1
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Ho WM, Chen CY, Chiang TW, Chuang TJ. A longer time to relapse is associated with a larger increase in differences between paired primary and recurrent IDH wild-type glioblastomas at both the transcriptomic and genomic levels. Acta Neuropathol Commun 2024; 12:77. [PMID: 38762464 PMCID: PMC11102269 DOI: 10.1186/s40478-024-01790-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 05/05/2024] [Indexed: 05/20/2024] Open
Abstract
Glioblastoma (GBM) is the most common malignant brain tumor in adults, which remains incurable and often recurs rapidly after initial therapy. While large efforts have been dedicated to uncover genomic/transcriptomic alternations associated with the recurrence of GBMs, the evolutionary trajectories of matched pairs of primary and recurrent (P-R) GBMs remain largely elusive. It remains challenging to identify genes associated with time to relapse (TTR) and construct a stable and effective prognostic model for predicting TTR of primary GBM patients. By integrating RNA-sequencing and genomic data from multiple datasets of patient-matched longitudinal GBMs of isocitrate dehydrogenase wild-type (IDH-wt), here we examined the associations of TTR with heterogeneities between paired P-R GBMs in gene expression profiles, tumor mutation burden (TMB), and microenvironment. Our results revealed a positive correlation between TTR and transcriptomic/genomic differences between paired P-R GBMs, higher percentages of non-mesenchymal-to-mesenchymal transition and mesenchymal subtype for patients with a short TTR than for those with a long TTR, a high correlation between paired P-R GBMs in gene expression profiles and TMB, and a negative correlation between the fitting level of such a paired P-R GBM correlation and TTR. According to these observations, we identified 55 TTR-associated genes and thereby constructed a seven-gene (ZSCAN10, SIGLEC14, GHRHR, TBX15, TAS2R1, CDKL1, and CD101) prognostic model for predicting TTR of primary IDH-wt GBM patients using univariate/multivariate Cox regression analyses. The risk scores estimated by the model were significantly negatively correlated with TTR in the training set and two independent testing sets. The model also segregated IDH-wt GBM patients into two groups with significantly divergent progression-free survival outcomes and showed promising performance for predicting 1-, 2-, and 3-year progression-free survival rates in all training and testing sets. Our findings provide new insights into the molecular understanding of GBM progression at recurrence and potential targets for therapeutic treatments.
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Affiliation(s)
- Wei-Min Ho
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Ph.D. Program in Translational Medicine, National Taiwan University and Academia Sinica, Taipei, Taiwan
- Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu, Taiwan
| | - Chia-Ying Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Tai-Wei Chiang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Trees-Juen Chuang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan.
- Ph.D. Program in Translational Medicine, National Taiwan University and Academia Sinica, Taipei, Taiwan.
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2
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Song X, Tiek D, Miki S, Huang T, Lu M, Goenka A, Iglesia R, Yu X, Wu R, Walker M, Zeng C, Shah H, Weng SHS, Huff A, Zhang W, Koga T, Hubert C, Horbinski CM, Furnari FB, Hu B, Cheng SY. RNA splicing analysis deciphers developmental hierarchies and reveals therapeutic targets in adult glioma. J Clin Invest 2024; 134:e173789. [PMID: 38662454 PMCID: PMC11142752 DOI: 10.1172/jci173789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 04/16/2024] [Indexed: 06/02/2024] Open
Abstract
Widespread alterations in RNA alternative splicing (AS) have been identified in adult gliomas. However, their regulatory mechanism, biological significance, and therapeutic potential remain largely elusive. Here, using a computational approach with both bulk and single-cell RNA-Seq, we uncover a prognostic AS signature linked with neural developmental hierarchies. Using advanced iPSC glioma models driven by glioma driver mutations, we show that this AS signature could be enhanced by EGFRvIII and inhibited by in situ IDH1 mutation. Functional validations of 2 isoform switching events in CERS5 and MPZL1 show regulations of sphingolipid metabolism and SHP2 signaling, respectively. Analysis of upstream RNA binding proteins reveals PTBP1 as a key regulator of the AS signature where targeting of PTBP1 suppresses tumor growth and promotes the expression of a neuron marker TUJ1 in glioma stem-like cells. Overall, our data highlights the role of AS in affecting glioma malignancy and heterogeneity and its potential as a therapeutic vulnerability for treating adult gliomas.
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Affiliation(s)
- Xiao Song
- The Ken & Ruth Davee Department of Neurology, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Deanna Tiek
- The Ken & Ruth Davee Department of Neurology, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Shunichiro Miki
- Department of Medicine, Division of Regenerative Medicine, Sanford Stem Cell Institute, UCSD, La Jolla, California, USA
| | - Tianzhi Huang
- The Ken & Ruth Davee Department of Neurology, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Minghui Lu
- The Ken & Ruth Davee Department of Neurology, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Anshika Goenka
- The Ken & Ruth Davee Department of Neurology, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Rebeca Iglesia
- The Ken & Ruth Davee Department of Neurology, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Xiaozhou Yu
- The Ken & Ruth Davee Department of Neurology, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Runxin Wu
- The Ken & Ruth Davee Department of Neurology, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Maya Walker
- The Ken & Ruth Davee Department of Neurology, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Chang Zeng
- Department of Preventive Medicine, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Hardik Shah
- Metabolomics Platform, Comprehensive Cancer Center, and
| | - Shao Huan Samuel Weng
- Proteomics Platform, Office of Shared Research Facilities, Biological Sciences Division, The University of Chicago, Chicago, Illinois, USA
| | - Allen Huff
- Proteomics Platform, Office of Shared Research Facilities, Biological Sciences Division, The University of Chicago, Chicago, Illinois, USA
| | - Wei Zhang
- Department of Preventive Medicine, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Tomoyuki Koga
- Department of Neurosurgery, The University of Minnesota, Minneapolis, Minnesota, USA
| | - Christopher Hubert
- Department of Biochemistry, School of Medicine, Case Western Reserved University, Cleveland, Ohio, USA
| | - Craig M. Horbinski
- Departments of Pathology and Neurological Surgery, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Frank B. Furnari
- Department of Medicine, Division of Regenerative Medicine, Sanford Stem Cell Institute, UCSD, La Jolla, California, USA
| | - Bo Hu
- The Ken & Ruth Davee Department of Neurology, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Shi-Yuan Cheng
- The Ken & Ruth Davee Department of Neurology, The Lou and Jean Malnati Brain Tumor Institute, The Robert H. Lurie Comprehensive Cancer Center, Simpson Querrey Institute for Epigenetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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3
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Nejo T, Wang L, Leung KK, Wang A, Lakshmanachetty S, Gallus M, Kwok DW, Hong C, Chen LH, Carrera DA, Zhang MY, Stevers NO, Maldonado GC, Yamamichi A, Watchmaker PB, Naik A, Shai A, Phillips JJ, Chang SM, Wiita AP, Wells JA, Costello JF, Diaz AA, Okada H. Challenges in the discovery of tumor-specific alternative splicing-derived cell-surface antigens in glioma. Sci Rep 2024; 14:6362. [PMID: 38493204 PMCID: PMC10944514 DOI: 10.1038/s41598-024-56684-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 03/09/2024] [Indexed: 03/18/2024] Open
Abstract
Despite advancements in cancer immunotherapy, solid tumors remain formidable challenges. In glioma, profound inter- and intra-tumoral heterogeneity of antigen landscape hampers therapeutic development. Therefore, it is critical to consider alternative sources to expand the repertoire of targetable (neo-)antigens and improve therapeutic outcomes. Accumulating evidence suggests that tumor-specific alternative splicing (AS) could be an untapped reservoir of antigens. In this study, we investigated tumor-specific AS events in glioma, focusing on those predicted to generate major histocompatibility complex (MHC)-presentation-independent, cell-surface antigens that could be targeted by antibodies and chimeric antigen receptor-T cells. We systematically analyzed bulk RNA-sequencing datasets comparing 429 tumor samples (from The Cancer Genome Atlas) and 9166 normal tissue samples (from the Genotype-Tissue Expression project), and identified 13 AS events in 7 genes predicted to be expressed in more than 10% of the patients, including PTPRZ1 and BCAN, which were corroborated by an external RNA-sequencing dataset. Subsequently, we validated our predictions and elucidated the complexity of the isoforms using full-length transcript amplicon sequencing on patient-derived glioblastoma cells. However, analyses of the RNA-sequencing datasets of spatially mapped and longitudinally collected clinical tumor samples unveiled remarkable spatiotemporal heterogeneity of the candidate AS events. Furthermore, proteomics analysis did not reveal any peptide spectra matching the putative antigens. Our investigation illustrated the diverse characteristics of the tumor-specific AS events and the challenges of antigen exploration due to their notable spatiotemporal heterogeneity and elusive nature at the protein levels. Redirecting future efforts toward intracellular, MHC-presented antigens could offer a more viable avenue.
