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. 2013 Jul;27(7):2788–2798. doi: 10.1096/fj.13-228288

Passage-dependent cancerous transformation of human mesenchymal stem cells under carcinogenic hypoxia

Spencer W Crowder *,†, Linda W Horton ‡,‖, Sue Hyun Lee *, Colt M McClain §, Oriana E Hawkins ‡,‖, Amanda M Palmer *, Hojae Bae , Ann Richmond ‡,‖, Hak-Joon Sung *,†,¶,1
PMCID: PMC3688746  PMID: 23568779

Abstract

Bone marrow-derived human mesenchymal stem cells (hMSCs) either promote or inhibit cancer progression, depending on factors that heretofore have been undefined. Here we have utilized extreme hypoxia (0.5% O2) and concurrent treatment with metal carcinogen (nickel) to evaluate the passage-dependent response of hMSCs toward cancerous transformation. Effects of hypoxia and nickel treatment on hMSC proliferation, apoptosis, gene and protein expression, replicative senescence, reactive oxygen species (ROS), redox mechanisms, and in vivo tumor growth were analyzed. The behavior of late passage hMSCs in a carcinogenic hypoxia environment follows a profile similar to that of transformed cancer cells (i.e., increased expression of oncogenic proteins, decreased expression of tumor suppressor protein, increased proliferation, decreased apoptosis, and aberrant redox mechanisms), but this effect was not observed in earlier passage control cells. These events resulted in accumulated intracellular ROS in vitro and excessive proliferation in vivo. We suggest a mechanism by which carcinogenic hypoxia modulates the activity of three critical transcription factors (c-MYC, p53, and HIF1), resulting in accumulated ROS and causing hMSCs to undergo cancer-like behavioral changes. This is the first study to utilize carcinogenic hypoxia as an environmentally relevant experimental model for studying the age-dependent cancerous transformation of hMSCs.—Crowder, S. W., Horton, L. W., Lee, H. H., McClain, C. M., Hawkins, O. E., Palmer, A. M. Bae, H., Richmond, A., Sung, H.-J. Passage-dependent cancerous transformation of human mesenchymal stem cells under carcinogenic hypoxia.

Keywords: aging, reactive oxygen species, p53, experimental models


Bone marrow-derived human mesenchymal stem cells (hMSCs) are a promising cell source for regenerative medicine due to their autologous availability, self-renewal potential, and multipotency (1). Despite extensive clinical results supporting their safety and efficacy for therapeutic purposes (2), hMSCs are known to play a causative role in cancer by both promoting and inhibiting tumor growth and metastasis, depending on factors that remain undefined (3, 4). Although studies of spontaneous hMSC transformation in culture have been refuted (5–7), hMSCs have been implicated as the tumor-initiating cell-of-origin in certain types of sarcomas and may represent the elusive cancer stem cell (CSC) in these diseases (8). Interestingly, sarcomas of increasing malignancy are thought to be derived from early progenitor cells that display less lineage commitment, suggesting that naive hMSCs might be responsible for the formation of tumors with the highest degree of malignancy (8). Malignant transformation of hMSCs has been induced by oncogenic insults, such as retroviral transfection with human oncogenes, resulting in in vivo tumor formation (9–11). However, this transfection approach is nonphysiological and obfuscates a clear interpretation of how these events affect the contribution of hMSCs to tumor formation under physiological conditions. It is therefore of great importance to develop a physiologically relevant experimental model of transformation that can be used to elucidate the mechanisms that differentially regulate pathological changes in hMSCs, and to identify alterations in hMSC behavior that lead to enhanced susceptibility to transformation and cancer.

The risk of developing cancer generally increases with age, due in part to reduced control over cell cycle progression, ineffective DNA damage repair, and dysfunctional handling of oxidative stresses (12, 13). When expanded in vitro, hMSCs acquire senescence-associated abnormalities between passages 7 and 12; specifically, the genes involved with cell cycle regulation, DNA damage repair, and oxidative homeostasis become increasingly down-regulated. Accumulation of superoxide, a short-lived type of reactive oxygen species (ROS), is a hallmark of hMSC senescence (14, 15). Interestingly, many of the characteristics of in vitro senescence are also observed in hMSCs isolated from aging patients, suggesting that in vivo aging and in vitro cell senescence share inherent similarities (16, 17). Therefore, in vitro studies aimed at approximating the in vivo status of cancer susceptibility can be best recapitulated with higher passage hMSCs.

Hypoxia is a fundamental microenvironmental cue in both the healthy hMSC niche and malignant tumors. The bone marrow niche where hMSCs reside experiences hypoxic conditions of 1–7% O2 (18), whereas tumor hypoxia can be more extreme (<1% O2), including microregions of anoxia (19). When cultured under hypoxic conditions, hMSCs exhibit increased proliferation (20), expression of prosurvival and proangiogenic factors (21), and maintenance of an undifferentiated state that bypasses replicative senescence (22–24). The expression of hypoxia-related genes is controlled by hypoxia-inducible factor 1 (HIF1), a transcription factor implicated in several cancers and whose activities include regulation of angiogenesis, cell survival, and apoptosis (25). The activities of the tumor suppressor protein p53, whose role in the DNA damage response and apoptosis is dysregulated in most human cancers (12), are directly attenuated by HIF1 (26, 27). The metal carcinogen nickel (Ni2+) also stimulates accumulation of HIF1, further reducing the expression of p53-regulated genes (28–30). In the United States, the average person consumes roughly 150 μg Ni2+/d through food, water, and inhalation (31), illustrating the relevance to study Ni as a prevalent environmental carcinogen. A common oncogenic transcription factor, c-MYC, regulates proliferation-associated genes (32) and accumulates in immortalized, Ni-treated human cells (33), but the role of c-MYC in response to Ni2+ has not been investigated in primary or preneoplastic cells. Because Ni2+ is highly prevalent and has been shown to effectively transform human cells, studying its effects on hMSC transformation in the presence of hypoxia provides a novel and physiologically relevant paradigm for how an environmental carcinogen dysregulates stem cell functions. Therefore, in the present study, we developed an environmentally relevant model of carcinogenic hypoxia and characterized the passage-dependent response of hMSCs in terms of early transformation events in vitro as well as the in vivo consequences of implanted hMSCs.

