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. 2024 Mar 20;7(3):e242976. doi: 10.1001/jamanetworkopen.2024.2976

Adrenal-Permissive Germline HSD3B1 Allele and Prostate Cancer Outcomes

Rana R McKay 1, Tyler J Nelson 2, Meghana S Pagadala 3,4, Craig C Teerlink 2,5, Anthony Gao 2, Alex K Bryant 6,7, Fatai Y Agiri 2, Kripa Guram 3, Reid F Thompson 8,9, Kathryn M Pridgen 2,5, Tyler M Seibert 3,4,10,11, Kyung Min Lee 2, Hannah Carter 12, Julie A Lynch 2,5,, Richard L Hauger 4,13, Brent S Rose 3,4
PMCID: PMC10955379  PMID: 38506808

This cohort study analyzes the association of HSD3B1 status with prostate cancer outcomes among patients in the Veterans Affairs Health System in the US.

Key Points

Question

Is the adrenal-permissive HSD3B1 homozygous genotype associated with worse clinical outcomes in men with prostate cancer?

Findings

In this cohort study of 5287 men with prostate cancer in the Million Veteran Program, the HSD3B1 adrenal-permissive homozygous genotype (compared with the adrenal-restrictive homozygous and heterozygous genotype) was associated with worse prostate cancer–specific mortality. Subset analysis of metastatic prostate cancer also showed worse prostate cancer–specific mortality in the adrenal-permissive homozygous genotype group.

Meaning

These findings suggest that the HSD3B1 adrenal-permissive homozygous genotype is associated with inferior outcomes in men with prostate cancer.

Abstract

Importance

The adrenal androgen–metabolizing 3β-hydroxysteroid dehydrogenase-1 enzyme, encoded by the HSD3B1 gene, catalyzes the rate-limiting step necessary for synthesizing nontesticular testosterone and dihydrotestosterone production. The common adrenal-permissive HSD3B1(1245C) allele is responsible for encoding the 3β-HSD1 protein with decreased susceptibility to degradation resulting in higher extragonadal androgen synthesis. Retrospective studies have suggested an association of the HSD3B1 adrenal-permissive homozygous genotype with androgen deprivation therapy resistance in prostate cancer.

Objective

To evaluate differences in mortality outcomes by HSD3B1 genetic status among men with prostate cancer.

Design, Setting, and Participants

This cohort study of patients with prostate cancer who were enrolled in the Million Veteran Program within the Veterans Health Administration (VHA) system between 2011 and 2023 collected genotyping and phenotyping information.

Exposure

HSD3B1 genotype status was categorized as AA (homozygous adrenal-restrictive), AC (heterozygous adrenal-restrictive), or CC (homozygous adrenal-permissive).

Main Outcomes and Measures

The primary outcome of this study was prostate cancer–specific mortality (PCSM), defined as the time from diagnosis to death from prostate cancer, censored at the date of last VHA follow-up. Secondary outcomes included incidence of metastases and PCSM in predefined subgroups.

Results

Of the 5287 participants (median [IQR] age, 69 [64-74] years), 402 (7.6%) had the CC genotype, 1970 (37.3%) had the AC genotype, and 2915 (55.1%) had the AA genotype. Overall, the primary cause of death for 91 patients (1.7%) was prostate cancer. Cumulative incidence of PCSM at 5 years after prostate cancer diagnosis was higher among men with the CC genotype (4.0%; 95% CI, 1.7%-6.2%) compared with the AC genotype (2.1%; 95% CI, 1.3%-2.8%) and AA genotype (1.9%; 95% CI, 1.3%-2.4%) (P = .02). In the 619 patients who developed metastatic disease at any time, the cumulative incidence of PCSM at 5 years was higher among patients with the CC genotype (36.0%; 95% CI, 16.7%-50.8%) compared with the AC genotype (17.9%; 95% CI, 10.5%-24.7%) and AA genotype (18.5%; 95% CI, 12.0%-24.6%) (P = .01).

