1
|
Tompa M, Galik B, Urban P, Kajtar BI, Kraboth Z, Gyenesei A, Miseta A, Kalman B. On the Boundary of Exploratory Genomics and Translation in Sequential Glioblastoma. Int J Mol Sci 2024; 25:7564. [PMID: 39062807 PMCID: PMC11277311 DOI: 10.3390/ijms25147564] [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: 06/11/2024] [Revised: 07/01/2024] [Accepted: 07/05/2024] [Indexed: 07/28/2024] Open
Abstract
OMICS methods brought significant advancements to the understanding of tumor cell biology, which transformed the treatment and prognosis of several cancers. Clinical practice and outcomes, however, changed significantly less in the case of glioblastoma (GBM). In this study, we aimed to assess the utility of whole exome (WES) sequencing in the clinical setting. Ten pairs of formalin-fixed, paraffin-embedded (FFPE) GBM specimens were obtained at onset (GBM-P) and at recurrence (GBM-R). Histopathological and molecular features of all samples supported the diagnosis of GBM based on WHO CNS5. WES data were filtered, applying a strict and custom-made pipeline, and occurrence of oncogenic and likely oncogenic variants in GBM-P, GBM-R or both were identified by using the VarSeq program version 2.5.0 (Golden Helix, Inc.). Characteristics and recurrence of the variants were analyzed in our own cohort and were also compared to those available in the COSMIC database. The lists of oncogenic and likely oncogenic variants corresponded to those identified in other studies. The average number of these variants were 4 and 5 out of all detected 24 and 34 variants in GBM-P and GBM-R samples, respectively. On average, one shared oncogenic/likely oncogenic variant was found in the pairs. We assessed the identified variants' therapeutic significance, also taking into consideration the guidelines by the Association for Molecular Pathology (AMP). Our data support that a thorough WES analysis is suitable for identifying oncogenic and likely oncogenic variants in an individual clinical sample or a small cohort of FFPE glioma specimens, which concur with those of comprehensive research studies. Such analyses also allow us to monitor molecular dynamics of sequential GBM. In addition, careful evaluation of data according to the AMP guideline reveal that though therapeutic applicability of the variants is generally limited in the clinic, such information may be valuable in selected cases, and can support innovative preclinical and clinical trials.
Collapse
Affiliation(s)
- Marton Tompa
- Szentagothai Research Center, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary; (B.G.); (P.U.); (A.G.)
- Department of Molecular Medicine, Markusovszky University Teaching Hospital, 5. Markusovszky Street, 9700 Szombathely, Hungary
| | - Bence Galik
- Szentagothai Research Center, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary; (B.G.); (P.U.); (A.G.)
| | - Peter Urban
- Szentagothai Research Center, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary; (B.G.); (P.U.); (A.G.)
| | - Bela Istvan Kajtar
- Department of Pathology, School of Medicine, University of Pecs, 12. Szigeti Street, 7624 Pecs, Hungary; (B.I.K.); (Z.K.)
| | - Zoltan Kraboth
- Department of Pathology, School of Medicine, University of Pecs, 12. Szigeti Street, 7624 Pecs, Hungary; (B.I.K.); (Z.K.)
| | - Attila Gyenesei
- Szentagothai Research Center, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary; (B.G.); (P.U.); (A.G.)
| | - Attila Miseta
- Office of the Dean, School of Medicine, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary;
| | - Bernadette Kalman
- Szentagothai Research Center, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary; (B.G.); (P.U.); (A.G.)
