Cargando…

Metabolic Determinants and Anthropometric Indicators Impact Clinical-pathological Features in Epithelial Ovarian Cancer Patients

Background: Over the last twenty years, the efforts of the scientific community devoted to the comprehension and treatment of ovarian cancer have remained poorly remunerative, with the case-fatality ratio of this disease remaining disappointedly high. Limited knowledge of the basic principles regula...

Descripción completa

Detalles Bibliográficos
Autores principales: Vici, Patrizia, Pizzuti, Laura, Di Lauro, Luigi, Conti, Laura, Mandoj, Chiara, Antenucci, Anna, Digiesi, Giovanna, Sergi, Domenico, Amodio, Antonella, Marchetti, Paolo, Sperati, Francesca, Valle, Mario, Garofalo, Alfredo, Vizza, Enrico, Corrado, Giacomo, Vincenzoni, Cristina, Tomao, Federica, Kayal, Ramy, Marsella, Annalise, Carosi, Mariantonia, Antoniani, Barbara, Giordano, Antonio, Maugeri-Saccà, Marcello, Barba, Maddalena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4780127/
https://www.ncbi.nlm.nih.gov/pubmed/26958087
http://dx.doi.org/10.7150/jca.13578
_version_ 1782419721431285760
author Vici, Patrizia
Pizzuti, Laura
Di Lauro, Luigi
Conti, Laura
Mandoj, Chiara
Antenucci, Anna
Digiesi, Giovanna
Sergi, Domenico
Amodio, Antonella
Marchetti, Paolo
Sperati, Francesca
Valle, Mario
Garofalo, Alfredo
Vizza, Enrico
Corrado, Giacomo
Vincenzoni, Cristina
Tomao, Federica
Kayal, Ramy
Marsella, Annalise
Carosi, Mariantonia
Antoniani, Barbara
Giordano, Antonio
Maugeri-Saccà, Marcello
Barba, Maddalena
author_facet Vici, Patrizia
Pizzuti, Laura
Di Lauro, Luigi
Conti, Laura
Mandoj, Chiara
Antenucci, Anna
Digiesi, Giovanna
Sergi, Domenico
Amodio, Antonella
Marchetti, Paolo
Sperati, Francesca
Valle, Mario
Garofalo, Alfredo
Vizza, Enrico
Corrado, Giacomo
Vincenzoni, Cristina
Tomao, Federica
Kayal, Ramy
Marsella, Annalise
Carosi, Mariantonia
Antoniani, Barbara
Giordano, Antonio
Maugeri-Saccà, Marcello
Barba, Maddalena
author_sort Vici, Patrizia
collection PubMed
description Background: Over the last twenty years, the efforts of the scientific community devoted to the comprehension and treatment of ovarian cancer have remained poorly remunerative, with the case-fatality ratio of this disease remaining disappointedly high. Limited knowledge of the basic principles regulating ovarian carcinogenesis and factors impacting the course of disease may significantly impair our ability to intervene in early stages and lessen our expectations in terms of treatment outcomes. In the present study, we sought to assess whether metabolic factors and anthropometric indicators, i.e., pre-treatment fasting glucose and body mass index, are associated with renown cancer related prognostic factors such as tumour stage and grade at diagnosis. Materials and Methods: Study participants were 147 women diagnosed with epithelial ovarian cancer and treated with platinum based regimens and/or surgery at the Regina Elena National Cancer Institute of Rome, Italy. Glucose levels were assessed at the institutional laboratories on venous blood collected in overnight fasting conditions and prior to any therapeutic procedure. Stage was coded according to the FIGO staging system based on the results of the diagnostic workup, while tumour grade was locally assessed by an expert pathologist. Participants' characteristics were descriptively analyzed for the overall study population and in a subgroup of 70 patients for whom data on body mass index (BMI) were available. FIGO stage and grade were compared by categories of pre-treatment fasting glucose defined upon the median value, i.e., 89 mg/dl. The association of interest was tested in regression models including BMI. Results: For the overall study population, patients in the lowest category of fasting glucose were significantly more likely to exhibit a FIGO stage III-IV at diagnosis compared with their counterpart in the highest glucose category (81.3 vs 66.7%, p: 0.021). Subgroup analysis in 70 patients with BMI data confirmed this association (81.5 vs 55.8, p: 0.049), which remained significant when tested in regression models including BMI (OR: 0.28 95% CI 0.086-0.89, p: 0.031). No relevant evidence emerged when testing the association between fasting glucose and tumour grade. Conclusions: In patients diagnosed with epithelial ovarian cancer, pre-treatment glucose levels appear to be inversely associated with FIGO stage. Further studies are warranted to eventually confirm and correctly interpret the implications of this novel finding.
format Online
Article
Text
id pubmed-4780127
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Ivyspring International Publisher
record_format MEDLINE/PubMed
spelling pubmed-47801272016-03-08 Metabolic Determinants and Anthropometric Indicators Impact Clinical-pathological Features in Epithelial Ovarian Cancer Patients Vici, Patrizia Pizzuti, Laura Di Lauro, Luigi Conti, Laura Mandoj, Chiara Antenucci, Anna Digiesi, Giovanna Sergi, Domenico Amodio, Antonella Marchetti, Paolo Sperati, Francesca Valle, Mario Garofalo, Alfredo Vizza, Enrico Corrado, Giacomo Vincenzoni, Cristina Tomao, Federica Kayal, Ramy Marsella, Annalise Carosi, Mariantonia Antoniani, Barbara Giordano, Antonio Maugeri-Saccà, Marcello Barba, Maddalena J Cancer Research Paper Background: Over the last twenty years, the efforts of the scientific community devoted to the comprehension and treatment of ovarian cancer have remained poorly remunerative, with the case-fatality ratio of this disease remaining disappointedly high. Limited knowledge of the basic principles regulating ovarian carcinogenesis and factors impacting the course of disease may significantly impair our ability to intervene in early stages and lessen our