Cancer predictive studies

Predictive value of nerve conduction studies.

Advantage of predictive modeling in tracer studies.

TO THE EDITOR: Sorensen et al. (1) compare the production rate of triglyceride, as calculated from a bolus injection decay curve, to that obtained from a primed constant infusion curve of the specific activity of radiolabeled tracer. They note a difference in the two rates and choose the constant infusion as the more accurate method. But is it? The bi-exponential model is a predictive model and...

Prognostic and predictive factors in colorectal cancer: Kirsten Ras in CRC (RASCAL) and TP53CRC collaborative studies.

Mutations in the Ki-ras and TP53 genes are the most frequently observed genetic alterations in colorectal cancer (CRC). Ki-ras mutations are mostly found in codons 12 and 13, and less in codon 61. The majority of the TP53 mutations occur in the core domain which contains the sequence-specific DNA binding activity of the protein, and they results in loss of DNA binding. Few centres have sufficie...

Predictive and Prognostic Protein Biomarkers in Epithelial Ovarian Cancer: Recommendation for Future Studies

Epithelial ovarian cancer is the most lethal gynecological malignancy. Due to its lack of symptoms, this disease is diagnosed at an advanced stage when the cancer has already spread to secondary sites. While initial rates of response to first treatment is >80%, the overall survival rate of patients is extremely low, mainly due to development of drug resistance. To date, there are no reliable cl...

Cancer Diagnostic and Predictive Biomarkers

1 Department of Experimental Oncology, Istituto Nazionale Tumori IRCCS Fondazione Pascale, 80131 Napoli, Italy 2 Department of Microbiology and Immunology, Institute of Human Virology, Baltimore, MD 21201, USA 3Department of Research, International Prevention Research Institute, 69006 Lyon, France 4Department of Pathology, Istituto Nazionale Tumori IRCCS Fondazione Pascale, 80131 Napoli, Italy ...