- -

Unlocking Bevacizumab's Potential: rCBVmax as a Predictive Biomarker for Enhanced Survival in Glioblastoma IDH-Wildtype Patients

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Unlocking Bevacizumab's Potential: rCBVmax as a Predictive Biomarker for Enhanced Survival in Glioblastoma IDH-Wildtype Patients

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Alvarez-Torres, Maria del Mar es_ES
dc.contributor.author Balaña, Carmen es_ES
dc.contributor.author Fuster García, Elíes es_ES
dc.contributor.author Puig, Josep es_ES
dc.contributor.author Garcia-Gomez, Juan M es_ES
dc.date.accessioned 2024-04-12T18:04:39Z
dc.date.available 2024-04-12T18:04:39Z
dc.date.issued 2024-01 es_ES
dc.identifier.uri http://hdl.handle.net/10251/203464
dc.description.abstract [EN] Background: Aberrant vascular architecture and angiogenesis are hallmarks of glioblastoma IDH-wildtype, suggesting that these tumors are suitable for antiangiogenic therapy. Bevacizumab was FDA-approved in 2009 following promising results in two clinical trials. However, its use for recurrent glioblastomas remains a subject of debate, as it does not universally improve patient survival. Purposes: In this study, we aimed to analyze the influence of tumor vascularity on the benefit provided by BVZ and propose preoperative rCBVmax at the high angiogenic tumor habitat as a predictive biomarker to select patients who can benefit the most. Methods: Clinical and MRI data from 106 patients with glioblastoma IDH-wildtype have been analyzed. Thirty-nine of them received BVZ, and the remaining sixty-seven did not receive a second-line treatment. The ONCOhabitats method was used to automatically calculate rCBV. Results: We found a median survival from progression of 305 days longer for patients with moderate vascular tumors who received BVZ than those who did not receive any second-line treatment. This contrasts with patients with high-vascular tumors who only presented a median survival of 173 days longer when receiving BVZ. Furthermore, better responses to BVZ were found for the moderate-vascular group with a higher proportion of patients alive at 6, 12, 18, and 24 months after progression. Conclusions: We propose rCBVmax as a potential biomarker to select patients who can benefit more from BVZ after tumor progression. In addition, we propose a threshold of 7.5 to stratify patients into moderate- and high-vascular groups to select the optimal second-line treatment. es_ES
dc.description.sponsorship M.Á-T was supported by DPI2016-80054-R (Programa Estatal de Promoción del Talento y su Empleabilidad en I + D + i). This work was partially supported by the ALBATROSS project (National Plan for Scientific and Technical Research and Innovation 2017 2020, No. PID2019-104978RB-I00). This study was partially funded by the Fundació La Marató TV3 (665/C/2013). Grant PID2021- 127110OA-I00 (PROGRESS) was funded by MCIN/AEI/10.13039/501100011033 and ERDF, a way of making Europe. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Cancers es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Glioblastoma es_ES
dc.subject Predictive biomarker es_ES
dc.subject Angiogenesis es_ES
dc.subject Bevacizumab es_ES
dc.subject RCBV es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title Unlocking Bevacizumab's Potential: rCBVmax as a Predictive Biomarker for Enhanced Survival in Glioblastoma IDH-Wildtype Patients es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/cancers16010161 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104978RB-I00/ES/SISTEMA DE AYUDA A LA DECISION VALIDADO CLINICAMENTE BASADO EN MODELOS DE INTELIGENCIA ARTIFICIAL A NIVEL DE PIXEL PARA DECIDIR OPCIONES TERAPEUTICAS EN GLIOBLASTOMA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127110OA-I00/ES/EVALUACION MULTIPARAMETRICA DE LA PROGRESION DE LOS TUMORES CEREBRALES BASADA EN LA IA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//PID2021-127110OA-I00//EVALUACIÓN MULTIPARAMÉTRICA DE LA PROGRESIÓN DE LOS TUMORES CEREBRALES BASADA EN LA IA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//PID2019-104978RB-I00//SISTEMA DE AYUDA A LA DECISION VALIDADO CLINICAMENTE BASADO EN MODELOS DE INTELIGENCIA ARTIFICIAL A NIVEL DE PIXEL PARA DECIDIR OPCIONES TERAPEUTICAS EN GLIOBLASTOMA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Fundació La Marató de TV3//665%2FC%2F2013/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//DPI2016-80054-R//BIOMARCADORES DINAMICOS BASADOS EN FIRMAS TISULARES MULTIPARAMETRICAS PARA EL SEGUIMIENTO Y EVALUACION DE LA RESPUESTA A TRATAMIENTO DE PACIENTES CON GLIOBLASTOMA Y CANCER DE PROSTATA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Alvarez-Torres, MDM.; Balaña, C.; Fuster García, E.; Puig, J.; Garcia-Gomez, JM. (2024). Unlocking Bevacizumab's Potential: rCBVmax as a Predictive Biomarker for Enhanced Survival in Glioblastoma IDH-Wildtype Patients. Cancers. 16(1). https://doi.org/10.3390/cancers16010161 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/cancers16010161 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 16 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2072-6694 es_ES
dc.identifier.pmid 38201588 es_ES
dc.identifier.pmcid PMC10778147 es_ES
dc.relation.pasarela S\513764 es_ES
dc.contributor.funder Fundació La Marató de TV3 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem