Autophagy-related risk signature based on CDNK2A to facilitate survival prediction of patients with endometrial cancer.

BACKGROUND: Autophagy plays an important role in immunity and inflammation. The present study aimed to explore the prognostic significance of autophagy-related genes (ARGs) in endometrial cancer (EC) using bioinformatics. METHODS: The list of ARGs was obtained from the Human Autophagy Database. The differentially expressed ARGs (DEARGs) between the EC and normal endometrial tissue samples were screened from The Cancer Genome Atlas database. Cox regression analysis was performed on the DEARGs to screen the prognostic ARGs and construct risk signatures for overall survival (OS) and progression-free survival (PFS). The hub ARGs were identified from a protein-protein interaction network, and CDKN2A was obtained from the intersection of prognostic ARGs and hub ARGs. The association of CDKN2A expression with clinical characteristics and immune infiltration were analyzed. Finally, the role of CDKN2A in autophagy was confirmed in EC cell lines. RESULTS: CDKN2A, PTK6 and DLC1 were used to establish risk signatures for predicting the survival of EC patients. Receiver operating characteristic curve analysis indicated that the risk signatures can accurately predict both OS and PFS. CDKN2A was the only hub prognostic ARG, and showed significant association with the age, survival status, grade, histological type, body mass index and FIGO (i.e. International Federation of Gynecology and Obstetrics) stage (p < 0.05). Furthermore, CDKN2A expression was also correlated with the infiltration of immune cells, indicating that CDKN2A might play a critical role in regulating the immune microenvironment and immune responses in EC. In addition, silencing of CDKN2A gene promoted autophagy in the HEC-1A cell line and upregulated the expression levels of autophagy-related proteins. CONCLUSIONS: CDKN2A is a prognostic factor and therapeutic target in EC, and is likely associated with the tumor immune landscape and autophagy.

Integrative analysis of cuproptosis-associated genes for predicting immunotherapy response in single-cell and multi-cohort studies.

BACKGROUND: The role of genes associated with the cuproptosis cell signaling pathway in prognosis and immunotherapy in ovarian cancer (OC) has been extensively investigated. In this study, we aimed to explore these mechanisms and establish a prognostic model for patients with OC using bioinformatics techniques. METHODS: We obtained the single cell sequencing data of ovarian cancer from the Gene Expression Omnibus (GEO) database and preprocessed the data. We analyzed a variety of factors including cuproptosis cell signal score, transcription factors, tumorigenesis and progression signals, gene set variation analysis (GSVA) and intercellular communication. Differential gene analysis was performed between groups with high and low cuproptosis cell signal scores, as well as Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. Using bulk RNA sequencing data from The Cancer Genome Atlas, we used the least absolute shrinkage and selection operator (LASSO)-Cox algorithm to develop cuproptosis cell signaling pathword-related gene signatures and validated them with GEO ovarian cancer datasets. In addition, we analyzed the inherent rules of the genes involved in building the model using a variety of bioinformatics methods, including immune-related analyses and single nucleotide polymorphisms. Molecular docking is used to screen potential therapeutic drugs. To confirm the analysis results, we performed various wet experiments such as western blot, cell counting kit 8 (CCK8) and clonogenesis tests to verify the role of the Von Willebrand Factor (VWF) gene in two ovarian cancer cell lines. RESULTS: Based on single-cell data analysis, we found that endothelial cells and fibroblasts showed active substance synthesis and signaling pathway activation in OC, which further promoted immune cell suppression, cancer cell proliferation and metastasis. Ovarian cancer has a high tendency to metastasize, and cancer cells cooperate with other cells to promote disease progression. We developed a signature consisting of eight cuproptosis-related genes (CRGs) (MAGEF1, DNPH1, RARRES1, NBL1, IFI27, VWF, OLFML3 and IGFBP4) that predicted overall survival in patients with ovarian cancer. The validity of this model is verified in an external GEO validation set. We observed active infiltrating states of immune cells in both the high- and low-risk groups, although the specific cells, genes and pathways of activation differed. Gene mutation analysis revealed that TP53 is the most frequently mutated gene in ovarian cancer. We also predict small molecule drugs associated with CRGs and identify several potential candidates. VWF was identified as an oncogene in ovarian cancer, and the protein was expressed at significantly higher levels in tumor samples than in normal samples. The high-score model of the cuproptosis cell signaling pathway was associated with the sensitivity of OC patients to immunotherapy. CONCLUSIONS: Our study provides greater insight into the mechanisms of action of genes associated with the cuproptosis cell signaling pathway in ovarian cancer, highlighting potential targets for future therapeutic interventions.

