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1.
Sci Rep ; 10(1): 2213, 2020 02 10.
Artículo en Inglés | MEDLINE | ID: mdl-32042020

RESUMEN

Pre-operative discrimination of malignant masses is crucial for accurate diagnosis and prompt referral to a gynae oncology centre for optimal surgical intervention. HGSOC progression is correlated with local and systemic inflammation. We hypothesised that inclusion of inflammatory biomarkers in sera may improve diagnostic tests. In the training cohort, we tested four existing clinical tests (RMI score and ROMA, CA125 and HE4) and a panel of 28 immune soluble biomarkers in sera from 66 patients undergoing surgery for suspected ovarian cancer. Six promising immune biomarkers alone, or in combination with conventional tests, were subsequently analysed in an independent validation cohort (n = 69). IL-6 was identified as the main driver of variability followed closely by conventional diagnostic tests. Median sera IL-6 was higher in HGSOC patients compared to those with a benign mass or controls with normal ovaries (28.3 vs 7.3 vs 1.2 pg/ml, p < 0.0001). The combination of IL-6 further improved the overall predictive probability of the conventional tests. Modelling a two-step triage of women with a suspicious ovarian mass, with IL-6 > 3.75 pg/ml as primary triage followed by conventional tests (CA125 or RMI score) identified ovarian cancer in patients with a misclassification rate of 4.54-3.03%, superior to the use of CA125 or RMI alone (9.09 to 10.60). The validation cohort demonstrated a similar improvement in the diagnostic sensitivity following addition of IL-6. IL-6 in combination with conventional tests may be a useful clinical biomarker for triage of patients with a suspected malignant ovarian mass.


Asunto(s)
Biomarcadores de Tumor/sangre , Carcinoma Epitelial de Ovario/diagnóstico , Interleucina-6/sangre , Neoplasias Ováricas/diagnóstico , Triaje/métodos , Adulto , Anciano , Anciano de 80 o más Años , Carcinoma Epitelial de Ovario/sangre , Carcinoma Epitelial de Ovario/patología , Carcinoma Epitelial de Ovario/cirugía , Femenino , Humanos , Persona de Mediana Edad , Clasificación del Tumor , Neoplasias Ováricas/sangre , Neoplasias Ováricas/patología , Neoplasias Ováricas/cirugía , Ovariectomía , Ovario/patología , Ovario/cirugía , Valor Predictivo de las Pruebas , Periodo Preoperatorio , Pronóstico
3.
Clin Immunol ; 149(1): 97-110, 2013 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-23948613

RESUMEN

Ovarian cancer is a prevalent gynecological malignancy with potent immune-suppression capabilities; regulatory T cells (Tregs) are significant contributors to this immune-suppression. As ovarian cancer patients present with high levels of TNF and Tregs expressing TNFR2 are associated with maximal suppressive capacity, we investigated TNFR2+ Tregs within these patients. Indeed, TNFR2+ Tregs from tumor-associated ascites were the most potent suppressor T cell fraction. They were abundantly present within the ascites and more suppressive than peripheral blood TNFR2+ Tregs in patients. The increased suppressive capacity can be explained by a distinct cell surface expression profile, which includes high levels of CD39, CD73, TGF-ß and GARP. Additionally, CD73 expression level on TNFR2+ Tregs was inversely correlated with IFN-γ production by effector T cells. This Treg fraction can be selectively recruited into the ascites from the peripheral blood of patients. Targeting TNFR2+ Tregs may offer new approaches to enhance the poor survival rates of ovarian cancer.


Asunto(s)
Neoplasias Ováricas/inmunología , Receptores Tipo II del Factor de Necrosis Tumoral/inmunología , Linfocitos T Reguladores/inmunología , Microambiente Tumoral/inmunología , 5'-Nucleotidasa/inmunología , Anciano , Antígenos CD/inmunología , Apirasa/inmunología , Ascitis/inmunología , Antígeno CTLA-4/inmunología , Citocinas/inmunología , Femenino , Factores de Transcripción Forkhead/inmunología , Proteínas Ligadas a GPI/inmunología , Humanos , Leucocitos Mononucleares/citología , Leucocitos Mononucleares/inmunología , Proteínas de la Membrana/inmunología , Persona de Mediana Edad
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