Background
Racial and ethnic differences have been shown to affect prognosis and efficacy of prostate cancer (PCa) treatments.1–3 However, among all 286 phase II/III randomized PCa clinical trials from 1989 to 2020, only 111 (39%) reported data on race or ethnicity.4 In these clinical trials, races such as Black, Asian, and Hispanic are perennially underrepresented, and Asian males comprise only 1.5% of trial participants.4,5 Although there has been a growing body of literature addressing disparities between white and Black patients,6–8 less is known about disparities related to the Asian race.9 According to our knowledge, few studies have focused on the survival differences between Asian and white males with de novo metastatic PCa.10,11 Epidemiologic data suggest that Asian males may have lower incidence and cancer-specific mortality than other races. Between 2014 and 2019, the incidence of PCa in Asians was 55 per 100,000, which was lower than that in white (99.9), Black (172.6), Hispanic (85.3), and Native American (79.8) males. Furthermore, Asian males also have the lowest mortality rate (8.6) compared with white (17.8), Black (37.9), Hispanic (15.6), and Native American males (21.0).12 In this study, we used 3 cohorts—the LATITUDE clinical trial, the SEER program, and the National Cancer Database (NCDB)—to further examine the association between race of and prognosis for patients diagnosed with de novo metastatic PCa. To adjust for known confounding variables such as age, prostate-specific antigen (PSA), Gleason score, ECOG status, and socioeconomic status, patient-level data were balanced by propensity score matching (PSM) before analyses.
Methods
We sampled physiologic males with de novo metastatic PCa from the LATITUDE clinical trial (ClinicalTrials.gov identifier: NCT01715285) from 2013 to 2014, the SEER database from 1975 to 2019, and the NCDB from 2004 to 2013. LATITUDE was an international, phase III, randomized, double-blind comparative study of abiraterone acetate + low-dose prednisone + androgen deprivation therapy (ADT) versus ADT alone in newly diagnosed patients with high-risk, metastatic hormone-naïve prostate cancer (mHNPC).
LATITUDE included males (aged ≥18 years) with newly diagnosed mHNPC, confirmed by histology or cytology as PCa, without neuroendocrine differentiation or small cell histology, and positive bone scan or metastatic bony or visceral lesions on CT or MRI. All patients were required to have an ECOG performance status of 0–2 and ≥2 of the 3 high-risk characteristics: Gleason score ≥8, bone scan with ≥3 lesions, and measurable visceral metastasis, but not including lymph node metastasis.13
The SEER program is sponsored by the NCI and collects cancer incidence data from population-based cancer registries covering approximately 47.9% of the US population.14 Data in SEER are collected from both hospital and clinical settings. The registration sites were chosen based on the ability to maintain a high-quality cancer reporting system and for their epidemiologically significant subgroups of the population.
The NCDB is a hospital-based registry, sponsored by the American College of Surgeons and American Cancer Society, and collects patient-level data on approximately 70% of all new cancer cases across >1,500 Commission on Cancer (CoC)–accredited facilities.15 CoC-accredited hospitals are larger and located more often in urban geographic areas.
Inclusion and exclusion criteria for patients from all 3 databases are shown in supplemental eTable 1 (available with this article at JNCCN.org). This study was deemed to be exempt from Institutional Board Review at the participating research institutions.
Study Participants
In LATITUDE, 1,199 patients with mHNPC were originally sampled, of whom 597 were treated with ADT + abiraterone + prednisone and 602 were treated with ADT + placebo. A total of 275 patients were from Asian countries: 137 from China, 70 from Japan, 32 from Korea, 30 from Israel, and 6 from Malaysia. We excluded patients of races other than white and Asian and those lacking data on age; PSA, hemoglobin (Hb), and lactate dehydrogenase (LDH) levels; ECOG performance status; Gleason score; and visceral and bone metastasis (supplemental eFigure 1). The final sample included 764 patients.
In SEER, 36,207 males with metastatic PCa from 2000 to 2019 were originally sampled. Data for those diagnosed with de novo metastatic PCa are available from 2004 onward, whereas the pathologic Gleason score was available only from 2010 onward. To capture those with data on both variables, our final sample included males with ICD-O-3/WHO 2008 = “Prostate” and combined summary stage = “distant” from 2010 to 2019. We excluded patients aged ≤18 years, those of races other than white or Asian, and those who lacked information on age, Gleason score, PSA level, median household income, or follow-up information (supplemental eFigure 1). The final sample included 15,476 patients.
