---
_id: '8592'
abstract:
- lang: eng
  text: Glioblastoma is the most malignant cancer in the brain and currently incurable.
    It is urgent to identify effective targets for this lethal disease. Inhibition
    of such targets should suppress the growth of cancer cells and, ideally also precancerous
    cells for early prevention, but minimally affect their normal counterparts. Using
    genetic mouse models with neural stem cells (NSCs) or oligodendrocyte precursor
    cells (OPCs) as the cells‐of‐origin/mutation, it is shown that the susceptibility
    of cells within the development hierarchy of glioma to the knockout of insulin‐like
    growth factor I receptor (IGF1R) is determined not only by their oncogenic states,
    but also by their cell identities/states. Knockout of IGF1R selectively disrupts
    the growth of mutant and transformed, but not normal OPCs, or NSCs. The desirable
    outcome of IGF1R knockout on cell growth requires the mutant cells to commit to
    the OPC identity regardless of its development hierarchical status. At the molecular
    level, oncogenic mutations reprogram the cellular network of OPCs and force them
    to depend more on IGF1R for their growth. A new‐generation brain‐penetrable, orally
    available IGF1R inhibitor harnessing tumor OPCs in the brain is also developed.
    The findings reveal the cellular window of IGF1R targeting and establish IGF1R
    as an effective target for the prevention and treatment of glioblastoma.
acknowledgement: The authors thank Drs. J. Eisen, QR. Lu, S. Duan, Z‐H. Li, W. Mo,
  and Q. Wu for their critical comments on the manuscript. They also thank Dr. H.
  Zong for providing the CKO_NG2‐CreER model. This work is supported by the National
  Key Research and Development Program of China, Stem Cell and Translational Research
  (2016YFA0101201 to C.L., 2016YFA0100303 to Y.J.W.), the National Natural Science
  Foundation of China (81673035 and 81972915 to C.L., 81472722 to Y.J.W.), the Science
  Foundation for Distinguished Young Scientists of Zhejiang Province (LR17H160001
  to C.L.), Fundamental Research Funds for the Central Universities (2016QNA7023 and
  2017QNA7028 to C.L.) and the Thousand Talent Program for Young Outstanding Scientists,
  China (to C.L.), IST Austria institutional funds (to S.H.), European Research Council
  (ERC) under the European Union's Horizon 2020 research and innovation programme
  (725780 LinPro to S.H.). C.L. is a scholar of K. C. Wong Education Foundation.
article_number: '2001724'
article_processing_charge: No
article_type: original
author:
- first_name: Anhao
  full_name: Tian, Anhao
  last_name: Tian
- first_name: Bo
  full_name: Kang, Bo
  last_name: Kang
- first_name: Baizhou
  full_name: Li, Baizhou
  last_name: Li
- first_name: Biying
  full_name: Qiu, Biying
  last_name: Qiu
- first_name: Wenhong
  full_name: Jiang, Wenhong
  last_name: Jiang
- first_name: Fangjie
  full_name: Shao, Fangjie
  last_name: Shao
- first_name: Qingqing
  full_name: Gao, Qingqing
  last_name: Gao
- first_name: Rui
  full_name: Liu, Rui
  last_name: Liu
- first_name: Chengwei
  full_name: Cai, Chengwei
  last_name: Cai
- first_name: Rui
  full_name: Jing, Rui
  last_name: Jing
- first_name: Wei
  full_name: Wang, Wei
  last_name: Wang
- first_name: Pengxiang
  full_name: Chen, Pengxiang
  last_name: Chen
- first_name: Qinghui
  full_name: Liang, Qinghui
  last_name: Liang
- first_name: Lili
  full_name: Bao, Lili
  last_name: Bao
- first_name: Jianghong
  full_name: Man, Jianghong
  last_name: Man
- first_name: Yan
  full_name: Wang, Yan
  last_name: Wang
- first_name: Yu
  full_name: Shi, Yu
  last_name: Shi
- first_name: Jin
  full_name: Li, Jin
  last_name: Li
- first_name: Minmin
  full_name: Yang, Minmin
  last_name: Yang
- first_name: Lisha
  full_name: Wang, Lisha
  last_name: Wang
- first_name: Jianmin
  full_name: Zhang, Jianmin
  last_name: Zhang
- first_name: Simon
  full_name: Hippenmeyer, Simon
  id: 37B36620-F248-11E8-B48F-1D18A9856A87
  last_name: Hippenmeyer
  orcid: 0000-0003-2279-1061
- first_name: Junming
  full_name: Zhu, Junming
  last_name: Zhu
- first_name: Xiuwu
  full_name: Bian, Xiuwu
  last_name: Bian
- first_name: Ying‐Jie
  full_name: Wang, Ying‐Jie
  last_name: Wang
- first_name: Chong
  full_name: Liu, Chong
  last_name: Liu
citation:
  ama: Tian A, Kang B, Li B, et al. Oncogenic state and cell identity combinatorially
    dictate the susceptibility of cells within glioma development hierarchy to IGF1R
    targeting. <i>Advanced Science</i>. 2020;7(21). doi:<a href="https://doi.org/10.1002/advs.202001724">10.1002/advs.202001724</a>
  apa: Tian, A., Kang, B., Li, B., Qiu, B., Jiang, W., Shao, F., … Liu, C. (2020).