Conclusions and Relevance

In this cohort study of US veterans undergoing treatment for prostate cancer at the VHA, the HSD3B1 CC genotype was associated with inferior outcomes. The HSD3B1 biomarker may help identify patients who may benefit from therapeutic targeting of 3β-hydroxysteroid dehydrogenase-1 and the androgen-signaling axis.

Introduction

The longstanding frontline treatment for patients with prostate cancer has been androgen deprivation therapy (ADT) through either surgical or medical castration. Castration results in decreased circulating and intratumoral androgen production, preventing prostate cancer progression. Prostate cancer pathogenesis is dependent on oncogenic activation of androgen receptor (AR) signaling by testosterone and the more potent 5α-reduced metabolite, 5α-dihydrotestosterone (DHT).1 Although patients are usually responsive to ADT initially, a subset of patients develop castration-resistant prostate cancer (CRPC) with poor prognosis.

Multiple androgen-dependent mechanisms of resistance to ADT have been characterized, including AR overexpression, acquisition of constitutively active AR slice variants, gain-of-function AR variants, dysregulated AR coactivators and corepressors that sensitize AR to ligand binding, extragonadal androgen synthesis from adrenal precursor steroids, and de novo synthesis from cholesterol by the enzyme 3β-hydroxysteroid dehydrogenase-1 (3β-HSD1).1 The 3β-HSD1 enzyme, encoded by the HSD3B1 gene, catalyzes the rate-limiting step in the conversion of dehydroepiandrosterone (DHEA) to androstenedione and androstenedione to testosterone and DHT, generating a nontesticular source of testosterone and DHT.2,3 HSD3B1 has a common single-nucleotide variant where 2 different germline, missense-encoding alleles result in distinct functional activities of the 3β-HSD1 protein.4 HSD3B1(1245A) is the adrenal-restrictive allele, encoding for a more rapidly degraded enzyme that restricts conversion of DHEA to testosterone and DHT.5 HSD3B1(1245C) is the adrenal-permissive allele that encodes for a stable enzyme, resistant to ubiquitination and proteosome degradation, resulting in sustained 3β-HSD1 levels and more robust DHEA-sulfate conversion to testosterone and DHT, thereby generating higher downstream exposure of the prostate to potent androgens.4

Growing evidence demonstrates an association of HSD3B1 inheritance with prostate cancer outcomes. Several independent cohorts have identified that the adrenal-permissive HSD3B1(1245C) allele is associated with worse outcomes in patients postprostatectomy6 and postradiotherapy.7 Additionally, data suggests inferior outcomes in the setting of metastatic, hormone-sensitive prostate cancer8 and CRPC.9 Several studies7,9,10 have highlighted that the presence of the adrenal-permissive HSD3B1(1245C) allele is associated with resistance to ADT, AR signaling agents, and CYP17A1 inhibition. The outcome is largely associated with patients who are homozygous for HSD3B1(1245C) with more variable outcomes for heterozygous patients.11

Across existing studies with sample sizes ranging from 102 to 546 patients, approximately 36% to 42% of patients were heterozygous for the adrenal-permissive HSD3B1(1245C) allele and 6% to 9% were homozygous for the HSD3B1(1245C) allele.6,7,8,9,10,12,13,14 The population frequency of the adrenal-permissive HSD3B1(1245C) allele varies widely by ancestry (34% European, 20% American, 16% South Asian, 9% African, and 8% East Asian).6 Although the HSD3B1(1245C) allele frequency is highest among White men, existing studies have included a very limited number of Black patients. Most established studies did not report on race and of 2 studies that reported on race, 12 of 118 patients (10.2%) in Hearn et al6 (8 homozygous adrenal-restrictive patients, 4 heterozygous patients, and 0 homozygous patients) and 27 of 246 patients (11.0%) in Lu et al9 (27 adrenal-restrictive homozygous or heterozygous patients and 0 homozygous patients) were Black individuals.6,9

The objective of this study was to evaluate the differences in outcomes in men with prostate cancer based on HSD3B1 genetic status. We hypothesized that patients who were homozygous for the adrenal-permissive HSD3B1(1245C) allele would have worse prostate cancer–related survival outcomes. Given the prognostic and potential therapeutic implications of HSD3B1 genetic status on outcomes, we used the large, ethnically diverse Million Veteran Program (MVP) data set to better inform our understanding of HSD3B1 genetic status in patients with prostate cancer.

