Literature DB >> 26565429

Transcriptomics in cancer diagnostics: developments in technology, clinical research and commercialization.

Monica Sager1,2, Nai Chien Yeat2,3, Stefan Pajaro-Van der Stadt1,2, Charlotte Lin2,3, Qiuyin Ren2,4, Jimmy Lin2.   

Abstract

Transcriptomic technologies are evolving to diagnose cancer earlier and more accurately to provide greater predictive and prognostic utility to oncologists and patients. Digital techniques such as RNA sequencing are replacing still-imaging techniques to provide more detailed analysis of the transcriptome and aberrant expression that causes oncogenesis, while companion diagnostics are developing to determine the likely effectiveness of targeted treatments. This article examines recent advancements in molecular profiling research and technology as applied to cancer diagnosis, clinical applications and predictions for the future of personalized medicine in oncology.

Entities:  

Keywords:  RNA sequencing; Transcriptomics; cancer; companion diagnostics; microarray; molecular diagnostics; personalized medicine; quantitative reverse transcription PCR (RT-qPCR); serial analysis of gene expression (SAGE)

Mesh:

Substances:

Year:  2015        PMID: 26565429     DOI: 10.1586/14737159.2015.1105133

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  12 in total

Review 1.  Integrating RNA sequencing into neuro-oncology practice.

Authors:  David S Rogawski; Nicholas A Vitanza; Angela C Gauthier; Vijay Ramaswamy; Carl Koschmann
Journal:  Transl Res       Date:  2017-07-08       Impact factor: 7.012

2.  Multi-Omics Approach Points to the Importance of Oxylipins Metabolism in Early-Stage Breast Cancer.

Authors:  Dmitry V Chistyakov; Mariia V Guryleva; Elena S Stepanova; Lyubov M Makarenkova; Elena V Ptitsyna; Sergei V Goriainov; Arina I Nikolskaya; Alina A Astakhova; Anna S Klimenko; Olga A Bezborodova; Elena A Rasskazova; Olga G Potanina; Rimma A Abramovich; Elena R Nemtsova; Marina G Sergeeva
Journal:  Cancers (Basel)       Date:  2022-04-18       Impact factor: 6.575

Review 3.  Radiogenomic Analysis of Oncological Data: A Technical Survey.

Authors:  Mariarosaria Incoronato; Marco Aiello; Teresa Infante; Carlo Cavaliere; Anna Maria Grimaldi; Peppino Mirabelli; Serena Monti; Marco Salvatore
Journal:  Int J Mol Sci       Date:  2017-04-12       Impact factor: 5.923

4.  Overcoming Physiological Bottlenecks of Leaf Vitality and Root Development in Cuttings: A Systemic Perspective.

Authors:  Uwe Druege
Journal:  Front Plant Sci       Date:  2020-06-30       Impact factor: 5.753

5.  Simultaneous sequencing of coding and noncoding RNA reveals a human transcriptome dominated by a small number of highly expressed noncoding genes.

Authors:  Vincent Boivin; Gabrielle Deschamps-Francoeur; Sonia Couture; Ryan M Nottingham; Philia Bouchard-Bourelle; Alan M Lambowitz; Michelle S Scott; Sherif Abou-Elela
Journal:  RNA       Date:  2018-04-27       Impact factor: 4.942

6.  Integration of Transcriptomics and Metabolomics Reveals the Antitumor Mechanism Underlying Shikonin in Colon Cancer.

Authors:  Yang Chen; Yun Gao; Xiaojiao Yi; Jinghui Zhang; Zhongjian Chen; Yongjiang Wu
Journal:  Front Pharmacol       Date:  2020-10-22       Impact factor: 5.810

7.  Research status and prospects of biomarkers for nasopharyngeal carcinoma in the era of high‑throughput omics (Review).

Authors:  Shan-Qiang Zhang; Su-Ming Pan; Si-Xian Liang; Yu-Shuai Han; Hai-Bin Chen; Ji-Cheng Li
Journal:  Int J Oncol       Date:  2021-03-02       Impact factor: 5.650

Review 8.  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

Review 9.  Recent Major Transcriptomics and Epitranscriptomics Contributions toward Personalized and Precision Medicine.

Authors:  Ghada Mubarak; Farah R Zahir
Journal:  J Pers Med       Date:  2022-02-01

Review 10.  Potential Clinical Application of Genomics in Multiple Myeloma.

Authors:  Cinnie Yentia Soekojo; Sanjay de Mel; Melissa Ooi; Benedict Yan; Wee Joo Chng
Journal:  Int J Mol Sci       Date:  2018-06-10       Impact factor: 5.923

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