The anti-apoptotic protein survivin can improve the prognostication of meningioma patients
| Autor: | Sverre H. Torp, Theo L. Winther |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Male
Oncology Multivariate analysis Survivin Cancer Treatment lcsh:Medicine Kaplan-Meier Estimate Biochemistry Inhibitor of Apoptosis Proteins Mathematical and Statistical Techniques 0302 clinical medicine Medicine and Health Sciences Meningeal Neoplasms lcsh:Science Prospective cohort study Neurological Tumors Aged 80 and over Multidisciplinary Middle Aged Prognosis Tumor Resection Immunohistochemistry Surgical Oncology Neurology Research Design 030220 oncology & carcinogenesis Physical Sciences Biomarker (medicine) Female Meningioma Statistics (Mathematics) Research Article Clinical Oncology Adult medicine.medical_specialty Clinical Research Design Radiation Therapy Surgical and Invasive Medical Procedures Research and Analysis Methods 03 medical and health sciences Diagnostic Medicine Internal medicine medicine Humans Statistical Methods neoplasms Aged Proportional Hazards Models Surgical Resection Receiver operating characteristic Proportional hazards model business.industry lcsh:R Cancers and Neoplasms Biology and Life Sciences medicine.disease Survival Analysis ROC Curve Multivariate Analysis Cancer research lcsh:Q Clinical Medicine business Biomarkers Mathematics 030217 neurology & neurosurgery |
| Zdroj: | PLoS ONE, Vol 12, Iss 9, p e0185217 (2017) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | Background The 2016 WHO histopathological grading includes a substantial within-variation in recurrence risk, and is thus insufficient to predict prognosis after initial surgery of patients suffering from meningiomas. The aim of this study was to compare the prognostic value of the histopathological grading and the conventional biomarker MIB-1 with expression of the anti-apoptotic protein survivin to see if this biomarker could complement recurrence prediction. Methods Using immunohistochemistry, the expression of MIB-1 and survivin were determined as labeling indices (LIs) in tissue micro arrays from 160 human meningiomas. The accuracy of prognostication was assessed with receiver operator characteristics analyses and standard survival analyses. Results The expression of survivin was significantly associated with both histopathological grade (P = 0.022) and recurrence status (P = 0.035). A survivin LI of 1% was identified as the optimal cutoff value to predict recurrence (P = 0.003), and was proven as more reliable than the histopathological grading (P = 0.497) and MIB-1 expression (P = 0.091). This result was further strengthened in multivariate analyses where survivin expression was revealed as an independent predictor of recurrence-free survival, while the histopathological grading and MIB-1 expression did not reach significance (P ≥ 0.156). Conclusions These findings suggest that incorporation of survivin in the clinical practice might be useful as complement for the histopathological grading and should further be evaluated in independent prospective studies. © 2017 Winther, Torp. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|