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Abstract #0027

MRI-based habitats to quantify tumor microenvironment normalization in glioblastoma: validation with histology and transcriptomics

Junfeng Zhang1 and Hao Wu2
1Radiology, General Hospital of Western Theater Command of PLA, Chengdu, China, 2Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China

Synopsis

Keywords: Tumors (Post-Treatment), Quantitative Imaging, Habitat imaging

Motivation: The lack of in vivo and noninvasive biomarkers to quantify tumor microenvironment (TME) normalization hinders the evaluation of bevacizumab (BEV) therapy response in glioblastoma (GBM).

Goal(s): To quantify TME normalization during BEV therapy in GBM by conventional and multiparametric MRI (mpMRI).

Approach: The MRI-based habitats were generated by Gaussian mixture model in patient-derived GBM models. Spatial-paired analyses of MRI, histology, and single-cell RNA sequencing were performed to validate the effetiveness of habitats.

Results: A total of eight habitats were generated to quantify TME normalization spatiotemporally. Habitat7 was strongly correlated with TME normalization-associated phenotypes including pericyte coverage, hypoxia and immune cell infiltration.

Impact: We developed and validated a quantitative mpMRI-based biomarker to characterize TME normalization in GBM. This may provide a new in vivo approach for precise evaluation of BEV therapy response in GBM noninvasively.

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