Literature DB >> 33008814

Gene Expression Signatures of BRCAness and Tumor Inflammation Define Subgroups of Early-Stage Hormone Receptor-Positive Breast Cancer Patients.

Werner Schroth1,2, Florian A Büttner3,2, Siarhei Kandabarau3,2, Reiner Hoppe3,2, Peter Fritz3,4, Jörg Kumbrink5,6, Thomas Kirchner5,6, Heather A Brauer7, Yuqi Ren7, David Henderson7, Stephen F Madden8, Georg Sauer9, Tanja Fehm10, Diethelm Wallwiener11, Peter A Fasching12, Thomas Mürdter3,2, Matthias Schwab, Hiltrud Brauch3,2,13,14.   

Abstract

PURPOSE: Patients with estrogen receptor- and/or progesterone receptor-positive, early breast cancer benefit from hormonal treatment, yet high global death burdens due to high prevalence and long-term recurrence risk call for biomarkers to guide additional treatment approaches. EXPERIMENTAL
DESIGN: From a prospective, observational study of postmenopausal early breast cancer patients treated with tamoxifen or aromatase inhibitors, gene expression analyses of 612 tumors was performed using the NanoString Breast Cancer 360 panel to interrogate 23 breast cancer pathways. Candidate signatures associated with disease subtype and event-free survival (EFS) were obtained by cluster analysis, Cox modeling, and conditional inference trees, and were independently tested in 613 patients from BreastMark. Tumor-infiltrating lymphocytes (TIL) were assessed on tissue sections, and mutational burden was assessed in 36 tumors by whole-exome sequencing.
RESULTS: PAM50-derived classification distinguished lower-risk (Luminal A) from higher-risk subtypes (Luminal B, P = 0.04; HER2, P = 0.006; Basal, P = 0.008). In higher-risk patients, shorter EFS was associated with low androgen receptor [HR = 3.61; 95% confidence interval (CI), 1.72-7.56; P = 0.001] or high BRCAness signature expression (HR = 3.58; 95% CI, 1.19-10.7; P = 0.023). BRCAness was independently confirmed as a predictor of shorter EFS (HR = 2.64; 95% CI, 1.31-5.34; P = 0.007). About 13%-15% of patients, enriched for high-grade, higher-risk subtypes (P ≤ 0.0001), had strong expression of the Tumor Inflammation Signature (TIS) suggestive of an inhibited antitumor immune response. TIS scores were strongly associated with TIL numbers (P < 1e-30) but not with tumor mutation status.
CONCLUSIONS: BRCA-related DNA repair deficiency and suppressed tumor immune responses may be clinically relevant predictors of endocrine therapy complementing treatment options in subgroups of hormone-sensitive early breast cancer. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 33008814     DOI: 10.1158/1078-0432.CCR-20-1923

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


  5 in total

1.  Predictive and prognostic significance of BRCAness in HER2-negative breast cancer.

Authors:  Aiko Sueta; Mutsuko Yamamoto-Ibusuki; Mai Tomiguchi; Yoshitaka Fujiki; Lisa Goto-Yamaguchi; Hirotaka Iwase; Yutaka Yamamoto
Journal:  Breast Cancer       Date:  2022-01-05       Impact factor: 4.239

2.  Prognostic value of tumor mutation burden and the relationship between tumor mutation burden and immune infiltration in HER2+ breast cancer: a gene expression-based study.

Authors:  Ying Wen; Dengjie Ouyang; Qitong Chen; Liyun Zeng; Na Luo; Hongye He; Munawar Anwar; Limeng Qu; Qiongyan Zou; Wenjun Yi
Journal:  Gland Surg       Date:  2022-01

3.  Analysis of Genomic Alterations Associated with Recurrence in Early Stage HER2-Positive Breast Cancer.

Authors:  Yong-Seok Kim; Der Sheng Sun; Juneyoung Ahn; Yongseon Kim; Jung-Sook Yoon; Hye Sung Won
Journal:  Cancers (Basel)       Date:  2022-07-27       Impact factor: 6.575

4.  Identification of glycogene signature as a tool to predict the clinical outcome and immunotherapy response in breast cancer.

Authors:  Shuai Lin; Zengqi Tan; Hanxiao Cui; Qilong Ma; Xuyan Zhao; Jianhua Wu; Luyao Dai; Huafeng Kang; Feng Guan; Zhijun Dai
Journal:  Front Oncol       Date:  2022-09-14       Impact factor: 5.738

5.  Best Practices for Spatial Profiling for Breast Cancer Research with the GeoMx® Digital Spatial Profiler.

Authors:  Helga Bergholtz; Jodi M Carter; Alessandra Cesano; Maggie Chon U Cheang; Sarah E Church; Prajan Divakar; Christopher A Fuhrman; Shom Goel; Jingjing Gong; Jennifer L Guerriero; Margaret L Hoang; E Shelley Hwang; Hellen Kuasne; Jinho Lee; Yan Liang; Elizabeth A Mittendorf; Jessica Perez; Aleix Prat; Lajos Pusztai; Jason W Reeves; Yasser Riazalhosseini; Jennifer K Richer; Özgür Sahin; Hiromi Sato; Ilana Schlam; Therese Sørlie; Daniel G Stover; Sandra M Swain; Alexander Swarbrick; E Aubrey Thompson; Sara M Tolaney; Sarah E Warren
Journal:  Cancers (Basel)       Date:  2021-09-04       Impact factor: 6.639

  5 in total

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