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. 2024 Jul 8;38(13):e23813. doi: 10.1096/fj.202400725RR

The multifaceted role of beta‐blockers in overcoming cancer progression and drug resistance: Extending beyond cardiovascular disorders

Simona Cavalu 1, Sameh Saber 2,✉, Ahmed E Amer 2, Rabab S Hamad 3,4,✉, Mustafa Ahmed Abdel‐Reheim 5,6,✉, Elsayed A Elmorsy 7,8,✉, Amir Mohamed Abdelhamid 2
PMCID: PMC13687919  PMID: 38976162

Abstract

Beta‐blockers are commonly used medications that antagonize β‐adrenoceptors, reducing sympathetic nervous system activity. Emerging evidence suggests that beta‐blockers may also have anticancer effects and help overcome drug resistance in cancer treatment. This review summarizes the contribution of different isoforms of beta‐adrenoceptors in cancer progression, the current preclinical and clinical data on associations between beta‐blockers use and cancer outcomes, as well as their ability to enhance responses to chemotherapy and other standard therapies. We discuss proposed mechanisms, including effects on angiogenesis, metastasis, cancer stem cells, and apoptotic pathways. Overall, results from epidemiological studies and small clinical trials largely indicate the beneficial effects of beta‐blockers on cancer progression and drug resistance. However, larger randomized controlled trials are needed to firmly establish their clinical efficacy and optimal utilization as adjuvant agents in cancer therapy.

Keywords: angiogenesis, apoptosis, beta‐blockers, cancer, drug resistance, metastasis


Modulation of the Tumor Microenvironment by β‐Blockers: The tumor microenvironment is critical for cancer progression and therapeutic resistance. Cancer‐associated fibroblasts and epithelial‐to‐mesenchymal transition promote a supportive tumor stroma and invasion. Angiogenesis, mediated by vascular endothelial growth factor, allows nutrient and oxygen delivery. Meanwhile, cytokine signaling enables immune evasion. Beta‐blockers may reshape the tumor microenvironment by inhibiting angiogenesis, modifying immune cell infiltration and function, disrupting catecholaminergic niche signaling, and attenuating surgery‐induced immunosuppression. These effects highlight the potential of beta‐blockers to modulate the tumor microenvironment as a novel strategy to improve cancer therapy.

graphic file with name FSB2-38-e23813-g002.webp


Abbreviations

5‐FU

5‐fluorouracil

Akt

protein kinase B

AR

adrenoceptor

BCL‐2

B‐cell lymphoma 2

CDDP

cisplatin

COX‐2

cyclooxygenase 2

EPAC

exchange protein activated by adenylyl cyclase

ERK

extracellular signal–regulated kinase

MEK

mitogen‐activated protein kinase

MMP

matrix metalloproteinase

NF‐kB

nuclear factor kappa‐light‐chain‐enhancer of activated B cells

PAP

phosphatidate phosphatase

PD‐1

programmed cell death protein 1

PD‐L1

programmed cell death ligand 1

PD‐L1

programmed death ligand 1

p‐PKA

phospho‐protein kinase A

PTEN

phosphatase, and tensin homolog

Rap1A

Ras‐like guanine triphosphatase.

S1P2

S1P receptor 2

SK2

sphingosine kinase 2

TKI

tyrosine kinase inhibitor

TNBC

triple‐negative breast cancer

VEGF

vascular endothelial growth factor

1. INTRODUCTION

Beta‐blockers, also known as beta‐adrenergic blocking agents, are a class of medications that antagonize β‐adrenoceptors, blocking the binding and effects of norepinephrine and epinephrine. This results in reduced blood pressure and heart rate via decreased cardiac output. 1 Beta‐blockers such as propranolol are commonly prescribed for conditions including hypertension, coronary artery disease, arrhythmias, migraines, and anxiety. 2

Propranolol is a non‐selective beta‐adrenoceptor antagonist/inverse agonist that has been widely studied in the context of cancer progression and resistance. While initially developed as a cardiovascular agent, propranolol has been shown to exhibit additional properties relevant to its potential anticancer effects. Notably, it has been demonstrated to activate ERK phosphorylation, a signaling pathway implicated in various cellular processes, including proliferation and survival. 3 Furthermore, studies identified what appeared to be an off‐target effect of propranolol, attributed to its membrane‐stabilizing property. 4 , 5

Carvedilol, another beta‐blocker frequently investigated in cancer research, exhibits distinct pharmacological characteristics. It is a non‐selective beta‐adrenoceptor antagonist with additional alpha‐1 adrenoceptor blocking activity. 6 Importantly, carvedilol has been identified as a biased ligand, preferentially activating the β‐arrestin signaling pathway over the canonical G protein‐mediated pathway. 3 , 7 , 8 This unique property of carvedilol may contribute to its specific effects on cellular processes relevant to cancer progression and resistance.

Nadolol, a non‐selective beta‐adrenoceptor antagonist without intrinsic sympathomimetic activity, has been studied in various cancer contexts. While it exhibits traditional beta‐blocking properties, its specific mechanisms of action in cancer remain to be fully elucidated. 9 , 10

Atenolol and bisoprolol, which are selective beta‐1 adrenoceptor antagonists, have also been investigated for their potential anticancer effects. Its selectivity for the beta‐1 subtype may contribute to differential effects on cellular processes compared to non‐selective beta‐blockers. 11 , 12

By understanding the distinct pharmacological profiles of these beta‐blockers, researchers can gain insights into their potential mechanisms of action and therapeutic effects in cancer. The varying selectivity‐biased signaling properties and additional characteristics of these compounds may contribute to their differential impacts on cellular processes underlying cancer progression and resistance. In recent years, there has been growing interest in the potential anticancer effects of beta‐blockers. Both preclinical and epidemiological studies have suggested that beta‐blockers may inhibit cancer progression and improve outcomes in certain malignancies, such as breast, ovarian, and prostate cancers. 13 , 14 , 15 , 16 , 17 , 18 , 19 In addition, beta‐blockers may help sensitize cancer cells to chemotherapy and other standard therapies, reversing drug resistance, which poses a major obstacle to cancer treatment. 12 , 16 , 20

While some beta‐blockers like propranolol exhibit anticancer properties, others like bisoprolol do not. Some of them are biased ligands and can activate the beta‐arrestin‐ERK pathway, some are weak agonists, and some are inverse agonists. The anticancer effects of beta‐blockers may depend on the specific type of beta‐blocker, and the underlying mechanisms are not fully elucidated. Further research is needed to clarify the potential role of beta‐blockers in cancer prevention and treatment. This review summarizes current evidence from preclinical and clinical studies regarding the effects of beta‐blockers on cancer progression, drug resistance, radiotherapy, and immunotherapy. We also discuss proposed biological mechanisms that could mediate the observed anticancer and chemo‐sensitizing effects of beta‐blockers.

2. IMPACT OF THE DIFFERENT SUBTYPES OF β‐ADRENOCEPTORS ON CANCER PROGRESSION

The β‐adrenoceptor consists of three subtypes, β1, β2, and β3, which are found in various sites associated with tumor growth and metastasis, such as the brain, lung, liver, kidney, adrenal gland, breast, ovary, prostate, lymphoid tissues, bone marrow, and vasculature. 9 β‐adrenergic signaling plays a crucial role in regulating the biological activity of different cell types relevant to cancer, including epithelial cells, vascular myocytes and pericytes, adipocytes, fibroblasts, neural/glial cells, as well as lymphoid and myeloid immune cells. 21 , 22

The beta‐2 adrenoceptor (β2‐AR) exhibits a remarkable ability to couple to multiple signaling pathways, a phenomenon known as pleiotropic coupling. While the canonical pathway associated with β2‐AR activation involves the stimulation of the Gs protein, leading to an increase in cyclic AMP (cAMP) levels and subsequent activation of protein kinase A (PKA), Emerging evidence demonstrates that the β2‐AR can activate unique signaling pathways. Current research suggests that β2‐AR signaling is modulated through interactions with various proteins, including guanosine triphosphate‐binding proteins like Gs and Gi, protein kinases such as cAMP‐dependent protein kinase, protein kinase C, G‐protein‐coupled receptor kinases, and tyrosine kinases, as well as adaptor proteins like arrestins, A‐kinase anchoring proteins, and the Na+/H+‐exchanger regulatory factor. 23

Notably, the β2‐AR has been shown to engage the β‐arrestin pathway, which can lead to the activation of various downstream signaling events, including the mitogen‐activated protein kinase (MAPK) cascade. This pathway has been implicated in cellular processes such as proliferation, survival, and migration, which are crucial in the context of cancer progression and metastasis. 24 , 25 , 26 , 27 , 28

