Literature DB >> 19306088

Evaluation of malignancy-risk gene signature in breast cancer patients.

Dung-Tsa Chen1, Aejaz Nasir, Chinnambally Venkataramu, William Fulp, Mike Gruidl, Timothy Yeatman.   

Abstract

We recently developed a malignancy-risk gene signature that was shown to identify histologically-normal tissues with a cancer-like profile. Because the signature was rich with proliferative genes, we postulated it might also be prognostic for existing breast cancers. We evaluated the malignancy risk gene signature to see its clinical association with cancer relapse/progression, and cancer prognosis using six independent external datasets. Six independent external breast cancer datasets were collected and analyzed using the malignancy risk gene signature designed to assess normal breast tissues. Evaluation of the signature in external datasets suggested a strong clinical association with cancer relapse/progression, and prognosis with minimal overlap of signature gene sets. These results suggest a prognostic role for the malignancy risk gene signature in the assessment of existing cancer. Proliferative biology dominates not only the earliest stages of tumor development but also later stages of tumor progression and metastasis.

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Year:  2009        PMID: 19306088      PMCID: PMC2808422          DOI: 10.1007/s10549-009-0357-6

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  8 in total

1.  Gene expression profiles of human breast cancer progression.

Authors:  Xiao-Jun Ma; Ranelle Salunga; J Todd Tuggle; Justin Gaudet; Edward Enright; Philip McQuary; Terry Payette; Maria Pistone; Kimberly Stecker; Brian M Zhang; Yi-Xiong Zhou; Heike Varnholt; Barbara Smith; Michelle Gadd; Erica Chatfield; Jessica Kessler; Thomas M Baer; Mark G Erlander; Dennis C Sgroi
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-24       Impact factor: 11.205

2.  Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer.

Authors:  Yixin Wang; Jan G M Klijn; Yi Zhang; Anieta M Sieuwerts; Maxime P Look; Fei Yang; Dmitri Talantov; Mieke Timmermans; Marion E Meijer-van Gelder; Jack Yu; Tim Jatkoe; Els M J J Berns; David Atkins; John A Foekens
Journal:  Lancet       Date:  2005 Feb 19-25       Impact factor: 79.321

3.  A gene expression signature that can predict the recurrence of tamoxifen-treated primary breast cancer.

Authors:  Maïa Chanrion; Vincent Negre; Hélène Fontaine; Nicolas Salvetat; Frédéric Bibeau; Gaëtan Mac Grogan; Louis Mauriac; Dionyssios Katsaros; Franck Molina; Charles Theillet; Jean-Marie Darbon
Journal:  Clin Cancer Res       Date:  2008-03-15       Impact factor: 12.531

4.  Gene expression predictors of breast cancer outcomes.

Authors:  Erich Huang; Skye H Cheng; Holly Dressman; Jennifer Pittman; Mei Hua Tsou; Cheng Fang Horng; Andrea Bild; Edwin S Iversen; Ming Liao; Chii Ming Chen; Mike West; Joseph R Nevins; Andrew T Huang
Journal:  Lancet       Date:  2003-05-10       Impact factor: 79.321

5.  A gene-expression signature as a predictor of survival in breast cancer.

Authors:  Marc J van de Vijver; Yudong D He; Laura J van't Veer; Hongyue Dai; Augustinus A M Hart; Dorien W Voskuil; George J Schreiber; Johannes L Peterse; Chris Roberts; Matthew J Marton; Mark Parrish; Douwe Atsma; Anke Witteveen; Annuska Glas; Leonie Delahaye; Tony van der Velde; Harry Bartelink; Sjoerd Rodenhuis; Emiel T Rutgers; Stephen H Friend; René Bernards
Journal:  N Engl J Med       Date:  2002-12-19       Impact factor: 91.245

6.  Proliferative genes dominate malignancy-risk gene signature in histologically-normal breast tissue.

Authors:  Dung-Tsa Chen; Aejaz Nasir; Aedin Culhane; Chinnambally Venkataramu; William Fulp; Renee Rubio; Tao Wang; Deepak Agrawal; Susan M McCarthy; Mike Gruidl; Gregory Bloom; Tove Anderson; Joe White; John Quackenbush; Timothy Yeatman
Journal:  Breast Cancer Res Treat       Date:  2009-03-06       Impact factor: 4.872

7.  Novel markers for differentiation of lobular and ductal invasive breast carcinomas by laser microdissection and microarray analysis.

Authors:  Gulisa Turashvili; Jan Bouchal; Karl Baumforth; Wenbin Wei; Marta Dziechciarkova; Jiri Ehrmann; Jiri Klein; Eduard Fridman; Jozef Skarda; Josef Srovnal; Marian Hajduch; Paul Murray; Zdenek Kolar
Journal:  BMC Cancer       Date:  2007-03-27       Impact factor: 4.430

8.  Semi-supervised methods to predict patient survival from gene expression data.

Authors:  Eric Bair; Robert Tibshirani
Journal:  PLoS Biol       Date:  2004-04-13       Impact factor: 8.029

  8 in total
  6 in total

1.  Prognostic and predictive value of a malignancy-risk gene signature in early-stage non-small cell lung cancer.

Authors:  Dung-Tsa Chen; Ying-Lin Hsu; William J Fulp; Domenico Coppola; Eric B Haura; Timothy J Yeatman; W Douglas Cress
Journal:  J Natl Cancer Inst       Date:  2011-12-08       Impact factor: 13.506

2.  Gene expression abnormalities in histologically normal breast epithelium from patients with luminal type of breast cancer.

Authors:  Pavol Zubor; Jozef Hatok; Petra Moricova; Karol Kajo; Ivana Kapustova; Andrea Mendelova; Peter Racay; Jan Danko
Journal:  Mol Biol Rep       Date:  2014-11-19       Impact factor: 2.316

3.  Development of Malignancy-Risk Gene Signature Assay for Predicting Breast Cancer Risk.

Authors:  James Sun; Dung-Tsa Chen; Jiannong Li; Weihong Sun; Sean J Yoder; Tania E Mesa; Marek Wloch; Richard Roetzheim; Christine Laronga; M Catherine Lee
Journal:  J Surg Res       Date:  2019-08-13       Impact factor: 2.192

4.  Lung tumor NF-κB signaling promotes T cell-mediated immune surveillance.

Authors:  Emily L Hopewell; Weipeng Zhao; William J Fulp; Crystina C Bronk; Alexis S Lopez; Michael Massengill; Scott Antonia; Esteban Celis; Eric B Haura; Steven A Enkemann; Dung-Tsa Chen; Amer A Beg
Journal:  J Clin Invest       Date:  2013-05-01       Impact factor: 14.808

5.  Gene expression in extratumoral microenvironment predicts clinical outcome in breast cancer patients.

Authors:  Erick Román-Pérez; Patricia Casbas-Hernández; Jason R Pirone; Jessica Rein; Lisa A Carey; Ronald A Lubet; Sendurai A Mani; Keith D Amos; Melissa A Troester
Journal:  Breast Cancer Res       Date:  2012-03-19       Impact factor: 6.466

6.  High levels of γ-glutamyl hydrolase (GGH) are associated with poor prognosis and unfavorable clinical outcomes in invasive breast cancer.

Authors:  Emman Shubbar; Khalil Helou; Anikó Kovács; Szilárd Nemes; Shahin Hajizadeh; Charlotta Enerbäck; Zakaria Einbeigi
Journal:  BMC Cancer       Date:  2013-02-01       Impact factor: 4.430

  6 in total

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