Assessment of chemotherapy resistance changes in human colorectal cancer xenografts in rats based on MRI histogram features

Front Oncol. 2024 Jan 31:14:1301649. doi: 10.3389/fonc.2024.1301649. eCollection 2024.

Abstract

Purpose: We investigated the value of magnetic resonance imaging (MRI) histogram features, a non-invasive method, in assessing the changes in chemoresistance of colorectal cancer xenografts in rats.

Methods: A total of 50 tumor-bearing mice with colorectal cancer were randomly divided into two groups: control group and 5-fluorouracil (5-FU) group. The MRI histogram characteristics and the expression levels of p53 protein and MRP1 were obtained at 24 h, 48 h, 72 h, 120 h, and 168 h after treatment.

Results: Sixty highly repeatable MRI histogram features were obtained. There were 16 MRI histogram parameters and MRP1 resistance protein differences between groups. At 24 h after treatment, the MRI histogram texture parameters of T2-weighted imaging (T2WI) images (10%, 90%, median, energy, and RootMeanSquared) and D images (10% and Range) were positively correlated with MRP1 (r = 0.925, p = 0.005). At 48 h after treatment, histogram texture parameters of apparent diffusion coefficient (ADC) images (Energy) were positively correlated with the presence of MRP1 resistance protein (r = 0.900, p = 0.037). There was no statistically significant difference between MRI histogram features and p53 protein expression level.

Conclusions: MRI histogram texture parameters based on T2WI, D, and ADC maps can help to predict the change of 5-FU resistance in colorectal cancer in the early stage and provide important reference significance for clinical treatment.

Keywords: MRI histogram features; Resistance; chemotherapy; human colorectal cancer xenografts; rats.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by grants from National Natural Science Foundation of China (No.82171931) and The Panyu Science and Technology Program of Guangzhou (2020-Z04-055).