Article
Unravelling the metabolic landscape of cutaneous melanoma: Insights from single-cell sequencing analysis and machine learning for prognostic assessment of lactate metabolism.
Experimental dermatology - 1 Jun 2024
Xie Jiaheng, Zhang Pengpeng, Ma Chenfeng, Tang Qikai, Zhou Xinxin, Xu Xiaolong, Zhang Min, Zhao Songyun, Zhou Liping, Qi Min
Abstract excerpt
This manuscript presents a comprehensive investigation into the role of lactate metabolism-related genes as potential prognostic markers in skin cutaneous melanoma (SKCM). Bulk-transcriptome data from The Cancer Genome Atlas (TCGA) and GSE19234, GSE22153, and GSE65904 cohorts from GEO database were processed and harmonized to mitigate batch effects. Lactate metabolism scores were assigned to individual cells...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
