Identification of immune-related biomarkers associated with tumorigenesis and prognosis in cutaneous melanoma patients
B Huang, W Han, ZF Sheng, GL Shen - Cancer cell international, 2020 - Springer
Background Skin cutaneous melanoma (SKCM) is one of the most malignant and
aggressive cancers, causing about 72% of deaths in skin carcinoma. Although extensive
study has explored the mechanism of recurrence and metastasis, the tumorigenesis of
cutaneous melanoma remains unclear. Exploring the tumorigenesis mechanism may help
identify prognostic biomarkers that could serve to guide cancer therapy. Method Integrative
bioinformatics analyses, including GEO database, TCGA database, DAVID, STRING …
aggressive cancers, causing about 72% of deaths in skin carcinoma. Although extensive
study has explored the mechanism of recurrence and metastasis, the tumorigenesis of
cutaneous melanoma remains unclear. Exploring the tumorigenesis mechanism may help
identify prognostic biomarkers that could serve to guide cancer therapy. Method Integrative
bioinformatics analyses, including GEO database, TCGA database, DAVID, STRING …
[HTML][HTML] Identification of immune-related biomarkers associated with tumorigenesis and prognosis in skin cutaneous melanoma
ZH Ji, WZ Ren, S Yang, DX Wang… - American Journal of …, 2022 - ncbi.nlm.nih.gov
Skin cutaneous melanoma (SKCM) is one of the most malignant and aggressive forms of
cancer. Investigating the mechanisms of carcinogenesis further could lead to the discovery
of prognostic biomarkers that could be used to guide cancer treatment. In this study, we
conducted integrative bioinformatics analyses of TCGA database, STRING, cBioPortal,
TRRUST, The Human Protein Atlas, and DGIdb to determine which hub genes contributed to
tumor progression and the cancer-associated immunology of SKCM. The results show that …
cancer. Investigating the mechanisms of carcinogenesis further could lead to the discovery
of prognostic biomarkers that could be used to guide cancer treatment. In this study, we
conducted integrative bioinformatics analyses of TCGA database, STRING, cBioPortal,
TRRUST, The Human Protein Atlas, and DGIdb to determine which hub genes contributed to
tumor progression and the cancer-associated immunology of SKCM. The results show that …
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