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Affiliation(s)
- Takahide Nejo
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Lin Wang
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Kevin K Leung
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
| | - Albert Wang
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Senthilnath Lakshmanachetty
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Marco Gallus
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Darwin W Kwok
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Chibo Hong
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Lee H Chen
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Diego A Carrera
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Michael Y Zhang
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Nicholas O Stevers
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Gabriella C Maldonado
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Akane Yamamichi
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Payal B Watchmaker
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Akul Naik
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Anny Shai
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Joanna J Phillips
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Arun P Wiita
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- The Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - James A Wells
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Joseph F Costello
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Aaron A Diaz
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Hideho Okada
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
- The Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
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4
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Dou Z, Lei H, Su W, Zhang T, Chen X, Yu B, Zhen X, Si J, Sun C, Zhang H, Di C. Modification of BCLX pre-mRNA splicing has antitumor efficacy alone or in combination with radiotherapy in human glioblastoma cells. Cell Death Dis 2024; 15:160. [PMID: 38383492 PMCID: PMC10881996 DOI: 10.1038/s41419-024-06507-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 01/24/2024] [Accepted: 01/26/2024] [Indexed: 02/23/2024]
Abstract
Dysregulation of anti-apoptotic and pro-apoptotic protein isoforms arising from aberrant splicing is a crucial hallmark of cancers and may contribute to therapeutic resistance. Thus, targeting RNA splicing to redirect isoform expression of apoptosis-related genes could lead to promising anti-cancer phenotypes. Glioblastoma (GBM) is the most common type of malignant brain tumor in adults. In this study, through RT-PCR and Western Blot analysis, we found that BCLX pre-mRNA is aberrantly spliced in GBM cells with a favored splicing of anti-apoptotic Bcl-xL. Modulation of BCLX pre-mRNA splicing using splice-switching oligonucleotides (SSOs) efficiently elevated the pro-apoptotic isoform Bcl-xS at the expense of the anti-apoptotic Bcl-xL. Induction of Bcl-xS by SSOs activated apoptosis and autophagy in GBM cells. In addition, we found that ionizing radiation could also modulate the alternative splicing of BCLX. In contrast to heavy (carbon) ion irradiation, low energy X-ray radiation-induced an increased ratio of Bcl-xL/Bcl-xS. Inhibiting Bcl-xL through splicing regulation can significantly enhance the radiation sensitivity of 2D and 3D GBM cells. These results suggested that manipulation of BCLX pre-mRNA alternative splicing by splice-switching oligonucleotides is a novel approach to inhibit glioblastoma tumorigenesis alone or in combination with radiotherapy.
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Affiliation(s)
- Zhihui Dou
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516029, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Huiwen Lei
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516029, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Wei Su
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516029, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Taotao Zhang
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516029, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Xiaohua Chen
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516029, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Boyi Yu
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516029, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Xiaogang Zhen
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516029, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Jing Si
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516029, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Chao Sun
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516029, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Hong Zhang
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China.
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516029, China.
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China.
| | - Cuixia Di
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China.
- Advanced Energy Science and Technology Guangdong Laboratory, Huizhou, 516029, China.
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China.
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5
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Pounraj S, Chen S, Ma L, Mazzieri R, Dolcetti R, Rehm BHA. Targeting Tumor Heterogeneity with Neoantigen-Based Cancer Vaccines. Cancer Res 2024; 84:353-363. [PMID: 38055891 DOI: 10.1158/0008-5472.can-23-2042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/24/2023] [Accepted: 12/04/2023] [Indexed: 12/08/2023]
Abstract
Neoantigen-based cancer vaccines have emerged as a promising immunotherapeutic approach to treat cancer. Nevertheless, the high degree of heterogeneity in tumors poses a significant hurdle for developing a vaccine that targets the therapeutically relevant neoantigens capable of effectively stimulating an immune response as each tumor contains numerous unique putative neoantigens. Understanding the complexities of tumor heterogeneity is crucial for the development of personalized neoantigen-based vaccines, which hold the potential to revolutionize cancer treatment and improve patient outcomes. In this review, we discuss recent advancements in the design of neoantigen-based cancer vaccines emphasizing the identification, validation, formulation, and targeting of neoantigens while addressing the challenges posed by tumor heterogeneity. The review highlights the application of cutting-edge approaches, such as single-cell sequencing and artificial intelligence to identify immunogenic neoantigens, while outlining current limitations and proposing future research directions to develop effective neoantigen-based vaccines.
