ABSTRACT
Background: Ovarian cancer, as a highly malignant tumor, features the critical involvement of tumor-associated fibroblasts in the ovarian cancer tissue microenvironment. However, due to the apparent heterogeneity within fibroblast subpopulations, the specific functions of these subpopulations in the ovarian cancer tissue microenvironment remain insufficiently elucidated. Methods: In this study, we integrated single-cell sequencing data from 32 ovarian cancer samples derived from four distinct cohorts and 3226 bulk RNA-seq data from GEO and TCGA-OV cohorts. Utilizing computational frameworks such as Seurat, Monocle 2, Cellchat, and others, we analyzed the characteristics of the ovarian cancer tissue microenvironment, focusing particularly on fibroblast subpopulations and their differentiation trajectories. Employing the CIBERSORTX computational framework, we assessed various cellular components within the ovarian cancer tissue microenvironment and evaluated their associations with ovarian cancer prognosis. Additionally, we conducted Mendelian randomization analysis based on cis-eQTL to investigate causal relationships between gene expression and ovarian cancer. Results: Through integrative analysis, we identified 13 major cell types present in ovarian cancer tissues, including CD8+ T cells, malignant cells, and fibroblasts. Analysis of the tumor microenvironment (TME) cell proportions revealed a significant increase in the proportion of CD8+ T cells and CD4+ T cells in tumor tissues compared to normal tissues, while fibroblasts predominated in normal tissues. Further subgroup analysis of fibroblasts identified seven subgroups, with the MMP11+Fib subgroup showing the highest activity in the TGFß signaling pathway. Single-cell analysis suggested that oxidative phosphorylation could be a key pathway driving fibroblast differentiation, and the ATRNL1+KCN + Fib subgroup exhibited chromosomal copy number variations. Prognostic analysis using a large sample size indicated that high infiltration of MMP11+ fibroblasts was associated with poor prognosis in ovarian cancer. SMR analysis identified 132 fibroblast differentiation-related genes, which were linked to pathways such as platinum drug resistance. Conclusions: In the context of ovarian cancer, fibroblasts expressing MMP11 emerge as the primary drivers of the TGF-beta signaling pathway. Their presence correlates with an increased risk of adverse ovarian prognoses. Additionally, the genetic regulation governing the differentiation of fibroblasts associated with ovarian cancer correlates with the emergence of drug resistance.
ABSTRACT
Cancer-associated fibroblast (CAF) is an essential risk factor for ovarian cancer. Exosomes can mediate cellular communication in the tumour microenvironment, but the interaction of tumour cell exosomes with CAF is less studied in Ovarian cancer. This study identified H19/miR-29c-3p/LOXL2-COL1A1 as a ceRNA regulatory network involved in regulating tumour matrix-associated signaling pathways associated with CAF. Cellular assays demonstrated that exosomes from ovarian cancer cell line SKOV3 significantly promoted the proliferation and migration of CAF. The results of mixed transplantation tumour experiments in nude mice showed that exosomes of SKOV3 significantly promoted tumour growth. Ovarian cancer tumour-derived exosomes can regulate CAF proliferation and migration through H19/miR-29c-3p/LOXL2-COL1A1. This study reveals the regulatory role of tumour exosomes on CAF, which may provide a theoretical basis for the development of therapeutic regimens targeting fibroblasts in ovarian cancer.
ABSTRACT
Nanopore sensors, a new generation of single-molecule sensors, are increasingly used to detect and analyze various analytes and have great potential for rapid gene sequencing. However, there are still some problems in the preparation of small diameter nanopores, such as imprecise pore size and porous defects, while the detection accuracy of large-diameter nanopores is relatively low. Therefore, how to achieve more precise detection of large diameter nanopore sensors is an urgent problem to be studied. Here, SiN nanopore sensors were used to detect DNA molecules and silver nanoparticles (NPs) separately and in combination. The experimental results show that large-size solid-state nanopore sensors can identify and discriminate between DNA molecules, NPs, and NP-bound DNA molecules clearly according to resistive pulses. In addition, the detection mechanism of using NPs to assist in identifying target DNA molecules in this study is different from previous reports. We find that silver NPs can simultaneously bind to multiple probes and target DNA molecules and generate a larger blocking current than free DNA molecules when passing through the nanopore. In conclusion, our research indicates that large-sized nanopores can distinguish the translocation events, thereby identifying the presence of the target DNA molecules in the sample. This nanopore-sensing platform can produce rapid and accurate nucleic acid detection. Its application in medical diagnosis, gene therapy, virus identification, and many other fields is highly significant.
ABSTRACT
Asymmetric septate uterus, commonly known as Robert's uterus, is an exceedingly rare uterine malformation described for the first time in 1970 by Robert H. Currently, surgery is the therapy of choice for Robert's uterus, with surgical choices ranging from laparotomy to minimally invasive surgery. In this paper, we reported that a 14-year-old girl with primary dysmenorrhea that gradually worsened three months after menarche had surgery after many imaging evaluations, and that the intraoperative diagnosis was Robert's uterus. The diagnostic and therapeutic laparo-endoscopic single site(LESS) combined with hysteroscopy surgery for Robert's uterine abnormality was shown via a step-by-step presentation of the method accompanied by narrated video footage. During the ten-month postoperative follow-up period, the patient had monthly recurrences with normal menstrual volume and no dysmenorrhea, demonstrating that as a minimally invasive treatment, LESS combined with hysteroscopy surgery is a successful methodfor diagnosing and treating this specific malformation.
