Amyloid-like p53 as prognostic biomarker in serous ovarian cancer—a study of the OVCAD consortium
TP53 is the most commonly mutated gene in cancer and has been shown to form amyloid-like aggregates, similar to key proteins in neurodegenerative diseases. Nonetheless, the clinical implications of p53 aggregation remain unclear. Here, we investigated the presence and clinical relevance of p53 aggre...
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| Published in: | Oncogene Vol. 42; no. 33; pp. 2473 - 2484 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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11.08.2023
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| ISSN: | 0950-9232, 1476-5594, 1476-5594 |
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| Abstract | TP53
is the most commonly mutated gene in cancer and has been shown to form amyloid-like aggregates, similar to key proteins in neurodegenerative diseases. Nonetheless, the clinical implications of p53 aggregation remain unclear. Here, we investigated the presence and clinical relevance of p53 aggregates in serous ovarian cancer (OC). Using the p53-Seprion-ELISA, p53 aggregates were detected in 46 out of 81 patients, with a detection rate of 84.3% in patients with missense mutations. High p53 aggregation was associated with prolonged progression-free survival. We found associations of overall survival with p53 aggregates, but they did not reach statistical significance. Interestingly, p53 aggregation was significantly associated with elevated levels of p53 autoantibodies and increased apoptosis, suggesting that high levels of p53 aggregates may trigger an immune response and/or exert a cytotoxic effect. To conclude, for the first time, we demonstrated that p53 aggregates are an independent prognostic marker in serous OC. P53-targeted therapies based on the amount of these aggregates may improve the patient’s prognosis. |
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| AbstractList | TP53 is the most commonly mutated gene in cancer and has been shown to form amyloid-like aggregates, similar to key proteins in neurodegenerative diseases. Nonetheless, the clinical implications of p53 aggregation remain unclear. Here, we investigated the presence and clinical relevance of p53 aggregates in serous ovarian cancer (OC). Using the p53-Seprion-ELISA, p53 aggregates were detected in 46 out of 81 patients, with a detection rate of 84.3% in patients with missense mutations. High p53 aggregation was associated with prolonged progression-free survival. We found associations of overall survival with p53 aggregates, but they did not reach statistical significance. Interestingly, p53 aggregation was significantly associated with elevated levels of p53 autoantibodies and increased apoptosis, suggesting that high levels of p53 aggregates may trigger an immune response and/or exert a cytotoxic effect. To conclude, for the first time, we demonstrated that p53 aggregates are an independent prognostic marker in serous OC. P53-targeted therapies based on the amount of these aggregates may improve the patient's prognosis.TP53 is the most commonly mutated gene in cancer and has been shown to form amyloid-like aggregates, similar to key proteins in neurodegenerative diseases. Nonetheless, the clinical implications of p53 aggregation remain unclear. Here, we investigated the presence and clinical relevance of p53 aggregates in serous ovarian cancer (OC). Using the p53-Seprion-ELISA, p53 aggregates were detected in 46 out of 81 patients, with a detection rate of 84.3% in patients with missense mutations. High p53 aggregation was associated with prolonged progression-free survival. We found associations of overall survival with p53 aggregates, but they did not reach statistical significance. Interestingly, p53 aggregation was significantly associated with elevated levels of p53 autoantibodies and increased apoptosis, suggesting that high levels of p53 aggregates may trigger an immune response and/or exert a cytotoxic effect. To conclude, for the first time, we demonstrated that p53 aggregates are an independent prognostic marker in serous