Cargando…
Development of Nomogram Models Based on Peripheral Blood Score and Clinicopathological Parameters to Predict Preoperative Advanced Stage and Prognosis for Epithelial Ovarian Cancer Patients
PURPOSE: Nutritional and inflammatory states are crucial in cancer development. The purpose of this study is to construct a scoring system grounded on peripheral blood parameters associated with nutrition and inflammation and explore its value in stage, overall survival (OS), and progression-free su...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064492/ https://www.ncbi.nlm.nih.gov/pubmed/37006810 http://dx.doi.org/10.2147/JIR.S401451 |
_version_ | 1785017904971907072 |
---|---|
author | Bai, Gaigai Zhou, Yue Rong, Qing Qiao, Sijing Mao, Hongluan Liu, Peishu |
author_facet | Bai, Gaigai Zhou, Yue Rong, Qing Qiao, Sijing Mao, Hongluan Liu, Peishu |
author_sort | Bai, Gaigai |
collection | PubMed |
description | PURPOSE: Nutritional and inflammatory states are crucial in cancer development. The purpose of this study is to construct a scoring system grounded on peripheral blood parameters associated with nutrition and inflammation and explore its value in stage, overall survival (OS), and progression-free survival (PFS) prediction for epithelial ovarian cancer (EOC) patients. PATIENTS AND METHODS: Four hundred and fifty-three EOC patients were retrospectively identified and their clinical data and relevant peripheral blood parameters were collected. The ratio of neutrophil to lymphocyte, lymphocyte to monocyte, fibrinogen to lymphocyte, total cholesterol to lymphocyte and albumin level were calculated and dichotomized. A scoring system named peripheral blood score (PBS) was constructed. Univariate and multivariate Logistic or Cox regression analyses were used to select independent factors; these factors were then used to develop nomogram models of advanced stage and OS, PFS, respectively. The internal validation and DCA analysis were performed to evaluate models. RESULTS: Lower PBS indicated a better prognosis and higher PBS indicated inferior. High PBS is associated with advanced stage, high CA125, serous histological type, poor differentiation, and accompanied ascites. The logistic regression showed age, CA125, and PBS were independent factors for the FIGO III–IV stage. The nomogram models for advanced FIGO stage based on these factors showed good efficiency. FIGO stage, residual disease, and PBS were independent factors affecting OS and PFS, the nomogram models composed of these factors had good performance. DCA curves revealed the models augmented net benefits. CONCLUSION: PBS can be a noninvasive biomarker for EOC patients’ prognosis. The related nomogram models could be powerful, cost-effective tools to provide information of advanced stage, OS, and PFS for EOC patients. |
format | Online Article Text |
id | pubmed-10064492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-100644922023-04-01 Development of Nomogram Models Based on Peripheral Blood Score and Clinicopathological Parameters to Predict Preoperative Advanced Stage and Prognosis for Epithelial Ovarian Cancer Patients Bai, Gaigai Zhou, Yue Rong, Qing Qiao, Sijing Mao, Hongluan Liu, Peishu J Inflamm Res Original Research PURPOSE: Nutritional and inflammatory states are crucial in cancer development. The purpose of this study is to construct a scoring system grounded on peripheral blood parameters associated with nutrition and inflammation and explore its value in stage, overall survival (OS), and progression-free survival (PFS) prediction for epithelial ovarian cancer (EOC) patients. PATIENTS AND METHODS: Four hundred and fifty-three EOC patients were retrospectively identified and their clinical data and relevant peripheral blood parameters were collected. The ratio of neutrophil to lymphocyte, lymphocyte to monocyte, fibrinogen to lymphocyte, total cholesterol to lymphocyte and albumin level were calculated and dichotomized. A scoring system named peripheral blood score (PBS) was