The pleiotropic coupling abilities of the β2‐AR have significant implications in the context of cancer progression and resistance. Different signaling pathways may be differentially involved in regulating cellular processes such as proliferation, apoptosis, and metastasis. 29 Consequently, the ability of the β2‐AR to engage multiple signaling cascades may contribute to its complex and multifaceted roles in various aspects of cancer development and treatment resistance. β2‐ARs, which are widely expressed in prostate luminal cells and are receptive to sympathetic impulses, are important in regulating numerous aspects of prostate cancer cell activity. They have been shown in studies to be involved in the transdifferentiation of cancer cells into neuroendocrine‐like cells. They also have an impact on processes such as apoptosis, angiogenesis, epithelial‐mesenchymal transition, cell migration, and metastasis. 30 Also, they were shown to be the most dominant in tumor‐related pathways until a few years ago. 31

However, growing evidence suggests that β3‐adrenoceptors play a role in the antioxidant defense system in cancer. These receptors were found to be implicated in tumor proliferation, angiogenesis, metastasis, and immune tolerance. Moreover, inhibition of β3‐adrenoceptors using the preferential antagonist SR59230A has been shown to increase reactive oxygen species (ROS) levels in cancer cells with subsequent cell death, decrease nitric oxide (NO) levels, and inhibit angiogenesis. 32 Recently, blocking β3‐adrenoceptors has been found to promote the reactivation of the immune response, partly through modulation of the programmed cell death Protein 1 (PD‐1)/programmed cell death Ligand 1 (PD‐L1) signaling axis. Notably, the blockade of β3‐adrenoceptors in tumor‐infiltrating lymphocytes diminished their ability to secrete interferon‐γ, resulting in reduced PD‐L1 expression on neuroblastoma tumor cells, which is influenced by TILs infiltration. Furthermore, the high expression of the β3‐adrenoceptor gene in neuroblastomas was shown to be associated with worse clinical outcomes compared to the low expression group. 33 The β3‐adrenoceptor has been shown to play a key role in the regulation of proliferation and the balance between stemness and differentiation in neuroblastoma through crosstalk with the sphingosine kinase 2 (SK2)/S1P receptor 2 (S1P2) axis. 31 The growth and progression of neuroblastoma were shown to be suppressed by the specific antagonism of β3‐adrenoceptors using SR59230A. 31 Another study showed that the administration of the preferential β1‐adrenoceptor antagonist, atenolol, resulted in a modest reduction in tumor growth without any effect on the development of mechanical allodynia in mice bearing K7M2 osteosarcoma. This study proposed that the antagonism of β2‐ and β3‐adrenoreceptors contributes not only to the reduction of tumor growth but also to the alleviation of cancer‐induced pain. 34

3. PRECLINICAL STUDIES

Numerous preclinical studies have demonstrated the anticancer effects of beta‐blockers in cell lines and animal models across a range of cancer types (Table 1). In vitro experiments have demonstrated that norepinephrine possesses a strong capacity to stimulate migratory activity in cell lines associated with colon, prostate, ovarian, and breast cancer. Conversely, the inhibition of β‐adrenoceptors appears to have a positive impact on the immune response and the regulation of cytokines. 9 , 46 , 47 , 48 In breast cancer models, beta‐blockers including propranolol reduced tumor growth and metastasis. 11 , 49 , 50 Propranolol also inhibited ovarian and prostate cancer growth in rodent models. 39 , 51 , 52 Furthermore, propranolol was reported to block the late phase of autophagy induced by 2‐deoxyglucose as a pro‐survival mechanism and therefore promote prostate cancer cell death through inhibition of autophagic flux and accumulation of autophagic vesicles, which consequently inhibits cell proliferation and induces cellular apoptosis. 39 The ability of propranolol to inhibit autophagic flux is attributed to its known suppression activity on the phosphatidate phosphatase (PAP) of lipins. 53

TABLE 1.

Summary of key preclinical studies on beta‐blockers in cancer models.

Cancer type Beta‐blocker used Key findings Proposed mechanisms Reference
Breast Propranolol Inhibited proliferation, migration, and invasion of breast cancer cells Suppression of phosphorylation of p38 MAPK in [35]
Breast Propranolol Suppressed the viability of human breast adenocarcinoma, hindered the progression of the cell cycle at G0/G1 and S phase, and induced cellular apoptosis Diminished the phosphorylation of (ERK)1/2 and the cyclo‐oxygenase 2 (COX‐2) expression [36]
Breast Carvedilol Blocking of neural regulation of breast cancer progression, reducing primary tumor growth and metastasis Blocking sympathetic nervous system activation and β‐adrenoceptor signaling [37]
Skin Carvedilol Prevented UV‐induced skin tumor development Inhibition of UV‐induced transcriptional activity of NF‐κB and Activator protein 1 (AP‐1) [38]
Prostate Propranolol +2DG Synergistic anti‐tumor effects Autophagy blocking through the suppression activity on phosphatidate phosphatase (PAP) of lipins [39]
Ovarian Propranolol Reduced metastasis Downregulation of MMPs [40]
Ovarian Propranolol Induced apoptosis Reduced expression of the anti‐apoptotic protein BCL‐2 [41]
Prostate and bladder Propranolol Increased apoptosis
  • Activation of caspase‐3 and encouraging the expression of BAX, Wee1, GADD153, and apoptosis‐inducing

  • Suppression of BCL‐2, ERK, and JNK

[42]
Sarcoma Propranolol Chemo‐sensitization, reduced viability Modulation of drug efflux, apoptosis [43]
Colorectal Propranolol Disrupted hypoxic adaptation, chemo‐sensitization Effects on HIF‐1α, pH regulation [44]
Oral Propranolol Reduced viability, migration Effects on NF‐kB, VEGF, Akt/PTEN [45]

Several studies have elucidated the potential mechanisms underlying the anticancer effects of beta‐blockers observed in preclinical models. Beta‐blockers have been found to inhibit angiogenesis, or the formation of new blood vessels, in cell and animal models of ovarian, prostate, and oral cancers. 54 , 55 , 56 Moreover, a recent study demonstrated the apoptotic capability of propranolol in prostate and bladder cancer cell lines through activation of caspase‐3 and encouraging the expression of BAX, Wee1, GADD153, and apoptosis‐inducing factor. Moreover, propranolol was found to suppress BCL‐2 expression in addition to JNK and ERK activities in the same study. 42

In breast cancer models, propranolol reduced the expression of vascular endothelial growth factor (VEGF), a key pro‐angiogenic factor. 57 Beta‐blockers also decreased cancer cell proliferation and survival in some preclinical studies. 58

Propranolol markedly suppressed the viability of the human breast adenocarcinoma cell line MDA‐MB‐231 cells, hindered the progression of the cell cycle at G0/G1 and S phases, and induced cellular apoptosis. Furthermore, propranolol significantly diminished the phosphorylation of (ERK)1/2 and the cyclo‐oxygenase 2 (COX‐2) expression. 36 Furthermore, MCF‐7 and MDA‐MB‐231 breast cancer cells were found to express beta‐adrenoceptors. It was observed that epinephrine stimulated the proliferation, migration, and invasion of breast cancer cells. Epinephrine treatment also increased the phosphorylation of p38 MAPK in the cells and promoted tumor growth in vivo. However, these effects were significantly reduced by the administration of propranolol. 35

Furthermore, beta‐blockers have been shown to inhibit metastasis or the spread of cancer to distant sites. In an orthotopic model of ovarian cancer, propranolol significantly reduced metastasis compared to control. 16 , 20 , 55 Downregulation of matrix metalloproteinases (MMPs), proteins involved in extracellular matrix breakdown and cell invasion, was proposed as a potential mechanism for the antimetastatic effects. 40 , 59 , 60 Moreover, in human ovarian cancer cells, propranolol induced apoptosis and reduced expression of the anti‐apoptotic protein BCL‐2. 41 Taken together, preclinical data indicate beta‐blockers can inhibit cancer progression through multiple mechanisms, providing biological plausibility for translational studies in human cancers.

