ArticleCellular oncology (Dordrecht, Netherlands)2024
Integrated analysis of single-cell RNA-seq and bulk RNA-seq reveals immune suppression subtypes and establishes a novel signature for determining the prognosis in lung adenocarcinoma.
Article in Cellular oncology (Dordrecht, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Research trends in lung cancer and the tumor microenvironment: a bibliometric analysis of studies published from 2014 to 2023.Frontiers in oncology · 2024Pooled it
- Cross-species insights from ART-D to uncover evolutionarily conserved oncogenic mechanisms.Molecular systems biology · 2026Article
- Single-cell-marker-based subtyping and multi-level analyses uncover the prognostic effects, dysregulations and therapeutic indicative potential of an eight-gene signature in lung adenocarcinoma.Cancer cell international · 2026Article
- Single-cell transcriptomic analysis identifies a tumor-enriched GIMAP7⁺ CD4⁺ naïve T cell population with a unique immunoregulatory state in lung adenocarcinoma.Functional & integrative genomics · 2026Article
- Spatial and single-cell transcriptomic profiling reveals interplay between SRGN-associated epithelial programs and C1QC+ macrophages in early LUAD progression.Journal of translational medicine · 2026Article
- Integrated analysis of scRNA-seq and bulk RNA-seq identifies matrisome-related biomarkers for prognostic stratification and immune landscape in lung adenocarcinoma.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2026Article
- Article
- Single-cell transcriptomic analysis reveals key cell types and pathogenic genes associated with metastasis in pancreatic adenocarcinoma.Clinical and experimental medicine · 2025Article
- Spatial distribution of tertiary lymphoid structures in the molecular and clinical context of non-small cell lung cancer.Cellular oncology (Dordrecht, Netherlands) · 2025Article
- Integrative analysis of genetic variability and functional traits in lung adenocarcinoma epithelial cells via single-cell RNA sequencing, GWAS, bayesian deconvolution, and machine learning.Genes & genomics · 2025Article
- Leveraging Single-Cell Multi-Omics to Decode Tumor Microenvironment Diversity and Therapeutic Resistance.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Network pharmacology and UHPLC-HRMS reveal the mechanism of QSFZYL and BMSCs overexpressing IFN-γ against lung adenocarcinoma.Frontiers in immunology · 2025Article
- Expression of PSMD14 in lung adenocarcinoma and its impact on immune cell infiltration and prognosis: a comprehensive analysis based on RNA and single-cell RNA sequencing.Frontiers in immunology · 2025Article
- Fatty acid metabolism influences the immune microenvironment in papillary thyroid cancer and identifies SCD as a novel biomarker.Frontiers in endocrinology · 2025Article
- Multi-omics in exploring the pathophysiology of diabetic retinopathy.Frontiers in cell and developmental biology · 2024Review
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5 authors at 2 institutions in 1 country.
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Abstract
backgroundLung adenocarcinoma (LUAD) is the most common histological type of lung cancer with lower survival rates. Recent advancements in targeted therapies and immunotherapies targeting immune checkpoints have achieved remarkable success, there is still a large percentage of LUAD that lacks available therapeutic options. Due to tumor heterogeneity, the diagnosis and treatment of LUAD are challenging. Exploring the biology of LUAD and identifying new biomarker and therapeutic targets options are essential.
methodWe performed single-cell RNA sequencing (scRNA-seq) of 6 paired primary and adjacent LUAD tissues, and integrative omics analysis of the scRNA-seq, bulk RNA-seq and whole-exome sequencing data revealed molecular subtype characteristics. Our experimental results confirm that CDC25C gene can serve as a potential marker for poor prognosis in LUAD.
resultsWe investigated aberrant gene expression in diverse cell types in LUAD via the scRNA-seq data. Moreover, multi-omics clustering revealed four subgroups defined by transcriptional profile and molecular subtype 4 (MS4) with poor survival probability, and immune cell infiltration signatures revealed that MS4 tended to be the immunosuppressive subtype. Our study revealed that the CDC25C gene can be a distinct prognostic biomarker that indicates immune infiltration levels and response to immunotherapy in LUAD patients. Our experimental results concluded that CDC25C expression affects lung cancer cell invasion and migration, might play a key role in regulating Epithelial-Mesenchymal Transition (EMT) pathways.
conclusionsOur multi-omics result revealed a comprehensive set of molecular attributes associated with prognosis-related genes in LUAD at the cellular and tissue level. Identification of a subtype of immunosuppressive TME and prognostic signature for LUAD. We identified the cell cycle regulation gene CDC25C affects lung cancer cell invasion and migration, which can be used as a potential biomarker for LUAD.
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