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Ma W, Tang W, Kwok JS, Tong AH, Lo CW, Chu AT, Chung BH. A review on trends in development and translation of omics signatures in cancer. Comput Struct Biotechnol J 2024; 23:954-971. [PMID: 38385061 PMCID: PMC10879706 DOI: 10.1016/j.csbj.2024.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 01/31/2024] [Accepted: 01/31/2024] [Indexed: 02/23/2024] Open
Abstract
The field of cancer genomics and transcriptomics has evolved from targeted profiling to swift sequencing of individual tumor genome and transcriptome. The steady growth in genome, epigenome, and transcriptome datasets on a genome-wide scale has significantly increased our capability in capturing signatures that represent both the intrinsic and extrinsic biological features of tumors. These biological differences can help in precise molecular subtyping of cancer, predicting tumor progression, metastatic potential, and resistance to therapeutic agents. In this review, we summarized the current development of genomic, methylomic, transcriptomic, proteomic and metabolic signatures in the field of cancer research and highlighted their potentials in clinical applications to improve diagnosis, prognosis, and treatment decision in cancer patients.
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Affiliation(s)
- Wei Ma
- Hong Kong Genome Institute, Hong Kong, China
| | - Wenshu Tang
- Hong Kong Genome Institute, Hong Kong, China
| | | | | | | | | | - Brian H.Y. Chung
- Hong Kong Genome Institute, Hong Kong, China
- Department of Pediatrics and Adolescent Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Hong Kong Genome Project
- Hong Kong Genome Institute, Hong Kong, China
- Department of Pediatrics and Adolescent Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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Richardson TE, Walker JM, Hambardzumyan D, Brem S, Hatanpaa KJ, Viapiano MS, Pai B, Umphlett M, Becher OJ, Snuderl M, McBrayer SK, Abdullah KG, Tsankova NM. Genetic and epigenetic instability as an underlying driver of progression and aggressive behavior in IDH-mutant astrocytoma. Acta Neuropathol 2024; 148:5. [PMID: 39012509 PMCID: PMC11252228 DOI: 10.1007/s00401-024-02761-7] [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: 05/23/2024] [Revised: 06/28/2024] [Accepted: 06/29/2024] [Indexed: 07/17/2024]
Abstract
In recent years, the classification of adult-type diffuse gliomas has undergone a revolution, wherein specific molecular features now represent defining diagnostic criteria of IDH-wild-type glioblastomas, IDH-mutant astrocytomas, and IDH-mutant 1p/19q-codeleted oligodendrogliomas. With the introduction of the 2021 WHO CNS classification, additional molecular alterations are now integrated into the grading of these tumors, given equal weight to traditional histologic features. However, there remains a great deal of heterogeneity in patient outcome even within these established tumor subclassifications that is unexplained by currently codified molecular alterations, particularly in the IDH-mutant astrocytoma category. There is also significant intercellular genetic and epigenetic heterogeneity and plasticity with resulting phenotypic heterogeneity, making these tumors remarkably adaptable and robust, and presenting a significant barrier to the design of effective therapeutics. Herein, we review the mechanisms and consequences of genetic and epigenetic instability, including chromosomal instability (CIN), microsatellite instability (MSI)/mismatch repair (MMR) deficits, and epigenetic instability, in the underlying biology, tumorigenesis, and progression of IDH-mutant astrocytomas. We also discuss the contribution of recent high-resolution transcriptomics studies toward defining tumor heterogeneity with single-cell resolution. While intratumoral heterogeneity is a well-known feature of diffuse gliomas, the contribution of these various processes has only recently been considered as a potential driver of tumor aggressiveness. CIN has an independent, adverse effect on patient survival, similar to the effect of histologic grade and homozygous CDKN2A deletion, while MMR mutation is only associated with poor overall survival in univariate analysis but is highly correlated with higher histologic/molecular grade and other aggressive features. These forms of genomic instability, which may significantly affect the natural progression of these tumors, response to therapy, and ultimately clinical outcome for patients, are potentially measurable features which could aid in diagnosis, grading, prognosis, and development of personalized therapeutics.
