4.3 Article

The Identification of Prognostic and Metastatic Alternative Splicing in Skin Cutaneous Melanoma

Journal

CANCER CONTROL
Volume 29, Issue -, Pages -

Publisher

SAGE PUBLICATIONS INC
DOI: 10.1177/10732748211051554

Keywords

skin cutaneous melanoma; alternative splicing; metastasis; prediction model

Categories

Funding

  1. National Natural Science Foundation of China [81702659, 82173168, 81772856, 82073207, 81801620]
  2. Youth Fund of Shanghai Municipal Health Planning Commission [2017YQ054]
  3. Shanghai Municipal Health Commission [201940306]
  4. Shanghai Rising-Star Program [21QA1407500]
  5. Henan medical science and technology research project [201602031]

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This study investigated the impact of alternative splicing events (ASEs) of pre-RNA on the prognosis of skin cutaneous melanoma (SKCM) and its related mechanism. Four ASEs were found to be associated with overall survival in SKCM patients, and an effective prediction model was constructed. An aberrant splicing event of aminoacyl tRNA synthetase complex-interacting multifunctional protein 2 (AIMP2) regulated by CDC-like kinase 1 (CLK1) was associated with metastasis and stage of SKCM. Co-expression analysis revealed that the galactose metabolism pathway was associated with AIMP2. External database validation confirmed the association of AIMP2, CLK1, and galactose metabolism with SKCM metastasis and stage.
Skin cutaneous melanoma (SKCM) is a type of highly invasive cancer originated from melanocytes. It is reported that aberrant alternative splicing (AS) plays an important role in the neoplasia and metastasis of many types of cancer. Therefore, we investigated whether ASEs of pre-RNA have such an influence on the prognosis of SKCM and the related mechanism of ASEs in SKCM. The RNA-seq data and ASEs data for SKCM patients were obtained from the TCGA and TCGASpliceSeq database. The univariate Cox regression revealed 1265 overall survival-related splicing events (OS-SEs). Screened by Lasso regression, 4 OS-SEs were identified and used to construct an effective prediction model (AUC: .904), whose risk score was proved to be an independent prognostic factor. Furthermore, Kruskal-Wallis test and Mann-Whitney-Wilcoxon test showed that an aberrant splicing type of aminoacyl tRNA synthetase complex-interacting multifunctional protein 2 (AIMP2) regulated by CDC-like kinase 1 (CLK1) was associated with the metastasis and stage of SKCM. Besides, the overlapped signal pathway for AIMP2 was galactose metabolism identified by the co-expression analysis. External database validation also confirmed that AIMP2, CLK1, and the galactose metabolism were associated with the metastasis and stage of SKCM patients. ChIP-seq and ATAC-seq methods further confirmed the transcription regulation of CLK1, AIMP2, and other key genes, whose cellular expression was detected by Single Cell Sequencing. In conclusion, we proposed that CLK1-regulated AIMP2-78704-ES might play a critical role in the tumorigenesis and metastasis of SKCM via galactose metabolism. Besides, we established an effective model with MTMR14-63114-ES, URI1-48867-ES, BATF2-16724-AP, and MED22-88025-AP to predict the metastasis and prognosis of SKCM patients.

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