Prognostic Impact of Tumor-Infiltrating Immune Cells on Efficacy of Neoadjuvant Chemotherapy in Patients with Advanced or Metastatic Ovarian Cancer: A Retrospective Study.

BACKGROUND Tumor-infiltrating immune cells (TIICs) are implicated in the survival of ovarian cancer (OVCA) patients, but their prognostic significance in advanced or metastatic OVCA patients treated with neoadjuvant chemotherapy (NCAT) has not been well documented, particularly in the Chinese population. MATERIAL AND METHODS A total of 31 advanced or metastatic OVCA patients who underwent NACT were included. The density and positive rate of tumor-infiltrating immune cells (TIICs) within cancer cell nests and in cancer stroma were explored. The correlations of pre- or post-NACT TIICs with the efficacy of NACT and the changes in TIIC subpopulation with NACT were examined. RESULTS Compared with patients with partial benefit from NACT, significantly decreased pre-NACT intratumoral CD68⁺CD163⁺ cells (P=0.0043) and increased pre-NACT intratumoral CD56⁺ cells (P=0.038) were observed in patients with benefit. The high level of pre-NACT intratumoral CD68⁺CD163⁻ M1 macrophage (P=0.075) and stromal CD3⁺PD-1⁺ cells (P=0.085) predicated improved progression-free survival, respectively. Increased post-NACT stromal CD68⁺CD163⁻ M1 macrophage (P=0.01), stromal CD8⁺ T cells (P=0.073), and stromal CD8⁺PD-1⁺ cells (P=0.072) were associated with benefit from NACT. Moreover, NACT increased intratumoral CD3⁺ (P=0.031), CD8+ (P=0.031), and CD3⁺CD8⁺ cells (P=0.031). CONCLUSIONS High intratumoral CD68⁺CD163⁻, intratumoral CD56⁺ cells, and stromal CD3⁺PD-1⁺ cells pre-NACT predicted good prognosis. Intratumoral CD3⁺, CD8⁺, and CD3⁺CD8⁺ cells were increased after NACT. Evaluation of immune profiles may help to identify patients who might benefit from NACT and allow us to further stratify advanced or metastatic OVCA patients treated with NACT for disease management.

Novel prognostic nomograms in cervical cancer based on analysis of 1075 patients.

OBJECTIVE: To explore the factors affecting the prognosis of cervical cancer (CC), and to construct and evaluate predictive nomograms to guide individualized clinical treatment. METHODS: The clinicopathological and follow-up data of CC patients from June 2013 to December 2019 in Sun Yat-sen Memorial Hospital of Sun Yat-sen University were retrospectively analyzed. Log-rank test was used for univariate survival analysis, and Cox multivariate regression was used to identify independent prognostic factors, based on which nomogram models were established and evaluated in multiple aspects. RESULTS: Patients were randomly assigned into the training (n = 746) and validation sets (n = 329). Survival analysis of the training set identified cervical myometrial invasion, parametrial involvement, and malignant tumor history as prognosticators of postoperative DFS and pathological type, cervical myometrial invasion, and history of STD for OS. C-index was 0.799 and 0.839 for the nomograms for DFS and OS, respectively. Calibration curves and Brier scores also indicated high performance. Importantly, decision curve analysis suggested great clinical applicability of these nomograms. CONCLUSIONS: In this study, we analyzed a cohort of 1075 CC patients and identified DFS- or OS-associated clinicohistologic characteristics. Two nomograms were subsequently constructed for DFS and OS prognostication, respectively, and showed high performance in terms of discrimination, calibration, and clinical applicability. These models may facilitate individualized treatment and patient selection for clinical trials. Future investigations with larger cohorts and prospective designs are warranted for validating these prognostic models.

Prognostic impact of hepatitis B virus infection in patients with primary cervical cancer.