MATERIALS AND METHODS

Cell culture

hMSCs (Lonza, Walkersville, MD, USA) were maintained in α-modified Eagle's medium (αMEM; Gibco Cell Culture, Carlsbad, CA, USA) with 20% fetal bovine serum (FBS; Gibco) with 1% penicillin-streptomycin (P/S; Gibco) at 37°C and 5% CO2. For all experiments, cells were seeded at a density of 5000 cells/cm2. Treatment conditions included sterile-filtered nickel sulfate (100 μM, Sigma-Aldrich, St. Louis, MO, USA) and/or hypoxia (0.5% O2, 5% CO2, 94.5% N2) in a hypoxia incubator chamber (Stemcell Technologies, Vancouver, BC, Canada). Cells were cultured for 3 d before endpoint evaluations. The two passage groups, passage 7–9 (P7–9) and passage 12+ (P12+), were selected to represent early and advanced stages of abnormality acquisition and senescence, respectively (15).

Western blot

Western blot analysis was done according to standard protocols (34). Primary antibodies (1:1000) include mouse anti-human p53 (recognizes both mutant and wild-type forms of p53; Abcam, Cambridge, MA, USA), mouse anti-human HIF1A (Abcam), rabbit anti-human c-MYC (generously provided by Dr. Steve Hann, Vanderbilt University Medical Center), and mouse anti-human β-actin (Santa Cruz Biotechnology, Santa Cruz, CA, USA). Horseradish peroxidase (HRP)-conjugated secondary antibodies (1:1000, Santa Cruz Biotechnology) were used; relative protein expression against β-actin was quantified via densitometric analysis using ImageJ software (U.S. National Institutes of Health, Bethesda, MD, USA; n≥3 independent experiments).

Cell proliferation

Cells were incubated with 5-bromo-2′-deoxyuridine (BrdU, Sigma) at 20 μM for 16 h, fixed in 4% paraformaldehyde (PFA; Sigma), and blocked with 1% bovine serum albumin (BSA; Sigma). DNA was denatured with HCl (2 N for 12 min on ice, 1 N for 20 min at 37°C) and neutralized with borate buffer (pH 9.0). Incorporated BrdU in proliferating cells was detected by rat anti-BrdU antibody overnight at 4°C (1:100; Abcam), followed by secondary DyLight594-conjugated goat anti-rat antibody for 2 h at room temperature in the dark (1:50, Jackson Immunoresearch, West Grove, PA, USA). Nuclei were counterstained with Hoechst (5 μg/ml; Sigma) and cells were imaged under a Nikon Eclipse Ti inverted fluorescence microscope (Nikon Instruments Inc., Melville, NY, USA). Cell proliferation was represented by the percentage of BrdU-positive cells relative to the total number of cells per image (n≥6 images).

ROS activities

To measure intracellular hydrogen peroxide (H2O2) or superoxide (O2·−), hMSCs were incubated with dichlorofluorescein diacetate (DCFDA; Molecular Probes, Carlsbad, CA, USA) or dihydroethidium (DHE; Molecular Probes), respectively, for 30 min at 5 μg/ml at 37°C. Cell nuclei were counterstained with Hoechst. Fluorescence intensity was measured on a plate reader (Tecan Group Ltd., Männedorf, Switzerland) and normalized to the corresponding cell number (excitation/emission: DCFDA, 490/540 nm; DHE, 340/535 nm; Hoechst, 360/488 nm). To visualize and quantify mitochondrial superoxide (mROS), cells were incubated with MitoTracker Red (CM-H2XROS; Invitrogen, Carlsbad, CA, USA) for 30 min at 2.5 μg/ml. The average fluorescence intensity for individual cells was calculated using ImageJ. Reduction potential was quantified by measuring the reduction of the resazurin sodium salt (Sigma) to resofurin, following the manufacturer's instructions. Cells were incubated with resazurin at 5μM for 2 h at 37°C. Reduction activity was measured on a plate reader (Tecan; excitation/emission: 535/595 nm) and normalized to cell number. For all experiments, n ≥ 3 replicates.

Caspase-3 activity

Caspase-3 activity was quantified with a colorimetric assay kit (BioVision, Mountain View, CA, USA) according to the manufacturer's protocol. Experiments were conducted in triplicate, and the average normalized optical density was reported.

β-Galactosidase staining

Staining was performed with the senescence β-galactosidase staining kit from Cell Signaling Inc. (Danvers, MA, USA) according to the manufacturer's protocol.

Flow cytometry

Cells were fixed with 4% PFA, blocked with 1% BSA, and incubated with fluorophore-conjugated primary antibodies in 1% BSA for 2 h (1:10, eBiosciences, San Diego, CA, USA). Antibodies included FITC-conjugated CD90 and PE-conjugated CD105. Tests were performed using a FACScalibur flow cytometer (Becton Dickson, Franklin Lakes, NJ, USA), with an unstained hMSC population containing both passage groups as a control. Data were analyzed with FlowJo (Tree Star, Ashland, OR, USA), and reported percentages were calculated by gating the desired cell population on the forward/side scatter plot and setting a fluorescence exclusion for >99% of the control population.

