Multimodal Hazard Rate for Relapse in Breast Cancer: Quality of Data and Calibration of Computer Simulation
| Autor: | Michael W. Retsky, Romano Demicheli |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Oncology
Cancer Research medicine.medical_specialty Bioinformatics lcsh:RC254-282 surgery transient systemic inflammation Breast cancer breast cancer Post mastectomy Internal medicine Anesthesiology database quality medicine Retrospective analysis business.industry Hazard ratio bimodal and multimodal relapse patterns Perioperative medicine.disease lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens perioperative NSAID Commentary early relapses business |
| Zdroj: | Cancers, Vol 6, Iss 4, Pp 2343-2355 (2014) Cancers |
| ISSN: | 2072-6694 |
| Popis: | Much has occurred since our 2010 report in Cancers. In the past few years we published several extensive reviews of our research so a brief review is all that will be provided here. We proposed in the earlier reports that most relapses in breast cancer occur within 5 years of surgery and seem to be associated with some unspecified manner of surgery-induced metastatic initiation. These events can be identified in relapse data and are correlated with clinical data. In the last few years an unexpected mechanism has become apparent. Retrospective analysis of relapse events by a Brussels anesthesiology group reported that a perioperative NSAID analgesic seems to reduce early relapses five-fold. We then proposed that primary surgery produces a transient period of systemic inflammation. This has now been identified by inflammatory markers in serum post mastectomy. That could explain the early relapses. It is possible that an inexpensive and non-toxic NSAID can reduce breast cancer relapses significantly. We want to take this opportunity to discuss database quality issues and our relapse hazard data in some detail. We also present a demonstration that the computer simulation can be calibrated with Adjuvant-on-line, an often used clinical tool for prognosis in breast cancer. |
| Databáze: | OpenAIRE |
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