Literature DB >> 26763880

KOHBRA BRCA risk calculator (KOHCal): a model for predicting BRCA1 and BRCA2 mutations in Korean breast cancer patients.

Eunyoung Kang1, Sue K Park2,3,4, Jong Won Lee5, Zisun Kim6, Woo-Chul Noh7, Yongsik Jung8, Jung-Hyun Yang9, Sung Hoo Jung10, Sung-Won Kim11.   

Abstract

The widely used Western BRCA mutation prediction models underestimated the risk of having a BRCA mutation in Korean breast cancer patients. This study aimed to identify predictive factors for BRCA1/2 mutations and to develop a Korean BRCA risk calculator. The model was constructed by logistic regression model, and it was based on the Korean Hereditary Breast Cancer study, in which 1669 female patients were enrolled between May 2007 and December 2010. A separate data set of 402 patients, who were enrolled from Jan 2011 to August 2012, was used to test the performance of our model. In total, 264 (15.8%) and 67 (16.7%) BRCA mutation carriers were identified in the model and validation set, respectively. Multivariate analysis showed that age at breast cancer diagnosis, bilateral breast cancer, triple-negative breast cancer (TNBC) and the number of relatives with breast or ovarian cancer within third-degree relatives were independent predictors of the BRCA mutation among familial breast cancer patients. An age <35 years at diagnosis, bilateral breast cancer, both breast and ovarian cancer and TNBC remained significant predictors in non-familial breast cancer cases. Our model was developed based on logistic regression models. The validation results showed no differences between the observed and expected carrier probabilities. This model will be a useful tool for providing genetic risk assessments in Korean populations.

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Year:  2016        PMID: 26763880     DOI: 10.1038/jhg.2015.164

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  33 in total

1.  A new scoring system for the chances of identifying a BRCA1/2 mutation outperforms existing models including BRCAPRO.

Authors:  D G R Evans; D M Eccles; N Rahman; K Young; M Bulman; E Amir; A Shenton; A Howell; F Lalloo
Journal:  J Med Genet       Date:  2004-06       Impact factor: 6.318

2.  Assessing the added value of breast tumor markers in genetic risk prediction model BRCAPRO.

Authors:  Swati Biswas; Neelam Tankhiwale; Amanda Blackford; Angelica M Gutierrez Barrera; Kaylene Ready; Karen Lu; Christopher I Amos; Giovanni Parmigiani; Banu Arun
Journal:  Breast Cancer Res Treat       Date:  2012-01-21       Impact factor: 4.872

3.  Assessing BRCA carrier probabilities in extended families.

Authors:  Carlos H Barcenas; G M Monawar Hosain; Banu Arun; Jihong Zong; Xiaojun Zhou; Jianfang Chen; Jill M Cortada; Gordon B Mills; Gail E Tomlinson; Alexander R Miller; Louise C Strong; Christopher I Amos
Journal:  J Clin Oncol       Date:  2006-01-20       Impact factor: 44.544

4.  The Korean Hereditary Breast Cancer (KOHBRA) study: protocols and interim report.

Authors:  Sang Ah Han; Sue K Park; Sei Hyun Ahn; Min Hyuk Lee; Dong-Young Noh; Lee Su Kim; Woo-Chul Noh; Yongsik Jung; Ku Sang Kim; Sung-Won Kim
Journal:  Clin Oncol (R Coll Radiol)       Date:  2011-04-16       Impact factor: 4.126

5.  Phenotypic characterization of BRCA1 and BRCA2 tumors based in a tissue microarray study with 37 immunohistochemical markers.

Authors:  José Palacios; Emiliano Honrado; Ana Osorio; Alicia Cazorla; David Sarrió; Alicia Barroso; Sandra Rodríguez; Juan C Cigudosa; Orland Diez; Carmen Alonso; Enrique Lerma; Joaquín Dopazo; Carmen Rivas; Javier Benítez
Journal:  Breast Cancer Res Treat       Date:  2005-03       Impact factor: 4.872

6.  Genetic heterogeneity and penetrance analysis of the BRCA1 and BRCA2 genes in breast cancer families. The Breast Cancer Linkage Consortium.

