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Translational Oncology logoLink to Translational Oncology
. 2026 Oct 16;74:103073. doi: 10.1016/j.tranon.2026.103073

The CARM1–YIPF2 axis drives breast cancer progression and predicts poor prognosis

Xitao Gao a,b,c,1, Shuchang Zhang d,1, Wei Peng d,⁎⁎, Kun Xu e,⁎
PMCID: PMC13694858  PMID: 42887062

Highlights

  • •

    CARM1 is upregulated in breast cancer and predicts poor prognosis.

  • •

    CARM1 knockdown inhibits breast cancer growth and metastasis.

  • •

    YIPF2 mediates the tumor-promoting effects of CARM1.

  • •

    Targeting the CARM1–YIPF2 axis may offer a therapeutic strategy for breast cancer.

Keywords: CARM1, Breast cancer, YIPF2, Cell proliferation, Cell migration

Abstract

Objective

To investigate the roles of CARM1 and its regulatory effect on YIPF2 in breast cancer progression.

Methods

Breast cancer cells were transfected with CARM1 siRNA to knock down CARM1 expression. Cell proliferation, apoptosis, migration, and invasion were assessed using EdU, CCK-8, Annexin V/PI flow cytometry, wound-healing, and transwell assays, respectively. Co-expression of CARM1 and YIPF2 was evaluated using the GEPIA database and validated by qRT-PCR. Co-immunoprecipitation (Co-IP) was performed to assess the association between CARM1 and YIPF2, and asymmetric dimethylarginine (ADMA) signals in YIPF2 immunoprecipitates were assessed. Rescue experiments were performed following YIPF2 overexpression. In vivo studies were conducted to examine the anti-tumor effects of CARM1 inhibition.

Results

We found that CARM1 was upregulated in breast cancer patients and cell lines. Higher CARM1 expression was associated with poorer survival. CARM1 knockdown inhibited proliferation, colony formation, migration, and invasion of breast cancer cells, and induced apoptosis. The correlation analysis indicated that CARM1 and YIPF2 were positively co-expressed. Co-IP experiments supported an association between CARM1 and YIPF2. CARM1 knockdown reduced the ADMA signal in YIPF2 immunoprecipitates, consistent with CARM1-dependent YIPF2 methylation. In addition, elevated YIPF2 predicted worse survival outcomes in breast cancer patients. Overexpression of YIPF2 partially rescued the suppression of tumor progression induced by CARM1 knockdown. Finally, tumors derived from sh-CARM1 cells were markedly smaller than those from control cells.

Conclusion

Collectively, our findings support a role for CARM1 in breast cancer progression and provide evidence of its association with YIPF2 and CARM1-dependent YIPF2 methylation, offering insights into the CARM1–YIPF2 regulatory axis and potential therapeutic strategies.


Abbreviations

AREG

Amphiregulin

ATCC

American Type Culture Collection

BRCA

Breast cancer

CARM1

Coactivator-associated arginine methyltransferase 1

ERBB4

Epidermal growth factor receptor-4

HDI

Human Development Index

IFN

Type 1 interferon response

IHC

Immunohistochemistry

PTEN

Phosphatase and tensin homolog

PIK3CA

Phosphatidylinositol 3-phosphate kinase

RLE

Relative Log Expression

TNBC

Triple-negative breast cancer

TGN

Trans-Golgi network

TNFRSF10B

TNF Receptor superfamily member 10B

TCGA

The Cancer Genome Atlas

YIP

Yip domain family

ADMA

Asymmetric dimethylarginine

Co-IP

Co-immunoprecipitation

EMEM

Eagle's minimum essential medium

RPMI

Roswell Park Memorial Institute medium

PI

Propidium iodide

Introduction

Breast cancer (BRCA) is one of the most prevalent malignant cancers in women, and has raised significant attention in the young population [1]. Studies show that the incidence of BRCA in young women (<50 years old) is steeply increasing with a 1.4% annual rise versus that of older women (0.7%) [2]. According to the Human Development Index (HDI), there will be over 3 million new cases and 1 million deaths every year by 2040 [3]. There are several different forms of BRCA, commonly including Luminal A, Luminal B, HER2+, and triple-negative breast cancer (TNBC) [4]. Recently, the basal types with differentially expressed genes have been identified, such as epidermal growth factor receptor-4 (ERBB4)+Amphiregulin (AREG)+ Luminal A cells, TP53, and phosphatidylinositol 3-phosphate kinase (PIK3CA)/ Phosphatase and tensin homolog (PTEN) mutation TNBC [5]. Because of the complex heterogeneity, this disease presents a big challenge in its diagnostic and therapeutic management [6]. Therefore, uncovering the critical molecular mechanism and therapeutic target is essential for addressing this challenge.

