Evidence map›Paper›PMID 36505342›Full record

ArticleAmerican journal of translational research2022

MACF1 mutations predict poor prognosis: a novel potential therapeutic target for breast cancer.

Ye Tian, Kongjun Zhu, Yuefei Li, Zhen Ren, Juan Wang

Abstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ye TianDepartment of Thyroid and Breast Surgery Wuhan No. 1 Hospital, Wuhan, Hubei, China.
Kongjun ZhuDepartment of Thyroid and Breast Surgery Wuhan No. 1 Hospital, Wuhan, Hubei, China.
Yuefei LiDepartment of Blood Transfusion, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan, Hubei, China.
Zhen RenDepartment of Blood Transfusion, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan, Hubei, China.
Juan WangDepartment of Blood Transfusion, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMicrotubule actin cross-linking factor 1 (MACF1) mutations are known to play an important role in the progression of various cancers. However, its role in breast cancer remains to be determined. In this study, we investigated how MACF1 mutations may play a role in breast cancer development.

methodsThe gene-expression profile data of patients with breast cancer were obtained from The Cancer Genome Atlas (TCGA)-Breast cancer cohort. We estimated the influence of MACF1 mutations on patient clinical prognosis using the Kaplan-Meier method. Further, patients with MACF1-mutant (MACF1-MT) and MACF1-wild-type (MACF1-WT) were compared to identify the differentially expressed genes (DEGs). We also performed functional enrichment analyses, constructed protein-protein interaction (PPI) and competing endogenous RNA (ceRNA) networks, and investigated the correlation between MACF1 mutations and immune-cell infiltration. To explore the prognostic value of MACF1 mutations, a nomogram was developed based on MACF1 mutations and other clinicopathological parameters.

resultsPatients with MACF1-MT had a worse prognosis and higher tumor mutation burden score (P < 0.05) than patients with MACF1-WT. MACF1 mutations were demonstrated to upregulate the mTOR signaling pathway and alter energy metabolism and tumor immune microenvironment. Thus, MACF1 mutations might affect immunogenicity and result in a lower response to immunotherapy. By analyzing the Genomics of Drug Sensitivity in Cancer (GDSC), the sensitivity of breast cancer cells to 13 drugs was found to be significantly enhanced by MACF1 mutations. The prognostic model was verified in predicting the outcome of breast cancer patients.

conclusionMACF1 mutations might be a potential prognostic biomarker and a therapeutic target for breast cancer.

Indexed as

breast cancerimmunotherapyMACF1prognosistumor immune microenvironment

Identifiers

PMID36505342
PMCPMC9730059

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