Cancer stem-like cells (CSCs) are associated with cancer progression, metastasis, and recurrence, and may also represent a subset of circulating tumor cells (CTCs). In our prior study, CTCs in advanced prostate cancer patients were found to express CD117/c-kit in a liquid biopsy. Whether CD117 expression played an active or passive role in the aggressiveness and migration of these CTCs remained an open question. In this study, we show that CD117 expression in prostate cancer patients is associated with decreased overall and progression-free survival and that activation and phosphorylation of CD117 increases in prostate cancer patients with higher Gleason grades. To determine how CD117 expression and activation by its ligand stem cell factor (SCF, kit ligand, steel factor) alter prostate cancer aggressiveness, we used C4-2 and PC3-mm human prostate cancer cells, which contain a CD117+ subpopulation. We demonstrate that CD117+ cells display increased proliferation and migration. In prostaspheres, CD117 expression enhances sphere formation. In both 2D and 3D cultures, stemness marker gene expression is higher in CD117+ cells. Using xenograft limiting dilution assays and serial tumor initiation assays, we show that CD117+ cells represent a CSC population. Combined, these data indicate that CD117 expression potentially promotes tumor initiation and metastasis. Further, in cell lines, CD117 activation by SCF promotes faster proliferation and invasiveness, while blocking CD117 activation with tyrosine kinase inhibitors (TKIs) decreased progression in a context-dependent manner. We demonstrate that CD117 expression and activation drives prostate cancer aggressiveness through the CSC phenotype and TKI resistance.
Prostate cancer is the second leading cause of cancer mortality in American men, with an estimated 191,930 new cases in 2020. When diagnosed locally and treated, patients can expect a 99% 5-year survival rate. Once cancer has metastasized or recurred; however, the 5-year survival rate drops to 30% driving ongoing research to identify and treat patients harboring aggressive tumors1. Currently, available nomograms are unable to distinguish patients with indolent disease from those likely to experience metastasis. Ongoing research has focused on understanding the individual steps of metastasis in an attempt to develop new methods to identify patients with aggressive disease. The first steps of the metastatic process: epithelial-mesenchymal transition (EMT), local invasion, intravasation, and survival in the circulation, represent early targets for identifying patients with aggressive tumors2,3,4. Cancer cells completing these steps become circulating tumor cells.
Circulating tumor cells (CTCs) are released at a rate of 3.2 × 106 cells/g tissue daily, comprising one cell out of 105 to 107 leukocytes in the bloodstream3,5,6. However, < 0.01% of these cells will initiate metastases3,5. While multiple markers were proposed for prostate cancer CTCs7, most have yet to be validated in the circulation of patients. Further, it remains unproven whether CTCs can initiate metastases, which is partially due to an inability to examine the journey of CTCs from the primary tumor to the metastatic niche8. A subset of CTCs postulated to drive metastasis are cancer stem-like cells (CSCs)9,10. The CSC theory postulates that a subpopulation of tumor cells remaining after resection drives recurrence, while CTCs surviving the circulation and arresting at metastatic sites driving tumor growth are metastatic CSC11. In either case, CSCs are capable of self-renewal and asymmetric division and may be able to recapitulate the initial tumor heterogeneity. Further, these CSCs are more resistant to most treatments11,12,13,14,15,16,17,18.
Several markers for CTCs and CSCs are postulated in the literature7. In a prior study, we identified CD117/c-kit positive CTCs in prostate cancer patients that were associated with cancer severity and biochemical recurrence19. CD117+ cell numbers were increased in the prostate tissue and circulation of patients with Gleason 8 + disease. Further, three months postoperatively, CD117 CTC numbers were equal or increased in patients with recurrent cancer, while CD117+ cell numbers had dropped 50% in patients for whom surgery was successful19. Further studies demonstrated that CD117 expression in prostate cancers was increased with Gleason score and that CD117 was expressed by both stromal cells in the transitional zone and cancer cells in the peripheral zone20. Additionally, CD117 is expressed on both normal stem cells and aggressive cancer cells with CD117 expression found on hematopoietic stem cells (HSCs) and stem cells in the murine prostate21,22,23. A single CD117 positive cell, which was also Lin- Sca-1+ CD133+ CD44+, regenerated an entire secreting prostate when mixed with urogenital mesenchymal cells and implanted in the renal capsule. Thus, this CD117 expressing cell was considered a prostate stem cell in adult tissue22. Thus, CD117 expression is associated with stemness in multiple cell types.
CD117 is a member of the type III tyrosine kinase receptors which play a key role in cell signaling and are responsible for maintaining cell functions such as cell survival, metabolism, cell growth and progression, proliferation, apoptosis, cell migration, and cell differentiation21,24,25,26. These effects of CD117 activation and signaling support its potential role in prostate cancer progression and CSC maintenance. How CD117 activation alters proliferation, stemness, and migration remains to be elucidated. The present study aimed to determine the extent to which the CTC marker CD117 was involved in prostate cancer progression, CSC maintenance, and therapeutic resistance. The human prostate cancer cell lines C4-2 and PC3-mm were separated into CD117+ and negative populations and the differences between the two subpopulations examined. The effects of CD117 activation by SCF treatment or inhibition by tyrosine kinase inhibitor (TKI) treatment were also tested. Using live-cell imaging and xenograft models, we determine that CD117 activation drives progression, stemness, migration, and TKI resistance.
RNA sequencing data from 4638 individuals from the prostate cancer cohort were obtained from The Cancer Genome Atlas via cBioPortal (https://www.cbioportal.org/)27,28. Survival data was calculated by cBioPortal. Affymetrix mRNA expression, copy number, and protein expression data from prostate cancer cell lines were obtained from the Broad Institute Cancer Cell Line Encyclopedia (https://portals.broadinstitute.org/ccle)29,30.
