Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Sep 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2020 Jan 8;29(3):676–680. doi: 10.1158/1055-9965.EPI-19-1462

Racial difference in prostate cancer cell telomere lengths in men with higher-grade prostate cancer: a clue to the racial disparity in prostate cancer outcomes

Christopher M Heaphy 1,2,5,*, Corinne E Joshu 4,5, John R Barber 4, Christine Davis 1, Reza Zarinshenas 1, Angelo M De Marzo 1,2,3,5, Tamara L Lotan 1,2,5, Karen S Sfanos 1,2,3,5, Alan K Meeker 1,2,3,5, Elizabeth A Platz 2,3,4,5
PMCID: PMC7060118  NIHMSID: NIHMS1548184  PMID: 31915143

Abstract

Background:

Black men have worse prostate cancer outcomes following treatment than White men even accounting for prognostic factors. However, biological explanations for this racial disparity have not been fully identified. We previously showed that more variable telomere lengths among cancer cells and shorter telomere lengths in cancer-associated stromal (CAS) cells individually and together (“telomere biomarker”) are associated with prostate cancer death in surgically-treated men independent of currently used prognostic indicators. Here, we hypothesize that Black-White differences in the telomere biomarker and/or in its components may help explain the racial disparity in prostate cancer outcomes.

Methods:

Black (higher-grade [Gleason ≥4+3]=34, lower-grade=93) and White (higher-grade=34, lower-grade=89) surgically-treated men were frequency matched on age, pathologic stage, and grade. We measured telomere lengths in cancer and CAS cells using a robust telomere-specific fluorescence in situ hybridization assay. Tissue microarray and grade-specific distributional cutpoints without regard to race were evaluated.

Results:

Among men with higher-grade disease, the proportion of Black men (47.1%) with more variable cancer cell telomere lengths was 2.3-times higher (p=0.02) than that in White men (20.6%). In contrast, among men with lower-grade disease, cancer cell telomere length variability did not differ by race. The proportion of men with shorter CAS cell telomeres did not differ by race for either higher- or lower-grade disease.

Conclusions:

A greater proportion of Black men with higher-grade disease have an adverse prostate cancer cell telomere phenotype than White men with higher-grade disease.

Impact:

Our findings suggest a possible explanation for the racial disparity in prostate cancer outcomes.

Keywords: Telomeres, prostate cancer, cancer-associated stroma, race

INTRODUCTION

Prostate tumorigenesis, including subsequent cancer progression, is a multi-step, evolutionary process. This process includes the acquisition of initiating genetic and epigenetic alterations that confer a proliferative advantage to pre-neoplastic cells, the development of progressive genomic instability with phenotypic variability, and finally the retention and expansion of these rare oncogenic variants by inhibition of apoptosis and the activation of telomerase (1). Increasing evidence supports that alterations in the surrounding tissue microenvironment promote prostate carcinogenesis (1,2). Thus, simultaneous assessment of the tumor and its microenvironment may yield important insights into the disease process, as well as identify novel molecular biomarkers and/or therapeutic targets.

Tissue-based measurements of telomeres, the repetitive DNA elements located at chromosomal ends that are essential for maintenance of genomic integrity, is one such potential biomarker (3,4). Since short, dysfunctional telomeres promote genomic instability (5), we previously demonstrated that tissue-based measurement of telomeres is useful in predicting prostate cancer death in a large prospective study of men surgically treated for clinically localized prostate cancer. Using a robust telomere-specific fluorescence in situ hybridization (FISH) assay that provides telomere lengths on a per cell basis, we observed in a cohort study that men with more variable telomere lengths among their prostate cancer cells and shorter telomere lengths in their prostate cancer-associated stromal (CAS) cells, especially when combined (the “telomere biomarker”), had a statistically significantly increased risk of developing distant metastases and ultimately dying from their disease (6). Importantly, these findings were independent of currently used prognostic indicators, and the telomere biomarker even performed well in men with intermediate risk disease (i.e. clinically-localized Gleason 7 prostate cancer). However, this study was conducted in a cohort in which the majority of the men were White.