Methods

Data Source

This retrospective cohort study used data analyzed as part of an MVP research study protocol that was approved by the US Department of Veterans Affairs (VA) central institutional review board, as well as the research and development committees at the San Diego, California VA and Salt Lake City, Utah VA. All participants provided written informed consent and Health Insurance Portability and Accountability Act authorization. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Data on clinical characteristics and demographics for veteran men with prostate cancer were extracted from the Veterans Healthcare Administration (VHA) Corporate Data Warehouse, which includes a cancer registry of patients diagnosed and/or treated for any cancer at any VHA site and specific data products to facilitate research. We used the VA Informatics and Computing Infrastructure Prostate Cancer Data Core to ascertain certain clinical outcomes. Ascertainment of metastases in the Prostate Cancer Data Core was accomplished using a natural language processing algorithm to scan clinical notes and has been previously described elsewhere.15 Cause of death was ascertained through the National Death Index. Patients with a primary cause of death code (C61) were counted as having a prostate cancer–related death for the end point of prostate cancer–specific mortality (PCSM). We used genetic data from the MVP genetic repository.

Study Population

The MVP includes approximately 650 000 individuals. Using the previously described natural language processing methods,15 we extracted data for men who developed incident prostate cancer in the VHA between 2011 and 2023. We limited our cohort to patients diagnosed with prostate cancer after their enrollment in MVP (9291 patients). Patients with missing genotype and clinical information were excluded. Missing demographic information (ie, unknown race and smoking status) is reported in Table 1. Race was self-reported; however, in the MVP database, self-reported Black race is greater than 99% concordant with African ancestry. Participants selected from the following options for race: American Indian or Alaska Native, Asian, Black, Native Hawaiian or Other Pacific Islander, White, and multiple races. Race was assessed to enable investigation of race-based differences by HSD3B1 allele status.

Table 1. Baseline Clinical and Disease Characteristics.

Characteristic Participants, No. (%) (N =5287) P value
HSD3B1 AA (n =2915) HSD3B1 AC (n = 1970) HSD3B1 CC (n = 402)
Self-reported race
American Indian or Alaska Native 20 (0.7) 13 (0.7) <11 (<2.7) <.001
Asian 19 (0.7) <11 (<0.6) 0
Black 1209 (41.5) 339 (17.2) 19 (4.7)
Multiracial <11 (<0.4) <11 (<0.6) 0
Native Hawaiian or Other Pacific Islander 22 (0.8) 16 (0.8) <11 (<2.7)
White 1498 (51.4) 1520 (77.2) 369 (91.8)
Unknown 138 (4.7) 80 (4.1) 12 (3.0)
Age, y
≤60 435 (14.9) 206 (10.5) 29 (7.2) <.001
61-70 1418 (48.6) 879 (44.6) 182 (45.3)
>70 1062 (36.4) 885 (44.9) 191 (47.5)
Smoking history
None 775 (26.6) 547 (27.8) 119 (29.6) .001
Ever 1547 (53.1) 951 (48.3) 182 (45.3)
Unknown 593 (20.3) 472 (24.0) 101 (25.1)
Gleason category
≤6 806 (27.7) 551 (28.0) 95 (23.6) .35
7 1375 (47.2) 929 (47.2) 206 (51.2)
8 355 (12.2) 225 (11.4) 40 (10.0)
≥9 379 (13.0) 265 (13.5) 61 (15.2)
Prostate specific antigen at diagnosis, median (IQR), ng/mLa 4.80 (0.75-7.96) 4.58 (0.66-7.70) 4.22 (0.50-7.91) .23
Metastases at diagnosis 219 (7.5) 150 (7.6) 33 (8.2) .89
Treatment
Any radiation therapy 1663 (57.0) 1110 (56.3) 214 (53.2) .35
Prostatectomy 588 (20.2) 415 (21.1) 86 (21.4) .69
Androgen deprivation therapy within 6 mo of diagnosis 632 (21.7) 425 (21.6) 87 (21.6) >.99

Abbreviations: AA, adrenal-restrictive homozygous; AC, adrenal-restrictive heterozygous; CC, adrenal-permissive homozygous.

a

To convert to micrograms per liter, multiply by 1.

