Literature DB >> 33420250

A novel immune prognostic index for stratification of high-risk patients with early breast cancer.

Hannah Lee1, Mi Jeong Kwon2,3, Beom-Mo Koo4, Hee Geon Park4, Jinil Han5, Young Kee Shin6,7,8.   

Abstract

The prognostic value of current multigene assays for breast cancer is limited to hormone receptor-positive, human epidermal growth factor receptor 2-negative early breast cancer. Despite the prognostic significance of immune response-related genes in breast cancer, immune gene signatures have not been incorporated into most multigene assays. Here, using public gene expression microarray datasets, we classified breast cancer patients into three risk groups according to clinical risk and proliferation risk. We then developed the immune prognostic index based on expression of five immune response-related genes (TRAT1, IL2RB, CTLA4, IGHM and IL21R) and lymph node status to predict the risk of recurrence in the clinical and proliferation high-risk (CPH) group. The 10-year probability of disease-free survival (DFS) or distant metastasis-free survival (DMFS) of patients classified as high risk according to the immune prognostic index was significantly lower than those of patients classified as intermediate or low risk. Multivariate analysis revealed that the index is an independent prognostic factor for DFS or DMFS. Moreover, the C-index revealed that it is superior to clinicopathological variables for predicting prognosis. Its prognostic significance was also validated in independent datasets. The immune prognostic index identified low-risk patients among patients classified as CPH, regardless of the molecular subtype of breast cancer, and may overcome the limitations of current multigene assays.

Entities:  

Year:  2021        PMID: 33420250      PMCID: PMC7794340          DOI: 10.1038/s41598-020-80274-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  42 in total

1.  Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer.

Authors:  Soonmyung Paik; Gong Tang; Steven Shak; Chungyeul Kim; Joffre Baker; Wanseop Kim; Maureen Cronin; Frederick L Baehner; Drew Watson; John Bryant; Joseph P Costantino; Charles E Geyer; D Lawrence Wickerham; Norman Wolmark
Journal:  J Clin Oncol       Date:  2006-05-23       Impact factor: 44.544

2.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

3.  A prognostic model for lymph node-negative breast cancer patients based on the integration of proliferation and immunity.

Authors:  Ensel Oh; Yoon-La Choi; Taesung Park; Seungyeoun Lee; Seok Jin Nam; Young Kee Shin
Journal:  Breast Cancer Res Treat       Date:  2011-06-11       Impact factor: 4.872

4.  New insights of CTLA-4 into its biological function in breast cancer.

Authors:  H Mao; L Zhang; Y Yang; W Zuo; Y Bi; W Gao; B Deng; J Sun; Q Shao; X Qu
Journal:  Curr Cancer Drug Targets       Date:  2010-11       Impact factor: 3.428

Review 5.  Use of Biomarkers to Guide Decisions on Adjuvant Systemic Therapy for Women With Early-Stage Invasive Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline.

Authors:  Lyndsay N Harris; Nofisat Ismaila; Lisa M McShane; Fabrice Andre; Deborah E Collyar; Ana M Gonzalez-Angulo; Elizabeth H Hammond; Nicole M Kuderer; Minetta C Liu; Robert G Mennel; Catherine Van Poznak; Robert C Bast; Daniel F Hayes
Journal:  J Clin Oncol       Date:  2016-02-08       Impact factor: 44.544

6.  70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer.

Authors:  Fatima Cardoso; Laura J van't Veer; Jan Bogaerts; Leen Slaets; Giuseppe Viale; Suzette Delaloge; Jean-Yves Pierga; Etienne Brain; Sylvain Causeret; Mauro DeLorenzi; Annuska M Glas; Vassilis Golfinopoulos; Theodora Goulioti; Susan Knox; Erika Matos; Bart Meulemans; Peter A Neijenhuis; Ulrike Nitz; Rodolfo Passalacqua; Peter Ravdin; Isabel T Rubio; Mahasti Saghatchian; Tineke J Smilde; Christos Sotiriou; Lisette Stork; Carolyn Straehle; Geraldine Thomas; Alastair M Thompson; Jacobus M van der Hoeven; Peter Vuylsteke; René Bernards; Konstantinos Tryfonidis; Emiel Rutgers; Martine Piccart
Journal:  N Engl J Med       Date:  2016-08-25       Impact factor: 91.245

7.  Supervised risk predictor of breast cancer based on intrinsic subtypes.

Authors:  Joel S Parker; Michael Mullins; Maggie C U Cheang; Samuel Leung; David Voduc; Tammi Vickery; Sherri Davies; Christiane Fauron; Xiaping He; Zhiyuan Hu; John F Quackenbush; Inge J Stijleman; Juan Palazzo; J S Marron; Andrew B Nobel; Elaine Mardis; Torsten O Nielsen; Matthew J Ellis; Charles M Perou; Philip S Bernard
Journal:  J Clin Oncol       Date:  2009-02-09       Impact factor: 44.544

8.  An assessment of prognostic immunity markers in breast cancer.

Authors:  Benlong Yang; Jeff Chou; Yaozhong Tao; Dengbin Wu; Xinhong Wu; Xueqing Li; Yan Li; Yiwei Chu; Feng Tang; Yanxia Shi; Linlin Ma; Tong Zhou; William Kaufmann; Lisa A Carey; Jiong Wu; Zhiyuan Hu
Journal:  NPJ Breast Cancer       Date:  2018-10-29

9.  A robust classifier of high predictive value to identify good prognosis patients in ER-negative breast cancer.

Authors:  Andrew E Teschendorff; Carlos Caldas
Journal:  Breast Cancer Res       Date:  2008-08-28       Impact factor: 6.466

10.  High Densities of Tumor-Associated Plasma Cells Predict Improved Prognosis in Triple Negative Breast Cancer.

Authors:  Joe Yeong; Jeffrey Chun Tatt Lim; Bernett Lee; Huihua Li; Noel Chia; Clara Chong Hui Ong; Weng Kit Lye; Thomas Choudary Putti; Rebecca Dent; Elaine Lim; Aye Aye Thike; Puay Hoon Tan; Jabed Iqbal
Journal:  Front Immunol       Date:  2018-05-30       Impact factor: 7.561

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