Compared to White men, Black men have a higher age-adjusted prostate cancer incidence and mortality rates and have worse outcomes following primary treatment of their disease (7). Even among men with a very low-risk prostate cancer at diagnosis, Black men have more adverse pathologic features in their radical prostatectomy specimens than White men and are more likely to experience poor outcomes (e.g. Gleason upgrading and biochemical recurrence) (8). Furthermore, Black men presenting with very low-risk prostate cancer are more likely to also harbor a tumor in the anterior of the prostate, tumors that are often high grade and large in volume (9). However, only limited biological explanations for this racial disparity have been identified, for example somatic ERF mutations and differences in copy number alterations (10). Prostate tissue-based telomere length measurements have not been compared between frequency matched Black and White men.

Thus, given our prior findings and to address a possible biological explanation for the racial disparity in prostate cancer outcomes, we determined whether the prevalence of the telomere biomarker and its components differ in prostate tissue between age, stage, and grade frequency matched Black and White men surgically treated for higher- and lower-grade prostate cancer, overall and in restricting to men with tumors that with intact PTEN or negative for ERG, other prostate cancer biomarkers, that are known to differ by race (1113).

MATERIALS AND METHODS

Tissue-based study populations

Two separate tissue microarray (TMA) sets designed to investigate whether prostate tissue-based biomarkers differ by race were obtained from The Prostate Cancer Biorepository Network (PCBN; http://prostatebiorepository.org/). The PCBN higher-grade TMA set was enriched for higher-grade disease and consisted of 4 cores each from tumor and benign-appearing areas for each of 57 self-reported Black men and 59 White men surgically treated for prostate cancer between 2014 and 2016, and frequency matched on pathologic grade, age at diagnosis, Gleason sum (Grade Group), and pathologic stage. The PCBN lower-grade TMA set was enriched for lower-grade disease and consisted of 4 cores each from tumor and benign-appearing areas for each of 77 Black men and 75 White men surgically treated for prostate cancer between 2000 and 2010, and frequency matched on age (within 3 years), prostatectomy date, surgeon, Gleason sum, stage, and margin status. The design of both TMA sets, measurement of telomere length, and analyses were approved by the Institutional Review Boards at the Johns Hopkins Bloomberg School of Public Health and Johns Hopkins University School of Medicine.

Telomere-specific FISH

Telomere length was assessed on TMA sections containing areas of adenocarcinoma using a telomere-specific fluorescence in situ hybridization (FISH) probe and 4’,6-diamidino-2-phenylindole (DAPI) for labeling total nuclear DNA as previously described (6,14). Each individual TMA spot on each TMA slide was imaged using the TissueFAXS Plus (Tissue Gnostics) automated microscopy workstation and Zeiss Z2 Axioimager microscope. The digitized fluorescent telomere FISH signals were quantified using the TissueQuest software module to analyze the fluorescent images with precise nuclear segmentation. For each case, we evaluated prostate cancer cells and prostate CAS cells. Based on their unique morphologic features, other cell types (e.g. infiltrating lymphocytes) were excluded from the digital image analysis. Men without a valid telomere measurement were excluded (PCBN lower-grade N=4; PCBN higher-grade N=8).

ERG and PTEN Immunohistochemistry

Immunostaining was previously performed on these TMAs using genetically validated rabbit monoclonal antibodies and staining protocols for ERG (EPR3864; Ventana) and PTEN (D4.3; Cell Signaling Technologies) on the Ventana Benchmark or Ventana Discovery Ultra (Ventana/Roche) (11). Visual scoring using a dichotomous and validated scoring system was performed (11).

Statistical analysis

Means and proportions for demographic and pathologic characteristics were calculated separately for Black and White men by TMA set and by prostatectomy Gleason sum (irrespective of TMA set). Median (telomere length) and standard deviation (telomere length variability) of the telomere signal normalized to DAPI were determined for each man for cancer cells and CAS cells. Using the telomere measurements that comprise the telomere biomarker – cancer cell-to-cell variability in telomere length and CAS cell telomere length, we identified TMA and grade-specific distributional cutpoints without regard to race as follows: more variable (top tertile) in telomere length among cancer cells versus less variable (bottom and middle tertiles), and shorter (shortest and middle tertiles) telomere length in CAS cells versus longer (longest tertile). Next, we categorized men by TMA- and grade- (lower; higher) specific tertiles of cancer cell length variability and TMA- and grade-specific tertiles of CAS cell telomere length. As in our prior study (6), we further categorized men as having more (top tertile) versus less variable (middle and bottom tertiles) cancer cell telomere lengths and as having shorter (shortest and middle tertiles) versus longer (longest tertile) of CAS cell telomere lengths. To form the “telomere biomarker”, we categorized the men jointly by variability and length as follows: less variable in cancer cells/long CAS, more variable in cancer cells/long CAS, less variable in cancer cells/short CAS, more variable in cancer cells/short CAS.

