Literature DB >> 33708625

Validation of the GenesWell BCT Score in Young Asian Women With HR+/HER2- Early Breast Cancer.

Mi Jeong Kwon1,2, Jai Min Ryu3, Soo Youn Cho4, Seok Jin Nam3, Seok Won Kim3, Jeeyeon Lee5, Soo Jung Lee6, Ji-Young Park7, Ho Yong Park5, Sungjun Hong8, Kyunga Kim8,9, Jinil Han10, Youngho Moon10, Young Kee Shin11,12, Jeong Eon Lee3.   

Abstract

BACKGROUND: The prognostic or predictive value of commonly used multigene assays in young patients with hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) early breast cancer is unclear. In this study, we assessed the prognostic value of the GenesWell BCT assay according to age group.
METHODS: We identified patients with pN0-1, HR+/HER2- breast cancer in a prospective cohort of women who underwent surgery between 2005 and 2017. The GenesWell BCT assay was performed on tissue samples from selected patients. Distant metastasis-free survival (DMFS) and disease-free survival (DFS) were compared between the risk groups assigned by the BCT score.
RESULTS: A total of 712 patients were eligible for analysis. The median follow-up time was 7.47 years. The BCT score was prognostic in patients aged ≤50 years (n = 404) and those aged >50 years (n = 308). In both age groups, the 10-year DMFS and DFS rates for patients classified as high risk by the BCT score were significantly lower than those for patients classified as low risk. A multivariate analysis revealed that the BCT score was an independent prognostic factor for DFS in patients aged ≤50 years (hazard ratio, 1.28; 95% CI, 1.05-1.56; P = 0.015), as well as those aged >50 years.
CONCLUSION: The BCT score could be used to identify low-risk patients who will not benefit from adjuvant chemotherapy to treat HR+/HER2- early breast cancer regardless of age. A further prospective study to assess the prognostic and predictive value of the BCT score is required.
Copyright © 2021 Kwon, Ryu, Cho, Nam, Kim, Lee, Lee, Park, Park, Hong, Kim, Han, Moon, Shin and Lee.

Entities:  

Keywords:  BCT score; GenesWell BCT assay; HR+/HER2− early breast cancer; predictive value; prognostic value; young breast cancer patients

Year:  2021        PMID: 33708625      PMCID: PMC7942224          DOI: 10.3389/fonc.2021.588728

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


  31 in total

Review 1.  Emerging immune gene signatures as prognostic or predictive biomarkers in breast cancer.

Authors:  Mi Jeong Kwon
Journal:  Arch Pharm Res       Date:  2019-11-09       Impact factor: 4.946

2.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

3.  ESO-ESMO 3rd international consensus guidelines for breast cancer in young women (BCY3).

Authors:  Shani Paluch-Shimon; Olivia Pagani; Ann H Partridge; Omalkhair Abulkhair; Maria-João Cardoso; Rebecca Alexandra Dent; Karen Gelmon; Oreste Gentilini; Nadia Harbeck; Anita Margulies; Dror Meirow; Giancarlo Pruneri; Elzbieta Senkus; Tanja Spanic; Medha Sutliff; Luzia Travado; Fedro Peccatori; Fatima Cardoso
Journal:  Breast       Date:  2017-08-17       Impact factor: 4.380

Review 4.  Summary of head-to-head comparisons of patient risk classifications by the 21-gene Recurrence Score® (RS) assay and other genomic assays for early breast cancer.

Authors:  Zsuzsanna Varga; Peter Sinn; Andrew D Seidman
Journal:  Int J Cancer       Date:  2019-02-12       Impact factor: 7.396

5.  Contrasting Epidemiology and Clinicopathology of Female Breast Cancer in Asians vs the US Population.

Authors:  Ching-Hung Lin; Yoon Sim Yap; Kyung-Hun Lee; Seock-Ah Im; Yoichi Naito; Winnie Yeo; Takayuki Ueno; Ava Kwong; Huiping Li; Shu-Min Huang; Roland Leung; Wonshik Han; Benita Tan; Fu-Chang Hu; Chiun-Sheng Huang; Ann-Lii Cheng; Yen-Shen Lu
Journal:  J Natl Cancer Inst       Date:  2019-12-01       Impact factor: 13.506

6.  Relationship between age at diagnosis and outcome of premenopausal breast cancer: age less than 35 years is a reasonable cut-off for defining young age-onset breast cancer.

Authors:  Wonshik Han; So Young Kang
Journal:  Breast Cancer Res Treat       Date:  2009-04-07       Impact factor: 4.872

7.  Measurement of gene expression in archival paraffin-embedded tissues: development and performance of a 92-gene reverse transcriptase-polymerase chain reaction assay.

Authors:  Maureen Cronin; Mylan Pho; Debjani Dutta; James C Stephans; Steven Shak; Michael C Kiefer; Jose M Esteban; Joffre B Baker
Journal:  Am J Pathol       Date:  2004-01       Impact factor: 4.307

8.  Insights Into Breast Cancer in the East vs the West: A Review.

Authors:  Yoon-Sim Yap; Yen-Shen Lu; Kenji Tamura; Jeong Eon Lee; Eun Young Ko; Yeon Hee Park; A-Yong Cao; Ching-Hung Lin; Masakazu Toi; Jiong Wu; Soo-Chin Lee
Journal:  JAMA Oncol       Date:  2019-10-01       Impact factor: 31.777

9.  A new molecular prognostic score for predicting the risk of distant metastasis in patients with HR+/HER2- early breast cancer.

Authors:  Gyungyub Gong; Mi Jeong Kwon; Jinil Han; Hee Jin Lee; Se Kyung Lee; Jeong Eon Lee; Seon-Heui Lee; Sarah Park; Jong-Sun Choi; Soo Youn Cho; Sei Hyun Ahn; Jong Won Lee; Sang Rae Cho; Youngho Moon; Byung-Ho Nam; Seok Jin Nam; Yoon-La Choi; Young Kee Shin
Journal:  Sci Rep       Date:  2017-03-28       Impact factor: 4.379

10.  The Prosigna gene expression assay and responsiveness to adjuvant cyclophosphamide-based chemotherapy in premenopausal high-risk patients with breast cancer.

Authors:  Maj-Britt Jensen; Anne-Vibeke Lænkholm; Torsten O Nielsen; Jens Ole Eriksen; Pernille Wehn; Tressa Hood; Namratha Ram; Wesley Buckingham; Sean Ferree; Bent Ejlertsen
Journal:  Breast Cancer Res       Date:  2018-07-27       Impact factor: 6.466

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  1 in total

1.  Matrix metalloproteinase 11 (MMP11) in macrophages promotes the migration of HER2-positive breast cancer cells and monocyte recruitment through CCL2-CCR2 signaling.

Authors:  Shin Ung Kang; Soo Youn Cho; Hyojin Jeong; Jinil Han; Ha Yeong Chae; Hobin Yang; Chang Ohk Sung; Yoon-La Choi; Young Kee Shin; Mi Jeong Kwon
Journal:  Lab Invest       Date:  2021-11-13       Impact factor: 5.662

  1 in total

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