Literature DB >> 21657839

Comprehensive next-generation cancer genome sequencing in the era of targeted therapy and personalized oncology.

Maureen Cronin1, Jeffrey S Ross.   

Abstract

DNA sequence analysis has become a significant laboratory test in oncology, permitting treatment to become increasingly personalized for both solid tumors and hematologic malignancies. Traditional approaches to sequence analysis, including Sanger sequencing, pyrosequencing and allele-specific PCR, are now widely used to guide therapy for patients diagnosed with lung and colorectal cancer as well as for melanoma, sarcomas (e.g., gastrointestinal stromal tumors) and subtypes of leukemia and lymphoma. Traditional sequence analysis has been limited in bandwidth and throughput and as a result, has been focused exclusively on testing the most common aberrations in key genes or fully sequencing single genes. The massively parallel or next-generation sequencing (NGS) approach to DNA analysis holds a number of potential advantages over the traditional methods, including the ability to fully sequence large numbers of genes (hundreds to thousands) in a single test. Furthermore, NGS can simultaneously detect deletions, insertions, copy number alterations, translocations and exome-wide base substitutions (including known hot-spot mutations) in all known cancer-related genes. However, significant challenges, particularly with respect to demands on expertise and infrastructure, will have to be overcome to translate NGS to the bedside of the cancer patient. Extensive computational expertise is required to bring NGS into clinical context, and a deep knowledge of cancer medicine and cancer biology will be required to generate truly useful, so-called 'clinically actionable' reports for clinicians. While NGS is on the cusp of being launched as a clinical test, it may be expected that the near future will continue to bring major advances in the technology that will lower the overall cost, speed up the turnaround time, increase the breadth of genome sequencing, and detect epigenetic markers and other important genomic parameters, while becoming applicable to smaller and smaller specimens, including circulating tumor cells and circulating free DNA in plasma.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21657839     DOI: 10.2217/bmm.11.37

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  25 in total

Review 1.  Tumour molecular profiling for deciding therapy-the French initiative.

Authors:  Frédérique Nowak; Jean-Charles Soria; Fabien Calvo
Journal:  Nat Rev Clin Oncol       Date:  2012-07-10       Impact factor: 66.675

Review 2.  The changing landscape of phase I trials in oncology.

Authors:  Kit Man Wong; Anna Capasso; S Gail Eckhardt
Journal:  Nat Rev Clin Oncol       Date:  2015-11-10       Impact factor: 66.675

Review 3.  Personalized oncology in interventional radiology.

Authors:  Nadine Abi-Jaoudeh; Austin G Duffy; Tim F Greten; Elise C Kohn; Timothy W I Clark; Bradford J Wood
Journal:  J Vasc Interv Radiol       Date:  2013-08       Impact factor: 3.464

4.  COLD-PCR enrichment of rare cancer mutations prior to targeted amplicon resequencing.

Authors:  Coren A Milbury; Mick Correll; John Quackenbush; Renee Rubio; G Mike Makrigiorgos
Journal:  Clin Chem       Date:  2011-12-21       Impact factor: 8.327

Review 5.  Clinical Applications of Next-Generation Sequencing in Cancer Diagnosis.

Authors:  Leila Sabour; Maryam Sabour; Saeid Ghorbian
Journal:  Pathol Oncol Res       Date:  2016-10-08       Impact factor: 3.201

Review 6.  [Molecular pathology of the lungs. New perspectives by next generation sequencing].

Authors:  C Vollbrecht; K König; L Heukamp; R Büttner; M Odenthal
Journal:  Pathologe       Date:  2013-02       Impact factor: 1.011

Review 7.  The role of surgeons in building a personalized medicine program.

Authors:  Genevieve M Boland; Funda Meric-Bernstam
Journal:  J Surg Oncol       Date:  2014-06-25       Impact factor: 3.454

Review 8.  Using drug response data to identify molecular effectors, and molecular "omic" data to identify candidate drugs in cancer.

Authors:  William C Reinhold; Sudhir Varma; Vinodh N Rajapakse; Augustin Luna; Fabricio Garmus Sousa; Kurt W Kohn; Yves G Pommier
Journal:  Hum Genet       Date:  2014-09-12       Impact factor: 4.132

9.  Diagnostic applications of next generation sequencing in immunogenetics and molecular oncology.

Authors:  Barbara Grumbt; Sebastian H Eck; Tanja Hinrichsen; Kaimo Hirv
Journal:  Transfus Med Hemother       Date:  2013-04-26       Impact factor: 3.747

Review 10.  The dawn of active genetics.

Authors:  Valentino M Gantz; Ethan Bier
Journal:  Bioessays       Date:  2015-12-10       Impact factor: 4.345

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.