Hanprasertpong J, et al. J Gynecol Oncol. 2017 Jul;28(6):e72. https://doi.org/10.3802/jgo.2017.28.e72

Tangjitgamol S, et al. J Gynecol Oncol. 2019 Apr;30(4):e82. https://doi.org/10.3802/jgo.2019.30.e82

Background: WT1 is a tumor suppressor gene responsible for Wilms' tumor. WT1 reactivity is limited to ovarian serous carcinomas. Recent studies have shown that WT1 plays an important role in the progression of disease and indicates a poorer prognosis of human malignancies such as acute myeloid leukemia and breast cancer. The aims of this study were to determine the survival and recurrence-free survival of women with advanced serous epithelial ovarian carcinoma in relation to WT1 gene expression. Methods: The study accrued women over an 18-year period, from 1987–2004. During the study period, 163 patients were diagnosed with advanced serous epithelial ovarian carcinoma and had undergone complete post-operative chemotherapy, but the final study group comprised 99 patients. The records of these women were reviewed and the paraffin-embedded tissue of these women stained with WT1 immunostaining. Survival analysis was performed using Kaplan-Meier and Cox regression methods. Results: Fifty patients showed WT1 staining and forty-nine did not. Five-year survival of non-staining and staining groups were 39.4% and 10.7% (p < 0.00005); five-year recurrence-free survival of these groups were 29.8% and ≤ 7.5% (p < 0.00005), respectively. For survival the HR of WT1 staining, adjusted for residual tumor and chemotherapy response, was 1.98 (95% CI 1.28–3.79), and for recurrence-free survival the HR was 3.36 (95% CI 1.60–7.03). The HR for recurrence-free survival was not confounded by any other variables. Conclusion: This study suggests that expression of WT1 gene may be indicative of an unfavorable prognosis in patients with advanced serous epithelial ovarian carcinoma.

Background: Pelvic lymphadenectomy, which is the routine surgical treatment for early-stage cervical cancer, causes serious morbidity. The goal of the current retrospective study was to identify predictive factors of lymph node metastasis (LNM) in patients with early-stage cervical cancer. Patients and Methods: The study included 496 patients diagnosed with stages IA2-IB1cervical cancer who underwent a radical hysterectomy with pelvic lymphadenectomy. The predictive factors of LNM were evaluated. Results: The incidence of LNM in this study was 4.6%. LNM was more common in patients with deep stromal invasion (DSI), tumor size > 2 cm, lymph vascular invasion and parametrial involvement (PI). Multivariate analysis showed DSI (p = 0.010) and PI (p = 0.005) were independently associated with LNM. The median follow-up time was 56.9 months. The patients with LNM had poorer 5-year overall survival (77.8%; 95% confidence interval (CI) 44.2-92.6) than the patients without LNM (98.2%; 95% CI 95.6-99.2; p = 0.002) and also poorer 5-year recurrence-free survival (65.5%; 95% CI 38.6-82.8) than the patients without LNM (90.2%; 95% CI 86.5-92.9; p < 0.001). Conclusion: The predictive factors of pelvic lymph node metastasis in stage IA2-IB1 cervical cancer patients were DSI and PI. LNM was associated with poorer oncological outcomes.

Purpose: The oncological outcomes of locally advanced cervical cancer (LACC) patients after treatment are poor and heterogeneous. This study aimed to determine the role of the hemoglobin-albumin-lymphocyte-platelet (HALP) inflammatory index in predicting oncological outcomes in LACC patients. Patients and Methods: A total of 1588 LACC patients who received radiation therapy or concurrent chemoradiation were divided into training and test sets. Characteristics, survival, and a HALP cutoff determined by X-tile software were used to build predictive survival models on the training data. Validation of the model was performed on both sets. Results: Patients with a HALP score ≤ 22.2 tended to have lower age (p < 0.001), lower comorbidity rate (p = 0.016), lower body mass index (p < 0.001), higher stage (p < 0.001), larger tumor size (p < 0.001), and higher likelihood to receive radiation alone than concurrent chemoradiation (p < 0.001). Survival analysis demonstrated that HALP > 22.2 was independently associated with better progression-free survival (PFS; hazard ratio; HR 0.55) and overall survival (OS; HR 0.43). Validation of survival prediction by receiver-operating characteristics demonstrated a significantly improved area under the curve of survival prediction in both sets (p < 0.001) after the addition of the HALP index to the model. Conclusion: A lower HALP score was an independent predictive factor for poorer oncological outcomes. The addition of the HALP index can improve the accuracy of predicting the oncological outcomes of LACC patients.