In the NCDB, 52,331 males with metastatic PCa from 2004 to 2013 were originally sampled. We excluded patients aged ≤18 years, those of races other than white or Asian, and those who were missing survival outcome, follow-up information, median household income, or Gleason score (supplemental eFigure 1). The final sample included 10,366 patients.
Outcome, Exposure, and Covariates
In LATITUDE, the primary outcome was overall survival (OS), defined as the time from randomization to death. Covariates that were known risk factors for PCa survival were also included in models: age; PSA, Hb, and LDH levels; ECOG performance status; Gleason score; and visceral and bone metastasis at baseline. Consistent with previously reported thresholds,13 we classified age into 3 groups: ≤65 years, 66–75, and >75 years; Gleason score into groups of <8 and ≥8; and the number of bone lesions into groups of ≤10 and >10.
In the SEER database, the primary outcomes were OS and cancer-specific survival (CSS). OS was defined as the time from diagnosis to death as a result of any cause, and CSS was defined as the time from diagnosis to death as a result of PCa. SEER identifies race according to the variable “Race record (W, B, AI, API),” which denotes white, Black, American Indian/Alaska Native, and Asian or Pacific Islander. SEER identifies use of chemotherapy according to the variable “Chemotherapy record,” which was categorized as “Yes” or “No/Unknown.” Covariates that were known risk factors for PCa survival (age, PSA level, and Gleason score) were also included in models.
In the NCDB, the primary outcome was OS, which was defined as the time from diagnosis to death as a result of any cause. CSS is not reported in the NCDB. The NCDB identifies race according to the variable “RACE,” use of chemotherapy according to the variable “RX_SUMM_CHEMO,” and use of ADT according to the variable “RX_SUMM_HORMONE.” Covariates that were known risk factors for PCa survival were also included in the models.
Statistical Analysis
In LATITUDE, race and visceral metastasis were set as binary variables; age, logPSA level, Gleason score, Hb level, and LDH level were set as continuous variables; and ECOG performance status and number of bone lesions were set as ordinal variables. In the SEER database, race and chemotherapy record were set as binary variables, and age, logPSA level, Gleason score, and median household income were set as continuous variables. In the NCDB, age and logPSA level were set as continuous variables, and race, Gleason score, and median household income were set as categorical variables. PSM was performed to reduce the effects of confounding (ratio = 1:3; clipper = 0.02).16 PSM is a nonparametric technique aimed at balancing pretreatment covariates, which will make the causal effect inference from observational data as reliable as possible. This is accomplished by constructing propensity scores based on a multivariable logistic regression model for the conditional probability of being of Asian race, including age, PSA level, Gleason score, and median household income in the model. The nearest neighbor algorithm was used with a 1:3 ratio for matching white to Asian patients, with a caliper width of 0.02 standard deviations. Then, we performed Kaplan-Meier and multivariable Cox proportional hazards analyses based on the matched cohort. In the multivariable Cox proportional hazards model, to be consistent with the previous reported thresholds, we classified age into 3 groups: ≤65 years, 66–75 years, and >75 years; Gleason score into 2 groups: <8 and ≥8; and number of bone lesions into 2 groups: ≤10 and >10 (in LATITUDE). The proportional hazards assumption was assessed visually using the scaled Schoenfeld residual, and quantitatively using the goodness-of-fit test as proposed by Grambsch and Therneu.17
We used R studio version 4.0.2 for these analyses. PSM was performed using the MatchIt package, and Kaplan-Meier analysis and multivariate Cox proportional hazards model were performed using survival and survminer packages. We used a significance level of P<.05, and all tests were 2-tailed.
Results
Study Population
After PSM, among 447 patients in LATITUDE, 221 (74 Asian, 147 white) were in the abiraterone + ADT group, and 226 (69 Asian, 157 white) were in the ADT alone group. In SEER, 4,624 patients diagnosed with de novo metastatic PCa remained after PSM (1,156 Asian, 3,468 white); 668 patients remained in the chemotherapy subgroup (167 Asian, 501 white). For CSS in SEER, 4,156 patients remained after PSM (1,039 Asian, 3,117 white); 628 patients remained in the chemotherapy subgroup (157 Asian, 471 white). The full cohort from NCDB had 1,284 patients after PSM (321 Asian, 963 white). The ADT cohort had 976 patients (244 Asian, 732 white), and the chemotherapy cohort had 1,196 patients (299 Asian, 897 white). Baseline characteristics of included patients from each cohort are reported in supplemental eTable 2.
