Literature DB >> 18556775

Development of a clinically feasible molecular assay to predict recurrence of stage II colon cancer.

Yuqiu Jiang1, Graham Casey, Ian C Lavery, Yi Zhang, Dmitri Talantov, Michelle Martin-McGreevy, Marek Skacel, Elena Manilich, Abhijit Mazumder, David Atkins, Conor P Delaney, Yixin Wang.   

Abstract

The 5-year survival rate for patients with Stage II colon cancer is approximately 75%. However, there is no clinical test available to identify the 25% of patients at high risk of recurrence. We have previously identified a 23-gene signature that predicts individual risk for recurrence. The present study tested this gene signature in an independent group of 123 Stage II patients, and the 23-gene signature was highly informative in identifying patients with distant recurrence in both univariate (hazard ratio [HR] 2.51) and multivariate analyses (HR, 2.40). The composition of this representative patient group also allowed us to refine the 23-gene signature to a 7-gene signature that exhibited a similar prognostic power in both univariate (HR, 2.77) and multivariate analyses (HR, 2.87). Furthermore, we developed this prognostic signature into a clinically feasible test with real-time quantitative PCR using standard fixed paraffin-embedded tumor tissues. When a 110-patient cohort was evaluated with the PCR assay, the 7-gene signature, demonstrated to be a strong prognostic factor in both univariate (HR, 6.89) and multivariate analyses (HR, 14.2). These results clearly show the prognostic value of the predefined gene signature for Stage II colon cancer patients. The ability to identify colon cancer patients with an unfavorable outcome may help patients at high risk for recurrence to seek more aggressive therapy.

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Year:  2008        PMID: 18556775      PMCID: PMC2438204          DOI: 10.2353/jmoldx.2008.080011

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  36 in total

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Review 2.  Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification.

Authors:  Richard Simon; Michael D Radmacher; Kevin Dobbin; Lisa M McShane
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3.  Counting alleles to predict recurrence of early-stage colorectal cancers.

Authors:  Wei Zhou; Steven N Goodman; Gennaro Galizia; Eva Lieto; Francesca Ferraraccio; Carlo Pignatelli; Colin A Purdie; Juan Piris; Robert Morris; David J Harrison; Philip B Paty; Al Culliford; Katharine E Romans; Elizabeth A Montgomery; Michael A Choti; Kenneth W Kinzler; Bert Vogelstein
Journal:  Lancet       Date:  2002-01-19       Impact factor: 79.321

4.  Comparative detection of lymph node micrometastases of stage II colorectal cancer by reverse transcriptase polymerase chain reaction and immunohistochemistry.

Authors:  Shingo Noura; Hirofumi Yamamoto; Tadashi Ohnishi; Norikazu Masuda; Takashi Matsumoto; Osamu Takayama; Hiroki Fukunaga; Yasuhiro Miyake; Masakazu Ikenaga; Masataka Ikeda; Mitsugu Sekimoto; Nariaki Matsuura; Morito Monden
Journal:  J Clin Oncol       Date:  2002-10-15       Impact factor: 44.544

5.  Gene expression profiles and molecular markers to predict recurrence of Dukes' B colon cancer.

Authors:  Yixin Wang; Tim Jatkoe; Yi Zhang; Matthew G Mutch; Dmitri Talantov; John Jiang; Howard L McLeod; David Atkins
Journal:  J Clin Oncol       Date:  2004-03-29       Impact factor: 44.544

6.  The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma.

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Journal:  N Engl J Med       Date:  2002-06-20       Impact factor: 91.245

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

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8.  Detection of hepatitis C virus RNA sequences by polymerase chain reaction in fixed liver tissue.

Authors:  G Akyol; S Dash; Y S Shieh; J S Malter; M A Gerber
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9.  Prospective multicenter study of the impact of the 21-gene recurrence score assay on medical oncologist and patient adjuvant breast cancer treatment selection.

