Simultaneous targeted therapy for metastatic melanoma and hepatitis C

Kofler, Lukas; Berg, Christoph P.; Kofler, Katrin; Geipel, Andrea; Lipp, Hans‐Peter; Müller, Alexandra; Eigentler, Thomas; Forschner, Andrea

doi:10.1111/ddg.13952

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…[ 22 ] Also, recent researches showed that hepatitis C involved in invasion, metastasis, and prognosis of metastatic melanoma and may be potential therapeutic targets. [ 23 ]…”

Section: Discussionmentioning

confidence: 99%

Identification of lymph node metastasis-related microRNAs in breast cancer using bioinformatics analysis

Gao

Shi²,

Yao³

et al. 2020

Medicine

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“…[ 22 ] Also, recent researches showed that hepatitis C involved in invasion, metastasis, and prognosis of metastatic melanoma and may be potential therapeutic targets. [ 23 ]…”

Section: Discussionmentioning

confidence: 99%

Identification of lymph node metastasis-related microRNAs in breast cancer using bioinformatics analysis

Gao

Shi²,

Yao³

et al. 2020

Medicine

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“…Another study reported the treatment for influenza A has been long used as a treatment for Parkinson's disease (20). Also, recent researches showed that hepatitis C involved in Invasion, metastasis, and prognosis of metastatic melanoma and may be potential therapeutic targets (21).…”

Section: Discussionmentioning

confidence: 99%

STXBP5L and its related molecules as potential biomarkers in lymph node metastatic breast cancer

Gao¹,

Shen

Shi

et al. 2020

Preprint

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BackgroundLymph node metastasis is a common problem in breast cancer, and its underlying molecular mechanism is still unclear. The purpose of this study is to research the molecular mechanism and to explore the key RNAs and pathways that mediate lymph node metastasis in breast cancer.MethodsGSE100453 and GSE38167 were downloaded from the Gene Expression Omnibus (GEO) database and 569 breast cancer statistics were also downloaded from the TCGA database. Differentially expressed miRNAs were calculated by using R software and GEO2R. Gene ontology and Enriched pathway analysis of target mRNAs were analyzed by using DAVID and R software. The PPI network was constructed by using Metascape and Cytoscape software.ResultsIn total, 6 differentially expressed miRNAs were selected, and 499 mRNAs were identified after filtering. The research of KEGG indicated that mRNAs enriched in many cancer pathways. Besides, some hub mRNAs were analyzed after constructing the PPI network. A total of 3 out of 6 miRNAs had a significant relationship with the overall survival (P<0.05) and showed a good ability of risk prediction model of over survival.ConclusionBy utilizing bioinformatics analyses, differently expressed miRNAs were identified and constructed a complete gene network. Several potential mechanisms and therapeutic and prognostic targets of lymph node metastasis were also demonstrated in breast cancer.

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Identification of Key miRNAs in the Treatment of Dabrafenib-Resistant Melanoma

Gao

Yao

Shen

et al. 2021

BioMed Research International

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Dabrafenib resistance is a significant problem in melanoma, and its underlying molecular mechanism is still unclear. The purpose of this study is to research the molecular mechanism of drug resistance of dabrafenib and to explore the key genes and pathways that mediate drug resistance in melanoma. GSE117666 was downloaded from the Gene Expression Omnibus (GEO) database and 492 melanoma statistics were also downloaded from The Cancer Genome Atlas (TCGA) database. Besides, differentially expressed miRNAs (DEMs) were identified by taking advantage of the R software and GEO2R. The Database for Annotation, Visualization, and Integrated Discovery (DAVID) and FunRich was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis to identify potential pathways and functional annotations linked with melanoma chemoresistance. 9 DEMs and 872 mRNAs were selected after filtering. Then, target genes were uploaded to Metascape to construct protein-protein interaction (PPI) network. Also, 6 hub mRNAs were screened after performing the PPI network. Furthermore, a total of 4 out of 9 miRNAs had an obvious association with the survival rate ( P < 0.05 ) and showed a good power of risk prediction model of over survival. The present research may provide a deeper understanding of regulatory genes of dabrafenib resistance in melanoma.

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Simultaneous targeted therapy for metastatic melanoma and hepatitis C

Cited by 3 publications

References 13 publications

Identification of lymph node metastasis-related microRNAs in breast cancer using bioinformatics analysis

Identification of lymph node metastasis-related microRNAs in breast cancer using bioinformatics analysis

STXBP5L and its related molecules as potential biomarkers in lymph node metastatic breast cancer

Identification of Key miRNAs in the Treatment of Dabrafenib-Resistant Melanoma

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