Are Calculated Immune Markers with or Without Comorbidities Good Predictors of Colorectal Cancer Survival? The Results of a Longitudinal Study

  • 0Division of Oncology, Department of Internal Medicine and Oncology, Semmelweis University, 1082 Budapest, Hungary.

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Summary

This summary is machine-generated.

Longitudinal evaluation of Pan-immune inflammation value (PIV), prognostic nutritional index (PNI), and systemic immune-inflammation index (SII) in colorectal cancer (CRC) patients reveals their prognostic value. Pathological alterations in these markers over time indicate poor prognosis and aid in early detection.

Area Of Science

  • Oncology
  • Biomarker Research
  • Clinical Pathology

Background

  • Prognostic biomarkers for colorectal cancer (CRC) are numerous, yet longitudinal evaluations are scarce.
  • Routine laboratory markers offer potential for developing dynamic prognostic tools.

Purpose Of The Study

  • To investigate longitudinal changes in biomarkers derived from routine lab tests in CRC patients.
  • To assess the relationship between these biomarker changes and comorbidities.

Main Methods

  • Retrospective longitudinal observational study of 817 CRC patients with 4542 measurements.
  • Calculation of Pan-immune inflammation value (PIV), prognostic nutritional index (PNI), and systemic immune-inflammation index (SII) from complete blood count and albumin data.

Main Results

  • Survivors showed stable PIV and SII, and slowly decreasing PNI. Patients with CRC-related death exhibited significantly higher PIV/SII and lower PNI (p < 0.0001).
  • Changes in PIV, SII, and PNI towards pathological values were identified as poor prognostic indicators (p < 0.0001).
  • Metastasis, chemotherapy, and hypertension significantly influenced these biomarker values.

Conclusions

  • PIV, PNI, and SII are suitable for longitudinal monitoring in CRC patients.
  • Pathological alterations in these markers over time are valuable prognostic indicators.
  • These markers may aid in the early detection of clinicopathological parameters.