Clinical End-Points Associated with Mycobacterium tuberculosis and Lung Cancer: Implications into Host-Pathogen Interaction and Coevolution.
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...
| Publicado en: | BioMed Research International Vol. 2015; pp. 1 - 10 |
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| Autores principales: | , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
10/25/2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128652197&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128652197 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 10/25/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 128652197 128652197 128652197 10.1155/2015/827829 128652197 ppf: 1 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Clinical End-Points Associated with Mycobacterium tuberculosis and Lung Cancer: Implications into Host-Pathogen Interaction and Coevolution. aug: au: Yansheng Tian Tong Hao Bin Cao Wei Zhang Yan Ma Qiang Lin Xiaomin Li affil: Central Laboratory, North China Oilfield Hospital of Hebei Medical University, Renqiu, Hebei 062552, China sug: subj: Mycobacterium Tuberculosis Lung Neoplasms Microbiology Microbiologic Phenomena Evolution Human Biological Assay Confounding Variable Linear Regression ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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