The presence of lymph nodes metastasis in uterine cervical carcinoma (UCC) influences therapeutic management and patient survival. The gold standard for metastasis detection is histology. However, histology lacks sensitivity for micrometastases detection and is not efficient for immediate diagnoses during surgery. Another alternative, molecular biology-based fast detection using targeted quantitative DNA amplification, is very efficient in breast cancer but its specificity in UCC has to be tested and optimized. Our objective is to constitute a patient bank containing genetic and clinical information. This genetic information will be used to test and improve molecular markers for UCC metastasis. These markers will be validated using comparisons to traditional histological results and evaluated for their capacity to detect lymph nodes micrometastasis. As long term aims, we wish to develop a reliable molecular diagnosis method useful during surgery and to improve our knowledge about the role of micrometastases in the clinical evolution of UCC.