12 drugs were identified for OSCC treatment, such as BMS-754807_2171 and Foretinib_2040. Our study identified 9 DE-DRLs correlated with OSCC, which will be a personalized prediction tool for prognosis and immune responses in OSCC patients.
PCM did not enhance cell viability when IGF1R was silenced or inhibited with linsitinib, demonstrating the pathway's essential role. Finally, PCM also conferred resistance to osimertinib in patient-derived EGFR-mutant lung adenocarcinoma cell lines. Our study demonstrates that the intra-tumoral bacteria C. indologenes may significantly influence sensitivity to osimertinib or impart resistance in EGFR-mutant lung adenocarcinoma by activating the IGF1R signaling pathway.
Through drug sensitivity analysis, several drugs exhibited significant correlation with risk score, and molecular docking illustrated that both dactolisib and linsitinib were capable of binding tightly with most signature genes, making them potential candidates for targeted therapeutic approaches of LGG. Thus, this model can stratify LGG patients with distinct gene expression features, immune landscape, genomic instability and microbiota features. By stratifying patients with risk score, this risk model may improve the accuracy of prognostic prediction for LGG patients, which might provide new insights into the molecular targeted therapy for individual treatment in a risk score-specific manner.