- Department of Molecular Medicine, Markusovszky University Teaching Hospital, 5. Markusovszky Street, 9700 Szombathely, Hungary
- Office of the Dean, School of Medicine, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary;
| |
Collapse
|
2
|
Lan Z, Li X, Zhang X. Glioblastoma: An Update in Pathology, Molecular Mechanisms and Biomarkers. Int J Mol Sci 2024; 25:3040. [PMID: 38474286 PMCID: PMC10931698 DOI: 10.3390/ijms25053040] [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: 02/01/2024] [Revised: 02/28/2024] [Accepted: 03/01/2024] [Indexed: 03/14/2024] Open
Abstract
Glioblastoma multiforme (GBM) is the most common and malignant type of primary brain tumor in adults. Despite important advances in understanding the molecular pathogenesis and biology of this tumor in the past decade, the prognosis for GBM patients remains poor. GBM is characterized by aggressive biological behavior and high degrees of inter-tumor and intra-tumor heterogeneity. Increased understanding of the molecular and cellular heterogeneity of GBM may not only help more accurately define specific subgroups for precise diagnosis but also lay the groundwork for the successful implementation of targeted therapy. Herein, we systematically review the key achievements in the understanding of GBM molecular pathogenesis, mechanisms, and biomarkers in the past decade. We discuss the advances in the molecular pathology of GBM, including genetics, epigenetics, transcriptomics, and signaling pathways. We also review the molecular biomarkers that have potential clinical roles. Finally, new strategies, current challenges, and future directions for discovering new biomarkers and therapeutic targets for GBM will be discussed.
Collapse
Affiliation(s)
| | | | - Xiaoqin Zhang
- Department of Pathology, School of Medicine, South China University of Technology, Guangzhou 510006, China; (Z.L.); (X.L.)
| |
Collapse
|
3
|
Yokoda RT, Cobb WS, Yong RL, Crary JF, Viapiano MS, Walker JM, Umphlett M, Tsankova NM, Richardson TE. CDKN2A mutations have equivalent prognostic significance to homozygous deletion in IDH-mutant astrocytoma. J Neuropathol Exp Neurol 2023; 82:845-852. [PMID: 37550258 DOI: 10.1093/jnen/nlad063] [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] [Indexed: 08/09/2023] Open
Abstract
Homozygous deletion of CDKN2A/B is currently considered a molecular signature for grade 4 in IDH-mutant astrocytomas, irrespective of tumor histomorphology. The 2021 WHO Classification of CNS Tumors does not currently include grading recommendations for histologically lower-grade (grade 2-3) IDH-mutant astrocytoma with CDKN2A mutation or other CDKN2A alterations, and little is currently known about the prognostic implications of these alternative CDKN2A inactivating mechanisms. To address this, we evaluated a cohort of institutional and publicly available IDH-mutant astrocytomas, 15 with pathogenic mutations in CDKN2A, 47 with homozygous CDKN2A deletion, and 401 with retained/wildtype CDKN2A. The IDH-mutant astrocytomas with mutant and deleted CDKN2A had significantly higher overall copy number variation compared to those with retained/wildtype CDKN2A, consistent with more aggressive behavior. Astrocytoma patients with CDKN2A mutation had significantly worse progression-free (p = 0.0025) and overall survival (p < 0.0001) compared to grade-matched patients with wildtype CDKN2A, but statistically equivalent progression-free survival and overall survival outcomes to patients with CDKN2A deletion. No significant survival difference was identified between CDKN2A mutant cases with or without loss of the second allele. These findings suggest that CDKN2A mutation has a detrimental effect on survival in otherwise lower-grade IDH-mutant astrocytomas, similar to homozygous CDKN2A deletion, and should be considered for future grading schemes.
