Literature DB >> 34131830

A 95-gene signature stratifies recurrence risk of invasive disease in ER-positive, HER2-negative, node-negative breast cancer with intermediate 21-gene signature recurrence scores.

Takeo Fujii1,2,3,4, Hiroko Masuda5, Yee Chung Cheng6, Fei Yang7, Aysegul A Sahin8, Yasuto Naoi9, Yuki Matsunaga5, Akshara Raghavendra1, Arup Kumar Sinha1, Jose Rodrigo Espinosa Fernandez1, Anjali James1, Keisuke Yamagishi10, Tomoko Matsushima10, Robert Schuetz4, Debu Tripathy1, Sachiyo Tada10, Rubie S Jackson11, Shinzaburo Noguchi9,12, Seigo Nakamura5, Jared D Acoba3,4, Naoto T Ueno13,14.   

Abstract

PURPOSE: A subset of patients with intermediate 21-gene signature assay recurrence score may benefit from adjuvant chemoendocrine therapy, but a predictive strategy is needed to identify such patients. The 95-gene signature assay was tested to stratify patients with intermediate RS into high (95GC-H) and low (95GC-L) groups that were associated with invasive recurrence risk.
METHODS: Patients with ER-positive, HER2-negative, node-negative breast cancer and RS 11-25 who underwent definitive surgery and adjuvant endocrine therapy without any cytotoxic agents were included. RNA was extracted from archived formalin-fixed, paraffin-embedded samples, and 95-gene signature was calculated.
RESULTS: 206 patients had RS of 11-25 (95GC-L, N = 163; 95GC-H, N = 43). In Cox proportional hazards model, 95GC-H was significantly associated with shorter time to recurrence than was 95GC-L (HR 5.94; 95%CI 1.81-19.53; P = 0.005). The correlation between 95-gene signature and 21-gene signature assay scores was not strong (correlation coefficient r = 0.27), which might suggest that 95-gene signature reflects biological characteristics differing from what 21-gene signature shows.
CONCLUSIONS: The 95-gene signature stratifies patients with ER-positive, HER2-negative, node-negative invasive breast cancer and intermediate RS of 11-25 into high and low groups that are associated with recurrence risk of invasive disease. Further retrospective analysis in the prospectively accrued TAILORx population is warranted to confirm that 95-gene signature can identify patients who would benefit from adjuvant chemoendocrine therapy.

Entities:  

Keywords:  21-gene signature assay; 95-gene signature assay; Breast cancer; Estrogen receptor-positive; Recurrence Score

Year:  2021        PMID: 34131830     DOI: 10.1007/s10549-021-06276-7

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  9 in total

1.  Estrogen receptor positive breast cancer identified by 95-gene classifier as at high risk for relapse shows better response to neoadjuvant chemotherapy.

Authors:  Ryo Tsunashima; Yasuto Naoi; Kazuki Kishi; Yosuke Baba; Atsushi Shimomura; Naomi Maruyama; Takahiro Nakayama; Kenzo Shimazu; Seung Jin Kim; Yasuhiro Tamaki; Shinzaburo Noguchi
Journal:  Cancer Lett       Date:  2012-04-27       Impact factor: 8.679

2.  Comparison of efficacy of 95-gene and 21-gene classifier (Oncotype DX) for prediction of recurrence in ER-positive and node-negative breast cancer patients.

Authors:  Yasuto Naoi; Kazuki Kishi; Ryo Tsunashima; Kenzo Shimazu; Atsushi Shimomura; Naomi Maruyama; Masafumi Shimoda; Naofumi Kagara; Yosuke Baba; Seung Jin Kim; Shinzaburo Noguchi
Journal:  Breast Cancer Res Treat       Date:  2013-07-25       Impact factor: 4.872

3.  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

4.  Clinical and Genomic Risk to Guide the Use of Adjuvant Therapy for Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Peter M Ravdin; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Matthew P Goetz; John A Olson; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; Jeffrey L Berenberg; Jeffrey Abrams; George W Sledge
Journal:  N Engl J Med       Date:  2019-06-03       Impact factor: 91.245

5.  RecurrenceOnline: an online analysis tool to determine breast cancer recurrence and hormone receptor status using microarray data.

Authors:  Balázs Győrffy; Zsombor Benke; András Lánczky; Bálint Balázs; Zoltán Szállási; József Timár; Reinhold Schäfer
Journal:  Breast Cancer Res Treat       Date:  2011-07-16       Impact factor: 4.872

6.  Development of 95-gene classifier as a powerful predictor of recurrences in node-negative and ER-positive breast cancer patients.

Authors:  Yasuto Naoi; Kazuki Kishi; Tomonori Tanei; Ryo Tsunashima; Naoomi Tominaga; Yosuke Baba; Seung Jin Kim; Tetsuya Taguchi; Yasuhiro Tamaki; Shinzaburo Noguchi
Journal:  Breast Cancer Res Treat       Date:  2010-08-29       Impact factor: 4.872

7.  Prospective Validation of a 21-Gene Expression Assay in Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Edith A Perez; John A Olson; JoAnne Zujewski; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Peter Ravdin; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; James N Atkins; Jeffrey L Berenberg; George W Sledge
Journal:  N Engl J Med       Date:  2015-09-27       Impact factor: 91.245

8.  Adjuvant Chemotherapy Guided by a 21-Gene Expression Assay in Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Matthew P Goetz; John A Olson; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Peter M Ravdin; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; Jeffrey L Berenberg; Jeffrey Abrams; George W Sledge
Journal:  N Engl J Med       Date:  2018-06-03       Impact factor: 91.245

9.  Development and Validation of a Tool Integrating the 21-Gene Recurrence Score and Clinical-Pathological Features to Individualize Prognosis and Prediction of Chemotherapy Benefit in Early Breast Cancer.

Authors:  Joseph A Sparano; Michael R Crager; Gong Tang; Robert J Gray; Salomon M Stemmer; Steven Shak
Journal:  J Clin Oncol       Date:  2020-12-11       Impact factor: 50.717

  9 in total
  2 in total

Review 1.  Breast Cancer Patients: Who Would Benefit from Neoadjuvant Chemotherapies?

Authors:  Liqin Yao; Gang Jia; Lingeng Lu; Wenxue Ma
Journal:  Curr Oncol       Date:  2022-07-12       Impact factor: 3.109

2.  Racial differences in predictive value of the 21-gene recurrence score assay: a population-based study using the SEER database.

Authors:  Jiwoong Jung; Ki-Tae Hwang; In Sil Choi; Byoung Hyuck Kim; Sohee Oh; Jongjin Kim; Jeong Hwan Park; Jin Hyun Park; Se Hyun Paek; Sook Young Jeon; Tae-Hoon Yeo
Journal:  Breast Cancer       Date:  2022-05-26       Impact factor: 3.307

  2 in total

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