Survival Outcomes From LATITUDE
In LATITUDE, Asian males had significantly longer median OS than white males in both the abiraterone + ADT group (not reached vs 43.8 months; Figure 1A) and ADT alone group (57.6 vs 32.7 months; Figure 1B). Multivariable Cox proportional hazards analysis indicated that Asian race was independently associated with OS in the abiraterone + ADT group (hazard ratio [HR], 0.45; 95% CI, 0.28–0.73; P=.001) and ADT alone group (HR, 0.51; 95% CI, 0.33–0.78; P=.002) (Table 1).
Estimated HRs for the LATITUDE Cohort From a Multivariable Cox Model
Survival Outcomes From SEER
In SEER, Asian males had better OS and CSS than white males in both the overall and chemotherapy cohorts. Median OS was significantly longer in Asian males than in white males in the overall cohort (53 vs 42 months; Figure 2A) and the chemotherapy cohort (median OS, 52 vs 38 months; Figure 2B). Multivariable Cox proportional hazards analysis indicated that Asian race was independently associated with OS in these cohorts (HR, 0.76; 95% CI, 0.68–0.84; P<.001, and HR, 0.71; 95% CI, 0.52–0.96; P=.025, respectively) (Table 2). Median CSS of Asian males was also longer compared with white males in the overall cohort (52 vs 42 months; Figure 2C) (HR, 0.71; 95% CI, 0.63–0.80; P<.001; Table 2). In the chemotherapy cohort, Asian race was also independently associated with CSS (median, 67 vs 52 months; Figure 2D) (HR, 0.75; 95% CI, 0.53–1.0; P=.089; Table 2). Although SEER and NCDB use a fundamentally distinct mechanism to collect patient data, we considered that some patients might be duplicated in both databases. Thus, we did a sensitivity analysis on SEER that was restricted to patients diagnosed from 2014 to 2019 to test for consistency, ensuring no overlap with NCDB (2004–2013). In time-restricted SEER, there was still a significant OS and CSS advantage for Asian males versus white males (median, 52 vs 40 months and 65 vs 49 months, respectively, for the whole cohort; and 64 vs 44 months and not reached vs 51 months, respectively, for the chemotherapy cohort) (supplemental eFigure 2).
Estimated HRs for the SEER Cohort From a Multivariable Cox Model
Survival Outcomes From NCDB
In the NCDB, Asian males also had better OS than white males in the overall, chemotherapy, and ADT cohorts, with the median OS being significantly longer in the overall cohort (38 vs 26 months, respectively; Figure 3A). Multivariable Cox proportional hazards analysis indicated that Asian race was independently associated with OS in the overall cohort (HR, 0.72; 95% CI, 0.62–0.83; P<.001), the chemotherapy cohort (34 vs 25 months; Figure 3B) (HR, 0.67; 95% CI, 0.57–0.78; P<.001), and the ADT cohort (41 vs 26 months; Figure 3C) (HR, 0.71; 95% CI, 0.60–0.84; P<.001) (Table 3).
Estimated HRs for the NCDB Cohort From a Multivariable Cox Model
Discussion
Our study shows that Asian males with de novo metastatic PCa have a better prognosis than white males with de novo metastatic PCa. This improvement in survival persists in subgroups receiving different kinds of systemic treatments including ADT, ADT + abiraterone, and ADT + chemotherapy. Our study is the most comprehensive analysis published to date on this topic and includes 3 of the largest extant datasets, with sufficient follow-up to analyze long-term outcomes across racial subgroups. These data build on the mounting evidence of better survivorship outcomes for Asian patients with de novo metastatic PCa18,19 and will help to further refine the prognosis of Asian and white males with de novo metastatic PCa.20–22 In addition, our data will help improve planning for international trials in this disease space.
