Molecular profiles and clinical outcome of stage UICC II colon cancer patients
- PMID: 21465190
- DOI: 10.1007/s00384-011-1176-x
Molecular profiles and clinical outcome of stage UICC II colon cancer patients
Abstract
Purpose: Published multigene classifiers suggesting outcome prediction for patients with stage UICC II colon cancer have not been translated into a clinical application so far. Therefore, we aimed at validating own and published gene expression signatures employing methods which enable their reconstruction in routine diagnostic specimens.
Methods: Immunohistochemistry was applied to 68 stage UICC II colon cancers to determine the protein expression of previously published prognostic classifier genes (CDH17, LAT, CA2, EMR3, and TNFRSF11A). RNA from macrodissected tumor samples from 53 of these 68 patients was profiled on Affymetrix GeneChips (HG-U133 Plus 2.0). Prognostic signatures were generated by "nearest shrunken centroids" with cross-validation. Previously published gene signatures were applied to our data set using "global tests" and leave-one-out cross-validation
Results: Correlation of protein expression with clinical outcome failed to separate patients with disease-free follow-up (group DF) and relapse (group R). Although gene expression profiling allowed the identification of differentially expressed genes ("DF" vs. "R"), a stable classification/prognosis signature was not discernable. Furthermore, the application of previously published gene signatures to our data was unable to predict clinical outcome (prediction rate 75.5% and 64.2%; n.s.). T-stage was the only independent prognostic factor for relapse with established clinical and pathological parameters including microsatellite status (multivariate analysis).
Conclusions: Our protein and gene expression analyses do not support application of molecular classifiers for prediction of clinical outcome in current routine diagnostic as a basis for patient-orientated therapy in stage UICC II colon cancer. Further studies are needed to develop prognosis signatures applicable in patient care.
Similar articles
-
Prognostic and predictive value of a microRNA signature in stage II colon cancer: a microRNA expression analysis.Lancet Oncol. 2013 Dec;14(13):1295-306. doi: 10.1016/S1470-2045(13)70491-1. Epub 2013 Nov 13. Lancet Oncol. 2013. PMID: 24239208
-
Hypoxia-driven gene expression is an independent prognostic factor in stage II and III colon cancer patients.Clin Cancer Res. 2014 Apr 15;20(8):2159-68. doi: 10.1158/1078-0432.CCR-13-2958. Epub 2014 Jan 31. Clin Cancer Res. 2014. PMID: 24486594
-
Gene expression profiles in stages II and III colon cancers: application of a 128-gene signature.Int J Colorectal Dis. 2012 Dec;27(12):1579-86. doi: 10.1007/s00384-012-1517-4. Epub 2012 Jun 19. Int J Colorectal Dis. 2012. PMID: 22710688
-
Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.PLoS One. 2012;7(11):e48877. doi: 10.1371/journal.pone.0048877. Epub 2012 Nov 7. PLoS One. 2012. PMID: 23145004 Free PMC article. Review.
-
Prognostic Cancer Gene Expression Signatures: Current Status and Challenges.Cells. 2021 Mar 15;10(3):648. doi: 10.3390/cells10030648. Cells. 2021. PMID: 33804045 Free PMC article. Review.
Cited by
-
Transcriptome and Network Dissection of Microsatellite Stable and Highly Instable Colorectal Cancer.Asian Pac J Cancer Prev. 2019 Aug 1;20(8):2445-2454. doi: 10.31557/APJCP.2019.20.8.2445. Asian Pac J Cancer Prev. 2019. PMID: 31450919 Free PMC article.
-
Immune-related gene signatures predict the outcome of neoadjuvant chemotherapy.Oncoimmunology. 2014 Jan 1;3(1):e27884. doi: 10.4161/onci.27884. Epub 2014 Feb 27. Oncoimmunology. 2014. PMID: 24790795 Free PMC article.
-
Epigenetic inactivation of the novel candidate tumor suppressor gene ITIH5 in colon cancer predicts unfavorable overall survival in the CpG island methylator phenotype.Epigenetics. 2014 Sep;9(9):1290-301. doi: 10.4161/epi.32089. Epub 2014 Aug 4. Epigenetics. 2014. PMID: 25093535 Free PMC article.
-
ZNF326 as a potential prognostic and predictive biomarker in stage II colorectal cancer.J Gastrointest Oncol. 2024 Feb 29;15(1):179-189. doi: 10.21037/jgo-23-908. Epub 2024 Feb 28. J Gastrointest Oncol. 2024. PMID: 38482244 Free PMC article.
-
Microsatellite instability states serve as predictive biomarkers for tumors chemotherapy sensitivity.iScience. 2023 Jun 7;26(7):107045. doi: 10.1016/j.isci.2023.107045. eCollection 2023 Jul 21. iScience. 2023. PMID: 37448561 Free PMC article.
References
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases
Research Materials
Miscellaneous