A growing number of preclinical studies have demonstrated that beta‐blockers can re‐sensitize resistant cancer cells and enhance their responses to chemotherapy drugs both in vitro and in vivo. Preclinical studies have provided evidence that the beta‐blocker propranolol can help sensitize drug‐resistant cancer cells and enhance responses to chemotherapy. In sarcoma models, propranolol synergized with doxorubicin or docetaxel to inhibit the viability of diverse sarcoma subtypes, including angiosarcoma, leiomyosarcoma, and liposarcoma. The chemo‐sensitizing effects occurred with both beta‐blocker receptor‐inhibiting and non‐inhibiting enantiomers of propranolol, indicating β‐adrenoceptor‐independent mechanisms. 61 Mechanistically, propranolol increased cytoplasmic doxorubicin concentrations in sarcoma cells by reducing lysosomal sequestration and efflux of the drug. It also decreased the activity of the multidrug resistance efflux pump P‐glycoprotein, thereby increasing intracellular doxorubicin levels. Furthermore, propranolol attenuated Akt‐dependent pro‐survival signaling, and NF‐κB/COX‐2 pathway activation induced by doxorubicin and docetaxel, respectively, enhancing cell sensitivity. 43

Recent evidence indicates the non‐selective beta‐blocker propranolol may act as a chemo‐sensitizing agent in colorectal cancer models, including in 5‐fluorouracil‐resistant cells. Propranolol was found to disrupt the hypoxic adaptation of cancer cells by inhibiting HIF‐1α and carbonic anhydrase IX, key regulators of the tumor microenvironment. This led to the activation of apoptotic pathways and reduced growth of colorectal cancer cell xenografts, even in cells adapted to propranolol. The study highlights propranolol's ability to modulate signaling pathways that control the tumor microenvironment and influence the chemotherapeutic response. Blockade of β‐adrenoceptors was shown to disrupt microenvironment homeostasis and sensitize colorectal cancer cells to chemotherapy. 44

Overall, these preclinical findings provide evidence that repurposing propranolol as a chemosensitizer in combinatorial regimens could help overcome drug resistance mediated by the tumor microenvironment. A recent study found that the beta‐blocker propranolol reduced the viability of oral squamous cell carcinoma cells and enhanced the antitumor effects of cisplatin (CDDP) and 5‐fluorouracil (5‐FU). 45 Propranolol dose‐dependently eliminated oral cancer cells and significantly augmented the cytotoxicity of CDDP and 5‐FU. 45 Propranolol was shown to modulate multiple signaling pathways implicated in tumor progression and drug resistance, including downregulation of NF‐κB and VEGF and effects on the Akt/PTEN pathway. 45 , 62 Notably, the role of NF‐κB in inflammation and cancer progression has been extensively studied. 63 , 64 , 65 , 66 , 67 , 68 Propranolol also inhibits oral cancer cell migration. 45 Overall, this preclinical study provides evidence that propranolol can sensitize oral squamous cell carcinomas to chemotherapy through a variety of mechanisms. The chemo‐sensitizing and anti‐migratory effects further support the potential utility of propranolol as an adjunct to standard chemotherapy regimens in oral cancer. On the other hand, a recent study found that carvedilol blocks the neural regulation of breast cancer progression, reducing primary tumor growth and metastasis in a mouse model of breast cancer. 37 In the same study, carvedilol treatment effectively blocked the isoprenaline‐induced invasion of human breast cancer cell lines through an extracellular matrix. This study proposed that carvedilol's anticancer effects in breast cancer involve blocking sympathetic nervous system activation and β‐adrenoceptor signaling, ultimately slowing cancer progression. 37 Moreover, carvedilol prevented UV‐induced skin tumor development by inhibiting UV‐induced transcriptional activity of NF‐κB and activator protein 1 (AP‐1). 38 In contrast, bisoprolol, a selective β1‐adrenoceptor blocker, did not demonstrate any cytotoxic effects or impact on cell proliferation in breast cancer cell lines. 69

4. CLINICAL AND EPIDEMIOLOGICAL STUDIES

Several retrospective epidemiological studies have evaluated associations between beta‐blocker use and cancer outcomes in various malignancies (Table 2). The majority of research has focused on common cancers such as breast, prostate, and ovarian cancers. In many types of cancer, multiple studies found beta‐blocker use was associated with reduced cancer‐specific and overall mortality. 74 , 75 , 76 , 77 A meta‐analysis found that beta‐blocker use was associated with significantly reduced breast cancer mortality. 78 The associations appear strongest for early‐stage or localized diseases. 77 Proposed mechanisms include inhibition of angiogenesis and metastasis by blocking stress‐induced signals.

TABLE 2.

Summary of key clinical studies on beta‐blockers and cancer outcomes.

Cancer type Study design Sample size Key findings Reference
Breast Retrospective cohort >30 000 No overall survival benefit, benefit only in the TNBC subtype [15]
Breast Retrospective analysis >4000 Reduced breast cancer‐specific mortality [37]
Prostate Meta‐analysis ~17 000 Reduced cancer‐specific mortality, no effect on overall mortality [70]
Prostate Retrospective cohort >11 000 Lower recurrence with perioperative beta‐blocker use [71]
Ovarian Retrospective cohort >1400 Improved overall survival with non‐selective beta‐blockers [72]
Ovarian Population‐based cohort >9000 Increased mortality associated with beta‐blocker use [12]
Lung Retrospective analyses Varied Mixed results need prospective trials [73]

The potential anticancer effects of beta‐blockers in prostate cancer have been examined in multiple clinical studies, with conflicting results on their ability to improve outcomes. A cohort study of over 3500 prostate cancer patients with high‐risk or metastatic disease at diagnosis found that beta‐blocker use was associated with reduced prostate cancer‐specific mortality. 79 This suggests beta‐blockers may improve survival, specifically from prostate cancer, in patients with advanced disease. However, a meta‐analysis of nearly 17 000 prostate cancer patients observed reduced cancer‐specific mortality with beta‐blockers but no effect on all‐cause mortality. 70 The lack of association with all‐cause mortality tempers the evidence that beta‐blockers confer a survival advantage. Meanwhile, an analysis of over 11 000 prostate cancer patients undergoing radical prostatectomy found that perioperative beta‐blocker use significantly correlated with lower rates of treatment for cancer recurrence. 71 This indicates beta‐blockers may help prevent disease relapse after definitive treatment.

The evidence for beta‐blockers improving clinical outcomes in ovarian cancer has been mixed. A multicenter review of over 1400 ovarian cancer patients found that the use of non‐selective beta‐blockers was associated with longer overall survival. 72 This suggests non‐selective beta‐blockers may confer a survival advantage. However, a larger population‐based study of over 9000 ovarian cancer patients found that beta‐blocker use, both non‐selective and cardio‐selective types, was associated with increased mortality. 12 , 80 The decreased survival among beta‐blocker users may be explained by the greater prevalence of cardiovascular disease and comorbidities in older patients more likely to be prescribed beta‐blockers. A limitation was the lack of data on potential confounders like comorbidities that could impact survival. 12 , 80 The conflicting results from these two studies underscore the complexity of assessing beta‐blocker effects on ovarian cancer outcomes. While the first study found improved survival with non‐selective beta‐blocker use, the second, larger study associated beta‐blockers with increased mortality, possibly due to comorbidities in beta‐blocker users. Additional research is required to account for confounding factors to clarify the effects of different beta‐blocker types on ovarian cancer prognosis.

Clinical data evaluating beta‐blocker effects on outcomes in breast and lung cancer has shown mixed results. A large cohort study of over 30 000 breast cancer patients found no association between beta‐blocker use and breast cancer‐specific survival overall. 15 However, improved survival was seen specifically in patients with triple‐negative breast cancer (TNBC). This selective benefit in TNBC was confirmed in a meta‐analysis showing beta‐blockers were associated with better progression/recurrence‐free and breast cancer‐specific survival only in this subtype. 15 Meanwhile, a study in patients with EGFR‐mutant lung adenocarcinoma found former beta‐blocker use prolonged survival in those receiving first‐line EGFR tyrosine kinase inhibitors (TKIs). 73 Furthermore, a retrospective analysis of a large cohort of patients with breast cancer revealed that women using carvedilol at breast cancer diagnosis had reduced breast cancer‐specific mortality compared to those who did not. The 5‐year cumulative incidence of breast cancer deaths was 3.1% in carvedilol users versus 5.7% in non‐users. 37

Taken together, these studies provide signals that beta‐blockers may improve outcomes for certain molecular subtypes of breast cancer and augment the efficacy of targeted therapies like EGFR‐TKIs in lung cancer. However, the retrospective analyses are subject to limitations, such as potential residual confounding. Large prospective trials are required to firmly establish if incorporating beta‐blockers into treatment regimens benefits specific patient subsets across cancer types. Elucidating optimal beta‐blocker combinations with standard therapies will also be key in future research. Furthermore, prospective randomized trials are imperative to establish if incorporating beta‐blockers into treatment regimens can enhance clinical outcomes in this patient population. While epidemiological data largely supports the anticancer effects of beta‐blockers, confounding factors may impact associations in retrospective studies. Confounders such as comorbidities and socioeconomic status, which influence both beta‐blocker use and cancer outcomes, are difficult to fully account for. Therefore, randomized controlled trials are critical to establish definitive clinical evidence.