Reverse transcriptase–polymerase chain reaction (RT-PCR)

RNA was harvested with QIAshredder (Qiagen, Valencia, CA, USA) and RNeasy column (Qiagen) following the manufacturer's protocol. cDNA was synthesized with the iScript cDNA synthesis kit (Bio-Rad, Hercules, CA, USA), and RT-PCR was performed using the iQ SYBR Green supermix (Bio-Rad) on a Bio-Rad CFX Real Time Instrument for glyceraldehyde 3-phosphate dehydrogenase (GAPDH), vascular endothelial growth factor (VEGF), HIF1A, c-MYC, matrix metalloproteinase-2 (MMP-2), membrane type I MMP (MMP-14), and tissue inhibitor of metalloproteinase-2 (TIMP-2). β-Actin was used as a reference gene. MMP sequences were obtained from a previous study (35). Primer sequences used were as follows: GAPDH, 5′-GCCTCAAGATCATCAGCAATG-3′ (sense) and 5′-CTTCCACGATACCAAAGTTGTC-3′ (antisense); VEGF, 5′-CAGAAGGAGGAGGGCAGAATC-3′ (sense) and 5′-CACACAGGATGGCTTGAAGATG-3′ (antisense); p53, 5′-GCGTGTGGAGTATTTGGATGAC-3′ (sense) and 5′-AGTGTGATGATGGTGAGGATGG-3′ (antisense); c-MYC, 5′-CGTCCTCGGATTCTCTGCTCTC-3′ (sense) and 5′-CCTCATCTTCTTGTTCCTCCTCAG-3′ (antisense); HIF1A, 5′-TACCCTAACTAGCCGAGGAAGAAC-3′ (sense) and 5′-ATCAGCACCAAGCAGGTCATAG-3′ (antisense); β-actin, 5′-ATCATGTTTGAGACCTTCAA-3′ (sense) and 5′-CATCTCTTGCTCGAAGTCCA-3′ (antisense). Data were analyzed with CFX Manager software (Bio-Rad), and results are presented as ΔΔCt expression normalized to β-actin.

Osteogenic and adipogenic induction

Osteogenic and adipogenic induction media were purchased from Lonza. For adipogenesis, hMSCs were cycled between adipogenic induction and maintenance media with or without the NADPH oxidase inhibitor, diphenyleneiodinium chloride (DPI; 4 μM, Sigma) for a total of 15 d (3 d induction, 1 d maintenance, 3 d induction with or without DPI, 3 d maintenance, 3 d induction with or without DPI, and 2 d maintenance). Osteogenic induction medium was changed every 3–4 d for a total of 15 d, during which time DPI treatment occurred for a total of 6 d. To verify differentiation, alkaline phosphatase (ALP) activity and Nile red staining were performed for osteogenic and adipogenic differentiation, respectively. ALP activity was quantified using the p-nitrophenyl phosphate liquid substrate system (Sigma) according to the manufacturer's instructions (n=3). For Nile red staining, cells were fixed with 4% PFA and incubated with 100 ng/ml Nile red in 150 mM NaCl for 10 min. Cells were then washed, counterstained with Hoechst, and imaged using a Nikon Ti inverted microscope. The green fluorescence channel is shown due to improved specificity (36).

SDS-PAGE gelatin zymography

The proenzyme and active forms of MMP-2 and MMP-9 were detected using SDS-PAGE gelatin zymography in the presence of SDS in 10% polyacrylamide gels containing 0.1% (w/v) gelatin (37). Medium samples were collected from cells incubated in serum-free DMEM 24 h prior to collection. Total protein concentrations were determined by Bradford assay, and the samples were diluted 1:1 in sample buffer containing 0.14M Tris-HCl (pH 6.8), 20% (v/v) glycerol, 4.5% (w/v) SDS, and 0.003% bromphenol blue. Protein (20 μg) was loaded into each well. Electrophoresis was performed in nonreducing conditions in a Bio-Rad Mini Protean 3 system. Proteins were renatured by washing the gels in four 10-min incubations in 2.5% Triton X-100. For gelatinolytic activity, the gels were incubated at 37°C for 18 h in 50 mM Tris-HCl (pH 7.3; Sigma) containing 1.47 mg/ml CaCl2 (Sigma) and 0.05% Brij-35 (Fisher Scientific, Pittsburgh, PA, USA). The proteins were fixed for 2 h with gentle agitation in 30% methanol and 10% acetic acid at room temperature, followed by staining for 18 h with 0.1% (w/v) Brilliant Blue R-250, 0.64 M ammonium sulfate (Sigma), and 25% methanol. The gels were destained in 25% methanol for 2 h.

In vivo experiments and immunohistochemistry (IHC)

Animal housing and experimentation were performed according to the Vanderbilt University Institutional Animal Care and Use Committee guidelines under an approved protocol. For experiments, 8 × 105 hMSCs from each group were injected subcutaneously with 200 μl Matrigel (BD Biosciences, San Jose, CA, USA) into the scapular region of athymic Foxn1nu/nu female mice (4–6 wk of age, n=3 mice/group, 12 mice total; Harlan Laboratories, Indianapolis, IN, USA) and allowed to grow for 1 mo. Each week, animals were anesthetized with 2.5% isoflurane under steady flow and weighed, and tumor nodules were measured with electronic calipers. After 1 mo, animals were sacrificed by cervical dislocation under anesthesia and tumor samples were placed in 4% PFA for 24 h before being submitted for embedding, sectioning, and IHC. All IHC was performed by the Translational Pathology Shared Resource Core at Vanderbilt University Medical Center. Slides were deparaffinized and antigen retrieval was performed using standard methods. Slides were stained for 30–60 min with primary antibodies against murine F4/80 (1:1000 dilution; Novus Biologicals, Littleton, CO, USA), Ki67 (1:100; Abcam), CD31 (1:100; Dianova, Hamburg, Germany), and human S100 (1:900; Dako, Carpinteria, CA, USA) followed by appropriate HRP-conjugated secondary antibodies and detection with 3,3′-diaminobenzidine (DAB) substrate according to standard protocols. IHC slides were imaged under a Nikon stereoscope.

