Tissue Elasticity as a Diagnostic Marker of Molecular Mutations in Morphologically Heterogeneous Colorectal Cancer.

Anton A Plekhanov,Dmitry S Kozlov, Anastasia A Shepeleva,Elena B Kiseleva,Liubov E Shimolina,Irina N Druzhkova, Maria A Plekhanova,Maria M Karabut,Ekaterina V Gubarkova, Alena I Gavrina, Dmitry P Krylov, Alexander A Sovetsky,Sergey V Gamayunov,Daria S Kuznetsova, Vladimir Y Zaitsev,Marina A Sirotkina,Natalia D Gladkova

International journal of molecular sciences(2024)

引用 0|浏览0
暂无评分
摘要
The presence of molecular mutations in colorectal cancer (CRC) is a decisive factor in selecting the most effective first-line therapy. However, molecular analysis is routinely performed only in a limited number of patients with remote metastases. We propose to use tissue stiffness as a marker of the presence of molecular mutations in CRC samples. For this purpose, we applied compression optical coherence elastography (C-OCE) to calculate stiffness values in regions corresponding to specific CRC morphological patterns (n = 54). In parallel to estimating stiffness, molecular analysis from the same zones was performed to establish their relationships. As a result, a high correlation between the presence of KRAS/NRAS/BRAF driver mutations and high stiffness values was revealed regardless of CRC morphological pattern type. Further, we proposed threshold stiffness values for label-free targeted detection of molecular alterations in CRC tissues: for KRAS, NRAS, or BRAF driver mutation-above 803 kPa (sensitivity-91%; specificity-80%; diagnostic accuracy-85%), and only for KRAS driver mutation-above 850 kPa (sensitivity-90%; specificity-88%; diagnostic accuracy-89%). To conclude, C-OCE estimation of tissue stiffness can be used as a clinical diagnostic tool for preliminary screening of genetic burden in CRC tissues.
更多
查看译文
关键词
colorectal cancer,compression optical coherence elastography,tissue stiffness,morphological patterns,molecular analysis,driver mutation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要