Hedgehog signaling pathway is active in GBM with GLI1 mRNA expression showing a single continuous distribution rather than discrete high/low clusters

Hedgehog (Hh) signaling pathway is a valid therapeutic target in a wide range of malignancies. We focus here on glioblastoma multiforme (GBM), a lethal malignancy of the central nervous system (CNS). By analyzing RNA-sequencing based transcriptomics data on 149 clinical cases of TCGA-GBM database we...

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Veröffentlicht in:PloS one 2015-03, Vol.10 (3), p.e0116390-e0116390
Hauptverfasser: Chandra, Vikas, Das, Tapojyoti, Gulati, Puneet, Biswas, Nidhan K, Rote, Sarang, Chatterjee, Uttara, Ghosh, Samarendra N, Deb, Sumit, Saha, Suniti K, Chowdhury, Anup K, Ghosh, Subhashish, Rudin, Charles M, Mukherjee, Ankur, Basu, Analabha, Dhara, Surajit
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container_title PloS one
container_volume 10
creator Chandra, Vikas
Das, Tapojyoti
Gulati, Puneet
Biswas, Nidhan K
Rote, Sarang
Chatterjee, Uttara
Ghosh, Samarendra N
Deb, Sumit
Saha, Suniti K
Chowdhury, Anup K
Ghosh, Subhashish
Rudin, Charles M
Mukherjee, Ankur
Basu, Analabha
Dhara, Surajit
description Hedgehog (Hh) signaling pathway is a valid therapeutic target in a wide range of malignancies. We focus here on glioblastoma multiforme (GBM), a lethal malignancy of the central nervous system (CNS). By analyzing RNA-sequencing based transcriptomics data on 149 clinical cases of TCGA-GBM database we show here a strong correlation (r = 0.7) between GLI1 and PTCH1 mRNA expression--as a hallmark of the canonical Hh-pathway activity in this malignancy. GLI1 mRNA expression varied in 3 orders of magnitude among the GBM patients of the same cohort showing a single continuous distribution-unlike the discrete high/low-GLI1 mRNA expressing clusters of medulloblastoma (MB). When compared with MB as a reference, the median GLI1 mRNA expression in GBM appeared 14.8 fold lower than that of the "high-Hh" cluster of MB but 5.6 fold higher than that of the "low-Hh" cluster of MB. Next, we demonstrated statistically significant up- and down-regulation of GLI1 mRNA expressions in GBM patient-derived low-passage neurospheres in vitro by sonic hedgehog ligand-enriched conditioned media (shh-CM) and by Hh-inhibitor drug vismodegib respectively. We also showed clinically achievable dose (50 μM) of vismodegib alone to be sufficient to induce apoptosis and cell cycle arrest in these low-passage GBM neurospheres in vitro. Vismodegib showed an effect on the neurospheres, both by down-regulating GLI1 mRNA expression and by inducing apoptosis/cell cycle arrest, irrespective of their relative endogenous levels of GLI1 mRNA expression. We conclude from our study that this single continuous distribution pattern of GLI1 mRNA expression technically puts almost all GBM patients in a single group rather than discrete high- or low-clusters in terms of Hh-pathway activity. That is suggestive of therapies with Hh-pathway inhibitor drugs in this malignancy without a need for further stratification of patients on the basis of relative levels of Hh-pathway activity among them.
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We focus here on glioblastoma multiforme (GBM), a lethal malignancy of the central nervous system (CNS). By analyzing RNA-sequencing based transcriptomics data on 149 clinical cases of TCGA-GBM database we show here a strong correlation (r = 0.7) between GLI1 and PTCH1 mRNA expression--as a hallmark of the canonical Hh-pathway activity in this malignancy. GLI1 mRNA expression varied in 3 orders of magnitude among the GBM patients of the same cohort showing a single continuous distribution-unlike the discrete high/low-GLI1 mRNA expressing clusters of medulloblastoma (MB). When compared with MB as a reference, the median GLI1 mRNA expression in GBM appeared 14.8 fold lower than that of the "high-Hh" cluster of MB but 5.6 fold higher than that of the "low-Hh" cluster of MB. Next, we demonstrated statistically significant up- and down-regulation of GLI1 mRNA expressions in GBM patient-derived low-passage neurospheres in vitro by sonic hedgehog ligand-enriched conditioned media (shh-CM) and by Hh-inhibitor drug vismodegib respectively. We also showed clinically achievable dose (50 μM) of vismodegib alone to be sufficient to induce apoptosis and cell cycle arrest in these low-passage GBM neurospheres in vitro. Vismodegib showed an effect on the neurospheres, both by down-regulating GLI1 mRNA expression and by inducing apoptosis/cell cycle arrest, irrespective of their relative endogenous levels of GLI1 mRNA expression. We conclude from our study that this single continuous distribution pattern of GLI1 mRNA expression technically puts almost all GBM patients in a single group rather than discrete high- or low-clusters in terms of Hh-pathway activity. That is suggestive of therapies with Hh-pathway inhibitor drugs in this malignancy without a need for further stratification of patients on the basis of relative levels of Hh-pathway activity among them.