HSD3B1 Genotyping

All study participants provided blood samples for DNA extraction and genotyping. Blood samples were collected and banked at the VA Central Biorepository in Boston, Massachusetts. DNA extracted from buffy coat was genotyped using a custom affymetrix axiom biobank array of 723 305 variants.16 While the details on the quality control and imputation have been described previously,17 briefly, the imputation process used approximately 100 000 multiethnic background, whole genomes available from TopMed and the HSD3B1 allele was imputed with INFO-R2 = 0.98061. HSD3B1 genotype status, which was imputed, was categorized as an ordinal variable with patients classified as adrenal-restrictive homozygous (AA), adrenal-restrictive heterozygous (AC), and adrenal-permissive homozygous (CC).

Study Design and End Points

The primary outcome of this study was PCSM, defined as the time from diagnosis to death from prostate cancer, censored at the date of last VA follow-up or date known to be alive in the VHA medical record. Secondary outcomes included incidence of metastases, defined as the time from diagnosis to metastasis development, censored at the date of last VA follow-up or date known to be alive in the VHA medical record. PCSM was evaluated by HSD3B1 genotype status in the overall cohort and in patients with metastatic disease.

Bias Prevention

We limited our cohort to patients diagnosed with prostate cancer after their enrollment in MVP to avoid survival bias and prevent an overrepresentation of individuals with the AA or AC genotype. Given concern about accuracy of timing of metastatic CRPC (mCRPC) diagnosis date, we did not conduct an analysis looking at rates and time to mCRPC.

Statistical Analysis

We compared distributions of baseline clinical and demographic information using 1-way analysis of variance tests (which compare the means of 2 or more groups to determine if they are significantly different from each other) for continuous variables and χ2 tests for categorical variables to determine if distributions across categories were the same between 2 sets of data. We used the CreateTableOne function in R statistical software version 4.0.3 with the package tableone (R Project for Statistical Computing). Cumulative incidence functions of PCSM were calculated and plotted using the cuminc function in R with the package cmprsk. Cumulative incidences measure the combined number events over a time period while accounting for censoring; they are compared using the Gray test. We used multivariable Cox proportional hazards regressions, which measure associations of 1 or more factors and risk of an event for time to event data, adjusting for HSD3B1 status, age, race, Gleason score, prostate-specific antigen (PSA) level at diagnosis, cancer stage at diagnosis, and treatment to measure associations of HSD3B1 genotypes with outcomes; proportional hazards assumptions were verified using the coxph function in R with the package survival. We created models using 2 different index dates: either date of diagnosis of prostate cancer or date of development of metastases (Table 2). Hazard ratios (HRs) are reported with their 95% CIs and a 2-sided P < .05 was considered significant.

Table 2. Multivariable Cox Regression Analysis Evaluating Variables Associated With Prostate Cancer–Specific Mortality From Time of Diagnosis, Time to Metastasis Development in Patients With Nonmetastatic Disease, and Time From Metastases Development to Death From Prostate Cancer.

