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- 저자 : Ozsaran (검색결과 2 건)
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Fatma Sert,Zeynep Ozsaran,Erhan Eser,Senem Demirci Alanyalı,Ayfer Haydaroglu,Arif Aras 한국유방암학회 2013 Journal of breast cancer Vol.16 No.2
Purpose: Evaluating the effect of hormonal treatment on quality of life (QoL) in breast cancer patients by using the Functional Assessment of Cancer Treatment (FACT) questionnaire is the main purpose of this trial. Methods: Breast cancer patients treated with adjuvant between January 2007 and December 2009 were evaluated. The first survey was done after patients completed their whole adjuvant treatment except for the hormonal therapy and this was as ‘basal assessment.’ The second survey was done 6 to 12 months after the basal surveys during their routine policlinic controls. The last survey was done within the last 18 to 24 months of the follow-up period. Results: The effect of marital status, number of pregnancies, residence in the village or city, hemoglobin levels, chemotherapy and hormonal therapy for any other reason except for breast cancer on the QoL could not be seen. Endocrine subscale scores were detected to be higher in patients aged >60 years than in younger ones. The other dimension scores were low in the elderly patient group. There was a statistically significant relationship between being >30 years old and improvement in the social well-being score (p=0.028). The functional well-being scores were found to be significantly higher in the patient group that had no comorbid disease (p=0.018). Endocrine subscale scores were statistically worse in patients who had psychiatric disease (p=0.057) but the general QoL data were similar with others. It was shown that all QoL scores for all dimensions had statistically significant changes (p<0.001) in terms of hormonal regimes. Conclusion: The diagnosis of breast cancer was found to be an independent factor that affects social well-being and social life in a negative way. We must give attention to complaints including complaints about sexual life and hormonal status in order to ensure compliance of patients with the required hormonal regimens. By the help of future research, we can improve the prognosis of this disease through increased treatment adherence and belief of patients.
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Thrombopoietin: a novel candidate tumor marker for the diagnosis of ovarian cancer
Timucin Mermer,Mustafa Cosan Terek,Burak Zeybek,Ahmet Mete Ergenoglu,Ahmet Ozgur Yeniel,Aydın Ozsaran,Osman Zekioglu 대한부인종양학회 2012 Journal of Gynecologic Oncology Vol.23 No.2
Objective: To investigate the decisive role of preoperative serum thrombopoietin levels in the discrimination of benign and malignant ovarian pathologies and its value in the evaluation of treatment response. Methods: Fifty patients with diagnoses of adnexal masses (25 benign, 25 malignant) were included in the study. Blood samples were collected from all cases preoperatively. Age, menopausal status, adnexal mass size, preoperative CA-125 level, platelet count, the stage of the disease (FIGO stage), tumor grade, histologic subgroup, the residual tumor mass, ascites cytology,surgical procedures, and postoperative treatments were recorded for the malignant group. Response to treatment was evaluated based on the revised RECIST guideline. Results: The preoperative serum thrombopoietin levels of the malignant cases (median, 98; range, 7 to 768) were significantly higher when compared with those of benign cases (median, 27; range, 13 to 131; p=0.004). The positive predictive value of CA-125 was found to be 79%, when it was used as a single marker; however it had risen to 85% when both CA-125 and thrombopoietin levels were used. There was no significant relationship between preoperative serum thrombopoietin levels and tumor grade, ascites cytology, presence of residual mass, and response to treatment. The preoperative serum thrombopoietin levels were significantly higher in stage III-IV cases and cases with serous histology. The post-treatment serum thrombopoietin levels in the malignant group were significantly lower as compared with the preoperative thrombopoietin levels. Conclusion: Thrombopoietin can play an additive role for prediction of ovarian cancer.
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