Preoperative CA125 value predicts Glisson capsule involvement in patients with peritoneal carcinomatosis undergoing cytoreductive surgery and hyperthermic intraperitoneal chemotherapy

The prognosis predictive score around primary debulking surgery (PPSP) improves diagnostic efficacy in predicting the prognosis of ovarian cancer

In recent years, the pretreatment inflammatory responses have proven to predict the prognosis, but no report exists analyzing the combined inflammatory response of the pre- and postsurgical treatment. The current study aims to extract the factors predicting the recurrence and create novel predictive scoring. This retrospective study was conducted at our institution between November 2006 and December 2020, with follow-up until September 2022. Demographic and clinicopathological data were collected from women who underwent primary debulking surgery. We created the scoring system named the prognosis predictive score around primary debulking surgery(PPSP) for progression-free survival(PFS). Univariate and multivariate analyses were performed to assess its efficacy in predicting PFS and overall survival(OS). Cox regression analyses were used to assess its time-dependent efficacy. Kaplan-Meier and the log-rank test were used to compare the survival rate. A total of 235 patients were included in the current study. The cut-off value of the scoring system was six. Multivariate analyses revealed that an advanced International Federation of Gynecology and Obstetrics(FIGO) stage (p < 0.001 for PFS; p = 0.038 for OS), the decreased white blood cell count difference (p = 0.026 for PFS) and the high-PPSP (p = 0.004 for PFS; p = 0.002 for OS) were the independent prognostic factors. Cox regression analysis also supported the above results. The PPSP showed good prognostic efficacy not only in predicting the PFS but also OS of ovarian cancer patients comparable to FIGO staging.

Aberrant Cyclin E and Hepatocyte Growth Factor Expression, Microvascular Density, and Micro-Lymphatic Vessel Density in Esophageal Squamous Cell Carcinoma

Cyclin E and hepatocyte growth factor (HGF) have been observed as a multifaceted factor in many cancers, and the assessment of microvascular density (MVD) and micro-lymphatic vessel density (MLVD) has been used to quantify tumor angiogenesis and lymphangiogenesis. The aim of this study was to explore the association between expression of cyclin E, HGF, MVD, and MLVD, and clinicopathologic parameters in esophageal squamous cell carcinoma (ESCC). The expression of cyclin E, HGF, MVD, and MLVD were detected using immunohistochemically anticyclin E, HGF, CD34, and lymphatic vessel endothelial hyaluronan receptor 1 in 168 surgically resected ESCC cases and 30 normal esophageal mucosal samples. The expression levels of cyclin E, HGF, MVD, and MLVD were higher compared to controls. High cyclin E and HGF expression was found more frequently in the tumors larger than 5 cm (P < .001), with poorer differentiation (P = .034) and higher tumor node metastasis (TNM) staging (P = .009) compared to their counterparts. Both MVD and MLVD values were found to be higher in the tumors larger than 5 cm (P < .001), with poorer differentiation (P < .001) and higher TNM staging (P < .001) compared to their counterparts. Furthermore, the expression of MVD and MLVD in both the high cyclin E and high HGF expression groups was significantly higher compared to the low cyclin E and HGF expression groups (P < .001). This study demonstrated that high cyclin E and HGF expression is closely correlated with tumor size, tumor differentiation degree, and TNM stage in patients with ESCC. These findings proposed that cyclin E and HGF could serve as novel molecular markers for preoperational evaluation of ESCC.

A Model Shows Utility in Predicting Postoperative Recurrence and Distant Metastasis in Curatively Resected Esophageal Squamous Cell Cancer

After curative treatment of esophageal squamous cell cancer (ESCC), patients are at high risk for recurrence. The objective of this study was to develop an index with a high sensitivity and specificity to predict ESCC patients’ recurrence and prognosis. A retrospective analysis was conducted on consecutive patients with EC who underwent esophagectomy. In total, 1417 patients were included in the current investigation. In total, 770 patients were included in the current study’s exploratory group. Alcohol consumption, TNM classification, number of lymph node station metastases, and number of lymph node metastases were significantly correlated with recurrence. Multivariate logistical regression analysis resulted in the development of an equation for predicting recurrence and prognosis (REEC). When using the REEC value to predict recurrence, the cutoff value was 1.095, the area under the curve (AUC) values of the REEC were 0.68 (p < 0.001) in the Exploratory Group and 0.65 (p < 0.001) in the Validation Group, and the sensitivity and specificity were 76.68% and 51.18%, respectively. When using the REEC value to predict prognosis, the cutoff value was 1.215, the AUC values of the REEC were 0.65 (p < 0.001) in the Exploratory Group and 0.64 (p < 0.001) in the Validation Group, and the sensitivity and specificity were 73.12% and 50.67%, respectively. In the Exploratory Group, when the REEC value was >1.095, patients had a longer median overall survival (OS) and median disease-free survival (DFS) than those whose REEC value was < 1.095 (70.01±2.01 months versus 50.92±2.85 months and 75.66±1.35 months versus 53.68±2.81 months, respectively, p < 0.001). The differences were confirmed to still exist in the Validation Group (48.12±1.47 vs 32.68±2.53 months and 55.61±1.32 vs 35.68±2.73 months respectively, p < 0.001).This study reported an index that can predict esophageal cancer recurrence and prognosis, and its use can benefit patients.