Coactivator-associated arginine methyltransferase 1 (CARM1) is a member of the arginine methyltransferase family. Its amplification has been linked to poor prognosis in multiple cancers, including hepatocellular carcinoma [7], clear cell renal cancer [8], and colon cancer [9]. CARM1 functions as a transcriptional co-activator and negatively regulates p53, thereby promoting cell proliferation [10]. It has also emerged as an attractive therapeutic target due to its involvement in chemoresistance, for example through β-catenin [11], and in immune responses mediated by type I interferon (IFN) [12]. The roles of CARM1 have been most extensively investigated in ER-positive breast cancer, where it promotes tumor progression and metastasis. However, the regulatory functions of CARM1 in TNBC and breast ductal cancer require further investigation.

YIPF2 is a member of the YIP domain family (YIP), which serves as a transporter in the trans-Golgi network (TGN) to maintain genome integrity [13]. To date, only two studies have examined the roles of YIPF2 in cancers. One study showed that YIPF2 promotes apoptosis in lung cancer via recycling of tumor necrosis factor receptor superfamily member 10B (TNFRSF10B) [14]. The other reported that YIPF2 binds to CD147 to enhance the malignancy of liver cancer [15]. None of these studies have addressed whether YIPF2 affects breast cancer progression.

In this study, we assessed the prognostic significance of CARM1 and its regulatory effect on YIPF2 during BRCA progression. Notably, we found that CARM1 promoted BRCA cell growth, migration, and invasion, and that CARM1 co-expressed with YIPF2 to further enhance BRCA malignancy. These results identified two potential prognostic biomarkers for BRCA and provided promising therapeutic target candidates.

Material and methods

Cells and incubation conditions

In this study, four human breast cancer cell lines: MCF-7, MDA-MB-231, T47D, and BT-549 and one human normal breast cell line, MCF-10A, were obtained from the American Type Culture Collection (ATCC). All cell lines were cultured strictly according to ATCC-recommended protocols. Specifically, MCF-10A cells were maintained in DMEM/F12 supplemented with 5% horse serum, 20 ng/mL epidermal growth factor, 0.5 μg/mL hydrocortisone, 10 μg/mL insulin, and 100 ng/mL cholera toxin. MCF-7 cells were cultured in Eagle’s Minimum Essential Medium (EMEM) supplemented with 10% FBS and 0.01 mg/mL human recombinant insulin. MDA-MB-231 cells were maintained in Leibovitz’s L-15 medium supplemented with 10% FBS at 37 °C in a free gas exchange with atmospheric air. T47D cells were cultured in RPMI-1640 medium supplemented with 10% FBS and 0.2 U/mL bovine insulin (I6634, Sigma-Aldrich, USA). BT-549 cells were maintained in RPMI-1640 medium supplemented with 10% FBS and 0.023 IU/mL bovine insulin. Unless otherwise specified, cells were incubated at 37 °C in a humidified atmosphere containing 5% CO₂. All media contained 1% penicillin/streptomycin.

Small interfering RNA (siRNA) and plasmid construction and transfection

CARM1 pre-designed siRNA (cat. No: HY-RS01926) was purchased from MCE Co., Ltd. (Shanghai, China). The YIPF2 overexpression plasmid (HG27094-CH) was obtained from Sino Biological Inc. (Beijing, China). Transfection was performed using the indicated complexation components: lipofectamine 3000 (L3000150, Invitrogen, USA), Opti-MEM (31,985,070, Gibco, USA), and siRNA (75 pmol) in 6-well plates, or plasmid DNA (0.25 μg) in 24-well plates. After 6 h of incubation, the cells were continuously cultured for 48 h at 5% CO2 and 37 °C in complete DMEM.

CCK8 assay

To assess cell viability, 5000 cells were seeded into 96-well plates and cultured for 48 h. Then, 10 μL of CCK-8 reagent (GK10001, GlpBio, USA) was added and the cells were incubated for an additional 1 h. Absorbance (OD) was measured at 450 nm using a microplate reader (BioTek, Epoch 2).

5-Ethynyl-2′-deoxyuridine (EdU) assay

EdU detection was performed using the EdU Detection Kit (Abbkine, Wuhan, China). Cells were incubated with 10 μM EdU for 2 h under optimal conditions. Cells were then fixed with 4% neutral paraformaldehyde at room temperature for 15 min. After fixation, cells were permeabilized with PBS containing 0.5% Triton X-100 for 15 min, followed by three washes with washing buffer. The prepared Click-iT reaction mixture was added and incubated with cells in the dark for 30 min, followed by three washes with washing buffer. Cell nuclei were stained with 1× Hoechst 33,342 and visualized under a microscope.

