Cancer stem cells (CSCs) are regarded as the main cell type responsible for the initiation, metastasis, drug resistance, and recurrence of cancer. But the mechanism by which cancer stem cells maintain their stemness remains unclear. In the present study, ovarian cancer stem cells (OCSCs) were revealed to have an enhanced autophagic flux. Furthermore, their chemoresistance and ability to self-renewal in vitro were decreased when autophagy was inhibited by Bafilomycin A1(BafA1), Chloroquine(CQ) or autophagy related 5(ATG5) knockdown. PCR array screening determined that Forkhead Box A2(FOXA2) was highly expressed in OCSCs, and correspondingly regulated by autophagy activity. In addition, the self-renewal ability was decreased in the case of FOXA2 knockdown by shRNA in OCSCs. Overexpression of FOXA2 from the pEGFP(+)-FOXA2 plasmid partially reversed the depressed self-renewal ability of OCSCs during autophagy inhibition. Our findings suggest that autophagy, through participation of FOXA2, maintains the characteristics of OCSCs. Autophagy and FOXA2 are therefore potential targets for ovarian cancer stem cell directed therapies.

Cancer stem cells (CSCs) possess abilities of self-renewal and differentiation, have oncogenic potential and are regarded to be the source of cancer recurrence. However, the mechanism by which CSCs maintain their stemness remains largely unclear. In this study, the cell line-derived ovarian CSCs (OCSCs), 3AO and Caov3, were enriched in serum-free medium (SFM). Differentially expressed proteins were compared between the OCSC subpopulation and parental cells using liquid chromatography (LC)-mass spectrometry (MS)/MS label-free quantitative proteomics. Sphere-forming ability assays, flow cytometry, quantitative real-time polymerase chain reaction (qPCR), western blotting, and in vivo xenograft experiments were performed to evaluate stemness. RNA-sequencing (RNA-seq) and pyrosequencing were used to reveal the mechanism by which STON2 negatively modulates the stem-like properties of ovarian cancer cells. Among the 74 most differentially expressed proteins, stonin 2 (STON2) was confirmed to be down-regulated in the OCSC subpopulation. We show that STON2 negatively modulates the stem-like properties of ovarian cancer cells, which are characterized by sphere formation, a CD44+CD24− ratio, and by CSC- and epithelial mesenchymal transition (EMT)-related markers. STON2 knockdown also accelerated tumorigenesis in NOD/SCID mice. Further investigation revealed a downstream target, mucin 1 (MUC1), as up-regulated upon the down regulation of STON2. A decrease in both DNA methyltransferase 1 (DNMT1) expression and methylation in the promoter region of MUC1 was associated with subsequently elevated MUC1 expression, as detected in STON2 knockdown in 3AO and Caov3 cells. Direct DNMT1 knockdown simultaneously elevated MUC1 expression. The functional significance of this STON2-DNMT1/MUC1 pathway is supported by the observation that STON2 overexpression suppresses MUC1-induced sphere formation of OCSCs. The paired expression of STON2 and MUC1 in ovarian cancer specimens was also detected revealing the prognostic value of STON2 expression to be highly dependent on MUC1 expression. Our results imply that STON2 may negatively regulate stemness in ovarian cancer cells via DNMT1-MUC1 mediated epigenetic modification. STON2 is therefore involved in OCSC biology and may represent a therapeutic target for innovative treatments aimed at ovarian cancer eradication.

As the outermost barrier, skin plays an important role in protecting our bodies against outside invasion. Under stable conditions or during inflammation, leukocytes migration is essential for restoring homeostasis in the skin. Immune cells trafficking is orchestrated by chemokines; leukocytes express receptors that bind to chemokines and trigger migration. The homeostasis of the immune ecosystem is an extremely complicated dynamic process that requires the cooperation of innate and adaptive immune cells. Emerging studies have been shedding a light on the unique characteristics of skin-resident innate lymphoid cells (ILCs). In this review, we discuss how chemokines orchestrate skin ILCs trafficking and contribute to tissue homeostasis and how abnormal chemokine–chemokine receptor interactions contribute to and augment skin inflammation, as seen in conditions such as contact hypersensitivity, atopic dermatitis, and psoriasis.

Small extracellular vesicles (sEVs) and large extracellular vesicles (lEVs), play vital roles in intercellular communication. We optimized a method that extracts EVs from epithelial ovarian cancer (EOC) tissues for the purpose of investigating whether cryopreservation of EOC tissues affects the phenotypes, contents, and biological functions of extracted EVs. EV morphology, the number and size distribution of EVs, and EV-related markers were analyzed. Storage of lysates at −80°C decreased lEV yield and increased sEV yield, whereas storage of tissues at −80°C increased both sEV and lEV yields; neither changed the morphology or particle mass ratio of EVs. The two cryopreservation groups retained over 90% of proteins and 80% of miRNAs detected in the “fresh” group. EVs extracted following lysate/tissue storage at −80°C could also promote angiogenesis and invasive migration ability in human endothelial cells. Cryopreserved EOC tissue may benefit clinical applications for studies of tissue-derived EVs, especially EV proteins-related ones.

DNA methylation is an important epigenetic regulator that plays crucial roles in various biological processes. Recent developments in experimental approaches and dramatic expansion of sequencing capacities have imposed new challenges in the analysis of large-scale, cross-species DNA methylation data. Hence, user-friendly toolkits with high usability and performance are in urgent need. In this work, we present Msuite2, an easy-to-use, all-in-one, and universal toolkit for DNA methylation data analysis and visualization with high flexibility, usability, and performance. Msuite2 is among the fastest tools in read alignment (in particular, it runs as much as 5x faster than its predecessor, Msuite1) with low computing resource usage. In addition, Msuite2 shows both balanced and high performance in terms of mapping efficiency and accuracy, demonstrating high potential to facilitate the investigation and application of large-scale DNA methylation analysis in various biomedical studies. Msuite2 is freely available at https://github.com/hellosunking/Msuite2/.

Objective: To investigate the prognostic value of immune cells within omental metastases originating from advanced epithelial ovarian cancer (EOC). Methods: We performed immunohistochemical analysis to determine the levels of CD4+/CD8+ tumor-infiltrating lymphocytes (TILs) and CD68+ tumor-associated microphages (TAMs) in omental specimens from 100 patients with advanced EOC. Significant prognostic factors, including immune cells and clinical parameters, were assessed by Kaplan–Meier survival analysis and Cox models. Results: Cox regression analysis showed that elevated levels of CD68+ TAMs and intra-islet CD4+ TILs in omental metastases were the main risk factors associated with worse survival outcomes for advanced EOC. Moreover, the survival analysis of relationships between omental immune cells and favorable clinical predictors revealed additional prognostic stratification information. Conclusion: Omental immune cells (TAMs and TILs) provide alternative prognostic factors in advanced EOC. In contrast to markers of the EOC tumor microenvironment at the primary site, elevated CD68+ TAMs and intra-islet CD4+ TILs in omental metastases serve as negative prognostic markers in advanced EOC and imply an unfavorable outcome.