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Affiliation(s)
- Saranya Pounraj
- Centre for Cell Factories and Biopolymers (CCFB), Griffith Institute for Drug Discovery, Griffith University (Nathan Campus), Brisbane, Queensland, Australia
| | - Shuxiong Chen
- Centre for Cell Factories and Biopolymers (CCFB), Griffith Institute for Drug Discovery, Griffith University (Nathan Campus), Brisbane, Queensland, Australia
| | - Linlin Ma
- Centre for Cell Factories and Biopolymers (CCFB), Griffith Institute for Drug Discovery, Griffith University (Nathan Campus), Brisbane, Queensland, Australia
- School of Environment and Science, Griffith University (Nathan Campus), Brisbane, Queensland, Australia
| | - Roberta Mazzieri
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Riccardo Dolcetti
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Microbiology and Immunology, The University of Melbourne, Melbourne, Victoria, Australia
- Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Bernd H A Rehm
- Centre for Cell Factories and Biopolymers (CCFB), Griffith Institute for Drug Discovery, Griffith University (Nathan Campus), Brisbane, Queensland, Australia
- Menzies Health Institute Queensland (MHIQ), Griffith University (Gold Coast Campus), Queensland, Australia
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6
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Xiong Z, Raphael I, Olin M, Okada H, Li X, Kohanbash G. Glioblastoma vaccines: past, present, and opportunities. EBioMedicine 2024; 100:104963. [PMID: 38183840 PMCID: PMC10808938 DOI: 10.1016/j.ebiom.2023.104963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 12/21/2023] [Accepted: 12/24/2023] [Indexed: 01/08/2024] Open
Abstract
Glioblastoma (GBM) is one of the most lethal central nervous systems (CNS) tumours in adults. As supplements to standard of care (SOC), various immunotherapies improve the therapeutic effect in other cancers. Among them, tumour vaccines can serve as complementary monotherapy or boost the clinical efficacy with other immunotherapies, such as immune checkpoint blockade (ICB) and chimeric antigen receptor T cells (CAR-T) therapy. Previous studies in GBM therapeutic vaccines have suggested that few neoantigens could be targeted in GBM due to low mutation burden, and single-peptide therapeutic vaccination had limited efficacy in tumour control as monotherapy. Combining diverse antigens, including neoantigens, tumour-associated antigens (TAAs), and pathogen-derived antigens, and optimizing vaccine design or vaccination strategy may help with clinical efficacy improvement. In this review, we discussed current GBM therapeutic vaccine platforms, evaluated and potential antigenic targets, current challenges, and perspective opportunities for efficacy improvement.
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Affiliation(s)
- Zujian Xiong
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15201, USA; Xiangya School of Medicine, Central South University, Changsha, Hunan 410008, PR China
| | - Itay Raphael
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15201, USA
| | - Michael Olin
- Department of Pediatrics, Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Hideho Okada
- Department of Neurological Surgery, University of California, San Francisco, CA 94143, USA
| | - Xuejun Li
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China; Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, Hunan 410008 PR China.
| | - Gary Kohanbash
- Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15201, USA; Department of Immunology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
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7
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Kumar H, Luo R, Wen J, Yang C, Zhou X, Kim P. FusionNeoAntigen: a resource of fusion gene-specific neoantigens. Nucleic Acids Res 2024; 52:D1276-D1288. [PMID: 37870454 PMCID: PMC10767944 DOI: 10.1093/nar/gkad922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/02/2023] [Accepted: 10/09/2023] [Indexed: 10/24/2023] Open
Abstract
Among the diverse sources of neoantigens (i.e. single-nucleotide variants (SNVs), insertions or deletions (Indels) and fusion genes), fusion gene-derived neoantigens are generally more immunogenic, have multiple targets per mutation and are more widely distributed across various cancer types. Therefore, fusion gene-derived neoantigens are a potential source of highly immunogenic neoantigens and hold great promise for cancer immunotherapy. However, the lack of fusion protein sequence resources and knowledge prevents this application. We introduce 'FusionNeoAntigen', a dedicated resource for fusion-specific neoantigens, accessible at https://compbio.uth.edu/FusionNeoAntigen. In this resource, we provide fusion gene breakpoint crossing neoantigens focused on ∼43K fusion proteins of ∼16K in-frame fusion genes from FusionGDB2.0. FusionNeoAntigen provides fusion gene information, corresponding fusion protein sequences, fusion breakpoint peptide sequences, fusion gene-derived neoantigen prediction, virtual screening between fusion breakpoint peptides having potential fusion neoantigens and human leucocyte antigens (HLAs), fusion breakpoint RNA/protein sequences for developing vaccines, information on samples with fusion-specific neoantigen, potential CAR-T targetable cell-surface fusion proteins and literature curation. FusionNeoAntigen will help to develop fusion gene-based immunotherapies. We will report all potential fusion-specific neoantigens from all possible open reading frames of ∼120K human fusion genes in future versions.
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Affiliation(s)
- Himansu Kumar
- Department of Bioinformatics and Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Ruihan Luo
- Department of Bioinformatics and Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jianguo Wen
- Department of Bioinformatics and Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Chengyuan Yang
- School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Xiaobo Zhou
- Department of Bioinformatics and Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Pora Kim
- Department of Bioinformatics and Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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8
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Nejo T, Wang L, Leung KK, Wang A, Lakshmanachetty S, Gallus M, Kwok DW, Hong C, Chen LH, Carrera DA, Zhang MY, Stevers NO, Maldonado GC, Yamamichi A, Watchmaker P, Naik A, Shai A, Phillips JJ, Chang SM, Wiita AP, Wells JA, Costello JF, Diaz AA, Okada H. Challenges in the discovery of tumor-specific alternative splicing-derived cell-surface antigens in glioma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.26.564156. [PMID: 37961484 PMCID: PMC10634890 DOI: 10.1101/2023.10.26.564156] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Background Despite advancements in cancer immunotherapy, solid tumors remain formidable challenges. In glioma, profound inter-and intra-tumoral heterogeneity of antigen landscape hampers therapeutic development. Therefore, it is critical to consider alternative sources to expand the repertoire of targetable (neo-)antigens and improve therapeutic outcomes. Accumulating evidence suggests that tumor-specific alternative splicing (AS) could be an untapped reservoir of neoantigens. Results In this study, we investigated tumor-specific AS events in glioma, focusing on those predicted to generate major histocompatibility complex (MHC)-presentation-independent, cell-surface neoantigens that could be targeted by antibodies and chimeric antigen receptor (CAR)-T cells. We systematically analyzed bulk RNA-sequencing datasets comparing 429 tumor samples (from The Cancer Genome Atlas [TCGA]) and 9,166 normal tissue samples (from the Genotype-Tissue Expression project [GTEx]), and identified 13 AS events in 7 genes predicted to be expressed in more than 10% of the patients, including PTPRZ1 and BCAN , which were corroborated by an external RNA-sequencing dataset. Subsequently, we validated our predictions and elucidated the complexity of the isoforms using full-length transcript amplicon sequencing on patient-derived glioblastoma cells. However, analyses of the RNA-sequencing datasets of spatially mapped and longitudinally collected clinical tumor samples unveiled remarkable spatiotemporal heterogeneity of the candidate AS events. Furthermore, proteomics analysis did not reveal any peptide spectra matching the putative neoantigens. Conclusions Our investigation illustrated the diverse characteristics of the tumor-specific AS events and the challenges of antigen exploration due to their notable spatiotemporal heterogeneity and elusive nature at the protein levels. Redirecting future efforts toward intracellular, MHC-presented antigens could offer a more viable avenue.
