Cancers
AI-Driven Multi-Omics Approaches for Deciphering Small-Cell Lung Cancer Heterogeneity Using Nucleic-Acid-Based Features
By Saman Zeeshan, Caila McVey, Shafaq Majeed and 2 others.
Abstract
Background
Small-cell lung cancer (SCLC) is a rare but highly aggressive malignancy defined by rapid progression, early metastasis, and profound therapeutic resistance. Its extensive heterogeneity across genomic, transcriptomic, epigenetic, proteomic, and microenvironmental levels continues to undermine precision medicine. Emerging evidence highlights the complex role of epidermal growth factor receptor (EGFR) alterations, histologic transformation from EGFR-mutant non-small cell lung cancer (NSCLC) to SCLC, and the influence of distinct transcriptional subtypes on clinical behavior.