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A novel 7 RNA-based signature for prediction of prognosis and therapeutic responses of wild-type BRAF cutaneous melanoma.
Sun, Ruizheng; Liu, Yaozhong; Lei, Cheng; Tang, Zhenwei; Lu, Lixia.
Afiliación
  • Sun R; Department of Dermatology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 41008, Hunan, China.
  • Liu Y; Clinical Medicine Eight-Year Program, Central South University, Changsha, China.
  • Lei C; Department of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Tang Z; Department of Cardiology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Lu L; Clinical Medicine Eight-Year Program, Central South University, Changsha, China.
Biol Proced Online ; 24(1): 7, 2022 Jun 24.
Article en En | MEDLINE | ID: mdl-35751033
BACKGROUND: The prognosis of wild-type BRAF cutaneous melanoma (WT Bf-CM) patients remains poor due to the lack of therapeutic options. However, few studies have investigated the factors contributing to the prognosis of WT Bf-CM patients. METHODS: In this paper, we proposed and validated a novel 7-RNA based signature to predict the prognosis of WT Bf-CM by analyzing the information from TCGA database. RESULTS: Dependence of this signature to other clinical factors were verified and a nomogram was also drawn to promote its application in clinical practice. Functional analysis suggested that the predictive function of this signature might attribute to the prediction of the up-regulation of RNA splicing, transcription, and cellular proliferation in the high-risk group, which have been demonstrated to be linked to malignancy of cancer. Moreover, functional analysis and therapy response analysis supported that the prognosis is highly related to PI3K/Akt/mTOR pathway among WT Bf-CM patients. CONCLUSION: Collectively, this study will provide a preliminary bioinformatics evidence for the molecular mechanism and potential drug targets that could improving WT Bf-CM prognosis.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biol Proced Online Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biol Proced Online Año: 2022 Tipo del documento: Article País de afiliación: China