Radiogenomic-based prediction of genetic alterations in oncogenic signaling pathways in lung cancer

• DOI: 10.1186/s43042-025-00711-w
• Publication Date: 2025-04-23T06:15:47Z
• Authors: Priyadharshini Ja...; Gowtham Murugesan; Jeyakumar Natarajan

Abstract Rationale and objectives Lung adenocarcinoma, a type of non-small cell lung cancer (NSCLC), originates from the peripheral tissue is most prevalent histologic subtype, constituting around 40% cases. Understanding intricate relationships among signaling pathways their changes in adenocarcinoma crucial for developing targeted therapies personalized treatment. This study aimed to analyze utility radiomics assessing alterations oncogenic cancer. Materials methods We investigated use radiomic features extracted computed topography (CT) scan images four patients along with alteration data retrieved online resource (cBioPortal) generate signatures associated specific pathways. The combined dataset was used identify significant CT images. Results A total 3408 were images, five TP53, Hippo, Cell cycle, Myc, Notch determined using PyRadiomics. Hypothesis testing identified 161, 91, 105, 89, 9 that significantly differed between no ROC values 0.82, 0.78, 0.75, 0.83, respectively. Hippo pathway exhibited strong correlation Myc cycle Conclusion highlights potential integrating genetic These findings provide insights could aid development more precise effective treatment strategies precision medicine enhance our understanding adenocarcinoma.