To assess, the numbers of CD117 expressing cells in human prostate cancer cell lines, C4-2 (LNCaP-C4-2; RRID: CVCL_4782), PC-3 (RRID: CVCL_0035), DU145 (RRID: CVCL_0105), VCaP (RRID: CVCL_2876), 22Rv1 (RRID: CVCL_1045) (the prior five lines were gifts from Dr. Warren D. Heston, Cleveland Clinic), LNCaP (RRID: CVCL_0395; a gift from Dr. Magda Grabowska, Case Western Reserve University, via Dr. Simon Hayward and Dr. Leland Chung), MDA-PCa-2b (RRID: CVCL_4748; ATCC) and PC3-mm (RRID: CVCL_4885) were blocked with human FcR blocking reagent (1:100; Miltenyi Biotec) and subsequently incubated with anti-CD117/c-kit- APC (1:50; Miltenyi Biotec; RRID: AB_615056). Cells were fixed in 1% formalin and analyzed on a BD FACS Canto II running the FACS Diva Software (BD Biosciences) in the WFBCCC Flow Cytometry Shared Resource. Fluorescence values were normalized to an unstained control samples and initial compensation applied using IgG-APC control antibody (Miltenyi Biotech; RRID: AB_871704).
Cell culture, sorting, and treatment
To examine how CD117 expression alters cell function, human prostate cancer C4-2 or PC3-mm cells were sorted into CD117+ and negative populations from a single passage just prior to experiments. C4-2 and PC3-mm cells were cultured in RPMI1640+10%FBS. Cells are confirmed negative for mycoplasma every six months by the WFBCCC Cell Engineering Shared Resource using the Lonza MycoAlert Mycoplasma Detection Kit. All experiments were performed within 10 passages using cells authenticated by the MD Anderson Cytogenetics and Cell Authentication Core (4/30/2019). C4-2 and PC3-mm were sorted into CD117+ and negative populations using the Miltenyi MACS sorting beads or the ThermoFisher MagniSort CD117 (c-kit) positive selection kit. Sorted cells were treated with 50 ng/mL recombinant stem cell factor (SCF; Miltenyi Biotec), 5 μM imatinib mesylate (Sigma), 5 μM sunitinib malate (Sigma), or 5 μM ISCK03 (Sigma).
IncuCyte live cell imaging
To image cells over time, an Essen Bioscience IncuCyte ZOOM live-cell imager in the WFBCCC Cell Engineering Shared Resource was used for proliferation, scratch migration, chemotaxis, and sphere formation assays. For proliferation assays, sorted cells were plated at 2000 cells per well and imaged over three days. The percentage of confluence was calculated. For scratch migration assays, sorted cells were plated at 50,000 cells per well. The next day, cells were scratched using the Essen Biosciences WoundMaker tool. Scratches were imaged for 48 h and percent wound closure measured. For chemotaxis assays, sorted cells were plated at 1000 cells/top of the insert and imaged for 48 h. The number of cells on the top and bottom of the insert were counted. For sphere formation assays, 1000 sorted cells were plated in ultra-low attachment plates and imaged over nine days. This method generates one sphere per well. The sphere area was calculated over time. Separate groups were treated with inhibitors or starved overnight before SCF treatment.
For detection of stem cell and EMT marker expression, immunofluorescent staining for; SOX2, OCT4, E-cadherin, N-Cadherin, and vimentin was conducted. Spheres were embedded into OCT freezing medium and sectioned at 10 μm thick onto UltraClear Plus Microslides (Denville Scientific). Sections were then fixed in 4% paraformaldehyde (PFA) and then incubated with either; goat polyclonal anti-SOX2 (1:20; R&D Systems; RRID: AB_355110), rabbit polyclonal anti-OCT4 (1:100; Abcam; RRID: AB_445175), goat polyclonal anti-E-cadherin (1:100; R&D Systems; RRID: AB_355568 ), rabbit polyclonal anti-N-cadherin (1:250; Abcam; RRID: AB_444317), or rabbit monoclonal anti-Vimentin (1:500; Abcam; RRID: AB_10562134). Sections were then incubated with either Alexa Fluor 555 polyclonal donkey anti-goat (1:500; Invitrogen; RRID: AB_2535853) or Alexa Fluor 555 polyclonal goat anti-rabbit secondary antibodies, respectively (1:500; Invitrogen; RRID: AB_2535850). Slides were mounted with Prolong Gold Antifade DAPI (1:5000; Invitrogen). Images were captured on an Olympus VS110 at 10 × by the WFBCC Cellular Imaging Shared Resource, and relative fluorescence was quantified using ImageJ software (v1.80; NIH).
Quantitative PCR gene expression
To examine gene expression, cells and spheres were lysed using the Qiagen RNeasy kit and cDNA synthesized using the Applied Biosystems High Capacity cDNA Reverse Transcription kit. Primer sequences are listed in Table 1. For detection and quantification, PCR reactions were run on a Roche Light Cycler 480II using the Applied Biosystems SYBR Green PCR Master Mix. Data were analyzed by the ΔΔCT method.
To assess tumor-initiating capabilities, NOD.CB17-Prkdcscid mice (Jackson Laboratory; RRID: IMSR_JAX:001303) aged between 8 and 12 weeks old were injected subcutaneously with decreasing numbers of sorted C4-2 cells (100 to 10 cells) under Wake Forest School of Medicine IACUC Approval #A15-221 in accordance with relevant guidelines and regulations. Two tumors were injected per mouse. After 30 days, tumors were removed and weighed. For serial tumor initiation, tumors were dissociated using the Miltenyi tumor dissociation kit run on the Miltenyi gentleMACS Octo Dissociator. Resulting cells were again bead isolated and injected into a second group of mice at 10 cells and allowed to grow 30 days before tumor removal.
Tumor microarray analysis
To assess whether CD117 was activated in prostate cancers, we obtained tissue microarrays (TMAs) from the WFBCCC Tumor Tissue and Pathology Shared Resource under IRB Approval #38212. TMAs processed from immunohistochemistry to visualize phosphorylated (p-) CD117 (Y730) (R&D Systems, 1:50, RRID: AB_1152039) in tissues. Slides were scanned on a Hamamatsu Photonics NanoZoomer by the Virtual Microscopy Core. Staining was quantified using Indica Labs HALO software and grouped according to Gleason Score.
To determine statistical significance, Student’s t test or one-way analysis of variance with Tukey post-test were used to analyze data with the GraphPad Prism 7 software (RRID: SCR_002798). For experiments over time, linear regression models were developed to test for differences in slopes over time and test interactions between cell type and slope of the relationship with time using the SAS software (RRID: SCR_008567). Tumor initiation p values were calculated using chi square tests for independence or Fisher’s exact test using the SAS software. Error bars represent the SEM of experiments. *p < 0.05, **p < 0.01, and ***p < 0.005. Experiments were repeated at least three times.
CD117 expression results in decreased survival
In a prior study, we demonstrated that the number of CD117+ cells circulating in prostate cancer patients was associated with cancer severity and biochemical recurrence19. Based on these findings, we asked how CD117 expression on these cells promoted prostate cancer progression. In an initial study, we showed that CD117+ C4-2 xenograft tumors were larger and more angiogenic than tumors containing the negative population19. To examine the outcomes of prostate cancer patients bearing CD117 alterations in their tumors, we used the cBioPortal database to mine the TCGA database. CD117 expression was found to be amplified in patients in 11 of the 19 studies examined representing 0.6–16.2% of the patients. Median overall survival time was reduced to 77 months in patients with CD117 alteration compared with 133 months (Logrank Test p = 5.23 × 10–7) for unaltered patients (Fig. 1A). Additionally, progression-free survival was decreased in patients with CD117 gene alterations (Logrank Test p = 8.951 × 10–3; Fig. 1B). We then used the Broad Institute Cell Line Encyclopedia to examine changes in CD117 expression in prostate cancer cell lines. The copy number of CD117 was not necessarily associated with mRNA and protein expression (Fig. 1C,E). The mRNA for CD117 (Fig. 1D) was highly expressed in all cell lines with lower protein expression (Fig. 1E). Accordingly, we profiled several prostate cancer cell lines including several bone-tropic lines not currently available in the Broad Institute Cell Line Encyclopedia for CD117 cell surface expression by flow cytometry. We discovered a small CD117+ population in PC3 (~ 0.61%), DU145 (~ 0.685%), and MDA-PCa-2b (~ 0.25%) prostate cancer cell lines (Fig. 1F). No surface CD117 expression was found on LNCaP, 22Rv1, or VCaP prostate cancer cells (Fig. 1F) despite their higher proteomic expression (Fig. 1E). The bone-tropic PC3-mm cell line contained a ~ 2% CD117+ subpopulation. The androgen-independent and bone-tropic C4-2 prostate cancer cell line (derived from LNCaP cells) contained significant CD117+ population, ~ 21.4% on average. As previously described, androgen dependent cell lines, such as LNCaP (Fig. 1F) and the LNCaP clone FCG (Fig. 1E), had no protein or surface expression of CD11731. We chose to examine the two bone-tropic prostate cancer cell lines with the highest surface CD117 expression, C4-2 and PC3-mm, in subsequent experiments studying the CD117+ subpopulation. For experiments requiring higher cell numbers, only the C4-2 line was studied.
CD117 expression stimulates prostate cancer proliferation and migration
To further determine how CD117 expression drives prostate cancer aggressiveness, we sorted C4-2 and PC3-mm human prostate cancer cells into CD117+ and negative populations. Using live-cell imaging, we examined differences between these two populations. In a proliferation assay, CD117+ cells proliferated more quickly than the negative cells. C4-2 CD117+ cells reached confluency peak at hour 58 at which point CD1117+ cells were 2.9-fold more confluent than the negative population (Fig. 2A). Similarly, PC3-mm CD117+ cells at hour 58 were 1.75-fold more confluent than the negative population (Fig. 2B) Thus, in monolayer culture, CD117 promotes proliferation.
Since CD117+ cells were found in the patient circulation, we examined cancer cell migration using scratch and chemotaxis assays. Confluent C4-2 and PC3-mm CD117+ and negative cells were scratched to generate a wound, and cell movement into the wound was measured by live-cell imaging. CD117+ cultures showed increased confluence within the wound and decreased wound width over time (Fig. 2C,D). Upon experimental termination, C4-2 CD117+ cell wound closure was 2.7-fold higher and PC3-mm CD117+ cell would closure was 1.2-fold higher. Additionally, C4-2 CD117+ and negative cells were plated on the top of a transwell, and migration through pores measured over time. At experimental termination, 3.2-fold more CD117+ cells had migrated when compared to the negative population (Fig. 2E). Thus, CD117 expression increases cell migration in two dimensions.
Another marker of aggressive tumor cells is the ability to form spheres17,32,33,34,35,36. Sorted cells were examined for sphere formation by live-cell imaging and changes in gene and protein expression of aggressiveness markers was measured in spheres. C4-2 CD117+ cells formed 1.35-fold larger spheres on day 5 compared with the negative cells (Fig. 3A). PC3-mm sorted cells demonstrated no differences in sphere growth (Fig. 3B). To examine aggressiveness, staining for the EMT marker vimentin demonstrated a 1.7-fold increase in C4-2 CD117+ spheres compared with negative (Fig. 3C) and PC3-mm spheres had a 2.4-fold increase in vimentin (Fig. 3D). Additionally, a 2.0-fold increase in the stemness marker Oct4 was measured in C4-2 CD117+ spheres (Fig. 3C). To examine how growth in 3D spheres altered gene expression, we compared samples to 2D, monolayer grown cultures. The growth of C4-2 CD117+ cells in spheres upregulated Oct4 (6.8-fold) and MMP-13 (7.7-fold) compared with monolayer cultures (Fig. 3E). Interestingly, the ligand for CD117, SCF, expression was also increased with 3D growth of the C4-2 CD117+ cells. (Fig. 3E). No significant difference was seen between negative culture conditions (Fig. 3E). Taken together, these data demonstrate that CD117 expression may promote prostate cancer progression and this effect is increased when cells are grown in 3D spheres. Because the C4-2 prostate cancer cell line contained a higher CD117+ subpopulation, we profiled them in the rest of our studies, which required higher cell numbers.
