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Tuberculosis to lung cancer: application of tuberculosis signatures in identification of lung adenocarcinoma subtypes and marker screening.
Feng, Fan; Xu, Wanjie; Lian, Chaoqun; Wang, Luyao; Wang, Ziqiang; Chen, Huili; Wang, Xiaojing; Wang, Hongtao; Zhang, Jing.
Afiliación
  • Feng F; Anhui Provincial Key Laboratory of Immunology in Chronic Diseases, Research Center of Laboratory Medicine, School of Laboratory Medicine, Bengbu Medical University, Bengbu, 233030, China.
  • Xu W; School of Biological and Food Engineering, Suzhou University, Anhui 234000, China.
  • Lian C; Department of Clinical Medicine, Bengbu Medical University, Bengbu, 233030, China.
  • Wang L; Research Center of Clinical Laboratory Science, Bengbu Medical University, Bengbu, 233030, China.
  • Wang Z; Department of Genetics, School of Life Sciences, Bengbu Medical University, Bengbu, 233030, China.
  • Chen H; Research Center of Clinical Laboratory Science, Bengbu Medical University, Bengbu, 233030, China.
  • Wang X; Research Center of Clinical Laboratory Science, Bengbu Medical University, Bengbu, 233030, China.
  • Wang H; Anhui Province Key Laboratory of Clinical and Preclinical Research in Respiratory Disease, Molecular Diagnosis Center, Joint Research Center for Regional Diseases of IHM, First Affiliated Hospital, Bengbu Medical University, Bengbu, 233030, China.
  • Zhang J; Anhui Provincial Key Laboratory of Immunology in Chronic Diseases, Research Center of Laboratory Medicine, School of Laboratory Medicine, Bengbu Medical University, Bengbu, 233030, China.
J Cancer ; 15(16): 5329-5350, 2024.
Article en En | MEDLINE | ID: mdl-39247607
ABSTRACT

Background:

There is an association between LUAD and TB, and TB increases the risk of lung adenocarcinogenesis. However, the role of TB in the development of lung adenocarcinoma has not been clarified.

Methods:

DEGs from TB and LUAD lung samples were obtained to identify TB-LUAD-shared DEGs. Consensus Clustering was performed on the TCGA cohort to characterize unique changes in TB transcriptome-derived lung adenocarcinoma subtypes. Prognostic models were constructed based on TB signatures to explore the characterization of subgroups. Finally, experimental validation and single-cell analysis of potential markers were performed.

Results:

We characterized three molecular subtypes with unique clinical features, cellular infiltration, and pathway change manifestations. We constructed and validated TB-related Signature in six cohorts. TB-related Signature has characteristic alterations, and can be used as an effective predictor of immunotherapy response. Prognostically relevant novel markers KRT80, C1QTNF6, and TRPA1 were validated by RT-qPCR. The association between KRT80 and lung adenocarcinoma disease progression was verified in Bulk transcriptome and single-cell transcriptome.

Conclusion:

For the first time, a comprehensive bioinformatics analysis of tuberculosis signatures was used to identify subtypes of lung adenocarcinoma. The TB-related Signature predicted prognosis and identified potential markers. This result reveals a potential pathogenic association of tuberculosis in the progression of lung adenocarcinoma.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Cancer Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Australia
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Cancer Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Australia