Ovarian carcinoma immune-related microRNA affects the heterogeneity of the endocrine microenvironment and anti-tumor immune pattern.

BACKGROUND: The eighth-leading cause of cancer-related mortality and the seventh-most prevalent malignancy in women globally is ovarian cancer (OV). However, 5-year survival expectancy after conventional treatment is not good. Therefore, there is an urgent need for novel signatures to guide the designation of therapeutic schemes for OV patients. METHODS: We used univariate Cox analysis to screen hormone secretion regulation axis-related microRNAs (miRNAs), least absolute shrinkage and selection operator analysis to select candidate miRNAs and multivariate Cox analysis to build the risk model. To evaluate possible route and functional differences, enrichment analysis using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed on the differentially expressed genes (DEGs) across various risk groups. We compared Tumor Immune Dysfunction and Exclusion (TIDE) scores across risk categories by analyzing immune cell infiltration, immune checkpoint gene expression, immunological function and TIDE scores. In the end, we determined the half maximal inhibitory concentration (IC50 ) of chemotherapy and targeted medicines for individual patients. Cell assays were determined to test the migration of the miRNA-target genes and western blotting was used to test the correlation of the miRNA-target genes and the pathways. RESULTS: We finally identified hormone secretion regulation axis-related 13 microRNAs to build a risk model. The validation of observed and anticipated values revealed a fair level of agreement. To evaluate the molecular pathways between various groups in accordance with the GO and KEGG analyses, we then discovered 173 DEGs between distinct risk groups. The risk score was shown to be inversely related to the number of immune cells, including myeloid dendritic, granulocytes, M1 and M2 macrophages, B cells, t-lymphocytes, and CD4+ and CD8+ cells, suggesting that immune cells are more frequent in the low-risk group. Immune cell infiltration investigation yielded these results. Finally, we recognized 11 chemotherapeutic drugs and 30 novels targeted drugs on the basis of IC50 between the different risk groups. GJB5 was determined to be the mir-219 target gene and was identified as promoting the cell cycle process. In addition, hormone secretion regulation axis related miRNAs were reported to affects the heterogeneity of endocrine microenvironment and anti-tumor immune pattern. CONCLUSIONS: In conclusion, a 13-miRNA prognostic model was constructed to know the immune status, prognosis, immunotherapeutic response and anti-tumor drug sensitivity for OV, which provides theoretical guidance for the effective and individualized treatment of OV patients.

The inflammatory response-related robust machine learning signature in endometrial cancer: Based on multi-cohort studies.

Uterine corpus endometrial carcinoma (UCEC) is a prevalent form of cancer in women, affecting the inner lining of the uterus. Inflammation plays a crucial role in the progression and prognosis of cancer, making it important to identify inflammatory response-related subtypes in UCEC for targeted therapy and personalized medicine. This study discovered significant variation in immune response within UCEC tumors based on molecular subtypes of inflammatory response-related genes. Subtype A showed a more favorable prognosis and better response to immunotherapies like anti-CTLA4 and anti-PDCD1 therapy. Functional analysis revealed subtype-specific differences in immune response, with subtype A exhibiting higher expression of genes related to cytokine signaling pathways, NK cell-mediated cytotoxicity pathways and inflammatory processes. Subtype A also showed increased sensitivity to three chemotherapeutic agents. A 12-gene inflammatory response-related signature was found to have prognostic value for 1, 2 and 3 year survival in UCEC patients. Additionally, a validated machine learning-based signature demonstrated significant differences in clinical traits between low-risk and high-risk cohorts. Elevated risk scores were associated with higher pathological grading, older age, advanced stage and immune subtype C2. Low-risk groups had higher infiltration of immune cell types such as CD8 + T cells and activated CD4 + cells. However, the abundance of cytotoxic immune cells decreased with increasing risk scores. Finally, PCR was applied to test the different expression in P2PX4. P2RX4 knockdown inhibited the proliferation and proliferation of the endometrial carcinoma Ishikawa cell line. In conclusion, this developed signature can serve as a clinical prediction index and reveal distinct immune expression patterns. Ultimately, this study has the potential to enhance targeted therapy and personalized medicine for UCEC patients.