OC. P53-targeted therapies based on the amount of these aggregates may improve the patient's prognosis. TP53 is the most commonly mutated gene in cancer and has been shown to form amyloid-like aggregates, similar to key proteins in neurodegenerative diseases. Nonetheless, the clinical implications of p53 aggregation remain unclear. Here, we investigated the presence and clinical relevance of p53 aggregates in serous ovarian cancer (OC). Using the p53-Seprion-ELISA, p53 aggregates were detected in 46 out of 81 patients, with a detection rate of 84.3% in patients with missense mutations. High p53 aggregation was associated with prolonged progression-free survival. We found associations of overall survival with p53 aggregates, but they did not reach statistical significance. Interestingly, p53 aggregation was significantly associated with elevated levels of p53 autoantibodies and increased apoptosis, suggesting that high levels of p53 aggregates may trigger an immune response and/or exert a cytotoxic effect. To conclude, for the first time, we demonstrated that p53 aggregates are an independent prognostic marker in serous OC. P53-targeted therapies based on the amount of these aggregates may improve the patient’s prognosis. TP53 is the most commonly mutated gene in cancer and has been shown to form amyloid-like aggregates, similar to key proteins in neurodegenerative diseases. Nonetheless, the clinical implications of p53 aggregation remain unclear. Here, we investigated the presence and clinical relevance of p53 aggregates in serous ovarian cancer (OC). Using the p53-Seprion-ELISA, p53 aggregates were detected in 46 out of 81 patients, with a detection rate of 84.3% in patients with missense mutations. High p53 aggregation was associated with prolonged progression-free survival. We found associations of overall survival with p53 aggregates, but they did not reach statistical significance. Interestingly, p53 aggregation was significantly associated with elevated levels of p53 autoantibodies and increased apoptosis, suggesting that high levels of p53 aggregates may trigger an immune response and/or exert a cytotoxic effect. To conclude, for the first time, we demonstrated that p53 aggregates are an independent prognostic marker in serous OC. P53-targeted therapies based on the amount of these aggregates may improve the patient’s prognosis. |
| Author | Heinze, Georg Yang, Wei-Lei Sehouli, Jalid Obermayr, Eva Vergote, Ignace Zeillinger, Robert Van Gorp, Toon Bast, Robert C. Schymkowitz, Joost Concin, Nicole Paspalj, Valentina Maritschnegg, Elisabeth Koziel, Katarzyna Braicu, Elena I. Rousseau, Frederic Grimm, Christoph Heinzl, Nicole Schuster, Eva Holzer, Barbara Mahner, Sven Schilhart-Wallisch, Christine |
| Author_xml | – sequence: 1 givenname: Nicole surname: Heinzl fullname: Heinzl, Nicole organization: Department of Obstetrics and Gynaecology, Molecular Oncology Group, Comprehensive Cancer Center-Gynaecologic Cancer Unit, Medical University of Vienna – sequence: 2 givenname: Elisabeth surname: Maritschnegg fullname: Maritschnegg, Elisabeth organization: Department of Obstetrics and Gynaecology, Molecular Oncology Group, Comprehensive Cancer Center-Gynaecologic Cancer Unit, Medical University of Vienna, Switch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Department of Cellular and Molecular Medicine, KU Leuven – sequence: 3 givenname: Katarzyna surname: Koziel fullname: Koziel, Katarzyna organization: Department of Gynaecology and Obstetrics, Innsbruck Medical University – sequence: 4 givenname: Christine surname: Schilhart-Wallisch fullname: Schilhart-Wallisch, Christine organization: Section for Clinical Biometrics, Center for Medical Data Science, Medical University of Vienna – sequence: 5 givenname: Georg surname: Heinze fullname: Heinze, Georg organization: Section for Clinical Biometrics, Center for Medical Data Science, Medical University of Vienna – sequence: 6 givenname: Wei-Lei surname: Yang fullname: Yang, Wei-Lei organization: Department of Experimental Therapeutics, University of Texas M.D. Anderson Cancer Center – sequence: 7 givenname: Robert C. surname: Bast fullname: Bast, Robert