Evidence map›Paper›PMID 35116798›Full record

ArticleTranslational cancer research2019

GSTM1 polymorphism in Oncotype DX assay is a potential predictive factor for taxane-based neoadjuvant chemotherapy in estrogen receptor-positive Chinese breast cancer patients.

Guochun Zhang, Xueke Qian, Chongyang Ren, Lingzhu Wen, Haitong Lyu, Ning Liao

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Article in Translational cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 33% of its field
1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Guochun Zhang *Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Xueke Qian *Department of Breast Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450054, China.
Chongyang RenDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Lingzhu WenDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Haitong LyuBreast Center, Shantou Central Hospital, Shantou 515000, China.
Ning LiaoDepartment of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou 510080, China.
Guangdong Academy of Medical Sciences · CNFirst Affiliated Hospital of Zhengzhou University · CNGuangdong Provincial People's Hospital · CNShantou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvestigations of the 21-gene Oncotype DX assay in neoadjuvant settings for breast cancer patients are currently underdeveloped. It is still unclear whether any individual gene of the 16 cancer-related genes can be used to predict response to taxane-based neoadjuvant chemotherapy.

methodsHere, we performed TaqMan RT-PCR reactions to profile the expression patterns of these genes in 66 Chinese ER-positive breast cancer patients' tumor tissues who underwent taxane-based neoadjuvant chemotherapies. Only GSTM1 has distinct non-expression/expression polymorphism, and we observed an almost 2.5-fold increment in the possibility of achieving pathological complete response (pCR) was defined as no histological evidence of residual invasive cancer both in the breast and in the axilla. in GSTM1 non-expression patients. We then analyzed the expression levels of 4 main GST isozymes (GSTA1, GSTT1, GSTP1 and GSTT1) and docetaxel cytotoxicity in various breast cancer cell lines (MCF7, MDA-MB-231, BT474, and SKBR3). Furthermore, we knocked down 4 GST isozymes with siRNA against each isoform in resistant MDA-MB-231. We then observed the changes of docetaxel sensitivity though WST-1 assay, in addition to apoptosis by Hoechst stain and TUNEL assay.

resultsDocetaxel IC50 values ranging from 33.0 nM (MDA-MB-231) to 7.20 µM (resistant MDA-MB-231) revealed a close correlation with the expression levels of 4 main GST isozymes. Significantly, depletion of GSTM1 and GSTA1 but not GSTP1 nor GSTT1, suppressed cell viability by 174% and 155% respectively, and was able to induce obvious apoptosis in resistant MDA-MB-132.

conclusionsTaken together, our results suggest that GSTM1 polymorphism could be useful in the prediction of taxane-based neoadjuvant chemotherapy in ER-positive Chinese breast cancer patients, and that GSTM1 and GSTA1 expression are linked to docetaxel resistance.

Indexed as

Breast cancerestrogen receptor-positive (ER-positive)GSTM1 polymorphismneoadjuvant chemotherapytaxane

Identifiers

PMID35116798
PMCPMC8797896
OpenAlexW4232071461

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.