ArticleFrontiers in cell and developmental biology2020
Identification of IL10RA by Weighted Correlation Network Analysis and
Article in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- Identification and validation of up-regulated TNFAIP6 in osteoarthritis with type 2 diabetes mellitus.Scientific reports · 2024Article
- Identification and validation of miR-29b-3p and LIN7A as important diagnostic markers for bone non-union by WGCNA.Journal of cellular and molecular medicine · 2024Article
- Primary and Metastatic Cutaneous Melanomas Discriminately Enrich Several Ligand-Receptor Interactions.Life (Basel, Switzerland) · 2023Article
- Down-regulated C4orf19 confers poor prognosis in colon adenocarcinoma identified by gene co-expression network.Journal of Cancer · 2022Article
- Identification of Up-Regulated ANXA3 Resulting in Fracture Non-Union in Patients With T2DM.Frontiers in endocrinology · 2022Article
- Article
- LncRNA BASP1-AS1 interacts with YBX1 to regulate Notch transcription and drives the malignancy of melanoma.Cancer science · 2021Article
- Plasma Exosome-Derived SENP1 May Be a Potential Prognostic Predictor for Melanoma.Frontiers in oncology · 2021Article
- An Immune-Related Gene Pairs Signature for Predicting Survival in Glioblastoma.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Skin cutaneous melanoma (SKCM) is the major cause of death for skin cancer patients, its high metastasis often leads to poor prognosis of patients with malignant melanoma. However, the molecular mechanisms underlying metastatic melanoma remain to be elucidated. In this study we aim to identify and validate prognostic biomarkers associated with metastatic melanoma. We first construct a co-expression network using large-scale public gene expression profiles from GEO, from which candidate genes are screened out using weighted gene co-expression network analysis (WGCNA). A total of eight modules are established via the average linkage hierarchical clustering, and 111 hub genes are identified from the clinically significant modules. Next, two other datasets from GEO and TCGA are used for further screening of biomarker genes related to prognosis of metastatic melanoma, and identified 11 key genes via survival analysis. We find that IL10RA has the highest correlation with clinically important modules among all identified biomarker genes. Further
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