精密医学
灵敏度(控制系统)
计算生物学
医学
生物
遗传学
工程类
电子工程
作者
Mohan Krishna Shrestha,Bishwas Mandal,Vishal Mandal,Sabin Karki,Raba Thapa
摘要
Abstract Background Acute myeloid leukaemia (AML) is a heterogeneous disease characterised by distinct French–American–British (FAB) classifications and molecular mutations. Understanding how these biological markers relate to drug responses is crucial for refining therapeutic approaches. Methods We examined drug sensitivity patterns in 186 AML patients using selective Drug Sensitivity Scores (sDSS), analysing data from 515 commercially available chemotherapeutic and targeted oncology agents. Drug sensitivity was analysed across various FAB subtypes (M0, M1, M2, M4, M4 eos, M4/M5, and M5) and important mutations (NPM1, FLT3, FLT3‐ITD, FLT3‐TKD and KIT). Results Navitoclax showed greater effectiveness in M0, M1, and M2 subtypes. NPM1 mutations were linked to increased sensitivity to multiple therapeutic agents. FLT3‐ITD mutations were associated with significant responsiveness to PI3K/mTOR inhibitors. Analysis of drug combinations revealed complexities in using multiple therapeutic agents, often leading to reduced effectiveness but providing insights into successful drug pairings. Conclusions The findings underscore the necessity for personalised therapeutic strategies in AML, advocating for treatment protocols that integrate individual mutation profiles and FAB classifications to enhance patient care and improve clinical outcomes.
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