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9
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Li J, Xiao Z, Wang D, Jia L, Nie S, Zeng X, Hu W. The screening, identification, design and clinical application of tumor-specific neoantigens for TCR-T cells. Mol Cancer 2023; 22:141. [PMID: 37649123 PMCID: PMC10466891 DOI: 10.1186/s12943-023-01844-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 08/16/2023] [Indexed: 09/01/2023] Open
Abstract
Recent advances in neoantigen research have accelerated the development of tumor immunotherapies, including adoptive cell therapies (ACTs), cancer vaccines and antibody-based therapies, particularly for solid tumors. With the development of next-generation sequencing and bioinformatics technology, the rapid identification and prediction of tumor-specific antigens (TSAs) has become possible. Compared with tumor-associated antigens (TAAs), highly immunogenic TSAs provide new targets for personalized tumor immunotherapy and can be used as prospective indicators for predicting tumor patient survival, prognosis, and immune checkpoint blockade response. Here, the identification and characterization of neoantigens and the clinical application of neoantigen-based TCR-T immunotherapy strategies are summarized, and the current status, inherent challenges, and clinical translational potential of these strategies are discussed.
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Affiliation(s)
- Jiangping Li
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
| | - Zhiwen Xiao
- Department of Otolaryngology Head and Neck Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510655, People's Republic of China
| | - Donghui Wang
- Department of Radiation Oncology, The Third Affiliated Hospital Sun Yat-Sen University, Guangzhou, 510630, People's Republic of China
| | - Lei Jia
- International Health Medicine Innovation Center, Shenzhen University, Shenzhen, 518060, People's Republic of China
| | - Shihong Nie
- Department of Radiation Oncology, West China Hospital, Sichuan University, Cancer Center, Chengdu, 610041, People's Republic of China
| | - Xingda Zeng
- Department of Parasitology of Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Wei Hu
- Division of Vascular Surgery, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, People's Republic of China
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10
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Al-Dalahmah O, Argenziano MG, Kannan A, Mahajan A, Furnari J, Paryani F, Boyett D, Save A, Humala N, Khan F, Li J, Lu H, Sun Y, Tuddenham JF, Goldberg AR, Dovas A, Banu MA, Sudhakar T, Bush E, Lassman AB, McKhann GM, Gill BJA, Youngerman B, Sisti MB, Bruce JN, Sims PA, Menon V, Canoll P. Re-convolving the compositional landscape of primary and recurrent glioblastoma reveals prognostic and targetable tissue states. Nat Commun 2023; 14:2586. [PMID: 37142563 PMCID: PMC10160047 DOI: 10.1038/s41467-023-38186-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 04/20/2023] [Indexed: 05/06/2023] Open
Abstract
Glioblastoma (GBM) diffusely infiltrates the brain and intermingles with non-neoplastic brain cells, including astrocytes, neurons and microglia/myeloid cells. This complex mixture of cell types forms the biological context for therapeutic response and tumor recurrence. We used single-nucleus RNA sequencing and spatial transcriptomics to determine the cellular composition and transcriptional states in primary and recurrent glioma and identified three compositional 'tissue-states' defined by cohabitation patterns between specific subpopulations of neoplastic and non-neoplastic brain cells. These tissue-states correlated with radiographic, histopathologic, and prognostic features and were enriched in distinct metabolic pathways. Fatty acid biosynthesis was enriched in the tissue-state defined by the cohabitation of astrocyte-like/mesenchymal glioma cells, reactive astrocytes, and macrophages, and was associated with recurrent GBM and shorter survival. Treating acute slices of GBM with a fatty acid synthesis inhibitor depleted the transcriptional signature of this pernicious tissue-state. These findings point to therapies that target interdependencies in the GBM microenvironment.
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Affiliation(s)
- Osama Al-Dalahmah
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA.
| | - Michael G Argenziano
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Adithya Kannan
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Aayushi Mahajan
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Julia Furnari
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Fahad Paryani
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Deborah Boyett
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Akshay Save
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Nelson Humala
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Fatima Khan
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, USA
| | - Juncheng Li
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, USA
| | - Hong Lu
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, USA
| | - Yu Sun
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, USA
| | - John F Tuddenham
- Department of Systems Biology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Alexander R Goldberg
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, USA
| | - Athanassios Dovas
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, USA
| | - Matei A Banu
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Tejaswi Sudhakar
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Erin Bush
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Andrew B Lassman
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Systems Biology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Guy M McKhann
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Brian J A Gill
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Brett Youngerman
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Michael B Sisti
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Jeffrey N Bruce
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Neurological Surgery, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Peter A Sims
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA
- Department of Systems Biology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA
| | - Vilas Menon
- Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, 10032, USA.
| | - Peter Canoll
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons (VP&S), New York, NY, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, 10032, USA.
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11
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Gandhi S, Bhushan A, Shukla U, Pundir A, Singh S, Srivastava T. Downregulation of lncRNA SNHG1 in hypoxia and stem cells is associated with poor disease prognosis in gliomas. Cell Cycle 2023; 22:1135-1153. [PMID: 36945177 PMCID: PMC10081076 DOI: 10.1080/15384101.2023.2191411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 02/15/2023] [Accepted: 03/12/2023] [Indexed: 03/23/2023] Open
Abstract
Gliomas are brain tumors associated with high morbidity, relapse and lethality despite improvement in therapeutic regimes. The hypoxic tumor microenvironment is a key feature associated with such poor outcomes in gliomas. The Hypoxia Inducible Factor (HIF) family of transcription factors are master regulators of cellular proliferation, high metabolic rates and angiogenesis via aberrant expression of downstream genes. Recent studies have implicated long non-coding RNAs (lncRNAs) as potential prognostic and diagnostic biomarkers. In this study, identification of hypoxia regulated lncRNA with a bioinformatic pipeline consisting of a newly developed tool "GenOx" was utilized for the identification of Hypoxia Response Element (HRE) and Hypoxia Ancillary Sequence (HAS) motifs in the promoter regions of lncRNAs. This was coupled with molecular, functional and interactome-based analyses of these hypoxia-relevant lncRNAs in primary tumors and cell-line models. We report on the identification of novel hypoxia regulated lncRNAs SNHG12, CASC7 and MF12-AS1. A strong association of RNA splicing mechanisms was observed with enriched lncRNAs. Several lncRNAs have emerged as prognostic biomarkers, of which TP53TG1 and SNHG1 were identified as highly relevant lncRNAs in glioma progression and validated in hypoxia cultured cells. Significantly, we determined that SNHG1 expression in tumor (vs. normal) is different from glioma stem cells, GSC (vs. tumors) and in hypoxia (vs. normoxia), positioning downregulation of SNHG1 to be associated with worsened prognosis.