Collapse
Affiliation(s)
- Raquel T Yokoda
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Raymund L Yong
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - John F Crary
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mariano S Viapiano
- Department of Neuroscience and Physiology, State University of New York, Upstate Medical University, Syracuse, New York, USA
- Department of Neurosurgery, State University of New York, Upstate Medical University, Syracuse, New York, USA
| | - Jamie M Walker
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Melissa Umphlett
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nadejda M Tsankova
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Timothy E Richardson
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| |
Collapse
|
4
|
De Bacco F, Orzan F, Crisafulli G, Prelli M, Isella C, Casanova E, Albano R, Reato G, Erriquez J, D'Ambrosio A, Panero M, Dall'Aglio C, Casorzo L, Cominelli M, Pagani F, Melcarne A, Zeppa P, Altieri R, Morra I, Cassoni P, Garbossa D, Cassisa A, Bartolini A, Pellegatta S, Comoglio PM, Finocchiaro G, Poliani PL, Boccaccio C. Coexisting cancer stem cells with heterogeneous gene amplifications, transcriptional profiles, and malignancy are isolated from single glioblastomas. Cell Rep 2023; 42:112816. [PMID: 37505981 DOI: 10.1016/j.celrep.2023.112816] [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: 09/16/2022] [Revised: 04/05/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
Glioblastoma (GBM) is known as an intractable, highly heterogeneous tumor encompassing multiple subclones, each supported by a distinct glioblastoma stem cell (GSC). The contribution of GSC genetic and transcriptional heterogeneity to tumor subclonal properties is debated. In this study, we describe the systematic derivation, propagation, and characterization of multiple distinct GSCs from single, treatment-naive GBMs (GSC families). The tumorigenic potential of each GSC better correlates with its transcriptional profile than its genetic make-up, with classical GSCs being inherently more aggressive and mesenchymal more dependent on exogenous growth factors across multiple GBMs. These GSCs can segregate and recapitulate different histopathological aspects of the same GBM, as shown in a paradigmatic tumor with two histopathologically distinct components, including a conventional GBM and a more aggressive primitive neuronal component. This study provides a resource for investigating how GSCs with distinct genetic and/or phenotypic features contribute to individual GBM heterogeneity and malignant escalation.
Collapse
Affiliation(s)
- Francesca De Bacco
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; Department of Oncology, University of Turin, 10060 Candiolo, Italy
| | - Francesca Orzan
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | | | - Marta Prelli
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; Department of Oncology, University of Turin, 10060 Candiolo, Italy
| | - Claudio Isella
- Department of Oncology, University of Turin, 10060 Candiolo, Italy; Laboratory of Oncogenomics, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Elena Casanova
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Raffaella Albano
- Core Facilities, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Gigliola Reato
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; Department of Oncology, University of Turin, 10060 Candiolo, Italy
| | - Jessica Erriquez
- Core Facilities, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Antonio D'Ambrosio
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Mara Panero
- Unit of Pathology, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Carmine Dall'Aglio
- Unit of Pathology, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Laura Casorzo
- Unit of Pathology, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Manuela Cominelli
- Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy
| | - Francesca Pagani
- Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy
| | - Antonio Melcarne
- Neurosurgery Unit, Città della Salute e della Scienza University Hospital, 10126 Turin, Italy
| | - Pietro Zeppa
- Neurosurgery Unit, Città della Salute e della Scienza University Hospital, 10126 Turin, Italy; Department of Neurosciences, University of Turin, 10126 Turin, Italy
| | - Roberto Altieri
- Department of Neurosciences, University of Turin, 10126 Turin, Italy
| | - Isabella Morra
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Paola Cassoni
- Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Diego Garbossa
- Neurosurgery Unit, Città della Salute e della Scienza University Hospital, 10126 Turin, Italy; Department of Neurosciences, University of Turin, 10126 Turin, Italy
| | - Anna Cassisa
- Laboratory of Oncogenomics, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Alice Bartolini
- Core Facilities, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy
| | - Serena Pellegatta
- Unit of Immunotherapy of Brain Tumors, Fondazione IRCCS Istituto Neurologico C. Besta, 20133 Milan, Italy
| | - Paolo M Comoglio
- IFOM ETS - The AIRC Institute of Molecular Oncology, 20139 Milan, Italy
| | | | - Pietro L Poliani
- Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, 25123 Brescia, Italy
| | - Carla Boccaccio
- Laboratory of Cancer Stem Cell Research, Candiolo Cancer Institute, FPO-IRCCS, 10060 Candiolo, Italy; Department of Oncology, University of Turin, 10060 Candiolo, Italy.