CD117+ cells are cancer stem-like cells
More invasive cancer cells that form prostaspheres have the potential to be CSCs17. Additionally, the expression of stem cell markers, including Oct3/4 and Sox2 are often used to examine stemness in potential CSCs32,37,38. To further demonstrate pluripotency, self-renewal capacity is measured by clonogenic assays and serial in vivo tumor initiation or limiting dilution experiments designed to examine whether a population could regenerate an entire tumor and thus be considered a CSC13,14,16,39,40. In order to differentiate tumor-initiating cells from CSCs, repeated tumor-initiating xenografts are required40,41. To determine whether C4-2 CD117+ cells displayed the CSC phenotype, we first examined the expression of stemness markers. Gene expression of Oct4 and Sox2 were 2.5- and 15.5-fold higher, respectively, in C4-2 CD117+ cells compared with the negative population (Fig. 4A). To validate if these cells were a true cancer stem-like population, we performed serial tumor initiation experiments. C4-2 CD117+ and negative cells were implanted subcutaneously in immunocompromised mice at limiting dilutions. Both populations formed tumors from 500 to 10,000 implanted cells (data not shown). At all cell concentrations, CD117+ cells formed larger tumors (Fig. 4B). At 100 cells both groups reliably formed tumors, while at 25 cells approximately 40% of CD117+ and 30% of negative cell implants formed tumors (Fig. 4C). At 10 cells, 50% (13 of 26) of CD117+ and 23% (6 of 26) of negative cell implantations formed tumors (Fig. 4C). Serial tumor initiation was completed by dissociating the 10 cell tumors, repeating bead sorting, and re-implantation at 10 cells. In serial tumor initiation, CD117+ cells formed a second tumor ~ 25% of the time (3 of 20 from 10 cells and 7 of 20 from 25 cells), while the negative implants were unable to initiate secondary tumors (data not shown). Thus, CD117 positive cells represent a prostate cancer stem-like subpopulation.
SCF activation of CD117 increases prostate cancer progression
Based on these data demonstrating that CD117 expression drives prostate cancer progression, we questioned how activation of CD117 might alter these effects. CD117 is activated by binding to SCF, its sole ligand. SCF, found in a dimer, binds to CD117 inducing dimerization, phosphorylation, and downstream signaling leading to proliferation, cytoskeletal rearrangement, and migration21,42,43. To examine how activation of the tyrosine kinase receptor CD117 may alter prostate cancer aggressiveness, we first examined phosphorylated (p-)CD117 levels in prostate cancer patients. The numbers of p-CD117+ cells per core increased with Gleason Score (Fig. 5A). Tumors from patients with grade 4 and 5 cancers contained 2.2-fold more p-CD117 cells compared with grade 1 patient tumors. Thus, activated CD117 is increased in patients with cancer severity.
Next, we examined how CD117 activation by SCF alters prostate cancer cell aggressiveness. First, we treated our sorted C4-2 CD117+ and negative cells with SCF and found that SCF increased proliferation of CD117+ cells by live-cell imaging (1.4-fold at hour 40) but had no significant effect on the negative populations (Fig. 5B). We then tested how CD117+ cell activation by SCF would change invasion. Sorted cells were placed in a transwell system with SCF in the bottom chamber (Fig. 5C). C4-2 CD117+ cell invasion was 1.4-fold higher towards SCF than media alone at experimental termination. Thus, SCF functions as a chemoattractant factor for CD117+ cells inducing migration. Finally, SCF treatment effects on CSC gene expression was examined. CD117+ cells have much higher CSC gene expression compared with the negative population. SCF treatment stimulated small, but insignificant decreases in Oct4 and Sox2 expression in CD117+ cells and an increase in Sox2 expression only in negative cells (Fig. 5D). Taken together, these data demonstrate that CD117 activation induces prostate cancer progression as shown by proliferation and migration.
CD117 inhibition prevents prostate cancer progression
Since CD117 activation induced prostate cancer progression and migration, we next examined the effects of treatment with the tyrosine kinase inhibitors (TKIs): sunitinib, imatinib, and ISCK03. Sunitinib targets several pathways and receptors including PDGFR and VEGFR in addition to CD11721,44,45,46. Imatinib targets CD117, in addition to BCR-Abl, RET, and PDGFR44,47. ISCK03 is a cell-permeable CD117 specific inhibitor that blocks SCF-induced phosphorylation48,49,50. In proliferation studies, sunitinib had the greatest reduction of proliferation for CD117+ cells (85% at 70 h), while ISCK03 treatment resulted in a 50% reduction in proliferation and imatinib treatment did not affect proliferation (Fig. 6A). We next examined the effect of TKIs on growth in 3D. In contrast to proliferation in monolayer, imatinib had the strongest effect inhibiting sphere growth 66%, while sunitinib induced 50% inhibition, and ISCK03 had minimal effect at hour 136 (Fig. 6B). Taken together, these data demonstrate that TKIs decrease CD117 induced proliferation and sphere formation, but the effects of the individual TKIs are dependent on the culture conditions. Overall our data demonstrate that CD117 activation plays a key role in prostate cancer, progression, migration, and resistance to TKIs.
In this study, we determined how the CTC marker CD117 expression and activation affected prostate cancer progression. CD117 expression on human prostate cancer cells induced increased proliferation, migration, and sphere formation. CD117+ cells expressed stemness marker genes and generated tumors in serial tumor initiation studies indicating that CD117-expressing cells represent a CSC. Beyond expression, CD117 activation was associated with increased cancer severity. SCF activation of CD117 stimulated further proliferation and invasion but had no additional effect on CSC genes. Conversely, CD117 inhibition by TKIs diminished cell proliferation and sphere formation. Our data suggest that CD117 activation drives prostate cancer progression, invasion, and TKI resistance through its induction of the CSC phenotype.