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Affiliation(s)
- Sanchit Gandhi
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Ashish Bhushan
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Unmesh Shukla
- Institute of Informatics and Communication, University of Delhi South Campus, New Delhi, India
| | - Amit Pundir
- Department of Electronics, Maharaja Agrasen College, University of Delhi, Delhi, India
| | - Sanjeev Singh
- Institute of Informatics and Communication, University of Delhi South Campus, New Delhi, India
| | - Tapasya Srivastava
- Department of Genetics, University of Delhi South Campus, New Delhi, India
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12
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Interaction of a Novel Alternatively Spliced Variant of HSD11B1L with Parkin Enhances the Carcinogenesis Potential of Glioblastoma: Peiminine Interferes with This Interaction. Cells 2023; 12:cells12060894. [PMID: 36980235 PMCID: PMC10047488 DOI: 10.3390/cells12060894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/06/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Glioblastoma (GBM) is a primary brain tumor of unknown etiology. It is extremely aggressive, incurable and has a short average survival time for patients. Therefore, understanding the precise molecular mechanisms of this diseases is essential to establish effective treatments. In this study, we cloned and sequenced a splice variant of the hydroxysteroid 11-β dehydrogenase 1 like gene (HSD11B1L) and named it HSD11B1L-181. HSD11 B1L-181 was specifically expressed only in GBM cells. Overexpression of this variant can significantly promote the proliferation, migration and invasion of GBM cells. Knockdown of HSD11B1L-181 expression inhibited the oncogenic potential of GBM cells. Furthermore, we identified the direct interaction of parkin with HSD11B1L-181 by screening the GBM cDNA expression library via yeast two-hybrid. Parkin is an RBR E3 ubiquitin ligase whose mutations are associated with tumorigenesis. Small interfering RNA treatment of parkin enhanced the proliferative, migratory and invasive abilities of GBM. Finally, we found that the alkaloid peiminine from the bulbs of Fritillaria thunbergii Miq blocks the interaction between HSD11B1L-181 and parkin, thereby lessening carcinogenesis of GBM. We further confirmed the potential of peiminine to prevent GBM in cellular, ectopic and orthotopic xenograft mouse models. Taken together, these findings not only provide insight into GBM, but also present an opportunity for future GBM treatment.
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13
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Neoantigens: promising targets for cancer therapy. Signal Transduct Target Ther 2023; 8:9. [PMID: 36604431 PMCID: PMC9816309 DOI: 10.1038/s41392-022-01270-x] [Citation(s) in RCA: 205] [Impact Index Per Article: 205.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 11/14/2022] [Accepted: 11/27/2022] [Indexed: 01/07/2023] Open
Abstract
Recent advances in neoantigen research have accelerated the development and regulatory approval of tumor immunotherapies, including cancer vaccines, adoptive cell therapy and antibody-based therapies, especially for solid tumors. Neoantigens are newly formed antigens generated by tumor cells as a result of various tumor-specific alterations, such as genomic mutation, dysregulated RNA splicing, disordered post-translational modification, and integrated viral open reading frames. Neoantigens are recognized as non-self and trigger an immune response that is not subject to central and peripheral tolerance. The quick identification and prediction of tumor-specific neoantigens have been made possible by the advanced development of next-generation sequencing and bioinformatic technologies. Compared to tumor-associated antigens, the highly immunogenic and tumor-specific neoantigens provide emerging targets for personalized cancer immunotherapies, and serve as prospective predictors for tumor survival prognosis and immune checkpoint blockade responses. The development of cancer therapies will be aided by understanding the mechanism underlying neoantigen-induced anti-tumor immune response and by streamlining the process of neoantigen-based immunotherapies. This review provides an overview on the identification and characterization of neoantigens and outlines the clinical applications of prospective immunotherapeutic strategies based on neoantigens. We also explore their current status, inherent challenges, and clinical translation potential.
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14
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Ji X, Liu Z, Gao J, Bing X, He D, Liu W, Wang Y, Wei Y, Yin X, Zhang F, Han M, Lu X, Wang Z, Liu Q, Xin T. N 6-Methyladenosine-modified lncRNA LINREP promotes Glioblastoma progression by recruiting the PTBP1/HuR complex. Cell Death Differ 2023; 30:54-68. [PMID: 35871232 PMCID: PMC9883516 DOI: 10.1038/s41418-022-01045-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 07/05/2022] [Accepted: 07/11/2022] [Indexed: 02/01/2023] Open
Abstract
Glioblastoma multiforme (GBM) is acknowledged as the most aggressive primary brain tumor in adults. It is typically characterized by the high heterogeneity which corresponds to extensive genetic mutations and complex alternative splicing (AS) profiles. Known as a major repressive splicing factor in AS, polypyrimidine tract-binding protein 1 (PTBP1) is involved in the exon skipping events of multiple precursor mRNAs (pre-mRNAs) in GBM. However, precise mechanisms that modulate the expression and activity of PTBP1 remain to be elucidated. In present study, we provided evidences for the role of a long intergenic noncoding RNA (LINREP) implicated in the regulation of PTBP1-induced AS. LINREP interacted with PTBP1 and human antigen R (HuR, ELAVL1) protein complex and protected PTBP1 from the ubiquitin-proteasome degradation. Consequently, a broad spectrum of PTBP1-induced spliced variants was generated by exon skipping, especially for the skipping of reticulon 4 (RTN4) exon 3. Interestingly, LINREP also promoted the dissociation of nuclear UPF1 from PTBP1, which increased the binding of PTBP1 to RTN4 transcripts, thus enhancing the skipping of RTN4 exon 3 to some extent. Besides, HuR recruitment was essential for the stabilization of LINREP via a manner dependent on N6-methyladenosine (m6A) formation and identification. Taken together, our results demonstrated the functional significance of LINREP in human GBM for its dual regulation of PTBP1-induced AS and its m6A modification modality, implicating that HuR/LINREP/PTBP1 axis might serve as a potential therapeutic target for GBM.
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Affiliation(s)
- Xiaoshuai Ji
- Department of Neurosurgery, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250014, China
| | - Zihao Liu
- Department of Neurosurgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250021, China
| | - Jiajia Gao
- Department of Neurosurgery, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250014, China
| | - Xin Bing
- Department of Otolaryngology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250021, China
| | - Dong He
- Department of Neurosurgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250021, China
| | - Wenqing Liu
- Department of Neurosurgery, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250014, China
| | - Yunda Wang
- Department of Neurosurgery, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong Medicine and Health Key Laboratory of Neurosurgery, Jinan, 250014, China
| | - Yanbang Wei
- Department of Histology and Embryology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Xianyong Yin
- Department of Neurosurgery, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong Medicine and Health Key Laboratory of Neurosurgery, Jinan, 250014, China
| | - Fenglin Zhang
- Department of Neurosurgery, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250014, China
| | - Min Han
- Department of Neurosurgery, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong Medicine and Health Key Laboratory of Neurosurgery, Jinan, 250014, China
| | - Xiangdong Lu
- Department of Neurosurgery, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Zixiao Wang
- Department of Histology and Embryology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China
| | - Qian Liu
- Department of Histology and Embryology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
| | - Tao Xin
- Department of Neurosurgery, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250014, China.
- Department of Neurosurgery, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Shandong Medicine and Health Key Laboratory of Neurosurgery, Jinan, 250014, China.
- Department of Neurosurgery, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, 330006, Jiangxi, China.