Given our prior observation that the prevalence of more variable telomere length among cancer cells differed by Gleason sum (6), a priori, we conducted the analysis separately by higher- and lower-grade disease. Only 6 men on the PCBN lower-grade TMAs had high-grade disease; thus, we were unable to establish biomarker cut-points for these men and they were excluded from the analysis. Thus, the higher-grade cases are all from the PCBN higher-grade TMA set.

Since White and Black men were well-matched on disease characteristics within each TMA set (Supplemental Table 1), we used the lower-grade cases combined from the PCBN higher-grade TMA set and the PCBN lower-grade TMA set. For the lower-grade cases, we calculated prevalences of the telomere biomarker and its components pooled over the two TMA sets by taking the weighted average. We compared the prevalences of the telomere measurements by race separately for higher- and lower-grade disease using the Chi-square test.

To be able to assess the independence of any racial differences in telomere measurements from the known racial differences in PTEN and ERG status, in sub-analyses, we determined whether any racial difference in the prevalence of the telomere biomarker or its components was observed among men with higher-grade disease who were PTEN intact or ERG negative. All analyses were performed using SAS v 9.4 (SAS Institute, Cary, NC). All statistical tests were two-sided, with p<0.05 considered to be statistically significant.

RESULTS

Characteristics of the Black and White men with prostate cancer

Table 1 provides the characteristics of the 68 men with higher-grade prostate cancer and the 182 men with lower-grade prostate cancer who were included in the study. White and Black men were frequency matched on age at diagnosis, Gleason sum score (i.e. Grade Group), and pathologic stage. For the higher-grade group, the mean age at diagnosis was 63 years, the majority of the men were Grade Group 5 (61.8%), the majority of men were pathological stage T3A or above, and some men presented with lymph node involvement. In contrast, for the lower-grade group, the mean age at diagnosis was 57 years, the majority of the men were Grade Group 1 (58%), the majority of men were pathological stage T2, and none of the men presented with lymph node involvement.

Table 1.

Pathologic characteristics of men whose prostatectomy tissue was represented on the TMA sets by race*.

Lower-grade Higher-grade

White Black White Black

N N=89 N=93 N=34 N=34
Mean age (sd)* 57 (6.0) 57 (5.9) 63 (6.6) 63 (6.8)
Prostatectomy Gleason (%)
  ≤6 (Grade Group 1) 58.4 58.1 - -
  3+4 (Grade Group 2) 41.6 41.9 - -
  4+3 (Grade Group 3) - - 23.5 23.5
  8 (Grade Group 4) - - 14.7 14.7
  9 (Grade Group 5) - - 61.8 61.8
Pathologic Stage (%)
  T2 79.8 77.4 38.2 41.2
  T3A 19.1 21.5 20.6 17.6
  T3B 1.1 1.1 38.2 38.2
  T4 0 0 2.9 2.9
Lymph Node Involvement (%) - -
  N1 - - 17.6 20.6
  NX - - 0 5.9
*

Pooled over the PCBN lower-grade and PCBN higher-grade TMA sets. White and Black men on each TMA set were frequency matched on age, prostatectomy Gleason score, and pathologic stage.

**

Men with higher-grade disease whose prostatectomy tissue was represented on the PCBN lower-grade TMA set (n=6) were excluded because there was an insufficient number of cases to establish TMA- and high grade-specific biomarker cut-points.

Variability in cancer cell telomere lengths differs by race in higher-grade prostate cancer

As shown in Table 2, in the higher-grade cases, the prevalence of more variable telomere lengths among cancer cells was 2.3-times higher in Black (47.1%) than in White men (20.6%), a difference that was statistically significantly (p=0.02). In contrast, in the higher-grade cases, the prevalence of shorter CAS cell telomere lengths did not differ between Black and White men (p=0.44). While the prevalence of the telomere biomarker category associated with worse outcomes (more variable/short) appeared to be higher in Black (20.6%) than in White (8.8%) men, the overall distribution of the four telomere biomarker categories did not differ by race among men with higher-grade prostate cancer (p=0.16).

Table 2.

