As one of the most prevalent malignancies, lung cancer displays considerable biological variability in both molecular and clinical characteristics. Lung cancer is broadly categorized into small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) with the latter being most prevalent. The primary histological subtypes of NSCLC are lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). In the present work, we primarily extracted mRNA count data from a publicly accessible database followed by differentially expressed genes (DEGs) and differentially expressed mitophagy-related genes (DEMRGs) identification in case of both LUAD and LUSC cohorts. Next, we identified important DEMRGs via clustering approach followed by enrichment, survival, and mutational analyses. Lastly, the finalized prognostic biomarker was validated using wet-lab experimentations. Primarily, we obtained 986 and 1714 DEGs across LUAD and LUSC cohorts. Only 7 DEMRGs from both cohorts had significant membership values as indicated by the clustering analysis. Most significant pathway, Gene Ontology (GO)-biological process (BP), GO-molecular function (MF), GO-cellular compartment (CC) terms were macroautophagy, GTP metabolic process, magnesium ion binding, mitochondrial outer membrane. Among all, only TDRKH reported significant overall survival (OS) and 14% amplification across LUAD patients. Lastly, we validated TDRKH via immunohistochemistry (IHC) and semi-quantitative polymerase chain reaction (PCR). In conclusion, our findings advocate for the exploration of TDRKH and their genetic alterations in precision oncology therapeutic approaches for LUAD, emphasizing the potential for target-driven therapy and early diagnostics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-024-04127-y.
Investigating the role of prognostic mitophagy-related genes in non-small cell cancer pathogenesis via multiomics and network-based approach.
通过多组学和基于网络的方法研究预后线粒体自噬相关基因在非小细胞癌症发病机制中的作用
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作者:Singh Prithvi, Tabassum Gulnaz, Masood Mohammad, Anwar Saleha, Syed Mansoor Ali, Dev Kapil, Hassan Md Imtaiyaz, Haque Mohammad Mahfuzul, Dohare Ravins, Singh Indrakant Kumar
| 期刊: | 3 Biotech | 影响因子: | 2.900 |
| 时间: | 2024 | 起止号: | 2024 Nov;14(11):273 |
| doi: | 10.1007/s13205-024-04127-y | 研究方向: | 细胞生物学 |
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