5. IMPACT OF BETA‐BLOCKERS ON CURRENT TREATMENTS

Propranolol was shown to sensitize human gastric adenocarcinoma cell lines (SGC‐7901 and BGC‐823) to radiation therapy through suppression of the downstream NF‐κB‐VEGF/EGFR/COX‐2 pathway. 81 Moreover, beta‐blockers have been found to markedly improve the radiotherapy efficacy in medulloblastoma by disrupting adaptive bioenergetic capacities, which consequently cause the overproduction of superoxide radicals and eventually enhance ionizing radiation‐intermediated DNA damages. 82 Likewise, in vitro treatment of adenocarcinoma cell lines (PC9 and A549) with propranolol combined with radiation or cisplatin diminished clonogenic survival of the lung. It suppressed the expression of phospho‐protein kinase A (p‐PKA) in both cell lines relative to radiotherapy or cisplatin alone. 83 A retrospective cohort study of 722 non‐small‐cell lung cancer patients revealed that beta‐blockers improved outcomes, with markedly better distant metastasis‐free survival and overall survival in those patients who received definitive radiotherapy. 84 Another retrospective cohort study demonstrated that b‐blockers show earlier and maintained outcomes in low‐ to medium‐grade intracranial meningiomas that were stereotactic irradiated. 85 Recently, a retrospective cohort study of 291 esophageal cancer patients who received chemoradiation reported that concurrent use of beta‐blockers was associated with enhancing progression‐free survival and overall survival. 86 On the other hand, in a study using a mouse model of melanoma, the combination of propranolol and IL‐2 or αPD‐1 immunotherapies significantly delayed tumor growth relative to immunomonotherapy. Furthermore, the same study performed a retrospective analysis of 195 metastatic melanoma patients, which demonstrated an improvement in overall survival in patients treated with beta‐blockers as an adjuvant to immunotherapy compared to immunotherapy alone. 87 In another retrospective study of 109 non‐small cell lung cancer patients, progression‐free survival was attenuated among patients treated with beta‐blockers and immune checkpoint inhibitors relative to immune checkpoint inhibitors without beta blockers. 88 Most recently, a phase III clinical trial of stage IIIA, IIIB, or IIIC melanoma patients suggested that beta‐blockers may improve the efficiency of adjunct pembrolizumab treatment. 89

6. MECHANISMS OF ACTION

Catecholamines like epinephrine and norepinephrine are secreted in response to stress and can promote cancer progression through multiple mechanisms. 9 Many tumors express adrenoceptors that allow them to respond to catecholamine signals. 90 Epidemiological studies have associated major life stressors with increased tumor progression and poorer cancer outcomes. Subsequent preclinical research found catecholamines enhance metastasis and suppress anti‐tumor immunity. Catecholamine signaling through β‐adrenoceptors activates intracellular pathways involved in cancer promotion, including cAMP‐PKA. 91 Overall, evidence indicates that stress‐induced catecholamine release can fuel tumor growth and metastasis through adrenergic signaling. This represents pathways by which psychological stress may adversely impact cancer outcomes.

Adrenoceptors (ARs) belong to a group of G‐protein‐coupled transmembrane receptors (GPCRs) that facilitate cellular growth and viability 92 upon interaction with small ligands like catecholamines, specifically adrenaline and noradrenaline. 93 Excessive stimulation or disruptions in GPCR signaling pathways often contribute to the development of cancer. This is due to the disruption of critical processes, including cell survival and proliferation, evasion of the immune system, promotion of tumor blood vessel formation (angiogenesis), invasion into surrounding tissues, metastasis, and resistance to therapeutic drugs. 94 When norepinephrine (NE) and epinephrine (E) bind to β‐receptors, they activate the Gαs guanine nucleotide‐binding protein, leading to the stimulation of adenylyl cyclase and the production of cyclic 3′–5′ adenosine monophosphate (cAMP). This transient increase in cAMP levels can modulate a wide range of cellular processes through two major downstream effector systems. 9 First, cAMP activates protein kinase A (PKA), which controls several cellular processes, including metabolism, growth, differentiation, neurotransmission, morphology, and proliferation. 95 Moreover, cAMP activates the guanine nucleotide Exchange Protein activated by Adenylyl Cyclase (EPAC). EPAC induces B‐Raf, MEK1/2, and ERK1/2 through the activation of Ras‐like guanine triphosphatase (Rap1A). While the influence of β‐adrenergic on inflammation, invasion, and angiogenesis is controlled mainly by the PKA‐mediated induction of cytokines and growth factors encoding genes, EPAC governs the effects on cell morphology and motility. 9 On the other hand, whereas β1‐AR and β2‐AR are primarily coupled to the stimulatory Gαs protein, the coupling of β3‐AR is more complex and can involve both Gαs and inhibitory Gαi proteins, depending on the tissue and species. 96 , 97 β3‐AR can also activate alternative signaling pathways, such as nitric oxide synthase and guanylyl cyclase, leading to increased cGMP levels. 96

7. EFFECT OF BETA‐BLOCKERS ON MECHANISMS OF CANCER PROGRESSION

Beta‐blockers are proposed to modulate several mechanisms involved in cancer progression and drug resistance. Elucidating these molecular mechanisms is key to understanding how to maximize their clinical benefits (Figure 1).

FIGURE 1.

FIGURE 1

Proposed mechanisms of beta‐blockers in cancer treatment.

In the context of cancer progression, beta‐blockers have demonstrated their efficacy in hindering several critical aspects, including angiogenesis, metastasis, and the proliferation and survival of cancer cells, 55 as previously elucidated. These effects have been attributed to the modulation of multiple signaling pathways. Preclinical investigations have indicated that the inhibition of β‐adrenoceptor (β‐AR) signaling through the use of a beta‐blocker can effectively impede various cellular mechanisms associated with the advancement of breast cancer. These mechanisms encompass the suppression of tumor cell proliferation, hindrance of metastatic development, induction of apoptosis, prevention of extracellular matrix invasion, suppression of matrix metalloprotease activation, reduction in the expression of inflammatory and chemotactic cytokines, inhibition of angiogenesis, and modulation of tumor immune responses. 14 , 98 Moreover, epidemiological and clinical data corroborate the potential translation of these anticancer properties into meaningful outcomes for human malignancies.

The intricate tumor microenvironment serves as a significant contributor to cancer progression and resistance to therapeutic interventions (Figure 2). 99 , 100 Emerging evidence suggests beta‐blockers may provide a novel approach to reshaping the tumor microenvironment and enhancing cancer treatment efficacy. The non‐selective beta‐blocker propranolol, used for cardiovascular conditions, has shown anti‐tumor effects in models of soft tissue sarcoma. 16 Oral propranolol administration delayed tumor progression and increased survival by reducing angiogenesis and increasing T‐cell infiltration. 16 It also upregulated PD‐L1 in tumor‐associated macrophages and improved immune checkpoint blockade outcomes. 16 These results demonstrate propranolol's ability to modulate the immunosuppressive microenvironment.

FIGURE 2.

FIGURE 2

Modulation of the tumor microenvironment by beta‐blockers: The tumor microenvironment is critical for cancer progression and therapeutic resistance. Cancer‐associated fibroblasts and epithelial‐to‐mesenchymal transition promote a supportive tumor stroma and invasion. Angiogenesis, mediated by vascular endothelial growth factor, allows nutrient and oxygen delivery. Meanwhile, cytokine signaling enables immune evasion. Beta‐blockers may reshape the tumor microenvironment by inhibiting angiogenesis, modifying immune cell infiltration and function, disrupting catecholaminergic niche signaling, and attenuating surgery‐induced immunosuppression. These effects highlight the potential of beta‐blockers to modulate the tumor microenvironment as a novel strategy to improve cancer therapy.

Beta‐blockers may also target adrenergic signaling pathways in the innervated niche around tumors. 101 Catecholamine‐mediated β‐adrenoceptor activation promotes proliferation, invasion, metastasis, and angiogenesis. 9 , 102 beta‐blockers could therefore disrupt this pro‐tumoral signaling. They may also improve immune surveillance by attenuating surgery‐induced immune suppression. 101 Additionally, beta‐blockers reduce myeloid‐derived suppressor cells that mediate immunosuppression and limit immunotherapy efficacy. 101 They may also promote cytotoxic CD8+ T cell activity. 103 In summary, by reshaping the microenvironment through effects on angiogenesis, immune cell infiltration and activity, and innervated niche signaling, beta‐blockers may offer a novel pharmacological approach to improve cancer treatment.

While VEGF inhibitors reduce excessive angiogenesis in cancer, 59 , 60 , 104 , 105 they are associated with frequently inducing hypertension and arterial events as side effects. 106 , 107 The non‐selective beta‐blocker carvedilol may help reverse VEGF inhibitor‐induced hypertension through its vasodilatory properties. 106 , 107 In contrast, selective β1 or β2 blockers may promote VEGF‐mediated angiogenesis, unlike non‐selective agents like carvedilol. 101

However, some clinical trials have reported increased mortality and recurrence with beta‐blocker use, though the mechanisms remain unclear. 108 , 109 The category of beta‐blockers appears to be important, as different agents may have distinct effects on VEGF signaling and angiogenesis. Careful attention to the risks and benefits of specific beta‐blocker types is therefore essential when investigating their utility in combination with VEGF inhibitors.

In the realm of drug resistance, a subset of tumor cells known as cancer stem cells has emerged as pivotal players due to their self‐renewal capabilities and their role in re‐establishing tumor diversity following chemotherapy. 110 Preclinical studies have shown adrenergic signaling can interact with cancer stem cell properties to promote drug resistance. In lung cancer models, epinephrine treatment increased the cancer stem cell fraction in vitro, while stress reduction diminished stem cell marker expression and tumor growth in vivo. 111 As cancer stem cells mediate resistance through their self‐renewal and tumor repopulation capacity, targeting their adrenergic regulation represents a potential approach for beta‐blockers to overcome resistance. 112 , 113 , 114 , 115

Emerging evidence suggests beta‐blockers may enhance cancer treatment efficacy by modulating apoptotic signaling pathways implicated in therapeutic resistance. Preclinical studies have shown beta‐blockers can promote apoptosis through diverse mechanisms in various malignancies. In gastric cancer models, the non‐selective beta‐blocker propranolol inhibited cell proliferation and induced apoptosis by downregulating anti‐apoptotic pathways like MEK–ERK. 116 Propranolol similarly arrested cell cycle progression and triggered apoptosis in triple‐negative breast cancer cells, mediated by suppressing the ERK/COX‐2 pro‐survival pathway. 36 Selective and non‐selective beta‐blockers also induced apoptosis in lung cancer and normal lung cells, although sensitivity varied based on the beta‐blocker subtype. The non‐selective agent nadolol most potently increased apoptotic signaling through mitochondrial and endoplasmic reticulum stress‐mediated mechanisms. 117

Together, these findings indicate that beta‐blockers can modulate key apoptotic pathways to induce cancer cell death. However, effects appear dependent on beta‐blocker selectivity and cell context. Additionally, defects in apoptotic pathways often contribute to chemoresistance by impeding cell death. 118 , 119 , 120 Additional research is needed to optimize beta‐blocker types and identify malignancies in which promoting apoptosis through these agents in combination regimens may improve therapeutic outcomes. Elucidating the signaling mechanisms involved will help guide translational efforts focused on apoptotic modulation (Table 3).

TABLE 3.

Summary of preclinical and clinical studies on the impact of beta‐blockers on radiotherapy and immunotherapy.

Study type Key findings Reference
In vitro study (human gastric adenocarcinoma cell lines) Propranolol sensitized cancer cells to radiation therapy by suppressing the NF‐κB‐VEGF/EGFR/COX‐2 pathway [81]
In vitro and in vivo study (medulloblastoma) Beta‐blockers improved radiotherapy efficacy by disrupting adaptive bioenergetic capacities, leading to enhanced DNA damage [82]
In vitro study (adenocarcinoma cell lines) Propranolol combined with radiation or cisplatin reduced cell survival and suppressed p‐PKA expression [83]
Retrospective cohort study (non‐small‐cell lung cancer patients) Beta‐blockers improved distant metastasis‐free survival and overall survival in patients receiving radiotherapy [84]
Retrospective cohort study (low‐ to medium‐grade intracranial meningiomas) Beta‐blockers improved outcomes in patients treated with stereotactic irradiation [85]
Retrospective cohort study (esophageal cancer patients) Concurrent use of beta blockers improved progression‐free survival and overall survival in patients receiving chemoradiation [86]
Mouse model study (melanoma) The combination of propranolol and immunotherapies delayed tumor growth and improved survival in mice [87]
Retrospective analysis (metastatic melanoma patients) Beta‐blockers improved overall survival in patients receiving immunotherapy [87]
Retrospective study (non‐small cell lung cancer patients) Beta‐blockers attenuated progression‐free survival in patients treated with immune checkpoint inhibitors [88]
Phase III clinical trial (stage IIIA, IIIB, and IIIC melanoma patients) Beta‐blockers may improve the efficiency of adjunct pembrolizumab treatment [89]

8. CONCLUSIONS AND FUTURE DIRECTIONS

In summary, accumulating preclinical and clinical evidence indicates beta‐blockers may have broad utility in cancer therapy. Data supports their ability to inhibit cancer progression through anti‐angiogenic, anti‐metastatic, and anti‐proliferative effects. In addition, beta‐blockers show promise in reversing drug resistance to standard therapies like chemotherapy and enhancing treatment responses in diverse malignancies. Effects on the tumor microenvironment, cancer stem cell populations, and pro‐apoptotic signaling represent potential key mechanisms by which beta‐blockers modulate cancer progression and drug resistance. Moreover, our study represents recent evidence addressing the contribution of β3‐adrenoceptors in cancer progression, the role of antagonism of β3‐adrenoceptors in cancer treatment, and the positive impact of beta‐blockers on the responsiveness to radiotherapy and immunotherapy.

Larger randomized controlled trials are necessary to firmly establish the clinical efficacy and optimal utilization of beta‐blockers as adjuncts to existing cancer treatments. Key questions remain regarding the ideal beta‐blocker types, dosing schedules, and combination strategies with current therapies. Ongoing and future translational research studies will help address these knowledge gaps and determine whether beta‐blockers can be effectively incorporated into the anticancer armamentarium. Given their long history of safe use and low cost, beta‐blockers represent a promising pharmacological strategy against cancer progression and drug resistance if their clinical benefits are borne out.

AUTHOR CONTRIBUTIONS

Simona Cavalu, Sameh Saber, Ahmed E. Amer, Rabab S. Hamad, Mustafa Ahmed Abdel‐Reheim, Elsayed A. Elmorsy, and Amir Mohamed Abdelhamid contributed to the conceptualization, literature review, editing, reviewing, interpretation, final edition, and approval of the manuscript.

DISCLOSURES

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

ACKNOWLEDGMENTS

The University of Oradea, Romania funded the article processing charges for this manuscript's publication. Author S. Cavalu also acknowledges the technical support from University of Oradea. This work was supported by the Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia (Grant No. GrantA331). The authors would like to thank the Deanship of Scientific Research at Shaqra University for supporting this work.

Contributor Information

Sameh Saber, Email: sampharm81@gmail.com.

Rabab S. Hamad, Email: rhamad@kfu.edu.sa.

Mustafa Ahmed Abdel‐Reheim, Email: m.ahmed@su.edu.sa.

Elsayed A. Elmorsy, Email: elsayedcp@mans.edu.eg, Email: a.almarsa@qu.edu.sa, Email: a.almarsa@qu.edu.sa.

