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Brief Title: Translational Validation Study to Examine KFO179-1 Biomarker Scores for the Prediction and Prognosis of Advanced Primary Resectable Rectal Cancer Stages UICC-II-IV, With a 5-Fluorouracil-based Standard Radiochemotherapy Followed by Total Mesorectal Excision.
Official Title: Translational Validation Study to Examine KFO179-1 Biomarker Scores for the Prediction and Prognosis of Advanced Primary Resectable Rectal Cancer Stages UICC II-IV, With a 5-FU-based Standard Radiochemotherapy Followed by Total Mesorectal Excision.
Study ID: NCT03034473
Brief Summary: The objective of the TransValid-KFO179/GRCSG-Trial-A is the validation of potential biomarkers. These are predictive (Prediction of probability of response to a certain therapy) / prognostic (predicting long-term outcome) microarray-based gene expression signatures and immunohistochemically evaluated biomarkers. The evaluation was done within the KFO179 (www.kfo179.de) - the validation is implemented in this trial. Therefore tumor material of patients undergoing standard radiochemotherapy will be analyzed from pretreatment biopsies an residual tissue from the resection specimen after surgery. This validation and the biomaterial asservation will be incorporated into clinical routine in all participating centers as a model for the treatment of solid tumors. The obtained biomarkers with a predictive and prognostic power will be used to develop an algorithm to predict patients at high risk of local and distant cancer recurrence.
Detailed Description: The objective of the TransValid-KFO179/GRCSG-Trial-A is to validate the predictive/prognostic microarray-based gene expression signatures and single gene biomarkers (including 5-Fluorouracil (FU) metabolism, apoptosis, Kirsten Rat Sarcoma (KRAS), CpGCpG island methylation phenotype (CIMP) and TGF-beta pathway), which have been established in patients treated with standard 5-FU based RCT in the GRCSG trials (e.g. the CAO/ARO/AIO-94-, CAO/ARO/AIO-04-phase III trials). This validation will be incorporated into clinical routine in all participating centers as a model for the treatment of solid tumors. If the KFO179 biomarkers are predictive at a satisfactory level in the validation set, we will propose a prediction algorithm to stratify the patient population into a "high"-risk and "low"-risk population to develop local and distant cancer recurrence.
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
University Medical Center Goettingen, Gottingen, Lower Saxony, Germany
Name: Torsten Liersch, MD, Prof.
Affiliation: University Medical Center Goettingen
Role: PRINCIPAL_INVESTIGATOR
Name: Michael Ghadimi, MD, Prof.
Affiliation: University Medical Center Goettingen
Role: STUDY_DIRECTOR