Literature DB >> 22157294

Genomics of adjuvant therapy for breast cancer.

Seong-Rim Kim1, Soonmyung Paik.   

Abstract

Therapeutic decision for adjuvant systemic therapy for breast cancer involves assessment of baseline risk and estimated benefit from systemic therapy. Molecular profiling studies have clearly demonstrated heterogeneity of chemotherapy response across different molecular subtypes of breast cancer. Meta-analyses of publicly available data from gene expression profiling studies have demonstrated that breast cancer can be divided into 4 basic categories based on expression levels of estrogen receptor (ER), HER2, and proliferation-associated genes; ER-, HER2+, ER+/HER2-/low proliferation, and ER+/HER2-/high proliferation. Notably ER- or HER2+ tumors are associated with high levels expression of proliferation genes, although there is a wide spectrum of expression levels of proliferation genes among ER+/HER2- tumors. Estrogen receptor-positive/HER2-/low-proliferation tumors are associated with a favorable prognosis. Synthetic lethal screening approach has demonstrated that most of the chemotherapeutic agents do not have specific molecular targets. Therefore, it could be hypothesized that chemosensitivity would be largely dictated by proliferation activity of tumor cells. Therefore, tumors with ER-, HER2+, or ER+/HER2-/high proliferation gene expression profile can be categorized as chemosensitive tumors, whereas ER+/HER-/low proliferation tumors categorized as chemoresistant. Therefore, clinical utility of gene expression profiling is mainly in aiding the chemotherapy decision for ER+ patients. Although evidence from prospective randomized clinical trials are lacking, because of the excellent baseline prognosis of patients with ER+/HER2-/low proliferation tumors when treated with endocrine therapy and because of scientific evidence of chemoresistance of these tumors, a comfort zone has been reached among oncologists to allow clinical use of gene expression tests to identify patients who do not require chemotherapy among node-negative ER+ patients. However, these tools are still probabilistic at best in their performances, and one cannot exactly predict which patient will have recurrence after assigned therapies until the time of recurrence. Therefore, strategies have to be established to identify patients who will fail standard chemoendocrine therapies among high-risk patients (ER+/HER2-/high proliferation, HER2+, or ER-) before recurrence events. Neoadjvant therapy can provide such venue because regardless of regimens used the prognosis of those achieving complete pathological response is excellent. Postneoadjuvant setting can be then used for patients with gross residual disease to test novel therapeutic agents.

Entities:  

Mesh:

Year:  2011        PMID: 22157294     DOI: 10.1097/PPO.0b013e31823e5370

Source DB:  PubMed          Journal:  Cancer J        ISSN: 1528-9117            Impact factor:   3.360


  7 in total

1.  Latest research progress in the correlation between baicalein and breast cancer invasion and metastasis.

Authors:  Wan-Jun Yan; Xing-Cong Ma; Xiao-Yan Gao; Xing-Huan Xue; Shu-Qun Zhang
Journal:  Mol Clin Oncol       Date:  2016-01-28

Review 2.  Clinical utility of gene-expression profiling in women with early breast cancer: an overview of systematic reviews.

Authors:  Michael Marrone; Alison Stewart; W David Dotson
Journal:  Genet Med       Date:  2014-12-04       Impact factor: 8.822

3.  Synthetic lethals in HIV: ways to avoid drug resistance : Running title: Preventing HIV resistance.

Authors:  Michel Petitjean; Anne Badel; Reiner A Veitia; Anne Vanet
Journal:  Biol Direct       Date:  2015-04-17       Impact factor: 4.540

4.  A New Strategy to Reduce Influenza Escape: Detecting Therapeutic Targets Constituted of Invariance Groups.

Authors:  Julie Lao; Anne Vanet
Journal:  Viruses       Date:  2017-03-02       Impact factor: 5.048

5.  Gene expression assay and Watson for Oncology for optimization of treatment in ER-positive, HER2-negative breast cancer.

Authors:  Yun Yeong Kim; Se Jeong Oh; Yong Soon Chun; Woon Kee Lee; Heung Kyu Park
Journal:  PLoS One       Date:  2018-07-06       Impact factor: 3.240

6.  Multigene tests for breast cancer: the physician's perspective.

Authors:  Francesco Cognetti; Laura Biganzoli; Sabino De Placido; Lucia Del Mastro; Riccardo Masetti; Giuseppe Naso; Giancarlo Pruneri; Donatella Santini; Carlo Alberto Tondini; Corrado Tinterri; Giuseppe Tonini; Sandro Barni
Journal:  Oncotarget       Date:  2021-04-27

Review 7.  The clinician's perspective on the 21-gene assay in early breast cancer.

Authors:  Francesco Cognetti; Giuseppe Naso
Journal:  Oncotarget       Date:  2021-12-21
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.