Variable Total cohort PCSM (time from diagnosis to prostate cancer death) (n = 5287; events = 91) Time from diagnosis to metastasis (n = 4885; events = 217) Time from metastases to prostate cancer death (n = 619; events = 74)
HR (95% CI) P value HR (95% CI) P value HR (95% CI) P value
HSD3B1 genotype
AA and AC 1 [Reference] NA 1 [Reference] NA 1 [Reference] NA
CC 2.14 (1.20-3.83) .01 1.02 (0.63-1.67) .92 2.48 (1.34-4.58) .004
Self-reported race
Non-Blacka 1 [Reference] NA 1 [Reference] NA 1 [Reference] NA
Blackb 0.77 (0.44-1.35) .36 0.74 (0.53-1.03) .07 0.94 (0.50-1.76) .85
Age (per 5 y) 1.28 (1.08-1.50) .003 1.18 (1.06-1.32) .002 1.23 (1.03-1.47) .02
Gleason score
≤7 1 [Reference] NA 1 [Reference] NA 1 [Reference] NA
8 3.06 (1.54-6.05) .001 2.23 (1.50-3.30) <.001 3.19 (1.35-7.51) .008
9-10 4.96 (2.66-9.23) <.001 4.88 (3.54-6.74) <.001 4.44 (2.02-9.75) <.001
Prostate specific antigen at diagnosis 1.001 (1.000-1.001) <.001 1.015 (1.010-1.020) <.001 1.001 (1.000-1.001) <.001
Stage at diagnosis
Nonmetastatic 1 [Reference] NA 1 [Reference] NA 1 [Reference] NA
Metastatic 11.73 (7.04-19.54) <.001 NA NA NA NA
Treatment
Radiation therapy
None 1 [Reference] NA 1 [Reference] NA 1 [Reference] NA
Any 1.16 (0.74-1.81) .51 0.95 (0.71-1.26) .72 1.24 (0.76-2.05) .39
Androgen deprivation therapy within 6 mo of diagnosis vs no ADT within 6 mo of diagnosis
No 1 [Reference] NA 1 [Reference] NA 1 [Reference] NA
Yes 1.37 (0.85-2.21) .20 1.1 (0.79-1.53) .58 1.16 (0.70-1.93) .56

Abbreviations: AA, adrenal-restrictive homozygous; AC, adrenal-restrictive heterozygous; CC, adrenal-permissive homozygous; HR, hazard ratio; NA, not applicable; PCSM, prostate cancer specific mortality.

a

Non-Black included American Indian or Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, White, multiple races, and unknown.

b

Black race included as a variable because there is a well-described disparity in outcomes among Black patients that has not been seen across other race categories.

Results

Baseline Characteristics

We identified 9291 men with incident prostate cancer after enrollment in the MVP. We excluded 3807 individuals with unknown Gleason scores and 197 individuals with unknown PSA at diagnosis for a final cohort of 5287 patients (median [IQR] age, 69 [64-74] years) (eFigure in Supplement 1). Of the 5287 patients, 1567 participants (29.6%) self-identified as Black, and 3387 (64.1%) self-identified as White. Race categories containing fewer than 11 participants are reported as less than 11 to ensure that patient data remains properly deidentified (Table 1). Among the entire cohort, 402 men (7.6%) had the CC genotype, 1970 men (37.3%) had the AC genotype, and 2915 men (55.1%) had the AA genotype. Among self-identified Black individuals, 19 (1.2%) had the CC genotype, 339 (21.6%) had the AC genotype, and 1209 (77.2%) had the AA genotype. Among self-identified White individuals, 369 (10.9%) had the CC genotype, 1520 (44.9%) had the AC genotype, and 1498 (44.2%) had the AA genotype. Black men were more prominently represented in the AA genotype group than in the AC and CC groups, comprising 41.5% of the AA group (1209 of 2915 participants), 17.2% of the AC group (339 of 1970 participants), and 4.7% of the CC group (19 of 402 participants). Gleason grade, PSA at time of diagnosis, and rates of metastases at diagnoses (AA, 219 of 2915 participants [7.5%]; AC, 150 of 1970 participants [7.6%]; CC, 33 of 402 participants [8.2%]) were not significantly different between genotype groups. Of the 5287 patients, 2987 (56.5%) received radiation therapy while 1089 (20.6%) received prostatectomy. There were no significant differences in the rates of treatments by genotype (Table 1).

Survival Analysis

Over the course of the study period, prostate cancer was the primary cause of death for 91 patients (1.7%). Prostate cancer deaths were significantly higher in patients with the HSD3B1 CC genotype (14 of 402 patients [3.5%]) compared with the HSD3B1 AC (33 of 1970 patients [1.7%]) and AA genotypes (44 of 2915 participants [1.5%]). Of the 5287 patients, 619 (11.7%) developed metastases, and the percentage of patients with metastases at any point was similar between the AA (335 of 2915 patients [11.5%]), AC (232 of 1970 patients [11.8%]), and CC (51 of 402 patients [12.7%]) genotype groups. Metastases within 1 year of diagnosis were found in 219 patients with the AA genotype (7.5%), 150 patients with the AC genotype (7.6%), and 33 patients with the CC genotype (8.2%). A total of 312 patients (5.9%) died from other causes. Non–prostate cancer mortality was similar in all HSD3B1 groups with 171 events in patients with the AA genotype (5.9%), 116 events (5.9%) in patients with the AC genotype, and 25 events (6.2%) in patients with the CC genotype.

