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Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

340
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. A Personalized Prognostic Model For Long-term Survival In Patients With Intrahepatic Cholangiocarcinoma: A Retrospective Cohort Study.
  1. Home
  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. A Personalized Prognostic Model For Long-term Survival In Patients With Intrahepatic Cholangiocarcinoma: A Retrospective Cohort Study.

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A Three-Dimensional Spheroid Model to Investigate the Tumor-Stromal Interaction in Hepatocellular Carcinoma
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A personalized prognostic model for long-term survival in patients with intrahepatic cholangiocarcinoma: a retrospective cohort study.

Xianhui Dong1, Pengwei Zhang1, Chunhong Ye2

  • 1Center for Pre-Disease Treatment and Health Management, Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, China.

Annals of Surgical Treatment and Research
|July 9, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

This study developed a new nomogram for predicting intrahepatic cholangiocarcinoma (ICC) survival. The nomogram accurately forecasts 1-, 3-, and 5-year survival rates, outperforming current staging systems.

Keywords:
CholangiocarcinomaNeoplasmsNomogramsSurvival

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Area of Science:

  • Hepatobiliary Surgery
  • Surgical Oncology
  • Cancer Prognostics

Background:

  • Intrahepatic cholangiocarcinoma (ICC) is a primary liver cancer with significant mortality.
  • Accurate prognostic tools are crucial for personalized treatment strategies in ICC patients.
  • Existing staging systems may not fully capture the complexity of ICC patient outcomes.

Purpose of the Study:

  • To determine optimal cutoff points for patient age and tumor size in intrahepatic cholangiocarcinoma (ICC).
  • To establish and validate a predictive nomogram for overall survival at 1, 3, and 5 years in ICC patients.
  • To compare the predictive accuracy of the new nomogram against established staging systems.

Main Methods:

  • Utilized data from 1,325 ICC patients from the SEER database, randomly split into training (70%) and testing (30%) cohorts.
  • Employed X-tile software for age and tumor size classification and R software for univariate and multivariate Cox regression analyses.
  • Determined independent risk factors to construct and validate a predictive nomogram for overall survival.

    • Main Results:

    • The developed nomogram demonstrated strong predictive performance with C-indexes of 0.738 (training) and 0.750 (testing).
    • Areas under the 1-, 3-, and 5-year ROC curves were 0.792, 0.853, and 0.838, respectively.
    • The nomogram's predictive accuracy surpassed that of the 7th and 8th editions of the AJCC staging system.

    Conclusions:

    • A validated prognostic nomogram was established for intrahepatic cholangiocarcinoma (ICC) patients.
    • This nomogram significantly enhances the accuracy of 1-, 3-, and 5-year survival predictions.
    • The tool aids clinicians in providing personalized survival prognoses for ICC patients.