JoVE - Journal of Visualized Experiments
JoVE Visualize
Contact Us

Nomogram for prognosis prediction in metastatic pancreatic cancer patients undergoing intra-arterial infusion chemotherapy: incorporating immune-inflammation scores and coagulation indicators

  • 0Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Bmc Cancer +

|

January 20, 2025

|

January 20, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study developed a predictive nomogram for metastatic pancreatic cancer (MPC) patients, integrating immune-inflammatory scores and coagulation indices to forecast overall survival (OS) and stratify risk effectively.

Area Of Science

  • Oncology
  • Medical Statistics
  • Immunology

Background

  • Pancreatic cancer is a highly lethal malignancy with a poor prognosis.
  • Metastatic pancreatic cancer (MPC) presents significant treatment challenges.
  • Identifying reliable prognostic markers is crucial for managing MPC patients.

Purpose Of The Study

  • To evaluate the prognostic significance of immune-inflammatory scores and coagulation indices in MPC patients.
  • To develop and validate a predictive nomogram for overall survival (OS) in MPC.
  • To stratify MPC patients into distinct risk groups for personalized treatment strategies.

Main Methods

  • Retrospective analysis of 384 MPC patients treated with intra-arterial infusion chemotherapy (IAIC).
  • Evaluation of immune-inflammatory scores (neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, systemic immune-inflammation index) and coagulation indicators (prothrombin time, fibrinogen, D-dimer).
  • Construction and validation of a Cox regression-based nomogram, assessed using concordance index (C-index) and area under the ROC curve (AUC).

Main Results

  • Immune-inflammatory scores (NLR, PLR, SII) and coagulation indicators (PT, FIB, D-dimer) were significantly associated with OS.
  • A nomogram incorporating NLR, PLR, PT, alkaline phosphatase, CA125, age, and ablation demonstrated good predictive ability (C-index=0.722).
  • The nomogram achieved AUC values of 0.828/0.851 (training) and 0.754/0.791 (validation) for 6/12-month OS prediction, with good calibration.

Conclusions

  • The developed nomogram effectively predicts overall survival in patients with metastatic pancreatic cancer.
  • Integration of immune-inflammatory scores, coagulation indices, and clinicopathological factors enhances prognostic accuracy.
  • The nomogram facilitates risk stratification, aiding in clinical decision-making for MPC management.

Keywords: