Literature DB >> 20706727

Integration of genetic signature and TNM staging system for predicting the relapse of locally advanced colorectal cancer.

Junjie Peng1, Zhimin Wang, Wei Chen, Yin Ding, Haifeng Wang, Hongjie Huang, Wei Huang, Sanjun Cai.   

Abstract

PURPOSE: To identify potential genetic markers in treated stage II-III colorectal cancer patients and predict 3-year tumor relapse using statistical models based on important clinical factors and significant genetic markers.
METHODS: Gene expression profiling by cDNA-mediated Annealing, Selection, extension and Ligation assay was performed in a prospectively collected 95 stage II-III colorectal cancer patients with Fluorouracil-based adjuvant chemotherapy. We studied the gene expression level of 502 genes for patients with different outcomes. The prognostic effect of genetic signature was evaluated in multivariate analysis. We further integrated the genetic signature to clinical Classification of Malignant Tumors (TNM) staging system for predicting of 3-year tumor relapse.
RESULTS: An 8-gene signature was identified to well discriminate patients with different treatment outcomes. An integrated risk factor, which including 8-gene signature and TNM staging has been developed. ROC curve revealed that our integrated risk factor was better than genetic signature or current sixth edition TNM staging system alone.
CONCLUSIONS: Our 8-gene signature was promising in predicting 3-year disease-free survival rate for locally advanced colorectal cancer. The integrated risk factor, which combining genetic signature with clinical TNM staging system may further improve the outcome prediction.

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Mesh:

Year:  2010        PMID: 20706727     DOI: 10.1007/s00384-010-1043-1

Source DB:  PubMed          Journal:  Int J Colorectal Dis        ISSN: 0179-1958            Impact factor:   2.571


  35 in total

1.  A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.

Authors:  B M Bolstad; R A Irizarry; M Astrand; T P Speed
Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

2.  A versatile assay for high-throughput gene expression profiling on universal array matrices.

Authors:  Jian-Bing Fan; Joanne M Yeakley; Marina Bibikova; Eugene Chudin; Eliza Wickham; Jing Chen; Dennis Doucet; Philippe Rigault; Baohong Zhang; Richard Shen; Celeste McBride; Hai-Ri Li; Xiang-Dong Fu; Arnold Oliphant; David L Barker; Mark S Chee
Journal:  Genome Res       Date:  2004-05       Impact factor: 9.043

3.  TRAF4 overexpression is a common characteristic of human carcinomas.

Authors:  S Camilleri-Broët; I Cremer; B Marmey; E Comperat; F Viguié; J Audouin; M-C Rio; W-H Fridman; C Sautès-Fridman; C H Régnier
Journal:  Oncogene       Date:  2006-06-26       Impact factor: 9.867

4.  A genomic approach to colon cancer risk stratification yields biologic insights into therapeutic opportunities.

Authors:  Katherine S Garman; Chaitanya R Acharya; Elena Edelman; Marian Grade; Jochen Gaedcke; Shivani Sud; William Barry; Anna Mae Diehl; Dawn Provenzale; Geoffrey S Ginsburg; B Michael Ghadimi; Thomas Ried; Joseph R Nevins; Sayan Mukherjee; David Hsu; Anil Potti
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-02       Impact factor: 11.205

5.  ER alpha-AHR-ARNT protein-protein interactions mediate estradiol-dependent transrepression of dioxin-inducible gene transcription.

Authors:  Timothy V Beischlag; Gary H Perdew
Journal:  J Biol Chem       Date:  2005-04-18       Impact factor: 5.157

6.  BRCA1 modulates xenobiotic stress-inducible gene expression by interacting with ARNT in human breast cancer cells.

Authors:  Hyo Jin Kang; Hee Jeong Kim; Sang Keun Kim; Robert Barouki; Chi-Heum Cho; Kum Kum Khanna; Eliot M Rosen; Insoo Bae
Journal:  J Biol Chem       Date:  2006-03-27       Impact factor: 5.157

Review 7.  The potential role of gene expression in the management of primary and metastatic colorectal cancer.

Authors:  Michael D Alvarado; Eric H Jensen; Timothy J Yeatman
Journal:  Cancer Control       Date:  2006-01       Impact factor: 3.302

8.  Molecular staging for survival prediction of colorectal cancer patients.

Authors:  Steven Eschrich; Ivana Yang; Greg Bloom; Ka Yin Kwong; David Boulware; Alan Cantor; Domenico Coppola; Mogens Kruhøffer; Lauri Aaltonen; Torben F Orntoft; John Quackenbush; Timothy J Yeatman
Journal:  J Clin Oncol       Date:  2005-05-20       Impact factor: 44.544

9.  Stage II colon cancer prognosis prediction by tumor gene expression profiling.

Authors:  Alain Barrier; Pierre-Yves Boelle; François Roser; Jennifer Gregg; Chantal Tse; Didier Brault; François Lacaine; Sidney Houry; Michel Huguier; Brigitte Franc; Antoine Flahault; Antoinette Lemoine; Sandrine Dudoit
Journal:  J Clin Oncol       Date:  2006-09-11       Impact factor: 44.544

Review 10.  The staging of colorectal cancer: 2004 and beyond.

Authors:  Carolyn C Compton; Frederick L Greene
Journal:  CA Cancer J Clin       Date:  2004 Nov-Dec       Impact factor: 508.702

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  5 in total

1.  Molecular profiles and clinical outcome of stage UICC II colon cancer patients.

Authors:  Jörn Gröne; Dido Lenze; Vindi Jurinovic; Manuela Hummel; Henrik Seidel; Gabriele Leder; Georg Beckmann; Anette Sommer; Robert Grützmann; Christian Pilarsky; Ulrich Mansmann; Heinz-Johannes Buhr; Harald Stein; Michael Hummel
Journal:  Int J Colorectal Dis       Date:  2011-04-05       Impact factor: 2.571

Review 2.  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

3.  Risk factors and risk prediction models for colorectal cancer metastasis and recurrence: an umbrella review of systematic reviews and meta-analyses of observational studies.

Authors:  Wei Xu; Yazhou He; Yuming Wang; Xue Li; Jane Young; John P A Ioannidis; Malcolm G Dunlop; Evropi Theodoratou
Journal:  BMC Med       Date:  2020-06-26       Impact factor: 8.775

4.  Integrative analysis from multi-centre studies identifies a function-derived personalized multi-gene signature of outcome in colorectal cancer.

Authors:  Jie Sun; Hengqiang Zhao; Shuting Lin; Siqi Bao; Yan Zhang; Jianzhong Su; Meng Zhou
Journal:  J Cell Mol Med       Date:  2019-05-29       Impact factor: 5.310

5.  A Prediction Model for Tumor Recurrence in Stage II-III Colorectal Cancer Patients: From a Machine Learning Model to Genomic Profiling.

Authors:  Po-Chuan Chen; Yu-Min Yeh; Bo-Wen Lin; Ren-Hao Chan; Pei-Fang Su; Yi-Chia Liu; Chung-Ta Lee; Shang-Hung Chen; Peng-Chan Lin
Journal:  Biomedicines       Date:  2022-02-01
  5 in total

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