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0116390</identifier><identifier>PMID: 25775002</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Anilides - pharmacology ; Apoptosis ; Apoptosis - drug effects ; Cancer therapies ; Cell cycle ; Cell Cycle Checkpoints - drug effects ; Central nervous system ; Clusters ; Conditioning ; Dose-Response Relationship, Drug ; Down-Regulation - drug effects ; Drug development ; Drugs ; FDA approval ; Gene expression ; Gene Expression Regulation, Neoplastic - drug effects ; Gene sequencing ; Genomics ; Glioblastoma ; Glioblastoma - genetics ; Glioblastoma - pathology ; Glioblastoma multiforme ; Gliomas ; Health aspects ; Hedgehog protein ; Hedgehog Proteins - metabolism ; Humans ; Inhibitors ; Kinases ; Ligands ; Malignancy ; Medical research ; Medulloblastoma ; Medulloblastoma - genetics ; Medulloblastoma - pathology ; Messenger RNA ; Mutation ; Neurology ; Neurospheres ; Oncogene Proteins - genetics ; Ovarian cancer ; Patients ; Pyridines - pharmacology ; Radiation therapy ; Ribonucleic acid ; RNA ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Signal transduction ; Signal Transduction - drug effects ; Signaling ; Statistical analysis ; Trans-Activators - genetics ; Transcription factors ; Tumorigenesis ; Up-Regulation - drug effects ; Zinc Finger Protein GLI1</subject><ispartof>PloS one, 2015-03, Vol.10 (3), p.e0116390-e0116390</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Chandra et al. 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We focus here on glioblastoma multiforme (GBM), a lethal malignancy of the central nervous system (CNS). By analyzing RNA-sequencing based transcriptomics data on 149 clinical cases of TCGA-GBM database we show here a strong correlation (r = 0.7) between GLI1 and PTCH1 mRNA expression--as a hallmark of the canonical Hh-pathway activity in this malignancy. GLI1 mRNA expression varied in 3 orders of magnitude among the GBM patients of the same cohort showing a single continuous distribution-unlike the discrete high/low-GLI1 mRNA expressing clusters of medulloblastoma (MB). When compared with MB as a reference, the median GLI1 mRNA expression in GBM appeared 14.8 fold lower than that of the "high-Hh" cluster of MB but 5.6 fold higher than that of the "low-Hh" cluster of MB. Next, we demonstrated statistically significant up- and down-regulation of GLI1 mRNA expressions in GBM patient-derived low-passage neurospheres in vitro by sonic hedgehog ligand-enriched conditioned media (shh-CM) and by Hh-inhibitor drug vismodegib respectively. We also showed clinically achievable dose (50 μM) of vismodegib alone to be sufficient to induce apoptosis and cell cycle arrest in these low-passage GBM neurospheres in vitro. Vismodegib showed an effect on the neurospheres, both by down-regulating GLI1 mRNA expression and by inducing apoptosis/cell cycle arrest, irrespective of their relative endogenous levels of GLI1 mRNA expression. We conclude from our study that this single continuous distribution pattern of GLI1 mRNA expression technically puts almost all GBM patients in a single group rather than discrete high- or low-clusters in terms of Hh-pathway activity. That is suggestive of therapies with Hh-pathway inhibitor drugs in this malignancy without a need for further stratification of patients on the basis of relative levels of Hh-pathway activity among them.</description><subject>Anilides - pharmacology</subject><subject>Apoptosis</subject><subject>Apoptosis - drug effects</subject><subject>Cancer therapies</subject><subject>Cell cycle</subject><subject>Cell Cycle Checkpoints - drug effects</subject><subject>Central nervous system</subject><subject>Clusters</subject><subject>Conditioning</subject><subject>Dose-Response Relationship, Drug</subject><subject>Down-Regulation - drug effects</subject><subject>Drug development</subject><subject>Drugs</subject><subject>FDA approval</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Neoplastic - drug effects</subject><subject>Gene sequencing</subject><subject>Genomics</subject><subject>Glioblastoma</subject><subject>Glioblastoma - genetics</subject><subject>Glioblastoma - 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genetics</topic><topic>Medulloblastoma - pathology</topic><topic>Messenger RNA</topic><topic>Mutation</topic><topic>Neurology</topic><topic>Neurospheres</topic><topic>Oncogene Proteins - genetics</topic><topic>Ovarian cancer</topic><topic>Patients</topic><topic>Pyridines - pharmacology</topic><topic>Radiation therapy</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><topic>Signal transduction</topic><topic>Signal Transduction - drug effects</topic><topic>Signaling</topic><topic>Statistical analysis</topic><topic>Trans-Activators - genetics</topic><topic>Transcription factors</topic><topic>Tumorigenesis</topic><topic>Up-Regulation - drug effects</topic><topic>Zinc Finger Protein