Macrophages are polarized into two functionally distinct forms, M1 and M2, in response to different microenvironment. Tumor-associated macrophages (TAMs) generally have M2 phenotype and promote tumor progression. Few studies to date have described the infiltration of M2-polarized macrophages in ovarian cancer. We used two macrophages markers, CD68 and CD163, to analyze the expression of TAMs and to clarify the relationship between the M2 form and survival in advanced ovarian cancer. Clinical data of 110 patients with stages III-IV epithelial ovarian cancer at Sun Yat-sen University Cancer Center between 1999 and 2007 were retrospectively reviewed. Immunohistochemical staining of CD68 and CD163 was performed. Correlations between macrophage density and patient survival were analyzed. Our data showed that no significant difference was observed in survival between patients in the high- and the low-CD68 expression groups. In contrast, the progression-free survival (PFS) rates ( p = 0.003) and overall survival (OS) rates ( p = 0.004) were significantly higher in the low-CD163 expression group than in the high-CD163 expression group, respectively. Similarly, we also observed significantly improved 3-year PFS (49.8% vs. 11.0%, p < 0.001) and OS (77.4% vs. 45.0%, p < 0.001) rates in patients in the low-CD163/CD68 ratio group when compared with the high-CD163/CD68 ratio group. Multivariate analysis identified the density of CD163-positive cells as well as the ratio of CD163/CD68 as negative predictors for PFS and OS, respectively. Our results show that the infiltration of CD163-positive M2 macrophages as well as activation of macrophages towards the M2 phenotype may contribute to poor survival in advanced ovarian cancer.

Cervical cancer is a life-threatening disease that affects more than 560 000 women worldwide, with the majority of these women living in resource-limited countries.¹ Radical surgery remains the preferred treatment for early-stage cervical cancer in most countries. After radical surgery, patients with pathological high-risk factors, such as parametrial invasion, positive surgical margins, and lymph node metastasis, should receive adjuvant radiotherapy with concurrent cisplatin or cisplatin-based chemotherapy.^2-6 Even then, approximately 30% of patients will relapse, which raises the need for more effective treatments.⁷ Additionally, for patients presenting with intermediate-risk factors, such as large tumor size, deep stromal invasion, or lymphatic vascular space involvement, there is no current consensus on the role of chemotherapy in addition to adjuvant radiotherapy. Thus, the current modality for risk-adapted postoperative treatment needs further investigation.^3,8-11

Ovarian cancer is the most lethal gynecological malignancy. Timely diagnosis of ovarian cancer is difficult due to the lack of effective biomarkers. Laboratory tests are widely applied in clinical practice, and some have shown diagnostic and prognostic relevance to ovarian cancer. We aimed to systematically evaluate the value of routine laboratory tests on the prediction of ovarian cancer, and develop a robust and generalisable ensemble artificial intelligence (AI) model to assist in identifying patients with ovarian cancer. In this multicentre, retrospective cohort study, we collected 98 laboratory tests and clinical features of women with or without ovarian cancer admitted to three hospitals in China during Jan 1, 2012 and April 4, 2021. A multi-criteria decision making-based classification fusion (MCF) risk prediction framework was used to make a model that combined estimations from 20 AI classification models to reach an integrated prediction tool developed for ovarian cancer diagnosis. It was evaluated on an internal validation set (3007 individuals) and two external validation sets (5641 and 2344 individuals). The primary outcome was the prediction accuracy of the model in identifying ovarian cancer. Based on 52 features (51 laboratory tests and age), the MCF achieved an area under the receiver-operating characteristic curve (AUC) of 0·949 (95% CI 0·948-0·950) in the internal validation set, and AUCs of 0·882 (0·880-0·885) and 0·884 (0·882-0·887) in the two external validation sets. The model showed higher AUC and sensitivity compared with CA125 and HE4 in identifying ovarian cancer, especially in patients with early-stage ovarian cancer. The MCF also yielded acceptable prediction accuracy with the exclusion of highly ranked laboratory tests that indicate ovarian cancer, such as CA125 and other tumour markers, and outperformed state-of-the-art models in ovarian cancer prediction. The MCF was wrapped as an ovarian cancer prediction tool, and made publicly available to provide estimated probability of ovarian cancer with input laboratory test values. The MCF model consistently achieved satisfactory performance in ovarian cancer prediction when using laboratory tests from the three validation sets. This model offers a low-cost, easily accessible, and accurate diagnostic tool for ovarian cancer. The included laboratory tests, not only CA125 which was the highest ranked laboratory test in importance of diagnostic assistance, contributed to the characterisation of patients with ovarian cancer. Ministry of Science and Technology of China; National Natural Science Foundation of China; Natural Science Foundation of Guangdong Province, China; and Science and Technology Project of Guangzhou, China. For the Chinese translation of the abstract see Supplementary Materials section.

