New model to predict survival in advanced pancreatic ductal adenocarcinoma patients by measuring GGT and LDH levels and monocyte count
IntroductionPancreatic ductal adenocarcinoma (PDAC) is a lethal cancer with a poor survival outcome. Predicting patient survival allows physicians to tailor treatments to specific individuals. Thus, a simple and cost-effective prognosis model is sorely needed.MethodsThis retrospective study assesses...
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Frontiers Media S.A.
2024-10-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1411096/full |
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| author | Rocío del Campo-Pedrosa Rocío del Campo-Pedrosa Alfonso Martín-Carnicero Ana González-Marcos Alfredo Martínez |
| author_facet | Rocío del Campo-Pedrosa Rocío del Campo-Pedrosa Alfonso Martín-Carnicero Ana González-Marcos Alfredo Martínez |
| author_sort | Rocío del Campo-Pedrosa |
| collection | DOAJ |
| description | IntroductionPancreatic ductal adenocarcinoma (PDAC) is a lethal cancer with a poor survival outcome. Predicting patient survival allows physicians to tailor treatments to specific individuals. Thus, a simple and cost-effective prognosis model is sorely needed.MethodsThis retrospective study assesses the prognostic value of blood biomarkers in advanced and metastatic PDAC patients (n=96) from Spain. Cut-off points for hematological parameters were calculated and correlated with overall survival (OS) using Kaplan-Meier, log-rank test, robust Cox proportional hazards and logistic regressions.ResultsIn univariate analysis, individuals with low levels of GGT, LDH, ALP, leukocyte-, neutrophil- and monocyte counts showed significantly longer survival than patients with higher levels. In multivariate analysis, lower levels of GGT (HR (95%CI), 2.734 (1.223-6.111); p=0.014), LDH (HR (95%CI), 1.876 (1.035-3.400); p=0.038) and monocyte count (HR (95%CI), 1.657 (1.095-2.506); p = 0.017) remained significantly beneficial. In consequence, we propose a prognostic model based on logistic regression (AUC=0.741) of these three biomarkers as a pioneer tool to estimate OS in PDAC.ConclusionThis study has demonstrated that the joint use of GGT (<92.00), LDH (<220.00) and monocyte count (<800) are independent positive prognostic factors in PDAC that can predict one-year survival in a novel prognostic logistic model. |
| format | Article |
| id | doaj-art-4a5da861763f40d49f39b538b92a0c61 |
| institution | Kabale University |
| issn | 2234-943X |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj-art-4a5da861763f40d49f39b538b92a0c612025-01-15T11:41:36ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2024-10-011410.3389/fonc.2024.14110961411096New model to predict survival in advanced pancreatic ductal adenocarcinoma patients by measuring GGT and LDH levels and monocyte countRocío del Campo-Pedrosa0Rocío del Campo-Pedrosa1Alfonso Martín-Carnicero2Ana González-Marcos3Alfredo Martínez4Data Department, Encore Lab S.L., Logroño, SpainDepartment of Mechanical Engineering, Universidad de La Rioja, Logroño, SpainMedical Oncology Department, Hospital San Pedro, Logroño, SpainDepartment of Mechanical Engineering, Universidad de La Rioja, Logroño, SpainAngiogenesis Group, Center for Biomedical Research of La Rioja (CIBIR), Logroño, SpainIntroductionPancreatic ductal adenocarcinoma (PDAC) is a lethal cancer with a poor survival outcome. Predicting patient survival allows physicians to tailor treatments to specific individuals. Thus, a simple and cost-effective prognosis model is sorely needed.MethodsThis retrospective study assesses the prognostic value of blood biomarkers in advanced and metastatic PDAC patients (n=96) from Spain. Cut-off points for hematological parameters were calculated and correlated with overall survival (OS) using Kaplan-Meier, log-rank test, robust Cox proportional hazards and logistic regressions.ResultsIn univariate analysis, individuals with low levels of GGT, LDH, ALP, leukocyte-, neutrophil- and monocyte counts showed significantly longer survival than patients with higher levels. In multivariate analysis, lower levels of GGT (HR (95%CI), 2.734 (1.223-6.111); p=0.014), LDH (HR (95%CI), 1.876 (1.035-3.400); p=0.038) and monocyte count (HR (95%CI), 1.657 (1.095-2.506); p = 0.017) remained significantly beneficial. In consequence, we propose a prognostic model based on logistic regression (AUC=0.741) of these three biomarkers as a pioneer tool to estimate OS in PDAC.ConclusionThis study has demonstrated that the joint use of GGT (<92.00), LDH (<220.00) and monocyte count (<800) are independent positive prognostic factors in PDAC that can predict one-year survival in a novel prognostic logistic model.https://www.frontiersin.org/articles/10.3389/fonc.2024.1411096/fullprognosis modelprognostic biomarkersoverall survivalgamma glutamyl transferase (GGT)lactate dehydrogenase (LDH)advanced and metastatic pancreatic cancer |
| spellingShingle | Rocío del Campo-Pedrosa Rocío del Campo-Pedrosa Alfonso Martín-Carnicero Ana González-Marcos Alfredo Martínez New model to predict survival in advanced pancreatic ductal adenocarcinoma patients by measuring GGT and LDH levels and monocyte count Frontiers in Oncology prognosis model prognostic biomarkers overall survival gamma glutamyl transferase (GGT) lactate dehydrogenase (LDH) advanced and metastatic pancreatic cancer |
| title | New model to predict survival in advanced pancreatic ductal adenocarcinoma patients by measuring GGT and LDH levels and monocyte count |
| title_full | New model to predict survival in advanced pancreatic ductal adenocarcinoma patients by measuring GGT and LDH levels and monocyte count |
| title_fullStr | New model to predict survival in advanced pancreatic ductal adenocarcinoma patients by measuring GGT and LDH levels and monocyte count |
| title_full_unstemmed | New model to predict survival in advanced pancreatic ductal adenocarcinoma patients by measuring GGT and LDH levels and monocyte count |
| title_short | New model to predict survival in advanced pancreatic ductal adenocarcinoma patients by measuring GGT and LDH levels and monocyte count |
| title_sort | new model to predict survival in advanced pancreatic ductal adenocarcinoma patients by measuring ggt and ldh levels and monocyte count |
| topic | prognosis model prognostic biomarkers overall survival gamma glutamyl transferase (GGT) lactate dehydrogenase (LDH) advanced and metastatic pancreatic cancer |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2024.1411096/full |
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