constructed. Univariate and multivariate Logistic or Cox regression analyses were used to select independent factors; these factors were then used to develop nomogram models of advanced stage and OS, PFS, respectively. The internal validation and DCA analysis were performed to evaluate models. RESULTS: Lower PBS indicated a better prognosis and higher PBS indicated inferior. High PBS is associated with advanced stage, high CA125, serous histological type, poor differentiation, and accompanied ascites. The logistic regression showed age, CA125, and PBS were independent factors for the FIGO III–IV stage. The nomogram models for advanced FIGO stage based on these factors showed good efficiency. FIGO stage, residual disease, and PBS were independent factors affecting OS and PFS, the nomogram models composed of these factors had good performance. DCA curves revealed the models augmented net benefits. CONCLUSION: PBS can be a noninvasive biomarker for EOC patients’ prognosis. The related nomogram models could be powerful, cost-effective tools to provide information of advanced stage, OS, and PFS for EOC patients. Dove 2023-03-23 /pmc/articles/PMC10064492/ /pubmed/37006810 http://dx.doi.org/10.2147/JIR.S401451 Text en © 2023 Bai et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Bai, Gaigai Zhou, Yue Rong, Qing Qiao, Sijing Mao, Hongluan Liu, Peishu Development of Nomogram Models Based on Peripheral Blood Score and Clinicopathological Parameters to Predict Preoperative Advanced Stage and Prognosis for Epithelial Ovarian Cancer Patients |
title | Development of Nomogram Models Based on Peripheral Blood Score and Clinicopathological Parameters to Predict Preoperative Advanced Stage and Prognosis for Epithelial Ovarian Cancer Patients |
title_full | Development of Nomogram Models Based on Peripheral Blood Score and Clinicopathological Parameters to Predict Preoperative Advanced Stage and Prognosis for Epithelial Ovarian Cancer Patients |
title_fullStr | Development of Nomogram Models Based on Peripheral Blood Score and Clinicopathological Parameters to Predict Preoperative Advanced Stage and Prognosis for Epithelial Ovarian Cancer Patients |
title_full_unstemmed | Development of Nomogram Models Based on Peripheral Blood Score and Clinicopathological Parameters to Predict Preoperative Advanced Stage and Prognosis for Epithelial Ovarian Cancer Patients |
title_short | Development of Nomogram Models Based on Peripheral Blood Score and Clinicopathological Parameters to Predict Preoperative Advanced Stage and Prognosis for Epithelial Ovarian Cancer Patients |
title_sort | development of nomogram models based on peripheral blood score and clinicopathological parameters to predict preoperative advanced stage and prognosis for epithelial ovarian cancer patients |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064492/ https://www.ncbi.nlm.nih.gov/pubmed/37006810 http://dx.doi.org/10.2147/JIR.S401451 |
work_keys_str_mv | AT baigaigai developmentofnomogrammodelsbasedonperipheralbloodscoreandclinicopathologicalparameterstopredictpreoperativeadvancedstageandprognosisforepithelialovariancancerpatients AT zhouyue developmentofnomogrammodelsbasedonperipheralbloodscoreandclinicopathologicalparameterstopredictpreoperativeadvancedstageandprognosisforepithelialovariancancerpatients AT rongqing developmentofnomogrammodelsbasedonperipheralbloodscoreandclinicopathologicalparameterstopredictpreoperativeadvancedstageandprognosisforepithelialovariancancerpatients AT qiaosijing developmentofnomogrammodelsbasedonperipheralbloodscoreandclinicopathologicalparameterstopredictpreoperativeadvancedstageandprognosisforepithelialovariancancerpatients AT maohongluan developmentofnomogrammodelsbasedonperipheralbloodscoreandclinicopathologicalparameterstopredictpreoperativeadvancedstageandprognosisforepithelialovariancancerpatients AT liupeishu developmentofnomogrammodelsbasedonperipheralbloodscoreandclinicopathologicalparameterstopredictpreoperativeadvancedstageandprognosisforepithelialovariancancerpatients |