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  5. Predictive And Prognostic Markers
  6. Depression And Inflammation Predict Depression Trajectory Of Non-small Cell Lung Cancer Patients

Depression and Inflammation Predict Depression Trajectory of Non-Small Cell Lung Cancer Patients

Kylie R Park1, Peter G Shields, John Myers

  • 1Department of Psychology, 1835 Neil Ave., Ohio State University, Columbus, Ohio 43210, USA (Park); Center for Tobacco Research, Ohio State University Comprehensive Cancer Center, 3650 Olentangy River Road, Suite 420, Columbus, Ohio 43210, USA (Shields); Department of Biomedical Informatics and Center for Biostatistics, 1800 Cannon Drive, College of Medicine, Columbus, OH 43210, USA (Myers); Center for Tobacco Research, Ohio State University Comprehensive Cancer Center, 3650 Olentangy River Road, Suite 420, Columbus, Ohio 43210, USA (Reisinger); Department of Psychology, 1885 Neil Ave., Ohio State University, Columbus, Ohio 43210, USA (Andersen).

Biopsychosocial Science and Medicine
|June 13, 2025

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View abstract on PubMed

Summary
This summary is machine-generated.

Co-occurring depression and high systemic inflammation in lung cancer patients predict worsening depressive symptoms over time. This highlights a new biobehavioral marker for identifying persistent depression in cancer care.

Area of Science:

  • Oncology
  • Psychiatry
  • Immunology

Background:

  • Depression and systemic inflammation are linked to poor outcomes in lung cancer patients.
  • The interaction between these factors and psychological morbidity is not well understood.
  • This study investigates the combined impact of depression and inflammation on depressive symptom trajectories.

Purpose of the Study:

  • To determine if the co-occurrence of depression and systemic inflammation predicts a worsened trajectory of depressive symptoms in lung cancer patients.
  • To explore the interaction of depression and inflammation as biomarkers for psychological morbidity.
  • To identify potential biobehavioral metrics for depression maintenance in lung cancer.

Main Methods:

  • An observational longitudinal cohort study (N=182) of advanced non-small cell lung cancer patients.
Keywords:
advanced lung cancer inflammation indexcancerdepressioninflammation

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  • Assessed depressive symptoms (Patient Health Questionnaire-9) and systemic inflammation (Advanced Lung Cancer Inflammation Index) at diagnosis and monthly for 8 months.
  • Subdivided patients into four cohorts based on validated cutoffs for depression and inflammation.
  • Main Results:

    • Depressive symptoms did not significantly change over time for the overall cohort (P=0.26).
    • A significant interaction effect was observed for the "Depression+Inflammation" cohort, indicating an elevated depression trajectory (P=0.001).
    • This suggests that patients with both high depression and high inflammation experienced worsening depressive symptoms.

    Conclusions:

    • Co-occurring depression and systemic inflammation predict a worsening trajectory of depressive symptoms in lung cancer patients.
    • This finding contributes to understanding depression pathophysiology in cancer.
    • The study proposes a novel biobehavioral metric for identifying persistent depression in this population.
    neutrophil-to-lymphocyte ratio
    systemic inflammatory response