4.7 Article

Competing risk model to determine the prognostic factors and treatment strategies for elderly patients with glioblastoma

Journal

SCIENTIFIC REPORTS
Volume 11, Issue 1, Pages -

Publisher

NATURE RESEARCH
DOI: 10.1038/s41598-021-88820-5

Keywords

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Funding

  1. National Natural Science Foundation of China [82073893, 81703622, 81472693, 81873635]
  2. China Postdoctoral Science Foundation [2018M633002]
  3. Hunan Provincial Natural Science Foundation of China [2018JJ3838, 2018SK2101, 2020JJ8111]
  4. Hunan provincial health and Health Committee Foundation of China [C2019186]

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This study identified prognostic factors and optimal treatment for elderly patients with glioblastoma (GBM) through analyzing data from a large cohort. Factors such as age, race, tumor size, and tumor location were found to affect GBM-related mortality, with gross total resection, radiotherapy, chemotherapy, and chemoRT being protective factors for GBM-related death. A nomogram was developed to predict mortality rates, with GTR followed by chemoRT being suggested as the optimal treatment option.
The prognostic factors and optimal treatment for the elderly patient with glioblastoma (GBM) were poorly understood. This study extracted 4975 elderly patients (>= 65 years old) with histologically confirmed GBM from Surveillance, Epidemiology and End Results (SEER) database. Firstly, Cumulative incidence function and cox proportional model were utilized to illustrate the interference of non-GBM related mortality in our cohort. Then, the Fine-Gray competing risk model was applied to determine the prognostic factors for GBM related mortality. Age >= 75 years old, white race, size>5.4 cm, frontal lobe tumor, and overlapping lesion were independently associated with more GBM related death, while Gross total resection (GTR) (HR 0.87, 95%CI 0.80-0.94, P=0.010), radiotherapy (HR 0.64, 95%CI 0.55-0.74, P<0.001), chemotherapy (HR 0.72, 95%CI 0.59-0.90, P=0.003), and chemoRT (HR 0.43, 95%CI 0.38-0.48, P<0.001) were identified as independently protective factors of GBM related death. Based on this, a corresponding nomogram was conducted to predict 3-, 6- and 12-month GBM related mortality, the C-index of which were 0.763, 0.718, and 0.694 respectively. The calibration curve showed that there was a good consistency between the predicted and the actual mortality probability. Concerning treatment options, GTR followed by chemoRT is suggested as optimal treatment. Radiotherapy and chemotherapy alone also provide moderate clinical benefits.

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