qPCR

Total RNA from different groups was extracted using TRIzol reagent (12,183,555, Invitrogen, USA) according to the manufacturer’s protocol. Next, cDNA was synthesized using the QuantiTect Reverse Transcription Kit (205,311, QIAGEN, Germany) and amplified using the QuantiNOVA SYBR Green PCR Kit (208,052, QIAGEN, Germany) on the Sequence Detection System (ABI Q7 pro, Applied Biosystems). PCR cycling conditions were as follows: denaturation at 95 °C for 15 s, annealing at 60 °C for 10 s, and extension at 72 °C for 40 s, for a total of 40 cycles depending on the target genes. Primer sequences are listed below: CARM1 forward: 5′-TTCCAGTCACCACTGTTCGCCA-3′; reverse: 5′-CCAGGAGGTTACTGGACTTGGA-3′; β-actin forward: 5′-ATCATGTTTGAGACCTTCAACA-3′; reverse: 5′-CATCTCTT GCTCGAAGTCCA-3′. Relative expression levels were calculated using the 2^-ΔΔCT method.

Wound healing assay

For wound healing migration assays, 6×105 cells were seeded into each well of a 6-well plate and allowed to attach for 24 h. A 200 μl pipette tip was then used to scratch a straight line across the cell monolayer. After gently washing with PBS, the wound closure percentages of different groups were quantified at 0, 24, and 48 h using a microscope. Migration ability was analyzed with ImageJ software.

Transwell assays

MDA-MB-231 and BT549 cells (5×105 cells) were serum-starved for 24 h and then seeded into the upper chamber of a transwell system in a 24-well plate. The lower chamber was filled with 500 μl complete medium containing 10% FBS. For migration assays, cells were incubated at 37 °C with 5% CO2 for 48 h. Migrated cells were fixed with 4% paraformaldehyde for 15 min, stained with 0.1% crystal violet for 10 min, and then photographed and counted under a microscope. For invasion assays, the upper chamber was pre-coated with Matrigel matrix gel (354,248, BD Biosciences, USA). After 48 h of incubation, cells that did not pass through the membrane were removed using cotton swabs. Invaded cells on the lower membrane surface were fixed, stained, photographed, and quantified under a microscope to assess the number of cells that penetrated the membrane.

Western blot

Total protein was extracted from each sample using RIPA lysis buffer (GK10023, GLPBIO, USA) supplemented with Phosphatase Inhibitor Cocktail II (GK10012, GLPBIO, USA). Protein concentration was measured using the BCA Protein Assay Kit (GK10009, GLPBIO, USA). Proteins were separated by SDS-PAGE (BL522A, Biosharp, China) and transferred onto PVDF membranes (0.45 μm, IPVH00010, Millipore, USA). Membranes were blocked with SuperBlock buffer for 10 min (37,515, Thermo Scientific, USA). The membranes were incubated overnight at 4 °C with the following primary antibodies: CARM1 (1:2000, ab245467, Abcam, USA), CDK4 (1:1000, ab68266, Abcam, UK), CDK6 (1:1000, ab151247, Abcam, UK), CCND1 (1:1000, 33–3500, Invitrogen, USA), BAX (1:1000, ab32503, Abcam, UK), cleaved caspase-3 (1:1000, abs132005, Absin, China), YIPF2 (1:1000, HPA019902, MERCK, Germany) and GAPDH (1:5000, ab8245, Abcam, UK), followed by three washes with TBST. Specific secondary antibodies (mouse or rabbit, 1:2000, ab97023/ab288151, Abcam, UK) were incubated at room temperature for 1 h. Bands were visualized using an Ultra High Sensitivity ECL Kit (GK10008, GLPBIO, USA), imaged with a Tanon-5200 system (Tanon Science & Technology, China), and quantified for protein expression using ImageJ software.

Immunohistochemistry (IHC) staining

All fresh tumor tissues were fixed in 4% formaldehyde, embedded in paraffin, and sectioned into 4 μm slices. Sections were deparaffinized with xylene and rehydrated through a graded ethanol series. Antigen retrieval was performed by incubating sections in sodium citrate buffer (10 mM sodium citrate and 0.05% Tween 20, pH 6.0) in a steam oven. Endogenous peroxidase activity was blocked using 0.3% H2O2. Routine blocking was performed with 5% FBS in PBS for 1 h at room temperature. Sections were incubated with primary antibodies against Ki67 (1:200, MA5–14,520, Invitrogen, USA) or CARM1 (1:1500, ab245467, Abcam, USA) for 1 h at 4 °C. After that, the sections were incubated with HRP-conjugated secondary antibodies and developed using an IHC Colorimetric kit (8800–6599–45, eBioscience, USA).

Flow cytometry apoptosis assay

Apoptosis was detected using an Annexin V-FITC/PI Apoptosis Detection Kit (BD Biosciences, USA) according to the manufacturer’s instructions. Briefly, cells were harvested 48 h after transfection, washed twice with cold PBS, and resuspended in 1× binding buffer at a density of 1×10⁶ cells/mL. A 100 μL aliquot of cell suspension was incubated with 5 μL Annexin V-FITC and 5 μL PI in the dark at room temperature for 15 min. After adding 400 μL of binding buffer, cells were analyzed within 1 h using a flow cytometer (BD FACSCanto II, BD Biosciences, USA). Data were analyzed using FlowJo software (Tree Star, USA).

Co-immunoprecipitation (Co-IP)

Cells were lysed in IP lysis buffer (87,787, Thermo Scientific, USA) supplemented with protease inhibitor cocktail on ice for 30 min. The lysate was centrifuged at 12,000 × g for 15 min at 4 °C, and the supernatant was collected. For immunoprecipitation, 500 μg of total protein was incubated with 2 μg of anti-CARM1 (ab245467, Abcam, USA), anti-YIPF2 (HPA019902, MERCK, Germany), or normal IgG (negative control) antibody overnight at 4 °C with gentle rotation. Protein A/G magnetic beads (88,802, Thermo Scientific, USA) were added and incubated for an additional 2 h at 4 °C. The beads were washed three times with IP lysis buffer, and bound proteins were eluted with 2× SDS loading buffer at 95 °C for 5 min. The immunoprecipitated proteins were analyzed by Western blotting as described above. For ADMA modification detection, immunoprecipitation was performed with anti-YIPF2 antibody, followed by Western blotting with anti-asymmetric dimethylarginine (ADMA) antibody (13,522, Cell Signaling Technology, USA).

Subcutaneous tumor models

All animal experiments were conducted under a protocol approved by the Institutional Animal Care and Use Committee of Nanjing Medical University. Mice were anesthetized by inhalation of 3% isoflurane. Negative control shRNA or sh-CARM1-transfected BT549 cells (2×106) were subcutaneously injected into BALB/c nude mice (female, 6–8 weeks old, n=3). To evaluate the anti-tumor effect of CARM1 knockdown, tumor volume was measured every three days and calculated as 1/2 × length × width2 (mm3). After 28 days, mice were euthanized by cervical dislocation, and tumor tissues were collected and photographed. Tumor tissues from different groups were then processed for further histopathological staining.

Database screening

CARM1 or YIPF2 expression in patients was obtained from the Cancer Genome Atlas (TCGA) database (https://cancergenome.nih.gov/) [16]. The prognostic value of CARM1 or YIPF2 in BRCA patients was analyzed using the Kaplan–Meier Plotter database (http://kmplot.com/analysis/) [17]. The association between CARM1 and YIPF2 was determined using the GEPIA database (http://gepia2.cancer-pku.cn/#analysis) [18].

Statistical analysis

All experiments were performed in triplicate. Data are presented as the mean ± SEM and analyzed using GraphPad Prism 10.0 software (GraphPad Software, San Diego, CA). Statistical differences between groups were assessed using Student’s t-test or one-way ANOVA. P < 0.05 was considered statistically significant. For Kaplan–Meier survival analysis, patients were stratified into high- and low-expression groups using the median expression value as the cutoff threshold. The log-rank test was used to compare survival curves between groups.

Results

Overexpression of CARM1 is associated with poor survival outcomes in BRCA

In this study, we performed a comparative analysis to investigate the clinical relevance of CARM1. Specifically, we screened RNA-seq datasets from the TCGA database to assess CARM1 expression and conducted Kaplan–Meier survival analyses to correlate CARM1 expression with overall survival in BRCA patients. The results showed that CARM1 was significantly upregulated in breast tumor tissues compared with normal tissues (Fig. 1 A). Patients were stratified into high-expression (n = 552) and low-expression (n = 552) groups using the median CARM1 expression value (−0.1544, log₂ [RSEM normalized count + 1]) as the cutoff. Patients with higher CARM1 expression had significantly shorter survival than those with low CARM1 expression (P = 0.0024) (Fig. 1 B). The association between CARM1 expression and clinicopathological characteristics, including breast cancer molecular subtypes, is summarized in Table S1 and Figure S1A. Notably, even patients in the low-expression group exhibited significantly higher CARM1 levels compared with normal breast epithelium, indicating that CARM1 is broadly upregulated across breast tumors regardless of relative expression level. In breast cancer cell lines, MDA-MB-231 and BT-549 exhibited markedly increased CARM1 expression at both the mRNA and protein levels compared with the normal breast cell line MCF-10A (Fig. 1 C–D). Collectively, these TCGA data and our cohort suggest that CARM1 is overexpressed in BRCA tissues and cell lines and is associated with adverse malignant clinical outcomes in BRCA.

Fig. 1.

Fig. 1

The upregulation of CARM1 predicts poor clinical outcomes in BRCA. A. The expression of CARM1 in BRCA tumor tissues and normal tissues from the TCGA database. B. Kaplan–Meier analysis of survival according to CARM1 expression. Patients were stratified by the median expression value; the number of patients per group is indicated. C. qRT-PCR analysis of CARM1 mRNA levels in normal breast cells (MCF-10A) and cancer cell lines (MCF-7, MDA-MB-231, T47D, BT-549). D. Western blotting was used to assess CARM1 protein levels. β-actin served as a loading control. Data are presented as the mean±SEM from three independent biological replicates. **P < 0.01 vs the low-expression group; ***P < 0.001, ****P < 0.0001 vs the expression in MCF-10A cells.

Silencing CARM1 inhibits BRCA cell proliferation, migration, and invasion

Next, we evaluated the oncogenic role of CARM1 in BRCA by transfecting MDA-MB-231 and BT-549 cells with CARM1 siRNA and confirming transfection efficiency by Western blot (Fig. 2 A). CARM1 knockdown strongly suppressed cell proliferation in MDA-MB-231 and BT-549 cells (Fig. 2B). Moreover, colony formation ability was significantly reduced in CARM1-knockdown cells compared with control cells (Fig. 2C). We further found that CARM1 knockdown markedly impaired the migration of BRCA cells (Fig. 2D). Consistently, knockdown of CARM1 significantly inhibited cell invasion (Fig. 2E). Taken together, these findings indicate that CARM1 promotes BRCA cell proliferation, migration, and invasion.To further validate the oncogenic role of CARM1, we performed gain-of-function experiments by overexpressing CARM1 in MCF-7 and T47D cells, which exhibited relatively lower endogenous CARM1 expression. CCK-8 assays demonstrated that CARM1 overexpression significantly promoted cell proliferation in both cell lines compared with control groups (Figure S2A), confirming that CARM1 functions as a tumor promoter in breast cancer.

Fig. 2.

Fig. 2

Knockdown of CARM1 suppresses BRCA cell proliferation, colony formation, migration, and invasion. MDA-MB-231 and BT-549 cells were transfected with CARM1 siRNA for 48 h. A. Transfection efficiency was evaluated by Western blotting and quantified by relative expression. B. Colony formation assay was performed to assess proliferative capacity. C. QRT-PCR was used to measure CARM1 mRNA expression. D. Cell migration was assessed by a wound-healing assay. Scale bar = 500 μm. E. Cell invasion was evaluated using a transwell assay. Scale bar = 200 μm. β-actin served as a loading control. Data are presented as the mean±SEM. ⁎⁎P < 0.01 vs the low-expression group; ⁎⁎⁎P < 0.001, ⁎⁎⁎⁎P < 0.0001 vs the expression in MCF-10A cells.

Silencing CARM1 suppresses proliferation by inducing apoptosis and cell cycle arrest

To investigate the mechanism by which CARM1 regulates proliferation, we performed EdU staining assays. CARM1 knockdown significantly reduced the proliferation rate in both MDA-MB-231 and BT-549 cell lines (Fig. 3A). Consistently, pro-apoptotic proteins BAX and cleaved caspase-3 were increased in CARM1-knockdown cells (Fig. 3B). In addition, the expression of cell cycle-related proteins CDK4, CDK6, and CCND1 was suppressed following CARM1 knockdown compared with control cells (Fig. 3B). These results suggest that CARM1 contributes to the regulation of the cell cycle, proliferation, and apoptosis processes. To further corroborate the apoptotic effects of CARM1 knockdown, Annexin V/PI flow cytometry was performed. The results showed that CARM1 silencing significantly increased the apoptosis rate in both MDA-MB-231 and BT-549 cells compared with control groups (Figure S2B), consistent with the elevated expression of pro-apoptotic markers BAX and cleaved caspase-3.

Fig. 3.

Fig. 3

Silencing CARM1 suppresses proliferation by inducing apoptosis and cell-cycle arrest. MDA-MB-231 and BT-549 cells were transfected with CARM1 siRNA for 48 h. A. EdU assay was used to determine the effect of CARM1 knockdown on cell proliferation. Scale bar = 100 μm. B. Western blotting was used to examine the expression of apoptosis-related proteins (cleaved caspase-3 and BAX) and cell-cycle-related proteins (CDK4, CDK6, and CCND1). β-actin served as a loading control. Data are presented as the mean±SEM. *P < 0.05, ⁎⁎P < 0.01 ⁎⁎⁎P < 0.001, ⁎⁎⁎⁎P < 0.0001 vs the control groups.

