Literature DB >> 26494142

Next-generation sequencing and empowering personalised cancer medicine.

Ultan McDermott1.   

Abstract

The announcement earlier this year of the US$1000 genome by Illumina has excited a debate as to when and how genomes will at last transition from the research laboratory to the clinic. Although it is still unclear what the benefit will be to patients, there is sufficient evidence supporting the importance of the genome in driving cancer development, treatment response and drug resistance. Therefore it is reasonable to assume that large-scale stratification of patients using next-generation sequencing technologies will improve patient outcome in at least some common cancer types.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26494142     DOI: 10.1016/j.drudis.2015.10.008

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  9 in total

1.  Integrating precision cancer medicine into healthcare-policy, practice, and research challenges.

Authors:  Gabrielle Bertier; Jian Carrot-Zhang; Vassilis Ragoussis; Yann Joly
Journal:  Genome Med       Date:  2016-10-24       Impact factor: 11.117

2.  High-throughput detection of clinically targetable alterations using next-generation sequencing.

Authors:  Julie A Vendrell; David Grand; Isabelle Rouquette; Valérie Costes; Samira Icher; Janick Selves; Marion Larrieux; Aurore Barbe; Pierre Brousset; Jérôme Solassol
Journal:  Oncotarget       Date:  2017-06-20

3.  Rapid and sensitive detection of UGT1A1 polymorphisms associated with irinotecan toxicity by a novel DNA microarray.

Authors:  Ryouichi Tsunedomi; Shoichi Hazama; Naoko Okayama; Masaaki Oka; Hiroaki Nagano
Journal:  Cancer Sci       Date:  2017-06-05       Impact factor: 6.716

4.  Next-generation sequencing of circulating tumor DNA for detection of gene mutations in lung cancer: implications for precision treatment.

Authors:  Jinhuo Lai; Bin Du; Yao Wang; Riping Wu; Zongyang Yu
Journal:  Onco Targets Ther       Date:  2018-12-14       Impact factor: 4.147

5.  Feasibility and clinical utility of comprehensive genomic profiling of hematological malignancies.

Authors:  Suguru Fukuhara; Yuji Oshikawa-Kumade; Yasunori Kogure; Sumito Shingaki; Hirokazu Kariyazono; Yoshiya Kikukawa; Junji Koya; Yuki Saito; Mariko Tabata; Kota Yoshifuji; Kota Mizuno; Akiko Miyagi-Maeshima; Hiromichi Matsushita; Masanaka Sugiyama; Chitose Ogawa; Yoshihiro Inamoto; Takahiro Fukuda; Masato Sugano; Nobuhiko Yamauchi; Yosuke Minami; Makoto Hirata; Teruhiko Yoshida; Takashi Kohno; Shinji Kohsaka; Hiroyuki Mano; Yuichi Shiraishi; Seishi Ogawa; Koji Izutsu; Keisuke Kataoka
Journal:  Cancer Sci       Date:  2022-06-17       Impact factor: 6.518

6.  Predictive Modelling in Clinical Bioinformatics: Key Concepts for Startups.

Authors:  Ricardo J Pais
Journal:  BioTech (Basel)       Date:  2022-08-17

7.  Sex and BMI Alter the Benefits and Risks of Sulfonylureas and Thiazolidinediones in Type 2 Diabetes: A Framework for Evaluating Stratification Using Routine Clinical and Individual Trial Data.

Authors:  John M Dennis; William E Henley; Michael N Weedon; Mike Lonergan; Lauren R Rodgers; Angus G Jones; William T Hamilton; Naveed Sattar; Salim Janmohamed; Rury R Holman; Ewan R Pearson; Beverley M Shields; Andrew T Hattersley
Journal:  Diabetes Care       Date:  2018-08-02       Impact factor: 19.112

8.  Your DNA, Your Say.

Authors:  Anna Middleton
Journal:  New Bioeth       Date:  2017-04

9.  High content phenotypic screening identifies serotonin receptor modulators with selective activity upon breast cancer cell cycle and cytokine signaling pathways.

Authors:  Scott J Warchal; John C Dawson; Emelie Shepherd; Alison F Munro; Rebecca E Hughes; Ashraff Makda; Neil O Carragher
Journal:  Bioorg Med Chem       Date:  2019-11-09       Impact factor: 3.641

  9 in total

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