Parameters for Predicting Granulosa Cell Tumor of the Ovary: A Single Center Retrospective Comparative Study

Yeşilyurt, Hüseyin; Tokmak, Aytekin; Güzel, Ali İrfan; Simsek, H.; Terzioğlu, Serdar Gökay; Erkaya, Salım; Güngör, Tayfun

doi:10.7314/apjcp.2014.15.19.8447

Cited by 18 publications

(17 citation statements)

References 22 publications

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“…Ovarian adult granulosa cell tumor, accounting for 95% of ovarian granulosa cell tumor, mainly occurs in perimenopausal and postmenopausal women and exhibits unpredictably late recurrence features [3][4][5][6]. Among the multiple prognostic factors reported, menopause, tumor diameter, estrogen and CA125 levels, International Federation of Gynecology and Obstetrics (FIGO) staging, residual lesions, multisite recurrence, and presence of mitotic figures have been mentioned as factors associated with the prognosis [7][8][9][10]. The treatment and outcomes of recurrent AGCOT remain uncertain, as there have only been a small number of case reports [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Characteristics and treatment results of recurrence in adult-type granulosa cell tumor of ovary

Zhao

Zhang

et al. 2020

J Ovarian Res

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Background: The aim of this study was to explore the clinicopathological characteristics of recurrent adult-type granulosa cell tumor of the ovary (AGCOT) and evaluated the treatment results to define the prognostic parameters for survival after recurrence. Results: A retrospective review of 40 patients with recurrent AGCOT, who were treated in the Cancer Hospital at the Chinese Academy of Medical Sciences from 2000 to 2015 was conducted. The impact of clinical and pathological characteristics, progression-free survival (PFS), and post-recurrence therapeutic approaches on prognosis were analyzed. Among the 40 recurrent patients, there were 10 cases where the relapse was uncontrolled, 24 cases had second relapses, and 6 cases without further relapses at the time of our follow-up. The median PFS was 61 months (range, 7-408 months), and the median time interval between the first and the second relapses (R-PFS) was 25 months (range, 0-94 months). The median time interval between the first relapse and death (R-OS) was 90 months (range, 2-216 months). PFS ≥ 61 months (P = 0.004) and post-recurrence therapeutic approach (P < 0.001) were independent risk factors for repeated recurrences. The age at recurrence (P = 0.031) and post-recurrence therapeutic approach (P = 0.001) were independent risk factors for death after recurrence. Conclusion: Among patients with recurrent AGCOT, those with long PFS had good prognoses. Maximal cytoreductive effort should be made after recurrence. Complete resection and postoperative adjuvant chemotherapy may improve the prognosis of patients with recurrent AGCOT.

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Section: Introductionmentioning

confidence: 99%

Characteristics and treatment results of recurrence in adult-type granulosa cell tumor of ovary

Zhao

Zhang

et al. 2020

J Ovarian Res

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“…Previous studies suggested that elevated platelet count is associated with adverse outcomes in different malignancies. Moreover, it was claimed that the PLR and NLR could be used as a diagnostic marker for certain gynecologic cancers (Yesilyurt et al, 2014;Yildirim et al, 2014). Raungkaewmanee et al (2012) designed a retrospective study to determine whether preoperative PLR associated with diagnosis and prognosis of epithelial ovarian cancer.…”

Section: Figure 1 Roc Curve Analysis For Plr In Prediction Of Adolesmentioning

confidence: 99%

Value of the Platelet to Lymphocyte Ratio in the Diagnosis of Ovarian Neoplasms in Adolescents

