Literature DB >> 34203389

Targeted Sequencing of Taiwanese Breast Cancer with Risk Stratification by the Concurrent Genes Signature: A Feasibility Study.

Ching-Shui Huang1,2, Chih-Yi Liu3, Tzu-Pin Lu4, Chi-Jung Huang5,6, Jen-Hwey Chiu7,8, Ling-Ming Tseng8,9, Chi-Cheng Huang9,10.   

Abstract

Breast cancer is the most common female malignancy in Taiwan, while conventional clinical and pathological factors fail to provide full explanation for prognostic heterogeneity. The aim of the study was to evaluate the feasibility of targeted sequencing combined with concurrent genes signature to identify somatic mutations with clinical significance. The extended concurrent genes signature was based on the coherent patterns between genomic and transcriptional alterations. Targeted sequencing of 61 Taiwanese breast cancers revealed 1036 variants, including 76 pathogenic and 545 likely pathogenic variants based on the ACMG classification. The most frequently mutated genes were NOTCH, BRCA1, AR, ERBB2, FANCA, ATM, and BRCA2 and the most common pathogenic deletions were FGFR1, ATM, and WT1, while BRCA1 (rs1799965), FGFR2 (missense), and BRCA1 (rs1799949) were recurrent pathogenic SNPs. In addition, 38 breast cancers were predicted into 12 high-risk and 26 low-risk cases based on the extended concurrent genes signature, while the pathogenic PIK3CA variant (rs121913279) was significantly mutated between groups. Two deleterious SH3GLB2 mutations were further revealed by multivariate Cox's regression (hazard ratios: 29.4 and 16.1). In addition, we identified several significantly mutated or pathogenic variants associated with differentially expressed signature genes. The feasibility of targeted sequencing in combination with concurrent genes risk stratification was ascertained. Future study to validate clinical applicability and evaluate potential actionability for Taiwanese breast cancers should be initiated.

Entities:  

Keywords:  Taiwan; actionable mutations; breast cancer; concurrent genes; risk stratification; targeted sequencing

Year:  2021        PMID: 34203389     DOI: 10.3390/jpm11070613

Source DB:  PubMed          Journal:  J Pers Med        ISSN: 2075-4426


  39 in total

1.  Next-generation sequencing: methodology and application.

Authors:  Ayman Grada; Kate Weinbrecht
Journal:  J Invest Dermatol       Date:  2013-08       Impact factor: 8.551

2.  Routine use of the Ion Torrent AmpliSeq™ Cancer Hotspot Panel for identification of clinically actionable somatic mutations.

Authors:  Gregory J Tsongalis; Jason D Peterson; Francine B de Abreu; Christopher D Tunkey; Torrey L Gallagher; Linda D Strausbaugh; Wendy A Wells; Christopher I Amos
Journal:  Clin Chem Lab Med       Date:  2014-05       Impact factor: 3.694

Review 3.  Pharmacogenomics in the clinic.

Authors:  Mary V Relling; William E Evans
Journal:  Nature       Date:  2015-10-15       Impact factor: 49.962

4.  OncoKB: A Precision Oncology Knowledge Base.

Authors:  Debyani Chakravarty; Jianjiong Gao; Sarah M Phillips; Ritika Kundra; Hongxin Zhang; Jiaojiao Wang; Julia E Rudolph; Rona Yaeger; Tara Soumerai; Moriah H Nissan; Matthew T Chang; Sarat Chandarlapaty; Tiffany A Traina; Paul K Paik; Alan L Ho; Feras M Hantash; Andrew Grupe; Shrujal S Baxi; Margaret K Callahan; Alexandra Snyder; Ping Chi; Daniel Danila; Mrinal Gounder; James J Harding; Matthew D Hellmann; Gopa Iyer; Yelena Janjigian; Thomas Kaley; Douglas A Levine; Maeve Lowery; Antonio Omuro; Michael A Postow; Dana Rathkopf; Alexander N Shoushtari; Neerav Shukla; Martin Voss; Ederlinda Paraiso; Ahmet Zehir; Michael F Berger; Barry S Taylor; Leonard B Saltz; Gregory J Riely; Marc Ladanyi; David M Hyman; José Baselga; Paul Sabbatini; David B Solit; Nikolaus Schultz
Journal:  JCO Precis Oncol       Date:  2017-05-16

5.  Correlation of microarray-based breast cancer molecular subtypes and clinical outcomes: implications for treatment optimization.

Authors:  Kuo-Jang Kao; Kai-Ming Chang; Hui-Chi Hsu; Andrew T Huang
Journal:  BMC Cancer       Date:  2011-04-18       Impact factor: 4.430

Review 6.  Grb7, a Critical Mediator of EGFR/ErbB Signaling, in Cancer Development and as a Potential Therapeutic Target.

Authors:  Pei-Yu Chu; Yu-Ling Tai; Tang-Long Shen
Journal:  Cells       Date:  2019-05-10       Impact factor: 6.600

7.  Residual risk stratification of Taiwanese breast cancers following curative therapies with the extended concurrent genes signature.

Authors:  Ching-Shui Huang; Tzu-Pin Lu; Chih-Yi Liu; Chi-Jung Huang; Jen-Hwey Chiu; Yen-Jen Chen; Ling-Ming Tseng; Chi-Cheng Huang
Journal:  Breast Cancer Res Treat       Date:  2021-01-03       Impact factor: 4.872

8.  Concurrent gene signatures for han chinese breast cancers.

Authors:  Chi-Cheng Huang; Shih-Hsin Tu; Heng-Hui Lien; Jaan-Yeh Jeng; Ching-Shui Huang; Chi-Jung Huang; Liang-Chuan Lai; Eric Y Chuang
Journal:  PLoS One       Date:  2013-10-03       Impact factor: 3.240

9.  Multiclass prediction with partial least square regression for gene expression data: applications in breast cancer intrinsic taxonomy.

Authors:  Chi-Cheng Huang; Shih-Hsin Tu; Ching-Shui Huang; Heng-Hui Lien; Liang-Chuan Lai; Eric Y Chuang
Journal:  Biomed Res Int       Date:  2013-12-30       Impact factor: 3.411

10.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

View more
  1 in total

1.  Variable Drug-Target Exposure, Tumor Signatures, and Combinatorial Targeted Treatment: Approaches of Personalized Medicine in Breast Cancer.

Authors:  Werner Schroth; Matthias Schwab
Journal:  J Pers Med       Date:  2022-06-01
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.