Forskning
Udskriv Udskriv
Switch language
Region Hovedstaden - en del af Københavns Universitetshospital
Udgivet

A Prognostic Model for Glioblastoma Patients Treated With Standard Therapy Based on a Prospective Cohort of Consecutive Non-Selected Patients From a Single Institution

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

DOI

  1. Systemic Immune Modulation in Gliomas: Prognostic Value of Plasma IL-6, YKL-40, and Genetic Variation in YKL-40

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Clinical Characteristics of Gliosarcoma and Outcomes From Standardized Treatment Relative to Conventional Glioblastoma

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. An Extended Hypofractionated Palliative Radiotherapy Regimen for Head and Neck Carcinomas

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Perspective: targeting VEGF-A and YKL-40 in glioblastoma - matter matters

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Possible Relevance of Soluble Luteinizing Hormone Receptor during Development and Adulthood in Boys and Men

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Noncoding RNA (ncRNA) Profile Association with Patient Outcome in Epithelial Ovarian Cancer Cases

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Vis graf over relationer

Background: Glioblastoma patients administered standard therapies, comprising maximal surgical resection, radiation therapy with concomitant and adjuvant temozolomide, have a variable prognosis with a median overall survival of 15–16 months and a 2-year overall survival of 30%. The aim of this study was to develop a prognostic nomogram for overall survival for glioblastoma patients treated with standard therapy outside clinical trials. Methods: The study included 680 consecutive, non-selected glioblastoma patients administered standard therapy as primary treatment between the years 2005 and 2016 at Rigshospitalet, Copenhagen, Denmark. The prognostic model was generated employing multivariate Cox regression analysis modeling overall survival. Results: The following poor prognostic factors were included in the final prognostic model for overall survival: Age (10-year increase: HR = 1.18, 95% CI: 1.08–1.28, p < 0.001), ECOG performance status (PS) 1 vs. 0 (HR = 1.30, 95% CI: 1.07–1.57, p = 0.007), PS 2 vs. 0 (HR = 2.99, 95% CI: 1.99–4.50, p < 0.001), corticosteroid use (HR = 1.42, 95% CI: 1.18–1.70, p < 0.001), multifocal disease (HR = 1.63, 95% CI: 1.25–2.13, p < 0.001), biopsy vs. resection (HR = 1.35, 95% CI: 1.04–1.72, p = 0.02), un-methylated promoter of the MGMT (O 6-methylguanine-DNA methyltransferase) gene (HR = 1.71, 95% CI: 1.42–2.04, p < 0.001). The model was validated internally and had a concordance index of 0.65. Conclusion: A nomogram for overall survival was established. This model can be used for risk stratification and treatment planning, as well as improve enrollment criteria for clinical trials.

OriginalsprogEngelsk
Artikelnummer597587
TidsskriftFrontiers in Oncology
Vol/bind11
Sider (fra-til)1-9
Antal sider9
ISSN2234-943X
DOI
StatusUdgivet - 25 feb. 2021

ID: 64229686