Authors:  D Ford; D F Easton; M Stratton; S Narod; D Goldgar; P Devilee; D T Bishop; B Weber; G Lenoir; J Chang-Claude; H Sobol; M D Teare; J Struewing; A Arason; S Scherneck; J Peto; T R Rebbeck; P Tonin; S Neuhausen; R Barkardottir; J Eyfjord; H Lynch; B A Ponder; S A Gayther; M Zelada-Hedman
Journal:  Am J Hum Genet       Date:  1998-03       Impact factor: 11.025

7.  Major improvement in the efficacy of BRCA1 mutation screening using morphoclinical features of breast cancer.

Authors:  R Lidereau; F Eisinger; M H Champème; C Noguès; I Bièche; D Birnbaum; C Pallud; J Jacquemier; H Sobol
Journal:  Cancer Res       Date:  2000-03-01       Impact factor: 12.701

8.  Performance of prediction models for BRCA mutation carriage in three racial/ethnic groups: findings from the Northern California Breast Cancer Family Registry.

Authors:  Allison W Kurian; Gail D Gong; Esther M John; Alexander Miron; Anna Felberg; Amanda I Phipps; Dee W West; Alice S Whittemore
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-03-31       Impact factor: 4.254

9.  The prevalence of BRCA mutations among familial breast cancer patients in Korea: results of the Korean Hereditary Breast Cancer study.

Authors:  Sang-Ah Han; Sung-Won Kim; Eunyoung Kang; Sue K Park; Sei-Hyun Ahn; Min Hyuk Lee; Seok-Jin Nam; Wonshik Han; Young Tae Bae; Hyun-Ah Kim; Young Up Cho; Myung Chul Chang; Nam Sun Paik; Ki-Tae Hwang; Sei Joong Kim; Dong-Young Noh; Doo Ho Choi; Woo-Chul Noh; Lee Su Kim; Ku Sang Kim; Young Jin Suh; Jeong Eon Lee; Yongsik Jung; Byung-In Moon; Jung-Hyun Yang; Byung Ho Son; Cha Kyong Yom; Sung Yong Kim; Hyde Lee; Sung Hoo Jung
Journal:  Fam Cancer       Date:  2013-03       Impact factor: 2.375

10.  The prevalence of BRCA1 mutations among young women with triple-negative breast cancer.

Authors:  S R Young; Robert T Pilarski; Talia Donenberg; Charles Shapiro; Lyn S Hammond; Judith Miller; Karen A Brooks; Stephanie Cohen; Beverly Tenenholz; Damini Desai; Inuk Zandvakili; Robert Royer; Song Li; Steven A Narod
Journal:  BMC Cancer       Date:  2009-03-19       Impact factor: 4.430

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  5 in total

1.  Identification of large genomic rearrangement of BRCA1/2 in high risk patients in Korea.

Authors:  Do-Hoon Kim; Hyojin Chae; Irene Jo; Jaeeun Yoo; Hyeyoung Lee; Woori Jang; Joonhong Park; Gun Dong Lee; Dong-Seok Jeon; Keun Ho Lee; Soo Young Hur; Byung Joo Chae; Byung Joo Song; Myungshin Kim; Yonggoo Kim
Journal:  BMC Med Genet       Date:  2017-03-28       Impact factor: 2.103

Review 2.  Hereditary breast and ovarian cancer (HBOC): review of its molecular characteristics, screening, treatment, and prognosis.

Authors:  Reiko Yoshida
Journal:  Breast Cancer       Date:  2020-08-29       Impact factor: 4.239

3.  Impact of proactive high-throughput functional assay data on BRCA1 variant interpretation in 3684 patients with breast or ovarian cancer.

Authors:  Jong Won Lee; Woochang Lee; Hyun-Ki Kim; Eun Jin Lee; Young-Jae Lee; Jisun Kim; Yongsub Kim; Kyunggon Kim; Shin-Wha Lee; Suhwan Chang; Young Joo Lee; Sail Chun; Byung Ho Son; Kyung Hae Jung; Yong-Man Kim; Won-Ki Min; Sei-Hyun Ahn
Journal:  J Hum Genet       Date:  2020-01-06       Impact factor: 3.172

4.  Breast and ovarian cancer penetrance of BRCA1/2 mutations among Hong Kong women.

Authors:  LingJiao Zhang; Vivian Y Shin; Xinglei Chai; Alan Zhang; Tsun L Chan; Edmond S Ma; Timothy R Rebbeck; Jinbo Chen; Ava Kwong
Journal:  Oncotarget       Date:  2018-02-02

5.  Spectrum and prevalence of BRCA1/2 germline mutations in Pakistani breast cancer patients: results from a large comprehensive study.

Authors:  Muhammad Usman Rashid; Noor Muhammad; Humaira Naeemi; Faiz Ali Khan; Mariam Hassan; Saima Faisal; Sidra Gull; Asim Amin; Asif Loya; Ute Hamann
Journal:  Hered Cancer Clin Pract       Date:  2019-09-11       Impact factor: 2.857

  5 in total

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