| |
Collapse
|
5
|
Richardson TE, Yokoda RT, Rashidipour O, Vij M, Snuderl M, Brem S, Hatanpaa KJ, McBrayer SK, Abdullah KG, Umphlett M, Walker JM, Tsankova NM. Mismatch repair protein mutations in isocitrate dehydrogenase (IDH)-mutant astrocytoma and IDH-wild-type glioblastoma. Neurooncol Adv 2023; 5:vdad085. [PMID: 37554222 PMCID: PMC10406418 DOI: 10.1093/noajnl/vdad085] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND Mutations in mismatch repair (MMR) genes (MSH2, MSH6, MLH1, and PMS2) are associated with microsatellite instability and a hypermutator phenotype in numerous systemic cancers, and germline MMR mutations have been implicated in multi-organ tumor syndromes. In gliomas, MMR mutations can function as an adaptive response to alkylating chemotherapy, although there are well-documented cases of germline and sporadic mutations, with detrimental effects on patient survival. METHODS The clinical, pathologic, and molecular features of 18 IDH-mutant astrocytomas and 20 IDH-wild-type glioblastomas with MMR mutations in the primary tumor were analyzed in comparison to 361 IDH-mutant and 906 IDH-wild-type tumors without MMR mutations. In addition, 12 IDH-mutant astrocytomas and 18 IDH-wild-type glioblastomas that developed MMR mutations between initial presentation and tumor recurrence were analyzed in comparison to 50 IDH-mutant and 104 IDH-wild-type cases that remained MMR-wild-type at recurrence. RESULTS In both IDH-mutant astrocytoma and IDH-wild-type glioblastoma cohorts, the presence of MMR mutation in primary tumors was associated with significantly higher tumor mutation burden (TMB) (P < .0001); however, MMR mutations only resulted in worse overall survival in the IDH-mutant astrocytomas (P = .0069). In addition, gain of MMR mutation between the primary and recurrent surgical specimen occurred more frequently with temozolomide therapy (P = .0073), and resulted in a substantial increase in TMB (P < .0001), higher grade (P = .0119), and worse post-recurrence survival (P = .0022) in the IDH-mutant astrocytoma cohort. CONCLUSIONS These results suggest that whether present initially or in response to therapy, MMR mutations significantly affect TMB but appear to only influence the clinical outcome in IDH-mutant astrocytoma subsets.
Collapse
Affiliation(s)
- Timothy E Richardson
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Raquel T Yokoda
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Omid Rashidipour
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Meenakshi Vij
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Matija Snuderl
- Department of Pathology, New York University Langone Health, New York, New York, USA
| | - Steven Brem
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kimmo J Hatanpaa
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Samuel K McBrayer
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Children’s Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Kalil G Abdullah
- Department of Neurosurgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Melissa Umphlett
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jamie M Walker
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nadejda M Tsankova
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| |
Collapse
|
6
|
Vij M, Yokoda RT, Rashidipour O, Tran I, Vasudevaraja V, Snuderl M, Yong RL, Cobb WS, Umphlett M, Walker JM, Tsankova NM, Richardson TE. The prognostic impact of subclonal IDH1 mutation in grade 2-4 astrocytomas. Neurooncol Adv 2023; 5:vdad069. [PMID: 37324217 PMCID: PMC10263115 DOI: 10.1093/noajnl/vdad069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023] Open
Abstract
Background Isocitrate dehydrogenase (IDH) mutations are thought to represent an early oncogenic event in glioma evolution, found with high penetrance across tumor cells; however, in rare cases, IDH mutation may exist only in a small subset of the total tumor cells (subclonal IDH mutation). Methods We present 2 institutional cases with subclonal IDH1 R132H mutation. In addition, 2 large publicly available cohorts of IDH-mutant astrocytomas were mined for cases harboring subclonal IDH mutations (defined as tumor cell fraction with IDH mutation ≤0.67) and the clinical and molecular features of these subclonal cases were compared to clonal IDH-mutant astrocytomas. Results Immunohistochemistry (IHC) performed on 2 institutional World Health Organization grade 4 IDH-mutant astrocytomas revealed only a minority of tumor cells in each case with IDH1 R132H mutant protein, and next-generation sequencing (NGS) revealed remarkably low IDH1 variant allele frequencies compared to other pathogenic mutations, including TP53 and/or ATRX. DNA methylation classified the first tumor as high-grade IDH-mutant astrocytoma with high confidence (0.98 scores). In the publicly available datasets, subclonal IDH mutation was present in 3.9% of IDH-mutant astrocytomas (18/466 tumors). Compared to clonal IDH-mutant astrocytomas (n = 156), subclonal cases demonstrated worse overall survival in grades 3 (P = .0106) and 4 (P = .0184). Conclusions While rare, subclonal IDH1 mutations are present in a subset of IDH-mutant astrocytomas of all grades, which may lead to a mismatch between IHC results and genetic/epigenetic classification. These findings suggest a possible prognostic role of IDH mutation subclonality, and highlight the potential clinical utility of quantitative IDH1 mutation evaluation by IHC and NGS.