Previous studies have clearly shown that PCa prognosis among all males with PCa differs by Black and white race, with PCa mortality in Black males almost double that of white males.12 However, it is often overlooked that the PCa mortality rate among Asian males with PCa is only half that of white males.12 However, unlike the differences in survival observed in our data between Asian and white patients with de novo metastatic PCa, survival disparities between Black and white patients seem to be related, in part, to access to and appropriateness of therapy.2,23,24 A prospective, multicenter study that focused on the efficacy of abiraterone between Black and white patients (ClinicalTrials.gov identifier: NCT01940276) showed no difference in radiographic rogression-free survival among males with advanced disease.25 Dess et al6 showed that the worse outcomes among Black males were seen in SEER but were not seen in a randomized clinical trial cohort. In another retrospective cohort study, African American males had significantly longer median OS compared with non-Hispanic white males (23 vs 17 months) after first-line abiraterone therapy.26 Marar et al26 reported that among patients with metastatic castration-resistant prostate cancer (mCRPC) who were treated with docetaxel, the risk of death in Black patients was significantly lower than that in white patients. These studies suggest that racial disparities in survival do exist, but they may be affected by multiple factors, including access to care and appropriateness of treatment.
In contrast, we found that Asian males had better survival than white males in all treatment subgroups, including ADT, ADT + abiraterone, and ADT + chemotherapy, across 3 large, diverse datasets. Asian males consistently had better OS than white males with metastatic PCa in all 3 datasets, and CSS was similarly better in Asian males in SEER, which includes data on cause-specific survival. Although these are retrospective analyses that are subject to selection bias, we attempted to reduce the impact of major confounding factors through PSM. Furthermore, we replicated our results in post hoc analyses of RCT data in LATITUDE, which also suggests that our findings are not purely mediated by selection factors. We also included both local Asian data (LATITUDE clinical trial) and Asian American data (SEER, NCDB), suggesting that these differences in survival are less likely to be mediated by environmental and geographical differences and more likely to be mediated by racial heritage and genetics.
It is possible that diversity in gene expression and mutation among hormone-metabolizing enzyme genes, oncogenes, and suppressor genes and the difference in copy number variation and microsatellite instability could explain at least some of the racial disparities observed in survival.27,28 Liu et al29 found that Black and white patients had more prominent drug metabolism, cytotoxic therapy resistance, and endocrine therapy resistance than Asians. Prizment et al30 demonstrated that the critical androgen-regulating gene HSD3B1 mutated differently among different races. Moreover, IPATential150, a multicenter phase III clinical trial for mCRPC, found that Asian patients had fewer instances of PTEN loss than white patients.31 Other oncogenes, such as TP53 and TMPRSS2::ERG, have also been found to be significantly less expressed in Asian individuals, whereas FOXA1 and SPOP were expressed more.32,33 PTEN loss is positively related to increasing Gleason score and poor prognosis34 and the TMPRSS2::ERG gene fusion confers a worse prognosis and increasing biochemical recurrence,35 whereas coding mutations in FOXA1 promote epithelial-to-mesenchymal transition and metastasis.36 Kwan et al37 developed a prognostic whole-blood gene signature for patients with mCRPC. Further research is needed to establish associations between these genotypes and survival differences observed across males of various races.
Our results also have important implications for designing future global multicenter clinical trials. Understanding differences in survival across races may help project the numbers of patients needed to reach oncologic outcomes and the follow-up time needed to observe such events in different racial subgroups. Adequately powering analyses to reach significance for racial subgroups will be important to achieving robust, generalizable results both in aggregate and in these racial minority subgroups. Genetic differences between races should also be considered when designing targeted molecular interventions. Our data certainly support a precision approach to prognostic assessment, and future trial data will determine whether genetic differences associated with race should be included in treatment decisions, recognizing that there is substantial genetic heterogeneity within males of the same race.
Our study has several limitations to consider. First, there are few cohorts of Asian males with metastatic PCa of sufficient size and follow-up to assess long-term survival outcomes, and only LATITUDE included prospectively collected, homogeneous data on Asian and white males. LATITUDE also included complete baseline data so that we can robustly use PSM to reduce the effects of measured confounders, unlike in SEER and NCDB. Second, some possible confounders such as ECOG performance status and visceral and bone metastasis were not included in SEER and NCDB. Third, only LATITUDE includes data on Asian males who reside in Asia, mainly from China, Japan, Korea, Israel, and Malaysia, whereas Asian Americans included in NCDB and SEER are a heterogeneous group that includes those with ancestors in central and south Asian countries. Future studies of disparities in survival outcomes would benefit from more local data on Asian males. Survival differences among patients with PCa from different regions of Asia also need to be explored. The retrospective nature of this study raises the possibility of residual confounding from unadjusted prognostic factors, such as bias introduced by Asian medical centers versus non-Asian medical centers in LATITUDE. A prospective design is needed to fully adjust the potential bias introduced by different medical sites in the future.
