Image-localized Biopsy Mapping of Brain Tumor Heterogeneity: A Single-Center Study Protocol

Author:

Urcuyo Javier C.ORCID,Curtin LeeORCID,Langworthy Jazlynn M.ORCID,De Leon Gustavo,Anderies BarrettORCID,Singleton Kyle W.ORCID,Hawkins-Daarud AndreaORCID,Jackson Pamela R.ORCID,Bond Kamila M.ORCID,Ranjbar SaraORCID,Lassiter-Morris Yvette,Clark-Swanson Kamala R.ORCID,Paulson Lisa E.ORCID,Sereduk Chris,Mrugala Maciej M.ORCID,Porter Alyx B.ORCID,Baxter LeslieORCID,Salomao MarcelaORCID,Donev Kliment,Hudson MilesORCID,Meyer JennaORCID,Zeeshan Qazi,Sattur MithunORCID,Patra Devi P.ORCID,Jones Breck A.,Rahme Rudy J.ORCID,Neal Matthew T.,Patel NareshORCID,Kouloumberis PelagiaORCID,Turkmani Ali H.ORCID,Lyons Mark,Krishna ChandanORCID,Zimmerman Richard S.ORCID,Bendok Bernard R.ORCID,Tran Nhan L.ORCID,Hu Leland S.ORCID,Swanson Kristin R.ORCID

Abstract

ABSTRACTBrain cancers pose a novel set of difficulties due to the limited accessibility of human brain tumor tissue. For this reason, clinical decision-making relies heavily on MR imaging interpretation, yet the mapping between MRI features and underlying biology remains ambiguous. Standard tissue sampling fails to capture the full heterogeneity of the disease. Biopsies are required to obtain a pathological diagnosis and are predominantly taken from the tumor core, which often has different traits to the surrounding invasive tumor that typically leads to recurrent disease. One approach to solving this issue is to characterize the spatial heterogeneity of molecular, genetic, and cellular features of glioma through the intraoperative collection of multiple image-localized biopsy samples paired with multi-parametric MRIs. We have adopted this approach and are currently actively enrolling patients for our ‘Image-Based Mapping of Brain Tumors’ study. Patients are eligible for this research study (IRB #16-002424) if they are 18 years or older and undergoing surgical intervention for a brain lesion. Once identified, candidate patients receive dynamic susceptibility contrast (DSC) perfusion MRI and diffusion tensor imaging (DTI), in addition to standard sequences (T1, T1Gd, T2, T2-FLAIR) at their presurgical scan. During surgery, sample locations are tracked using neuronavigation and genetic aberrations are later quantified through whole-exome and RNA sequencing. The collected specimens from this NCI-funded research study will be primarily used to generate regional maps of the spatial distribution of tumor cell density and/or treatment-related key genetic marker status across tumors, within clinically feasible time frames, to identify biopsy and/or treatment targets based on insight from the entire tumor makeup regional histologic and genetic makeup. This type of methodology, when delivered within clinically feasible time frames, has the potential to further inform medical decision-making by improving surgical intervention, radiation, and targeted drug therapy for patients with glioma. From October 1, 2017 to October 31, 2022, this study has enrolled 186 patients with 197 surgeries, of which 163 resulted in the successful collection of image-guided biopsy samples. A total of 995 biopsies have been collected of which 962 are image localized, with a mean of 5.90 image-localized samples per surgery.

Publisher

Cold Spring Harbor Laboratory

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