Literature DB >> 25634208

Evolutionary Action Score of TP53 Identifies High-Risk Mutations Associated with Decreased Survival and Increased Distant Metastases in Head and Neck Cancer.

David M Neskey1, Abdullah A Osman2, Thomas J Ow3, Panagiotis Katsonis4, Thomas McDonald5, Stephanie C Hicks6, Teng-Kuei Hsu4, Curtis R Pickering2, Alexandra Ward2, Ameeta Patel2, John S Yordy7, Heath D Skinner8, Uma Giri9, Daisuke Sano10, Michael D Story11, Beth M Beadle12, Adel K El-Naggar13, Merrill S Kies14, William N William14, Carlos Caulin2, Mitchell Frederick2, Marek Kimmel5, Jeffrey N Myers15, Olivier Lichtarge4.   

Abstract

TP53 is the most frequently altered gene in head and neck squamous cell carcinoma, with mutations occurring in over two-thirds of cases, but the prognostic significance of these mutations remains elusive. In the current study, we evaluated a novel computational approach termed evolutionary action (EAp53) to stratify patients with tumors harboring TP53 mutations as high or low risk, and validated this system in both in vivo and in vitro models. Patients with high-risk TP53 mutations had the poorest survival outcomes and the shortest time to the development of distant metastases. Tumor cells expressing high-risk TP53 mutations were more invasive and tumorigenic and they exhibited a higher incidence of lung metastases. We also documented an association between the presence of high-risk mutations and decreased expression of TP53 target genes, highlighting key cellular pathways that are likely to be dysregulated by this subset of p53 mutations that confer particularly aggressive tumor behavior. Overall, our work validated EAp53 as a novel computational tool that may be useful in clinical prognosis of tumors harboring p53 mutations. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 25634208      PMCID: PMC4383697          DOI: 10.1158/0008-5472.CAN-14-2735

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  31 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  1992-11-15       Impact factor: 11.205

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Authors:  I Mihalek; I Res; O Lichtarge
Journal:  J Mol Biol       Date:  2004-03-05       Impact factor: 5.469

3.  p53 mutation and locoregional treatment failure in head and neck squamous cell carcinoma.

Authors:  W M Koch; J A Brennan; M Zahurak; S N Goodman; W H Westra; D Schwab; G H Yoo; D J Lee; A A Forastiere; D Sidransky
Journal:  J Natl Cancer Inst       Date:  1996-11-06       Impact factor: 13.506

4.  TP53 DNA contact mutations are selectively associated with allelic loss and have a strong clinical impact in head and neck cancer.

Authors:  R Erber; C Conradt; N Homann; C Enders; M Finckh; A Dietz; H Weidauer; F X Bosch
Journal:  Oncogene       Date:  1998-04-02       Impact factor: 9.867

Review 5.  Experimental study of metastases.

Authors:  A S Ketcham; H Wexler; J P Minton
Journal:  JAMA       Date:  1966-10-10       Impact factor: 56.272

6.  An evolutionary trace method defines binding surfaces common to protein families.

Authors:  O Lichtarge; H R Bourne; F E Cohen
Journal:  J Mol Biol       Date:  1996-03-29       Impact factor: 5.469

7.  Global cancer statistics, 2002.

Authors:  D Max Parkin; Freddie Bray; J Ferlay; Paola Pisani
Journal:  CA Cancer J Clin       Date:  2005 Mar-Apr       Impact factor: 508.702

8.  Gain of function mutations in p53.

Authors:  D Dittmer; S Pati; G Zambetti; S Chu; A K Teresky; M Moore; C Finlay; A J Levine
Journal:  Nat Genet       Date:  1993-05       Impact factor: 38.330

9.  Mutant p53 exerts a dominant negative effect by preventing wild-type p53 from binding to the promoter of its target genes.

Authors:  Amy Willis; Eun Joo Jung; Therese Wakefield; Xinbin Chen
Journal:  Oncogene       Date:  2004-03-25       Impact factor: 9.867

10.  Multi-tiered genomic analysis of head and neck cancer ties TP53 mutation to 3p loss.

Authors:  Andrew M Gross; Ryan K Orosco; John P Shen; Ann Marie Egloff; Hannah Carter; Matan Hofree; Michel Choueiri; Charles S Coffey; Scott M Lippman; D Neil Hayes; Ezra E Cohen; Jennifer R Grandis; Quyen T Nguyen; Trey Ideker
Journal:  Nat Genet       Date:  2014-08-03       Impact factor: 38.330

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  73 in total

Review 1.  TP53 Mutations in Head and Neck Squamous Cell Carcinoma and Their Impact on Disease Progression and Treatment Response.