Statistical analysis

In all experiments, results are presented as means ± sem. Results from each experiment were initially analyzed using single-factor analysis of variance (ANOVA), and comparisons between individual test groups were then performed using an unpaired Student's t test. Values of P < 0.05 were considered statistically significant.

RESULTS

Osteogenic and adipogenic differentiation potential

To verify differentiation capacity of both passage groups, the osteogenic and adipogenic differentiation potentials of P7–9 and P12+ hMSCs were first examined (Fig. 1). hMSCs from both passage groups underwent osteogenic differentiation, but ALP activity was significantly higher in P7–9 cells (Fig. 1A), suggesting that late-passage cells have a diminished capacity for osteogenic differentiation. Cells from both passage groups exhibited a strong capacity for adipogenic differentiation, as evidenced by the presence of lipid droplets (Fig. 1B). Because ROS are known to play a key role in modulating hMSC differentiation (38, 39) DPI was added to cells periodically to verify ROS responsiveness of both passage groups. Inhibition of ROS production resulted in enhanced osteogenic differentiation (Fig. 1A) but prevented adipogenic differentiation (Fig. 1B). These findings are in agreement with the literature (38, 39) and confirm that both passage groups exhibit ROS-sensitive, multilineage differentiation potential.

Figure 1.

Figure 1.

hMSCs exhibit ROS-sensitive, multilineage differentiation potential. A) ALP activity was used as an indicator of osteogenic differentiation. ALP activity was significantly higher in P7–9 cells vs. P12+ cells, and differentiation was enhanced in the presence of DPI, an inhibitor of ROS production. B) Nile red staining of lipid droplets (green, ×40) revealed that both passage groups retained adipogenic differentiation potential. Treatment with DPI, a ROS inhibitor, inhibited adipogenic differentiation. Scale bars = 50 μm. *P < 0.05, ‡P < 0.005 vs. respective control condition or between groups as indicated by lines.

Effects of NiSO4 and hypoxia

To establish which conditions best mimic a cancerous environment, the effects of hypoxia with or without NiSO4 treatment were investigated (Fig. 2). To first investigate the effects of hypoxia and/or Ni on hMSCs, cells of passage 5–15 were used such that the effect of passage was not considered at this point. As seen in Fig. 2A, NiSO4 treatment in normoxia (T, N) reduced cell number compared to the untreated normoxia (U, N) condition. However, the untreated hypoxic (U, H) condition increased cell number vs. normoxia alone, and NiSO4 treatment in hypoxia (T, H) led to a further increase in cell number. Interestingly, the cell number in each condition correlated linearly with intracellular H2O2 content (R2 = 0.9474), suggesting a role of H2O2 in regulating cell proliferation.

Figure 2.

Figure 2.

Treatment with NiSO4 under hypoxic conditions increases cell number and stimulates expression of cancer-related proteins in hMSCs. A) Cell number decreased with NiSO4 treatment in normoxia (T, N) relative to untreated, normoxic (U, N) control. Under hypoxic conditions, cell number increased (U, H) and treatment with NiSO4 further enhanced this effect, suggesting that the cytotoxic effects of Ni are more tolerated under hypoxia. Interestingly, cell number was shown to correlate with intracellular H2O2 levels. B) Expression of oncogenic proteins HIF1A and c-MYC, and the tumor suppressor protein p53, were altered on treatment with NiSO4 and/or hypoxia.

Expression of cancer-related proteins was evaluated in each condition (Fig. 2B). In untreated normoxia, expression levels for HIF1A and c-MYC were very low, and p53 expression was moderate. On treatment with NiSO4 in normoxia, the expression of c-MYC and p53 proteins increased as compared to untreated normoxia, and this correlated with a drastic reduction in cell number (Fig. 2A), verifying that the interplay of p53 and c-MYC regulates proliferation and apoptosis. In untreated hypoxia, HIF1A and c-MYC protein expression were up-regulated as compared to untreated normoxia, which correlated with increased cell number and supports the role of these transcription factors in accelerating proliferation. P53 expression did not appear to change between these two untreated conditions. Finally, NiSO4 treatment in hypoxia stimulated a strong increase in HIF1A expression as compared to untreated hypoxia, indicating the synergistic role of nickel and hypoxia in accumulating HIF1A. In addition, c-MYC expression remained strong in this condition, and p53 expression did not appear to change, as compared to the untreated, normoxic condition. Taken together, the NiSO4-treated hypoxia condition most closely resembled a common cancer profile (i.e., strong expression of HIF1A and c-MYC with moderate p53 expression). We therefore identified 100 μM NiSO4 treatment under 0.5% O2 hypoxia as the most effective condition for transformation induction (TI). Control was defined as the normoxic untreated condition (0 M NiSO4, 21% O2). As seen in Table 1, the relative expression levels of the three cancer-related proteins were more rigorously investigated between the control and TI conditions (n≥3 independent experiments). In the TI condition, HIF1A and c-MYC expression were significantly up-regulated while p53 expression did not statistically change (Table 1), confirming that the hMSCs in the TI condition exhibit an expression profile that generally mimics that of cancer cells.

