Evidence map›Paper›PMID 38977630›Full record

ArticleDiscover oncology2024

Novel associations between MTDH gene polymorphisms and invasive ductal breast cancer: a case-control study.

Yan Huang, Dan Dai, Li Zhu, Xianzhong Qi

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yan HuangDepartment of Pathology, The First People's Hospital of Linping District, #369 Nanyuan Street Yingbin Road, Linping District, Hangzhou, Zhejiang, China. hy9902004@126.com.ORCID http://orcid.org/0000-0002-7246-7094
Dan DaiDepartment of Pathology, The First People's Hospital of Linping District, #369 Nanyuan Street Yingbin Road, Linping District, Hangzhou, Zhejiang, China.
Li ZhuDepartment of Pathology, The First People's Hospital of Linping District, #369 Nanyuan Street Yingbin Road, Linping District, Hangzhou, Zhejiang, China.
Xianzhong QiDepartment of Pathology, The First People's Hospital of Linping District, #369 Nanyuan Street Yingbin Road, Linping District, Hangzhou, Zhejiang, China.

Funding

Clinical Science and Research Funding of Zhejiang Medical Association 2019ZY-A101
6 · The paper itself

Abstract

objectiveTo reveal the contributing effects of MTDH gene SNPs in the risk of invasive ductal breast cancer (IDC). PATIENTS AND

methodsA case-control study was conducted, recruiting a total of 300 cases of IDC and 565 cancer-free controls from East China. Genotyping of three single-nucleotide polymorphisms (SNPs) in the MTDH gene was performed. Genomic DNA was extracted from peripheral blood samples of patients. The three SNPs (rs1311 T > C, rs16896059 G > A, rs2449512 A > G) in the MTDH gene were selected for detection using a TaqMan real-time polymerase chain reaction assay. The association between MTDH and the risk of IDC was analyzed employing an epidemiology case-control study and a multinomial logistic regression model.

resultsAmong the three evaluated SNPs, rs1311 T > C, rs16896059 G > A, and rs2449512 A > G demonstrated a significant association with an increased risk of IDC. Furthermore, stratified analysis revealed that individuals carrying the rs1311 CC genotype, rs16896059 GA/AA genotypes, and rs2449512 GG genotype were more susceptible to developing IDC in subgroups of patients younger than 53 years, without family history of IDC, pre-menopause status, clinical stage 2, high grade, with no distant metastasis or invasion, Her2-positive type, ER positive, PR positive, and Ki67 cells less than 10%. However, carriers of the rs16896059 GA/AA genotypes and rs2449512 GG genotype had an elevate the risk of IDC in patients with tumor size larger than 2 cm, post-menopause status, clinical stage 3, with invasion, lymph node infiltration, ER negative, PR negative, Her2 negative, and Ki67 cells exceeding 10%. Compared to the reference haplotype TGA, haplotypes TAA, TAG, and TGG were significantly associated with an increased IDC risk.

conclusionIn this study, we demonstrated a significant association between MTDH gene polymorphisms and an increased risk of IDC. Moreover, our findings suggested that MTDH gene polymorphisms could serve as a potential biomarker for IDC subtyping and therapeutic selection.

Indexed as

Breast cancerInvasiveMTDHPolymorphismSusceptibility

Identifiers

PMID38977630
PMCPMC11231109

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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.