Log Odds of Positive Lymph Nodes Predict Surgical Prognosisin Intrahepatic Cholangiocarcinoma based on Seer Cohort and Nomogram Model

Authors

  • Shan Li Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China Author
  • Guoxia Jia Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China Author
  • Fan Luo Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China Author
  • Jiaxin Yin Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China Author
  • Shaochong Deng Division of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Guangzhou Road 300, Nanjing, 210029, China Author
  • Jianfu Zhao Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China Author
  • Huizhong Wang Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China Author

DOI:

https://doi.org/10.47363/JGHR/2025(6)184

Keywords:

Intrahepatic Cholangiocarcinoma, Log Odds of Positive Lymph Nodes (LODDS), Clinical Predictive Model, Nomogram, SEER Database

Abstract

Background: Intrahepatic cholangiocarcinoma (ICC) has a high postoperative recurrence rate, but quantitative assessment of lymph node metastasis (LNM) by AJCC staging remains inadequate. The log odds of positive lymph nodes (LODDS) have prognostic value in digestive system tumors, but its application in ICC has yet to be studied.


Method: Based on the SEER database (2010-2017), 593 ICC patients after hepatectomy or choledochotomy surgery, Cox regression was applied to analyze the association between LODDS and the risk of all-cause mortality (ACM) and cancer-specific mortality (CSM), and risk thresholds were determined by restricted cubic spline (RCS), and a nomogram predictive model was constructed based on variables screened by Boruta’s algorithm. Patients were stratified by optimal nomogram cutoff, and survival was compared via Kaplan-Meier curves.


Results: LODDS was positively linear correlated with ACM (HR=2.062, 95% CI: 1.683, 2.527, P<0.001) and CSM (HR=2.068, 95% CI: 1.632, 2.622, P<0.001), with the optimal cutoff value of -0.63. The risk of death was increased 1.7 times in the high LODDS group (>-0.477) compared with the baseline group. The nomogram integrating variables such as LODDS, T-staging, and tumor size had a C-index of 0.711, which had a good predictive performance. Survival differences were statistically significant for both LODDS-based stratification and nomogram-based risk groups.


Conclusion: LODDS is an independent prognostic factor for post-operative ICC survival, enabling optimized risk stratification and personalized followup strategies.

Author Biographies

  • Shan Li, Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China

    Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China

  • Guoxia Jia, Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China


    Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China

  • Fan Luo, Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China


    Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China

  • Jiaxin Yin, Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China

    Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China

  • Shaochong Deng, Division of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Guangzhou Road 300, Nanjing, 210029, China

    Division of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Guangzhou Road 300, Nanjing, 210029, China

  • Jianfu Zhao, Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China

    Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China

  • Huizhong Wang, Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China

    Research Center of Cancer Diagnosis and Therapy, Department of Oncology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Guangzhou 510630, China

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Published

2025-11-20

Issue

Vol. 6 No. 6 (2025): Volume 6 Issue 6

Section

Articles