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Details

Autor(en) / Beteiligte
Titel
Next-generation sequencing based detection of BRCA1 and BRCA2 large genomic rearrangements in Chinese cancer patients
Ist Teil von
  • Frontiers in oncology, 2022-09, Vol.12, p.898916-898916
Ort / Verlag
Frontiers Media S.A
Erscheinungsjahr
2022
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • BRCA1/2 mutation is a biomarker for guiding multiple solid tumor treatment. However, the prevalence of BRCA1/2 large genomic rearrangements (LGRs) in Chinese cancer patients has not been well revealed partially due to technical difficulties in LGR detection. This study utilized next-generation sequencing (NGS) to analyze the BRCA1/2 mutation profile, including LGR, in 56126 Chinese cancer patients. We also reported that two ovarian and breast cancer patients with NGS-determined BRCA1/2 LGR benefited from PARP inhibitors (PARPi). DNA sequencing identified BRCA1/2 variants (including LGR, pathogenic and likely-pathogenic variants) in 2108 individuals. Seventy patients were discovered to harbor germline LGRs in BRCA1 and 14 had germline LGRs in BRCA2 . Among the LGRs detected, exon 1-2 deletion was the predominant LGR (14/70) in BRCA1 , and exon 22-24 deletion was the most frequent LGR (3/14) in BRCA2 . Notably, the BRCA1 exon 7 deletion was a novel LGR and was identified in six patients, suggesting a specific LGR in Chinese cancer patients. The prevalence analysis of BRCA1 and BRCA2 LGRs across multiple cancers revealed that BRCA1 LGR more frequently occurred in ovarian cancer (1.31%, 33/2526), and BRCA2 LGR was more commonly seen in cholangiocarcinoma (0.47%, 2/425). Two ovarian and breast cancer patients with BRCA1/2 LGR benefited from PARPi therapy. This is the first study to reveal the BRCA1/2 LGR profile of a Chinese pan-cancer cohort by using an NGS-based assay. Two breast and ovarian cancer patients harboring NGS-determined BRCA1/2 LGR benefited from PARPi, indicating that NGS-based detection of BRCA1/2 LGR has the potential to guide PARPi treatment.
Sprache
Englisch
Identifikatoren
ISSN: 2234-943X
eISSN: 2234-943X
DOI: 10.3389/fonc.2022.898916
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_16071a2e500346ffa6958f8051452cd3

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