ArticleBioMed research international2021
Tumor Immune Microenvironment Characterization of Primary Lung Adenocarcinoma and Lymph Node Metastases.
Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Integrated scRNA-Seq and functional profiling reveal CD52 as a driver of pancreatic ductal adenocarcinoma metastasis and immunosuppression.Oncogenesis · 2026Article
- The role of YTHDF1 in the diagnosis and prognosis of lung adenocarcinoma and its inhibitor LY-411575 in the targeted intervention of lung adenocarcinoma growth.Translational cancer research · 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
- CORO1A: a pan-cancer prognosis, diagnostic and immune biomarker based on breast cancer validation.Frontiers in oncology · 2025Article
- Clinical significance and immune landscape of a novel immune cell infiltration-based prognostic model in lung adenocarcinoma.Heliyon · 2024Article
- Article
- Expression Landscape and Functional Roles of HOXA4 and HOXA5 in Lung Adenocarcinoma.International journal of medical sciences · 2022Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe essential roles of the tumor microenvironment (TME) have been recognized during the initiation and progression of primary lung adenocarcinoma (LUAD). The aim of the present study was to delineate the immune landscape in both primary cancer and matched lymph node metastasis from a cohort of locally advanced stage LUAD patients with distinct outcomes.
methodsFormalin-fixed, paraffin-embedded samples were collected from 36 locally advanced LUAD patients. Transcriptome data of the tumor immune microenvironment were resolved using an immune oncology panel RNA sequencing platform. Bioinformatics approaches were used to determine the differentially expressed genes (DEGs), dysregulated pathways, and immune cell fraction between patients with early recurrence (ER) and late recurrence (LR).
resultsHere, we showed that in primary cancer tissues, 23 DEGs were obtained between patients with ER and LR. Functional analysis revealed that the LR in LUAD patients may be associated with enriched gene sets belonging to the antigen presentation and MHC protein complex, innate immune response, and IFN-
conclusionsIn LUAD, the enrichment in antigen presentation, MHC protein complex, and IFN-
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