Prevalences of more variable telomere lengths among cancer cells, shorter telomere lengths in cancer associated stromal cells (CAS), and the telomere biomarker category by race and grade in the PCBN lower-grade and PCBN higher-grade TMA sets.*

Lower-grade** Higher-grade***
White Black P-value White Black P-value
(N=89) (N=93) (N=34) (N=34)
Telomere Biomarker Components            
 More variable in cancer cells (%) 29.2 36.6 0.29 20.6 47.1 0.02
 Shorter in CAS cells (%) 67.4 67.4 0.99 70.6 61.8 0.44
Telomere Biomarker
 Less Variable/Long (%) 15.7 12.0 0.76 17.7 11.8 0.16
 More Variable/Long (%) 16.9 20.7 11.8 26.5
 Less Variable/Short (%) 55.1 52.2 61.8 41.2
 More Variable/Short (%) 12.4 15.2 8.8 20.6
*

TMA- and grade-specific distributions used to determine biomarker cut-points.

**

Prevalences pooled over the PCBN lower-grade and PCBN higher-grade TMA sets using weights.

***

Men with higher-grade disease whose prostatectomy tissue was represented on the PCBN lower-grade TMA set (n=6) were excluded because there was an insufficient number of cases to establish TMA- and high grade-specific biomarker cut-points.

Chi-square test.

Telomere measurements do not differ by race in lower-grade prostate cancer

As shown in Table 2, in the lower-grade cases, the pooled prevalence of more variable telomere length among cancer cells (p=0.29), shorter CAS cell telomere lengths (p=0.99), and the telomere biomarker (p=0.76) did not differ between Black and White men.

The racial difference in more variable cancer cell telomere lengths in men with higher-grade prostate cancer is not explained by ERG or PTEN

Since racial differences have been reported in the prevalence of ERG or PTEN status, other prostate cancer biomarkers, we sought to exclude associations of ERG or PTEN with more variable cancer cell telomere lengths as the explanation for the observed racial difference in the latter in men with higher-grade prostate cancer. In the men with higher-grade disease (N=68), the Black and White difference in the prevalence of more variable cancer cell telomere lengths remained in men with ERG-negative (N=47 [69.1%]; B=48.2%, W=15.0%, p=0.03) and with PTEN-intact (N=50 [73.5%]; B=52.0%, W=20.0%, p=0.02) prostate cancers.

DISCUSSION

In this study of 127 Black and 123 White frequency matched men, we found that among men with higher-grade disease, a higher proportion of Black than White men had more variable telomere lengths in prostate cancer cells. We previously linked the presence of this adverse telomere phenotype at the time of prostatectomy with worse outcomes independent of currently used prognostic indicators stage and grade (6), and in this context, this racial difference may contribute to racial disparity in prostate cancer outcomes.

Previous studies have shown that extensive telomere shortening in cancer cells compared with normal epithelial cells in the vast majority of prostate tumors (15). Telomeric fusions, a marker for telomere dysfunction, have been detected at high frequencies in prostate cancers (16). Additionally, telomere shortening has been shown to occur in CAS cells (17,18) thereby leading to replicative senescence, an irreversible exit from the cell cycle (19). Senescent fibroblasts can promote SASP, a senescence-associated secretory phenotype (20), through the secretion of pro-inflammatory cytokines, growth factors, and matrix remodeling enzymes. In turn, this newly remodeled microenvironment can further promote prostate cancer initiation and progression. Consistent with this notion, we recently found that shorter telomeres in CAS cells, in combination with increased cell-to-cell telomere length variation among cancer cells, was strongly associated with progression to metastasis and prostate cancer death in men treated for clinically localized disease (6). However, it must be noted that given the demographics of populations, these previous studies were conducted almost exclusively in White men. The results from the current study suggest a difference in telomere length profiles among cancer cells (a higher prevalence of greater variability in length) between Black men and White with higher-grade disease. Assuming that the prognostic-factor adjusted hazard ratio for association between more variable telomere length among cancer cells and lethal prostate cancer in men with higher-grade disease (4+3) from our prior study (6) is the same as what we would observe in the Black and White men with higher-grade disease in the source population for the current study, we estimate that more variable telomere lengths accounts for a greater burden of the risk of progression to lethal disease in Black men (25%) than White men (13%). Thus, identifying men with higher-grade disease and more variable telomere length in their prostate cancer cells and providing optimized treatment given their higher risk of poor outcome should result in an even greater benefit in Black men than in White men, thereby helping to reduce the racial disparity in poor outcomes of this disease.