Table 1.

Average protein expression

Treatment HIF1A c-MYC p53
Control 0.212 ± 0.027 0.176 ± 0.042 0.309 ± 0.093
TI 1.293 ± 0.443 0.580 ± 0.085 0.371 ± 0.029
P <0.05 <0.005 >0.05

Quantification of Western blot data from multiple independent experiments of passage 5–15 hMSCs reveals that hMSCs cultured under Ni-treated hypoxia (TI condition) exhibited a protein expression profile that was similar to that commonly seen in cancers (protein of interest normalized to β-actin control band, n≥3 independent experiments).Values represent means ± sem.

Passage-dependent response to the TI condition

The passage-dependent response of hMSCs to the TI condition was then characterized in terms of proliferation, apoptosis, target protein and mRNA expression, and immune phenotype. The TI condition reduced proliferation of P7–9 hMSCs but stimulated proliferation in P12+ cells as compared to their respective controls (Fig. 3A). Furthermore, activity of the apoptosis-related protein, caspase-3, was increased in the TI condition for P7–9 cells but decreased significantly for P12+ hMSCs (Fig. 3B).

Figure 3.

Figure 3.

hMSC response to the TI condition is passage dependent. A) Proliferation by BrdU incorporation decreased in P7–9 cells in the TI condition, but increased in P12+ cells. B) Apoptosis increased in P7–9 cells in the TI condition, but decreased in P12+ cells. C) Protein expression profiles for the two passage groups showed P12+ cells to exhibit strong basal expression of the oncogenic proteins HIF1A and c-MYC, and weak expression of the tumor suppressor protein p53. In the TI condition, expression of each of these proteins increased for both passage groups. D–H) Gene expression profiles based on qRT-PCR for the two passage groups in control and TI conditions. Genes of interest were normalized to β-actin gene expression, and included the glycolytic enzyme GAPDH (D), c-MYC (E), p53 (F), HIF1A (G), and VEGF (H). Black bars represent the control condition; gray bars represent the TI condition. Statistical significance is represented by lines connecting the conditions/groups that were compared by t test. N.D., no statistical difference.

The two passage groups also exhibited different expression patterns for cancer-related proteins (Fig. 3C). In the control condition, basal expression of c-MYC and HIF1A was higher for P12+ cells, but expression of p53 was much lower as compared to P7–9 hMSCs. Interestingly, P7–9 expression of c-MYC was virtually nonexistent in the control condition, but c-MYC was expressed strongly in P12+ control cells. In the TI condition, expression of all three proteins increased for both passage groups, as compared to their respective controls.

The two passage groups also exhibited substantial differences at the level of gene expression (Fig. 3D–H). Expression of the glycolytic enzyme GAPDH increased significantly in the TI condition for both passage groups (Fig. 3D), and these results agree with literature findings regarding an increased dependence on glycolysis by hMSCs in hypoxia (24). c-MYC gene expression also increased significantly for both passage groups in the TI condition, but p53 expression did not change (Fig. 3E, F). Interestingly, p53 gene expression was higher for both conditions in P12+ cells, as compared to P7–9 cells, but p53 protein expression was actually lower for P12+ cells (Fig. 3C), suggesting a drastic difference in post-transcriptional regulation between the two passage groups. In the TI condition, HIF1A gene expression decreased for both passage groups compared to control (Fig. 3G). However, gene expression of the HIF1A-regulated VEGF did not change in the TI condition for P7–9 cells, but increased significantly for P12+ cells (Fig. 3H), indicating that the hypoxia-responsive expression program was indeed activated.

We then sought to identify the status of replicative senescence in both passage groups as well as the role of the TI condition in modulating this behavior (Fig. 4A). In the control condition, both passage groups stained positive for β-galactosidase expression (Fig. 4A, blue cells), indicating replicative senescence and supporting previous findings in the literature (15). In the TI condition, hMSCs from both passage groups effectively escaped the senescent state, as indicated by a drastic reduction in the number of blue-stained cells.

Figure 4.

Figure 4.

TI condition stimulates hMSC exit from replicative senescence and alterations in expression of stemness markers. A) hMSCs were observed to be in a state of replicative senescence based on β-galactosidase staining in the control condition, but culture in the TI condition stimulated their exit from senescence based on reduced β-galactosidase staining. Scale bars = 100 μm. B) Graphical representation of immunophenotyping of the hMSC-positive markers, CD90 and CD105, by flow cytometry (red outline: unstained control cells; black outline: control condition; gray outline: TI condition). See Table 2 for quantification of flow cytometry data.

The expression level of the positive hMSC markers CD90 and CD105 was then investigated by flow cytometric analysis (Fig. 4B, and Table 2C). Unstained cells are represented by the red, leftmost curve (Fig. 4B and Table 2). Control hMSCs from both passage groups strongly expressed both markers. Surprisingly, when quantified, P12+ cells showed stronger expression of these markers, indicating an effective maintenance of stemness into later passage (Table 2). In the TI condition, CD90 and CD105 expression decreased in both passage groups, but when quantified, P12+ cells were shown to retain their stemness to a higher degree than P7–9 cells. These data indicate that the TI condition stimulated differentiation, or significant down-regulation, of hMSC-positive markers in P7–9 cells that was not observed to the same degree in P12+ cells.

Table 2.

Flow cytometry data

Marker Expressing cells (%)
P7–9
P12+
Control TI Control TI
CD90 69.2 22.2 98.3 54.0
CD45 83.1 41.7 90.1 67.2

Quantification of data from Fig. 4B based on gated exclusion of >99% of unstained control cell population.