Objective: Studies comparing the prognostic results between laparoscopic radical hysterectomy (LRH) and abdominal radical hysterectomy (ARH) in cervical cancer reported contradictory results. We aimed to evaluate the prognostic and safety roles of LRH by pooling studies in a meta-analysis. Materials and Methods: Original articles were searched in PubMed, EMBASE, and the Cochrane Library. The survival results (5-year disease-free survival [DFS], 5-year overall survival [OS], and recurrence rate [RR]), safety parameters (intra-, peri-, and postoperative complication rates and postoperative bowel or bladder recovery days), efficiency parameters (pelvic/para-aortic lymph nodes removed), and other parameters (operative time, estimated blood loss, and hospital of stay) between the two approaches were reviewed. Results: For the 2922 cases identified, DFS, OS, and RR did not differ in balanced prognostic factors, including lymph node metastasis, Stage IIB or above, non–squamous cancer histology, grade G3, lymphovascular space invasion, tumor size ≥4 cm, and positive parametrial and vaginal margin rates. Meanwhile, LRH was associated with higher complication rates and a shorter time to the recovery of bowel or bladder function than for ARH. The number of removed pelvic or para-aortic lymph nodes did not significantly differ. Other parameters showed LRH was associated with a longer operative time, less blood loss, and a shorter length of hospital stay. The survival and prognostic results did not differ in balanced prognostic factors. Conclusions: LRH is safe and has lower operative complication rates than ARH.

Background: It was reported that tumor heterogeneity and the surrounding tumor microenvironment (TME) in ovarian cancer affects immunotherapy efficacy and patient outcomes. And the TME of ovarian cancer is intrinsically heterogeneous. CD47 plays vital roles in cell functional behavior and immune homeostasis relating to cancer prognosis. But how it affects TME and its contribution to heterogeneity in ovarian cancer has not been fully illustrated. Therefore, we aimed to identify a prognostic biomarker which may help explain tumor immune microenvironment heterogeneity of ovarian cancer.Methods: Cancer single-cell state atlas (CancerSEA) was used to evaluate functional role of CD47. Several bioinformatics database including Oncomine, Gene Expression Profiling Interaction Analysis (GEPIA), Tumor Immune Estimation Resource (TIMER), The Human Protein Atlas (HPA), Ualcan and Kaplan-Meier plotter (KM plotter) were applied to illustrate correlation of CD47 with ovarian cancer prognosis and immune infiltration. Tumor Immune Single-cell Hub (TISCH) single cell database was employed to evaluate correlation of CD47 with tumor microenvironment. GeneMANIA was implemented to identify regulation networks of CD47. Differentially expressed genes (DEGs) between CD47 high and low expression groups were analyzed with R package DESeq2. Kyoto encyclopedia of genes and genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) were utilized to explore how CD47 affect the immune related cell signaling pathway.Results: CD47 expression was upregulated and connected to worse OS and PFS in ovarian cancer. Close relation was found between CD47 expression level and immune infiltration in ovarian cancer, especially with Treg cells, Monocytes, Macrophages and T cell exhaustion (P<0.05). The CD47 expression level was relatively low in plasma cells, dendritic cells and Mono/Macro cells of OV_GSE115007, in myofibroblasts, fibroblasts and endothelial cells of OV_GSE118828, compared to malignant cells of OV_GSE118828 dataset. The cell components and distribution in primary and metastatic ovarian cancer are quite distinct, which may lead to TME heterogeneity of ovarian cancer.Conclusion: Our results indicated that CD47 is closely correlated to ovarian cancer immune microenvironment and might induce ovarian cancer heterogeneity. Therefore, CD47 may be used as a candidate prognostic biomarker and provide us with new insights into potential immunotherapy in ovarian cancer patients.

This study was aimed at investigating the role and molecular mechanism of Sam68 in cervical cancer lymph node metastasis. Sam68 expression profile was detected by quantitative polymerase chain reaction, western blotting and immunohistochemical staining. Short hairpin RNA interfering approach was employed to suppress endogenous Sam68 expression in cervical cancer cells to determine its role in metastasis and the possible mechanism. Sam68 expression in cervical cancer was significantly up-regulated at both messenger RNA and protein levels compared with that in normal cervical tissues. The high expression level of Sam68 and its cytoplasmic localization were significantly associated with risk factors including pelvic lymph node metastasis (P < 0.001), and served as independent prognostic factors for predicting shortening of the overall survival time and disease-free survival time in patients with early-stage cervical cancer. Moreover, down-regulation of Sam68 in cervical cancer cells remarkably inhibited cellular motility and invasion. In addition, down-regulation of Sam68 reversed epithelial–mesenchymal transition through inhibiting the Akt/ GSK-3β/Snail pathway. This study demonstrated that Sam68 could induce cervical cancer lymph node metastasis through regulating epithelial-mesenchymal transition, and Sam68 expression profile possessed the potential to serve as predictors of pelvic lymph node metastasis in cervical cancer patients.