Literature DB >> 29516929

Candidate biomarkers predictive of anthracycline and taxane efficacy against breast cancer.

Shoko Norimura1, Keiichi Kontani2, Takako Kubo3, Shin-Ichiro Hashimoto2, Chisa Murazawa2, Koichiro Kenzaki3, Dage Liu2, Masafumi Tamaki3, Fuminori Aki4, Kazumasa Miura3, Kiyoshi Yoshizawa5, Akira Tangoku6, Hiroyasu Yokomise2.   

Abstract

BACKGROUND: Since breast cancer shows diversity in clinical behaviors, a standard therapy does not always lead to favorable outcomes.
MATERIALS AND METHODS: The expression statuses of candidate markers, including topoisomerase-II alpha (TOP2A), beta-tubulin (B-tub), and tissue inhibitor of metalloprotease-1 (TIMP-1), were immunohistochemically evaluated in 70 breast cancer tissues from 68 patients with advanced breast cancers receiving chemotherapy.
RESULTS: The response rates to anthracycline and taxane were 70.5% and 67.2%, respectively. Overall, 25.1% ± 29.7%, 8.32% ± 10.1%, and 16.37% ±17.5% of cancer cells in the tumors studied were positive for B-tub, TOP2A, and TIMP-1 expressions, respectively. However, positive molecule expression did not differ between patients who did and did not exhibit clinical responses to treatment. The proportion of TOP2A-positive cancer cells was significantly higher among anthracycline responders than among nonresponders in HR-negative cancer (15.4% ±17.5% vs. 2.0% ± 2.4%, respectively, P = 0.048), whereas TOP2A and TIMP-1 expression statuses did not differ in HR-positive cancer. When patients were stratified according to B-tub, TOP2A, or TIMP-1 expression statuses (B-tub ≥10% vs. <10%, TOP2A ≥5% vs. <5%, TIMP-1 ≤20% vs. >20%, respectively), the proportion of patients with ≥10% B-tub-positive cancer cells was significantly higher in taxane responders than in nonresponders (72.4% vs. 37.5%, respectively, P = 0.016). Anthracycline responders showed a trend to have a higher proportion of patients with either ≥5% TOP2A-positive cancer cells or ≤20% TIMP-1-positive cancer cells compared to nonresponders (86.7% vs. 61.5%, respectively, P = 0.066).
CONCLUSION: Immunohistochemical TOP2A, TIMP-1, and B-tub expression analyses are expected to be useful for predicting tumor responses to chemotherapy.

Entities:  

Keywords:  Anthracycline; beta-tubulin; breast cancer; predictive biomarker; taxane; tissue inhibitor of metalloprotease-1; topoisomerase-II alpha

Mesh:

Substances:

Year:  2018        PMID: 29516929     DOI: 10.4103/jcrt.JCRT_1053_16

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  4 in total

1.  Transcriptomic Analysis of Breast Cancer Patients Sensitive and Resistant to Chemotherapy: Looking for Overall Survival and Drug Resistance Biomarkers.

Authors:  Carlos A Barrón-Gallardo; Mariel Garcia-Chagollán; Andres J Morán-Mendoza; Raul Delgadillo-Cristerna; María G Martínez-Silva; Adriana Aguilar-Lemarroy; Luis F Jave-Suárez
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec

2.  Paclitaxel Response Can Be Predicted With Interpretable Multi-Variate Classifiers Exploiting DNA-Methylation and miRNA Data.

Authors:  Alexandra Bomane; Anthony Gonçalves; Pedro J Ballester
Journal:  Front Genet       Date:  2019-10-25       Impact factor: 4.599

3.  Pegylated Liposomal Doxorubicin, Docetaxel, and Trastuzumab as Neoadjuvant Treatment for HER2-Positive Breast Cancer Patients: A Phase II and Biomarker Study.

Authors:  Haoqi Wang; Yuntao Li; Yixin Qi; Erbao Zhao; Xiangshun Kong; Chao Yang; Qiqi Yang; Chengyuan Zhang; Yueping Liu; Zhenchuan Song
Journal:  Front Oncol       Date:  2022-07-08       Impact factor: 5.738

4.  Application of positive behavior management in patients after breast cancer surgery.

Authors:  Ying-Jie Hao; Hui-Bo Sun; Hong-Wei Li; Bing-Jie Chen; Xiu-Li Chen; Lin Ma; Ying-Li Li
Journal:  World J Clin Cases       Date:  2020-02-26       Impact factor: 1.337

  4 in total

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