A novel 7 RNA-based signature for prediction of prognosis and therapeutic responses of wild-type BRAF cutaneous melanoma

Ruizheng Sun; Yaozhong Liu; Cheng Lei; Zhenwei Tang; Lixia Lu

doi:10.1186/s12575-022-00170-2

A novel 7 RNA-based signature for prediction of prognosis and therapeutic responses of wild-type BRAF cutaneous melanoma

Biol Proced Online. 2022 Jun 24;24(1):7. doi: 10.1186/s12575-022-00170-2.

Authors

Ruizheng Sun^{1

2

3}, Yaozhong Liu⁴, Cheng Lei², Zhenwei Tang^{5

6

7

8}, Lixia Lu^{9

10

11

12}

Affiliations

¹ Department of Dermatology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 41008, Hunan, China.
² Clinical Medicine Eight-Year Program, Central South University, Changsha, China.
³ Department of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
⁴ Department of Cardiology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
⁵ Department of Dermatology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 41008, Hunan, China. 2204140108@csu.edu.cn.
⁶ Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China. 2204140108@csu.edu.cn.
⁷ Hunan Engineering Research Center of Skin Health and Disease, Changsha, Hunan, China. 2204140108@csu.edu.cn.
⁸ National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China. 2204140108@csu.edu.cn.
⁹ Department of Dermatology, Xiangya Hospital, Central South University, 87# Xiangya Road, Changsha, 41008, Hunan, China. lulixia@csu.edu.cn.
¹⁰ Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China. lulixia@csu.edu.cn.
¹¹ Hunan Engineering Research Center of Skin Health and Disease, Changsha, Hunan, China. lulixia@csu.edu.cn.
¹² National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan, China. lulixia@csu.edu.cn.

Abstract

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.

Keywords: BRAF; Melanoma; Prognosis; Signature; TCGA; mTOR.