We demonstrate that CD117 expression induces prostate cancer progression, and its activation increases with cancer severity. CD117 expression and overactivation is found in several cancers including gastrointestinal stromal tumors (GIST), acute myeloid leukemia, and melanoma21,24,51,52,53. CD117 is best studied in GIST, which carries CD117 activating mutations. In GIST, CD117 expression and activation is associated with worse prognosis and bone metastasis54,55,56,57. However, activating mutations have only been found in GIST despite increased expression in prostate and ovarian cancers among others21,53,58. CD117 expression in many cancers is associated with shorter disease survival and metastasis. CD117 is low in benign prostate tissues and is increased with cancer progression in prostate cancer patients with the highest levels of CD117 staining seen in bone metastases21,31,58,59,60. However, the opposite is true in myeloid/erythroid cancers, whose patients have improved or unchanged prognosis when CD117 is expressed61. This may be partially due to biological differences between hematologic malignancies and solid tumors in which some genes and miRNA have opposite functions62. Further, in solid tumors, cancer cells are often the result of dedifferentiation whereas in hematological malignancies cancer cells are often transformed HSCs or from earlier lineage cells. Thus, the differences in CD117 function in these tumors may relate to the degree of “stemness.”
Our data indicate that the CD117 subpopulation represents a prostate CSC. This finding is supported by data demonstrating that CD117 expressing cells in the normal prostate are also stem-like. CD117+ prostate stem cells were found in all murine prostate lobes and both the luminal and basal compartments. Prostates generated from a single CD117+ cell contained neuroendocrine synaptophysin-positive cells and expressed probasin and Nkx3.122. CD117 is a well-known stem-cell marker for normal hematopoietic cells, and its expression declines as cells lose their plasticity during differentiation63,64,65. Further, in other cancer types, including lung and ovarian cancers, CD117 expressing cells exhibited CSC characteristics including self-renewal66,67,68. In osteosarcomas, CD117 is expressed on CSCs and confers resistance to chemotherapies69. In that study, CD117+ osteosarcoma cells formed spheres and successfully initiated tumors after serial transplant similar to our findings with the prostate cancer cell line. Further, in accordance with previous studies for prostate cancer, CD117 expression was higher in metastatic osteosarcoma tumors. Thus, CD117 expression appears to correlate with an ability to metastasize to bone. Our prior study demonstrating CD117 expression on CTCs, in combination with this study demonstrating that CD117+ cells are tumor-initiating cells, suggests that CD117 likely plays an important role in driving bone metastasis although future studies are needed to examine a causal link.
CD117+ cell escape from the primary tumor could be caused by chemotaxis towards SCF as demonstrated by our in vitro data. SCF plays an important role in the homing to and maintenance of HSCs in the bone microenvironment31,65,70,71. Bone marrow niche cells secreting SCF include perivascular cells, endothelial cells, pericytes, mesenchymal stem cells, megakaryocytes, and stromal cells72,73. Additionally, osteoblasts produce SCF and control CD117 expressing HSC numbers near trabeculae74. Correspondingly, SCF deletion in endothelial cells or pericytes leads to HSC depletion in bone marrow72,75,76. SCF also plays an important role in cancer and metastasis. Bone marrow stromal cells and prostate cancer express membrane SCF and release the soluble form. However, bone marrow stromal cells express much higher levels of the soluble SCF31. These data indicated that SCF in the bone marrow might function as a chemoattractant stimulating prostate cancer bone metastasis as already demonstrated during Ewing’s sarcoma metastasis to bone77. Interestingly, C4-2 prostate cancer cells contain a subpopulation of CD117+ cells, while the LNCaP parental subline does not. It is likely that the exposure of the LNCaP cells to bone marrow during the generation of the C4-2 subline induced CD117 expression78. This was shown with the PC3 cells that once exposed to bone marrow cells started to express CD11731. In other cell types, SCF treatment can induce CD117 expression but can also induce internalization of the receptor42,79,80. These data may explain why SCF treatment stimulated increased Sox2 expression in the negative population and had little effect on the CD117+ cell population gene expression. Further studies are needed to examine how SCF treatment might promote CD117 expression in negative cells. Binding of SCF to the CD117+ cells may confer therapeutic resistance due to internalization of the receptor or via competition with TKIs, such as imatinib, for the CD117 activation site81.
Our data demonstrate that CD117+ prostate CSCs do not have a strong response to TKI treatment and that their response is context dependent. The TKIs imatinib and sunitinib were developed for and have a higher specificity for other tyrosine kinases. The lack of CD117+ cell response may be one reason for the failures of these TKIs in clinical studies82. Further, for prostate cancer, TKIs were given to patients with castration-resistant metastatic disease, which may be too late for the treatments to show efficacy. However, cabozantinib treatment in CRPC patients demonstrated tumor reduction and smaller bone metastases83. Cabozantinib, which was not tested in this study, had a higher specificity for CD117 than either imatinib or sunitinib21. CD117 expressing osteosarcoma cells are resistant to doxorubicin69. CD117 mutations in GIST are responsible for resistance to TKI treatment. 14% of GIST patients are initially resistant to imatinib, and 50% develop resistance within two years of treatment. For most patients, sunitinib will then be used and effective unless one mutation, D816H/V, is present which is resistant to both TKIs. Imatinib works better on inactive CD117 and prevents activation, but does not bind to activated CD11784. Further, SCF in the bone microenvironment alters the efficacy of treatments, especially TKIs, which have off-target effects in bone85. TKIs induce osteonecrosis in the jaw even when combined with bisphosphonates86. One possible reason may be stimulation of osteoclast and osteoblast differentiation by SCF. Another confounding factor is that tumor microenvironment SCF induces imatinib resistance by competing for the binding site with a higher affinity for CD11781. Thus, the high levels of SCF in the bone microenvironment may prevent TKI treatment from working properly on CD117 expressing prostate cancer cells, the numbers of which increase after exposure to the bone marrow31. The failures of prior TKI research may be due to the testing of inhibitors in patients who had already developed bone metastases82. This may be too late to alter progression and TKIs could be more effective earlier in the metastatic process. Further, failures may be due to the low specificity of current TKIs for CD11721.
In combination with our prior data showing a CD117+ CTC population in advanced prostate cancer patients, the data from this study demonstrate that CD117 expression in primary tumors and on CTCs may distinguish advanced cancer patients likely to have more aggressive tumors leading to recurrence and metastasis. Further research is required to verify that CD117 expressing cells represent CSCs in patients and that these cells initiate bone metastases, which would require the development of new bone metastases models87. In summary, we demonstrate that the CD117 subpopulation of C4-2 prostate cancer cells represents CSCs driving progression, migration, and TKI resistance.