BACKGROUND: Hepatitis B virus (HBV) infection has been associated with an increased risk of a few malignancies. However, the prognostic impact of HBV infection remains unclear in cervical cancer. OBJECTIVE: To explore the association between HBV infection and survival outcomes of patients with primary cervical cancer, using overall survival (OS) and disease-free survival (DFS) as primary endpoints. METHODS: This analysis was performed retrospectively with newly diagnosed cervical cancer patients admitted to the Department of Gynecologic Oncology at the Sun Yat-sen Memorial Hospital of Sun Yat-sen University from June 2013 to October 2019, who were enrolled and followed up. The Kaplan-Meier method and Cox proportional hazard analysis were used to examine the performance of HBV infection in predicting OS and DFS. RESULTS: Patients were followed up for a median of 37.17 months (95% CI, 34.69-39.65). Among the 695 patients, 87 (12.5%) were serologically positive for hepatitis B surface antigen (HBsAg), and 276 (39.7%) had a prior history of HBV infection. There was no significant difference between HBsAg-positive group and HBsAg-negative patients concerning OS or DFS. Multivariate analysis showed prior HBV infection was an independent favorable prognosticator for OS (HR, 0.335; 95% CI, 0.153-0.0.734; p = 0.006) and DFS (HR, 0.398; 95% CI, 0.208-0.691; p = 0.002). CONCLUSION: We provide the first clinical evidence that suggests prior HBV infection as an independent favorable prognostic factor for patients with primary cervical cancer.

The added value of fasting blood glucose to serum squamous cell carcinoma antigen for predicting oncological outcomes in cervical cancer patients receiving neoadjuvant chemotherapy followed by radical hysterectomy.

OBJECTIVE: To determine the combination of fasting blood glucose (FBG) with squamous cell carcinoma antigen (SCCA) assessments in the prediction of tumor responses to chemotherapy and pretreatment prognostication among patients receiving neoadjuvant chemotherapy (NACT) for locally advanced cervical cancer (LACC). METHODS: Data of 347 LACC patients were retrospectively reviewed. Receiver operating characteristic (ROC) curves were constructed, and areas under the curves (AUCs) were compared to evaluate the ability to predict complete response (CR) following NACT. Patients were stratified into groups with low and high levels of SCCA and FBG and combined into low- or high-SCCA and low- or high-FBG groups. Cox regression analysis was performed to identify determinants of recurrence-free survival (RFS) and overall survival (OS). RESULTS: The AUCs were 0.70, 0.68, and 0.66 for SCCA, FBG, and a combination of SCCA and FBG for predicting CR following NACT, respectively; however, the differences among AUCs were not significant (P = .496). Pretreatment SCCA and FBG levels were identified as independent predictors of RFS and OS. The high-SCCA/high-FBG group showed significantly worse prognosis than the low-SCCA/low-FBG group. After adjusting for other variables, high-SCCA/high-FBG remained independently associated with an increased risk of tumor recurrence and death. CONCLUSION: SCCA, FBG, and a combination of SCCA and FBG could acceptably predict CR following NACT. Pretreatment SCCA and FBG levels were independent prognostic factors. The combination of SCCA and FBG levels refined the prognostic stratification of LACC patients, which allowed the group of patients with the highest risk of recurrence and death to be identified.

Association Between HIF-1 Alpha Gene Polymorphisms and Response in Patients Undergoing Neoadjuvant Chemotherapy for Locally Advanced Cervical Cancer.

BACKGROUND The aim of the study was to assess whether HIF-1α polymorphisms have an effect on the response to chemotherapy of locally advanced cervical cancer (LACC) patients treated with platinum-based neoadjuvant chemotherapy (NACT) and radical surgery. MATERIAL AND METHODS We conducted a retrospective study in 162 LACC patients. Hypoxia-inducible factor 1α C1772T and G1790A genetic polymorphisms were ascertained using direct sequencing methods. RESULTS The C1772T polymorphism was significantly related to response to chemotherapy (P=0.002), and there was an increased chance of treatment response in patients with the C/C genotype (OR=4.7; 95% CI: 1.67-13.49; P=0.004). The C1772T polymorphism was also associated with poor tumor grade (adjusted OR, 2.98; 95% CI: 1.08-8.13; P=0.037). However, The G1790A polymorphism was not associated with response (P>0.05). CONCLUSIONS The C1772T polymorphism was significantly related to response to chemotherapy and poor tumor grade. Our results may help to better manage individual patients and to improve clinical decision making regarding use of NACT.