Recent clinical trials of prostate cancer treatment suggest Black men may have equivalent outcomes to White men (21,22). In these clinical trials, men were carefully selected and care is standardized. However, these observations do not exclude the possibility that Black men have biologically different or more aggressive prostate cancer. For example, previous studies have demonstrated that ERG and PTEN alterations in prostate cancer are less common in African-American than in European-American men (1113). In our study, in the men with higher-grade disease, the Black and White difference in the prevalence of more variable cancer cell telomere lengths remained in men with ERG-negative or PTEN-intact disease. These results suggest that the observed difference racial variation in the cancer cell telomere length variability is not explained by racial differences in the prevalence of ERG or PTEN status.

There are a number of strengths of this study. We assessed telomere lengths in two different cohorts from Johns Hopkins, which are available through an important national resource – the Prostate Cancer Biorepository Network (PCBN). To our knowledge this is only the first study to investigate cell-specific telomere lengths directly in prostate tissues to determine if the prevalence of these telomere length measurements differs in prostatectomy tissues between age, stage- and grade-matched Black and White men. However, despite this strength, there are also limitations to our study. This is a retrospective study with cases coming from one large tertiary care hospital. Race was previously abstracted from the medical record by the teams that selected the men for the TMAs; we did not assess genetic admixture or social and lifestyle factors that correlate with race and that might influence telomere measurements. We previously observed that obesity and physical inactivity were associated with shorter CAS cell telomere length (23), and smoking was associated with more variable telomere length in CAS cells in men without major comorbidities (24), but none of these was associated specifically with more variable cancer cell telomere length (the prevalence of which differed by race in the current study). The sample size and time since prostatectomy was not sufficient to investigate the telomere biomarker and its components in relation to prostate cancer outcomes in the Black and White men whose prostatectomy tissue is represented on the two TMA sets. Future studies that include larger cohorts of matched Black and White men from multiple institutions with adequate clinical follow-up and information characterizing the tumor microenvironment (e.g. milieu of inflammatory cells, secretion of pro-inflammatory cytokines) are thus warranted.

In summary, our finding that among men with higher-grade disease, a higher proportion of Black than White men had more variable telomere lengths among prostate cancer cells suggests a possible explanation for the racial disparity in prostate cancer outcomes.

Supplementary Material

1

Acknowledgments

Grant support: This work is supported by PCF Young Investigator Awards (C. Heaphy & C. Joshu), the Patrick C. Walsh Prostate Cancer Research Fund (C. Heaphy), DOD grant W81XWH-12-1-0545, DOD grant W81XWH-14-1-0364, Prostate Cancer Biorepository Network (PCBN) W81XWH-18-2-0013 and W81XWH-18-2-0015, NCI P50 CA58236, NCI P30 CA006973, and the Maryland Cigarette Restitution Fund at Johns Hopkins.

Footnotes

Disclosures: None

Conflict of Interest: Elizabeth A. Platz, ScD, MPH is the Editor-in-Chief of Cancer Epidemiology, Biomarkers & Prevention. The other authors declare no potential conflicts of interest.

