Literature DB >> 32950605

Transcriptomics and solid tumors: The next frontier in precision cancer medicine.

Apostolia M Tsimberidou1, Elena Fountzilas2, Leonidas Bleris3, Razelle Kurzrock4.   

Abstract

Transcriptomics, which encompasses assessments of alternative splicing and alternative polyadenylation, identification of fusion transcripts, explorations of noncoding RNAs, transcript annotation, and discovery of novel transcripts, is a valuable tool for understanding cancer mechanisms and identifying biomarkers. Recent advances in high-throughput technologies have enabled large-scale gene expression profiling. Importantly, RNA expression profiling of tumor tissue has been successfully used to determine clinically actionable molecular alterations. The WINTHER precision medicine clinical trial was the first prospective trial in diverse solid malignancies that assessed both genomics and transcriptomics to match treatments to specific molecular alterations. The use of transcriptome analysis in WINTHER and other trials increased the number of targetable -omic changes compared to genomic profiling alone. Other applications of transcriptomics involve the evaluation of tumor and circulating noncoding RNAs as predictive and prognostic biomarkers, the improvement of risk stratification by the use of prognostic and predictive multigene assays, the identification of fusion transcripts that drive tumors, and an improved understanding of the impact of DNA changes as some genomic alterations are silenced at the RNA level. Finally, RNA sequencing and gene expression analysis have been incorporated into clinical trials to identify markers predicting response to immunotherapy. Many issues regarding the complexity of the analysis, its reproducibility and variability, and the interpretation of the results still need to be addressed. The integration of transcriptomics with genomics, proteomics, epigenetics, and tumor immune profiling will improve biomarker discovery and our understanding of disease mechanisms and, thereby, accelerate the implementation of precision oncology.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Gene expression; Noncoding RNA; Precision oncology; RNA sequencing; Transcriptomics

Mesh:

Substances:

Year:  2020        PMID: 32950605     DOI: 10.1016/j.semcancer.2020.09.007

Source DB:  PubMed          Journal:  Semin Cancer Biol        ISSN: 1044-579X            Impact factor:   17.012


  8 in total

1.  Identification of Two Exosomal miRNAs in Circulating Blood of Cancer Patients by Using Integrative Transcriptome and Network Analysis.

Authors:  Andrés Rincón-Riveros; Josefa Antonia Rodríguez; Victoria E Villegas; Liliana López-Kleine
Journal:  Noncoding RNA       Date:  2022-05-12

2.  Molecular Profiles of Advanced Urological Cancers in the PERMED-01 Precision Medicine Clinical Trial.

Authors:  Emilien Billon; Gwenaelle Gravis; Arnaud Guille; Nadine Carbuccia; Jose Adelaide; Séverine Garnier; Pascal Finetti; Emilie Denicolaï; Patrick Sfumato; Serge Brunelle; Jeanne Thomassin-Piana; Géraldine Pignot; Jochen Walz; Christian Chabannon; Jihane Pakradouni; Renaud Sabatier; Cécile Vicier; Cornel Popovici; Emilie Mamessier; Anthony Gonçalves; Daniel Birnbaum; Max Chaffanet; François Bertucci
Journal:  Cancers (Basel)       Date:  2022-05-03       Impact factor: 6.575

3.  Prospective high-throughput genome profiling of advanced cancers: results of the PERMED-01 clinical trial.

Authors:  François Bertucci; Anthony Gonçalves; Arnaud Guille; José Adelaïde; Séverine Garnier; Nadine Carbuccia; Emilien Billon; Pascal Finetti; Patrick Sfumato; Audrey Monneur; Christophe Pécheux; Martin Khran; Serge Brunelle; Lenaïg Mescam; Jeanne Thomassin-Piana; Flora Poizat; Emmanuelle Charafe-Jauffret; Olivier Turrini; Eric Lambaudie; Magali Provansal; Jean-Marc Extra; Anne Madroszyk; Marine Gilabert; Renaud Sabatier; Cécile Vicier; Emilie Mamessier; Christian Chabannon; Jihane Pakradouni; Patrice Viens; Fabrice André; Gwenaelle Gravis; Cornel Popovici; Daniel Birnbaum; Max Chaffanet
Journal:  Genome Med       Date:  2021-05-18       Impact factor: 11.117

Review 4.  Machine Learning: A New Prospect in Multi-Omics Data Analysis of Cancer.

Authors:  Babak Arjmand; Shayesteh Kokabi Hamidpour; Akram Tayanloo-Beik; Parisa Goodarzi; Hamid Reza Aghayan; Hossein Adibi; Bagher Larijani
Journal:  Front Genet       Date:  2022-01-27       Impact factor: 4.599

5.  Gene Expression-Based Signature Can Predict Sorafenib Response in Kidney Cancer.

Authors:  Alexander Gudkov; Valery Shirokorad; Kirill Kashintsev; Dmitriy Sokov; Daniil Nikitin; Andrey Anisenko; Nicolas Borisov; Marina Sekacheva; Nurshat Gaifullin; Andrew Garazha; Maria Suntsova; Elena Koroleva; Anton Buzdin; Maksim Sorokin
Journal:  Front Mol Biosci       Date:  2022-03-14

6.  Cancer Stem Cells and Cell Cycle Genes as Independent Predictors of Relapse in Non-small Cell Lung Cancer: Secondary Analysis of a Prospective Study.

Authors:  Valentina Masciale; Federico Banchelli; Giulia Grisendi; Roberto D'Amico; Antonino Maiorana; Alessandro Stefani; Uliano Morandi; Franco Stella; Massimo Dominici; Beatrice Aramini
Journal:  Stem Cells Transl Med       Date:  2022-08-23       Impact factor: 7.655

7.  EGFR and PI3K Pathway Activities Might Guide Drug Repurposing in HPV-Negative Head and Neck Cancers.

Authors:  Andreas Mock; Michaela Plath; Julius Moratin; Maria Johanna Tapken; Dirk Jäger; Jürgen Krauss; Stefan Fröhling; Jochen Hess; Karim Zaoui
Journal:  Front Oncol       Date:  2021-06-11       Impact factor: 6.244

Review 8.  Can Systems Biology Advance Clinical Precision Oncology?

Authors:  Andrea Rocca; Boris N Kholodenko
Journal:  Cancers (Basel)       Date:  2021-12-16       Impact factor: 6.575

  8 in total

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