New insights into the role of intra-tumor genetic heterogeneity in carcinogenesis: identification of complex single gene variance within tumors

Gottlieb, Bruce; Babrzadeh, Farbod; Oros, Kathleen Klein; Alvarado, Carlos; Wang, Chunlin; Gharizadeh, Baback; Basik, Mark; Greenwood, Celia; Beitel, Lenore K.; Trifiro, Mark

doi:10.20517/2394-4722.2018.26

Cited by 3 publications

(2 citation statements)

References 55 publications

(67 reference statements)

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“…The determination of a karyotype and genomic hybridization at the molecular level affirms the heterogeneity of cancer cells. DNA sequencing of the cells within the same tumor may differ remarkably to define different subpopulations involving clinical diversity (10,11). Moreover, during tumor development and treatment, it is observed that the plasticity of cancer genomes exhibits itself in the cell-to-cell flexibility of DNA sequence, which can be used for large-scale clinical assistance (12).…”

Section: Contextmentioning

confidence: 99%

Role of Transcriptomics in Precision Oncology

Srivastava

2024

Rep Radiother Oncol

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: Transcriptome profiling is one of the most widely used approaches in the field of multiomics research. It plays a crucial role in the prognostic, diagnostic, and predictive treatment of cancer patients. Novel next-generation sequencing (NGS) technologies permit the identification of cancer biomarkers, gene signatures, and their abnormal expression, affecting oncogenic and molecular targets and novel biomarkers for cancer therapies. Multiomics studies have changed the overall understanding of cancer and opened a precise perspective for tumor diagnostics and therapy. The use of these approaches has strengthened our understanding of disease pathophysiology and classifications at the molecular level, including specific interference with drug mechanisms of action. Still, it has limited added value in the clinical setting. The omics data on precision medicine include the application of data from genes, transcripts, and proteins for diagnosis, monitoring of diseases, risk factor determination, counseling, and development of novel therapeutics. Bioinformatics applications have expanded statistics-based analysis toward deriving molecular pathways and process models for characterizing phenotypes and drug action mechanisms. In this review, we will discuss transcriptomics and interference analysis that allows the identification of predictive biomarkers at the molecular level to test drug response and analyze the molecular process interface of disease progression-relevant pathophysiology and mechanism of action to propose predictive biomarkers.

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Section: Contextmentioning

confidence: 99%

Role of Transcriptomics in Precision Oncology

Srivastava

2024

Rep Radiother Oncol

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“…Moreover, molecular studies, as well as karyotyping and genomic hybridization revealed cancer cell heterogeneity. It was discovered that cells within the same tumor may vary so significantly in terms of DNA sequence to the point of defining different subpopulations, implicating clinical heterogeneity [ 29 , 30 ]. Furthermore, plasticity of cancer genomes manifesting itself in cell-to-cell DNA sequence variability (observed during tumor development and induced by treatment), precludes the achievement of large-scale clinical benefits [ 31 ].…”

Section: Omics: Different Levels Of Gene Expressionmentioning

confidence: 99%

Current Achievements and Applications of Transcriptomics in Personalized Cancer Medicine

Supplitt

Karpiński

Sasiadek

et al. 2021

IJMS

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Over the last decades, transcriptome profiling emerged as one of the most powerful approaches in oncology, providing prognostic and predictive utility for cancer management. The development of novel technologies, such as revolutionary next-generation sequencing, enables the identification of cancer biomarkers, gene signatures, and their aberrant expression affecting oncogenesis, as well as the discovery of molecular targets for anticancer therapies. Transcriptomics contribute to a change in the holistic understanding of cancer, from histopathological and organic to molecular classifications, opening a more personalized perspective for tumor diagnostics and therapy. The further advancement on transcriptome profiling may allow standardization and cost reduction of its analysis, which will be the next step for transcriptomics to become a canon of contemporary cancer medicine.

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Why Tumor Genetic Heterogeneity May Require Rethinking Cancer Genesis and Treatment

2021

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New insights into the role of intra-tumor genetic heterogeneity in carcinogenesis: identification of complex single gene variance within tumors

Abstract: New insights into the role of intra-tumor genetic heterogeneity in carcinogenesis: identification of complex single gene variance within tumors.

Cited by 3 publications

References 55 publications

Role of Transcriptomics in Precision Oncology

Role of Transcriptomics in Precision Oncology

Current Achievements and Applications of Transcriptomics in Personalized Cancer Medicine

Why Tumor Genetic Heterogeneity May Require Rethinking Cancer Genesis and Treatment

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