OBJECTIVES: Tumor infiltrating lymphocytes (TILs) and T regulatory cells (Tregs) have been associated with prognosis in ovarian cancer, but their prognostic significance in ascites has not been studied. We performed a prospective study of T lymphocytes isolated from ascites from patients with ovarian carcinoma and we compared them with the respective populations in blood and tumors. METHODS: Mononuclear cells from ascites (n=71) and blood were isolated by Ficoll, while tumor lymphocytes (n=20) were obtained upon mechanical dissociation. Phenotypic analysis was performed with flow cytometry. Ascites from 10 patients with cirrhosis was used as control. RESULTS: Tregs containing CD4(+)CD25(+) cells, NK-T containing CD3(+)CD56(+) cells and CD69 and HLADR expression of CD4 and CD8 lymphocytes were significantly increased in tumor ascites compared to blood and control ascites. A selective accumulation of these populations in the ascites of cancer patients, was suggested by the significantly higher ascites/blood (A/B) ratios in cancer patients but not controls. Cancer cell content in ascites was correlated with CD4(+)CD25(+), CD4(+)CD69(+), CD4(+)HLADR(+) and CD8(+)CD69(+) cells. There was no correlation of lymphocyte populations between ascites and samples from peritoneal metastases. Higher tumor grade was associated with increased A/B CD4(+)CD25(+) ratio and reduced CD3(+)CD56(+) cells, while platinum resistance was associated with reduced A/B CD3(+)CD56(+) ratio. CONCLUSIONS: There are significant differences of CD3(+)CD56(+) and CD25(+)CD4(+) lymphocytes and increase in lymphocyte activation between blood, ascites and peritoneal metastases from patients with ovarian cancer. The selective accumulation of CD3(+)CD56(+) population in ascites may be a predictive factor for platinum resistance.
OBJECTIVES:Tumor infiltrating lymphocytes (TILs) and T regulatory cells (Tregs) have been associated with prognosis in ovarian cancer, but their prognostic significance in ascites has not been studied. We performed a prospective study of T lymphocytes isolated from ascites from patients with ovarian carcinoma and we compared them with the respective populations in blood and tumors. METHODS: Mononuclear cells from ascites (n=71) and blood were isolated by Ficoll, while tumor lymphocytes (n=20) were obtained upon mechanical dissociation. Phenotypic analysis was performed with flow cytometry. Ascites from 10 patients with cirrhosis was used as control. RESULTS: Tregs containing CD4(+)CD25(+) cells, NK-T containing CD3(+)CD56(+) cells and CD69 and HLADR expression of CD4 and CD8 lymphocytes were significantly increased in tumor ascites compared to blood and control ascites. A selective accumulation of these populations in the ascites of cancerpatients, was suggested by the significantly higher ascites/blood (A/B) ratios in cancerpatients but not controls. Cancer cell content in ascites was correlated with CD4(+)CD25(+), CD4(+)CD69(+), CD4(+)HLADR(+) and CD8(+)CD69(+) cells. There was no correlation of lymphocyte populations between ascites and samples from peritoneal metastases. Higher tumor grade was associated with increased A/B CD4(+)CD25(+) ratio and reduced CD3(+)CD56(+) cells, while platinum resistance was associated with reduced A/B CD3(+)CD56(+) ratio. CONCLUSIONS: There are significant differences of CD3(+)CD56(+) and CD25(+)CD4(+) lymphocytes and increase in lymphocyte activation between blood, ascites and peritoneal metastases from patients with ovarian cancer. The selective accumulation of CD3(+)CD56(+) population in ascites may be a predictive factor for platinum resistance.
Authors: Jessica Vazquez; Melina Chavarria; Gladys E Lopez; Mildred A Felder; Arvinder Kapur; Antonio Romo Chavez; Nathan Karst; Lisa Barroilhet; Manish S Patankar; Aleksandar K Stanic Journal: Am J Reprod Immunol Date: 2020-06-30 Impact factor: 3.886
Authors: N G Gavalas; M Tsiatas; O Tsitsilonis; E Politi; K Ioannou; A C Ziogas; A Rodolakis; G Vlahos; N Thomakos; D Haidopoulos; E Terpos; A Antsaklis; M A Dimopoulos; A Bamias Journal: Br J Cancer Date: 2012-11-20 Impact factor: 7.640
Authors: Katy Milne; Martin Köbel; Steven E Kalloger; Rebecca O Barnes; Dongxia Gao; C Blake Gilks; Peter H Watson; Brad H Nelson Journal: PLoS One Date: 2009-07-29 Impact factor: 3.240