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Updated: Mar 30, 2026

A 3D Human Lung Tissue Model for Functional Studies on Mycobacterium tuberculosis Infection
Published on: October 5, 2015
Clinical End-Points Associated with Mycobacterium tuberculosis and Lung Cancer: Implications into Host-Pathogen
Yansheng Tian1, Tong Hao2, Bin Cao1
1Central Laboratory, North China Oilfield Hospital of Hebei Medical University, Renqiu, Hebei 062552, China.
Abstract:
There is a recent emerging theory that suggests a cross-link between pathogens and cancer. In this context, we examined the association between the Mycobacterium tuberculosis (MTB) with its L-forms (MTB-L) and lung cancer. In the present study, we have optimized and applied a highly sensitive assay to detect the presence of MTB and MTB-L in 187 lung cancer samples and 39 samples of other cancer origins. By carefully controlling confounding factors, we have found that 62% of the lung cancer samples are MTB-L positive, while only 5.1% of the other cancer samples are MTB-L positive. Through generalized linear models and random forest models, we have further identified a set of clinical end-points that are strongly associated with MTB-L presence. Our finding provides the basis for future studies to investigate the underlying mechanism linking MTB-L infection to lung cancer development.
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