scholarly journals Prognostic Biomarkers of Cutaneous Melanoma

2022 ◽  
Author(s):  
Liang Ding ◽  
Alexandra Gosh ◽  
Delphine J. Lee ◽  
Gabriella Emri ◽  
Wendy J. Huss ◽  
...  
Keyword(s):  
Cutaneous Melanoma ◽  
Prognostic Biomarkers

scholarly journals New Prognostic Biomarkers and Drug Targets for Skin Cutaneous Melanoma via Comprehensive Bioinformatic Analysis and Validation

2021 ◽  
Vol 11 ◽  
Author(s):  
Sitong Zhou ◽  
Yuanyuan Han ◽  
Jiehua Li ◽  
Xiaobing Pi ◽  
Jin Lyu ◽  
...  
Keyword(s):  
Cutaneous Melanoma ◽  
Drug Targets ◽  
Bioinformatic Analysis ◽  
Prognostic Biomarkers ◽  
Gene Module ◽  
Hub Genes ◽  
Protein Levels ◽  
Heterogeneous Features ◽  
Expression Module ◽  
Malignancy Potential

Skin cutaneous melanoma (SKCM) is the most aggressive and fatal type of skin cancer. Its highly heterogeneous features make personalized treatments difficult, so there is an urgent need to identify markers for early diagnosis and therapy. Detailed profiles are useful for assessing malignancy potential and treatment in various cancers. In this study, we constructed a co-expression module using expression data for cutaneous melanoma. A weighted gene co-expression network analysis was used to discover a co-expression gene module for the pathogenesis of this disease, followed by a comprehensive bioinformatics analysis of selected hub genes. A connectivity map (CMap) was used to predict drugs for the treatment of SKCM based on hub genes, and immunohistochemical (IHC) staining was performed to validate the protein levels. After discovering a co-expression gene module for the pathogenesis of this disease, we combined GWAS validation and DEG analysis to identify 10 hub genes in the most relevant module. Survival curves indicated that eight hub genes were significantly and negatively associated with overall survival. A total of eight hub genes were positively correlated with SKCM tumor purity, and 10 hub genes were negatively correlated with the infiltration level of CD4+ T cells and B cells. Methylation levels of seven hub genes in stage 2 SKCM were significantly lower than those in stage 3. We also analyzed the isomer expression levels of 10 hub genes to explore the therapeutic target value of 10 hub genes in terms of alternative splicing (AS). All 10 hub genes had mutations in skin tissue. Furthermore, CMap analysis identified cefamandole, ursolic acid, podophyllotoxin, and Gly-His-Lys as four targeted therapy drugs that may be effective treatments for SKCM. Finally, IHC staining results showed that all 10 molecules were highly expressed in melanoma specimens compared to normal samples. These findings provide new insights into SKCM pathogenesis based on multi-omics profiles of key prognostic biomarkers and drug targets. GPR143 and SLC45A2 may serve as drug targets for immunotherapy and prognostic biomarkers for SKCM. This study identified four drugs with significant potential in treating SKCM patients.

Diagnostic and Prognostic Biomarkers in Cutaneous Melanoma

2013 ◽  
pp. 911-928
Author(s):  
Eijun Itakura ◽  
Alistair Cochran
Keyword(s):  
Cutaneous Melanoma ◽  
Prognostic Biomarkers

scholarly journals Immune expression signatures as candidate prognostic biomarkers of age and gender survival differences in cutaneous melanoma

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yi-Jun Kim ◽  
Kyubo Kim ◽  
Kye Hwa Lee ◽  
Jiyoung Kim ◽  
Wonguen Jung
Keyword(s):  
Cutaneous Melanoma ◽  
Prognostic Biomarkers ◽  
Age And Gender ◽  
And Gender ◽  
Survival Differences

MicroRNAs in cutaneous melanoma: Role as diagnostic and prognostic biomarkers

2018 ◽  
Vol 233 (7) ◽  
pp. 5133-5141 ◽  
Author(s):  
Casey L. Ross ◽  
Shivani Kaushik ◽  
Rodrigo Valdes-Rodriguez ◽  
Rina Anvekar
Keyword(s):  
Cutaneous Melanoma ◽  
Prognostic Biomarkers

scholarly journals The Therapeutic and Prognostic Value of Chemokine Receptors (CXCRs) in Skin Cutaneous Melanoma (SKCM) Progression

2021 ◽  
Author(s):  
Sumei Huang ◽  
Guangwen Wang ◽  
Mengying Kou ◽  
Yisheng Huang ◽  
He Yanhong ◽  
...  
Keyword(s):  
T Cell Activation ◽  
Cutaneous Melanoma ◽  
Chemokine Receptors ◽  
Prognostic Value ◽  
Cell Activation ◽  
Prognostic Biomarkers ◽  
Receptor Interaction ◽  
Transcriptional Level ◽  
Potential Target ◽  
Negative Effect

Abstract Introduction:Skin cutaneous melanoma (SKCM) is an aggressive cancer and associates with CXC chemokine receptors (CXCRs). CXCRs is a group of membrane protein involved in tumor initiation, progression, and outcome. However, the therapeutic and prognostic value of CXCRs in SKCM remained elusive. Methods: we used multiple, publicly available datasets for the analysis of CXCRs in SKCM. These datasets included GEPIA, UALCAN, TISIDB, DAVID 6.8, Metascape, GSCALite, and TIMER. Results: CXCR3 and CXCR4 were elevated in tumor samples in comparison to healthy ones. CXCR3, CXCR4, CXCR5, CXCR6, and CXCR7 were transcriptionally upregulated in the metastasis SKCM tissues compared to the primary tissues. The CXCR3, CXCR4, CXCR5, and CXCR6 were positively correlated to more prolonged overall survival (OS) at the transcriptional level. Meanwhile, CXCR3, CXCR4, and CXCR6 had an association with the stage in SKCM patients. The drug sensitivity analysis showed CXCR4 as a potential target of drug screening. The function of CXCRs and the neighboring genes mainly enriched in T cell activation, cytokine-cytokine receptor interaction, and leukocyte migration. Cancer pathway analysis showed that all the CXCRs positively affect apoptosis and EMT pathway and negative effect on the cell cycle, DNA damage response, and hormone AR pathway. Furthermore, CXCR3, CXCR4, CXCR5, and CXCR6 were positively correlated with the infiltration of lymphocytes and expression of PD-1, PD-L1, and CTLA-4. Conclusions: we found that CXCR3, CXCR4, CXCR5, and CXCR6 may provide essential clues about credible prognostic biomarkers, especially CXCR4 may be a potential target and prognostic biomarkers in the progression of SKCM.

scholarly journals Assessment Of Circulating Free DNA (CFDNA) and Circulating Melanoma Cells (CMCS) as Prognostic Biomarkers in Metastatic Cutaneous Melanoma

2012 ◽  
Vol 23 ◽  
pp. ix87-ix88
Author(s):  
K. Aung ◽  
L.T. Khoja ◽  
C. Zhou ◽  
M. Lancashire ◽  
R. Sloane ◽  
...  
Keyword(s):  
Cutaneous Melanoma ◽  
Melanoma Cells ◽  
Prognostic Biomarkers ◽  
Circulating Free Dna ◽  
Free Dna

scholarly journals Tissue prognostic biomarkers in primary cutaneous melanoma

2014 ◽  
Vol 464 (3) ◽  
pp. 265-281 ◽  
Author(s):  
Mario Mandalà ◽  
Daniela Massi
Keyword(s):  
Cutaneous Melanoma ◽  
Prognostic Biomarkers ◽  
Primary Cutaneous Melanoma
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