Intratumoral heterogeneity after targeted therapy in murine cancer models with differing degrees of malignancy

M Gerwing1, E Hoffmann1, C Geyer1

  • 1Clinic of Radiology, University of Münster, Münster, Germany.

Translational Oncology
|September 4, 2023
PubMed
Abstract

Insights

Multiparametric MRI effectively detects changes in tumor composition after targeted cancer therapy. This advanced imaging technique reveals distinct treatment responses, including necrosis and hemorrhage, aiding in assessing treatment efficacy.

Area of Science:

  • Oncology
  • Radiology
  • Biomedical Imaging

Background:

  • Conventional methods for assessing cancer treatment response are insufficient for targeted therapies.
  • Targeted cancer therapies require advanced imaging techniques to evaluate treatment efficacy.
  • Tumor composition changes are critical indicators of response to targeted cancer treatments.

Purpose of the Study:

  • To evaluate intratumoral composition changes in murine breast cancer models after targeted therapy using non-invasive magnetic resonance imaging (MRI).
  • To compare the efficacy of immune checkpoint inhibitors (ICI) and sorafenib in altering tumor characteristics.
  • To assess the utility of multiparametric MRI in detecting therapy-induced changes in tumors with varying malignancy.

Main Methods:

  • Utilized murine models with highly malignant (4T1) and low malignant (67NR) breast tumors.
  • Administered treatments including immune checkpoint inhibitors (ICI) and sorafenib.
  • Employed a multiparametric (mp) MRI protocol (T1/T2 mapping, diffusion-weighted imaging) on a 9.4 T small animal MRI system.
  • Correlated MRI findings with ex vivo histological analysis.

Main Results:

  • All treatments increased non-viable tumor areas, with distinct patterns between tumor models and therapies.
  • ICI treatment induced intratumoral hemorrhage, while sorafenib primarily caused necrosis.
  • Treated 4T1 tumors exhibited extensive necrosis, whereas 67NR tumors showed smaller necrotic areas.
  • Intratumoral heterogeneity increased in both models post-treatment, confirmed by histology.
  • Apparent diffusion coefficient histogram analysis emerged as the most sensitive MRI metric.

Conclusions:

  • Multiparametric MRI can accurately assess therapy-related intratumoral changes.
  • mp MRI shows potential as a biomarker for evaluating targeted cancer therapy response.
  • Distinct intratumoral changes observed with different targeted treatments highlight the need for tailored imaging assessments.