Faecal ribosomal protein L19 is a genetic prognostic factor for survival in colorectal cancer
- PMID: 18266979
- PMCID: PMC4506161
- DOI: 10.1111/j.1582-4934.2008.00253.x
Faecal ribosomal protein L19 is a genetic prognostic factor for survival in colorectal cancer
Abstract
Ribosomal proteins are encoded by a gene family, members of which are overexpressed in human cancers. Many of them have been found, using oligonucleotide microarray hybridization, to be differentially expressed in the faeces of patients with various stages of colorectal cancer (CRC). The gene encoding ribosomal protein L19 (RPL19), a prognostic marker for human prostate cancer, is differentially expressed in CRC patients. Measurement of faecal RPL19 mRNA might improve prognostic prediction for CRC patients. Using quantitative real-time reverse transcription PCR, levels of RPL19 mRNA were detected in samples of colonic tissues from 44 CRC patients, in the faeces of 54 CRC patients and 15 controls, and in 11 colonic cell lines. Seven of 24 patients with late-stage CRC (Dukes' stages C and D) expressed over 2-fold more RPL19 in colonic tumour tissues than in corresponding normal tissues (P= 0.038). The mean faecal RPL19 mRNA levels of late-staged patients were higher than those of controls (P= 0.003) and early-staged patients (P= 0.008). Patients with both high serum levels of carcinoembryonic antigen (CEA; > 5 ng/mL) and high-faecal RPL19 mRNA (> or =0.0069) had higher risk (odds ratio, 8.0; P= 0.015) and lower overall 48-month survival (33.8 +/- 13.7%, P= 0.013). Oligonucleotide microarray hybridization analysis of faecal molecules identified gene transcripts differentially present in faeces. In conclusion, faecal RPL19 expression is associated with advanced tumour stages and addictive to serum CEA in predicting prognosis of CRC patients.
Figures
References
-
- Baak JP, Path FR, Hermsen MA, Meijer G, Schmidt J, Janssen EA. Genomics and proteomics in cancer. Eur J Cancer. 2003;39:1199–215. - PubMed
-
- Chin KV, Alabanza L, Fujii K, Kudoh K, Kita T, Kikuchi Y, Selvanayagam ZE, Wong YF, Lin Y, Shih WC. Application of expression genomics for predicting treatment response in cancer. Ann N Y Acad Sci. 2005;1058:186–95. - PubMed
-
- Cowell JK, Hawthorn L. The application of microarray technology to the analysis of the cancer genome. Curr Mol Med. 2007;7:103–20. - PubMed
-
- Fenech M. Biomarkers of genetic damage for cancer epidemiology. Toxicology. 2002;181-182:411–6. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
