Investigator

Noriko Tanabe

National Cancer Center Hospital East

NTNoriko Tanabe
Papers(2)
Multi‐gene panel anal…Pathogenic Germline V…
Collaborators(10)
Makoto HirataTakaaki MizunoTakafumi KoyamaTatsuya YoshidaTeruhiko YoshidaTomoyuki SatakeYuki KatsuyaHiromi SakamotoJun SatoMariko Nakahara
Institutions(1)
National Cancer Cente…

Papers

Multi‐gene panel analysis in BRCA1/2 ‐negative patients suspected of hereditary breast and ovarian cancer syndrome: Real‐world data from a single institution

Abstract Aim Although BRCA1/2 is most frequently associated with hereditary breast and ovarian cancer (HBOC), many other related genes have been implicated. Therefore, we investigated the prevalence of non‐ BRCA1/2 genes associated with hereditary cancer predisposition in BRCA1 /2‐negative patients from the Department of Genetic Medicine and Services with breast and ovarian cancer using a multi‐gene panel (MGP) analysis. Methods We conducted a retrospective MGP analysis (National Cancer Center Onco‐Panel for Familial Cancer; NOP_FC) in BRCA1/2 ‐negative patients with breast, ovarian, and overlapping breast/ovarian cancers who visited our genetic counseling between April 2004 and October 2022. Results NOP_FC was performed in 128 of the 390 BRCA test‐negative cases (117 breast cancer, 9 ovarian cancer, and 2 overlapping breast/ovarian cancer cases). Among the BRCA1/2 ‐negative patients, nine (7.7%) with breast cancer and one (11%) with ovarian cancer had pathogenic variants (PVs) in non‐ BRCA1/2 genes associated with breast and ovarian cancers, respectively. Five patients had PVs in RAD51D , two in PALB2 , one in BARD1 , one in ATM , and one in RAD51C . Conclusions Additional MGP testing of germline genes associated with hereditary cancer predisposition syndrome in BRCA1/2 ‐negative breast and ovarian cancer patients revealed PVs in non‐ BRCA1/2 breast cancer‐ and ovarian cancer‐related genes in 7.7% of breast cancer and 11% of ovarian cancer. Therefore, additional testing may provide useful information for subsequent risk‐reducing surgery and surveillance in BRCA1/2 ‐negative patients.

Pathogenic Germline Variants in BRCA1/2 and p53 Identified by Real-world Comprehensive Cancer Genome Profiling Tests in Asian Patients

Abstract Cancer genome profiling (CGP) occasionally identifies pathogenic germline variants (PGV) in cancer susceptibility genes (CSG) as secondary findings. Here, we analyzed the prevalence and clinical characteristics of PGVs based on nationwide real-world data from CGP tests in Japan. We analyzed the genomic information and clinical characteristics of 23,928 patients with solid cancers who underwent either tumor-only (n = 20,189) or paired tumor-normal (n = 3,739) sequencing CGP tests between June 2019 and December 2021 using the comprehensive national database. We assigned clinical significance for all variants and highlighted the prevalence and characteristics of PGVs. Our primary analysis of the tumor-normal sequencing cohort revealed that 152 patients (4.1%) harbored PGVs in 15 CSGs. Among 783 germline variants, 113 were annotated as PGVs, 70 as benign variants, and 600 as variants of uncertain significance. The number of PGVs identified was highest in BRCA1/2, with 56, followed by TP53, with 18. PGVs were the most prevalent in ovarian and peritoneal cancers, including among cancer types common in Asia. In the tumor-only sequencing cohort, of the 5,184 pathogenic somatic variants across 26 CSGs, 784 (15.1%) were extracted according to the European Society for Medical Oncology recommendations for germline-focused tumor analysis. The prevalence of PGVs was similar to that previously reported in Europe and the United States. This is the largest analysis based on real-world tumor-normal sequencing tests in Asia. The more widespread use of the tumor-normal sequencing CGP test could be reasonable for evaluating PGVs. Significance: We analyzed real-world data from over 23,000 patients in Japan, revealing 4.1% harbored PGVs, particularly in BRCA1/2 and TP53, in CSGs. It highlights the prevalence of PGVs in Asian populations and supports the broader adoption of tumor-normal sequencing CGP tests for PGV evaluation.

2Papers
14Collaborators