IRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells

Abstract To date current therapies of glioblastoma multiforme (GBM) are largely ineffective. The induction of apoptosis by an unresolvable unfolded protein response (UPR) represents a potential new therapeutic strategy. Here we tested 12ADT, a sarcoendoplasmic reticulum Ca2+ ATPase (SERCA) inhibitor...

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Autores principales: Jeffrey J. Rodvold, Su Xian, Julia Nussbacher, Brian Tsui, T. Cameron Waller, Stephen C. Searles, Alyssa Lew, Pengfei Jiang, Ivan Babic, Natsuko Nomura, Jonathan H. Lin, Santosh Kesari, Hannah Carter, Maurizio Zanetti
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Publicado: Nature Portfolio 2020
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spelling oai:doaj.org-article:f7db2ed01eae4e36a861f57c2de403b22021-12-02T14:59:09ZIRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells10.1038/s41598-020-65320-62045-2322https://doaj.org/article/f7db2ed01eae4e36a861f57c2de403b22020-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-65320-6https://doaj.org/toc/2045-2322Abstract To date current therapies of glioblastoma multiforme (GBM) are largely ineffective. The induction of apoptosis by an unresolvable unfolded protein response (UPR) represents a potential new therapeutic strategy. Here we tested 12ADT, a sarcoendoplasmic reticulum Ca2+ ATPase (SERCA) inhibitor, on a panel of unselected patient-derived neurosphere-forming cells and found that GBM cells can be distinguished into “responder” and “non-responder”. By RNASeq analysis we found that the non-responder phenotype is significantly linked with the expression of UPR genes, and in particular ERN1 (IRE1) and ATF4. We also identified two additional genes selectively overexpressed among non-responders, IGFBP3 and IGFBP5. CRISPR-mediated deletion of the ERN1, IGFBP3, IGFBP5 signature genes in the U251 human GBM cell line increased responsiveness to 12ADT. Remarkably, >65% of GBM cases in The Cancer Genome Atlas express the non-responder (ERN1, IGFBP3, IGFBP5) gene signature. Thus, elevated levels of IRE1α and IGFBPs predict a poor response to drugs inducing unresolvable UPR and possibly other forms of chemotherapy helping in a better stratification GBM patients.Jeffrey J. RodvoldSu XianJulia NussbacherBrian TsuiT. Cameron WallerStephen C. SearlesAlyssa LewPengfei JiangIvan BabicNatsuko NomuraJonathan H. LinSantosh KesariHannah CarterMaurizio ZanettiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jeffrey J. Rodvold
Su Xian
Julia Nussbacher
Brian Tsui
T. Cameron Waller
Stephen C. Searles
Alyssa Lew
Pengfei Jiang
Ivan Babic
Natsuko Nomura
Jonathan H. Lin
Santosh Kesari
Hannah Carter
Maurizio Zanetti
IRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells
description Abstract To date current therapies of glioblastoma multiforme (GBM) are largely ineffective. The induction of apoptosis by an unresolvable unfolded protein response (UPR) represents a potential new therapeutic strategy. Here we tested 12ADT, a sarcoendoplasmic reticulum Ca2+ ATPase (SERCA) inhibitor, on a panel of unselected patient-derived neurosphere-forming cells and found that GBM cells can be distinguished into “responder” and “non-responder”. By RNASeq analysis we found that the non-responder phenotype is significantly linked with the expression of UPR genes, and in particular ERN1 (IRE1) and ATF4. We also identified two additional genes selectively overexpressed among non-responders, IGFBP3 and IGFBP5. CRISPR-mediated deletion of the ERN1, IGFBP3, IGFBP5 signature genes in the U251 human GBM cell line increased responsiveness to 12ADT. Remarkably, >65% of GBM cases in The Cancer Genome Atlas express the non-responder (ERN1, IGFBP3, IGFBP5) gene signature. Thus, elevated levels of IRE1α and IGFBPs predict a poor response to drugs inducing unresolvable UPR and possibly other forms of chemotherapy helping in a better stratification GBM patients.
format article
author Jeffrey J. Rodvold
Su Xian
Julia Nussbacher
Brian Tsui
T. Cameron Waller
Stephen C. Searles
Alyssa Lew
Pengfei Jiang
Ivan Babic
Natsuko Nomura
Jonathan H. Lin
Santosh Kesari
Hannah Carter
Maurizio Zanetti
author_facet Jeffrey J. Rodvold
Su Xian
Julia Nussbacher
Brian Tsui
T. Cameron Waller
Stephen C. Searles
Alyssa Lew
Pengfei Jiang
Ivan Babic
Natsuko Nomura
Jonathan H. Lin
Santosh Kesari
Hannah Carter
Maurizio Zanetti
author_sort Jeffrey J. Rodvold
title IRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells
title_short IRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells
title_full IRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells
title_fullStr IRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells
title_full_unstemmed IRE1α and IGF signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells
title_sort ire1α and igf signaling predict resistance to an endoplasmic reticulum stress-inducing drug in glioblastoma cells
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/f7db2ed01eae4e36a861f57c2de403b2
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