ROS levels and oxidative capacity

ROS are known to play crucial roles in both healthy tissue maintenance and cancer (13). The conversion of O2·− to H2O2 is critical for maintaining healthy redox homeostasis and accumulated O2·− correlates with hMSC senescence (14). Therefore, the oxidative status of the two passage groups of cells was next investigated (Fig. 5). In the TI condition, intracellular H2O2 levels decreased for P7–9 cells but increased significantly in P12+ hMSCs (Fig. 5A). In parallel, mROS were significantly decreased in the TI condition in P7–9 cells but were unaltered in P12+ cells (Fig. 5B), and intracellular O2·− levels were significantly higher for all P12+ cells, as compared to all P7–9 cells (Fig. 5C). These data reveal that O2·− is not efficiently converted to H2O2 in P12+ cells and suggest a loss in reduction potential in P12+ hMSCs as compared to P7–9 cells. As seen in Fig. 5D, P7–9 cells in the harsh TI condition maintained strong ability for reduction, whereas P12+ cells exhibited a drastic decline in reduction potential. These data indicate that ROS-handling mechanisms (i.e., antioxidative activity/reduction potential) become disrupted in late passage hMSCs, and dysfunctional redox potential follows as an explanation for increased susceptibility to the TI condition, which is not observed in lower passage, P7–9 cells.

Figure 5.

Figure 5.

Intracellular ROS levels, redox potential, and MMP activity are passage- and treatment-dependent. A) H2O2 levels decreased in the TI condition for P7–9 cells but increased for P12+ cells. B, C) mROS (B) and O2·− levels (C) were significantly higher in P12+ cells vs. P7–9. D) Reduction potential was drastically lower for P12+ cells vs. P7–9 cells. Black bars represent control condition; and gray bars represent TI condition (A–D). E) Zymography revealed little change in pro-MMP-9 expression in the three conditions, but expression of pro- and active-MMP-2 was altered in both a passage- and ROS-dependent manner. F–H) Analysis of gene expression for MMP-2 (F), MMP-14 (G), and TIMP-2 (H) showed passage-dependent differences that provided insight for the discrepancies observed in zymography. Genes of interest were normalized to β-actin gene expression. Black bars represent control condition; dark gray bars represent TI condition; light gray bars represent TI + DPI condition. N.D., no statistical difference. *P < 0.05, †P < 0.01 vs. respective control condition or between groups as indicated by lines.

MMP gene expression and gelatinolytic activity

ROS levels have been shown to influence the activities of MMPs, a class of proteases responsible for degradation and remodeling of the extracellular matrix (ECM; ref. 40). MMPs are known to regulate fundamental hMSC functions, including trafficking, differentiation, and invasive capacity (41, 42), and are necessary for cancer invasion and metastasis (43, 44). We therefore looked at the role of ROS-mediated MMP activity in the two passage groups of hMSCs in response to the control and TI conditions. Specifically, the expression of MMP-2, MMP-14, and TIMP-2 at the gene and protein levels were investigated, as well as the role of ROS in modulating their activities, by adding the NADPH oxidase inhibitor, DPI. These proteins were selected because cooperative MMP-14 and TIMP-2 activity are required to activate the proenzyme form of MMP-2 (45). TIMP-2 plays a dual role, as it can either localize with MMP-14 or bind directly with MMP-2 to positively or negatively regulate MMP-2 activation, respectively (45).

Zymography revealed that MMP-2 protein expression was altered in response to TI, DPI, and passage (Fig. 5E). Pro-MMP-9 expression was consistent in all P7–9 conditions but decreased slightly for P12+ cells in TI and TI+DPI conditions, as compared to control. For both passage groups, strong expression of both pro- and active MMP-2 was observed in the control condition. However, in the TI condition, the two passage groups exhibited different responses: in P7–9 cells, MMP-2 activation was drastically down-regulated, but in P12+ cells, the active MMP-2 level remained high. This difference can be attributed to up-regulated MMP-2 gene expression in the P12+ TI condition that was not observed for P7–9 cells (Fig. 5F). In the TI+DPI condition, MMP-2 activation was inhibited in both passage groups and pro-MMP-2 levels were significantly down-regulated, indicating a causative role of ROS in MMP-2 stability and activation. Interestingly, at the gene level, DPI treatment stimulated opposite responses in the two passage groups (Fig. 5F–H). In P7–9 cells, MMP-2 and TIMP-2 expression did not change significantly, but MMP-14 expression was up-regulated. In contrast, in P12+ cells, MMP-14 expression did not change, but MMP-2 and TIMP-2 expression were significantly up-regulated. These data suggest that the mechanism by which DPI attenuates the expression and stability of pro- and active-MMP-2 are not the same for the two passage groups. Specifically, P7–9 cells did not up-regulate MMP-2 at the gene level, suggesting that regulation occurred at the transcription level (14). In contrast, significant up-regulation of both MMP-2 and TIMP-2 gene expression was observed in P12+ cells, while MMP-14 expression remained unaltered, suggesting that post-transcriptional activities and, potentially, TIMP-2-mediated inactivation of MMP-2 are responsible for regulating MMP-2 protein expression in late passage cells.