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15
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Jovanovic D, Yan S, Baumgartner M. The molecular basis of the dichotomous functionality of MAP4K4 in proliferation and cell motility control in cancer. Front Oncol 2022; 12:1059513. [PMID: 36568222 PMCID: PMC9774001 DOI: 10.3389/fonc.2022.1059513] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 11/15/2022] [Indexed: 12/13/2022] Open
Abstract
The finely tuned integration of intra- and extracellular cues by components of the mitogen-activated protein kinase (MAPK) signaling pathways controls the mutually exclusive phenotypic manifestations of uncontrolled growth and tumor cell dissemination. The Ser/Thr kinase MAP4K4 is an upstream integrator of extracellular cues involved in both proliferation and cell motility control. Initially identified as an activator of the c-Jun N-terminal kinase (JNK), the discovery of diverse functions and additional effectors of MAP4K4 beyond JNK signaling has considerably broadened our understanding of this complex kinase. The implication of MAP4K4 in the regulation of cytoskeleton dynamics and cell motility provided essential insights into its role as a pro-metastatic kinase in cancer. However, the more recently revealed role of MAP4K4 as an activator of the Hippo tumor suppressor pathway has complicated the understanding of MAP4K4 as an oncogenic driver kinase. To develop a better understanding of the diverse functions of MAP4K4 and their potential significance in oncogenesis and tumor progression, we have collected and assessed the current evidence of MAP4K4 implication in molecular mechanisms that control proliferation and promote cell motility. A better understanding of these mechanisms is particularly relevant in the brain, where MAP4K4 is highly expressed and under pathological conditions either drives neuronal cell death in neurodegenerative diseases or cell dissemination in malignant tumors. We review established effectors and present novel interactors of MAP4K4, which offer mechanistic insights into MAP4K4 function and may inspire novel intervention strategies. We discuss possible implications of novel interactors in tumor growth and dissemination and evaluate potential therapeutic strategies to selectively repress pro-oncogenic functions of MAP4K4.
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Affiliation(s)
| | | | - Martin Baumgartner
- Pediatric Molecular Neuro-Oncology Research, Children’s Research Centre, Division of Oncology, University Children’s Hospital Zürich, Zürich, Switzerland
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16
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Wang L, Jung J, Babikir H, Shamardani K, Jain S, Feng X, Gupta N, Rosi S, Chang S, Raleigh D, Solomon D, Phillips JJ, Diaz AA. A single-cell atlas of glioblastoma evolution under therapy reveals cell-intrinsic and cell-extrinsic therapeutic targets. NATURE CANCER 2022; 3:1534-1552. [PMID: 36539501 PMCID: PMC9767870 DOI: 10.1038/s43018-022-00475-x] [Citation(s) in RCA: 70] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 11/02/2022] [Indexed: 12/24/2022]
Abstract
Recent longitudinal studies of glioblastoma (GBM) have demonstrated a lack of apparent selection pressure for specific DNA mutations in recurrent disease. Single-cell lineage tracing has shown that GBM cells possess a high degree of plasticity. Together this suggests that phenotype switching, as opposed to genetic evolution, may be the escape mechanism that explains the failure of precision therapies to date. We profiled 86 primary-recurrent patient-matched paired GBM specimens with single-nucleus RNA, single-cell open-chromatin, DNA and spatial transcriptomic/proteomic assays. We found that recurrent GBMs are characterized by a shift to a mesenchymal phenotype. We show that the mesenchymal state is mediated by activator protein 1. Increased T-cell abundance at recurrence was prognostic and correlated with hypermutation status. We identified tumor-supportive networks of paracrine and autocrine signals between GBM cells, nonmalignant neuroglia and immune cells. We present cell-intrinsic and cell-extrinsic targets and a single-cell multiomics atlas of GBM under therapy.
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Affiliation(s)
- Lin Wang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Jangham Jung
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Husam Babikir
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Karin Shamardani
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Saket Jain
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Xi Feng
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Nalin Gupta
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Susanna Rosi
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Susan Chang
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - David Raleigh
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - David Solomon
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Joanna J Phillips
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Aaron A Diaz
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA.
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17
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Neoantigen discovery and applications in glioblastoma: An immunotherapy perspective. Cancer Lett 2022; 550:215945. [DOI: 10.1016/j.canlet.2022.215945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 09/27/2022] [Accepted: 10/03/2022] [Indexed: 11/21/2022]
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18
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Qazi MA, Salim SK, Brown KR, Mikolajewicz N, Savage N, Han H, Subapanditha MK, Bakhshinyan D, Nixon A, Vora P, Desmond K, Chokshi C, Singh M, Khoo A, Macklin A, Khan S, Tatari N, Winegarden N, Richards L, Pugh T, Bock N, Mansouri A, Venugopal C, Kislinger T, Goyal S, Moffat J, Singh SK. Characterization of the minimal residual disease state reveals distinct evolutionary trajectories of human glioblastoma. Cell Rep 2022; 40:111420. [PMID: 36170831 DOI: 10.1016/j.celrep.2022.111420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/15/2022] [Accepted: 09/02/2022] [Indexed: 11/25/2022] Open
Abstract
Recurrence of solid tumors renders patients vulnerable to advanced, treatment-refractory disease state with mutational and oncogenic landscape distinctive from initial diagnosis. Improving outcomes for recurrent cancers requires a better understanding of cell populations that expand from the post-therapy, minimal residual disease (MRD) state. We profile barcoded tumor stem cell populations through therapy at tumor initiation, MRD, and recurrence in our therapy-adapted, patient-derived xenograft models of glioblastoma (GBM). Tumors show distinct patterns of recurrence in which clonal populations exhibit either a pre-existing fitness advantage or an equipotency fitness acquired through therapy. Characterization of the MRD state by single-cell and bulk RNA sequencing reveals a tumor-intrinsic immunomodulatory signature with prognostic significance at the transcriptomic level and in proteomic analysis of cerebrospinal fluid (CSF) collected from patients with GBM. Our results provide insight into the innate and therapy-driven dynamics of human GBM and the prognostic value of interrogating the MRD state in solid cancers.
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Affiliation(s)
- Maleeha A Qazi
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Sabra K Salim
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Kevin R Brown
- Terrence Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Nicholas Mikolajewicz
- Terrence Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Neil Savage
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Hong Han
- Terrence Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Minomi K Subapanditha
- McMaster Immunology Research Centre, McMaster University, Hamilton, ON L8N 3Z5, Canada
| | - David Bakhshinyan
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Allison Nixon
- Terrence Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada
| | - Parvez Vora
- Department of Surgery, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Kimberly Desmond
- Department of Psychology, Neuroscience, and Behaviour, McMaster University, Hamilton, ON L8S 4K1, Canada; Sunnybrook Research Institute, Physical Sciences Platform, Toronto, ON M4N 3M5, Canada
| | - Chirayu Chokshi
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Mohini Singh
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Amanda Khoo
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Andrew Macklin
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Shahbaz Khan
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Nazanin Tatari
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
| | | | | | - Trevor Pugh
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Nicholas Bock
- Department of Psychology, Neuroscience, and Behaviour, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Alireza Mansouri
- Department of Neurosurgery, Penn State Hershey Medical Center, Hershey, PA 17033, USA
| | - Chitra Venugopal
- Department of Surgery, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Thomas Kislinger
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada; Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Sidhartha Goyal
- Department of Physics, University of Toronto, Toronto, ON M5S 1A7, Canada
| | - Jason Moffat
- Terrence Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada; Institute for Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G9, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
| | - Sheila K Singh
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada; Department of Surgery, McMaster University, Hamilton, ON L8S 4L8, Canada.