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Siegel, R. L., Miller, K. D. & Jemal, A. Cancer statistics, 2020. CA. Cancer J. Clin. 70, 7–30 (2020).
Rycaj, K. & Tang, D. G. Metastasis and Metastatic Cells: A Historical Perspective and Current Analysis. in Cancer Stem Cells (eds. Liu, H. & Lathia, J. D.) 317–340 (Elsevier, 2016). https://doi.org/10.1016/B978-0-12-803892-5.00012-7.
Schilling, D. et al. Isolated, disseminated and circulating tumour cells in prostate cancer. Nat. Rev. Urol. 9, 448–463 (2012).
Reymond, N., D’Água, B. B. & Ridley, A. J. Crossing the endothelial barrier during metastasis. Nat. Rev. Cancer 13, 858–870 (2013).
Butler, T. P. & Gullino, P. M. Quantitation of cell shedding into efferent blood of mammary adenocarcinoma. Cancer Res. 35, 512–516 (1975).
Allan, A. L. & Keeney, M. Circulating tumor cell analysis: Technical and statistical considerations for application to the clinic. J. Oncol. 2010, 426218 (2010).
Harris, K. S. & Kerr, B. A. Prostate cancer stem cell markers drive progression, therapeutic resistance, and bone metastasis. Stem Cells Int. 2017, 8629234 (2017).
Caixeiro, N. J. et al. Circulating tumour cells—A bona fide cause of metastatic cancer. Cancer Metastasis Rev. 33, 747–756 (2014).
Chopra, A. S., Liu, X. & Liu, H. Cancer Stem Cells: Metastasis and Evasion from the Host Immune System. in Cancer Stem Cells (eds. Liu, H. & Lathia, J. D.) 341–366 (Elsevier, 2016). https://doi.org/10.1016/B978-0-12-803892-5.00013-9.
van der Toom, E. E., Verdone, J. E. & Pienta, K. J. Disseminated tumor cells and dormancy in prostate cancer metastasis. Curr. Opin. Biotechnol. 40, 9–15 (2016).
Lobo, N. A., Shimono, Y., Qian, D. & Clarke, M. F. The biology of cancer stem cells. Annu. Rev. Cell Dev. Biol. 23, 675–699 (2007).
Clarke, M. F. et al. Cancer stem cells–perspectives on current status and future directions: AACR workshop on cancer stem cells. Cancer Res. 66, 9339–9344 (2006).
Kreso, A. & Dick, J. E. Evolution of the cancer stem cell model. Cell Stem Cell 14, 275–291 (2014).
Moltzahn, F. R., Volkmer, J. P., Rottke, D. & Ackermann, R. ‘Cancer stem cells’-lessons from Hercules to fight the Hydra. Urol. Oncol. 26, 581–589 (2008).
Nguyen, L. V., Vanner, R., Dirks, P. & Eaves, C. J. Cancer stem cells: an evolving concept. Nat. Rev. Cancer 12, 133–143 (2012).
Valent, P. et al. Cancer stem cell definitions and terminology: The devil is in the details. Nat. Rev. Cancer 12, 767–775 (2012).
Mitra, S. S. et al. Introduction: Cancer Stem Cells. in Cancer Stem Cells (eds. Liu, H. & Lathia, J. D.) 3–24 (Elsevier, 2016). https://doi.org/10.1016/B978-0-12-803892-5.00001-2.
Kyjacova, L. et al. Radiotherapy-induced plasticity of prostate cancer mobilizes stem-like non-adherent, Erk signaling-dependent cells. Cell Death Differ. 22, 898–911 (2015).
Kerr, B. A. et al. CD117+ cells in the circulation are predictive of advanced prostate cancer. Oncotarget 6, 1889–1897 (2015).
Di Lorenzo, G. et al. Expression of proto-oncogene c-kit in high risk prostate cancer. Eur. J. Surg. Oncol. 30, 987–992 (2004).
Foster, B., Zaidi, D., Young, T., Mobley, M. & Kerr, B. CD117/c-kit in cancer stem cell-mediated progression and therapeutic resistance. Biomedicines 6, 31 (2018).
Leong, K. G., Wang, B.-E., Johnson, L. & Gao, W.-Q. Generation of a prostate from a single adult stem cell. Nature 456, 804–808 (2008).
Linnekin, D. Early signaling pathways activated by c-Kit in hematopoietic cells. Int. J. Biochem. Cell Biol. 31, 1053–1074 (1999).
Stankov, K., Popovic, S. & Mikov, M. C-KIT signaling in cancer treatment. Curr. Pharm. Des. 20, 2849–2880 (2014).
Wheeler, D. L. & Yarden, Y. Receptor Tyrosine Kinases: Structure, Functions and Role in Human Disease (2015). https://doi.org/10.1007/978-1-4939-2053-2.
Wheeler, D. L. & Yarden, Y. Receptor tyrosine kinases: Family and subfamilies. Recept. Tyrosine Kinases Family Subfamilies https://doi.org/10.1007/978-3-319-11888-8 (2015).
Gao, J. et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci. Signal. 6, pl1 (2013).
Cerami, E. et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2, 401–404 (2012).
Ghandi, M. et al. Next-generation characterization of the cancer cell line encyclopedia. Nature 569, 503–508 (2019).
Barretina, J. et al. The cancer cell line encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature 483, 603–607 (2012).
Wiesner, C. et al. C-kit and its ligand stem cell factor: potential contribution to prostate cancer bone metastasis. Neoplasia 10, 996–1003 (2008).
Bae, K.-M. et al. Expression of pluripotent stem cell reprogramming factors by prostate tumor initiating cells. J. Urol. 183, 2045–2053 (2010).
Chen, X. et al. Defining a population of stem-like human prostate cancer cells that can generate and propagate castration-resistant prostate cancer. Clin. Cancer Res. 22, 4505–4516 (2016).