DATA AVAILABILITY STATEMENT

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

REFERENCES

  • 1. Oliver E, Mayor F Jr, D'Ocon P. Beta‐blockers: historical perspective and mechanisms of action. Rev Esp Cardiol (Engl Ed). 2019;72:853‐862. [DOI] [PubMed] [Google Scholar]
  • 2. Mancia G, Kjeldsen SE, Kreutz R, Pathak A, Grassi G, Esler M. Individualized beta‐blocker treatment for high blood pressure dictated by medical comorbidities: indications beyond the 2018 European Society of Cardiology/European Society of Hypertension Guidelines. Hypertension. 2022;79:1153‐1166. [DOI] [PubMed] [Google Scholar]
  • 3. Wisler JW, DeWire SM, Whalen EJ, et al. A unique mechanism of beta‐blocker action: carvedilol stimulates beta‐arrestin signaling. Proc Natl Acad Sci USA. 2007;104:16657‐16662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Wang DW, Mistry AM, Kahlig KM, Kearney JA, Xiang J, George AL. Propranolol blocks cardiac and neuronal voltage‐gated sodium channels. Front Pharmacol. 2010;1:144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Kowaluk B, Khaper N, Rigatto C, Palace V, Singal PK. Mechanisms of cardioprotective effects of propranolol against reperfusion injury. In: Mochizuki S, Takeda N, Nagano M, Dhalla NS, eds. The Ischemic Heart. Springer US; 1998:367‐377. [Google Scholar]
  • 6. Feuerstein GZ, Ruffolo RR Jr. Carvedilol, a novel multiple action antihypertensive agent with antioxidant activity and the potential for myocardial and vascular protection. Eur Heart J. 1995;16 Suppl F:38‐42. [DOI] [PubMed] [Google Scholar]
  • 7. Tilley DG, Kim IM, Patel PA, Violin JD, Rockman HA. beta‐Arrestin mediates beta1‐adrenergic receptor‐epidermal growth factor receptor interaction and downstream signaling. J Biol Chem. 2009;284:20375‐20386. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Kim IM, Tilley DG, Chen J, et al. Beta‐blockers alprenolol and carvedilol stimulate beta‐arrestin‐mediated EGFR transactivation. Proc Natl Acad Sci USA. 2008;105:14555‐14560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Cole SW, Sood AK. Molecular pathways: beta‐adrenergic signaling in cancer. Clin Cancer Res. 2012;18:1201‐1206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Heel RC, Brogden RN, Pakes GE, Speight TM, Avery GS. Nadolol: a review of its pharmacological properties and therapeutic efficacy in hypertension and angina pectoris. Drugs. 1980;20:1‐23. [DOI] [PubMed] [Google Scholar]
  • 11. İşeri ÖD, Sahin FI, Terzi YK, Yurtcu E, Erdem SR, Sarialioglu F. beta‐Adrenoreceptor antagonists reduce cancer cell proliferation, invasion, and migration. Pharm Biol. 2014;52:1374‐1381. [DOI] [PubMed] [Google Scholar]
  • 12. Peixoto R, Pereira MDL, Oliveira M. Beta‐blockers and cancer: where are we? Pharmaceuticals (Basel). 2020;13:105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Caparica R, Bruzzone M, Agostinetto E, et al. Beta‐blockers in early‐stage breast cancer: a systematic review and meta‐analysis. ESMO Open. 2021;6:100066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Barron TI, Sharp L, Visvanathan K. Beta‐adrenergic blocking drugs in breast cancer: a perspective review. Ther Adv Med Oncol. 2012;4:113‐125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Løfling LL, Støer NC, Sloan EK, et al. β‐Blockers and breast cancer survival by molecular subtypes: a population‐based cohort study and meta‐analysis. Br J Cancer. 2022;127:1086‐1096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Fjæstad KY, Rømer AMA, Goitea V, et al. Blockade of beta‐adrenergic receptors reduces cancer growth and enhances the response to anti‐CTLA4 therapy by modulating the tumor microenvironment. Oncogene. 2022;41:1364‐1375. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Hanley GE, Kaur P, Berchuck A, et al. Cardiovascular medications and survival in people with ovarian cancer: a population‐based cohort study from British Columbia, Canada. Gynecol Oncol. 2021;162:461‐468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Baek MH, Kim DY, Kim SO, Kim YJ, Park YH. Impact of beta blockers on survival outcomes in ovarian cancer: a nationwide population‐based cohort study. J Gynecol Oncol. 2018;29:e82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Couttenier A, Lacroix O, Silversmit G, Vaes E, De Schutter H, Robert A. Beta‐blocker use and mortality following ovarian cancer diagnosis: a population‐based study. Cancer Epidemiol. 2019;62:101579. [DOI] [PubMed] [Google Scholar]
  • 20. Nagaraja AS, Sadaoui NC, Lutgendorf SK, Ramondetta LM, Sood AK. β‐Blockers: a new role in cancer chemotherapy? Expert Opin Investig Drugs. 2013;22:1359‐1363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Daly CJ, McGrath JC. Previously unsuspected widespread cellular and tissue distribution of β‐adrenoceptors and its relevance to drug action. Trends Pharmacol Sci. 2011;32:219‐226. [DOI] [PubMed] [Google Scholar]
  • 22. Baker JG, Hill SJ, Summers RJ. Evolution of β‐blockers: from anti‐anginal drugs to ligand‐directed signalling. Trends Pharmacol Sci. 2011;32:227‐234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Benovic JL. Novel beta2‐adrenergic receptor signaling pathways. J Allergy Clin Immunol. 2002;110:S229‐S235. [DOI] [PubMed] [Google Scholar]
  • 24. Lin A, DeFea KA. β‐Arrestin‐kinase scaffolds: turn them on or turn them off? Wiley Interdiscip Rev Syst Biol Med. 2013;5:231‐241. [DOI] [PubMed] [Google Scholar]
  • 25. Shenoy SK, Drake MT, Nelson CD, et al. Beta‐arrestin‐dependent, G protein‐independent ERK1/2 activation by the beta2 adrenergic receptor. J Biol Chem. 2006;281:1261‐1273. [DOI] [PubMed] [Google Scholar]
  • 26. Kim K, Han Y, Duan L, Chung KY. Scaffolding of mitogen‐activated protein kinase signaling by β‐Arrestins. Int J Mol Sci. 2022;23:1000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Jean‐Charles PY, Kaur S, Shenoy SK. G protein‐coupled receptor signaling through β‐Arrestin‐dependent mechanisms. J Cardiovasc Pharmacol. 2017;70:142‐158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Song Q, Ji Q, Li Q. The role and mechanism of β‐arrestins in cancer invasion and metastasis (review). Int J Mol Med. 2018;41:631‐639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Nilsson MB, Le X, Heymach JV. β‐Adrenergic signaling in lung cancer: a potential role for Beta‐blockers. J Neuroimmune Pharmacol. 2020;15:27‐36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Braadland P, Ramberg H, Grytli H, Taskén K. β‐Adrenergic receptor signaling in prostate cancer. Front Oncol. 2015;4:375. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Bruno G, Cencetti F, Pini A, et al. β3‐adrenoreceptor blockade reduces tumor growth and increases neuronal differentiation in neuroblastoma via SK2/S1P(2) modulation. Oncogene. 2020;39:368‐384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Calvani M, Subbiani A, Vignoli M, Favre C. Spotlight on ROS and β3‐adrenoreceptors fighting in cancer cells. Oxidative Med Cell Longev. 2019;2019:6346529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Bruno G, Nastasi N, Subbiani A, et al. β3‐adrenergic receptor on tumor‐infiltrating lymphocytes sustains IFN‐γ‐dependent PD‐L1 expression and impairs anti‐tumor immunity in neuroblastoma. Cancer Gene Ther. 2023;30:890‐904. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Bruno G, De Logu F, Souza Monteiro de Araujo D, et al. β2‐and β3‐adrenergic receptors contribute to cancer‐evoked pain in a mouse model of osteosarcoma via modulation of neural macrophages. Front Pharmacol. 2021;12:697912. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Ouyang X, Zhu Z, Yang C, Wang L, Ding G, Jiang F. Epinephrine increases malignancy of breast cancer through p38 MAPK signaling pathway in depressive disorders. Int J Clin Exp Pathol. 2019;12:1932‐1946. [PMC free article] [PubMed] [Google Scholar]
  • 36. Xie WY, He RH, Zhang J, et al. β‐Blockers inhibit the viability of breast cancer cells by regulating the ERK/COX‐2 signaling pathway and the drug response is affected by ADRB2 single‐nucleotide polymorphisms. Oncol Rep. 2019;41:341‐350. [DOI] [PubMed] [Google Scholar]
  • 37. Gillis RD, Botteri E, Chang A, et al. Carvedilol blocks neural regulation of breast cancer progression in vivo and is associated with reduced breast cancer mortality in patients. Eur J Cancer. 2021;147:106‐116. [DOI] [PubMed] [Google Scholar]
  • 38. Huang KM, Liang S, Yeung S, et al. Topically applied carvedilol attenuates solar ultraviolet radiation induced skin carcinogenesis. Cancer Prev Res. 2017;10:598‐606. [DOI] [PubMed] [Google Scholar]
  • 39. Brohée L, Peulen O, Nusgens B, et al. Propranolol sensitizes prostate cancer cells to glucose metabolism inhibition and prevents cancer progression. Sci Rep. 2018;8:7050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Hajighasemi F. Inhibition of matrix metalloproteinase‐2 activity by propranolol in immunocompetent cells. Eur Respiratory Soc. 2013;42:P3151. [Google Scholar]
  • 41. Zhao S, Fan S, Shi Y, et al. Propranolol induced apoptosis and autophagy via the ROS/JNK signaling pathway in human ovarian cancer. J Cancer. 2020;11:5900‐5910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Özler S, Pazarci P. Anti‐tumoral effect of beta‐blockers on prostate and bladder cancer cells via mitogen‐activated protein kinase pathways. Anti‐Cancer Drugs. 2022;33:384‐388. [DOI] [PubMed] [Google Scholar]
