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Spatial Distance Correlates With Genetic Distance in Diffuse Glioma.

ABSTRACT: 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.

SUBMITTER: Gates EDH

PROVIDER: S-EPMC6682615 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Spatial Distance Correlates With Genetic Distance in Diffuse Glioma.

Gates Evan D H EDH Yang Jie J Fukumura Kazutaka K Lin Jonathan S JS Weinberg Jeffrey S JS Prabhu Sujit S SS Long Lihong L Fuentes David D Sulman Erik P EP Huse Jason T JT Schellingerhout Dawid D

Frontiers in oncology 20190730

<b>Background:</b> 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 w ...[more]

PMID: 31417865

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Project description:Abstract PURPOSE: To correlate MR imaging findings with molecular analyses in DIPG. METHODS: Baseline MR imaging studies, including standard pre- and post-contrast MR sequences, were reviewed from patients included in our multi-institutional, IRB-approved DIPG trial NCT01182350. Prospectively acquired imaging data were analyzed after study closure, including FLAIR/T2 tumor volume; tumor volume enhancement and cyst/necrosis; median, mean, mode, skewness, and kurtosis of apparent diffusion coefficient (ADC) tumor volume based on both FLAIR and enhancement at baseline. Whole-genome and RNA-sequencing identified histone mutations. We applied univariate Cox proportional-hazards regression modeling to test the association of imaging predictors with overall (OS) and progression-free survival (PFS). Wilcoxon rank-sum, Kruskal-Wallis, and Fisher’s exact tests compared imaging measures between groups. RESULTS: Fifty patients underwent biopsy and MRI. Median age at trial registration was 6 years (range,3.3–17.5 years); 52% of patients were female. Molecular subgroup study assignments for 48 patients’ tumors were as follows: 28 in MGMT-/EGFR-, 14 in MGMT-/EGFR+, 3 in MGMT+/EGFR-, and 3 in MGMT+/EGFR+. Further genetic testing identified mutations in histones, PDGFRA, ACVR1, TP53, EGFR, PPM1D, FGFR, and/or PI3K. Twenty-three tumors possessed histone mutations in H3F3A, 8 in HIST1H3B, and 3 in HISTH3C. Median follow-up time was 11 months (range,0.4–33 months). Poorer OS (p=0.01) and PFS (p=0.001) were significantly associated with increased enhancing tumor volume. Enhancing tumor volume also differed significantly across molecular subgroups (p=0.047). Tumor enhancement, mode, skewness, and kurtosis ADC-FLAIR differed significantly (p?0.048) between patients with H3F3A and HIST1H3B mutations. Tumor enhancement, median, mode, skewness, and kurtosis ADC-FLAIR also differed significantly (p?0.048) between patients with H3F3A and HIST1H3B or HISTH3C mutations. CONCLUSIONS: MR imaging features including enhancement and ADC histogram parameters correlate to molecular subgroups in DIPG. Further studies are required to verify and refine these findings in a larger cohort.

Dataset Information

Spatial Distance Correlates With Genetic Distance in Diffuse Glioma.

Publications

Spatial Distance Correlates With Genetic Distance in Diffuse Glioma.

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