Genomic landscape of advanced prostate cancer patients with BRCA1 versus BRCA2 mutations as detected by comprehensive genomic profiling of cell-free DNA

Copyright © 2022 Swami, Zimmerman, Nussenzveig, Hernandez, Jo, Sayegh, Wesolowski, Kiedrowski, Barata, Lemmon, Bilen, Heath, Nandagopal, Babiker, Pal, Lilly, Maughan, Haaland, Yandell, Sartor and Agarwal..

BRCA1-mutated prostate cancer has been shown to be less responsive to poly (ADP-ribose) polymerase (PARP) inhibitors as compared to BRCA2-mutated prostate cancer. The reason for this differential response is not clear. We hypothesized this differential sensitivity to PARP inhibitors may be explained by distinct genomic landscapes of BRCA1 versus BRCA2 co-segregating genes. In a large dataset of 7,707 men with advanced prostate cancer undergoing comprehensive genomic profiling (CGP) of cell-free DNA (cfDNA), 614 men harbored BRCA1 and/or BRCA2 alterations. Differences in the genomic landscape of co-segregating genes was investigated by Fisher's exact test and probabilistic graphical models (PGMs). Results demonstrated that BRCA1 was significantly associated with six other genes, while BRCA2 was not significantly associated with any gene. These findings suggest BRCA2 may be the main driver mutation, while BRCA1 mutations tend to co-segregate with mutations in other molecular pathways contributing to prostate cancer progression. These hypothesis-generating data may explain the differential response to PARP inhibition and guide towards the development of combinatorial drug regimens in those with BRCA1 mutation.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Frontiers in oncology - 12(2022) vom: 01., Seite 966534

Sprache:

Englisch

Beteiligte Personen:

Swami, Umang [VerfasserIn]
Zimmerman, Raquel Mae [VerfasserIn]
Nussenzveig, Roberto H [VerfasserIn]
Hernandez, Edgar Javier [VerfasserIn]
Jo, Yeonjung [VerfasserIn]
Sayegh, Nicolas [VerfasserIn]
Wesolowski, Sergiusz [VerfasserIn]
Kiedrowski, Lesli A [VerfasserIn]
Barata, Pedro C [VerfasserIn]
Lemmon, Gordon Howard [VerfasserIn]
Bilen, Mehmet A [VerfasserIn]
Heath, Elisabeth I [VerfasserIn]
Nandagopal, Lakshminarayan [VerfasserIn]
Babiker, Hani M [VerfasserIn]
Pal, Sumanta K [VerfasserIn]
Lilly, Michael [VerfasserIn]
Maughan, Benjamin L [VerfasserIn]
Haaland, Benjamin [VerfasserIn]
Yandell, Mark [VerfasserIn]
Sartor, Oliver [VerfasserIn]
Agarwal, Neeraj [VerfasserIn]

Links:

Volltext

Themen:

Advanced prostate cancer
BRCA1 vs. BRCA2 landscape by cfDNA BRCA1
BRCA2
CtDNA
Journal Article
Machine learning

Anmerkungen:

Date Revised 02.03.2024

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.3389/fonc.2022.966534

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM347006957