Cargando…

Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination

Introduction: Consistent association between elevated baseline serum values and C-reactive protein (CRP), cross-linked fibrin degradation products (D-dimer), lactate dehydrogenase (LDH), decreased baseline serum albumin, absolute lymphocyte count to absolute monocyte count ratio (LMR), elevated abso...

Descripción completa

Detalles Bibliográficos
Autores principales: Deme, Daniel, Kovacs, Sandor, Telekes, Andras
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842665/
https://www.ncbi.nlm.nih.gov/pubmed/35173556
http://dx.doi.org/10.3389/pore.2022.1610004
_version_ 1784651095458447360
author Deme, Daniel
Kovacs, Sandor
Telekes, Andras
author_facet Deme, Daniel
Kovacs, Sandor
Telekes, Andras
author_sort Deme, Daniel
collection PubMed
description Introduction: Consistent association between elevated baseline serum values and C-reactive protein (CRP), cross-linked fibrin degradation products (D-dimer), lactate dehydrogenase (LDH), decreased baseline serum albumin, absolute lymphocyte count to absolute monocyte count ratio (LMR), elevated absolute neutrophil count to absolute lymphocyte count ratio (NLR), elevated platelet count to absolute lymphocyte count ratio (PLR), and between some combinations of these biomarkers and the short overall survival of patients with malignant diseases has already been reported. These biomarkers are independent prognostic factors for cancer. Here, the most significant biomarker combination of these values was searched and studied in real-life advanced cancer patients of a single center. Methods: The authors retrospectively analyzed the association of the aforementioned biomarkers and their combination and OS of 75 consecutive cancer patients with locally advanced, recurrent, or metastatic diseases. Validated cut-off determination was used. Results: CRP, albumin, and PLR showed marked association with OS. Cut-off values for significant shorter OS were 30.65 mg/L (p < 0.001), 44.35 g/L (p < 0.001), and 168.20 (p < 0.001), respectively. Based on assessed biomarker cut-offs, four patient groups were created to determine whether biomarker values were out of range (ORV) compared to cut-off: 1) No ORV biomarkers (n = 24; OS = 26.07 months); 2) one ORV biomarker (n = 21; OS = 13.50 months); 3) two ORV biomarkers (n = 20; OS = 7.97 months), and 4) three ORV biomarkers (n = 10; OS = 3.91 months). Significant differences in OS were detected between the groups: For 1. vs. 2. hazard ratio (HR) = 3.0 (95% CI: 1.5–6.2), p = 0.003; for 1. vs. 3. HR = 4.1 (95% CI: 2.0–8.3), p < 0.001; and for 1. vs. 4. HR = 10.2 (95% CI: 4.2–24.6), p < 0.001. Conclusion: Based on our analysis, we can confirm that the complex monitoring of CRP, albumin, and PLR would provide a good estimation of OS. Large scale prospective studies are warranted to explore this and other useful combinations of prognostic biomarkers and their relationship to the well-established prognostic systems in real-life.
format Online
Article
Text
id pubmed-8842665
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-88426652022-02-15 Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination Deme, Daniel Kovacs, Sandor Telekes, Andras Pathol Oncol Res Pathology and Oncology Archive Introduction: Consistent association between elevated baseline serum values and C-reactive protein (CRP), cross-linked fibrin degradation products (D-dimer), lactate dehydrogenase (LDH), decreased baseline serum albumin, absolute lymphocyte count to absolute monocyte count ratio (LMR), elevated absolute neutrophil count to absolute lymphocyte count ratio (NLR), elevated platelet count to absolute lymphocyte count ratio (PLR), and between some combinations of these biomarkers and the short overall survival of patients with malignant diseases has already been reported. These biomarkers are independent prognostic factors for cancer. Here, the most significant biomarker combination of these values was searched and studied in real-life advanced cancer patients of a single center. Methods: The authors retrospectively analyzed the association of the aforementioned biomarkers and their combination and OS of 75 consecutive cancer patients with locally advanced, recurrent, or metastatic diseases. Validated cut-off determination was used. Results: CRP, albumin, and PLR showed marked association with OS. Cut-off values for significant shorter OS were 30.65 mg/L (p < 0.001), 44.35 g/L (p < 0.001), and 168.20 (p < 0.001), respectively. Based on assessed biomarker cut-offs, four patient groups were created to determine whether biomarker values were out of range (ORV) compared to cut-off: 1) No ORV biomarkers (n = 24; OS = 26.07 months); 2) one ORV biomarker (n = 21; OS = 13.50 months); 3) two ORV biomarkers (n = 20; OS = 7.97 months), and 4) three ORV biomarkers (n = 10; OS = 3.91 months). Significant differences in OS were detected between the groups: For 1. vs. 2. hazard ratio (HR) = 3.0 (95% CI: 1.5–6.2), p = 0.003; for 1. vs. 3. HR = 4.1 (95% CI: 2.0–8.3), p < 0.001; and for 1. vs. 4. HR = 10.2 (95% CI: 4.2–24.6), p < 0.001. Conclusion: Based on our analysis, we can confirm that the complex monitoring of CRP, albumin, and PLR would provide a good estimation of OS. Large scale prospective studies are warranted to explore this and other useful combinations of prognostic biomarkers and their relationship to the well-established prognostic systems in real-life. Frontiers Media S.A. 2022-01-31 /pmc/articles/PMC8842665/ /pubmed/35173556 http://dx.doi.org/10.3389/pore.2022.1610004 Text en Copyright © 2022 Deme, Kovacs and Telekes. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pathology and Oncology Archive
Deme, Daniel
Kovacs, Sandor
Telekes, Andras
Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination
title Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination
title_full Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination
title_fullStr Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination
title_full_unstemmed Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination
title_short Overall Survival Prediction of Advanced Cancer Patients by Selection of the Most Significant Baseline Serum Biomarker Combination
title_sort overall survival prediction of advanced cancer patients by selection of the most significant baseline serum biomarker combination
topic Pathology and Oncology Archive
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8842665/
https://www.ncbi.nlm.nih.gov/pubmed/35173556
http://dx.doi.org/10.3389/pore.2022.1610004
work_keys_str_mv AT demedaniel overallsurvivalpredictionofadvancedcancerpatientsbyselectionofthemostsignificantbaselineserumbiomarkercombination
AT kovacssandor overallsurvivalpredictionofadvancedcancerpatientsbyselectionofthemostsignificantbaselineserumbiomarkercombination
AT telekesandras overallsurvivalpredictionofadvancedcancerpatientsbyselectionofthemostsignificantbaselineserumbiomarkercombination