Cargando…

Characterization of the Genomic and Immunologic Diversity of Malignant Brain Tumors through Multisector Analysis

Despite some success in secondary brain metastases, targeted or immune-based therapies have shown limited efficacy against primary brain malignancies such as glioblastoma (GBM). Although the intratumoral heterogeneity of GBM is implicated in treatment resistance, it remains unclear whether this dive...

Descripción completa

Detalles Bibliográficos
Autores principales: Schaettler, Maximilian O., Richters, Megan M., Wang, Anthony Z., Skidmore, Zachary L., Fisk, Bryan, Miller, Katherine E., Vickery, Tammi L., Kim, Albert H., Chicoine, Michael R., Osbun, Joshua W., Leuthardt, Eric C., Dowling, Joshua L., Zipfel, Gregory J., Dacey, Ralph G., Lu, Hsiang-Chih, Johanns, Tanner M., Griffith, Obi L., Mardis, Elaine R., Griffith, Malachi, Dunn, Gavin P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296070/
https://www.ncbi.nlm.nih.gov/pubmed/34610950
http://dx.doi.org/10.1158/2159-8290.CD-21-0291
_version_ 1784750185825435648
author Schaettler, Maximilian O.
Richters, Megan M.
Wang, Anthony Z.
Skidmore, Zachary L.
Fisk, Bryan
Miller, Katherine E.
Vickery, Tammi L.
Kim, Albert H.
Chicoine, Michael R.
Osbun, Joshua W.
Leuthardt, Eric C.
Dowling, Joshua L.
Zipfel, Gregory J.
Dacey, Ralph G.
Lu, Hsiang-Chih
Johanns, Tanner M.
Griffith, Obi L.
Mardis, Elaine R.
Griffith, Malachi
Dunn, Gavin P.
author_facet Schaettler, Maximilian O.
Richters, Megan M.
Wang, Anthony Z.
Skidmore, Zachary L.
Fisk, Bryan
Miller, Katherine E.
Vickery, Tammi L.
Kim, Albert H.
Chicoine, Michael R.
Osbun, Joshua W.
Leuthardt, Eric C.
Dowling, Joshua L.
Zipfel, Gregory J.
Dacey, Ralph G.
Lu, Hsiang-Chih
Johanns, Tanner M.
Griffith, Obi L.
Mardis, Elaine R.
Griffith, Malachi
Dunn, Gavin P.
author_sort Schaettler, Maximilian O.
collection PubMed
description Despite some success in secondary brain metastases, targeted or immune-based therapies have shown limited efficacy against primary brain malignancies such as glioblastoma (GBM). Although the intratumoral heterogeneity of GBM is implicated in treatment resistance, it remains unclear whether this diversity is observed within brain metastases and to what extent cancer cell–intrinsic heterogeneity sculpts the local immune microenvironment. Here, we profiled the immunogenomic state of 93 spatially distinct regions from 30 malignant brain tumors through whole-exome, RNA, and T-cell receptor sequencing. Our analyses identified differences between primary and secondary malignancies, with gliomas displaying more spatial heterogeneity at the genomic and neoantigen levels. In addition, this spatial diversity was recapitulated in the distribution of T-cell clones in which some gliomas harbored highly expanded but spatially restricted clonotypes. This study defines the immunogenomic landscape across a cohort of malignant brain tumors and contains implications for the design of targeted and immune-based therapies against intracranial malignancies. SIGNIFICANCE: This study describes the impact of spatial heterogeneity on genomic and immunologic characteristics of gliomas and brain metastases. The results suggest that gliomas harbor significantly greater intratumoral heterogeneity of genomic alterations, neoantigens, and T-cell clones than brain metastases, indicating the importance of multisector analysis for clinical or translational studies. This article is highlighted in the In This Issue feature, p. 1
format Online
Article
Text
id pubmed-9296070
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher American Association for Cancer Research
record_format MEDLINE/PubMed
spelling pubmed-92960702022-07-19 Characterization of the Genomic and Immunologic Diversity of Malignant Brain Tumors through Multisector Analysis Schaettler, Maximilian O. Richters, Megan M. Wang, Anthony Z. Skidmore, Zachary L. Fisk, Bryan Miller, Katherine E. Vickery, Tammi L. Kim, Albert H. Chicoine, Michael R. Osbun, Joshua W. Leuthardt, Eric C. Dowling, Joshua L. Zipfel, Gregory J. Dacey, Ralph G. Lu, Hsiang-Chih Johanns, Tanner M. Griffith, Obi L. Mardis, Elaine R. Griffith, Malachi Dunn, Gavin P. Cancer Discov Research Articles Despite some success in secondary brain metastases, targeted or immune-based therapies have shown limited efficacy against primary brain malignancies such as glioblastoma (GBM). Although the intratumoral heterogeneity of GBM is implicated in treatment resistance, it remains unclear whether this diversity is