Gene expression profiling of colon cancer by DNA microarrays and correlation with histoclinical parameters

Archive ouverte

Bertucci, F | Salas, S | Eysteries, S | Nasser, V | Finetti, P | Ginestier, C | Charafe-Jauffret, E | Loriod, Béatrice, B. | Bachelart, L | Montfort, Jérôme | Victorero, G | Viret, F | Ollendorff, V | Fert, V | Giovaninni, M | Delpero, Jr | Nguyen, C | Viens, P | Monges, G | Birnbaum, D | Houlgatte, R

Edité par CCSD ; Nature Publishing Group [1987-....] -

International audience. Different diagnostic and prognostic groups of colorectal carcinoma (CRC) have been defined. However, accurate diagnosis and prediction of survival are sometimes difficult. Gene expression profiling might improve these classifications and bring new insights into underlying molecular mechanisms. We profiled 50 cancerous and noncancerous colon tissues using DNA microarrrays consisting of approximately 8000 spotted human cDNA. Global hierarchical clustering was to some extent able to distinguish clinically relevant subgroups, normal versus cancer tissues and metastatic versus nonmetastatic tumours. Supervised analyses improved these segregations by identifying sets of genes that discriminated between normal and tumour tissues, tumours associated or not with lymph node invasion or genetic instability, and tumours from the right or left colon. A similar approach identified a gene set that divided patients with significantly different 5-year survival (100% in one group and 40% in the other group; P=0.005). Discriminator genes were associated with various cellular processes. An immunohistochemical study on 382 tumour and normal samples deposited onto a tissue microarray subsequently validated the upregulation of NM23 in CRC and a downregulation in poor prognosis tumours. These results suggest that microarrays may provide means to improve the classification of CRC, provide new potential targets against carcinogenesis and new diagnostic and/or prognostic markers and therapeutic targets.

Consulter en ligne

Suggestions

Du même auteur

Gene expression profiling for molecular characterization of inflammatory breast cancer and prediction of response to chemotherapy

Archive ouverte | Bertucci, F | CCSD

International audience. Inflammatory breast cancer (IBC) is a rare but aggressive form of breast cancer with a 5-year survival limited to approximately 40%. Diagnosis, based on clinical and/or pathological criteria,...

Molecular typing of breast cancer: transcriptomics and DNA microarrays

Archive ouverte | Bertucci, F | CCSD

International audience. Breast cancer is the most frequent and deadly cancer of women. Its great heterogeneity makes prognosis and response to current treatments highly variable and difficult to predict. Mammary onc...

Gene expression profiling of breast carcinomas using Nylon DNA arrays. Réseaux d'ADN sur Nylon et profils d'expression génique dans le cancer du sein

Archive ouverte | Bertucci, F | CCSD

International audience. Clinically very heterogeneous, breast cancer prognosis and treatment response are difficult to predict with the current prognostic histoclinical parameters. Mammary oncogenesis remains poorly...

Chargement des enrichissements...