ArticleSurgery2022
Multiplatform computational analysis of mast cells in adrenocortical carcinoma tumor microenvironment.
Article in Surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The Significance of CXCL1 in Cancer: An Overview of Molecular Mechanisms.International journal of molecular sciences · 2026Review
- Overcoming immunotherapy resistance in triple-negative breast cancer: a critical review of mast cell plasticity, metabolic reprogramming, and organoid models.Frontiers in immunology · 2026Review
- Tumoral ALOX5 mediated arachidonic acid metabolism regulates immune response in non-small cell lung cancer.Cellular oncology (Dordrecht, Netherlands) · 2025Article
- Relationship Between Mast Cell Population of Microenvironment and Prognosis in Colorectal Cancer.Journal of clinical medicine · 2025Article
- Significance of pathological changes and chemokine expression in various organs in a Graves' disease animal model.Journal of molecular histology · 2025Article
- The Clinical Significance and Involvement in Molecular Cancer Processes of Chemokine CXCL1 in Selected Tumors.International journal of molecular sciences · 2024Review
- Tumor-infiltrating mast cells stimulate ICOSJournal of advanced research · 2024Article
- Interplay between Immune Cell Infiltration and Tumor Histological Subtype: A Case of Adrenocortical Cancer.Cancers · 2022Article
Corrections and comments
- Commented on byDiscussion.2022
Authors and funding
6 authors.
Funding
Abstract
backgroundImmunotherapeutic response failure of adrenocortical carcinomas highlights a need for novel strategies targeting immune cell populations in the tumor microenvironment to overcome tumor resistance and enhance therapeutic response. A recent study explored a new link between tumor mast cell infiltration and improved outcomes in patients with adrenocortical carcinomas. We further dissect the role of mast cells in the tumor microenvironment of adrenocortical carcinomas by examining the tumor mast cell expression signatures and mast cell activity within the tumor microenvironment to provide additional insight into potential novel immunotherapeutic targets.
methodsUsing the CIBERSORTx computational immunogenomic deconvolution algorithm to analyze adrenocortical carcinoma tumor gene messenger RNA expression data (The Cancer Genome Atlas, N = 79), we estimated the abundance of tumor immune infiltrating mast cells and assessed prognostic potential of mast cell signaling genes as pro or antitumor signatures, as well as examined the impact on overall and disease-free survival.
resultsWe stratified mast cell signaling genes with survival prognostic values (overall survival, disease-free survival, P < .05) into antitumor (ALOX5, CCL2, CCL5, CXCL10, HDC, IL16, TNF, TPSAB1, VEGFD) and protumor (CXCL1, CXCL3, CXCL8, IL4, IL13, PTGS3, TNSF4, VEGFD) groups. Antitumor mast cell signature, as the predominant phenotype, was associated with improved overall and disease-free survival.
conclusionThe deconvolution analysis of The Cancer Genome Atlas data identified mast cell infiltration in the adrenocortical carcinoma microenvironment as predominantly associated with antitumor activity. Future studies stemming from our findings may help define the role of mast cells in the tumor microenvironment and the impact on patient survival in patients with adrenocortical carcinomas. Modulation of tumor mast cell infiltration may serve as a potential target for novel synergistic immunotherapies for the treatment and improved survival of patients with adrenocortical carcinomas.
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