To confirm the protein expression level in radiation-induced late effects patients and to determine the performance value, in particular the positive predictive value, of a blood test based on the dosage of a panel of five proteins, it is necessary to validate these preliminary results by a prospective study on a large cohort of patients.
Molecular mechanisms involved in radiation-induced responses are complex, and proteomic approaches can be used to better understand the overall reaction process of ionizing radiation and to identify potential radio-sensitive predictive markers. Until now, few publications have addressed the determination of radiosensitive patients. Based on our previous results and in order to improve the positive predictive value of the radiation induced late effect assay, we developed a quantitative proteomic approach to identify predictive radiobiological markers in patients with severe toxicity. First, four patients were selected with a low RILA value from the prospective studies mentioned above. Two patients had no toxicity at least four years after the end of treatment whereas two others patients developed a severe toxicity greater than grade 2. T-lymphocytes have been isolated from whole blood and half of them have been irradiated in vitro. It will then performed a quantitative proteomics workflow using an 8-plex iTRAQ labeling and after several fractionations to optimize resolution of analysis (off gel fractionation followed by nanoliquid chromatography), proteins were identified by tandem mass spectrometry (4800 plus MALDI TOF/TOF). More than 1300 total proteins were identified with high confidence (95%, one unique peptide). At 0 Gy, 135 proteins were differentially expressed between patients with or without severe radio-induced toxicity. In irradiated T-lymphocytes (8 Gy), 107 proteins were differentially expressed between patients with or without severe radio-induced toxicity. Among them, five proteins (AK2, adenylate kinase 2; IDH2, isocitrate dehydrogenase 2 (NADP+); ANX1, annexin 1; APEX1, DNA-(apurinic or apyrimidinic site) lyase, and HSC70, Heat shock cognate 71 kDa) with the highest protein expression ratio (\>1.5) and that showed no difference expression ratio in 0 Gy controls, were selected for consecutive validation. These proteins are involved in several mechanisms including metabolism and energy production, apoptosis, calcium binding protein, and DNA damages repair. These five proteins are currently the subject of patent application. Then,10 other patients will be recruited (5 patients with grade ≥ 2 breast fibrosis and 5 patients without toxicity) who presented a low RILA value to validate proteins expression by western-blotting. Results showed that all proteins were overexpressed in irradiated T-lymphocytes patients with severe toxicity comparatively to patients without toxicity. However, to confirm the protein expression level in radiation-induced late effects patients and to determine the performance value, in particular the positive predictive value, of a blood test based on the dosage of a panel of five proteins, it is necessary to validate these preliminary results by a prospective study on a large cohort of patients
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
PREVENTION
Masking
NONE
Enrollment
500
Pre-treatment blood samples will be collected for downstream analyses: * Three 6 ml EDTA samples for proteomic and genomic work package * One 6 ml dry sample for auto-antibodies analysis in the immunology work package * Two 4 ml EDTA samples for DNA extraction in the immunology work package * Two 2.5 ml PAX Gene sample for RNA extraction in the immunology work package and the non-irradiated control in the genomic work package
Institut régional du Cancer de Montpellier
Montpellier, France
blood sample to assess dosage of 5 proteins
Confirm the predictive value, of a blood test based on the dosage of a panel of five (5) proteins: AK2 - IDH2 - ANX1- APEX1 - HSC70 in radiation-induced late side effects after breast-conserving surgery and curative intent adjuvant radiotherapy.
Time frame: through study completion, an average of 5 years
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