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.

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. - In: CANCERS. - ISSN 2072-6694. - ELETTRONICO. - 15:20(2023), pp. 5056.1-5056.15. [10.3390/cancers15205056]

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;Buwenge, Milly;Perrone, Anna Myriam;De Iaco, Pierandrea;Arcelli, Alessandra;Morganti, Alessio Giuseppe
2023

Abstract

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.
2023
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. - In: CANCERS. - ISSN 2072-6694. - ELETTRONICO. - 15:20(2023), pp. 5056.1-5056.15. [10.3390/cancers15205056]
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
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/955385
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