Authors:  Shelly S Lo; Patricia B Mumby; John Norton; Karen Rychlik; Jeffrey Smerage; Joseph Kash; Helen K Chew; Ellen R Gaynor; Daniel F Hayes; Andrew Epstein; Kathy S Albain
Journal:  J Clin Oncol       Date:  2010-01-11       Impact factor: 44.544

10.  Gene-expression profiles predict survival of patients with lung adenocarcinoma.

Authors:  David G Beer; Sharon L R Kardia; Chiang-Ching Huang; Thomas J Giordano; Albert M Levin; David E Misek; Lin Lin; Guoan Chen; Tarek G Gharib; Dafydd G Thomas; Michelle L Lizyness; Rork Kuick; Satoru Hayasaka; Jeremy M G Taylor; Mark D Iannettoni; Mark B Orringer; Samir Hanash
Journal:  Nat Med       Date:  2002-07-15       Impact factor: 53.440

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  18 in total

1.  Genomic classifier ColoPrint predicts recurrence in stage II colorectal cancer patients more accurately than clinical factors.

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Journal:  Oncologist       Date:  2015-01-05

2.  Mutant-Allele Tumor Heterogeneity Scores Correlate With Risk of Metastases in Colon Cancer.

Authors:  Ashwani Rajput; Thèrése Bocklage; Alissa Greenbaum; Ji-Hyun Lee; Scott A Ness
Journal:  Clin Colorectal Cancer       Date:  2016-11-23       Impact factor: 4.481

Review 3.  Prognostic and predictive markers in stage II colon cancer: is there a role for gene expression profiling?

Authors:  Robin K Kelley; Alan P Venook
Journal:  Clin Colorectal Cancer       Date:  2011-04-22       Impact factor: 4.481

Review 4.  Next generation sequencing and a new era of medicine.

Authors:  Graham Casey; David Conti; Robert Haile; David Duggan
Journal:  Gut       Date:  2012-05-01       Impact factor: 23.059

5.  Defective mismatch repair as a predictive marker for lack of efficacy of fluorouracil-based adjuvant therapy in colon cancer.

Authors:  Daniel J Sargent; Silvia Marsoni; Genevieve Monges; Stephen N Thibodeau; Roberto Labianca; Stanley R Hamilton; Amy J French; Brian Kabat; Nathan R Foster; Valter Torri; Christine Ribic; Axel Grothey; Malcolm Moore; Alberto Zaniboni; Jean-Francois Seitz; Frank Sinicrope; Steven Gallinger
Journal:  J Clin Oncol       Date:  2010-05-24       Impact factor: 44.544

6.  Analysis of post-operative changes in serum protein expression profiles from colorectal cancer patients by MALDI-TOF mass spectrometry: a pilot methodological study.

Authors:  Christopher C L Liao; Anuja Mehta; Nicholas J Ward; Simon Marsh; Tan Arulampalam; John D Norton
Journal:  World J Surg Oncol       Date:  2010-04-26       Impact factor: 2.754

Review 7.  Recent approaches to identifying biomarkers for high-risk stage II colon cancer.

Authors:  Takashi Akiyoshi; Takashi Kobunai; Toshiaki Watanabe
Journal:  Surg Today       Date:  2012-09-09       Impact factor: 2.549

Review 8.  Genetic prognostic and predictive markers in colorectal cancer.

Authors:  Axel Walther; Elaine Johnstone; Charles Swanton; Rachel Midgley; Ian Tomlinson; David Kerr
Journal:  Nat Rev Cancer       Date:  2009-06-18       Impact factor: 60.716

9.  A Composite Gene Expression Signature Optimizes Prediction of Colorectal Cancer Metastasis and Outcome.

Authors:  Michael J Schell; Mingli Yang; Edoardo Missiaglia; Mauro Delorenzi; Charlotte Soneson; Binglin Yue; Michael V Nebozhyn; Andrey Loboda; Gregory Bloom; Timothy J Yeatman
Journal:  Clin Cancer Res       Date:  2015-10-07       Impact factor: 12.531

Review 10.  Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.

Authors:  Rebeca Sanz-Pamplona; Antoni Berenguer; David Cordero; Samantha Riccadonna; Xavier Solé; Marta Crous-Bou; Elisabet Guinó; Xavier Sanjuan; Sebastiano Biondo; Antonio Soriano; Giuseppe Jurman; Gabriel Capella; Cesare Furlanello; Victor Moreno
Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

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