The revolution of pharmaco-omics: ready to open new avenues in materializing precision medicine?

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Abstract

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The pharmaco-omics revolution has started and, as a wild stream, sooner or later, will expand and dramatically improve drug discovery and individual response to pharmacotherapy. Hopefully, we will all be ready to follow the stream.

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Most cited references 19

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The Need for Multi-Omics Biomarker Signatures in Precision Medicine

Michael Olivier, Reto Asmis, Gregory Hawkins … (2019)

Recent advances in omics technologies have led to unprecedented efforts characterizing the molecular changes that underlie the development and progression of a wide array of complex human diseases, including cancer. As a result, multi-omics analyses—which take advantage of these technologies in genomics, transcriptomics, epigenomics, proteomics, metabolomics, and other omics areas—have been proposed and heralded as the key to advancing precision medicine in the clinic. In the field of precision oncology, genomics approaches, and, more recently, other omics analyses have helped reveal several key mechanisms in cancer development, treatment resistance, and recurrence risk, and several of these findings have been implemented in clinical oncology to help guide treatment decisions. However, truly integrated multi-omics analyses have not been applied widely, preventing further advances in precision medicine. Additional efforts are needed to develop the analytical infrastructure necessary to generate, analyze, and annotate multi-omics data effectively to inform precision medicine-based decision-making.

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Development and applications of single-cell transcriptome analysis.

Fuchou Tang, Kaiqin Lao, M. Azim Surani (2011)

Dissecting the relationship between genotype and phenotype is one of the central goals in developmental biology and medicine. Transcriptome analysis is a powerful strategy to connect genotype to phenotype of a cell. Here we review the history, progress, potential applications and future developments of single-cell transcriptome analysis. In combination with live cell imaging and lineage tracing, it will be possible to decipher the full gene expression network underlying physiological functions of individual cells in embryos and adults, and to study diseases.

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Onco-Multi-OMICS Approach: A New Frontier in Cancer Research

Sajib Chakraborty, Md. Hosen, Musaddeque Ahmed … (2018)

The acquisition of cancer hallmarks requires molecular alterations at multiple levels including genome, epigenome, transcriptome, proteome, and metabolome. In the past decade, numerous attempts have been made to untangle the molecular mechanisms of carcinogenesis involving single OMICS approaches such as scanning the genome for cancer-specific mutations and identifying altered epigenetic-landscapes within cancer cells or by exploring the differential expression of mRNA and protein through transcriptomics and proteomics techniques, respectively. While these single-level OMICS approaches have contributed towards the identification of cancer-specific mutations, epigenetic alterations, and molecular subtyping of tumors based on gene/protein-expression, they lack the resolving-power to establish the casual relationship between molecular signatures and the phenotypic manifestation of cancer hallmarks. In contrast, the multi-OMICS approaches involving the interrogation of the cancer cells/tissues in multiple dimensions have the potential to uncover the intricate molecular mechanism underlying different phenotypic manifestations of cancer hallmarks such as metastasis and angiogenesis. Moreover, multi-OMICS approaches can be used to dissect the cellular response to chemo- or immunotherapy as well as discover molecular candidates with diagnostic/prognostic value. In this review, we focused on the applications of different multi-OMICS approaches in the field of cancer research and discussed how these approaches are shaping the field of personalized oncomedicine. We have highlighted pioneering studies from “The Cancer Genome Atlas (TCGA)” consortium encompassing integrated OMICS analysis of over 11,000 tumors from 33 most prevalent forms of cancer. Accumulation of huge cancer-specific multi-OMICS data in repositories like TCGA provides a unique opportunity for the systems biology approach to tackle the complexity of cancer cells through the unification of experimental data and computational/mathematical models. In future, systems biology based approach is likely to predict the phenotypic changes of cancer cells upon chemo-/immunotherapy treatment. This review is sought to encourage investigators to bring these different approaches together for interrogating cancer at molecular, cellular, and systems levels.

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Author and article information

Contributors

Georgia Ragia: (View ORCID Profile)

Vangelis G Manolopoulos: (View ORCID Profile)

Journal

Title: Pharmacogenomics

Abbreviated Title: Pharmacogenomics

Publisher: Future Medicine Ltd

ISSN (Print): 1462-2416

ISSN (Electronic): 1744-8042

Publication date Created: November 2022

Publication date (Print): November 2022

Volume: 23

Issue: 16

Pages: 869-872

Affiliations

[1 ]Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, 68100, Greece

[2 ]Individualised Medicine & Pharmacological Research Solutions Center (IMPReS), Alexandroupolis, 68100, Greece

[3 ]Clinical Pharmacology Unit, Academic General Hospital of Alexandroupolis, Alexandroupolis, 68100, Greece

Article

DOI: 10.2217/pgs-2022-0145

PubMed ID: 36285650

SO-VID: 74c24740-32a7-4d1a-81b7-b4a8b7c8369c

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The revolution of pharmaco-omics: ready to open new avenues in materializing precision medicine?

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Abstract

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China Tropical Medicine

Most cited references 19

The Need for Multi-Omics Biomarker Signatures in Precision Medicine

Development and applications of single-cell transcriptome analysis.

Onco-Multi-OMICS Approach: A New Frontier in Cancer Research

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Article

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