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通过加权相关网络分析和机器学习鉴定及验证肺腺癌中与巴豆酰化相关的诊断标志物

Identification and validation of crotonylation-related diagnostic markers for lung adenocarcinoma via weighted correlation network analysis and machine learning.

作者信息

Hu Bowen, Chen Xin, Zou Dan, Du Xiaoyue, Feng Sitong, Shen Yiwen, Sha Xiaofeng, Jiang Feng, Zhou Guoren, Lin Fan, Käsmann Lukas, Shen Bo

机构信息

Department of Oncology, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China.

Department of Oncology, Huai'an People's Hospital of Hongze District, Huai'an, China.

出版信息

Transl Lung Cancer Res. 2025 Mar 31;14(3):940-962. doi: 10.21037/tlcr-2025-204. Epub 2025 Mar 27.

DOI:10.21037/tlcr-2025-204
PMID:40248736
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12000956/
Abstract

BACKGROUND

Lung adenocarcinoma (LUAD) is one of the most common tumors in terms of incidence and mortality worldwide. Posttranslational modifications, including crotonylation, play a crucial role in various biological processes and diseases. However, the role of crotonylation in LUAD remains unclear. Our research focuses on identifying key genes in LUAD that are linked to crotonylation and prognosis. We also aim to clarify their role in the LUAD microenvironment to advance clinical translation of related targets.

METHODS

We used RNA-sequencing data from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) database to identify differentially expressed genes (DEGs) related to crotonylation in LUAD. Weighted correlation network analysis (WGCNA) was applied to construct gene networks, and hub genes were identified using protein-protein interaction (PPI) analysis. The prognostic value of hub genes was assessed using Kaplan-Meier plots, and the correlation with immune infiltration was analyzed via Tumor Immune Estimation Resource (TIMER) and other algorithms. We then verified these genes through clinical samples and confirmed the role of in LUAD.

RESULTS

We identified , , , and as potential crotonylation-related biomarkers for LUAD. These genes were found to be overexpressed in LUAD and were associated with poor prognosis. They also showed significant correlations with immune cell infiltration and immune-inflammatory pathways. Functional experiments confirmed that knockdown inhibited cell proliferation and migration, induced apoptosis, and enhanced the efficacy of immunotherapy in LUAD.

CONCLUSIONS

Our study suggests that crotonylation-related genes, particularly , may serve as novel therapeutic targets and diagnostic markers for LUAD.

摘要

背景

肺腺癌（LUAD）是全球发病率和死亡率最高的常见肿瘤之一。包括巴豆酰化在内的翻译后修饰在各种生物过程和疾病中起着关键作用。然而，巴豆酰化在肺腺癌中的作用仍不清楚。我们的研究重点是确定肺腺癌中与巴豆酰化和预后相关的关键基因。我们还旨在阐明它们在肺腺癌微环境中的作用，以推动相关靶点的临床转化。

方法

我们使用来自癌症基因组图谱（TCGA）和基因型-组织表达（GTEx）数据库的RNA测序数据，以识别肺腺癌中与巴豆酰化相关的差异表达基因（DEG）。应用加权基因共表达网络分析（WGCNA）构建基因网络，并使用蛋白质-蛋白质相互作用（PPI）分析确定枢纽基因。使用Kaplan-Meier图评估枢纽基因的预后价值，并通过肿瘤免疫估计资源（TIMER）和其他算法分析与免疫浸润的相关性。然后，我们通过临床样本验证了这些基因，并证实了它们在肺腺癌中的作用。

结果

我们确定了[具体基因名称1]、[具体基因名称2]、[具体基因名称3]和[具体基因名称4]作为肺腺癌潜在的巴豆酰化相关生物标志物。这些基因在肺腺癌中过度表达，并与不良预后相关。它们还与免疫细胞浸润和免疫炎症途径显示出显著相关性。功能实验证实，[具体基因名称1]敲低可抑制细胞增殖和迁移，诱导细胞凋亡，并增强肺腺癌免疫治疗的疗效。

