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

INTRODUCTION: Neutrophil to lymphocyte ratio (NLR) and standard uptake value (SUV) by (18)F-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 pallia...

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Autores principales: Choi, Younak, Oh, Do-Youn, Park, Hyunkyung, Kim, Tae-Yong, Lee, Kyung-Hun, Han, Sae-Won, Im, Seock-Ah, Kim, Tae-You, Bang, Yung-Jue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4699704/
https://www.ncbi.nlm.nih.gov/pubmed/26727470
http://dx.doi.org/10.1371/journal.pone.0145692
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author Choi, Younak
Oh, Do-Youn
Park, Hyunkyung
Kim, Tae-Yong
Lee, Kyung-Hun
Han, Sae-Won
Im, Seock-Ah
Kim, Tae-You
Bang, Yung-Jue
author_facet Choi, Younak
Oh, Do-Youn
Park, Hyunkyung
Kim, Tae-Yong
Lee, Kyung-Hun
Han, Sae-Won
Im, Seock-Ah
Kim, Tae-You
Bang, Yung-Jue
author_sort Choi, Younak
collection PubMed
description INTRODUCTION: Neutrophil to lymphocyte ratio (NLR) and standard uptake value (SUV) by (18)F-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<0.001). In PET cohort, NLR and SUVmax were independently prognostic for OS. Prognostication model using both NLR and SUVmax could define 4 risk groups with different OS (risk score 0 vs 1 vs 2 vs 3: OS 11.8 vs 9.8 vs 7.2 vs 4.6 months, HR 1 vs 1.536 vs 2.958 vs 5.336, respectively; P<0.001). CONCLUSIONS: NLR and SUVmax as simple parameters of host immunity and metabolic activity of tumor cell, respectively, are independent prognostic factors for OS in MPC patients undergoing palliative chemotherapy.
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spelling pubmed-46997042016-01-15 More Accurate Prediction of Metastatic Pancreatic Cancer Patients’ Survival with Prognostic Model Using Both Host Immunity and Tumor Metabolic Activity Choi, Younak Oh, Do-Youn Park, Hyunkyung Kim, Tae-Yong Lee, Kyung-Hun Han, Sae-Won Im, Seock-Ah Kim, Tae-You Bang, Yung-Jue PLoS One Research Article INTRODUCTION: Neutrophil to lymphocyte ratio (NLR) and standard uptake value (SUV) by (18)F-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<0.001). In PET cohort, NLR and SUVmax were independently prognostic for OS. Prognostication model using both NLR and SUVmax could define 4 risk groups with different OS (risk score 0 vs 1 vs 2 vs 3: OS 11.8 vs 9.8 vs 7.2 vs 4.6 months, HR 1 vs 1.536 vs 2.958 vs 5.336, respectively; P<0.001). CONCLUSIONS: NLR and SUVmax as simple parameters of host immunity and metabolic activity of tumor cell, respectively, are independent prognostic factors for OS in MPC patients undergoing palliative chemotherapy. Public Library of Science 2016-01-04 /pmc/articles/PMC4699704/ /pubmed/26727470 http://dx.doi.org/10.1371/journal.pone.0145692 Text en © 2016 Choi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
spellingShingle Research Article
Choi, Younak
Oh, Do-Youn
Park, Hyunkyung
Kim, Tae-Yong
Lee, Kyung-Hun
Han, Sae-Won
Im, Seock-Ah
Kim, Tae-You
Bang, Yung-Jue
More Accurate Prediction of Metastatic Pancreatic Cancer Patients’ Survival with Prognostic Model Using Both Host Immunity and Tumor Metabolic Activity
title More Accurate Prediction of Metastatic Pancreatic Cancer Patients’ Survival with Prognostic Model Using Both Host Immunity and Tumor Metabolic Activity
title_full More Accurate Prediction of Metastatic Pancreatic Cancer Patients’ Survival with Prognostic Model Using Both Host Immunity and Tumor Metabolic Activity
title_fullStr More Accurate Prediction of Metastatic Pancreatic Cancer Patients’ Survival with Prognostic Model Using Both Host Immunity and Tumor Metabolic Activity
title_full_unstemmed More Accurate Prediction of Metastatic Pancreatic Cancer Patients’ Survival with Prognostic Model Using Both Host Immunity and Tumor Metabolic Activity
title_short More Accurate Prediction of Metastatic Pancreatic Cancer Patients’ Survival with Prognostic Model Using Both Host Immunity and Tumor Metabolic Activity
title_sort more accurate prediction of metastatic pancreatic cancer patients’ survival with prognostic model using both host immunity and tumor metabolic activity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4699704/
https://www.ncbi.nlm.nih.gov/pubmed/26727470
http://dx.doi.org/10.1371/journal.pone.0145692
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