  • 43. Saha J, Kim JH, Amaya CN, et al. Propranolol sensitizes vascular sarcoma cells to doxorubicin by altering lysosomal drug sequestration and drug efflux. Front Oncol. 2020;10:614288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Puzderova B, Belvoncikova P, Grossmannova K, et al. Propranolol, promising chemosensitizer and candidate for the combined therapy through disruption of tumor microenvironment homeostasis by decreasing the level of carbonic anhydrase IX. Int J Mol Sci. 2023;24:11094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Shibuya CM, Tjioe KC, Oliveira SHP, Bernabé DG. Propranolol inhibits cell viability and expression of the pro‐tumorigenic proteins Akt, NF‐ĸB, and VEGF in oral squamous cell carcinoma. Arch Oral Biol. 2022;136:105383. [DOI] [PubMed] [Google Scholar]
  • 46. Pon CK, Lane JR, Sloan EK, Halls ML. The β2‐adrenoceptor activates a positive cAMP‐calcium feedforward loop to drive breast cancer cell invasion. FASEB J. 2016;30:1144‐1154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Chang A, Le CP, Walker AK, et al. β2‐Adrenoceptors on tumor cells play a critical role in stress‐enhanced metastasis in a mouse model of breast cancer. Brain Behav Immun. 2016;57:106‐115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Sloan EK, Priceman SJ, Cox BF, et al. The sympathetic nervous system induces a metastatic switch in primary breast cancer. Cancer Res. 2010;70:7042‐7052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Powe DG, Voss MJ, Zänker KS, et al. Beta‐blocker drug therapy reduces secondary cancer formation in breast cancer and improves cancer specific survival. Oncotarget. 2010;1:628‐638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Pantziarka P, Bryan BA, Crispino S, Dickerson EB. Propranolol and breast cancer‐a work in progress. Ecancermedicalscience. 2018;12:ed82. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Ramondetta LM, Hu W, Thaker PH, et al. Prospective pilot trial with combination of propranolol with chemotherapy in patients with epithelial ovarian cancer and evaluation on circulating immune cell gene expression. Gynecol Oncol. 2019;154:524‐530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Chang PY, Huang WY, Lin CL, et al. Propranolol reduces cancer risk: a population‐based cohort study. Medicine. 2015;94:e1097. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Brohée L, Demine S, Willems J, Arnould T, Colige AC, Deroanne CF. Lipin‐1 regulates cancer cell phenotype and is a potential target to potentiate rapamycin treatment. Oncotarget. 2015;6:11264‐11280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Nuevo‐Tapioles C, Santacatterina F, Stamatakis K, et al. Coordinate β‐adrenergic inhibition of mitochondrial activity and angiogenesis arrest tumor growth. Nat Commun. 2020;11:3606. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Ji Y, Chen S, Xiao X, Zheng S, Li K. β‐Blockers: a novel class of antitumor agents. Onco Targets Ther. 2012;5:391‐401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Lopes‐Coelho F, Martins F, Pereira SA, Serpa J. Anti‐Angiogenic therapy: current challenges and future perspectives. Int J Mol Sci. 2021;22:3765. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Zhang L, Mai HM, Zheng J, et al. Propranolol inhibits angiogenesis via down‐regulating the expression of vascular endothelial growth factor in hemangioma derived stem cell. Int J Clin Exp Pathol. 2014;7:48‐55. [PMC free article] [PubMed] [Google Scholar]
  • 58. Coelho M, Soares‐Silva C, Brandão D, Marino F, Cosentino M, Ribeiro L. β‐Adrenergic modulation of cancer cell proliferation: available evidence and clinical perspectives. J Cancer Res Clin Oncol. 2017;143:275‐291. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Abd El‐Fattah EE, Saber S, Youssef ME, et al. AKT‐AMPKα‐mTOR‐dependent HIF‐1α activation is a new therapeutic target for cancer treatment: a novel approach to repositioning the antidiabetic drug Sitagliptin for the management of hepatocellular carcinoma. Front Pharmacol. 2022;12:720173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Saber S, El‐Fattah EEA, Abdelhamid AM, et al. Innovative challenge for the inhibition of hepatocellular carcinoma progression by combined targeting of HSP90 and STAT3/HIF‐1α signaling. Biomed Pharmacother. 2023;158:114196. [DOI] [PubMed] [Google Scholar]
  • 61. Porcelli L, Garofoli M, Di Fonte R, et al. The β‐adrenergic receptor antagonist propranolol offsets resistance mechanisms to chemotherapeutics in diverse sarcoma subtypes: a pilot study. Sci Rep. 2020;10:10465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Li D, Li P, Guo Z, Wang H, Pan W. Downregulation of miR‐382 by propranolol inhibits the progression of infantile hemangioma via the PTEN‐mediated AKT/mTOR pathway. Int J Mol Med. 2017;39:757‐763. [DOI] [PubMed] [Google Scholar]
  • 63. Saber S, Mahmoud A, Helal N, El‐Ahwany E, Abdelghany R. Liver protective effects of renin‐angiotensin system inhibition have No survival benefits in hepatocellular carcinoma induced by repetitive administration of diethylnitrosamine in mice. Open Access Maced J Med Sci. 2018;6:955‐960. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Saber S. Angiotensin II: a key mediator in the development of liver fibrosis and cancer. Bull Natl Res Cent. 2018;42:18. [Google Scholar]
  • 65. Abdelhamid AM, Youssef ME, Abd El‐Fattah EE, et al. Blunting p38 MAPKα and ERK1/2 activities by empagliflozin enhances the antifibrotic effect of metformin and augments its AMPK‐induced NF‐κB inactivation in mice intoxicated with carbon tetrachloride. Life Sci. 2021;286:120070. [DOI] [PubMed] [Google Scholar]
  • 66. Yahya G, Ebada A, Khalaf EM, et al. Soil‐associated bacillus species: a reservoir of bioactive compounds with potential therapeutic activity against human pathogens. Microorganisms. 2021;9:1131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Saber S, Yahya G, Gobba NA, et al. The supportive role of NSC328382, a P2X7R antagonist, in enhancing the inhibitory effect of CRID3 on NLRP3 inflammasome activation in rats with dextran sodium sulfate‐induced colitis. J Inflamm Res. 2021;14:3443‐3463. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Nasr M, Cavalu S, Saber S, et al. Canagliflozin‐loaded chitosan‐hyaluronic acid microspheres modulate AMPK/NF‐κB/NLRP3 axis: a new paradigm in the rectal therapy of ulcerative colitis. Biomed Pharmacother. 2022;153:113409. [DOI] [PubMed] [Google Scholar]
  • 69. Szewczyk M, Richter C, Briese V, Richter D‐U. A retrospective in vitro study of the impact of anti‐diabetics and cardioselective pharmaceuticals on breast cancer. Anticancer Res. 2012;32:2133‐2138. [PubMed] [Google Scholar]
  • 70. Lu H, Liu X, Guo F, et al. Impact of beta‐blockers on prostate cancer mortality: a meta‐analysis of 16,825 patients. Onco Targets Ther. 2015;8:985‐990. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Sivanesan S, Taskén KA, Grytli HH. Association of β‐blocker use at time of radical prostatectomy with rate of treatment for prostate cancer recurrence. JAMA Netw Open. 2022;5:e2145230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Watkins JL, Thaker PH, Nick AM, et al. Clinical impact of selective and nonselective beta‐blockers on survival in patients with ovarian cancer. Cancer. 2015;121:3444‐3451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Chang CH, Lee CH, Ko JC, et al. Effect of β‐blocker in treatment‐Naïve patients with advanced lung adenocarcinoma receiving first‐generation EGFR‐TKIs. Front Oncol. 2020;10:583529. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Barron TI, Connolly RM, Sharp L, Bennett K, Visvanathan K. Beta blockers and breast cancer mortality: a population‐ based study. J Clin Oncol. 2011;29:2635‐2644. [DOI] [PubMed] [Google Scholar]
  • 75. Chen HY, Zhao W, Na'ara S, et al. Beta‐blocker use is associated with worse relapse‐free survival in patients with head and neck cancer. JCO Precis Oncol. 2023;7:e2200490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Spera G, Fresco R, Fung H, et al. Beta blockers and improved progression‐free survival in patients with advanced HER2 negative breast cancer: a retrospective analysis of the ROSE/TRIO‐012 study. Ann Oncol. 2017;28:1836‐1841. [DOI] [PubMed] [Google Scholar]
  • 77. Melhem‐Bertrandt A, Chavez‐Macgregor M, Lei X, et al. Beta‐blocker use is associated with improved relapse‐free survival in patients with triple‐negative breast cancer. J Clin Oncol. 2011;29:2645‐2652. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Childers WK, Hollenbeak CS, Cheriyath P. β‐Blockers reduce breast cancer recurrence and breast cancer death: a meta‐analysis. Clin Breast Cancer. 2015;15:426‐431. [DOI] [PubMed] [Google Scholar]
  • 79. Grytli HH, Fagerland MW, Fosså SD, Taskén KA. Association between use of β‐blockers and prostate cancer‐specific survival: a cohort study of 3561 prostate cancer patients with high‐risk or metastatic disease. Eur Urol. 2014;65:635‐641. [DOI] [PubMed] [Google Scholar]