C. organization: Department of Experimental Therapeutics, University of Texas M.D. Anderson Cancer Center – sequence: 8 givenname: Jalid surname: Sehouli fullname: Sehouli, Jalid organization: Department of Gynaecology, European Competence Center for Ovarian Cancer, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Virchow Klinikum – sequence: 9 givenname: Elena I. surname: Braicu fullname: Braicu, Elena I. organization: Department of Gynaecology, European Competence Center for Ovarian Cancer, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Campus Virchow Klinikum, Department of Obstetrics and Gynecology, Stanford University – sequence: 10 givenname: Ignace surname: Vergote fullname: Vergote, Ignace organization: Division of Gynaecologic Oncology, University Hospital Leuven, Leuven Cancer Institute, KU Leuven – sequence: 11 givenname: Toon orcidid: 0000-0002-2564-721X surname: Van Gorp fullname: Van Gorp, Toon organization: Division of Gynaecologic Oncology, University Hospital Leuven, Leuven Cancer Institute, KU Leuven – sequence: 12 givenname: Sven surname: Mahner fullname: Mahner, Sven organization: Department of Gynaecology, University Medical Center Hamburg-Eppendorf, Department of Obstetrics and Gynaecology, University Hospital, Ludwig-Maximilians-University Munich – sequence: 13 givenname: Valentina surname: Paspalj fullname: Paspalj, Valentina organization: Department of Obstetrics and Gynaecology, Division of General Gynaecology and Gynaecologic Oncology, Comprehensive Cancer Center-Gynaecologic Cancer Unit, Medical University of Vienna – sequence: 14 givenname: Christoph surname: Grimm fullname: Grimm, Christoph organization: Department of Obstetrics and Gynaecology, Division of General Gynaecology and Gynaecologic Oncology, Comprehensive Cancer Center-Gynaecologic Cancer Unit, Medical University of Vienna – sequence: 15 givenname: Eva surname: Obermayr fullname: Obermayr, Eva organization: Department of Obstetrics and Gynaecology, Molecular Oncology Group, Comprehensive Cancer Center-Gynaecologic Cancer Unit, Medical University of Vienna – sequence: 16 givenname: Eva surname: Schuster fullname: Schuster, Eva organization: Department of Obstetrics and Gynaecology, Molecular Oncology Group, Comprehensive Cancer Center-Gynaecologic Cancer Unit, Medical University of Vienna – sequence: 17 givenname: Barbara surname: Holzer fullname: Holzer, Barbara organization: Department of Obstetrics and Gynaecology, Molecular Oncology Group, Comprehensive Cancer Center-Gynaecologic Cancer Unit, Medical University of Vienna – sequence: 18 givenname: Frederic orcidid: 0000-0002-9189-7399 surname: Rousseau fullname: Rousseau, Frederic organization: Switch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Department of Cellular and Molecular Medicine, KU Leuven – sequence: 19 givenname: Joost surname: Schymkowitz fullname: Schymkowitz, Joost organization: Switch Laboratory, VIB-KU Leuven Center for Brain and Disease Research, Department of Cellular and Molecular Medicine, KU Leuven – sequence: 20 givenname: Nicole surname: Concin fullname: Concin, Nicole organization: Department of Gynaecology and Obstetrics, Innsbruck Medical University – sequence: 21 givenname: Robert orcidid: 0000-0001-6771-4591 surname: Zeillinger fullname: Zeillinger, Robert email: robert.zeillinger@meduniwien.ac.at organization: Department of Obstetrics and Gynaecology, Molecular Oncology Group, Comprehensive Cancer Center-Gynaecologic Cancer Unit, Medical University of Vienna |
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| DOI | 10.1038/s41388-023-02758-8 |
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is the most commonly mutated gene in cancer and has been shown to form amyloid-like aggregates, similar to key proteins in neurodegenerative diseases.... TP53 is the most commonly mutated gene in cancer and has been shown to form amyloid-like aggregates, similar to key proteins in neurodegenerative diseases.... |
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| Title | Amyloid-like p53 as prognostic biomarker in serous ovarian cancer—a study of the OVCAD consortium |
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