Median (IQR) follow-up in the cohort was 4.4 (2.4-6.5) years. The cumulative incidence of PCSM at 5 years after diagnosis of prostate cancer was higher among patients with the HSD3B1 CC genotype (4.0%; 95% CI, 1.7%-6.2%) compared with the AC genotype (2.1%; 95% CI, 1.3%-2.8%) and AA genotype (1.9%; 95% CI, 1.3%-2.4%) (P = .02) (Figure 1). In the subset of patients who were diagnosed with nonmetastatic prostate cancer at diagnosis, cumulative incidence of PCSM was higher in individuals with CC genotypes (1.8%; 95% CI, 0.0%-3.5%) compared with individuals with AA genotypes (0.6%; 95% CI, 0.2%-0.9%) or AC genotypes (0.9%; 95% CI, 0.4%-1.5%) (P = .04). Cumulative incidence of PCSM was similar among genotype groups in individuals with metastatic disease at diagnosis (AA, 21.7% [95% CI, 13.8%-28.9%]; AC, 19.0% [95% CI, 10.3%-26.9%]; CC, 29.9% [95% CI, 9.3%-45.8%]; P = .28) (Figure 2). The cumulative incidence of metastases at 5 years from diagnosis was similar between HSD3B1 genotype groups (AA, 12.3% [95% CI, 10.9%-13.6%]; AC, 11.8% [95% CI, 10.2%-13.4%]; CC, 13.2% [95% CI, 9.6%-16.6%]; P = .79) (Figure 3). In patients who developed metastatic disease at any time, the cumulative incidence of PCSM at 5 years after development of metastases was higher in the HSD3B1 CC genotype group (36.0%; 95% CI, 16.7%-50.8%) compared with the AC genotype group (17.9%; 95% CI, 10.5%-24.7%) and AA genotype group (18.5%; 95% CI, 12.0%-24.6%) (P = .01) (Figure 3).

Figure 1. Cumulative Incidence of Prostate Cancer–Specific Mortality Within HSD3B1 Groups.

Figure 1.

AA indicates the adrenal-restrictive homozygous genotype; AC, the adrenal-restrictive heterozygous genotype; and CC, the adrenal-permissive homozygous genotype.

Figure 2. Cumulative Incidence of Prostate Cancer–Specific Mortality Among Patients With and Without Metastatic Prostate Cancer.

Figure 2.

The figure shows the cumulative incidence of prostate cancer–specific mortality among patients with nonmetastatic prostate cancer at diagnosis (A) and the cumulative incidence of prostate cancer–specific mortality from date of prostate cancer diagnosis among patients with metastatic prostate cancer within 1 year of prostate cancer diagnosis (B). AA indicates the adrenal-restrictive homozygous genotype; AC, the adrenal-restrictive heterozygous genotype; and CC, the adrenal-permissive homozygous genotype.

Figure 3. Cumulative Incidence of Development of Metastases and Prostate Cancer–Specific Mortality Among Patients With Metastatic Prostate Cancer.

Figure 3.

The figure shows the cumulative incidence of development of metastases in patients with nonmetastatic prostate cancer at diagnosis (A) and the cumulative incidence of prostate cancer–specific mortality from time of development of metastases among patients who developed metastases (B). AA indicates the adrenal-restrictive homozygous genotype; AC, the heterozygous genotype; and CC, the adrenal-permissive homozygous genotype.

