Journal: NPJ Precision Oncology

Article Title: Integrative multi-omics and machine learning reveal critical functions of proliferating cells in prognosis and personalized treatment of lung adenocarcinoma

doi: 10.1038/s41698-025-01027-z

Figure Lengend Snippet: a Kaplan–Meier survival curves for patients with low and high SPRS from the IMvigor210 cohort, demonstrating differential survival probabilities. b Graphical representation of patient responses to immunotherapy, categorized by SPRS levels, with statistical significance indicated. c , d Comparative survival analysis from two independent cohorts ( GSE91061 and GSE78220 ) showing the association between SPRS levels and survival outcomes. e GSEA plot showing the enrichment of cell cycle-related pathways in high SPRS LUAD samples. f Correlations between SPRS/model genes and IC50 of specific drugs from GDSC database. Red and blue dots indicate positive and negative correlations, respectively. g Ridge plot depicting the distribution of AUC values for various drugs, suggesting a link between SPRS and drug sensitivity. h Cellular localization of PRC1 protein in A-431 and U2OS from the HPA database. i Relative protein levels of PRC1 in LUAD tissue compared to a normal tissue, as determined by the HPA database. j Relative mRNA expression levels of five SPRS model genes in LUAD tissues compared to normal tissues, as determined by RT-qPCR. LUAD, Lung Adenocarcinoma; SPRS, Scissor+ proliferating cell risk score.

Article Snippet: Additionally, we also investigated the cellular location and the protein level of PRC1 between the normal and LUAD tissues using the Human Protein Atlas (HPA) database ( https://www.proteinatlas.org/ ).

Techniques: Expressing, Quantitative RT-PCR