Bae, K.-M., Parker, N. N., Dai, Y., Vieweg, J. & Siemann, D. W. E-cadherin plasticity in prostate cancer stem cell invasion. Am. J. Cancer Res. 1, 71–84 (2011).
Qin, J. et al. The PSA(-/lo) prostate cancer cell population harbors self-renewing long-term tumor-propagating cells that resist castration. Cell Stem Cell 10, 556–569 (2012).
Jiao, J. et al. Identification of CD166 as a surface marker for enriching prostate stem/progenitor and cancer initiating cells. PLoS ONE 7, e42564 (2012).
Beck, B. & Blanpain, C. Unravelling cancer stem cell potential. Nat. Rev. Cancer 13, 727–738 (2013).
Jarrar, A., Chumakova, A., Hitomi, M. & Lathia, J. D. Enrichment and Interrogation of Cancer Stem Cells. in Cancer Stem Cells (eds. Liu, H. & Lathia, J. D.) 59–98 (Elsevier, 2016). https://doi.org/10.1016/B978-0-12-803892-5.00003-6.
Rycaj, K. & Tang, D. G. Cell-of-origin of cancer versus cancer stem cells: Assays and interpretations. Cancer Res. 75 (2015).
Zabala, M. et al. Overview: Cancer Stem cell self-renewal. in Cancer Stem Cells (eds. Liu, H. & Lathia, J. D.) 25–58 (Elsevier, 2016). https://doi.org/10.1016/B978-0-12-803892-5.00002-4.
Lathia, J. D. Cancer stem cells: Moving past the controversy. CNS Oncol. 2, 465–467 (2013).
Blume-Jensen, P. et al. Activation of the human c-kit product by ligand-induced dimerization mediates circular actin reorganization and chemotaxis. EMBO J. 10, 4121–4128 (1991).
Okumura, N. et al. Chemotactic and chemokinetic activities of stem cell factor on murine hematopoietic progenitor cells. Blood 87, 4100–4108 (1996).
Galanis, A. & Levis, M. Inhibition of c-Kit by tyrosine kinase inhibitors. Haematologica 100, e77–e79 (2015).
Di Gion, P. et al. Clinical pharmacokinetics of tyrosine kinase inhibitors. Clin. Pharmacokinet. 50, 551–603 (2011).
Hu, S. et al. Comparison of antitumor effects of multitargeted tyrosine kinase inhibitors in acute myelogenous leukemia. Mol. Cancer Ther. 7, 1110–1120 (2008).
Juurikivi, A. et al. Inhibition of c-kit tyrosine kinase by imatinib mesylate induces apoptosis in mast cells in rheumatoid synovia: A potential approach to the treatment of arthritis. Ann. Rheum. Dis. 64, 1126–1131 (2005).
Na, Y. J. et al. [4-t-Butylphenyl]-N-(4-imidazol-1-yl phenyl)sulfonamide (ISCK03) inhibits SCF/c-kit signaling in 501mel human melanoma cells and abolishes melanin production in mice and brownish guinea pigs. Biochem. Pharmacol. 74, 780–786 (2007).
Kamlah, F. et al. Comparison of the effects of carbon ion and photon irradiation on the angiogenic response in human lung adenocarcinoma cells. Int. J. Radiat. Oncol. 80, 1541–1549 (2011).
Hirano, T. et al. Long noncoding RNA, CCDC26, controls myeloid leukemia cell growth through regulation of KIT expression. Mol. Cancer 14, 90 (2015).
Ke, H., Kazi, J. U., Zhao, H. & Sun, J. Germline mutations of KIT in gastrointestinal stromal tumor (GIST) and mastocytosis. Cell Biosci. 6, 55 (2016).
Longley, B. J., Reguera, M. J. & Ma, Y. Classes of c-KIT activating mutations: proposed mechanisms of action and implications for disease classification and therapy. Leuk. Res. 25, 571–576 (2001).
Medinger, M. et al. c-kit (CD117) expression in human tumors and its prognostic value: an immunohistochemical analysis. Pathol. Oncol. Res. 16, 295–301 (2010).
Hou, Y.-Y. et al. Impact of KIT and PDGFRA gene mutations on prognosis of patients with gastrointestinal stromal tumors after complete primary tumor resection. J. Gastrointest. Surg. 13, 1583–1592 (2009).
Andersson, J. et al. Gastrointestinal stromal tumors with KIT exon 11 deletions are associated with poor prognosis. Gastroenterology 130, 1573–1581 (2006).
Søreide, K. et al. Tyrosine-kinase mutations in c-KIT and PDGFR-alpha genes of imatinib naïve adult patients with gastrointestinal stromal tumours (GISTs) of the stomach and small intestine: Relation to tumour-biological risk-profile and long-term outcome. Clin. Transl. Oncol. 14, 619–629 (2012).
Kosemehmetoglu, K. et al. Clinical and pathological characteristics of gastrointestinal stromal tumor (GIST) metastatic to bone. Virchows Arch. https://doi.org/10.1007/s00428-017-2138-7 (2017).
Stemberger-Papić, S. et al. Expression of CD133 and CD117 in 64 serous ovarian cancer cases. Coll. Antropol. 39, 745–753 (2015).
Mainetti, L. E. et al. Bone-induced c-kit expression in prostate cancer: a driver of intraosseous tumor growth. Int. J. cancer 136, 11–20 (2015).
Foroozan, M., Roudi, R., Abolhasani, M., Gheytanchi, E. & Mehrazma, M. Clinical significance of endothelial cell marker CD34 and mast cell marker CD117 in prostate adenocarcinoma. Pathol. Res. Pract. 213, 612–618 (2017).
Blair, A. & Sutherland, H. J. Primitive acute myeloid leukemia cells with long-term proliferative ability in vitro and in vivo lack surface expression of c-kit (CD117). Exp. Hematol. 28, 660–671 (2000).
Gaur, A. et al. Characterization of MicroRNA expression levels and their biological correlates in human cancer cell lines. Cancer Res 67, 2456–2468 (2007).
