Literature DB >> 24550747

High-throughput gene expression and mutation profiling: current methods and future perspectives.

Thomas Karn1.   

Abstract

Following the completion of the human genome sequence at the beginning of the new millennium, a series of high-throughput methods have changed cancer research. Using these techniques, global analysis such as expression profiling could be carried out on a genomic scale. In breast cancer they led to the classification of the intrinsic subtypes, and the development of several prognostic and predictive 'genomic tests' for patient stratification. During the last 2 years we have faced a similar dramatic revolution with the introduction of next generation sequencing (NGS). These techniques allow sequencing of the complete human exome or whole genome with a cost reduction in the order of 10,000-100,000 fold. Consequently, the number of known cancer genome sequences exploded with more than 6,000 samples, published between 2011 and 2013. These studies have led to important and surprising discoveries both for basic cancer research and clinical applications. They relate to understanding the development of cancer as well as the heterogeneity of the disease, and how to use this information to guide the development and application of therapies. Although it is foreseeable that the sequencing surveys of neoplasms will soon conclude, their introduction into clinical practice is just beginning.

Entities:  

Keywords:  Breast cancer, molecular subtypes; Cancer genome; Gene expression profiling; Next-generation sequencing; Tumor heterogeneity

Year:  2013        PMID: 24550747      PMCID: PMC3919435          DOI: 10.1159/000357461

Source DB:  PubMed          Journal:  Breast Care (Basel)        ISSN: 1661-3791            Impact factor:   2.860


  59 in total

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Review 2.  Practical implications of gene-expression-based assays for breast oncologists.

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4.  Performance comparison of benchtop high-throughput sequencing platforms.

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5.  Genomics: the breast cancer landscape.

Authors:  Joe Gray; Brian Druker
Journal:  Nature       Date:  2012-06-20       Impact factor: 49.962

Review 6.  Genetic architecture of cancer and other complex diseases: lessons learned and future directions.

Authors:  Lucia A Hindorff; Elizabeth M Gillanders; Teri A Manolio
Journal:  Carcinogenesis       Date:  2011-03-31       Impact factor: 4.944

7.  Utility of prognostic genomic tests in breast cancer practice: The IMPAKT 2012 Working Group Consensus Statement.

Authors:  H A Azim; S Michiels; F Zagouri; S Delaloge; M Filipits; M Namer; P Neven; W F Symmans; A Thompson; F André; S Loi; C Swanton
Journal:  Ann Oncol       Date:  2013-01-20       Impact factor: 32.976

Review 8.  Lessons from the cancer genome.

Authors:  Levi A Garraway; Eric S Lander
Journal:  Cell       Date:  2013-03-28       Impact factor: 41.582

Review 9.  Gene expression profiling in breast cancer: classification, prognostication, and prediction.

Authors:  Jorge S Reis-Filho; Lajos Pusztai
Journal:  Lancet       Date:  2011-11-19       Impact factor: 79.321

10.  The humoral immune system has a key prognostic impact in node-negative breast cancer.

Authors:  Marcus Schmidt; Daniel Böhm; Christian von Törne; Eric Steiner; Alexander Puhl; Henryk Pilch; Hans-Anton Lehr; Jan G Hengstler; Heinz Kölbl; Mathias Gehrmann
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  8 in total

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Journal:  Breast Care (Basel)       Date:  2013-12       Impact factor: 2.860

2.  mRNA and miRNA regulatory networks reflective of multi-walled carbon nanotube-induced lung inflammatory and fibrotic pathologies in mice.

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Journal:  Toxicol Sci       Date:  2014-12-18       Impact factor: 4.849

3.  Acid ceramidase is associated with an improved prognosis in both DCIS and invasive breast cancer.

Authors:  Nicole Sänger; Eugen Ruckhäberle; Balazs Györffy; Knut Engels; Tomas Heinrich; Tanja Fehm; Anna Graf; Uwe Holtrich; Sven Becker; Thomas Karn
Journal:  Mol Oncol       Date:  2014-07-31       Impact factor: 6.603

4.  Molecular Markers as Prognostic Factors in DCIS and Small Invasive Breast Cancers.

Authors:  N Sänger; K Engels; A Graf; E Ruckhäberle; K E Effenberger; T Fehm; U Holtrich; S Becker; T Karn
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Review 5.  Application of next-generation sequencing technology in forensic science.

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6.  Only one health, and so many omics.

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Journal:  Cancer Cell Int       Date:  2015-06-23       Impact factor: 5.722

7.  Expression and functionality of TRPV1 in breast cancer cells.

Authors:  Lea V Weber; Klaudia Al-Refae; Gerhard Wölk; Gabriele Bonatz; Janine Altmüller; Christian Becker; Günter Gisselmann; Hanns Hatt
Journal:  Breast Cancer (Dove Med Press)       Date:  2016-12-13

8.  NOGEA: A Network-oriented Gene Entropy Approach for Dissecting Disease Comorbidity and Drug Repositioning.

Authors:  Zihu Guo; Yingxue Fu; Chao Huang; Chunli Zheng; Ziyin Wu; Xuetong Chen; Shuo Gao; Yaohua Ma; Mohamed Shahen; Yan Li; Pengfei Tu; Jingbo Zhu; Zhenzhong Wang; Wei Xiao; Yonghua Wang
Journal:  Genomics Proteomics Bioinformatics       Date:  2021-03-17       Impact factor: 6.409

  8 in total

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