ArticleJournal of translational medicine2022
A novel immune checkpoints-based signature to predict prognosis and response to immunotherapy in lung adenocarcinoma.
Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Vorinostat Potentiates Chemoimmunotherapy in Immune-Enriched Pancreatic Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole-Blood RNA Transcriptome.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- Barking up the right tree: Immune checkpoint signatures of human and dog cancers.PLoS computational biology · 2025Article
- The prognostic significance and Immunomodulatory role of SCGB3A1 expression in stage I lung adenocarcinoma.BMC medical genomics · 2025Article
- Exploring the role of TIGIT in patients with Small Cell Lung Cancer as a novel predictor of prognosis and immunotherapy response.Cancer immunology, immunotherapy : CII · 2025Article
- CRABP2 (Cellular Retinoic Acid Binding Protein 2D): A novel biomarker for the diagnosis and prognosis involved in immune infiltration of lung adenocarcinoma.Journal of Cancer · 2025Article
- A fatty acid metabolism-related genes model for predicting the prognosis and immunotherapy effect of lung adenocarcinoma.Cancer biomarkers : section A of Disease markers · 2024Article
- Development of a novel centrosome-related risk signature to predict prognosis and treatment response in lung adenocarcinoma.Discover oncology · 2024Article
- Identification of CD160-TM as a tumor target on triple negative breast cancers: possible therapeutic applications.Breast cancer research : BCR · 2024Article
- Article
- Fatty acid metabolism prognostic signature predicts tumor immune microenvironment and immunotherapy, and identifies tumorigenic role of MOGAT2 in lung adenocarcinoma.Frontiers in immunology · 2024Article
- Integrating multi-omics and machine learning survival frameworks to build a prognostic model based on immune function and cell death patterns in a lung adenocarcinoma cohort.Frontiers in immunology · 2024Article
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Authors and funding
11 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExcept for B7-CD28 family members, more novel immune checkpoints are being discovered. They are closely associated with tumor immune microenvironment and regulate the function of many immune cells. Various cancer therapeutic studies targeting these novel immune checkpoints are currently in full swing. However, studies concerning novel immune checkpoints phenotypes and clinical significance in lung adenocarcinoma (LUAD) are still limited.
methodsWe enrolled 1883 LUAD cases from nine different cohorts. The samples from The Cancer Genome Atlas (TCGA) were used as a training set, whereas seven microarray data cohorts and an independent cohort with 102 qPCR data were used for validation. The immune profiles and potential mechanism of the system were also explored.
resultsAfter univariate Cox proportional hazards regression and stepwise multivariable Cox analysis, a novel immune checkpoints-based system (LTA, CD160, and CD40LG) were identified from the training set, which significantly stratified patients into high- and low-risk groups with different survivals. Furthermore, this system has been well validated in different clinical subgroups and multiple validation cohorts. It also acted as an independent prognostic factor for patients with LAUD in different cohorts. Further exploration suggested that high-risk patients exhibited distinctive immune cells infiltration and suffered an immunosuppressive state. Additionally, this system is closely linked to various classical immunotherapy biomarkers.
conclusionwe constructed a novel immune checkpoints-based system for LUAD, which predicts prognosis and immunotherapeutic implications. We believe that these findings will not only aid in clinical management but will also shed some light on screening appropriate patients for immunotherapy.
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