ArticleDisease markers2022
Immune Infiltration Analysis with the CIBERSORT Method in Lung Cancer.
Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 49 citations in OpenAlex.
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- The Aberrant Activation of NLRP3 in Microsatellites Stability Colon Cancer Promotes M2 Macrophage Polarization Based on the TCGA Database and Tissue Microarray Analysis.Cancer reports (Hoboken, N.J.) · 2026Article
- Integrative bioinformatics-machine learning-experimental validation identifies shared immunomodulatory targets in psoriasis and psoriatic arthritis and deciphers allicin's therapeutic mechanism.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Machine Learning Reveals the Association Between Gene Expression and Immune Infiltration in Colorectal Cancer: A Comprehensive Study From Single-Cell to Survival Analysis.Journal of cellular and molecular medicine · 2026Article
- Identification of Paraptosis-Related Renal Cell Carcinoma Subtypes, Construction of a Prognostic Signature, and Determination of Tumor Microenvironment Landscape Using Bioinformatic Analysis and Experimental Verification.Current issues in molecular biology · 2026Article
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- EMCN is associated with vascular-immune crosstalk and represents a potential biomarker in lung adenocarcinoma.Frontiers in molecular biosciences · 2026Article
- Identification of PD-1-Related Genes as Prognostic Biomarkers in Lung Adenocarcinoma.Human mutation · 2026Article
- Multi-cohort transcriptomics integration for building and validating a diagnostic model of peripheral blood septic shock.Frontiers in immunology · 2026Article
- Identification of metabolic reprogramming-associated biomarkers in endometriosis through integrated bioinformatics analysis.Hereditas · 2025Article
- Molecular Mechanisms of Perivascular Macrophages in Alzheimer's Disease: Insights from Single-Cell Sequencing and Mendelian Randomization.Cellular and molecular neurobiology · 2025Article
- Causal association of antibody-mediated immune responses to infectious disease agents with lung cancer: a Mendelian randomization study.Discover oncology · 2025Article
- Plin2 Coordinates Immune and Metabolic Reprogramming in Lacrimal Gland Aging.Investigative ophthalmology & visual science · 2025Article
- Dual roles of LncRNA RNA143598: a biomarker for rheumatoid arthritis and its implications in cancer.Clinical rheumatology · 2025Article
- Regulatory role of CD177+ neutrophils in BMP signaling pathway and its implications for inflammatory bowel disease, sepsis, and intestinal tumors.Translational oncology · 2025Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Immune infiltration of lung cancer (LC) is tightly related to clinical results. Nevertheless, past researches have not elucidated the diversities of functionally different cellular types making up the immunoresponse. Methods: In the present research, on the foundation of a deconvolution algorithm (CIBERSORT) and clinically annotated expression profiles, our team studied the tumor-infiltrating immune cells (TIICs) presenting in 502 LC samples and 49 normal samples in a comprehensive way. The fraction of 22 immunocyte subgroups was assessed to identify the relationship among every cellular type and survival and reaction to chemical therapies. Results: Consequently, profiles of immunity infiltration change remarkably between paired tumor and precancerous tissues, and the change can describe the diversity of individuals. Of the cellular subgroups studied, cancers without dendritic resting cells or with a decreased quantity of follicular helper T (Tfh) cells were related to the poor prognosis. Correlation analysis between different stages of LC and 22 immune cell subpopulations revealed that the amount of 14 immune cells in LC was remarkably related to tumor stage. The high expression of resting dendritic cells and follicular helper T cells predicted better prognostic value, and univariate analyses proved that two TIICs were significantly associated with patients' prognosis. Conclusions: To sum up, the data herein reveal that there may be subtle differences in the cell constituents of the immune infiltrate in LC, and those diversities may be vital determinating factors of prognostic results and reactions to therapies.
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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.