Multivariable Analysis

We observed higher PCSM in men with the HSD3B1 CC genotype compared with men with the AC or AA genotype (HR, 2.14; 95% CI, 1.20-3.83; P = .01) (Table 2). We found no association of the HSD3B1 CC genotype with development of metastases (HR, 1.02; 95% CI, 0.63-1.67, P = .92); however, in patients who developed metastatic disease at any time, the HSD3B1 CC genotype was associated with worse PCSM from time of metastases (HR, 2.48; 95% CI, 1.34-4.58; P = .004). Other variables associated with PCSM included age at diagnosis, Gleason score at diagnosis, PSA at diagnosis, and presence of metastases at diagnosis. These variables were also associated with shorter time to metastases and time from metastases to death. In this cohort, Black race was not associated with worse PCSM from time of diagnosis, time from diagnosis to metastases, or time from metastases to death from prostate cancer. Subset analysis in Black men could not be performed due to small sample size.

Discussion

In this cohort study, we investigated the association of HSD3B1 genotype status with outcomes in a large cohort of men with prostate cancer who were receiving care in the VA health care system and underwent germline genotyping in the MVP. Our findings suggest the HSD3B1 CC genotype is associated with inferior PCSM among all patients and in individuals who develop metastatic disease. Additionally, we found that the HSD3B1 CC genotype is less common in Black men than in White men. To our knowledge, this is the largest study to date investigating the prognostic significance of HSD3B1 genotype status in prostate cancer within a racially heterogeneous patient population.

We have demonstrated that men who are homozygous for the HSD3B1 adrenal-permissive CC genotype have worse PCSM compared with those with adrenal-restrictive homozygous (AA) or heterozygous (AC) genotypes. Our findings are consistent with other studies that have investigated the prognostic significance of HSD3B1 in prostate cancer.6,7,12 Hearn and colleagues6 were early investigators of patient outcomes by HSD3B1 genotype status in men who had received treatment with ADT.18 Those with the HSD3B1 CC genotype demonstrated worse progression-free survival, distant metastasis-free survival, and overall survival as a function of the number of adrenal-permissive alleles inherited in a primary cohort of 443 patients postprostatectomy and in 2 validation cohorts (post-prostatectomy and metastatic).

The function of HSD3B1 is critically relevant in the setting of androgen deprivation. In the absence of ADT, androgen supply is dominated by testicular synthesis and secretion of testosterone and DHT. With pituitary-gonadal axis suppression by ADT, circulating levels of testosterone and DHT decline dramatically; however, tumor growth can persist through persistent exposure of the prostate to intratumoral androgens derived from either adrenocortical precursor steroids or de novo synthesis from cholesterol.18 In 2013, Chang and colleagues4 identified that a minor allele in HSD3B1 conferred a novel resistance mechanism to ADT. 3β-HSD1 catalyzes the irreversible and rate-limiting step of DHEA conversion to androstenedione.4 DHEA itself has no androgenic effect given its low affinity for the AR.19 However, the adrenal-permissive allele HSD3B1(1245C) encodes for a stable enzyme, resistant to ubiquitination and proteosome degradation, resulting in more robust DHEA-sulfate conversion to the more potent androgens (testosterone and DHT).4

To investigate the prognostic significance of HSD3B1 among individuals likely to be receiving ADT, we evaluated outcomes by HSD3B1 status in a cohort of 619 men with prostate cancer who developed metastases. In this subgroup, men with the HSD3B1 CC genotype had significantly worse PCSM compared with men with the AC or AA genotype. Interestingly, the prognostic significance of the HSD3B1 adrenal-permissive genotype is relevant to other hormonally driven tumors, including estrogen receptor-positive breast cancer, human epidermal growth factor receptor–negative breast cancer, and endometrial cancer, which may potentially be associated with promoting androstenedione conversion to estrone by aromatase, thereby contributing to worse clinical outcomes.20

Subsequent studies10 have evaluated the prognostic role of the HSD3B1 genotype CC in patients receiving abiraterone or enzalutamide in CRPC. One of the largest studies by Khalaf et al10 included 547 men with mCRPC treated with abiraterone or enzalutamide, of whom 15% harbored the HSD3B1 CC genotype. The study included a predominately docetaxel-naive cohort (cohort 1) and a docetaxel-pretreated cohort (cohort 2). Compared with patients with the HSD3B1 AA or CC genotype, patients with the CC genotype demonstrated lower PSA response rates and shorter time to progression with abiraterone or enzalutamide in both cohorts; however, shorter overall survival was observed only in the docetaxel-naive cohort.10 Lu et al9 evaluated the outcomes of 266 patients with mCRPC treated with abiraterone or enzalutamide, of whom 8.3% had the HSD3B1 CC genotype. While they did not demonstrate a difference in PSA outcomes and treatment duration with abiraterone or enzalutamide, overall survival was shorter in patients with the CC genotype.9 These 2 studies9,10along with other published studies relay a consistent message that clinical outcomes are worse among individuals with the HSD3B1 CC genotype.