observed within brain metastases and to what extent cancer cell–intrinsic heterogeneity sculpts the local immune microenvironment. Here, we profiled the immunogenomic state of 93 spatially distinct regions from 30 malignant brain tumors through whole-exome, RNA, and T-cell receptor sequencing. Our analyses identified differences between primary and secondary malignancies, with gliomas displaying more spatial heterogeneity at the genomic and neoantigen levels. In addition, this spatial diversity was recapitulated in the distribution of T-cell clones in which some gliomas harbored highly expanded but spatially restricted clonotypes. This study defines the immunogenomic landscape across a cohort of malignant brain tumors and contains implications for the design of targeted and immune-based therapies against intracranial malignancies. SIGNIFICANCE: This study describes the impact of spatial heterogeneity on genomic and immunologic characteristics of gliomas and brain metastases. The results suggest that gliomas harbor significantly greater intratumoral heterogeneity of genomic alterations, neoantigens, and T-cell clones than brain metastases, indicating the importance of multisector analysis for clinical or translational studies. This article is highlighted in the In This Issue feature, p. 1 American Association for Cancer Research 2022-01-01 2021-10-05 /pmc/articles/PMC9296070/ /pubmed/34610950 http://dx.doi.org/10.1158/2159-8290.CD-21-0291 Text en ©2021 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
spellingShingle Research Articles
Schaettler, Maximilian O.
Richters, Megan M.
Wang, Anthony Z.
Skidmore, Zachary L.
Fisk, Bryan
Miller, Katherine E.
Vickery, Tammi L.
Kim, Albert H.
Chicoine, Michael R.
Osbun, Joshua W.
Leuthardt, Eric C.
Dowling, Joshua L.
Zipfel, Gregory J.
Dacey, Ralph G.
Lu, Hsiang-Chih
Johanns, Tanner M.
Griffith, Obi L.
Mardis, Elaine R.
Griffith, Malachi
Dunn, Gavin P.
Characterization of the Genomic and Immunologic Diversity of Malignant Brain Tumors through Multisector Analysis
title Characterization of the Genomic and Immunologic Diversity of Malignant Brain Tumors through Multisector Analysis
title_full Characterization of the Genomic and Immunologic Diversity of Malignant Brain Tumors through Multisector Analysis
title_fullStr Characterization of the Genomic and Immunologic Diversity of Malignant Brain Tumors through Multisector Analysis
title_full_unstemmed Characterization of the Genomic and Immunologic Diversity of Malignant Brain Tumors through Multisector Analysis
title_short Characterization of the Genomic and Immunologic Diversity of Malignant Brain Tumors through Multisector Analysis
title_sort characterization of the genomic and immunologic diversity of malignant brain tumors through multisector analysis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296070/
https://www.ncbi.nlm.nih.gov/pubmed/34610950
http://dx.doi.org/10.1158/2159-8290.CD-21-0291
work_keys_str_mv AT schaettlermaximiliano characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT richtersmeganm characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT wanganthonyz characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT skidmorezacharyl characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT fiskbryan characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT millerkatherinee characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT vickerytammil characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT kimalberth characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT chicoinemichaelr characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT osbunjoshuaw characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT leuthardtericc characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT dowlingjoshual characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT zipfelgregoryj characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT daceyralphg characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT luhsiangchih characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT johannstannerm characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT griffithobil characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT mardiselainer characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT griffithmalachi characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis
AT dunngavinp characterizationofthegenomicandimmunologicdiversityofmalignantbraintumorsthroughmultisectoranalysis