Silencing CARM1 reduces YIPF2 expression

We next investigated the precise mechanisms by which knocking down CARM1-mediated BRCA inhibition occurs. First, the heatmap showed that CARM1 and YIPF2 were enriched in the same region, indicating that they may share similar functions (Fig. 4A). To confirm their relationship, MDA-MB-231 and BT549 cells were transfected with si-CARM1, and transfection efficiency was verified (Fig. 4B). Compared with control cells, siCARM1 significantly reduced YIPF2 protein levels in both cancer cell lines (Fig. 4C). According to the TCGA database, high expression of YIPF2 was observed in cases of BRCA tumor tissues, which was lower than in normal breast tissues (Fig. 4D). Patients with YIPF2 upregulation exhibited a shorter survival time, indicating a poorer prognosis compared with patients with low YIPF2 expression (P=0.0286) (Fig. 4E). Using the GEPIA database, we further analyzed the association between CARM1 and YIPF2, and the data revealed a positive co-expression of CARM1 and YIPF2 (P=1.43e-43). To further investigate the CARM1–YIPF2 relationship, we performed co-immunoprecipitation (Co-IP) experiments. Reciprocal Co-IP supported an association between CARM1 and YIPF2: CARM1 was detected in YIPF2 immunoprecipitates, and conversely, YIPF2 was detected in CARM1 immunoprecipitates (Figure S3A, S3B). Given the methyltransferase activity of CARM1, we examined whether CARM1 knockdown affected YIPF2-associated ADMA signals. Immunoprecipitation with anti-YIPF2 antibody followed by ADMA-specific Western blotting showed a reduced ADMA signal in CARM1-knockdown MDA-MB-231 cells compared with control cells (Figure S3C). These findings are consistent with CARM1-dependent YIPF2 methylation but do not establish direct enzymatic methylation of YIPF2 by CARM1.

Fig. 4.

Fig. 4

Relationship between CARM1 and YIPF2 expression in breast cancer. A. Heatmap showing the co-expression of CARM1 and YIPF2. B. Transfection efficiency was determined by qRT-PCR. C. Western blotting was used to assess YIPF2 expression following si-CARM1 transfection. D. TCGA analysis showed that YIPF2 expression is elevated in tumor tissues compared with normal breast tissues. E. Kaplan-Meier analysis of survival according to YIPF2 expression. F. Positive correlation between CARM1 and YIPF2 in the GEPIA database. β-actin served as a loading control. Data are presented as the mean±SEM. *P < 0.05, ⁎⁎P < 0.01, ⁎⁎⁎P < 0.001, ⁎⁎⁎⁎P < 0.0001 vs the control groups, normal tissues, or high YIPF2 expression.

CARM1 promotes BRCA progression via YIPF2

To further examine the functional relationship between CARM1 and YIPF2 during BRCA tumorigenesis, we transfected MDA-MB-231 and BT549 cells with si-CARM1 together with a YIPF2 overexpression plasmid (OE-YIPF2), and assessed cell proliferation, migration, and invasion. The results showed that the inhibitory effect of si-CARM1 on cell viability was reversed by YIPF2 overexpression; specifically, the OD value in the si-CARM1+OE-YIPF2 group was restored to the control level (Fig. 5A). Consistent with the CCK-8 assay, si-CARM1 suppressed colony formation, whereas OE-YIPF2 increased the number of colonies in both cell lines. These findings suggest that CARM1 knockdown inhibits cell proliferation by suppressing YIPF2 (Fig. 5B). Wound-healing and transwell assays were performed to determine whether the regulatory effects of CARM1 on metastatic capabilities were mediated by YIPF2. As shown in Fig. 5C, OE-YIPF2 significantly increased the number of invaded cells, while si-CARM1 partially inhibited cell movement to the lower chamber. After 48 h, si-CARM1-transfected cells migrated slowly, whereas OE-YIPF2-transfected cells migrated faster and almost completely covered the wound gap. In the combined group, the wound gap was partially recovered by OE-YIPF2 transfection (Fig. 5D). Taken together, YIPF2 overexpression partially attenuated the suppressive effects of CARM1 knockdown on cell proliferation, migration, and invasion.

Fig. 5.

Fig. 5

Overexpression of YIPF2 partially rescues the inhibition of tumor cell proliferation, migration, and invasion caused by CARM1 knockdown. MDA-MB-231 and BT-549 cells were transfected with si-CARM1, OE-YIPF2, or a negative control for 48 h. A. Cell viability was assessed by a CCK8 assay. B. Colony formation assay was performed, and colony numbers were quantified. C. Transwell assay was used to evaluate invasiveness. Scale bar = 200 μm. D. Wound-healing assay was performed to assess migration capacity. Scale bar = 500 μm. Data are presented as the mean±SEM. NS, P>0.05, *P < 0.05, ⁎⁎P < 0.01 ⁎⁎⁎P < 0.001, ⁎⁎⁎⁎P < 0.0001 vs the control groups.

