Heliyon, Год журнала: 2024, Номер 10(8), С. e30123 - e30123

Опубликована: Апрель 1, 2024

BackgroundTumor genetic anomalies and immune dysregulation are pivotal in the progression of multiple myeloma (MM). Accurate patient stratification is essential for effective MM management, yet current models fail to comprehensively incorporate both molecular profiles.MethodsWe examined 776 samples from MMRF CoMMpass database, employing univariate regression with LASSO CIBERSORT algorithms identify 15 p53-related genes six cells prognostic significance MM. A p53-TIC (tumor-infiltrating cells) classifier was constructed by calculating scores using bootstrap-multicox method, which further validated externally (GSE136337) through ten-fold internal cross-validation its predictive reliability robustness.ResultsThe demonstrated excellent performance predicting prognosis Specifically, patients p53low/TIChigh subgroup had most favorable lowest tumor mutational burden (TMB). Conversely, those p53high/TIClow subgroup, least highest TMB, were predicted have best anti-PD1 anti-CTLA4 response rate (40%), can be explained their higher expression PD1 CTLA4. The three-year area under curve (AUC) 0.80 total sample.ConclusionsOur study highlights potential an integrated analysis p53-associated TIC aiding clinical decision-making patients. This finding underscores comprehending intricate interplay between abnormalities dysfunction Further research into this may lead development more treatment strategies.

Язык: Английский