Identification of potential therapeutic targets for skin cutaneous melanoma on the basic of transcriptomics

Author:

Shi Fengling12,Li Tao12,Shi Huiling12,Wei Yushan12,Wang Juan12,Liu Canyu3,Liang Ruirong124

Affiliation:

1. Department of Oncology The Fourth Affiliated Hospital of Soochow University Suzhou Dushu Lake Hospital Medical Center of Soochow University Suzhou China

2. Division of Clinical Oncology Medical Center of Soochow University Suzhou China

3. Department of Radiation Oncology The Fourth Affiliated Hospital of Soochow University Suzhou Dushu Lake Hospital Medical Center of Soochow University Suzhou China

4. Department of Oncology The First Affiliated Hospital of Soochow University Suzhou China

Abstract

AbstractBackgroundAdvanced skin cutaneous melanoma (SKCM) is responsible for the majority of skin cancer‐related deaths. Apart from the rare BRAF V600F mutation, which can be targeted with specific drugs, there are currently no other novel effective therapeutic targets.MethodsWe used SMR analysis with cis‐expressed quantitative trait locus (cis‐eQTL) as the exposure variable and SKCM as the outcome variable to identify potential therapeutic targets for SKCM. Colocalization assays and HEIDI tests are used to test whether SKCM risk and gene expression are driven by common SNPs. Replication analysis further validated the findings, and we also constructed protein–protein interaction networks to explore the relationship between the identified genes and known SKCM targets. Drug prediction and molecular docking further validated the medicinal value of drug targets. Transcriptome differential analysis further validated that there were differences between normal tissues and SKCM for the selected targets.ResultsWe identified 13 genes significantly associated with the risk of SKCM, including five protective genes and eight harmful genes. The HEIDI test and co‐localization analysis further indicates a causal association between genes (SOX4, MAFF) and SKCM, categorized as Class 1 evidence targets. The remaining 11 genes, except for HELZ2 show a moderately causal association with SKCM, categorized as Class 2 evidence targets. Target druggability predictions from DGIdb suggest that SOX4, MAFF, ACSF3, CDK10, SPG7, and TCF25 are likely to be future drug targets.ConclusionThe study provides genetic evidence for targeting available drug genes for the treatment of SKCM.

Funder

National Natural Science Foundation of China

Beijing Xisike Clinical Oncology Research Foundation

Publisher

Wiley

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