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Related Experiment Video

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Isolation of Proximal Fluids to Investigate the Tumor Microenvironment of Pancreatic Adenocarcinoma
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Machine Learning-Based Classification of Depression Using Inflammatory Biomarkers in Pancreatic Cancer Patients.

Yang-Chen Shen1, Po I Wu2, Cheng-Feng Lin3

  • 1Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

The Kaohsiung Journal of Medical Sciences
|August 25, 2025
PubMed
Summary

Inflammation is linked to pancreatic cancer and depression. Elevated inflammatory markers like C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR) predict depression in cancer patients, aiding early detection.

Keywords:
depressioninflammatory biomarkersmachine learningpancreatic cancer

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Area of Science:

  • Oncology
  • Psychiatry
  • Biomedical Data Science

Background:

  • Inflammation is a known factor in both pancreatic cancer and depression.
  • Identifying depression in cancer patients is crucial for effective care.
  • Machine learning offers novel approaches to analyze complex clinical data.

Purpose of the Study:

  • To investigate the predictive value of inflammatory markers for depression in pancreatic cancer patients.
  • To explore the clinical associations between inflammation and depression using machine learning and statistical modeling.
  • To assess the utility of routinely collected clinical data in identifying depression risk.

Main Methods:

  • Utilized machine learning models (logistic regression, random forest, SVM, XGBoost) on data from 328 pancreatic cancer patients.
  • Assessed depression using the Patient Health Questionnaire-9 (PHQ-9).
  • Employed permutation importance analysis and generalized estimating equations to identify key predictors.

Main Results:

  • Machine learning models demonstrated moderate discriminative capacity for depression (AUC: 0.70-0.72).
  • C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR) were identified as key predictors of depression.
  • Elevated CRP (OR=1.32) and NLR (OR=1.55) were independently associated with depression.

Conclusions:

  • Inflammatory markers, specifically CRP and NLR, can help identify pancreatic cancer patients at risk for depression.
  • Findings reinforce the significant link between inflammation and depression in this population.
  • Machine learning models incorporating inflammatory markers show promise for early depression detection and intervention in oncology care.