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19
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Long-Read Nanopore Sequencing Identifies Mismatch Repair-Deficient Related Genes with Alternative Splicing in Colorectal Cancer. DISEASE MARKERS 2022; 2022:4433270. [PMID: 35909892 PMCID: PMC9334049 DOI: 10.1155/2022/4433270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 06/15/2022] [Accepted: 06/23/2022] [Indexed: 11/17/2022]
Abstract
Background Alternative splicing (AS) plays a crucial role in regulating the progression of colorectal cancer (CRC), but its distribution remains to be explored. Here, we aim to investigate the genes edited by AS which show differential expression in patients with mismatch repair deficiency (dMMR)/microsatellite instability (MSI). Materials and Methods We applied long-read nanopore sequencing to determine the mRNA profiles and screen AS genes using Oxford Nanopore Technologies (ONT) method in ten paired CRC tissues. CRC tissue and plasma samples were used to validate the differential genes with AS using real-time fluorescent quantitative PCR, immunohistochemistry, and enzyme-linked immunosorbent assay. Results ONT sequencing identified 404 genes were downregulated, and 348 genes were upregulated in MSI cancer tissues compared with microsatellite stability (MSS) cancer tissues. In total, 6,200 AS events were identified in 2,728 mRNA transcripts. WGCNA revealed dMMR/MSI-correlated gene modules, including INHBA and RPL22L1, which were upregulated; conversely, HMGCS2 was downregulated in MSI cancer. Overexpression of RPL22L1, INHBA, and CAPZA1 was further confirmed in CRC tissues. INHBA was found to be associated with tumor lymphatic metastasis. Importantly, the levels of INHBA in CRC plasma were significantly increased compared with those in noncancer plasma. INHBA showed a higher level in dMMR/MSI CRC than in MSS CRC, indicating that INHBA is a useful biomarker. Conclusion Our results showed that ONT-identified genes provide a pool to explore AS-associated markers for dMMR/MSI CRC. We demonstrated INHBA as a promising signature for clinical application in predicting tumor lymphatic metastasis and screening dMMR/MSI candidates.
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20
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Alanio C, Binder ZA, Chang RB, Nasrallah MP, Delman D, Li JH, Tang OY, Zhang LY, Zhang JV, Wherry EJ, O’Rourke DM, Beatty GL. Immunologic Features in De Novo and Recurrent Glioblastoma Are Associated with Survival Outcomes. Cancer Immunol Res 2022; 10:800-810. [PMID: 35507919 PMCID: PMC9250610 DOI: 10.1158/2326-6066.cir-21-1050] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/09/2022] [Accepted: 04/29/2022] [Indexed: 01/03/2023]
Abstract
Glioblastoma (GBM) is an immunologically "cold" tumor characterized by poor responsiveness to immunotherapy. Standard of care for GBM is surgical resection followed by chemoradiotherapy and maintenance chemotherapy. However, tumor recurrence is the norm, and recurring tumors are found frequently to have acquired molecular changes (e.g., mutations) that may influence their immunobiology. Here, we compared the immune contexture of de novo GBM and recurrent GBM (rGBM) using high-dimensional cytometry and multiplex IHC. Although myeloid and T cells were similarly abundant in de novo and rGBM, their spatial organization within tumors differed and was linked to outcomes. In rGBM, T cells were enriched and activated in perivascular regions and clustered with activated macrophages and fewer regulatory T cells. Moreover, a higher expression of phosphorylated STAT1 by T cells in these regions at recurrence was associated with a favorable prognosis. Together, our data identify differences in the immunobiology of de novo GBM and rGBM and identify perivascular T cells as potential therapeutic targets. See related Spotlight by Bayik et al., p. 787.
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Affiliation(s)
- Cécile Alanio
- INSERM U932, PSL University, Institut Curie, Paris 75005, France,Laboratoire d'immunologie clinique, Institut Curie, Paris 75005, France,Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Parker Institute for Cancer Immunotherapy at University of Pennsylvania, Philadelphia, PA, 19104 USA,Glioblastoma Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Correspondence: Gregory L. Beatty, MD, PhD, University of Pennsylvania, Perelman Center for Advanced Medicine, South Pavilion, Room 8-107, 3400 Civic Center Blvd., Philadelphia, PA 19104-5156, , Cecile Alanio, MD, PhD, Deputy Director of the Clinical Immunology Laboratory at Institut Curie, Scientist in the U932 INSERM “Immunity and Cancer” Unit, Center for Cancer Immunotherapy, Hopital - 2ème Etage, 26 rue d’Ulm, 75248 Paris Cedex 05, France,
| | - Zev A. Binder
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA
| | - Renee B. Chang
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA
| | - MacLean P. Nasrallah
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA
| | - Devora Delman
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA
| | - Joey H. Li
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA
| | - Oliver Y. Tang
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Warren Alpert Medical School of Brown University, Brown University, Providence, RI, 02903
| | - Logan Y. Zhang
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA
| | - Jiasi Vicky Zhang
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA
| | - E. John Wherry
- Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Parker Institute for Cancer Immunotherapy at University of Pennsylvania, Philadelphia, PA, 19104 USA,Glioblastoma Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA
| | - Donald M. O’Rourke
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA
| | - Gregory L. Beatty
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104 USA,Correspondence: Gregory L. Beatty, MD, PhD, University of Pennsylvania, Perelman Center for Advanced Medicine, South Pavilion, Room 8-107, 3400 Civic Center Blvd., Philadelphia, PA 19104-5156, , Cecile Alanio, MD, PhD, Deputy Director of the Clinical Immunology Laboratory at Institut Curie, Scientist in the U932 INSERM “Immunity and Cancer” Unit, Center for Cancer Immunotherapy, Hopital - 2ème Etage, 26 rue d’Ulm, 75248 Paris Cedex 05, France,
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21
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Halima A, Vuong W, Chan TA. Next-generation sequencing: unraveling genetic mechanisms that shape cancer immunotherapy efficacy. J Clin Invest 2022; 132:154945. [PMID: 35703181 PMCID: PMC9197511 DOI: 10.1172/jci154945] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Immunity is governed by fundamental genetic processes. These processes shape the nature of immune cells and set the rules that dictate the myriad complex cellular interactions that power immune systems. Everything from the generation of T cell receptors and antibodies, control of epitope presentation, and recognition of pathogens by the immunoediting of cancer cells is, in large part, made possible by core genetic mechanisms and the cellular machinery that they encode. In the last decade, next-generation sequencing has been used to dissect the complexities of cancer immunity with potent effect. Sequencing of exomes and genomes has begun to reveal how the immune system recognizes “foreign” entities and distinguishes self from non-self, especially in the setting of cancer. High-throughput analyses of transcriptomes have revealed deep insights into how the tumor microenvironment affects immunotherapy efficacy. In this Review, we discuss how high-throughput sequencing has added to our understanding of how immune systems interact with cancer cells and how cancer immunotherapies work.
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Affiliation(s)
- Ahmed Halima
- Department of Radiation Oncology, Taussig Cancer Institute, and
| | - Winston Vuong
- Department of Radiation Oncology, Taussig Cancer Institute, and
| | - Timothy A Chan
- Department of Radiation Oncology, Taussig Cancer Institute, and.,Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, Ohio, USA.,National Center for Regenerative Medicine, Cleveland, Ohio, USA
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22
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Fuentes-Fayos AC, Pérez-Gómez JM, G-García ME, Jiménez-Vacas JM, Blanco-Acevedo C, Sánchez-Sánchez R, Solivera J, Breunig JJ, Gahete MD, Castaño JP, Luque RM. SF3B1 inhibition disrupts malignancy and prolongs survival in glioblastoma patients through BCL2L1 splicing and mTOR/ß-catenin pathways imbalances. J Exp Clin Cancer Res 2022; 41:39. [PMID: 35086552 PMCID: PMC8793262 DOI: 10.1186/s13046-022-02241-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 01/03/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Glioblastoma is one of the most devastating cancer worldwide based on its locally aggressive behavior and because it cannot be cured by current therapies. Defects in alternative splicing process are frequent in cancer. Recently, we demonstrated that dysregulation of the spliceosome is directly associated with glioma development, progression, and aggressiveness. METHODS Different human cohorts and a dataset from different glioma mouse models were analyzed to determine the mutation frequency as well as the gene and protein expression levels between tumor and control samples of the splicing-factor-3B-subunit-1 (SF3B1), an essential and druggable spliceosome component. SF3B1 expression was also explored at the single-cell level across all cell subpopulations and transcriptomic programs. The association of SF3B1 expression with relevant clinical data (e.g., overall survival) in different human cohorts was also analyzed. Different functional (proliferation/migration/tumorspheres and colonies formation/VEGF secretion/apoptosis) and mechanistic (gene expression/signaling pathways) assays were performed in three different glioblastomas cell models (human primary cultures and cell lines) in response to SF3B1 blockade (using pladienolide B treatment). Moreover, tumor progression and formation were monitored in response to SF3B1 blockade in two preclinical xenograft glioblastoma mouse models. RESULTS Our data provide novel evidence demonstrating that the splicing-factor-3B-subunit-1 (SF3B1, an essential and druggable spliceosome component) is low-frequency mutated in human gliomas (~ 1 %) but widely overexpressed in glioblastoma compared with control samples from the different human cohorts and mouse models included in the present study, wherein SF3B1 levels are associated with key molecular and clinical features (e.g., overall survival, poor prognosis and/or drug resistance). Remarkably, in vitro and in vivo blockade of SF3B1 activity with pladienolide B drastically altered multiple glioblastoma pathophysiological processes (i.e., reduction in proliferation, migration, tumorspheres formation, VEGF secretion, tumor initiation and increased apoptosis) likely by suppressing AKT/mTOR/ß-catenin pathways, and an imbalance of BCL2L1 splicing. CONCLUSIONS Together, we highlight SF3B1 as a potential diagnostic and prognostic biomarker and an efficient pharmacological target in glioblastoma, offering a clinically relevant opportunity worth to be explored in humans.
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Affiliation(s)
- Antonio C Fuentes-Fayos
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004, Córdoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, 14004, Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004, Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), 14004, Cordoba, Spain
| | - Jesús M Pérez-Gómez
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004, Córdoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, 14004, Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004, Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), 14004, Cordoba, Spain
| | - Miguel E G-García
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004, Córdoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, 14004, Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004, Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), 14004, Cordoba, Spain
| | - Juan M Jiménez-Vacas
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004, Córdoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, 14004, Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004, Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), 14004, Cordoba, Spain
| | - Cristóbal Blanco-Acevedo
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004, Córdoba, Spain
- Reina Sofia University Hospital (HURS), 14004, Cordoba, Spain
- Department of Neurosurgery, Reina Sofia University Hospital, 14004, Cordoba, Spain
| | - Rafael Sánchez-Sánchez
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004, Córdoba, Spain
- Reina Sofia University Hospital (HURS), 14004, Cordoba, Spain
- Pathology Service, Reina Sofia University Hospital, 14004, Cordoba, Spain
| | - Juan Solivera
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004, Córdoba, Spain
- Reina Sofia University Hospital (HURS), 14004, Cordoba, Spain
- Department of Neurosurgery, Reina Sofia University Hospital, 14004, Cordoba, Spain
| | - Joshua J Breunig
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
- Center for Neural Sciences in Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Manuel D Gahete
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004, Córdoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, 14004, Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004, Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), 14004, Cordoba, Spain
| | - Justo P Castaño
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004, Córdoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, 14004, Cordoba, Spain
- Reina Sofia University Hospital (HURS), 14004, Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), 14004, Cordoba, Spain
| | - Raúl M Luque
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC), 14004, Córdoba, Spain.
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, 14004, Cordoba, Spain.
- Reina Sofia University Hospital (HURS), 14004, Cordoba, Spain.
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), 14004, Cordoba, Spain.
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23
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Somatostatin Receptor Splicing Variant sst5TMD4 Overexpression in Glioblastoma Is Associated with Poor Survival, Increased Aggressiveness Features, and Somatostatin Analogs Resistance. Int J Mol Sci 2022; 23:ijms23031143. [PMID: 35163067 PMCID: PMC8835306 DOI: 10.3390/ijms23031143] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 12/29/2021] [Accepted: 01/17/2022] [Indexed: 12/16/2022] Open
Abstract
Glioblastoma (GBM) is the most malignant and lethal brain tumor. Current standard treatment consists of surgery followed by radiotherapy/chemotherapy; however, this is only a palliative approach with a mean post-operative survival of scarcely ~12-15 months. Thus, the identification of novel therapeutic targets to treat this devastating pathology is urgently needed. In this context, the truncated splicing variant of the somatostatin receptor subtype 5 (sst5TMD4), which is produced by aberrant alternative splicing, has been demonstrated to be overexpressed and associated with increased aggressiveness features in several tumors. However, the presence, functional role, and associated molecular mechanisms of sst5TMD4 in GBM have not been yet explored. Therefore, we performed a comprehensive analysis to characterize the expression and pathophysiological role of sst5TMD4 in human GBM. sst5TMD4 was significantly overexpressed (at mRNA and protein levels) in human GBM tissue compared to non-tumor (control) brain tissue. Remarkably, sst5TMD4 expression was significantly associated with poor overall survival and recurrent tumors in GBM patients. Moreover, in vitro sst5TMD4 overexpression (by specific plasmid) increased, whereas sst5TMD4 silencing (by specific siRNA) decreased, key malignant features (i.e., proliferation and migration capacity) of GBM cells (U-87 MG/U-118 MG models). Furthermore, sst5TMD4 overexpression in GBM cells altered the activity of multiple key signaling pathways associated with tumor aggressiveness/progression (AKT/JAK-STAT/NF-κB/TGF-β), and its silencing sensitized GBM cells to the antitumor effect of pasireotide (a somatostatin analog). Altogether, these results demonstrate that sst5TMD4 is overexpressed and associated with enhanced malignancy features in human GBMs and reveal its potential utility as a novel diagnostic/prognostic biomarker and putative therapeutic target in GBMs.
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