Integrating aggressive variant prostate cancer–associated tumor suppressor genes (AVPC-TSG) status to refine prognosis and predict androgen-receptor pathway inhibitors (ARPI) response in metastatic hormone-sensitive prostate cancer (mHSPC).

243 Background: Alterations in AVPC-TSG (TP53, RB1, PTEN) are related with androgen insensitivity and aggressive disease. However, their role in mHSPC prognosis and treatment guidance is unclear. This retrospective study assesses the value of AVPC-TSG alterations in refining prognosis and predicting ARPI benefit in mHSPC. Methods: We included 158 mHSPC patients with available genomic tumor sequencing analysis undergoing treatment between 2013 and 2023. We compared patients with AVPC-TSGalt tumors (defined by ≥1 alterations in the TP53 gene, RB1 gene, or PTEN/PI3K/AKT pathway genes) to those without (AVPC-TSGwt tumors). Cox analyses were performed for progression-free survival (PFS) and overall survival (OS). Results: AVPC-TSGwt status was associated with improved PFS and OS in both univariate and multivariate (MV) analyses (MV PFS: HR 0.58, p=0.012; MV OS: HR 0.48, p=0.025). AVPC-TSGalt mHSPC patients seemed to derive no PFS benefit (PFS: HR 1.13, p=0.721) from the addition of an ARPI to ADT, while AVPC-TSGwt mHSPC patients did (PFS: HR 0.51, p=0.029). Integrating AVPC-TSG status with CHAARTED volume criteria enhanced prognostic and predictive discrimination in mHSPC. Three distinct subgroups were identified: "good-risk" (AVPC-TSGwt and low-volume), "intermediate-risk" (either AVPC-TSGalt or high-volume), and "poor-risk" (AVPC-TSGalt and high-volume) with median PFS of 46.8, 28.2, and 15.7 months, respectively. Among them, only the "intermediate-risk" subgroup seemed to derive PFS benefit (HR 0.36, p=0.002) from addition of an ARPI. Conclusions: Integrating AVPC-TSG status with clinical prognostic variables refines prognostication and may predict PFS benefits from the addition of an ARPI in patients with mHSPC. Patients with AVPC-TSGalt mHSPC should be considered for clinical trials exploring alternative treatments, as they may not benefit from current standard approaches. Patient characteristics. AVPC-TSGaltn=63(39.9%) AVPC-TSGwtn=95(60.1%) p-value mHSPC treatmentADT aloneADT+ARPIADT+DocetaxelADT+ARPI+Docetaxel 23(36.5%)28(44.5%)8(12.7%)4(6.3%) 32(33.6%)49(51.6%)7(7.4%)7(7.4%) p=0.64 1 De Novo disease 43(68.3%) 57 (60%) p=0.29 1 CHAARTED High Volume 36(57.1%) 52(54.7%) p=0.77 1 AVPC-TSG 1 altAVPC-TSG 2-3 alt 56(88.9%)7(11.1%) 00 p<0.012 1 median PFS (months)median OS (months) 20.568.2 39.6NR p=0.010 2 1 Pearson, 2 Log-rank test.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2025-02-10
DOI
https://doi.org/10.1200/jco.2025.43.5_suppl.243
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating aggressive variant prostate cancer–associated tumor suppressor genes (AVPC-TSG) status to refine prognosis and predict androgen-receptor pathway inhibitors (ARPI) response in metastatic hormone-sensitive prostate cancer (mHSPC).

Sara Merler, Silke Gillessen, Jean‐Philippe Theurillat, Fabio Turco et al.
1 links
Journal of Clinical Oncology
Prostate Cancer Treatment and Research
article

Integrating aggressive variant prostate cancer–associated tumor suppressor genes (AVPC-TSG) status to refine prognosis and predict androgen-receptor pathway inhibitors (ARPI) response in metastatic hormone-sensitive prostate cancer (mHSPC).

Sara Merler, Silke Gillessen, Jean‐Philippe Theurillat, Fabio Turco, Martino Pedrani, Ricardo Pereira Mestre, Carlo Clerici, Irene Testi, Luís Castelo-Branco, Luigi Tortola, Giuseppe Salfi, Ursula Vogl
article en

Abstract

243 Background: Alterations in AVPC-TSG (TP53, RB1, PTEN) are related with androgen insensitivity and aggressive disease. However, their role in mHSPC prognosis and treatment guidance is unclear. This retrospective study assesses the value of AVPC-TSG alterations in refining prognosis and predicting ARPI benefit in mHSPC. Methods: We included 158 mHSPC patients with available genomic tumor sequencing analysis undergoing treatment between 2013 and 2023. We compared patients with AVPC-TSGalt tumors (defined by ≥1 alterations in the TP53 gene, RB1 gene, or PTEN/PI3K/AKT pathway genes) to those without (AVPC-TSGwt tumors). Cox analyses were performed for progression-free survival (PFS) and overall survival (OS). Results: AVPC-TSGwt status was associated with improved PFS and OS in both univariate and multivariate (MV) analyses (MV PFS: HR 0.58, p=0.012; MV OS: HR 0.48, p=0.025). AVPC-TSGalt mHSPC patients seemed to derive no PFS benefit (PFS: HR 1.13, p=0.721) from the addition of an ARPI to ADT, while AVPC-TSGwt mHSPC patients did (PFS: HR 0.51, p=0.029). Integrating AVPC-TSG status with CHAARTED volume criteria enhanced prognostic and predictive discrimination in mHSPC. Three distinct subgroups were identified: "good-risk" (AVPC-TSGwt and low-volume), "intermediate-risk" (either AVPC-TSGalt or high-volume), and "poor-risk" (AVPC-TSGalt and high-volume) with median PFS of 46.8, 28.2, and 15.7 months, respectively. Among them, only the "intermediate-risk" subgroup seemed to derive PFS benefit (HR 0.36, p=0.002) from addition of an ARPI. Conclusions: Integrating AVPC-TSG status with clinical prognostic variables refines prognostication and may predict PFS benefits from the addition of an ARPI in patients with mHSPC. Patients with AVPC-TSGalt mHSPC should be considered for clinical trials exploring alternative treatments, as they may not benefit from current standard approaches. Patient characteristics. AVPC-TSGaltn=63(39.9%) AVPC-TSGwtn=95(60.1%) p-value mHSPC treatmentADT aloneADT+ARPIADT+DocetaxelADT+ARPI+Docetaxel 23(36.5%)28(44.5%)8(12.7%)4(6.3%) 32(33.6%)49(51.6%)7(7.4%)7(7.4%) p=0.64 1 De Novo disease 43(68.3%) 57 (60%) p=0.29 1 CHAARTED High Volume 36(57.1%) 52(54.7%) p=0.77 1 AVPC-TSG 1 altAVPC-TSG 2-3 alt 56(88.9%)7(11.1%) 00 p<0.012 1 median PFS (months)median OS (months) 20.568.2 39.6NR p=0.010 2 1 Pearson, 2 Log-rank test.

Journal of Clinical OncologyVol. 43(5_suppl)
Institute of Oncology Research (CH)
Openalex Percentile: Top 96%
Prostate Cancer Treatment and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.