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Poster display session

4293 - Identification of germline mutation using 30-gene sequencing and clinical characteristic of Chinese with hereditary breast cancer


11 Sep 2017


Poster display session


Ava Kwong


Annals of Oncology (2017) 28 (suppl_5): v22-v42. 10.1093/annonc/mdx363


A. Kwong1, V. Shin2, C. Au3, T. Chan3, E. Ma3

Author affiliations

  • 1 Surgery, The University of Hong Kong, NA - Pokfulam/HK
  • 2 Surgery, The University of Hong Kong, Pokfulam/HK
  • 3 Molecular Pathology, Hong Kong Sanatorium & Hospital, Happy Valley/HK


Abstract 4293


With the recent discovery of other breast cancer susceptibility genes (e.g. CDH1, ATM, CHEK2, PALB2, RAD50), molecular diagnosis of hereditary breast and ovarian cancers (HBOC) using multigene panels could help to identify other moderate/low penetrance genes in patients who tested negative for BRCA mutation. However, the clinical management of these cancer predisposition genes have not been clearly defined, therefore only BRCA1 and BRCA2 are routinely included in the genetic screening. In view of the differences in the mutation spectrum across ethnicity, it is important to identify other HBOC genes to estimate the associated breast cancer risk in Chinese.


High-risk breast cancer patients who were negative for BRCA1, BRCA2, TP53 and PTEN were selected from the Hong Kong Hereditary Breast Cancer Family Registry between 2007-2016. In the study, 745 patients were subjected to 30-gene panel by next-generation sequencing (Color Genomics). All detected pathogenic mutations were further validated by bi-directional DNA sequencing. The sequencing data was co-analyzed by our in-house developed bioinformatics pipeline.


Thirty-five pathogenic variants were identified in this series (4.7%), which correspond to 11 different cancer predisposition genes. Majority of the carriers (74.29%) had early-onset of breast cancer (age


Our findings suggested that detection of PALB2 should be included in the genetic test panel in Chinese with breast cancer. Multigene panel testing is an efficient tool in the diagnosis of HBOC, this could help patients to understand the cancer risk and aid the development of effective treatments.

Clinical trial identification

Legal entity responsible for the study

Ava Kwong




All authors have declared no conflicts of interest.

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