expectations in terms of treatment outcomes. In the present study, we sought to assess whether metabolic factors and anthropometric indicators, i.e., pre-treatment fasting glucose and body mass index, are associated with renown cancer related prognostic factors such as tumour stage and grade at diagnosis. Materials and Methods: Study participants were 147 women diagnosed with epithelial ovarian cancer and treated with platinum based regimens and/or surgery at the Regina Elena National Cancer Institute of Rome, Italy. Glucose levels were assessed at the institutional laboratories on venous blood collected in overnight fasting conditions and prior to any therapeutic procedure. Stage was coded according to the FIGO staging system based on the results of the diagnostic workup, while tumour grade was locally assessed by an expert pathologist. Participants' characteristics were descriptively analyzed for the overall study population and in a subgroup of 70 patients for whom data on body mass index (BMI) were available. FIGO stage and grade were compared by categories of pre-treatment fasting glucose defined upon the median value, i.e., 89 mg/dl. The association of interest was tested in regression models including BMI. Results: For the overall study population, patients in the lowest category of fasting glucose were significantly more likely to exhibit a FIGO stage III-IV at diagnosis compared with their counterpart in the highest glucose category (81.3 vs 66.7%, p: 0.021). Subgroup analysis in 70 patients with BMI data confirmed this association (81.5 vs 55.8, p: 0.049), which remained significant when tested in regression models including BMI (OR: 0.28 95% CI 0.086-0.89, p: 0.031). No relevant evidence emerged when testing the association between fasting glucose and tumour grade. Conclusions: In patients diagnosed with epithelial ovarian cancer, pre-treatment glucose levels appear to be inversely associated with FIGO stage. Further studies are warranted to eventually confirm and correctly interpret the implications of this novel finding. Ivyspring International Publisher 2016-02-10 /pmc/articles/PMC4780127/ /pubmed/26958087 http://dx.doi.org/10.7150/jca.13578 Text en © Ivyspring International Publisher. Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. See http://ivyspring.com/terms for terms and conditions.
spellingShingle Research Paper
Vici, Patrizia
Pizzuti, Laura
Di Lauro, Luigi
Conti, Laura
Mandoj, Chiara
Antenucci, Anna
Digiesi, Giovanna
Sergi, Domenico
Amodio, Antonella
Marchetti, Paolo
Sperati, Francesca
Valle, Mario
Garofalo, Alfredo
Vizza, Enrico
Corrado, Giacomo
Vincenzoni, Cristina
Tomao, Federica
Kayal, Ramy
Marsella, Annalise
Carosi, Mariantonia
Antoniani, Barbara
Giordano, Antonio
Maugeri-Saccà, Marcello
Barba, Maddalena
Metabolic Determinants and Anthropometric Indicators Impact Clinical-pathological Features in Epithelial Ovarian Cancer Patients
title Metabolic Determinants and Anthropometric Indicators Impact Clinical-pathological Features in Epithelial Ovarian Cancer Patients
title_full Metabolic Determinants and Anthropometric Indicators Impact Clinical-pathological Features in Epithelial Ovarian Cancer Patients
title_fullStr Metabolic Determinants and Anthropometric Indicators Impact Clinical-pathological Features in Epithelial Ovarian Cancer Patients
title_full_unstemmed Metabolic Determinants and Anthropometric Indicators Impact Clinical-pathological Features in Epithelial Ovarian Cancer Patients
title_short Metabolic Determinants and Anthropometric Indicators Impact Clinical-pathological Features in Epithelial Ovarian Cancer Patients
title_sort metabolic determinants and anthropometric indicators impact clinical-pathological features in epithelial ovarian cancer patients
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4780127/
https://www.ncbi.nlm.nih.gov/pubmed/26958087
http://dx.doi.org/10.7150/jca.13578
work_keys_str_mv AT vicipatrizia metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT pizzutilaura metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT dilauroluigi metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT contilaura metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT mandojchiara metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT antenuccianna metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT digiesigiovanna metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT sergidomenico metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT amodioantonella metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT marchettipaolo metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT speratifrancesca metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT vallemario metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT garofaloalfredo metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT vizzaenrico metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT corradogiacomo metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT vincenzonicristina metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT tomaofederica metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT kayalramy metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT marsellaannalise metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT carosimariantonia metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT antonianibarbara metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT giordanoantonio metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT maugerisaccamarcello metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients
AT barbamaddalena metabolicdeterminantsandanthropometricindicatorsimpactclinicalpathologicalfeaturesinepithelialovariancancerpatients