View clinical trials related to Radiosensitivity.
Filter by:Radiotherapy is one of the main treatments for malignant tumors, and according to authoritative estimates, about 70% of patients with malignant tumors should receive radiotherapy. However, radiation resistance limits its application and clinical curative effect. To find suitable radiation resistance markers and identify patients with radiation resistance, early part of the patients with appropriate radiotherapy sensitization agent or choose other more efficient and low toxicity of treatment, for improving the prognosis of patients, improve the quality of survival is of great significance, it is also the difficult point in the present study. However, there are no effective biomarkers to predict radiosensitivity. Through our previous basic research and analysis of clinical tumor tissues, we have found that the low expression of copper metabolism domain protein 10 (COMMD10) is associated with radioresistance, and COMMD10 is an effective marker for predicting radiosensitivity. We planned to conduct a single-center, prospective cohort study to verify the reliability of COMMD10 as a predictive marker for radiosensitivity in pan-cancer patients.
Despite the common application of radiotherapy in cancer treatment, the prediction of radiosensitivity and treatment response has not yet entered the era of precision medicine. Therefore, development of genome-based methods for predicting radiosensitivity and treatment response is a central goal of radiation oncology. In the previous study, the investigators have identified a set of novel potential biomarkers associated with radiosensitivity and recurrence，through correlating patients' genomic profiles with toxicity, disease progression and overall survival after RT.
Warburg effect is an important feature of tumors,and genetic variation is one of the main factors of individual differences to radiotherapy treatment response for nasopharyngeal carcinoma(NPC). Through the previous work investigators found that the p53 codon72 (Pro/Arg) was related to the prognosis of NPC; Using the method of proteomics, investigators discovered glycolysis related gene such as PGK1, ALDOA，was associated with radiosensitivity.Thus,with all the previous work,investigators hypothesize that the key gene polymorphisms in glycolytic pathway, such as p53 , influence the glycolytic pathway,which leads to differences in radiosensitivity of NPC. This projects will include 600 cases of patients with NPC to detect common glycolytic key genes polymorphisms. Besides,investigators correlate these factors with their radiosensitivity and prognosis.Then, prediction model will be established, and validation of the prediction model will be done. Using enzyme-labeling instrument ，comet assay and clonogenic assay，cytological experiments will further investigate the influence of key gene polymorphisms on the glycolysis efficiency and mechanism of radiation sensitivity.Thus,investigators could provide theoretical basis of individualized treatment for NPC.