Evidence map›Paper›PMID 38318076›Full record

ArticleHeliyon2024

Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer.

Yangchi Jiao, Fuqing Ji, Lan Hou, Yonggang Lv, Juliang Zhang

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yangchi JiaoDepartment of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China.
Fuqing JiDepartment of Thyroid Breast Surgery, Xi'an NO.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, China.
Lan HouDepartment of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China.
Yonggang LvDepartment of Thyroid Breast Surgery, Xi'an NO.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, China.
Juliang ZhangDepartment of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lactylation is implicated in various aspects of tumor biology, but its relation to breast cancer remains poorly understood. This study aimed to explore the roles of the lactylation-related genes in breast cancer and its association with the tumor microenvironment. Methods: The expression and mutation patterns of lactylation-related genes were analyzed using the breast cancer data from The Cancer Genome Atlas (TCGA) database and GSE20685 datasets. Unsupervised clustering was used to identify two lactylation clusters. A lactylation-related gene signature was developed and validated using the training and validation cohorts. Immune cell infiltration and drug response were assessed. Results: We analyzed the mRNA expression, copy number variations, somatic mutations, and correlation networks of 22 lactylation-related genes in breast cancer tissues. We identified two distinct lactylation clusters with different survival outcomes and immune microenvironments. We further classified the patients into two gene subtypes based on lactylation clusters and identified a 7-gene signature for breast cancer survival prognosis. The prognostic score based on this signature demonstrated prognostic value and predicted the therapeutic response. Conclusion: Lactylation-related genes play a critical role in breast cancer by influencing tumor growth, immune microenvironment, and drug response. This lactylation-related gene signature may serve as a prognostic marker and a potential therapeutic target for breast cancer.

Indexed as

Breast cancerDrug responseGene signatureImmune infiltrationLactylationPrognostic model

Identifiers

PMID38318076
PMCPMC10838739

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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.