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In-depth analysis of immune cell landscapes reveals differences between lung adenocarcinoma and lung squamous cell carcinoma.

作者信息

Wang Xinfeng, Zheng Keao, Hao Zhiying

机构信息

Department of Pharmacy, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.

出版信息

Front Oncol. 2024 Jan 25;14:1338634. doi: 10.3389/fonc.2024.1338634. eCollection 2024.


DOI:10.3389/fonc.2024.1338634
PMID:38333684
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10850392/
Abstract

BACKGROUND: Lung cancer is the leading cause of cancer deaths globally, with lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) being major subtypes. Immunotherapy has emerged as a promising approach for the treatment of lung cancer, but understanding the underlying mechanisms of immune dysregulation is crucial for the development of effective therapies. This study aimed to investigate the distinctive cellular features of LUAD and LUSC and identify potential biomarkers associated with the pathogenesis and clinical outcomes of each subtype. METHODS: We used digital cytometry techniques to analyze the RNA-Seq data of 1128 lung cancer patients from The Cancer Genome Atlas (TCGA) database. The abundance of cell subtypes and ecotypes in LUAD and LUSC patients was quantified. Univariate survival analysis was used to investigate their associations with patient overall survival (OS). Differential gene expression analysis and gene co-expression network construction were carried out to explore the gene expression patterns of LUSC patients with distinct survival outcomes. Scratch wound-healing assay, colony formation assay, and transwell assay were used to validate the candidate drugs for LUSC treatment. RESULTS: We found differential expression of cell subtypes between LUAD and LUSC, with certain cell subtypes being prognostic for survival in both subtypes. We also identified differential gene expression and gene co-expression modules associated with macrophages.3/PCs.2 ratio in LUSC patients with distinct survival outcomes. Furthermore, ecotype ratios were found to be prognostic in both subtypes and machine learning models showed that certain cell subtypes, such as epithelial.cells.1, epithelial.cells.5, and endothelial.cells.2 are important for predicting LUSC. Ginkgolide B and triamterene can inhibit the proliferation, invasion, and migration of LUSC cell lines. CONCLUSION: We provide insight into the distinctive cellular features of LUAD and LUSC, and identify potential biomarkers associated with the pathogenesis and clinical outcomes of each subtype. Ginkgolide B and triamterene could be promising drugs for LUSC treatment.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/23c825e83218/fonc-14-1338634-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/995d5392fe13/fonc-14-1338634-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/ffa3a58dbf89/fonc-14-1338634-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/e0e7e969446e/fonc-14-1338634-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/d93ffb22cfdb/fonc-14-1338634-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/33d788c6c550/fonc-14-1338634-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/dade1bfe17d2/fonc-14-1338634-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/ec2855ac9710/fonc-14-1338634-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/904914046bc7/fonc-14-1338634-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/7980973ea280/fonc-14-1338634-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/23c825e83218/fonc-14-1338634-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/995d5392fe13/fonc-14-1338634-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/ffa3a58dbf89/fonc-14-1338634-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/e0e7e969446e/fonc-14-1338634-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/d93ffb22cfdb/fonc-14-1338634-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/33d788c6c550/fonc-14-1338634-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/dade1bfe17d2/fonc-14-1338634-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/ec2855ac9710/fonc-14-1338634-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/904914046bc7/fonc-14-1338634-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/7980973ea280/fonc-14-1338634-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ec3/10850392/23c825e83218/fonc-14-1338634-g010.jpg

相似文献

[1]
In-depth analysis of immune cell landscapes reveals differences between lung adenocarcinoma and lung squamous cell carcinoma.

Front Oncol. 2024-1-25

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
[Identification of differentially expressed genes between lung adenocarcinoma and squamous cell carcinoma using transcriber signature analysis].

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[10]
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引用本文的文献

[1]
Systematic scoping review of external validation studies of AI pathology models for lung cancer diagnosis.

NPJ Precis Oncol. 2025-6-7

[2]
Identification and validation of GIMAP family genes as immune-related prognostic biomarkers in lung adenocarcinoma.

Heliyon. 2024-6-15

本文引用的文献

[1]
Therapeutic strategies for BRAF mutation in non-small cell lung cancer: a review.

Front Oncol. 2023-8-14

[2]
The identification of genes associated T-cell exhaustion and construction of prognostic signature to predict immunotherapy response in lung adenocarcinoma.

Sci Rep. 2023-8-17

[3]
Predictive biomarkers of immunotherapy response with pharmacological applications in solid tumors.

Acta Pharmacol Sin. 2023-9

[4]
Repurposing of triamterene as a histone deacetylase inhibitor to overcome cisplatin resistance in lung cancer treatment.

J Cancer Res Clin Oncol. 2023-8

[5]
Immunogenomic correlates of immune-related adverse events for anti-programmed cell death 1 therapy.

Front Immunol. 2022

[6]
Reversal of cancer gene expression identifies repurposed drugs for diffuse intrinsic pontine glioma.

Acta Neuropathol Commun. 2022-10-23

[7]
Clinical predictive value of naïve and memory T cells in advanced NSCLC.

Front Immunol. 2022

[8]
What's the difference between lung adenocarcinoma and lung squamous cell carcinoma? Evidence from a retrospective analysis in a cohort of Chinese patients.

Front Endocrinol (Lausanne). 2022

[9]
The heterogeneous immune landscape between lung adenocarcinoma and squamous carcinoma revealed by single-cell RNA sequencing.

Signal Transduct Target Ther. 2022-8-26

[10]
Metabolomics and integrated network pharmacology analysis reveal that ginkgolides act as potential active anticancer components by regulating one-carbon metabolism.

J Ethnopharmacol. 2022-11-15

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