Collapse
Affiliation(s)
- Meenakshi Vij
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Raquel T Yokoda
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Omid Rashidipour
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ivy Tran
- Department of Pathology, NYU Langone Health, New York, New York, USA
| | | | - Matija Snuderl
- Department of Pathology, NYU Langone Health, New York, New York, USA
| | - Raymund L Yong
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Melissa Umphlett
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jamie M Walker
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nadejda M Tsankova
- Nadejda M. Tsankova, MD, PhD, Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, Icahn Building, 9-20E, New York, NY 10029, USA ()
| | - Timothy E Richardson
- Corresponding Authors: Timothy E. Richardson, DO, PhD, Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Annenberg Building, 15.58, New York, NY 10029, USA ()
| |
Collapse
|
7
|
Tyrosine Kinase Inhibitors for Glioblastoma Multiforme: Challenges and Opportunities for Drug Delivery. Pharmaceutics 2022; 15:pharmaceutics15010059. [PMID: 36678688 PMCID: PMC9863099 DOI: 10.3390/pharmaceutics15010059] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Glioblastoma multiforme (GBM) is an aggressive brain tumor with high mortality rates. Due to its invasiveness, heterogeneity, and incomplete resection, the treatment is very challenging. Targeted therapies such as tyrosine kinase inhibitors (TKIs) have great potential for GBM treatment, however, their efficacy is primarily limited by poor brain distribution due to the presence of the blood-brain barrier (BBB). This review focuses on the potential of TKIs in GBM therapy and provides an insight into the reasons behind unsuccessful clinical trials of TKIs in GBM despite the success in treating other cancer types. The main section is dedicated to the use of promising drug delivery strategies for targeted delivery to brain tumors. Use of brain targeted delivery strategies can help enhance the efficacy of TKIs in GBM. Among various drug delivery approaches used to bypass or cross BBB, utilizing nanocarriers is a promising strategy to augment the pharmacokinetic properties of TKIs and overcome their limitations. This is because of their advantages such as the ability to cross BBB, chemical stabilization of drug in circulation, passive or active targeting of tumor, modulation of drug release from the carrier, and the possibility to be delivered via non-invasive intranasal route.
