Literature DB >> 27542004

Next generation sequencing in cancer: opportunities and challenges for precision cancer medicine.

Carmela Paolillo1, Eric Londin2, Paolo Fortina1.   

Abstract

Over the past decade, testing the genes of patients and their specific cancer types has become standardized practice in medical oncology since somatic mutations, changes in gene expression and epigenetic modifications are all hallmarks of cancer. However, while cancer genetic assessment has been limited to single biomarkers to guide the use of therapies, improvements in nucleic acid sequencing technologies and implementation of different genome analysis tools have enabled clinicians to detect these genomic alterations and identify functional and disease-associated genomic variants. Next-generation sequencing (NGS) technologies have provided clues about therapeutic targets and genomic markers for novel clinical applications when standard therapy has failed. While Sanger sequencing, an accurate and sensitive approach, allows for the identification of potential novel variants, it is however limited by the single amplicon being interrogated. Similarly, quantitative and qualitative profiling of gene expression changes also represents a challenge for the cancer field. Both RT-PCR and microarrays are efficient approaches, but are limited to the genes present on the array or being assayed. This leaves vast swaths of the transcriptome, including non-coding RNAs and other features, unexplored. With the advent of the ability to collect and analyze genomic sequence data in a timely fashion and at an ever-decreasing cost, many of these limitations have been overcome and are being incorporated into cancer research and diagnostics giving patients and clinicians new hope for targeted and personalized treatment. Below we highlight the various applications of next-generation sequencing in precision cancer medicine.

Entities:  

Keywords:  Cancer genomics; circulating cancer cells; formalin-fixed paraffin-embedded; precision oncology

Mesh:

Substances:

Year:  2016        PMID: 27542004     DOI: 10.1080/00365513.2016.1210331

Source DB:  PubMed          Journal:  Scand J Clin Lab Invest Suppl        ISSN: 0085-591X


  5 in total

Review 1.  Systems Challenges of Hepatic Carcinomas: A Review.

Authors:  Dhatri Madduru; Johny Ijaq; Sujata Dhar; Saumyadip Sarkar; Naresh Poondla; Partha S Das; Silvia Vasquez; Prashanth Suravajhala
Journal:  J Clin Exp Hepatol       Date:  2018-05-17

Review 2.  Somatic Mutations in Prostate Cancer: Closer to Personalized Medicine.

Authors:  M J Alvarez-Cubero; L J Martinez-Gonzalez; I Robles-Fernandez; J Martinez-Herrera; G Garcia-Rodriguez; M Pascual-Geler; J M Cozar; J A Lorente
Journal:  Mol Diagn Ther       Date:  2017-04       Impact factor: 4.074

3.  An Overview of Cancer in the First 315,000 All of Us Participants.

Authors:  Briseis Aschebrook-Kilfoy; Paul Zakin; Andrew Craver; Sameep Shah; Muhammad G Kibriya; Elizabeth Stepniak; Andrea Ramirez; Cheryl Clark; Elizabeth Cohn; Lucila Ohno-Machado; Mine Cicek; Eric Boerwinkle; Sheri D Schully; Stephen Mockrin; Kelly Gebo; Kelsey Mayo; Francis Ratsimbazafy; Alan Sanders; Raj C Shah; Maria Argos; Joyce Ho; Karen Kim; Martha Daviglus; Philip Greenland; Habibul Ahsan
Journal:  PLoS One       Date:  2022-09-01       Impact factor: 3.752

4.  Searching for new biomarkers in ovarian cancer patients: Rationale and design of a retrospective study under the Mermaid III project.

Authors:  Julie L Hentze; Claus Høgdall; Susanne K Kjær; Jan Blaakær; Estrid Høgdall
Journal:  Contemp Clin Trials Commun       Date:  2017-10-13

5.  Identification of key mutations in central nervous diffuse large B-cell lymphoma (DLBCL) by comprehensive analysis between sequencing and TCGA database.

Authors:  Chunhui Zhou; Yong Cui; Haomin Sun; Fan Yang; Hao Zhao; Luokai Huangfu; Jianning Zhang
Journal:  Transl Cancer Res       Date:  2021-06       Impact factor: 1.241

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.