Özakşit

Tokmak²,

Kalkan³

et al. 2015

Asian Pacific Journal of Cancer Prevention

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Background: Relationships between poor prognosis of ovarian malignancies and changes in complete blood count parameters have been proposed previously. In this work, we aimed to evaluate clinicopathologic features in adolescents with adnexal masses and sought to establish any predictive value of the platelet to lymphocyte ratio (PLR) in diagnosis. Materials and Methods: This retrospective study was conducted on 196 adolescent females with adnexal masses. Three groups were constituted with respect to clinical or histopathology results: group 1, non-neoplastic patients (n:65); group 2, neoplastic patients (n:68); and group 3 expectantly managed patients (n:63). The main parameters recorded from the hospital database and patient files were age, body mass index (BMI), chief symptoms, diameter of the mass (DOM), tumor marker levels, complete blood count values including absolute neutrophil, lymphocyte, and platelet counts, mean platelet volume, platelet distribution width, and platecrit, surgical features, and postoperative histopathology results. Results: The expectantly managed patients were younger than the other groups (p=0.007). The mean body mass index (BMI) was higher in the neoplastic group (p=0.016). Preoperative DOM, CA125, mean platelet volume and PLR were statistically significantly different between the groups (p<0.05). ROC curve analysis demonstrated that increased PLR (AUC, 0.609; p=0.011) and BMI (AUC, 0.611; p=0.011) may be discriminative factors in predicting ovarian neoplasms in adolescents preoperatively. When the cut-off point for the PLR level was set to 140, the sensitivity and specificity levels were found to be 65.7% and 57.6%, respectively. Conclusions: We suggest that beside a careful preoperative evaluation including clinical characteristics, ultrasonographic features and tumor markers, PLR may predict ovarian neoplasms in adolescents.

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“…There are several markers such as Ca-125 and vascular endothelial growth factor (VEGF), that have been studied in the preoperative period for the early diagnosis of ovarian cancer (15) . Yeşilyurt et al evaluated Ca-125 as a marker for GCTO and showed increased mean values in GCTO (64.5±130.3 IU/mL) (11) .…”

Section: Discussionmentioning

confidence: 99%

“…In a recent study, NLR was found to be statistically significantly different in GCTO and benign ovarian masses. ROC curve analysis has shown that NLR could be a differentiating factor in the preoperative prediction of GCTO (11) . In a more recent meta-analysis, a significant relationship was determined between high NLR and poor general survival (HR: 1.88, 95% CI 1.30-.73) and shorter progression-free survival (HR 1.65, 95% CI 1.18-2.29).…”

Section: Discussionmentioning

confidence: 99%

“…To predict prognosis and the potential for malignancy of adnexial masses during preoperative period, inflammatory markers such as the neutrophil-tolymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been examined (8)(9)(10) . A previous study reported that NLR was a predictor for GCTO (11) . RDW is a part of the routine full blood count and reflects the heterogenity of the red blood cell dimensions.…”

Section: Introductionmentioning

confidence: 92%

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Is There a Way to Predict Granulosa Cell Tumor of the Ovary? The Role of Peripheral Blood Test Parameters

Çıkman¹,

Gün²,

Sakin³

et al. 2020

BMJ

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Objective: As the clinical characteristics and clinical presentation of granulosa cell tumour of the ovary (GCTO) are not specific, predictive markers are required. The aim of this study was to evaluate the use of peripheral blood parameters in the preoperative prediction of GCTO. Method: This retrospective case-control study included 34 patients with GCTO (Group 1) and 158 females with benign ovarian mass (Group 2). Data were recorded and the groups were compared in respect of age, gravida, parity, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) and red cell distribution width (RDW). Results: With the exception of age, no difference was determined between the groups in respect of the other demographic parameters. In the study group, the RDW values were lower and NLR and PLR were higher than in the control group. The differences between the groups were statistically significant (p=0.003, p=0.013, p=0.038, respectively). The cutoff values obtained from the ROC curve for RDW, NLR and PLR were 14.3, 2.03 and 129.3, respectively. RDW was the only marker with sensitivity (67.6%) and specificity (65.8%) over 60%. In the study group a positive correlation was determined between tumour diameter and NLR (r=0.46, p=0.006). Conclusion: Although increased RDW is a strong determinant of mortality, including cancer-related deaths, the results of this study showed decreased RDW in GCTO. Low RDW could possibly be used as a screening tool in GCTO.

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Parameters for Predicting Granulosa Cell Tumor of the Ovary: A Single Center Retrospective Comparative Study

Cited by 18 publications

References 22 publications

Characteristics and treatment results of recurrence in adult-type granulosa cell tumor of ovary

Characteristics and treatment results of recurrence in adult-type granulosa cell tumor of ovary

Value of the Platelet to Lymphocyte Ratio in the Diagnosis of Ovarian Neoplasms in Adolescents

Is There a Way to Predict Granulosa Cell Tumor of the Ovary? The Role of Peripheral Blood Test Parameters

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