Cell-free DNA sequencing sheds additional insights on BRCA-altered metastatic castration-resistant prostate cancer.
Cell-free DNA sequencing sheds additional insights on BRCA-altered metastatic castration-resistant prostate cancer.
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DOI:
10.1016/j.ebiom.2023.104756
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发表时间:
2023-09
期刊:
影响因子:
11.1
通讯作者:
Tran PT
中科院分区:
文献类型:
--
作者:
Bazyar S;Sutera P;Deek MP;Marshall CH;Tran PT
Cancer of the prostate is the most common cancer occurring in men in the US. Despite advances in diagnosis and management, more than 34,000 men continue to die of prostate cancer each year in the United States. 1 Androgen deprivation therapy (ADT) has been the standard of care for initial management of advanced or metastatic prostate cancer since Huggins and Hodges first introduced the concept of androgendependence. However, progression to metastatic castration-resistant prostate cancer (mCRPC) inevitably occurs after prolonged ADT. Tremendous progress has been made in the treatment of mCRPC in the form of life prolonging approved therapies, among them, taxanes and androgen receptor pathway inhibitors (ARPIs). 2 Importantly, genomic studies of mCRPC have identified potentially actionable recurrent genomic aberrations. Loss-of-function alterations in DNA damage response (DDR) genes have been observed in greater than 20–25% of cases, most commonly defects in BRCA genes and other homologous recombination-mediated DNA damage response (HR-DDR) genes. 3 In 2020, the FDA authorized two PARP inhibitor (PARPi) agents, olaparib and rucaparib, for the treatment of individuals with mCRPC who harbor genetic abnormalities affecting HR-DDR, following positive oncological outcomes in randomized clinical trials. 4, 5 Thus, molecular selection for PARPi treatment is currently the standard of care for mCRPC but less is known about the role of these gene mutations in clinical outcomes following non-PARPi treatment regimens. Recent clinical studies have also revealed that PARPi in combination with ARPIs in the first line setting can improve outcomes compared to PARPi alone, particularly in BRCA-mutated patients, leading to FDA approval of this combination in the mCRPC first-line setting for HRDDR molecular subsets. 6 Thus, easily identifying BRCA-deficiency and other potential targetable cooccurring genomic alterations in mCRPC is now of great importance.Fettke and colleagues in this issue of eBioMedicine provide some additional insights into the landscape of DDR defects in mCRPC analyzing liquid biopsy and germline samples from a total of 375 men from the US and Australia using the CLIA-certified PredicineCARE™ cell-free DNA (cfDNA) panel assay which targets sequencing of 152 cancer driver genes including 27 individual DDR genes. 7 From the 34% of the total cohort that exhibited DDR alterations, consistent with other studies, the most common altered gene was BRCA2 (17%). Also consistent with some previous reports in BRCA2 mutated mCRPC, clinical outcomes including PSA response, PFS and OS were found to be inferior with ARPI treatments. 3, 6 The most interesting finding from this predominantly cfDNA retrospective study, was that further genomic analysis indicated that identification of any pathogenic anomaly rather than specific BRCA2 zygosity status (mono-or bi-allelic alterations) in cfDNA was indicative of poor clinical outcomes. This is interesting because previous data have suggested that bi-allelic BRCA altered mCRPC patients, particularly those with homozygous or bi-allelic BRCA2 deletion, exhibited the most clinical benefit from PARPi. In contradistinction, previous studies have demonstrated that PARPi responses are rarely observed in patients without bi-allelic inactivating alterations in HRDRR genes. 4, 8, 9 Whether this discrepancy is simply the difference between prognostic and predictive biomarker associations or some more interesting foundational biological difference remains to be determined. Also, more research clearly needs to be performed to understand the …
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影响因子:
28.2
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de Bono, Johann S.
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影响因子:
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作者:
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通讯作者:
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影响因子:
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作者:
Fettke, Heidi;Dai, Chao;Kwan, Edmond M.;Zheng, Tiantian;Du, Pan;Ng, Nicole;Bukczynska, Patricia;Docanto, Maria;Kostos, Louise;Foroughi, Siavash;Brown, Stephen;Graham, Lisa-Jane K.;Mahon, Kate;Horvath, Lisa G.;Jia, Shidong;Kohli, Manish;Azad, Arun A.
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