Collapse
|
8
|
Teng C, Zhu Y, Li Y, Dai L, Pan Z, Wanggou S, Li X. Recurrence- and Malignant Progression-Associated Biomarkers in Low-Grade Gliomas and Their Roles in Immunotherapy. Front Immunol 2022; 13:899710. [PMID: 35677036 PMCID: PMC9168984 DOI: 10.3389/fimmu.2022.899710] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 04/12/2022] [Indexed: 12/15/2022] Open
Abstract
Despite a generally better prognosis than high-grade glioma (HGG), recurrence and malignant progression are the main causes for the poor prognosis and difficulties in the treatment of low-grade glioma (LGG). It is of great importance to learn about the risk factors and underlying mechanisms of LGG recurrence and progression. In this study, the transcriptome characteristics of four groups, namely, normal brain tissue and recurrent LGG (rLGG), normal brain tissue and secondary glioblastoma (sGBM), primary LGG (pLGG) and rLGG, and pLGG and sGBM, were compared using Chinese Glioma Genome Atlas (CGGA) and Genotype-Tissue Expression Project (GTEx) databases. In this study, 296 downregulated and 396 upregulated differentially expressed genes (DEGs) with high consensus were screened out. Univariate Cox regression analysis of data from The Cancer Genome Atlas (TCGA) yielded 86 prognostically relevant DEGs; a prognostic prediction model based on five key genes (HOXA1, KIF18A, FAM133A, HGF, and MN1) was established using the least absolute shrinkage and selection operator (LASSO) regression dimensionality reduction and multivariate Cox regression analysis. LGG was divided into high- and low-risk groups using this prediction model. Gene Set Enrichment Analysis (GSEA) revealed that signaling pathway differences in the high- and low-risk groups were mainly seen in tumor immune regulation and DNA damage-related cell cycle checkpoints. Furthermore, the infiltration of immune cells in the high- and low-risk groups was analyzed, which indicated a stronger infiltration of immune cells in the high-risk group than that in the low-risk group, suggesting that an immune microenvironment more conducive to tumor growth emerged due to the interaction between tumor and immune cells. The tumor mutational burden and tumor methylation burden in the high- and low-risk groups were also analyzed, which indicated higher gene mutation burden and lower DNA methylation level in the high-risk group, suggesting that with the accumulation of genomic mutations and epigenetic changes, tumor cells continued to evolve and led to the progression of LGG to HGG. Finally, the value of potential therapeutic targets for the five key genes was analyzed, and findings demonstrated that KIF18A was the gene most likely to be a potential therapeutic target. In conclusion, the prediction model based on these five key genes can better identify the high- and low-risk groups of LGG and lay a solid foundation for evaluating the risk of LGG recurrence and malignant progression.
Collapse
Affiliation(s)
- Chubei Teng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, China.,Department of Neurosurgery, The First Affiliated Hospital, University of South China, Hengyang, China
| | - Yongwei Zhu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, China
| | - Yueshuo Li
- Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, China
| | - Luohuan Dai
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, China
| | - Zhouyang Pan
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, China
| | - Siyi Wanggou
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, China
| | - Xuejun Li
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.,Hunan International Scientific and Technological Cooperation Base of Brain Tumor Research, Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
9
|
Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma. Sci Rep 2022; 12:8784. [PMID: 35610333 PMCID: PMC9130299 DOI: 10.1038/s41598-022-12699-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 05/06/2022] [Indexed: 02/05/2023] Open
Abstract
Multi-omic data, i.e., clinical measures, radiomic, and genetic data, capture multi-faceted tumor characteristics, contributing to a comprehensive patient risk assessment. Here, we investigate the additive value and independent reproducibility of integrated diagnostics in prediction of overall survival (OS) in isocitrate dehydrogenase (IDH)-wildtype GBM patients, by combining conventional and deep learning methods. Conventional radiomics and deep learning features were extracted from pre-operative multi-parametric MRI of 516 GBM patients. Support vector machine (SVM) classifiers were trained on the radiomic features in the discovery cohort (n = 404) to categorize patient groups of high-risk (OS < 6 months) vs all, and low-risk (OS ≥ 18 months) vs all. The trained radiomic model was independently tested in the replication cohort (n = 112) and a patient-wise survival prediction index was produced. Multivariate Cox-PH models were generated for the replication cohort, first based on clinical measures solely, and then by layering on radiomics and molecular information. Evaluation of the high-risk and low-risk classifiers in the discovery/replication cohorts revealed area under the ROC curves (AUCs) of 0.78 (95% CI 0.70-0.85)/0.75 (95% CI 0.64-0.79) and 0.75 (95% CI 0.65-0.84)/0.63 (95% CI 0.52-0.71), respectively. Cox-PH modeling showed a concordance index of 0.65 (95% CI 0.6-0.7) for clinical data improving to 0.75 (95% CI 0.72-0.79) for the combination of all omics. This study signifies the value of integrated diagnostics for improved prediction of OS in GBM.
Collapse
|