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More Accurate Prediction of Metastatic Pancreatic Cancer Patients’ Survival with Prognostic Model Using Both Host Immunity and Tumor Metabolic Activity

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  • Younak Choi
  • Do-Youn Oh
  • Hyunkyung Park
  • Tae-Yong Kim
  • Kyung-Hun Lee
  • Sae-Won Han
  • Seock-Ah Im
  • Tae-You Kim
  • Yung-Jue Bang

Abstract

Introduction: Neutrophil to lymphocyte ratio (NLR) and standard uptake value (SUV) by 18F-FDG PET represent host immunity and tumor metabolic activity, respectively. We investigated NLR and maximum SUV (SUVmax) as prognostic markers in metastatic pancreatic cancer (MPC) patients who receive palliative chemotherapy. Methods: We reviewed 396 MPC patients receiving palliative chemotherapy. NLR was obtained before and after the first cycle of chemotherapy. In 118 patients with PET prior to chemotherapy, SUVmax was collected. Cut-off values were determined by ROC curve. Results: In multivariate analysis of all patients, NLR and change in NLR after the first cycle of chemotherapy (ΔNLR) were independent prognostic factors for overall survival (OS). We scored the risk considering NLR and ΔNLR and identified 4 risk groups with different prognosis (risk score 0 vs 1 vs 2 vs 3: OS 9.7 vs 7.9 vs 5.7 vs 2.6 months, HR 1 vs 1.329 vs 2.137 vs 7.915, respectively; P

Suggested Citation

  • Younak Choi & Do-Youn Oh & Hyunkyung Park & Tae-Yong Kim & Kyung-Hun Lee & Sae-Won Han & Seock-Ah Im & Tae-You Kim & Yung-Jue Bang, 2016. "More Accurate Prediction of Metastatic Pancreatic Cancer Patients’ Survival with Prognostic Model Using Both Host Immunity and Tumor Metabolic Activity," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-11, January.
    • Handle: RePEc:plo:pone00:0145692
    DOI: 10.1371/journal.pone.0145692
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