结论

我们的研究表明，巴豆酰化相关基因，特别是[具体基因名称1]，可能作为肺腺癌的新型治疗靶点和诊断标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/b98b4043754a/tlcr-14-03-940-f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/bd46b788393f/tlcr-14-03-940-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/ab7ed43f2a2d/tlcr-14-03-940-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/fab936e48dd9/tlcr-14-03-940-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/44c71e0148f1/tlcr-14-03-940-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/c81eaeadbdee/tlcr-14-03-940-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/3bf73d736988/tlcr-14-03-940-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/fe017bd8f1d8/tlcr-14-03-940-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/a51f88e2d3f1/tlcr-14-03-940-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/df1f898d7c0c/tlcr-14-03-940-f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/b98b4043754a/tlcr-14-03-940-f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/bd46b788393f/tlcr-14-03-940-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/ab7ed43f2a2d/tlcr-14-03-940-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/fab936e48dd9/tlcr-14-03-940-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/44c71e0148f1/tlcr-14-03-940-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/c81eaeadbdee/tlcr-14-03-940-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/3bf73d736988/tlcr-14-03-940-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/fe017bd8f1d8/tlcr-14-03-940-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/a51f88e2d3f1/tlcr-14-03-940-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/df1f898d7c0c/tlcr-14-03-940-f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/112a/12000956/b98b4043754a/tlcr-14-03-940-f10.jpg

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本文引用的文献

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Lancet Respir Med. 2025 Apr;13(4):348-363. doi: 10.1016/S2213-2600(24)00428-4. Epub 2025 Feb 3.
2
Construction of a neutrophil extracellular trap formation-related gene model for predicting the survival of lung adenocarcinoma patients and their response to immunotherapy.构建用于预测肺腺癌患者生存率及其对免疫治疗反应的中性粒细胞胞外诱捕网形成相关基因模型。
Transl Lung Cancer Res. 2024 Dec 31;13(12):3407-3425. doi: 10.21037/tlcr-24-463. Epub 2024 Dec 27.
3
Inhibition of miR-9-3p facilitates ferroptosis by activating SAT1/p53 pathway in lung adenocarcinoma.
抑制miR-9-3p通过激活肺腺癌中的SAT1/p53通路促进铁死亡。
Transl Lung Cancer Res. 2024 Dec 31;13(12):3426-3442. doi: 10.21037/tlcr-24-762. Epub 2024 Dec 27.
4
Characteristics of the immune microenvironment and their clinical significance in lung adenocarcinoma patients with different ALK fusion variants.不同ALK融合变异的肺腺癌患者免疫微环境特征及其临床意义
Transl Lung Cancer Res. 2024 Dec 31;13(12):3538-3554. doi: 10.21037/tlcr-24-682. Epub 2024 Dec 27.
5
Construction and validation of a prognostic model based on oxidative stress-related genes in non-small cell lung cancer (NSCLC): predicting patient outcomes and therapy responses.基于氧化应激相关基因的非小细胞肺癌（NSCLC）预后模型的构建与验证：预测患者预后和治疗反应
Transl Lung Cancer Res. 2024 Nov 30;13(11):3152-3174. doi: 10.21037/tlcr-24-888. Epub 2024 Nov 28.
6
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7
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Ann Oncol. 2024 Dec;35(12):1088-1104. doi: 10.1016/j.annonc.2024.10.006. Epub 2024 Oct 15.
8
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J Transl Med. 2024 Sep 29;22(1):874. doi: 10.1186/s12967-024-05651-4.
9
Hypoxia-induced downregulation of PGK1 crotonylation promotes tumorigenesis by coordinating glycolysis and the TCA cycle.缺氧诱导的 PGK1 琥珀酰化下调通过协调糖酵解和三羧酸循环促进肿瘤发生。
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10
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J Thorac Dis. 2024 Jun 30;16(6):3967-3989. doi: 10.21037/jtd-24-818. Epub 2024 Jun 28.