Additionally, we investigated the roles of CARM1 and YIPF2 in cell proliferation using EdU staining assays. Cells were stained with EdU reagent. The results showed a significantly reduced proliferation rate in the si-CARM1 group. Compared with the si-CARM1 group, cells transfected with OE-YIPF2 exhibited the highest proliferation rate; this effect was reversed by CARM1 knockdown (Fig. 6A). Western blotting further revealed that, in the YIPF2 overexpression group, the expression of pro-apoptotic markers BAX and cleaved caspase-3 was decreased, while cell cycle markers CDK4, CDK6, and CCND1 were increased. Moreover, YIPF2 overexpression also reduced the effects of CARM1 knockdown on apoptosis- and cell cycle-related proteins (Fig. 6B). Consistent with these findings, Annexin V/PI flow cytometry analysis confirmed that YIPF2 overexpression partially reversed the CARM1 knockdown-induced increase in apoptosis rate (Figure S4A).

Fig. 6.

Fig. 6

Overexpression of YIPF2 partially rescues CARM1 knockdown–induced apoptosis and cell-cycle alterations, and CARM1 knockdown suppresses breast cancer growth in vivo. MDA-MB-231 and BT-549 cells were transfected with si-CARM1, OE-YIPF2, or the corresponding negative control for 48 h. A. Cell proliferation was assessed by EdU assay. Scale bar = 100 μm. B. Apoptosis- and cell-cycle-related markers, including BAX, cleaved caspase 3, CDK4, CDK6, and CCND1, were detected by Western blotting; β-actin served as the loading control. C, D. BT-549 cells were transfected with sh-CARM1 or a negative control and injected subcutaneously into BALB/c nude mice to establish tumors. C. Tumor size was measured every 3 days and tumor volume was calculated; tumors were harvested and photographed after 28 days. D. IHC staining was performed to quantify Ki-67- and CARM1-positive cells. Scale bar = 50 μm. Data are presented as the mean ± SEM. NS, P > 0.05; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001 vs the control groups.

Knocking down CARM1 inhibits BRCA growth

In agreement with the in vitro findings, we established a subcutaneous tumor model using breast cancer BT-549/CARM1-deficient cells. Xenografted mice injected with BT-549/CARM1-deficient cells exhibited a marked reduction in tumor growth (Fig. 6C). The number of Ki-67- and CARM1-positive cells was significantly decreased in the sh-CARM1 group (Fig. 6D), suggesting that CARM1 downregulation suppresses tumor growth in breast cancer cells.

Discussion

CARM1, also known as PRMT4, belongs to the protein arginine methyltransferase (PRMT) family. The PRMT family comprises nine PRMT proteins (PRMT1–9) [19], which are essential for increasing proteome diversity and maintaining cellular homeostasis by mediating post-translational modifications of target genes [20]. When this process is dysregulated, cancer can develop [21]. PRMTs can be broadly categorized into three major types: Type I enzymes deposit asymmetric dimethylarginine (aDMA) marks, such as PRMT1 and CARM1. Type II enzymes produce symmetric dimethylarginine (sDMA), with PRMT5 being the most prominent member. Type III consists of only PRMT7, which generates monomethylarginine (MMA) [22]. Early studies identified the transcriptional co-activators of PRMT1 and CARM1 in gene regulation processes [23,24]. More recently, accumulating evidence has shown that PRMTs are frequently dysregulated in cancers and contribute to tumorigenesis and progression—particularly cell proliferation, apoptosis, metastasis, and drug resistance—by modulating the methylation of histones, transcription factors, or other proteins [25]. Among type I PRMTs, PRMT1 has attracted significant attention in cancer research. PRMT1 participates in cell cycle regulation and DNA damage repair pathways in renal cancer [26]. In lung cancer, PRMT1 promotes epithelial–mesenchymal transition (EMT) and chemoresistance through the p120-catenin pathway [27]. PRMT1 is also highly expressed in pancreatic cancer and promotes tumor growth [28]. In breast cancer, PRMT1 functions as a tumor promoter by regulating multiple genes, including p53, EZH2, DDX3, EGFR, ZEB1, and Wnt [[29], [30], [31], [32], [33]]. As noted above, CARM1 is a co-activator of PRMT1, and several studies have reported its roles in cancer. For example, CARM1 transcriptionally reprograms fatty acid metabolism in ovarian cancer cells [34]. In colon cancer, inhibition of CARM1 facilitates ferroptosis via ACSL4 [35]. Although high CARM1 expression has been reported in TNBC, we remain interested in its regulatory role in BRCA.

In our study, in vitro experiments also confirmed enhanced CARM1 expression in breast cancer cells. Therefore, we knocked down CARM1 using siRNA to investigate tumorigenic processes, including cell viability, migration, invasion, apoptosis, and cell cycle progression. In vivo, si-CARM1 suppressed BRCA tumor growth as well. Overall, these findings revealed that CARM1 knockdown inhibits BRCA progression.

Generally, YIPF proteins (YIPF1–7) maintain the morphology of the Golgi apparatus [36] and are involved in signal transduction, transport, and protein trafficking [37]. Recent studies have indicated roles of YIPF2 in cancer progression, mainly through regulating cell proliferation, migration, invasion, and chemoresistance by interacting with other proteins, such as TNFRSF10B or CD147 [14,15]. However, the precise molecular mechanism of YIPF2 in BRCA remains unclear. Therefore, we investigated the prognostic value of YIPF2 and its association with CARM1 in BRCA development.

