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Updated: Aug 5, 2026
Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker
Published on: September 15, 2023
A comprehensive study based on large-sample multi-omics integration and machine learning to decode
Wei Zhang1, Yu-Lu Tang1, Yi-Yang Chen1
1Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Background:
Mitochondria-related genes play a crucial role in driving tumour cell progression, but little is known about their molecular mechanisms and biological pathways. This study conducted a comprehensive analysis of the mitochondrial key gene LACTB2 in digestive tract tumours and explored a novel early blood-based diagnostic model for gastric cancer (GC).
Methods:
This study analyzed LACTB2 expression, biological pathways, and immune regulation in a large cohort of 10,581 samples. IHC staining was performed using 236 internal GC samples. Multi-omics data were integrated for comprehensive analysis of LACTB2 in GC. A combination of extensive clinical samples and multiple machine learning models enabled the construction of prognostic and blood-based diagnostic models (n = 14,219).
Results:
LACTB2 overexpression is associated with clinical metastasis and the activation of pro-cancer pathways, and LACTB2 may mediate immune suppression and immune evasion through various methods. There is a significant transcriptional regulatory network upstream of LACTB2. LACTB2 overexpression may drive malignant transformation of GC epithelial cells through pro-cancer metabolic signalling networks, and the related mechanisms were spatially validated. Dysregulated expression of LACTB2 can affect the prognosis of GC patients, and Afatinib and Ulixertinib may play a significant role in targeting LACTB2 in the treatment of GC patients. An excellent early blood diagnostic model for GC was constructed based on the upstream miRNA of LACTB2.
Conclusion:
Our study provides new insights into the differential expression and pathogenesis of LACTB2 in digestive tract tumours, particularly its prognostic and diagnostic value in GC.