GLI1</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chandra, Vikas</creatorcontrib><creatorcontrib>Das, Tapojyoti</creatorcontrib><creatorcontrib>Gulati, Puneet</creatorcontrib><creatorcontrib>Biswas, Nidhan K</creatorcontrib><creatorcontrib>Rote, Sarang</creatorcontrib><creatorcontrib>Chatterjee, Uttara</creatorcontrib><creatorcontrib>Ghosh, Samarendra N</creatorcontrib><creatorcontrib>Deb, Sumit</creatorcontrib><creatorcontrib>Saha, Suniti K</creatorcontrib><creatorcontrib>Chowdhury, Anup K</creatorcontrib><creatorcontrib>Ghosh, Subhashish</creatorcontrib><creatorcontrib>Rudin, Charles M</creatorcontrib><creatorcontrib>Mukherjee, Ankur</creatorcontrib><creatorcontrib>Basu, Analabha</creatorcontrib><creatorcontrib>Dhara, Surajit</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chandra, Vikas</au><au>Das, Tapojyoti</au><au>Gulati, Puneet</au><au>Biswas, Nidhan K</au><au>Rote, Sarang</au><au>Chatterjee, Uttara</au><au>Ghosh, Samarendra N</au><au>Deb, Sumit</au><au>Saha, Suniti K</au><au>Chowdhury, Anup K</au><au>Ghosh, Subhashish</au><au>Rudin, Charles M</au><au>Mukherjee, Ankur</au><au>Basu, Analabha</au><au>Dhara, Surajit</au><au>Castresana, Javier S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hedgehog signaling pathway is active in GBM with GLI1 mRNA expression showing a single continuous distribution rather than discrete high/low clusters</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-03-16</date><risdate>2015</risdate><volume>10</volume><issue>3</issue><spage>e0116390</spage><epage>e0116390</epage><pages>e0116390-e0116390</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Hedgehog (Hh) signaling pathway is a valid therapeutic target in a wide range of malignancies. We focus here on glioblastoma multiforme (GBM), a lethal malignancy of the central nervous system (CNS). By analyzing RNA-sequencing based transcriptomics data on 149 clinical cases of TCGA-GBM database we show here a strong correlation (r = 0.7) between GLI1 and PTCH1 mRNA expression--as a hallmark of the canonical Hh-pathway activity in this malignancy. GLI1 mRNA expression varied in 3 orders of magnitude among the GBM patients of the same cohort showing a single continuous distribution-unlike the discrete high/low-GLI1 mRNA expressing clusters of medulloblastoma (MB). When compared with MB as a reference, the median GLI1 mRNA expression in GBM appeared 14.8 fold lower than that of the "high-Hh" cluster of MB but 5.6 fold higher than that of the "low-Hh" cluster of MB. Next, we demonstrated statistically significant up- and down-regulation of GLI1 mRNA expressions in GBM patient-derived low-passage neurospheres in vitro by sonic hedgehog ligand-enriched conditioned media (shh-CM) and by Hh-inhibitor drug vismodegib respectively. We also showed clinically achievable dose (50 μM) of vismodegib alone to be sufficient to induce apoptosis and cell cycle arrest in these low-passage GBM neurospheres in vitro. Vismodegib showed an effect on the neurospheres, both by down-regulating GLI1 mRNA expression and by inducing apoptosis/cell cycle arrest, irrespective of their relative endogenous levels of GLI1 mRNA expression. We conclude from our study that this single continuous distribution pattern of GLI1 mRNA expression technically puts almost all GBM patients in a single group rather than discrete high- or low-clusters in terms of Hh-pathway activity. That is suggestive of therapies with Hh-pathway inhibitor drugs in this malignancy without a need for further stratification of patients on the basis of relative levels of Hh-pathway activity among them.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25775002</pmid><doi>10.1371/journal.pone.0116390</doi><oa>free_for_read</oa></addata></record>
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subjects Anilides - pharmacology
Apoptosis
Apoptosis - drug effects
Cancer therapies
Cell cycle
Cell Cycle Checkpoints - drug effects
Central nervous system
Clusters
Conditioning
Dose-Response Relationship, Drug
Down-Regulation - drug effects
Drug development
Drugs
FDA approval
Gene expression
Gene Expression Regulation, Neoplastic - drug effects
Gene sequencing
Genomics
Glioblastoma
Glioblastoma - genetics
Glioblastoma - pathology
Glioblastoma multiforme
Gliomas
Health aspects
Hedgehog protein
Hedgehog Proteins - metabolism
Humans
Inhibitors
Kinases
Ligands
Malignancy
Medical research
Medulloblastoma
Medulloblastoma - genetics
Medulloblastoma - pathology
Messenger RNA
Mutation
Neurology
Neurospheres
Oncogene Proteins - genetics
Ovarian cancer
Patients
Pyridines - pharmacology
Radiation therapy
Ribonucleic acid
RNA
RNA, Messenger - genetics
RNA, Messenger - metabolism
Signal transduction
Signal Transduction - drug effects
Signaling
Statistical analysis
Trans-Activators - genetics
Transcription factors
Tumorigenesis
Up-Regulation - drug effects
Zinc Finger Protein GLI1
title Hedgehog signaling pathway is active in GBM with GLI1 mRNA expression showing a single continuous distribution rather than discrete high/low clusters
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