In vivo consequences following hMSC implantation

When hMSCs were subcutaneously implanted into nude mice, tumor-like nodules formed in all animals within 1 mo, although no significant difference in tumor sizes was found among groups. On resection, nodules from the untreated control groups (P7–9 control, P12+ control), as well as the carcinogenic hypoxia-treated P7–9 TI group, were identical in gross morphology, exhibiting little to no vasculature and a homogeneous structure that resembled cartilaginous tissue. In contrast, nodules removed from all animals in which carcinogenic hypoxia-treated P12+ hMSCs were implanted contained small, white structures embedded within the cartilaginous tissue, which suggests a stark difference in composition on initial observation. Histological analyses, including hematoxylin and eosin (H&E) staining and immunodetection of CD31, Ki67, and F4/80, revealed specific differences among the groups (Fig. 6). In all groups, H&E-stained sections of the subcutaneous implants revealed well-circumscribed nodules of mesenchyme with cartilaginous differentiation (Fig. 6A), which was confirmed by positive nuclear staining by S100 antibody. Angiogenesis of the nodules was evaluated by a CD31 antibody (Fig. 6B). Although single cells were stained positively for CD31, with the strongest expression exhibited in the two P12+ groups, vessel lumen formation was not observed in any of the samples, suggesting that the nodules were not functionally vascularized.

Figure 6.

Figure 6.

Tissue samples from in vivo implantation experiments reveals significant differences between passage and treatment groups. A) H&E staining showed that the tumor-like nodules from each group exhibited well-circumscribed mesenchyme with cartilaginous differentiation. In particular, tissues from the P7–9 control, P7–9 TI, and P12+ control groups contained high levels of adipose and stromal host tissue that surrounded the nodules whereas the P12+ TI group consisted primarily of distinct, hMSC-derived areas. B) Although single cells were stained positive for CD31, a marker for endothelial cells, vessel lumen formation was not observed, suggesting that the nodules were not vascularized. Even in the two P12+ groups, strong expression of CD31 was observed, but vessel lumen was not present. CD31-stained areas generally correspond to the boxed areas in A. C) Proliferative index of the two control groups was exceptionally low, exhibiting little to no positive staining for Ki67. In contrast, the two TI groups exhibited many more Ki67+ cells; however, in the P7–9 TI group, this staining was isolated to the periphery of the nodules, including the host-derived stromal tissue, whereas the P12+ TI group demonstrated strong staining throughout the interior of the nodules. D, E) F4/80 staining for murine macrophages revealed that samples from the two control groups contained small macrophages that were evenly distributed throughout the nodules, but the two TI groups were arranged in clusters and displayed significantly more cytoplasm. Furthermore, the P12+ TI group displayed large areas within the nodule core that suggested early bone formation. Taken together, the P12+ TI group most closely represents the early stages of cancerous transformation. Scale bars = 500 μm (A, D); 250 μm (B, C); 50 μm (E).

The subcutaneous nodules were surrounded by host soft tissues consisting predominately of fat and fibrous stroma with intermixing inflammatory cells. The cartilaginous nodules from groups P7–9 control, P7–9 TI, and P12+ control were all comparable with sparse to minimal cellularity and a low proliferative index, as indicated by Ki-67 IHC (5–10% nuclear staining; Fig. 6C). The nodules from group P12+ TI were similar in overall appearance to the other groups but displayed distinct differences. Specifically, the P12+ TI nodules had a significantly higher cellularity with a markedly increased proliferative index (20–50% nuclear staining by Ki-67), suggesting that this group most closely resembled the formation of a classical tumor.

The nodules from all groups were also evaluated for the presence of macrophages by F4/80 (Fig. 6D, E). The macrophages in control groups were small and evenly distributed throughout both the nodules and surrounding stroma. In contrast, the macrophages in TI groups were decreased in number, predominately arranged in clusters within the nodules, and displayed significantly more cytoplasm. These data suggest that treatment under the TI condition stimulated an immunomodulatory effect beyond the intrinsic capability of hMSCs cultured under control conditions. Overall, P12+ TI hMSCs exhibited significantly increased cellularity, a higher proliferative index, and potential bone formation in the center of the nodules while minimizing macrophage infiltration, indicating that the in vivo result for this group could represent a neoplastic process that closely resembles that of a classical tumor, as compared with other groups.

DISCUSSION

The behavior of MSCs changes with increasing passage and donor age in both humans (15, 17) and mice (46). Previous work has shown that, when expanded in vitro, hMSCs begin to acquire senescence-associated abnormalities between passages 7 and 12, including changes in gene and protein expression patterns, and arrested proliferation (15). The present study sought to develop and characterize a novel model for in vitro cancerous transformation; profile the hMSC passage-dependent response to carcinogenic hypoxia; observe the differences in the in vivo consequence of the hMSC groups when implanted subcutaneously; and identify a key mechanism governing this relationship.

We found that P12+ hMSCs represented a more transformation-susceptible population than P7–9, according to the data presented above. We have also identified a potential mechanism of action that draws from 3 independent, external influences (hypoxia, nickel, and hMSC passage) that intricately modulate the activities of 3 transcription factors (HIF1, p53, and c-MYC) through dysregulated ROS, ultimately resulting in early transformation, as elaborated in Fig. 7. These findings illustrate a crucial aspect of hMSC passage-dependence: namely, how cell senescence and transformation susceptibility are altered with increasing in vitro expansion, and how these events likely mirror those that occur during aging. To our knowledge, this is the first study to expose hMSCs to an environmentally prevalent carcinogen while under hypoxia to mimic the physiologically relevant transformation microenvironment. This study demonstrates the first step toward an experimental model of environmental carcinogen-driven hMSC transformation and will be used to design in-depth studies that aim to build a better understanding of the cell passage-dependent susceptibility of hMSCs to oncogenesis.

Figure 7.

Figure 7.