Authors:  Ge Zhou; Zhiyi Liu; Jeffrey N Myers
Journal:  J Cell Biochem       Date:  2016-06-03       Impact factor: 4.429

2.  HUMAN KINASES DISPLAY MUTATIONAL HOTSPOTS AT COGNATE POSITIONS WITHIN CANCER.

Authors:  Jonathan Gallion; Angela D Wilkins; Olivier Lichtarge
Journal:  Pac Symp Biocomput       Date:  2017

3.  Disruption of TP63-miR-27a* Feedback Loop by Mutant TP53 in Head and Neck Cancer.

Authors:  Nikhil S Chari; Cristina Ivan; Xiandong Le; Jinzhong Li; Ainiwaer Mijiti; Ameeta A Patel; Abdullah A Osman; Christine B Peterson; Michelle D Williams; Curtis R Pickering; Carlos Caulin; Jeffrey N Myers; George A Calin; Stephen Y Lai
Journal:  J Natl Cancer Inst       Date:  2020-03-01       Impact factor: 13.506

4.  CDKN2A/p16 Deletion in Head and Neck Cancer Cells Is Associated with CDK2 Activation, Replication Stress, and Vulnerability to CHK1 Inhibition.

Authors:  Mitchell J Frederick; Jeffrey N Myers; Mayur A Gadhikar; Jiexin Zhang; Li Shen; Xiayu Rao; Jing Wang; Mei Zhao; Nene N Kalu; Faye M Johnson; Lauren A Byers; John Heymach; Walter N Hittelman; Durga Udayakumar; Raj K Pandita; Tej K Pandita; Curtis R Pickering; Abena B Redwood; Helen Piwnica-Worms; Katharina Schlacher
Journal:  Cancer Res       Date:  2017-12-11       Impact factor: 12.701

5.  Elucidation of G-protein and β-arrestin functional selectivity at the dopamine D2 receptor.

Authors:  Sean M Peterson; Thomas F Pack; Angela D Wilkins; Nikhil M Urs; Daniel J Urban; Caroline E Bass; Olivier Lichtarge; Marc G Caron
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-11       Impact factor: 11.205

Review 6.  Objective assessment of the evolutionary action equation for the fitness effect of missense mutations across CAGI-blinded contests.

Authors:  Panagiotis Katsonis; Olivier Lichtarge
Journal:  Hum Mutat       Date:  2017-06-21       Impact factor: 4.878

7.  Classification of TP53 mutations and HPV predict survival in advanced larynx cancer.

Authors:  Adam Scheel; Emily Bellile; Jonathan B McHugh; Heather M Walline; Mark E Prince; Susan Urba; Gregory T Wolf; Avraham Eisbruch; Francis Worden; Thomas E Carey; Carol Bradford
Journal:  Laryngoscope       Date:  2016-06-27       Impact factor: 3.325

Review 8.  Targeting the DNA Damage Response in OSCC with TP53 Mutations.

Authors:  A Lindemann; H Takahashi; A A Patel; A A Osman; J N Myers
Journal:  J Dent Res       Date:  2018-02-28       Impact factor: 6.116

9.  High-Risk TP53 Mutations Are Associated with Extranodal Extension in Oral Cavity Squamous Cell Carcinoma.

Authors:  Vlad C Sandulache; Chieko Michikawa; Jeffrey N Myers; Curtis R Pickering; Pranav Kataria; Frederico O Gleber-Netto; Diana Bell; Sanchit Trivedi; Xiayu Rao; Jing Wang; Mei Zhao; Samar Jasser
Journal:  Clin Cancer Res       Date:  2018-01-12       Impact factor: 12.531

10.  Distinct pattern of TP53 mutations in human immunodeficiency virus-related head and neck squamous cell carcinoma.

Authors:  Frederico O Gleber-Netto; Mei Zhao; Sanchit Trivedi; Jiping Wang; Samar Jasser; Christina McDowell; Humam Kadara; Jiexin Zhang; Jing Wang; William N William; J Jack Lee; Minh Ly Nguyen; Sara I Pai; Heather M Walline; Dong M Shin; Robert L Ferris; Thomas E Carey; Jeffrey N Myers; Curtis R Pickering
Journal:  Cancer       Date:  2017-10-20       Impact factor: 6.860

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