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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Oncol. | doi: 10.3389/fonc.2019.00676

Spatial Distance Correlates with Genetic Distance in Diffuse Glioma

  • 1University of Texas MD Anderson Cancer Center, United States
  • 2Graduate School of Biomedical Sciences, MD Anderson Cancer Center, United States
  • 3Langone Medical Center, New York University, United States
  • 4Rice University, United States
  • 5Baylor College of Medicine, United States

Background: Treatment effectiveness and overall prognosis for glioma patients depend heavily on the genetic and epigenetic factors in each individual tumor. However, intra-tumoral genetic heterogeneity is known to exist and needs to be managed. Currently, evidence for genetic changes varying spatially within the tumor is qualitative, and quantitative data is lacking. We hypothesized that a greater genetic diversity or “genetic distance” would be observed for distinct tumor samples taken with larger physical distances between them.
Methods: Stereotactic biopsies were obtained from untreated primary glioma patients as part of a clinical trial between 2011 and 2016, with at least one biopsy pair collected in each case. The physical (Euclidean) distance between biopsy sites was determined using coordinates from imaging studies. The tissue samples underwent whole exome DNA sequencing and epigenetic methylation profiling and genomic distances were defined in three separate ways derived from differences in number of genes, copy number variations (CNV), and methylation profiles.
Results: Of the 31 patients recruited to the trial, 23 were included in DNA methylation analysis, for a total of 71 tissue samples (14 female, 9 male patients, age range 21-80). Samples from an 8 patient subset of the 23 evaluated patients were further included in whole exome and copy number variation analysis. Physical and genomic distances were found to be independently and positively correlated for each of the three genomic distance measures. The correlation coefficients were 0.63, 0.65 and 0.35 respectively for a) gene level mutations, b) copy number variation and c) methylation status. We also derived quantitative linear relationships between physical and genomic distances.
Conclusion: Primary brain tumors are genetically heterogeneous, and the physical distance within a given glioma correlates to genomic distance using multiple orthogonal genomic assessments. These data should be helpful in the clinical diagnostic and therapeutic management of glioma, for example by: managing sampling error, and estimating genetic heterogeneity using simple imaging inputs.

Keywords: Glioma, Glioblastoma, Stereotactic Biopsy, epigenomics and epigenetics, Genomics

Received: 30 Apr 2019; Accepted: 10 Jul 2019.

Edited by:

Liam Chen, Johns Hopkins University, United States

Reviewed by:

Alfredo Conti, University of Messina, Italy
Sunit Das, St. Michael's Hospital, Canada  

Copyright: © 2019 Gates, Yang, Fukumura, Lin, Weinberg, Prabhu, Long, Fuentes, Sulman, Huse and Schellingerhout. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mx. Dawid Schellingerhout, University of Texas MD Anderson Cancer Center, Houston, 77030, Texas, United States,