Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer
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...
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Elsevier
2024-02-01
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Series: | Heliyon |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024008089 |
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author | Yangchi Jiao Fuqing Ji Lan Hou Yonggang Lv Juliang Zhang |
author_facet | Yangchi Jiao Fuqing Ji Lan Hou Yonggang Lv Juliang Zhang |
author_sort | Yangchi Jiao |
collection | DOAJ |
description | 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. |
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format | Article |
id | doaj.art-a02772c4ef6b41d880688ad2537fa4b1 |
institution | Directory Open Access Journal |
issn | 2405-8440 |
language | English |
last_indexed | 2024-03-08T00:12:19Z |
publishDate | 2024-02-01 |
publisher | Elsevier |
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series | Heliyon |
spelling | doaj.art-a02772c4ef6b41d880688ad2537fa4b12024-02-17T06:38:37ZengElsevierHeliyon2405-84402024-02-01103e24777Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancerYangchi Jiao0Fuqing Ji1Lan Hou2Yonggang Lv3Juliang Zhang4Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, ChinaDepartment of Thyroid Breast Surgery, Xi'an NO.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, ChinaDepartment of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, ChinaDepartment of Thyroid Breast Surgery, Xi'an NO.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, ChinaDepartment of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Air Force Military Medical University, Xi'an, Shaanxi, China; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S2405844024008089Breast cancerLactylationGene signaturePrognostic modelImmune infiltrationDrug response |
spellingShingle | Yangchi Jiao Fuqing Ji Lan Hou Yonggang Lv Juliang Zhang Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer Heliyon Breast cancer Lactylation Gene signature Prognostic model Immune infiltration Drug response |
title | Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer |
title_full | Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer |
title_fullStr | Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer |
title_full_unstemmed | Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer |
title_short | Lactylation-related gene signature for prognostic prediction and immune infiltration analysis in breast cancer |
title_sort | lactylation related gene signature for prognostic prediction and immune infiltration analysis in breast cancer |
topic | Breast cancer Lactylation Gene signature Prognostic model Immune infiltration Drug response |
url | http://www.sciencedirect.com/science/article/pii/S2405844024008089 |
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