A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma.

in Scientific reports by Fengfeng Li, Dongyuan Wang, Nana Wang, Linlin Wu, Bo Yu

TLDR

  • This study looked at how well a tool called a nomogram could predict the survival of people with a type of brain tumor called glioma.
  • The tool used Ki-67 as one of the factors to predict survival.
  • The study found that the tool could help doctors make better decisions about treatment and follow-up for people with glioma.

Abstract

This study examined to evaluate the predictive value of a nomogram with Ki-67 in overall and disease-free survival in glioma patients, a total of 76 patients diagnosed with glioma by pathology in Tengzhou Central People's Hospital were enrolled. The baseline data and follow ups were retrospectively collected from medical records. The associations between Ki-67 and survival status were examined using log-rank test, univariate and multivariate Cox proportional hazard regression models. Calibrations were performed to validate the established nomograms. Ki-67 negative group showed of a longer OS survival time and a longer PFS survival time with log-rank test (x= 16.101, P < 0.001 and x= 16.961, P < 0.001). Age older than 50 years (HR = 2.074, 95% CI 1.097-3.923), abnormal treatment (HR = 2.932, 95% CI 1.343-6.403) and Ki-67 positive (HR = 2.722, 95% CI 1.097-6.755) were the independent predictive factors of death. High grade pathology (HR = 2.453, 95% CI 1.010-5.956) and Ki-67 positive (HR = 2.200, 95% CI 1.043-4.639) were the independent predictive factors of recurrence. The C-index for the nomogram of OS and PFS were 0.745 and 0.723, respectively. The calibration results showed that the nomogram could predict the overall and disease-free 1-year survival of glioma patients. In conclusion, the nomograms with Ki-67 as independent risk factor for OS and PFS could provide clinical consultation in the treatment and follow-up of malignant glioma.

Overview

  • The study aimed to evaluate the predictive value of a nomogram with Ki-67 in overall and disease-free survival in glioma patients.
  • The study included 76 patients diagnosed with glioma by pathology in Tengzhou Central People's Hospital.
  • The associations between Ki-67 and survival status were examined using log-rank test, univariate and multivariate Cox proportional hazard regression models. Calibrations were performed to validate the established nomograms.

Comparative Analysis & Findings

  • The Ki-67 negative group showed a longer OS survival time and a longer PFS survival time with log-rank test.
  • Age older than 50 years, abnormal treatment, and Ki-67 positive were the independent predictive factors of death.
  • High grade pathology and Ki-67 positive were the independent predictive factors of recurrence.

Implications and Future Directions

  • The nomograms with Ki-67 as independent risk factor for OS and PFS could provide clinical consultation in the treatment and follow-up of malignant glioma.
  • The study highlights the importance of Ki-67 as a prognostic marker in glioma patients.
  • Future studies should validate the nomograms in larger cohorts and explore the potential of Ki-67 as a therapeutic target.
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