    Oncogenic state and cell identity combinatorially dictate the susceptibility of
    cells within glioma development hierarchy to IGF1R targeting. <i>Advanced Science</i>.
    Wiley. <a href="https://doi.org/10.1002/advs.202001724">https://doi.org/10.1002/advs.202001724</a>
  chicago: Tian, Anhao, Bo Kang, Baizhou Li, Biying Qiu, Wenhong Jiang, Fangjie Shao,
    Qingqing Gao, et al. “Oncogenic State and Cell Identity Combinatorially Dictate
    the Susceptibility of Cells within Glioma Development Hierarchy to IGF1R Targeting.”
    <i>Advanced Science</i>. Wiley, 2020. <a href="https://doi.org/10.1002/advs.202001724">https://doi.org/10.1002/advs.202001724</a>.
  ieee: A. Tian <i>et al.</i>, “Oncogenic state and cell identity combinatorially
    dictate the susceptibility of cells within glioma development hierarchy to IGF1R
    targeting,” <i>Advanced Science</i>, vol. 7, no. 21. Wiley, 2020.
  ista: Tian A, Kang B, Li B, Qiu B, Jiang W, Shao F, Gao Q, Liu R, Cai C, Jing R,
    Wang W, Chen P, Liang Q, Bao L, Man J, Wang Y, Shi Y, Li J, Yang M, Wang L, Zhang
    J, Hippenmeyer S, Zhu J, Bian X, Wang Y, Liu C. 2020. Oncogenic state and cell
    identity combinatorially dictate the susceptibility of cells within glioma development
    hierarchy to IGF1R targeting. Advanced Science. 7(21), 2001724.
  mla: Tian, Anhao, et al. “Oncogenic State and Cell Identity Combinatorially Dictate
    the Susceptibility of Cells within Glioma Development Hierarchy to IGF1R Targeting.”
    <i>Advanced Science</i>, vol. 7, no. 21, 2001724, Wiley, 2020, doi:<a href="https://doi.org/10.1002/advs.202001724">10.1002/advs.202001724</a>.
  short: A. Tian, B. Kang, B. Li, B. Qiu, W. Jiang, F. Shao, Q. Gao, R. Liu, C. Cai,
    R. Jing, W. Wang, P. Chen, Q. Liang, L. Bao, J. Man, Y. Wang, Y. Shi, J. Li, M.
    Yang, L. Wang, J. Zhang, S. Hippenmeyer, J. Zhu, X. Bian, Y. Wang, C. Liu, Advanced
    Science 7 (2020).
date_created: 2020-10-01T09:44:13Z
date_published: 2020-11-04T00:00:00Z
date_updated: 2023-08-22T09:53:01Z
day: '04'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.1002/advs.202001724
ec_funded: 1
external_id:
  isi:
  - '000573860700001'
file:
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  creator: dernst
  date_created: 2020-12-10T14:07:24Z
  date_updated: 2020-12-10T14:07:24Z
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file_date_updated: 2020-12-10T14:07:24Z
has_accepted_license: '1'
intvolume: '         7'
isi: 1
issue: '21'
keyword:
- General Engineering
- General Physics and Astronomy
- General Materials Science
- Medicine (miscellaneous)
- General Chemical Engineering
- Biochemistry
- Genetics and Molecular Biology (miscellaneous)
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 260018B0-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '725780'
  name: Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development
publication: Advanced Science
publication_identifier:
  issn:
  - 2198-3844
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Oncogenic state and cell identity combinatorially dictate the susceptibility
  of cells within glioma development hierarchy to IGF1R targeting
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 7
year: '2020'
...
