Genetic imbalances with impact on survival in colorectal cancer patients.
OBJECTIVE
To investigate the prognostic significance of chromosomal alterations in colorectal cancer patients. Histopathological tumour classification is still considered to be the gold standard for the characterization of solid tumours. However, it is well known that such established parameters do not satisfactorily predict the clinical outcome in individual cases. Markers that reliably predict survival are needed. These markers should guide the clinical treatment of neoplastic disease.


RESULTS
Chromosomal imbalances in 61 colorectal carcinoma specimens in 37 patients determined by comparative genomic hybridization were correlated with patient survival using custom-made computer software which enabled the assessment of individual chromosomal loci. Kaplan-Meier analysis revealed that over-representations of 2p14-15, 6q23-6q24, 15q22-15q23, 22q11.2 and deletions of 1p36.1-36.2, 4q31.3, 4q35, 8q12-q21, 8p11.2 and 9p22 were significantly associated with shorter disease-specific survival, whereas over-expression of 20q13.3 and deletion of 18q11.2 were significantly associated with longer disease-specific survival in this collection of colorectal cancers. Multivariate Cox proportional hazards regression models consistently identified gains of 2p14-15, 15q22-23, 22q11.2 and losses of 1p36.1-36.2 and 4q35 as independent markers of shorter patient survival carrying greater significance than the classical clinicopathological parameters of nodal status and tumour grade.


CONCLUSIONS
These five markers allow a molecular categorization of patients into high and low clinical risk groups. Thus, the genomic data have refined the histopathological classification highlighting the necessity for a supplementary genetically based stratification of colorectal cancer.
D000230:Adenocarcinoma / Q000235:genetics* / Q000401:mortality / Q000556:secondary; D002869:Chromosome Aberrations; D015179:Colorectal Neoplasms / Q000235:genetics* / Q000401:mortality / Q000473:pathology; D005500:Follow-Up Studies; D005819:Genetic Markers; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007621:Karyotyping; D009693:Nucleic Acid Hybridization / Q000379:methods; D016016:Proportional Hazards Models; D015996:Survival Rate
D005819:Genetic Markers