REFERENCES

  • 1.Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell 2011;144(5):646–74. [DOI] [PubMed] [Google Scholar]
  • 2.Levesque C, Nelson PS. Cellular Constituents of the Prostate Stroma: Key Contributors to Prostate Cancer Progression and Therapy Resistance. Cold Spring Harbor perspectives in medicine 2018;8(8). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Blackburn EH. Structure and function of telomeres. Nature 1991;350(6319):569–73. [DOI] [PubMed] [Google Scholar]
  • 4.O’Sullivan RJ, Karlseder J. Telomeres: protecting chromosomes against genome instability. Nat Rev Mol Cell Biol 2010;11(3):171–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Artandi SE, Chang S, Lee SL, Alson S, Gottlieb GJ, Chin L, et al. Telomere dysfunction promotes non-reciprocal translocations and epithelial cancers in mice. Nature 2000;406(6796):641–5. [DOI] [PubMed] [Google Scholar]
  • 6.Heaphy CM, Yoon GS, Peskoe SB, Joshu CE, Lee TK, Giovannucci E, et al. Prostate cancer cell telomere length variability and stromal cell telomere length as prognostic markers for metastasis and death. Cancer Discov 2013;3(10):1130–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin 2019;69(1):7–34. [DOI] [PubMed] [Google Scholar]
  • 8.Sundi D, Ross AE, Humphreys EB, Han M, Partin AW, Carter HB, et al. African American men with very low-risk prostate cancer exhibit adverse oncologic outcomes after radical prostatectomy: should active surveillance still be an option for them? J Clin Oncol 2013;31(24):2991–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Sundi D, Kryvenko ON, Carter HB, Ross AE, Epstein JI, Schaeffer EM. Pathological examination of radical prostatectomy specimens in men with very low risk disease at biopsy reveals distinct zonal distribution of cancer in black american men. J Urol 2014;191(1):60–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Huang FW, Mosquera JM, Garofalo A, Oh C, Baco M, Amin-Mansour A, et al. Exome Sequencing of African-American Prostate Cancer Reveals Loss-of-Function ERF Mutations. Cancer Discov 2017;7(9):973–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Tosoian JJ, Almutairi F, Morais CL, Glavaris S, Hicks J, Sundi D, et al. Prevalence and Prognostic Significance of PTEN Loss in African-American and European-American Men Undergoing Radical Prostatectomy. European urology 2017;71(5):697–700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Khani F, Mosquera JM, Park K, Blattner M, O’Reilly C, MacDonald TY, et al. Evidence for molecular differences in prostate cancer between African American and Caucasian men. Clin Cancer Res 2014;20(18):4925–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Lindquist KJ, Paris PL, Hoffmann TJ, Cardin NJ, Kazma R, Mefford JA, et al. Mutational Landscape of Aggressive Prostate Tumors in African American Men. Cancer Res 2016;76(7):1860–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Heaphy CM, Gaonkar G, Peskoe SB, Joshu CE, De Marzo AM, Lucia MS, et al. Prostate stromal cell telomere shortening is associated with risk of prostate cancer in the placebo arm of the Prostate Cancer Prevention Trial. Prostate 2015;75(11):1160–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Graham MK, Meeker A. Telomeres and telomerase in prostate cancer development and therapy. Nature reviews Urology 2017;14(10):607–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Tu L, Huda N, Grimes BR, Slee RB, Bates AM, Cheng L, et al. Widespread telomere instability in prostatic lesions. Molecular carcinogenesis 2016;55(5):842–52. [DOI] [PubMed] [Google Scholar]
  • 17.Heaphy CM, Fleet TM, Treat EG, Lee SJ, Smith AY, Davis MS, et al. Organ-wide telomeric status in diseased and disease-free prostatic tissues. Prostate 2010;70(13):1471–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Joshua AM, Shen E, Yoshimoto M, Marrano P, Zielenska M, Evans AJ, et al. Topographical analysis of telomere length and correlation with genomic instability in whole mount prostatectomies. Prostate 2011;71(7):778–90. [DOI] [PubMed] [Google Scholar]
  • 19.Allsopp RC, Vaziri H, Patterson C, Goldstein S, Younglai EV, Futcher AB, et al. Telomere length predicts replicative capacity of human fibroblasts. Proc Natl Acad Sci U S A 1992;89(21):10114–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Krtolica A, Parrinello S, Lockett S, Desprez PY, Campisi J. Senescent fibroblasts promote epithelial cell growth and tumorigenesis: a link between cancer and aging. Proc Natl Acad Sci U S A 2001;98(21):12072–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Dess RT, Hartman HE, Mahal BA, Soni PD, Jackson WC, Cooperberg MR, et al. Association of Black Race With Prostate Cancer-Specific and Other-Cause Mortality. JAMA Oncol 2019;5(7):975–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Halabi S, Dutta S, Tangen CM, Rosenthal M, Petrylak DP, Thompson IM Jr., et al. Overall Survival of Black and White Men With Metastatic Castration-Resistant Prostate Cancer Treated With Docetaxel. J Clin Oncol 2019;37(5):403–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Joshu CE, Peskoe SB, Heaphy CM, Kenfield SA, Van Blarigan EL, Mucci LA, et al. Prediagnostic Obesity and Physical Inactivity Are Associated with Shorter Telomere Length in Prostate Stromal Cells. Cancer Prev Res (Phila) 2015;8(8):737–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Joshu CE, Peskoe SB, Heaphy CM, Kenfield SA, Mucci LA, Giovannucci EL, et al. Current or recent smoking is associated with more variable telomere length in prostate stromal cells and prostate cancer cells. Prostate 2018;78(3):233–8. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1

RESOURCES