PURPOSE: Osteosarcoma, the most common pediatric primary bone tumor, is an aggressive malignancy with a tendency for early pulmonary metastasis. A reliable biomarker to predict clinical outcome at diagnosis has not yet been identified. To date, pathological review of neoadjuvant chemotherapy-induced necrosis is the most useful determinant of which patients are likely to develop metastatic disease. There is a clinical need to identify patients who will benefit from more aggressive preoperative therapy or perhaps require less aggressive chemotherapy. More than 30 human P450 isoenzymes have been characterized, with at least nine possessing some clinical relevance. One of these, CYP3A4/5 is involved in metabolic activation and detoxification of a wide number of carcinogens and chemotherapeutic agents, including many drugs that are useful in the treatment of osteosarcomas. MATERIALS AND METHODS: Osteosarcoma tissue microarray blocks containing biopsies from 18 primary tumors were used to analyze the expression of P450s 1A1/2, 1B1, 2B6, 2D6, and 3A4/5 by enzyme-linked avidin-biotin complexed immunohistochemistry. The frequencies of expression were 83%, 67%, and 83% for P450s 1A1/2, 1B1, and 3A4/5, respectively. P450s 2B6 and 2D6 were not detectable. RESULTS: These results were extended by developing a fluorescent-based quantitative immunocytochemistry technique to assess the levels of CYP3A4/5 in 18 paraffin-embedded primary biopsy sections. Expression of CYP3A4/5 was found to be significantly higher in primary biopsies of patients who developed distant metastatic disease compared with biopsies from patients with nonmetastatic disease (P = 0.0004). CONCLUSION: High cytochrome P450 CYP3A4/5 expression may predict metastasis and poor prognosis in osteosarcomas. Its use as a biomarker of therapeutic response will have implications for the treatment of these tumors.
PURPOSE:Osteosarcoma, the most common pediatric primary bone tumor, is an aggressive malignancy with a tendency for early pulmonary metastasis. A reliable biomarker to predict clinical outcome at diagnosis has not yet been identified. To date, pathological review of neoadjuvant chemotherapy-induced necrosis is the most useful determinant of which patients are likely to develop metastatic disease. There is a clinical need to identify patients who will benefit from more aggressive preoperative therapy or perhaps require less aggressive chemotherapy. More than 30 human P450 isoenzymes have been characterized, with at least nine possessing some clinical relevance. One of these, CYP3A4/5 is involved in metabolic activation and detoxification of a wide number of carcinogens and chemotherapeutic agents, including many drugs that are useful in the treatment of osteosarcomas. MATERIALS AND METHODS:Osteosarcoma tissue microarray blocks containing biopsies from 18 primary tumors were used to analyze the expression of P450s 1A1/2, 1B1, 2B6, 2D6, and 3A4/5 by enzyme-linked avidin-biotin complexed immunohistochemistry. The frequencies of expression were 83%, 67%, and 83% for P450s 1A1/2, 1B1, and 3A4/5, respectively. P450s 2B6 and 2D6 were not detectable. RESULTS: These results were extended by developing a fluorescent-based quantitative immunocytochemistry technique to assess the levels of CYP3A4/5 in 18 paraffin-embedded primary biopsy sections. Expression of CYP3A4/5 was found to be significantly higher in primary biopsies of patients who developed distant metastatic disease compared with biopsies from patients with nonmetastatic disease (P = 0.0004). CONCLUSION: High cytochrome P450 CYP3A4/5 expression may predict metastasis and poor prognosis in osteosarcomas. Its use as a biomarker of therapeutic response will have implications for the treatment of these tumors.
Authors: Yu-Ting Chang; Daniela Hernandez; Salvador Alonso; Minling Gao; Meng Su; Gabriel Ghiaur; Mark J Levis; Richard J Jones Journal: Blood Adv Date: 2019-03-26
Authors: Jessica L Klockow; Kenneth S Hettie; Edward L LaGory; Eui Jung Moon; Amato J Giaccia; Edward E Graves; Frederick T Chin Journal: Sens Actuators B Chem Date: 2019-11-30 Impact factor: 7.460
Authors: Jolantha Beyerle; Andreana N Holowatyj; Mariam Haffa; Eva Frei; Biljana Gigic; Petra Schrotz-King; Juergen Boehm; Nina Habermann; Marie Stiborova; Dominique Scherer; Torsten Kölsch; Stephanie Skender; Nikolaus Becker; Esther Herpel; Martin Schneider; Alexis Ulrich; Peter Schirmacher; Jenny Chang-Claude; Hermann Brenner; Michael Hoffmeister; Ulrike Haug; Robert W Owen; Cornelia M Ulrich Journal: Cancer Epidemiol Biomarkers Prev Date: 2019-11-18 Impact factor: 4.254
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