Skip to main content

Levy Library Blog

Article in the Spotlight: May 2018

by Angelyn Thornton on 2018-04-24T11:32:58-04:00 | Comments

Each month the Levy Library showcases the achievements of Mount Sinai faculty and researchers by highlighting an article and its altmetrics. Altmetrics are alternative measures of impact that capture non-traditional data like abstract views, article downloads, and social media activity.

This month we highlight Comprehensive Characterization of Cancer Driver Genes and Mutations, written by a team of researchers including Mount Sinai’s John Martignetti (Genetics and Genomics), Robert Krost (Thoracic Surgery), and Peter Dottino (Obstetrics, Gynecology and Reproductive Services). 

Citation: Cell, 2018 Apr 5;173(2):371-385.e18. doi: 10.1016/j.cell.2018.02.060. Bailey MH, Tokheim C, Porta-Pardo E, Sengupta S, Bertrand D, Weerasinghe A, Colaprico A, Wendl MC, Kim J, Reardon B, Ng PK, Jeong KJ, Cao S, Wang Z, Gao J, Gao Q, Wang F, Liu EM, Mularoni L, Rubio-Perez C, Nagarajan N, Cortés-Ciriano I, Zhou DC, Liang WW, Hess JM, Yellapantula VD, Tamborero D, Gonzalez-Perez A, Suphavilai C, Ko JY, Khurana E, Park PJ, Van Allen EM, Liang H; MC3 Working Group; Cancer Genome Atlas Research Network, Lawrence MS, Godzik A, Lopez-Bigas N, Stuart J, Wheeler D, Getz G, Chen K, Lazar AJ, Mills GB, Karchin R, Ding L.

 

 

Abstract

Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced algorithms to identify drivers now exist, but systematic attempts to combine and optimize them on large datasets are few. We report a PanCancer and PanSoftware analysis spanning 9,423 tumor exomes (comprising all 33 of The Cancer Genome Atlas projects) and using 26 computational tools to catalog driver genes and mutations. We identify 299 driver genes with implications regarding their anatomical sites and cancer/cell types. Sequence- and structure-based analyses identified >3,400 putative missense driver mutations supported by multiple lines of evidence. Experimental validation confirmed 60%-85% of predicted mutations as likely drivers. We found that >300 MSI tumors are associated with high PD-1/PD-L1, and 57% of tumors analyzed harbor putative clinically actionable events. Our study represents the most comprehensive discovery of cancer genes and mutations to date and will serve as a blueprint for future biological and clinical endeavors.

 

See Dr. John Martignetti on PLUMX

See Robert Krost on PLUMX

See Dr. Petter Dottino on PLUMX

 


 Add a Comment

0 comments.

  Subscribe



Enter your e-mail address to receive notifications of new posts by e-mail.

  Archive



  Follow Us



  Facebook
  Twitter
  Instagram
  Back to Blog Home
This post is closed for further discussion.

title
Loading...