Next, we measured YIPF2 expression levels in BRCA patients and evaluated their association with survival outcomes. As expected, higher YIPF2 levels were associated with worse outcomes compared with the low-expression group. We then screened the GEPIA database and found a positive co-expression pattern between YIPF2 and CARM1. Cellular experiments demonstrated that YIPF2 could be inhibited by CARM1 siRNA, and this regulatory effect was observed in cell proliferation, migration, invasion, apoptosis, and cell cycle processes.

Our reciprocal Co-IP experiments support an association between CARM1 and YIPF2, extending the evidence beyond their co-expression correlation. Co-IP does not distinguish direct binding from an association mediated by other components of a protein complex. As a Type I PRMT, CARM1 catalyzes asymmetric dimethylarginine (ADMA) modifications on target proteins, which can affect protein stability, protein–protein interactions, and transcriptional activity [19,22]. The reduced ADMA signal in YIPF2 immunoprecipitates following CARM1 knockdown is consistent with CARM1-dependent YIPF2 methylation. However, these experiments do not establish YIPF2 as a direct enzymatic substrate of CARM1 or demonstrate that methylation mediates the changes in YIPF2 expression or the observed cellular phenotypes. Additionally, the observed reduction in cell cycle-related proteins (CDK4, CDK6, and CCND1) upon CARM1 knockdown is concordant with the phenotypic evidence of proliferation inhibition demonstrated by EdU, CCK-8, and colony formation assays, further supporting the role of these proteins as reliable markers of CARM1-driven cell cycle progression in breast cancer.

Although our findings support CARM1–YIPF2 co-expression, their association in cellular lysates, and CARM1-dependent YIPF2 methylation, several limitations remain. First, the cooperation between CARM1 and YIPF2 was identified in only one database, which may provide insufficient evidence. Second, although we utilized two independent siRNAs targeting CARM1 that produced consistent phenotypic effects—supporting the specificity of our observations-the reliance on transient siRNA-mediated knockdown and plasmid-based overexpression carries inherent limitations, including variable transfection efficiency across individual cells. Future studies employing CRISPR-based knockout or inducible expression systems would further strengthen the rigor and reproducibility of these conclusions. Third, a lower molecular weight band was occasionally observed in YIPF2 Western blots; based on consultation with the antibody manufacturer, this band likely represents non-specific binding or partial protein degradation, though its biological significance warrants further investigation. Fourth, the present Co-IP and cellular ADMA assays do not establish direct binding or direct enzymatic methylation of YIPF2 by CARM1, and indirect effects cannot be excluded. Purified-protein binding assays, in vitro methylation assays with appropriate catalytic-mutant controls, and methylation-site identification would help resolve these mechanisms. Changes in YIPF2 abundance may also contribute to the ADMA signal measured after CARM1 knockdown. Therefore, the mechanisms by which YIPF2 contributes to BRCA require further investigation.

Conclusion

In summary, we identified and provided evidence that CARM1 promotes BRCA progression, which is closely associated with increased YIPF2. Our findings further support an association between CARM1 and YIPF2 and are consistent with CARM1-dependent YIPF2 methylation, providing insight into the CARM1–YIPF2 regulatory axis. These results offer new insights and directions for developing novel clinical therapeutic targets and related drugs.

Funding

This work was supported by the National Natural Science Foundation of China (No.82403574 to K.X.), the China Postdoctoral Science Foundation (No.2023M741470 to K.X.), Jiangsu Association for Science & Technology Youth Science & Technology Talents Lifting Project (No.JSTJ-2024-386 to K.X.), and the Research Project of Jiangsu Cancer Hospital (No.ZJ202301 and No.SZL202301 to K.X.).

CRediT authorship contribution statement

Xitao Gao: Writing – review & editing, Writing – original draft, Validation, Methodology, Data curation. Shuchang Zhang: Writing – review & editing, Writing – original draft, Validation, Methodology, Data curation. Wei Peng: Writing – review & editing, Writing – original draft, Methodology, Conceptualization. Kun Xu: Writing – review & editing, Writing – original draft, Methodology, Funding acquisition, Conceptualization.

Declaration of competing interest

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Kun Xu reports financial support was provided by National Natural Science Foundation of China (No.82403574). If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Footnotes

Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.tranon.2026.103073.

Contributor Information

Wei Peng, Email: andyking714@163.com.

Kun Xu, Email: njmuxukun@126.com.

Appendix. Supplementary materials

mmc1.docx (328.7KB, docx)
mmc2.docx (30.8KB, docx)

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Supplementary Materials

mmc1.docx (328.7KB, docx)
mmc2.docx (30.8KB, docx)

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