Conclusions
Our results show that Asian males have better OS than white males with metastatic PCa across different treatment regimens in all datasets examined, which is also consistent with CSS in SEER. These findings suggest that Asian race should be considered as an independent prognostic factor when evaluating prognosis for individual patients, and it also has important implications for the design of multiregional clinical trials. Further studies including biologic analyses are needed to understand the etiology of the apparent survival advantage for Asian males.
Acknowledgments
We thank Yale University Open Data Access (YODA) Project for supporting this work. LATITUDE data used in this study (carried out under YODA Project #2022-4819) used data obtained from the YODA Project, which has an agreement with Janssen Research & Development, LLC.
References
- 1.↑
Halabi S, Dutta S, Tangen CM, et al. Overall survival of black and white men with metastatic castration-resistant prostate cancer treated with docetaxel. J Clin Oncol 2019;37:403–410.
- 2.↑
Sartor O, Armstrong AJ, Ahaghotu C, et al. Survival of African- American and Caucasian men after sipuleucel-T immunotherapy: outcomes from the PROCEED registry. Prostate Cancer Prostatic Dis 2020;23:517–526.
- 3.↑
Poulson MR, Helrich SA, Kenzik KM, et al. The impact of racial residential segregation on prostate cancer diagnosis and treatment. BJU Int 2021;127:636–644.
- 4.↑
Riaz IB, Islam M, Ikram W, et al. Disparities in the inclusion of racial and ethnic minority groups and older adults in prostate cancer clinical trials: a meta-analysis. JAMA Oncol 2023;9:180–187.
- 5.↑
Deville C Jr, Borno HT. Declining representation and reporting of racial and ethnic minority patients in prostate cancer clinical trials despite persistent health disparities-where progress confronts limitations. JAMA Oncol 2023;9:175–177.
- 6.↑
Dess RT, Hartman HE, Mahal BA, et al. Association of Black race with prostate cancer-specific and other-cause mortality. JAMA Oncol 2019;5:975–983.
- 7.↑
Bernstein AN, Talwar R, Handorf E, et al. Assessment of prostate cancer treatment among Black and White patients during the COVID-19 pandemic. JAMA Oncol 2021;7:1467–1473.
- 8.↑
Loeb S, Borno HT, Gomez S, et al. Representation in online prostate cancer content lacks racial and ethnic diversity: implications for Black and Latinx men. J Urol 2022;207:559–564.
- 10.↑
Halabi S, Dutta S, Tangen CM, et al. Comparative survival of Asian and white metastatic castration-resistant prostate cancer men treated with docetaxel. JNCI Cancer Spectr 2020;4:pkaa003.
- 11.↑
Würnschimmel C, Wenzel M, Collà Ruvolo C, et al. Survival advantage of Asian metastatic prostate cancer patients treated with external beam radiotherapy over other races/ethnicities. World J Urol 2021;39:3781–3787.
- 13.↑
Fizazi K, Tran N, Fein L, et al. Abiraterone plus prednisone in metastatic, castration-sensitive prostate cancer. N Engl J Med 2017;377:352–360.
- 14.↑
Surveillance, Epidemiology, and End Results Program. SEER incidence data, 1975–2020. Accessed December 20, 2022. Available at: https://seer.cancer.gov/data/
- 15.↑
American College of Surgeons. Cancer programs: National Cancer >Database. Accessed December 20, 2022. Available at: https://www.facs.org/quality-programs/cancer-programs/national-cancer-database/
- 16.↑
Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res 2011;46:399–424.
- 17.↑
Grambsch PM, Therneau TM. Proportional hazards tests and diagnostics based on weighted residuals. Biometrika 1994;81:515–526.