Several studies21,22,23 have investigated the mechanistic underpinning behind HSD3B1 resistance. Because abiraterone is metabolized by 3β-HSD1, the HSD3B1 genetic switch can increase or reduce the degradation and metabolism of abiraterone, thereby regulating its therapeutic effect.23 Furthermore, Mei and colleagues23 demonstrated that 3β-HSD1 impairs enzalutamide action through enhanced steroidogenesis of potent androgens in addition to promoting metabolism of abiraterone and reducing drug concentration and effectiveness. In their study,23 genetically augmented 3β-HSD1 activity upregulated accumulation of intratumor DHT that possesses a substantially higher affinity for AR compared with the weaker affinity of enzalutamide. The competitive kinetics favor DHT preferentially binding to AR over enzalutamide, diminishing its antagonism of AR. Given the implications of HSD3B1 in promoting resistance, there is rationale to support therapeutic targeting through 3β-HSD1 inhibition and other therapies targeting the androgen-receptor axis.

Our study underscores the race-related differences in HSD3B1 genetics. Our cohort included a large population of Black men genotyped for HSD3B1 (1567 patients). Only 19 Black patients (1.2%) had the HSD3B1 CC genotype, compared with 383 White patients (10.3%). The small number of Black patients precluded subset analyses by race. Several studies24,25 suggest that abiraterone is associated with improved prostate cancer outcomes among Black patients compared with non-Hispanic White men. It is plausible to hypothesize that differences in HSD3B1 among racial groups could partially explain these observations, although further studies are warranted.

Our multivariable analysis demonstrated a significant association of HSD3B1 genotype with PCSM. Known prognostic factors including Gleason score, PSA at diagnosis, and stage at diagnosis were also associated with PCSM. We also demonstrated that increasing age was associated with worse outcomes. Consistent with other analyses from the VA health care system26,27 (where access to care is more consistent), Black race was not associated with worse outcomes in our study. Future research tracking PSA before and after ADT to assess response based on HSD3B1 genotype are needed.

Limitations

Although this is, to our knowledge, the largest, most racially diverse cohort to date investigating the association of the HSD3B1 genotype in men with prostate cancer, there are several limitations. All patients included in the database were veterans of the US military, which could decrease study generalizability. Although our study included a large cohort of Black men, the proportion of Black patients with the HSD3B1 CC genotype was small, precluding subset analyses by race. We attempted to capture prostate cancer–related deaths with the end point of PCSM, which may be subject to cause of death misattributions. In addition, we could not consistently capture use and duration of ADT or other androgen receptor signaling inhibitors, including abiraterone, enzalutamide, apalutamide, and darolutamide. We did not investigate PSA changes following ADT by HSD3B1 genotype status. Our analysis only analyzed inherited germline variants in HSD3B1 and did not investigate somatically acquired variants.

Conclusions

In this cohort study of US veterans undergoing treatment for prostate cancer in the VA health care system who had undergone germline genotyping, we investigated the association of HSD3B1 genotype status with outcomes. We found that patients homozygous for the HSD3B1 adrenal-permissive CC genotype had worse PCSM. Additionally, our findings highlight the higher prevalence of the AA and AC genotype among Black men as compared with White men. Our study adds to growing evidence of the prognostic importance of HSD3B1 and provides further support for therapeutic targeting of this pathway.

Supplement 1.

eFigure. Cohort Selection

Supplement 2.

Data Sharing Statement

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Associated Data

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

Supplementary Materials

Supplement 1.

eFigure. Cohort Selection

Supplement 2.

Data Sharing Statement


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