ArticleFrontiers in oncology2021
Identification of Therapeutic Targets and Prognostic Biomarkers Among Integrin Subunits in the Skin Cutaneous Melanoma Microenvironment.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 54 citations in OpenAlex.
- Mutation-informed gene pairs to predict melanoma metastasis.Cell communication and signaling : CCS · 2026Article
- Uncovering Cellular Interactome Drivers of Immune Checkpoint Inhibitor Response in Advanced Melanoma Patients.Cellular and molecular bioengineering · 2025Article
- Therapeutic Use of Integrin Signaling in Melanoma Cells: Physical Link with the Extracellular Matrix (ECM).Cancers · 2025Review
- Genetic and immune landscape of keratoconus: insights from Mendelian randomization analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Angiogenesis-Related Genes Predict Outcomes and Immune Traits in Skin Melanoma.International journal of molecular sciences · 2025Article
- Novel immunotargets in multiple myeloma: biological relevance and therapeutic potential.Biomarker research · 2025Review
- ITGA1, the alpha 1 subunit of integrin receptor, is a novel marker of drug-resistant senescent melanoma cells in vitro.Archives of toxicology · 2025Article
- Deciphering pre-existing and induced 3D genome architecture changes involved in constricted melanoma migration.iScience · 2025Article
- Integrated Analysis of Single-Cell and Bulk RNA Data Reveals Complexity and Significance of the Melanoma Interactome.Cancers · 2025Article
- ITGB3 is a Novel Prognostic Biomarker and Correlates with Aberrant Methylation and Tumor Immunity in Clear Cell Renal Cell Carcinoma.Combinatorial chemistry & high throughput screening · 2025Article
- Pan-cancer analysis of integrin alpha family and prognosis validation in head and neck squamous cell carcinoma.Frontiers in oncology · 2025Article
- Hepatocyte growth factor promotes melanoma metastasis through ubiquitin-specific peptidase 22-mediated integrins upregulation.Cancer letters · 2024Article
- Single‑cell RNA sequencing analysis of human embryos from the late Carnegie to fetal development.Cell & bioscience · 2024Article
- Article
- Systems genetics uncover new loci containing functional gene candidates in Mycobacterium tuberculosis-infected Diversity Outbred mice.PLoS pathogens · 2024Article
- Bioinformatics analysis of markers based on m6A related to prognosis combined with immune invasion of rectal adenocarcinoma.Cancer biomarkers : section A of Disease markers · 2024Article
- Predicting immune checkpoint therapy response in three independent metastatic melanoma cohorts.Frontiers in oncology · 2024Article
- Systems genetics uncover new loci containing functional gene candidates inbioRxiv : the preprint server for biology · 2023Article
- A novel signature for predicting prognosis and immune landscape in cutaneous melanoma based on anoikis-related long non-coding RNAs.Scientific reports · 2023Article
- Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The roles of different integrin alpha/beta (ITGA/ITGB) subunits in skin cutaneous melanoma (SKCM) and their underlying mechanisms of action remain unclear. Oncomine, UALCAN, GEPIA, STRING, GeneMANIA, cBioPortal, TIMER, TRRUST, and Webgestalt analysis tools were used. The expression levels of ITGA3, ITGA4, ITGA6, ITGA10, ITGB1, ITGB2, ITGB3, ITGB4, and ITGB7 were significantly increased in SKCM tissues. The expression levels of ITGA1, ITGA4, ITGA5, ITGA8, ITGA9, ITGA10, ITGB1, ITGB2, ITGB3, ITGB5, ITGB6 and ITGB7 were closely associated with SKCM metastasis. The expression levels of ITGA1, ITGA4, ITGB1, ITGB2, ITGB6, and ITGB7 were closely associated with the pathological stage of SKCM. The expression levels of ITGA6 and ITGB7 were closely associated with disease-free survival time in SKCM, and the expression levels of ITGA6, ITGA10, ITGB2, ITGB3, ITGB6, ITGB7, and ITGB8 were markedly associated with overall survival in SKCM. We also found significant correlations between the expression of integrin subunits and the infiltration of six types of immune cells (B cells, CD8+ T cells, CD4+T cells, macrophages, neutrophils, and dendritic cells). Finally, Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed, and protein-protein interaction (PPI) networks were constructed. We have identified abnormally-expressed genes and gene regulatory networks associated with SKCM, improving understanding of the underlying pathogenesis of SKCM.
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