Acar, M. et al. Deep imaging of bone marrow shows non-dividing stem cells are mainly perisinusoidal. Nature 526, 126–130 (2015).
Kimura, Y. et al. c-Kit-mediated functional positioning of stem cells to their niches is essential for maintenance and regeneration of adult hematopoiesis. PLoS ONE 6, e26918 (2011).
Sasaki, T. et al. Regulation of hematopoietic cell clusters in the placental niche through SCF/Kit signaling in embryonic mouse. Development 137, 3941–3952 (2010).
Luo, L. et al. Ovarian cancer cells with the CD117 phenotype are highly tumorigenic and are related to chemotherapy outcome. Exp. Mol. Pathol. 91, 596–602 (2011).
Sakabe, T. et al. CD117 expression is a predictive marker for poor prognosis in patients with non-small cell lung cancer. Oncol. Lett. 13, 3703–3708 (2017).
Foster, R., Buckanovich, R. J. & Rueda, B. R. Ovarian cancer stem cells: working towards the root of stemness. Cancer Lett. 338, 147–157 (2013).
Adhikari, A. S. et al. CD117 and Stro-1 identify osteosarcoma tumor-initiating cells associated with metastasis and drug resistance. Cancer Res. 70, 4602–4612 (2010).
Ashman, L. K. The biology of stem cell factor and its receptor C-kit. Int. J. Biochem. Cell Biol. 31, 1037–1051 (1999).
Liang, J. et al. The C-Kit receptor-mediated signal transduction and tumor-related diseases. Int. J. Biol. Sci. 9, 435–443 (2013).
Ding, L., Saunders, T. L., Enikolopov, G. & Morrison, S. J. Endothelial and perivascular cells maintain haematopoietic stem cells. Nature 481, 457–462 (2012).
Broudy, V. C. Stem cell factor and hematopoiesis. Blood 90, 1345–1364 (1997).
Calvi, L. M. & Link, D. C. The hematopoietic stem cell niche in homeostasis and disease. Blood 126, 2443–2451 (2015).
Kacena, M. A., Gundberg, C. M. & Horowitz, M. C. A reciprocal regulatory interaction between megakaryocytes, bone cells, and hematopoietic stem cells. Bone 39, 978–984 (2006).
Asada, N. et al. Differential cytokine contributions of perivascular haematopoietic stem cell niches. Nat. Cell Biol. 19, 214–223 (2017).
Landuzzi, L. et al. The metastatic ability of Ewing’s sarcoma cells is modulated by stem cell factor and by its receptor c-kit. Am. J. Pathol. 157, 2123–2131 (2000).
Thalmann, G. N. et al. LNCaP progression model of human prostate cancer: Androgen-independence and osseous metastasis. Prostate 44, 91–103 (2000).
Reber, L., Da Silva, C. A. & Frossard, N. Stem cell factor and its receptor c-Kit as targets for inflammatory diseases. Eur. J. Pharmacol. 533, 327–340 (2006).
Caruana, G., Cambareri, A. C. & Ashman, L. K. Isoforms of c-KIT differ in activation of signalling pathways and transformation of NIH3T3 fibroblasts. Oncogene 18, 5573–5581 (1999).
Calipel, A. et al. Mechanisms of resistance to imatinib mesylate in KIT-positive metastatic uveal melanoma. Clin. Exp. Metastasis 31, 553–564 (2014).
Mathew, P. et al. Platelet-derived growth factor receptor inhibition and chemotherapy for castration-resistant prostate cancer with bone metastases. Clin. Cancer Res. 13, 5816–5824 (2007).
Smith, D. C. et al. Cabozantinib in patients with advanced prostate cancer: results of a phase II randomized discontinuation trial. J. Clin. Oncol. 31, 412–419 (2013).
Gajiwala, K. S. et al. KIT kinase mutants show unique mechanisms of drug resistance to imatinib and sunitinib in gastrointestinal stromal tumor patients. Proc. Natl. Acad. Sci. U. S. A. 106, 1542–1547 (2009).
Aleman, J. O., Farooki, A. & Girotra, M. Effects of tyrosine kinase inhibition on bone metabolism: untargeted consequences of targeted therapies. Endocr. Relat. Cancer 21, R247–R259 (2014).
Beuselinck, B. et al. Concomitant oral tyrosine kinase inhibitors and bisphosphonates in advanced renal cell carcinoma with bone metastases. Br. J. Cancer 107, 1665–1671 (2012).
Jinnah, A. H., Zacks, B. C., Gwam, C. U. & Kerr, B. A. Emerging and established models of bone metastasis. Cancers (Basel) 10, 176 (2018).
We thank Brandi Bickford from the Virtual Microscopy Core for her assistance with slide scanning, Jolyn Turner from the Cell Engineering Shared Resource for cell line assistance, and Dr. Taylor Peak for assistance with TMA staining. We thank Dr. Skip Heston, Dr. Magda Grabowska, Dr. Simon Hayward, and Dr. Leland Chung for the gift of the cell lines.
Koran Harris was partially supported by an NC A&T NIH/NIGMS MARC U*STAR Grant (T34 GM083980-08) and the DOD PCRP NC Summer Research Program (W81XWH-16–1-0351). Phyllis Elliott is a Gates Foundation Millennium Scholar. This research was supported by an NIH/NCI Grant R00 CA175291 to Dr. Kerr. Funding for statistical and bioinformatic analysis was provided in part by the Wake Forest Baptist Comprehensive Cancer Center Shared Resources Grant (NIH/NCI CCSG P30 CA012197) which also supported services provided by the Cell Engineering Shared Resource, Flow Cytometry Shared Resource, Cellular Imaging Shared Resource, and Tumor Tissue and Pathology Shared Resource. This research was additionally supported by the Translational Research Academy services funded by the Wake Forest CTSI Grant (NIH/NCATS UL1 TR001420).
The authors declare no competing interests.
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Harris, K.S., Shi, L., Foster, B.M. et al. CD117/c-kit defines a prostate CSC-like subpopulation driving progression and TKI resistance. Sci Rep 11, 1465 (2021). https://doi.org/10.1038/s41598-021-81126-6
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