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Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study)
SIMPLE SUMMARY: We explored whether specific factors, like inflammation indicators in the blood, could help predict treatment outcomes for locally advanced cervical cancer (LACC). LACC is generally treated with a combination of chemotherapy and radiation. We wanted to see if these factors could help...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605166/ https://www.ncbi.nlm.nih.gov/pubmed/37894423 http://dx.doi.org/10.3390/cancers15205056 |
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author | Medici, Federica Ferioli, Martina Forlani, Ludovica Laghi, Viola Ma, Johnny Cilla, Savino Buwenge, Milly Macchia, Gabriella Deodato, Francesco Vadalà, Maria Malizia, Claudio Tagliaferri, Luca Perrone, Anna Myriam De Iaco, Pierandrea Strigari, Lidia Arcelli, Alessandra Morganti, Alessio Giuseppe |
author_facet | Medici, Federica Ferioli, Martina Forlani, Ludovica Laghi, Viola Ma, Johnny Cilla, Savino Buwenge, Milly Macchia, Gabriella Deodato, Francesco Vadalà, Maria Malizia, Claudio Tagliaferri, Luca Perrone, Anna Myriam De Iaco, Pierandrea Strigari, Lidia Arcelli, Alessandra Morganti, Alessio Giuseppe |
author_sort | Medici, Federica |
collection | PubMed |
description | SIMPLE SUMMARY: We explored whether specific factors, like inflammation indicators in the blood, could help predict treatment outcomes for locally advanced cervical cancer (LACC). LACC is generally treated with a combination of chemotherapy and radiation. We wanted to see if these factors could help physicians personalize treatments for better results. Our study involved looking at various aspects, including inflammation indices in the blood and various clinical treatment details, in LACC patients. While some factors, such as age and hemoglobin levels, seemed to predict outcomes, there was no clear connection between inflammation indicators in the blood and results. These findings challenge previous ideas and highlight the importance of considering multiple factors to predict the prognoses of LACC patients. ABSTRACT: Locally advanced cervical cancer (LACC) is treated with concurrent chemoradiation (CRT). Predictive models could improve the outcome through treatment personalization. Several factors influence prognosis in LACC, but the role of systemic inflammation indices (IIs) is unclear. This study aims to assess the correlation between IIs and prognosis in a large patient cohort considering several clinical data. We retrospectively analyzed pretreatment IIs (NLR, PLR, MLR, SII, LLR, COP-NLR, APRI, ALRI, SIRI, and ANRI) in 173 LACC patients. Patient, tumor, and treatment characteristics were also considered. Univariate and multivariate Cox’s regressions were conducted to assess associations between IIs and clinical factors with local control (LC), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS). Univariate analysis showed significant correlations between age, HB levels, tumor stage, FIGO stage, and CRT dose with survival outcomes. Specific pretreatment IIs (NLR, PLR, APRI, ANRI, and COP-NLR) demonstrated associations only with LC. The multivariate analysis confirmed Hb levels, CRT dose, and age as significant predictors of OS, while no II was correlated with any clinical outcome. The study findings contradict some prior research on IIs in LACC, emphasizing the need for comprehensive assessments of potential confounding variables. |
format | Online Article Text |
id | pubmed-10605166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106051662023-10-28 Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study) Medici, Federica Ferioli, Martina Forlani, Ludovica Laghi, Viola Ma, Johnny Cilla, Savino Buwenge, Milly Macchia, Gabriella Deodato, Francesco Vadalà, Maria Malizia, Claudio Tagliaferri, Luca Perrone, Anna Myriam De Iaco, Pierandrea Strigari, Lidia Arcelli, Alessandra Morganti, Alessio Giuseppe Cancers (Basel) Article SIMPLE SUMMARY: We explored whether specific factors, like inflammation indicators in the blood, could help predict treatment outcomes for locally advanced cervical cancer (LACC). LACC is generally treated with a combination of chemotherapy and radiation. We wanted to see if these factors could help physicians personalize treatments for better results. Our study involved looking at various aspects, including inflammation indices in the blood and various clinical treatment details, in LACC patients. While some factors, such as age and hemoglobin levels, seemed to predict outcomes, there was no clear connection between inflammation indicators in the blood and results. These findings challenge previous ideas and highlight the importance of considering multiple factors to predict the prognoses of LACC patients. ABSTRACT: Locally advanced cervical cancer (LACC) is treated with concurrent chemoradiation (CRT). Predictive models could improve the outcome through treatment personalization. Several factors influence prognosis in LACC, but the role of systemic inflammation indices (IIs) is unclear. This study aims to assess the correlation between IIs and prognosis in a large patient cohort considering several clinical data. We retrospectively analyzed pretreatment IIs (NLR, PLR, MLR, SII, LLR, COP-NLR, APRI, ALRI, SIRI, and ANRI) in 173 LACC patients. Patient, tumor, and treatment characteristics were also considered. Univariate and multivariate Cox’s regressions were conducted to assess associations between IIs and clinical factors with local control (LC), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS). Univariate analysis showed significant correlations between age, HB levels, tumor stage, FIGO stage, and CRT dose with survival outcomes. Specific pretreatment IIs (NLR, PLR, APRI, ANRI, and COP-NLR) demonstrated associations only with LC. The multivariate analysis confirmed Hb levels, CRT dose, and age as significant predictors of OS, while no II was correlated with any clinical outcome. The study findings contradict some prior research on IIs in LACC, emphasizing the need for comprehensive assessments of potential confounding variables. MDPI 2023-10-19 /pmc/articles/PMC10605166/ /pubmed/37894423 http://dx.doi.org/10.3390/cancers15205056 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Medici, Federica Ferioli, Martina Forlani, Ludovica Laghi, Viola Ma, Johnny Cilla, Savino Buwenge, Milly Macchia, Gabriella Deodato, Francesco Vadalà, Maria Malizia, Claudio Tagliaferri, Luca Perrone, Anna Myriam De Iaco, Pierandrea Strigari, Lidia Arcelli, Alessandra Morganti, Alessio Giuseppe Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study) |
title | Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study) |
title_full | Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study) |
title_fullStr | Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study) |
title_full_unstemmed | Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study) |
title_short | Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study) |
title_sort | decoding the complexity of systemic inflammation predictors in locally advanced cervical cancer, with hemoglobin as the hidden key (the esther study) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605166/ https://www.ncbi.nlm.nih.gov/pubmed/37894423 http://dx.doi.org/10.3390/cancers15205056 |
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