Proposed mechanism by which the TI condition encourages cancerous transformation of late passage hMSCs. Cartoon shows that the transformation process for hMSCs involves 3 external modulators (hypoxia, Ni2+, and cell passage) that alter the activity of 3 internal regulators (p53, HIF1, and c-MYC) to promote transformation. Oncogenic proteins are shown in green boxes; p53 tumor suppressor protein is shown in the yellow box. Hypoxia promotes proliferation and cell survival by increasing the accumulation of HIF1 compared to p53, and up-regulating the expression of HIF1-regulated genes. HIF1 directly inhibits transactivation of p53. Ni2+ treatment causes the accumulation of c-MYC as compared to without Ni2+ in normoxic conditions, and stabilizes HIF1 in hypoxic conditions, thereby further down-regulating the expression of p53-regulated genes (as confirmed by previous studies). Cell aging/passage result in the accumulation of c-MYC protein, decreased p53 protein expression, and build-up of ROS due to faulty redox mechanisms. In carcinogenic hypoxia, late-passage hMSCs experience serial insults that promote their exit from senescence while maintaining expression of stemness markers, increasing proliferation, cell survival, and ROS, and decreasing apoptosis, cell cycle regulation, and the DNA damage response. These factors, when combined, are proposed to result in cancerous transformation of late passage hMSCs.

We investigated the combinatorial effects of hypoxia and nickel on the two passage groups of hMSCs and identified their mechanistic relationship (Fig. 7). First, hypoxia stimulates a modest accumulation of HIF1A and p53 (Fig. 2B), but hypoxia alone does not stimulate transactivation of p53-regulated genes, because p53 is directly inactivated by HIF1 (26, 27). In parallel, Ni2+ exerts its effects through activation of the hypoxia response pathway, resulting in further accumulation and stabilization of HIF1 (28). Treatment with Ni2+ alone also stimulates the accumulation of p53 (Fig. 2B), but accumulated HIF1 inactivates p53 activity (27). Therefore, the cooperative effects of hypoxia and Ni2+ treatment synergistically amplify this cascade, resulting in a continually increasing bias of proliferative, cell survival genes (HIF1-regulated) relative to apoptosis, cell cycle arrest genes (p53-regulated) (Fig. 3). In addition, late-passage hMSCs have been shown to accumulate O2·− due to faulty redox mechanisms (ref. 14 and Fig. 5) and down-regulate genes and proteins associated with cell cycle regulation and the DNA damage response (refs. 15, 16; i.e., decreased expression of p53, Fig. 3C). Ni2+ treatment has been shown to stimulate intracellular ROS production (33), which causes an overwhelming increase in oxidative stress that was seen in the present study to be well-tolerated by healthy P7–9 cells, but not late passage P12+ cells (Fig. 5). In parallel, our data show that late passage hMSCs intrinsically express a higher basal level of the oncogenic proteins c-MYC and HIF1A with a concurrent reduction in p53 protein expression (Fig. 3C). Because Ni2+ and hypoxia further enhance the levels of c-MYC and HIF1A expression, respectively, and also stimulate ROS production, the faulty redox mechanisms that are present in late passage cells, in cooperation with altered oncogenic and tumor suppressor protein expression, appear to predispose late passage hMSCs to transformation susceptibility. Indeed, when implanted in vivo P12+ TI hMSCs resulted in the formation of tumor-like nodules whose activities more closely resembled those of common tumors; specifically, P12+ TI hMSCs exhibited increased cellularity and proliferative index with decreased macrophage infiltration, when compared to control groups.

As described in Fig. 7, these combined observations reveal that P12+ hMSCs exit a senescent state while maintaining strong expression of stemness markers and oncogenes. These alterations in cell behavior result in increased proliferation, cell survival, and ROS with a concurrent decrease in apoptosis, cell cycle regulation, and the DNA damage response, resulting in early hMSC transformation. Taken together with the analysis of in vivo tissue samples following implantation, these data suggest that late-passage hMSCs in the TI condition most closely resemble an in vitro approximation of in vivo hMSC transformation, and can be used for further studies to elucidate fundamental inter- and extracellular mechanisms governing pathological changes in hMSC behavior.

CONCLUSIONS

Here we developed an environmentally relevant model of carcinogenic hypoxia and profiled the passage-dependent hMSC responses. The interrelated effects of hypoxia, Ni2+, and hMSC passage perpetually damaged hMSCs through increased ROS and oncogenic modulation, resulting in a phenotype that resembles the characteristics of cancer cells. This study is the first to show how concurrent treatment with a metal carcinogen and hypoxia affects hMSCs, and the findings represent a crucial step in understanding the early stages of hMSC transformation in the onset and progression of cancer.

Acknowledgments

The authors are grateful for technical help from Dae Kwang Jung.

This research is supported by Vanderbilt Start-Up, the U.S. National Institutes of Health (HL091465), the National Cancer Institute (CA34590-30; A.R.), and a Senior Research Career Scientist Award from the U.S. Department of Veterans Affairs (A.R.).

Footnotes

ALP
alkaline phosphatase
BrdU
5-bromo-2′-deoxyuridine
BSA
bovine serum albumin
DCFDA
dichlorofluorescein diacetate
DHE
dihydroethidium
DPI
diphenyleneiodinium chloride
GAPDH
glyceraldehyde 3-phosphate dehydrogenase
H&E
hematoxylin and eosin
HIF
hypoxia-inducible factor
hMSC
human mesenchymal stem cell
HRP
horseradish peroxidase
IHC
immunohistochemistry
ROS
reactive oxygen species
MMP
matrix metalloproteinase
mROS
mitochondrial reactive oxygen species
P
passage
PFA
paraformaldehyde
RT-PCR
reverse transcriptase–polymerase chain reaction
TI
transformation induction
TIMP
tissue inhibitor of matrix metalloproteinase
VEGF
vascular endothelial growth factor

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