ArticleScientific reports2020
Gene expression analysis in formalin fixed paraffin embedded melanomas is associated with density of corresponding immune cells in those tissues.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Stratifying hepatocellular carcinoma based on immunophenotypes for immunotherapy response and prognosis.Molecular therapy. Oncology · 2024Article
- Optimizing Patient Pathways in Advanced Biliary Tract Cancers: Recent Advances and a French Perspective.Targeted oncology · 2023Review
- Protein expression of prognostic genes in primary melanoma and benign nevi.Journal of cancer research and clinical oncology · 2022Article
- Associations of immune cell homing gene signatures and infiltrates of lymphocyte subsets in human melanomas: discordance with CD163Journal of translational medicine · 2021Article
- Identification of a Hematopoietic Cell Population Emerging From Mouse Bone Marrow With Proliferative PotentialFrontiers in immunology · 2021Article
- Development of an Immune-Related Gene Signature for Prognosis in Melanoma.Frontiers in oncology · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Immune cell infiltrates in melanoma have important prognostic value. Gene expression analysis may simultaneously quantify numbers and function of multiple immune cell subtypes in formalin-fixed paraffin-embedded (FFPE) tissues. Prior studies report single gene expression can represent individual immune cell subtypes, but this has not been shown in FFPE melanomas. We hypothesized that gene expression profiling of human melanomas using a new RNA expression technology in FFPE tissue would correlate with the same immune cells identified by immunohistochemistry (IHC). This retrospective study included melanoma specimens analyzed by IHC on tumor tissue microarray (TMA) cores and by gene expression profiling with EdgeSeq Immuno-Oncology Assay using qNPA technology on the corresponding tumors. Standardized gene expression levels were analyzed relative to enumerated cells by IHC using Spearman rank test to calculate r-values. Multivariate analysis was performed by Kruskal-Wallis test. 119 melanoma specimens had both IHC and gene expression information available. There were significant associations between the level of gene expression and its quantified IHC cell marker for CD45
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