Single-cell RNA-sequencing and genome-wide Mendelian randomisation along with abundant machine learning methods identify a novel B cells signature in gastric cancer

Single-cell RNA-sequencing and genome-wide Mendelian randomisation along with abundant machine learning methods identify a novel B cells signature in gastric cancer

Abstract Background Gastric cancer (GC) has a poor prognosis, considerable cellular heterogeneity, and ranks fifth among malignant tumours. Understanding the tumour microenvironment (TME) and intra-tumor heterogeneity (ITH) may lead to the development of novel GC treatments. Methods The single-cell...

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Bibliographic Details
Main Authors: Qi Ma, Jie Gao, Yuan Hui, Zhi-Ming Zhang, Yu-Jie Qiao, Bin-Feng Yang, Ting Gong, Duo-Ming Zhao, Bang-Rong Huang
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Oncology
Subjects:
Gastric cancer
Single-cell RNA sequencing
Diagnostic biomarker
Machine learning
Bioinformatics
Online Access:https://doi.org/10.1007/s12672-025-01759-1
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https://doi.org/10.1007/s12672-025-01759-1

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