Literature DB >> 26423797

Subtype-Specific Metagene-Based Prediction of Outcome after Neoadjuvant and Adjuvant Treatment in Breast Cancer.

Maurizio Callari1, Vera Cappelletti1, Francesca D'Aiuto1, Valeria Musella1, Antonio Lembo2, Fabien Petel3, Thomas Karn4, Takayuki Iwamoto5, Paolo Provero6, Maria Grazia Daidone7, Luca Gianni8, Giampaolo Bianchini9.   

Abstract

PURPOSE: In spite of improvements of average benefit from adjuvant/neoadjuvant treatments, there are still individual patients with early breast cancer at high risk of relapse. We explored the association with outcome of robust gene cluster-based metagenes linked to proliferation, ER-related genes, and immune response to identify those high-risk patients. EXPERIMENTAL
DESIGN: A total of 3,847 publicly available gene-expression profiles were analyzed (untreated, N = 826; tamoxifen-treated, N = 685; chemotherapy-treated, N = 1,150). Genes poorly performing in formalin-fixed samples were removed. Outcomes of interest were pathologic-complete response (pCR) and distant metastasis-free survival (DMFS). In ER(+)HER2(-), the proliferation and ER-related metagenes were combined to define three risk groups. In HER2(+) and ER(-)HER2(-) risk groups were defined by tertiles of an immune-related metagene.
RESULTS: The high-proliferation/low-ER group of ER(+)HER2(-) breast cancer had significantly higher pCR rate [OR, 5.01 (1.76-17.99), P = 0.005], but poorer outcome [HR = 3.73 (1.63-8.51), P = 0.0018] than the low-proliferation/high-ER. A similar association with outcome applied to patients with residual disease (RD) after neoadjuvant chemotherapy (P = 0.01). In ER(-)HER2(-) and HER2(+) breast cancer, immune metagene in the high tertile was linked to higher pCR [33.7% vs. 11.6% in high and low tertile, respectively; OR, 3.87 (1.79-8.95); P = 0.0009]. In ER(-)HER2(-), after adjuvant/neoadjuvant chemotherapy, 5-year DMFS was 85.4% for high-tertile immune metagene, and 43.9% for low tertile. The outcome association was similar in patients with RD (P = 0.0055). In HER2(+) breast cancer treated with chemotherapy the association with risk of relapse was not significant.
CONCLUSIONS: We developed metagene-based predictors able to define low and high risk of relapse after adjuvant/neoadjuvant therapy. High-risk patients so defined should be preferably considered for trials with investigational agents. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26423797     DOI: 10.1158/1078-0432.CCR-15-0757

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  34 in total

1.  Immune microenvironment of triple-negative breast cancer in African-American and Caucasian women.

Authors:  Tess O'Meara; Anton Safonov; David Casadevall; Tao Qing; Andrea Silber; Brigid Killelea; Christos Hatzis; Lajos Pusztai
Journal:  Breast Cancer Res Treat       Date:  2019-02-06       Impact factor: 4.872

2.  The Immune Subtypes and Landscape of Squamous Cell Carcinoma.

Authors:  Bailiang Li; Yi Cui; Dhanya K Nambiar; John B Sunwoo; Ruijiang Li
Journal:  Clin Cancer Res       Date:  2019-03-04       Impact factor: 12.531

Review 3.  Advances in systemic therapy for metastatic breast cancer: future perspectives.

Authors:  S P Corona; N Sobhani; A Ianza; G Roviello; G Mustacchi; M Bortul; F Zanconati; D Generali
Journal:  Med Oncol       Date:  2017-05-19       Impact factor: 3.064

4.  Characterization of the Immune Infiltration Landscape and Identification of Prognostic Biomarkers for Esophageal Cancer.

Authors:  Yuanmei Chen; Xinyi Huang; Lin Chen; Guibin Weng; Zhengrong Huang; Yangfan Zhang; Tianya Xiao; Junqiang Chen; Kunshou Zhu; Yuanji Xu
Journal:  Mol Biotechnol       Date:  2022-07-03       Impact factor: 2.695

5.  Clonal populations of a human TNBC model display significant functional heterogeneity and divergent growth dynamics in distinct contexts.

Authors:  Hendrik J Kuiken; Sabin Dhakal; Laura M Selfors; Chandler M Friend; Tian Zhang; Maurizio Callari; Ron C J Schackmann; G Kenneth Gray; Jett Crowdis; Hyo-Eun C Bhang; Timour Baslan; Frank Stegmeier; Steven P Gygi; Carlos Caldas; Joan S Brugge
Journal:  Oncogene       Date:  2021-10-26       Impact factor: 9.867

6.  Epigenetic Repression of STING by MYC Promotes Immune Evasion and Resistance to Immune Checkpoint Inhibitors in Triple-Negative Breast Cancer.

Authors:  Kyung-Min Lee; Chang-Ching Lin; Alberto Servetto; Joonbeom Bae; Vishal Kandagatla; Dan Ye; GunMin Kim; Dhivya R Sudhan; Saurabh Mendiratta; Paula I González Ericsson; Justin M Balko; Jeon Lee; Spencer Barnes; Venkat S Malladi; Siamak Tabrizi; Sangeetha M Reddy; Seoyun Yum; Ching-Wei Chang; Katherine E Hutchinson; Susan E Yost; Yuan Yuan; Zhijian J Chen; Yang-Xin Fu; Ariella B Hanker; Carlos L Arteaga
Journal:  Cancer Immunol Res       Date:  2022-07-01       Impact factor: 12.020

7.  Analyzing the characteristics of immune cell infiltration in lung adenocarcinoma via bioinformatics to predict the effect of immunotherapy.

Authors:  Yi Liao; Dingxiu He; Fuqiang Wen
Journal:  Immunogenetics       Date:  2021-07-24       Impact factor: 2.846

Review 8.  Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease.

Authors:  Giampaolo Bianchini; Justin M Balko; Ingrid A Mayer; Melinda E Sanders; Luca Gianni
Journal:  Nat Rev Clin Oncol       Date:  2016-05-17       Impact factor: 66.675

9.  Characterization of the Immune Cell Infiltration Profile in Pancreatic Carcinoma to Aid in Immunotherapy.

Authors:  Fei Kuang; Juan Du; Mengjia Zhou; Fangyi Peng; Yu Gan; Cheng Fang; Xiaoli Yang; Bo Li; Song Su
Journal:  Front Oncol       Date:  2021-05-13       Impact factor: 6.244

10.  Prospective Validation of a Transcriptomic Metric in Severe Trauma.

Authors:  Steven L Raymond; Russell B Hawkins; Zhongkai Wang; Juan C Mira; Julie A Stortz; Feifei Han; Jennifer D Lanz; Laura V Hennessy; Babette A Brumback; Henry V Baker; Philip A Efron; Scott C Brakenridge; Wenzhong Xiao; Ronald G Tompkins; Joseph Cuschieri; Frederick A Moore; Ronald V Maier; Lyle L Moldawer
Journal:  Ann Surg       Date:  2020-05       Impact factor: 13.787

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