- 18.↑
Siegel DA, O’Neil ME, Richards TB, et al. Prostate cancer incidence and survival, by stage and race/ethnicity – United States, 2001-2017. MMWR Morb Mortal Wkly Rep 2020;69:1473–1480.
- 19.↑
Zhang C, Zhang C, Wang Q, et al. Differences in stage of cancer at diagnosis, treatment, and survival by race and ethnicity among leading cancer types. JAMA Netw Open 2020;3:e202950.
- 20.↑
Guinney J, Wang T, Laajala TD, et al. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data. Lancet Oncol 2017;18:132–142.
- 21.↑
Roy S, Sun Y, Wallis CJD, et al. Development and validation of a multivariable prognostic model in de novo metastatic castrate sensitive prostate cancer. Prostate Cancer Prostatic Dis 2023;26:119–125.
- 22.↑
Modonutti D, Majdalany SE, Corsi N, et al. A novel prognostic model predicting overall survival in patients with metastatic castration-resistant prostate cancer receiving standard chemotherapy: a multi-trial cohort analysis. Prostate 2022;82:1293–1303.
- 23.↑
George DJ, Ramaswamy K, Huang A, et al. Survival by race in men with chemotherapy-naive enzalutamide- or abiraterone-treated metastatic castration-resistant prostate cancer. Prostate Cancer Prostatic Dis 2022;25:524–530.
- 24.↑
Zhao H, Howard LE, De Hoedt A, et al. Racial discrepancies in overall survival among men treated with 223radium. J Urol 2020;203:331–337.
- 25.↑
George DJ, Halabi S, Heath EI, et al. A prospective trial of abiraterone acetate plus prednisone in Black and white men with metastatic castrate-resistant prostate cancer. Cancer 2021;127:2954–2965.
- 26.↑
Marar M, Long Q, Mamtani R, et al. Outcomes among African American and Non-Hispanic white men with metastatic castration-resistant prostate cancer with first-line abiraterone. JAMA Netw Open 2022;5:e2142093.
- 27.↑
Vickers AJ, Elfiky A, Freeman VL, et al. Race, biology, disparities, and prostate cancer. Eur Urol 2022;81:463–465.
- 28.↑
Agarwal N, Alex AB, Farnham JM, et al. Inherited variants in SULT1E1 and response to abiraterone acetate by men with metastatic castration refractory prostate cancer. J Urol 2016;196:1112–1116.
- 29.↑
Liu Y, Zhou JW, Liu CD, et al. Comprehensive signature analysis of drug metabolism differences in the White, Black and Asian prostate cancer patients. Aging (Albany NY) 2021;13:16316–16340.
- 30.↑
Prizment AE, McSweeney S, Pankratz N, et al. Prostate cancer mortality associated with aggregate polymorphisms in androgen-regulating genes: the Atherosclerosis Risk in the Communities (ARIC) study. Cancers (Basel) 2021;13:1958.
- 31.↑
Sweeney C, Bracarda S, Sternberg CN, et al. Ipatasertib plus abiraterone and prednisolone in metastatic castration-resistant prostate cancer (IPATential150): a multicentre, randomised, double-blind, phase 3 trial. Lancet 2021;398:131–142.
- 32.↑
Li J, Xu C, Lee HJ, et al. A genomic and epigenomic atlas of prostate cancer in Asian populations. Nature 2020;580:93–99.
- 33.↑
Zhu Y, Mo M, Wei Y, et al. Epidemiology and genomics of prostate cancer in Asian men. Nat Rev Urol 2021;18:282–301.
- 34.↑
Jamaspishvili T, Berman DM, Ross AE, et al. Clinical implications of PTEN loss in prostate cancer. Nat Rev Urol 2018;15:222–234.
- 35.↑
Barwick BG, Abramovitz M, Kodani M, et al. Prostate cancer genes associated with TMPRSS2-ERG gene fusion and prognostic of biochemical recurrence in multiple cohorts. Br J Cancer 2010;102:570–576.
- 36.↑
Teng M, Zhou S, Cai C, et al. Pioneer of prostate cancer: past, present and the future of FOXA1. Protein Cell 2021;12:29–38.
- 37.↑
Kwan EM, Fettke H, Docanto MM, et al. Prognostic utility of a whole-blood androgen receptor-based gene signature in metastatic castration-resistant prostate cancer. Eur Urol Focus 2021;7:63–70.