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Affiliation(s)
- Timothy E Richardson
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Annenberg Building, 15.238, New York, NY, 10029, USA.
| | - Jamie M Walker
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Annenberg Building, 15.238, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Dolores Hambardzumyan
- Department of Oncological Sciences, The Tisch Cancer Institute, Mount Sinai Icahn School of Medicine, New York, NY, 10029, USA
- Department of Neurosurgery, Mount Sinai Icahn School of Medicine, New York, NY, 10029, USA
| | - Steven Brem
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Glioblastoma Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kimmo J Hatanpaa
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Mariano S Viapiano
- Department of Neuroscience and Physiology, State University of New York, Upstate Medical University, Syracuse, NY, 13210, USA
- Department of Neurosurgery, State University of New York, Upstate Medical University, Syracuse, NY, 13210, USA
| | - Balagopal Pai
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Annenberg Building, 15.238, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Melissa Umphlett
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Annenberg Building, 15.238, New York, NY, 10029, USA
| | - Oren J Becher
- Department of Oncological Sciences, The Tisch Cancer Institute, Mount Sinai Icahn School of Medicine, New York, NY, 10029, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Matija Snuderl
- Department of Pathology, New York University Langone Health, New York, NY, 10016, USA
| | - Samuel K McBrayer
- Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
- Children's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Kalil G Abdullah
- Department of Neurosurgery, University of Pittsburgh School of Medicine, 200 Lothrop St, Pittsburgh, PA, 15213, USA
- Hillman Comprehensive Cancer Center, University of Pittsburgh Medical Center, 5115 Centre Ave, Pittsburgh, PA, 15232, USA
| | - Nadejda M Tsankova
- Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, Annenberg Building, 15.238, New York, NY, 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
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Fang CS, Wang W, Schroff C, Movahed-Ezazi M, Vasudevaraja V, Serrano J, Sulman EP, Golfinos JG, Orringer D, Galbraith K, Feng Y, Snuderl M. Racial distribution of molecularly classified brain tumors. Neurooncol Adv 2024; 6:vdae135. [PMID: 39220243 PMCID: PMC11362849 DOI: 10.1093/noajnl/vdae135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024] Open
Abstract
Background In many cancers, specific subtypes are more prevalent in specific racial backgrounds. However, little is known about the racial distribution of specific molecular types of brain tumors. Public data repositories lack data on many brain tumor subtypes as well as diagnostic annotation using the current World Health Organization classification. A better understanding of the prevalence of brain tumors in different racial backgrounds may provide insight into tumor predisposition and development, and improve prevention. Methods We retrospectively analyzed the racial distribution of 1709 primary brain tumors classified by their methylation profiles using clinically validated whole genome DNA methylation. Self-reported race was obtained from medical records. Our cohort included 82% White, 10% Black, and 8% Asian patients with 74% of patients reporting their race. Results There was a significant difference in the racial distribution of specific types of brain tumors. Blacks were overrepresented in pituitary adenomas (35%, P < .001), with the largest proportion of FSH/LH subtype. Whites were underrepresented at 47% of all pituitary adenoma patients (P < .001). Glioblastoma (GBM) IDH wild-type showed an enrichment of Whites, at 90% (P < .001), and a significantly smaller percentage of Blacks, at 3% (P < .001). Conclusions Molecularly classified brain tumor groups and subgroups show different distributions among the three main racial backgrounds suggesting the contribution of race to brain tumor development.
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Affiliation(s)
- Camila S Fang
- Department of Pathology NYU Langone Health and NYU Grossman School of Medicine, New York, New York, USA
| | - Wanyi Wang
- Department of Biostatistics, NYU School of Global Public Health, New York, New York, USA
| | - Chanel Schroff
- Department of Pathology NYU Langone Health and NYU Grossman School of Medicine, New York, New York, USA
| | - Misha Movahed-Ezazi
- Department of Pathology NYU Langone Health and NYU Grossman School of Medicine, New York, New York, USA
| | - Varshini Vasudevaraja
- Department of Pathology NYU Langone Health and NYU Grossman School of Medicine, New York, New York, USA
| | - Jonathan Serrano
- Department of Pathology NYU Langone Health and NYU Grossman School of Medicine, New York, New York, USA
| | - Erik P Sulman
- Brain and Spine Tumor Center, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York, USA
- Department of Radiation Oncology, NYU Langone Health and NYU Grossman School of Medicine, New York, New York, USA
| | - John G Golfinos
- Brain and Spine Tumor Center, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York, USA
- Department of Neurosurgery, NYU Langone Health and NYU Grossman School of Medicine, New York, New York, USA
| | - Daniel Orringer
- Department of Neurosurgery, NYU Langone Health and NYU Grossman School of Medicine, New York, New York, USA
| | - Kristyn Galbraith
- Department of Pathology NYU Langone Health and NYU Grossman School of Medicine, New York, New York, USA
| | - Yang Feng
- Department of Biostatistics, NYU School of Global Public Health, New York, New York, USA
| | - Matija Snuderl
- Brain and Spine Tumor Center, Laura and Isaac Perlmutter Cancer Center, NYU Langone Health, New York, New York, USA
- Department of Pathology NYU Langone Health and NYU Grossman School of Medicine, New York, New York, USA
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