Academic Journal
In silico Approach for Validating and Unveiling New Applications for Prognostic Biomarkers of Endometrial Cancer
| العنوان: | In silico Approach for Validating and Unveiling New Applications for Prognostic Biomarkers of Endometrial Cancer |
|---|---|
| المؤلفون: | Coll De la Rubia, Eva, Martinez-Garcia, Elena, Dittmar, Gunnar, Nazarov, Petr V., Bebia Conesa, Vicente, Cabrera Diaz, Silvia, Gil Moreno, Antonio, Colas Ortega, Eva |
| المساهمون: | Institut Català de la Salut, Coll-de la Rubia E, Colás E Grup de Recerca Biomèdica en Ginecologia, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. CIBERONC Barcelona, Spain. Martinez-Garcia E, Dittmar G, Nazarov PV Luxembourg Institute of Health, L-1445 Strassen, Luxembourg. Bebia V Servei de Ginecologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. CIBERONC, Barcelona, Spain. Cabrera S, Gil-Moreno A Grup de Recerca Biomèdica en Ginecologia, Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. CIBERONC, Barcelona, Spain. Servei de Ginecologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. CIBERONC, Barcelona, Spain, Vall d'Hebron Barcelona Hospital Campus |
| المصدر: | Scientia |
| بيانات النشر: | MDPI |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Simulació (Medicina), Endometri - Càncer - Prognosi, DISEASES::Neoplasms::Neoplasms by Site::Urogenital Neoplasms::Genital Neoplasms, Female::Uterine Neoplasms::Endometrial Neoplasms, Other subheadings::Other subheadings::/diagnosis, ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Prognosis, INFORMATION SCIENCE::Information Science::Computing Methodologies::Computer Simulation, ENFERMEDADES::neoplasias::neoplasias por localización::neoplasias urogenitales::neoplasias de los genitales femeninos::neoplasias uterinas::neoplasias endometriales, Otros calificadores::Otros calificadores::/diagnóstico, TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::pronóstico, CIENCIA DE LA INFORMACIÓN::Ciencias de la información::metodologías computacionales::simulación por ordenador |
| الوصف: | Bioinformática; Cáncer de endometrio; Biomarcador pronóstico ; Bioinformàtica; Càncer d'endometri; Biomarcador pronòstic ; Bioinformatics; Endometrial cancer; Prognostic biomarker ; Endometrial cancer (EC) mortality is directly associated with the presence of prognostic factors. Current stratification systems are not accurate enough to predict the outcome of patients. Therefore, identifying more accurate prognostic EC biomarkers is crucial. We aimed to validate 255 prognostic biomarkers identified in multiple studies and explore their prognostic application by analyzing them in TCGA and CPTAC datasets. We analyzed the mRNA and proteomic expression data to assess the statistical prognostic performance of the 255 proteins. Significant biomarkers related to overall survival (OS) and recurrence-free survival (RFS) were combined and signatures generated. A total of 30 biomarkers were associated either to one or more of the following prognostic factors: histological type (n = 15), histological grade (n = 6), FIGO stage (n = 1), molecular classification (n = 16), or they were associated to OS (n = 11), and RFS (n = 5). A prognostic signature composed of 11 proteins increased the accuracy to predict OS (AUC = 0.827). The study validates and identifies new potential applications of 30 proteins as prognostic biomarkers and suggests to further study under-studied biomarkers such as TPX2, and confirms already used biomarkers such as MSH6, MSH2, or L1CAM. These results are expected to advance the quest for biomarkers to accurately assess the risk of EC patients. ; This research was funded by grants from the Instituto de Salud Carlos III (ISCIII) grant number PI17/02155, PI20/00644, and the IFI19/00029 to E.C.-d.l.R., the Ministerio de ciencia, Innovación y Universidades through a RETOS Colaboración (RTC-2017-6261-1), both co-financed by the European Regional Development Fund (FEDER); from Fundación Científica Asociación Española Contra el Cáncer (AECC) grant number GCTRA1804MATI and CIBERONC network grant number ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2072-6694 |
| Relation: | Cancers;13(20); https://doi.org/10.3390/cancers13205052; info:eu-repo/grantAgreement/ES/PE2013-2016/PI17%2F02155; info:eu-repo/grantAgreement/ES/PE2017-2020/PI20%2F00644; info:eu-repo/grantAgreement/ES/PE2017-2020/IFI19%2F00029; Coll-de la Rubia E, Martinez-Garcia E, Dittmar G, Nazarov PV, Bebia V, Cabrera S, et al. In silico Approach for Validating and Unveiling New Applications for Prognostic Biomarkers of Endometrial Cancer. Cancers. 2021 Oct;13(20):5052.; https://hdl.handle.net/11351/7489; 000717165500001 |
| DOI: | 10.3390/cancers13205052 |
| الاتاحة: | https://hdl.handle.net/11351/7489 https://doi.org/10.3390/cancers13205052 |
| Rights: | Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.44D719A5 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20726694 |
|---|---|
| DOI: | 10.3390/cancers13205052 |