  • 80. Johannesdottir SA, Schmidt M, Phillips G, et al. Use of ß‐blockers and mortality following ovarian cancer diagnosis: a population‐based cohort study. BMC Cancer. 2013;13:85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Liao X, Che X, Zhao W, et al. Effects of propranolol in combination with radiation on apoptosis and survival of gastric cancer cells in vitro. Radiat Oncol. 2010;5:98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Rossi M, Talbot J, Piris P, et al. Beta‐blockers disrupt mitochondrial bioenergetics and increase radiotherapy efficacy independently of beta‐adrenergic receptors in medulloblastoma. EBioMedicine. 2022;82:104149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Chaudhary KR, Yan SX, Heilbroner SP, et al. Effects of β‐adrenergic antagonists on chemoradiation therapy for locally advanced non‐small cell lung cancer. J Clin Med. 2019;8:575. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Wang HM, Liao ZX, Komaki R, et al. Improved survival outcomes with the incidental use of beta‐blockers among patients with non‐small‐cell lung cancer treated with definitive radiation therapy. Ann Oncol. 2013;24:1312‐1319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Pintea B, Kinfe TM, Baumert BG, Boström J. Earlier and sustained response with incidental use of cardiovascular drugs among patients with low‐ to medium‐grade meningiomas treated with radiosurgery (SRS) or stereotactic radiotherapy (SRT). Radiother Oncol. 2014;111:446‐450. [DOI] [PubMed] [Google Scholar]
  • 86. Farrugia MK, Ma SJ, Mattson DM, Flaherty L, Repasky EA, Singh AK. Concurrent β‐blocker use is associated with improved outcome in esophageal cancer patients who undergo chemoradiation: a retrospective matched‐pair analysis. Am J Clin Oncol. 2020;43:889‐894. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Kokolus KM, Zhang Y, Sivik JM, et al. Beta blocker use correlates with better overall survival in metastatic melanoma patients and improves the efficacy of immunotherapies in mice. Onco Targets Ther. 2018;7:e1405205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Oh MS, Guzner A, Wainwright DA, et al. The impact of beta blockers on survival outcomes in patients with non‐small‐cell lung cancer treated with immune checkpoint inhibitors. Clin Lung Cancer. 2021;22:e57‐e62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Kennedy OJ, Kicinski M, Valpione S, et al. Prognostic and predictive value of β‐blockers in the EORTC 1325/KEYNOTE‐054 phase III trial of pembrolizumab versus placebo in resected high‐risk stage III melanoma. Eur J Cancer. 2022;165:97‐112. [DOI] [PubMed] [Google Scholar]
  • 90. Pérez‐Sayáns M, Somoza‐Martín JM, Barros‐Angueira F, Diz PG, Gándara Rey JM, García‐García A. Beta‐adrenergic receptors in cancer: therapeutic implications. Oncol Res. 2010;19:45‐54. [DOI] [PubMed] [Google Scholar]
  • 91. Fischer A, Ben‐Eliyahu S. Perioperative stress, inflammation, and cancer progression:opportunities for intervention in breast and colorectal cancer surgery UtilizingBeta‐adrenergic blockade and COX‐2 inhibition. Curr Anesthesiol Rep. 2018;8:386‐392. [Google Scholar]
  • 92. Bockaert J, Pin JP. Molecular tinkering of G protein‐coupled receptors: an evolutionary success. EMBO J. 1999;18:1723‐1729. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Vilardaga JP, Bünemann M, Feinstein TN, et al. GPCR and G proteins: drug efficacy and activation in live cells. Mol Endocrinol. 2009;23:590‐599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94. Arang N, Gutkind JS. G protein‐coupled receptors and heterotrimeric G proteins as cancer drivers. FEBS Lett. 2020;594:4201‐4232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Zhang X, Odom DT, Koo SH, et al. Genome‐wide analysis of cAMP‐response element binding protein occupancy, phosphorylation, and target gene activation in human tissues. Proc Natl Acad Sci USA. 2005;102:4459‐4464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Cannavo A, Koch WJ. Targeting β3‐adrenergic receptors in the heart: selective agonism and β‐blockade. J Cardiovasc Pharmacol. 2017;69:71‐78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Michel LYM, Farah C, Balligand J‐L. The Beta3 adrenergic receptor in healthy and pathological cardiovascular tissues. Cells. 2020;9:2584. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98. Zhao Y, Li W. Beta‐adrenergic signaling on neuroendocrine differentiation, angiogenesis, and metastasis in prostate cancer progression. Asian J Androl. 2019;21:253‐259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Bejarano L, Jordāo MJC, Joyce JA. Therapeutic targeting of the tumor microenvironment. Cancer Discov. 2021;11:933‐959. [DOI] [PubMed] [Google Scholar]
  • 100. Neophytou CM, Panagi M, Stylianopoulos T, Papageorgis P. The role of tumor microenvironment in cancer metastasis: molecular mechanisms and therapeutic opportunities. Cancers (Basel). 2021;13:2053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. Jin M‐Z, Jin W‐L. The updated landscape of tumor microenvironment and drug repurposing. Signal Transduct Target Ther. 2020;5:166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102. Tang J, Li Z, Lu L, Cho CH. β‐Adrenergic system, a backstage manipulator regulating tumour progression and drug target in cancer therapy. Semin Cancer Biol. 2013;23:533‐542. [DOI] [PubMed] [Google Scholar]
  • 103. Qiao G, Bucsek MJ, Winder NM, et al. β‐Adrenergic signaling blocks murine CD8(+) T‐cell metabolic reprogramming during activation: a mechanism for immunosuppression by adrenergic stress. Cancer Immunol Immunother. 2019;68:11‐22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104. Mourad AAE, Khodir AE, Saber S, Mourad MAE. Novel potent and selective DPP‐4 inhibitors: design, synthesis and molecular docking study of dihydropyrimidine phthalimide hybrids. Pharmaceuticals (Basel). 2021;14:144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105. Saber S, Hasan AM, Mohammed OA, et al. Ganetespib (STA‐9090) augments sorafenib efficacy via necroptosis induction in hepatocellular carcinoma: implications from preclinical data for a novel therapeutic approach. Biomed Pharmacother. 2023;164:114918. [DOI] [PubMed] [Google Scholar]
  • 106. Chappell JC, Payne LB, Rathmell WK. Hypoxia, angiogenesis, and metabolism in the hereditary kidney cancers. J Clin Invest. 2019;129:442‐451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107. Wang JC, Li GY, Li PP, et al. Suppression of hypoxia‐induced excessive angiogenesis by metformin via elevating tumor blood perfusion. Oncotarget. 2017;8:73892‐73904. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108. Jansen L, Weberpals J, Kuiper JG, et al. Pre‐ and post‐diagnostic beta‐blocker use and prognosis after colorectal cancer: results from a population‐based study. Int J Cancer. 2017;141:62‐71. [DOI] [PubMed] [Google Scholar]
  • 109. Sørensen GV, Ganz PA, Cole SW, et al. Use of β‐blockers, angiotensin‐converting enzyme inhibitors, angiotensin II receptor blockers, and risk of breast cancer recurrence: a Danish nationwide prospective cohort study. J Clin Oncol. 2013;31:2265‐2272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110. Zhou H‐M, Zhang J‐G, Zhang X, Li Q. Targeting cancer stem cells for reversing therapy resistance: mechanism, signaling, and prospective agents. Signal Transduct Target Ther. 2021;6:62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111. Banerjee J, Papu John AM, Schuller HM. Regulation of nonsmall‐cell lung cancer stem cell like cells by neurotransmitters and opioid peptides. Int J Cancer. 2015;137:2815‐2824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Singh S, Chellappan S. Lung cancer stem cells: molecular features and therapeutic targets. Mol Asp Med. 2014;39:50‐60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113. Zhang S, Wang Y, Mao JH, et al. Inhibition of CK2α down‐regulates hedgehog/Gli signaling leading to a reduction of a stem‐like side population in human lung cancer cells. PLoS One. 2012;7:e38996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114. Shao C, Sullivan JP, Girard L, et al. Essential role of aldehyde dehydrogenase 1A3 for the maintenance of non‐small cell lung cancer stem cells is associated with the STAT3 pathway. Clin Cancer Res. 2014;20:4154‐4166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115. Hassan KA, Wang L, Korkaya H, et al. Notch pathway activity identifies cells with cancer stem cell‐like properties and correlates with worse survival in lung adenocarcinoma. Clin Cancer Res. 2013;19:1972‐1980. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116. Koh M, Takahashi T, Kurokawa Y, et al. Propranolol suppresses gastric cancer cell growth by regulating proliferation and apoptosis. Gastric Cancer. 2021;24:1037‐1049. [DOI] [PubMed] [Google Scholar]
  • 117. Kavakcıoğlu Yardımcı B, Geyikoglu F, Aysin F, Koc K, Simsek Ozek N, Küçükatay V. The cytotoxic and apoptotic effects of beta‐blockers with different selectivity on cancerous and healthy lung cell lines. Mol Biol Rep. 2021;48:4009‐4019. [DOI] [PubMed] [Google Scholar]
  • 118. Jan R, Chaudhry GE. Understanding apoptosis and apoptotic pathways targeted cancer therapeutics. Adv Pharm Bull. 2019;9:205‐218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119. Balaji S, Terrero D, Tiwari AK, Ashby CR Jr, Raman D. Alternative approaches to overcome chemoresistance to apoptosis in cancer. Adv Protein Chem Struct Biol. 2021;126:91‐122. [DOI] [PubMed] [Google Scholar]
  • 120. Igney FH, Krammer PH. Death and anti‐death: tumour resistance to apoptosis. Nat Rev Cancer. 2002;2:277‐288. [DOI] [PubMed] [Google Scholar]

Associated Data

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Data Availability Statement

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.


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