Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma

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Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma. / Ravi, Vidhya M; Will, Paulina; Kueckelhaus, Jan; Sun, Na; Joseph, Kevin; Salié, Henrike; Vollmer, Lea; Kuliesiute, Ugne; von Ehr, Jasmin; Benotmane, Jasim K; Neidert, Nicolas; Follo, Marie; Scherer, Florian; Goeldner, Jonathan M; Behringer, Simon P; Franco, Pamela; Khiat, Mohammed; Zhang, Junyi; Hofmann, Ulrich G; Fung, Christian; Ricklefs, Franz L; Lamszus, Katrin; Boerries, Melanie; Ku, Manching; Beck, Jürgen; Sankowski, Roman; Schwabenland, Marius; Prinz, Marco; Schüller, Ulrich; Killmer, Saskia; Bengsch, Bertram; Walch, Axel K; Delev, Daniel; Schnell, Oliver; Heiland, Dieter Henrik.

in: CANCER CELL, Jahrgang 40, Nr. 6, 13.06.2022, S. 639-655.e13.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

Harvard

Ravi, VM, Will, P, Kueckelhaus, J, Sun, N, Joseph, K, Salié, H, Vollmer, L, Kuliesiute, U, von Ehr, J, Benotmane, JK, Neidert, N, Follo, M, Scherer, F, Goeldner, JM, Behringer, SP, Franco, P, Khiat, M, Zhang, J, Hofmann, UG, Fung, C, Ricklefs, FL, Lamszus, K, Boerries, M, Ku, M, Beck, J, Sankowski, R, Schwabenland, M, Prinz, M, Schüller, U, Killmer, S, Bengsch, B, Walch, AK, Delev, D, Schnell, O & Heiland, DH 2022, 'Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma', CANCER CELL, Jg. 40, Nr. 6, S. 639-655.e13. https://doi.org/10.1016/j.ccell.2022.05.009

APA

Ravi, V. M., Will, P., Kueckelhaus, J., Sun, N., Joseph, K., Salié, H., Vollmer, L., Kuliesiute, U., von Ehr, J., Benotmane, J. K., Neidert, N., Follo, M., Scherer, F., Goeldner, J. M., Behringer, S. P., Franco, P., Khiat, M., Zhang, J., Hofmann, U. G., ... Heiland, D. H. (2022). Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma. CANCER CELL, 40(6), 639-655.e13. https://doi.org/10.1016/j.ccell.2022.05.009

Vancouver

Bibtex

@article{5165d56798bf492eab71f51c4fe149b7,
title = "Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma",
abstract = "Glioblastomas are malignant tumors of the central nervous system hallmarked by subclonal diversity and dynamic adaptation amid developmental hierarchies. The source of dynamic reorganization within the spatial context of these tumors remains elusive. Here, we characterized glioblastomas by spatially resolved transcriptomics, metabolomics, and proteomics. By deciphering regionally shared transcriptional programs across patients, we infer that glioblastoma is organized by spatial segregation of lineage states and adapts to inflammatory and/or metabolic stimuli, reminiscent of the reactive transformation in mature astrocytes. Integration of metabolic imaging and imaging mass cytometry uncovered locoregional tumor-host interdependence, resulting in spatially exclusive adaptive transcriptional programs. Inferring copy-number alterations emphasizes a spatially cohesive organization of subclones associated with reactive transcriptional programs, confirming that environmental stress gives rise to selection pressure. A model of glioblastoma stem cells implanted into human and rodent neocortical tissue mimicking various environments confirmed that transcriptional states originate from dynamic adaptation to various environments.",
keywords = "Brain Neoplasms/pathology, Glioblastoma/pathology, Humans, Metabolomics/methods",
author = "Ravi, {Vidhya M} and Paulina Will and Jan Kueckelhaus and Na Sun and Kevin Joseph and Henrike Sali{\'e} and Lea Vollmer and Ugne Kuliesiute and {von Ehr}, Jasmin and Benotmane, {Jasim K} and Nicolas Neidert and Marie Follo and Florian Scherer and Goeldner, {Jonathan M} and Behringer, {Simon P} and Pamela Franco and Mohammed Khiat and Junyi Zhang and Hofmann, {Ulrich G} and Christian Fung and Ricklefs, {Franz L} and Katrin Lamszus and Melanie Boerries and Manching Ku and J{\"u}rgen Beck and Roman Sankowski and Marius Schwabenland and Marco Prinz and Ulrich Sch{\"u}ller and Saskia Killmer and Bertram Bengsch and Walch, {Axel K} and Daniel Delev and Oliver Schnell and Heiland, {Dieter Henrik}",
note = "Copyright {\textcopyright} 2022 The Author(s). Published by Elsevier Inc. All rights reserved.",
year = "2022",
month = jun,
day = "13",
doi = "10.1016/j.ccell.2022.05.009",
language = "English",
volume = "40",
pages = "639--655.e13",
journal = "CANCER CELL",
issn = "1535-6108",
publisher = "Cell Press",
number = "6",

}

RIS

TY - JOUR

T1 - Spatially resolved multi-omics deciphers bidirectional tumor-host interdependence in glioblastoma

AU - Ravi, Vidhya M

AU - Will, Paulina

AU - Kueckelhaus, Jan

AU - Sun, Na

AU - Joseph, Kevin

AU - Salié, Henrike

AU - Vollmer, Lea

AU - Kuliesiute, Ugne

AU - von Ehr, Jasmin

AU - Benotmane, Jasim K

AU - Neidert, Nicolas

AU - Follo, Marie

AU - Scherer, Florian

AU - Goeldner, Jonathan M

AU - Behringer, Simon P

AU - Franco, Pamela

AU - Khiat, Mohammed

AU - Zhang, Junyi

AU - Hofmann, Ulrich G

AU - Fung, Christian

AU - Ricklefs, Franz L

AU - Lamszus, Katrin

AU - Boerries, Melanie

AU - Ku, Manching

AU - Beck, Jürgen

AU - Sankowski, Roman

AU - Schwabenland, Marius

AU - Prinz, Marco

AU - Schüller, Ulrich

AU - Killmer, Saskia

AU - Bengsch, Bertram

AU - Walch, Axel K

AU - Delev, Daniel

AU - Schnell, Oliver

AU - Heiland, Dieter Henrik

N1 - Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

PY - 2022/6/13

Y1 - 2022/6/13

N2 - Glioblastomas are malignant tumors of the central nervous system hallmarked by subclonal diversity and dynamic adaptation amid developmental hierarchies. The source of dynamic reorganization within the spatial context of these tumors remains elusive. Here, we characterized glioblastomas by spatially resolved transcriptomics, metabolomics, and proteomics. By deciphering regionally shared transcriptional programs across patients, we infer that glioblastoma is organized by spatial segregation of lineage states and adapts to inflammatory and/or metabolic stimuli, reminiscent of the reactive transformation in mature astrocytes. Integration of metabolic imaging and imaging mass cytometry uncovered locoregional tumor-host interdependence, resulting in spatially exclusive adaptive transcriptional programs. Inferring copy-number alterations emphasizes a spatially cohesive organization of subclones associated with reactive transcriptional programs, confirming that environmental stress gives rise to selection pressure. A model of glioblastoma stem cells implanted into human and rodent neocortical tissue mimicking various environments confirmed that transcriptional states originate from dynamic adaptation to various environments.

AB - Glioblastomas are malignant tumors of the central nervous system hallmarked by subclonal diversity and dynamic adaptation amid developmental hierarchies. The source of dynamic reorganization within the spatial context of these tumors remains elusive. Here, we characterized glioblastomas by spatially resolved transcriptomics, metabolomics, and proteomics. By deciphering regionally shared transcriptional programs across patients, we infer that glioblastoma is organized by spatial segregation of lineage states and adapts to inflammatory and/or metabolic stimuli, reminiscent of the reactive transformation in mature astrocytes. Integration of metabolic imaging and imaging mass cytometry uncovered locoregional tumor-host interdependence, resulting in spatially exclusive adaptive transcriptional programs. Inferring copy-number alterations emphasizes a spatially cohesive organization of subclones associated with reactive transcriptional programs, confirming that environmental stress gives rise to selection pressure. A model of glioblastoma stem cells implanted into human and rodent neocortical tissue mimicking various environments confirmed that transcriptional states originate from dynamic adaptation to various environments.

KW - Brain Neoplasms/pathology

KW - Glioblastoma/pathology

KW - Humans

KW - Metabolomics/methods

U2 - 10.1016/j.ccell.2022.05.009

DO - 10.1016/j.ccell.2022.05.009

M3 - SCORING: Journal article

C2 - 35700707

VL - 40

SP - 639-655.e13

JO - CANCER CELL

JF - CANCER CELL

SN - 1535-6108

IS - 6

ER -