Intrauterine death in vasa previa without hemorrhage: case reports.

Antepartum and intrapartum hemorrhage from vasa previa (VP) is one of the main causes of intrauterine fetal death (IUFD). Here, we present two cases with type I VP in which velamentous cord insertion below the fetal head and overlying the cervix were reported by prenatal ultrasound scanning, and IUFD occoured after 35 weeks with no signs of prenatal bleeding but with engaged fetal head at presentation. We hypothesized that the IUFD may attributed to the compression of the unprotected umbilical vessels by the engaged fetal head. Thus we suggest that VP with a velamentous cord insertion should be considered for earlier termination of the pregnancy to avoid the risk of non-hemorrhagic adverse fetal outcomes.

Attachment of a trophoblastic spheroid onto endometrial epithelial cells predicts cumulative live birth in women aged 35 and older.

OBJECTIVE: To evaluate the attachment rate of a human embryonic stem cell-derived trophoblastic spheroid onto endometrial epithelial cells in predicting the cumulative live birth rate of an in vitro fertilization (IVF) cycle. DESIGN: A prospective observational study. SETTING: University hospital and research laboratory. PATIENT(S): A total of 240 infertile women from 2017-2021. INTERVENTION(S): Infertile women with regular cycles attending for IVF were recruited. An endometrial aspirate was collected from a natural cycle 1 month before IVF to determine the BAP-EB attachment rate. MAIN OUTCOME MEASURE(S): Cumulative live birth rates from a stimulated cycle and its derived frozen embryo transfer cycles within 6 months of ovarian stimulation were obtained. RESULT(S): The BAP-EB attachment rate in women who attained a cumulative live birth was similar to that in those who did not. When women were stratified by age into <35 years and ≥35 years, the BAP-EB attachment rate was significantly higher only in women aged ≥35 years having a live birth when compared with those in the same age group without a live birth. Receiver operating characteristic curve analysis of BAP-EB attachment rate in predicting cumulative live birth showed the areas under the curve of 0.559 (95% confidence interval [CI], 0.479-0.639), 0.448 (95% CI, 0.310-0.585), and 0.613 (95% CI, 0.517-0.710) for all ages, an age of <35 years, and an age of ≥35 years, respectively. CONCLUSION(S): The BAP-EB attachment rate offers only a very modest prediction of the cumulative live birth rate in women aged ≥35 years undergoing IVF. CLINICAL TRIAL REGISTRATION NUMBER: NCT02713854 (https://clinicaltrials.gov/ct2/show/NCT02713854; Date of registration, March 21, 2016; date of enrollment of the first subject, August 1, 2017).

Human embryonic stem cell-derived blastocyst-like spheroids resemble human trophectoderm during early implantation process.

OBJECTIVE: To study the use of human embryonic stem cell-derived trophoblastic spheroids (BAP-EB) as human blastocyst surrogates for studying early implantation and trophoblast development. DESIGN: Laboratory study. SETTING: University research laboratory. PATIENT(S): Infertile in vitro fertilization patients donating endometrial aspirates and human embryonic stem cells (hESCs: VAL3 and H9/WA09). INTERVENTION(S): In BAP-EB derived from hESC, transcriptomes analyzed by next-generation RNA sequencing, effects of Hippo signaling pathway studied by a YAP inhibitor, comparison of attachment of BAP-EB onto primary endometrial epithelial cells (EEC) collected at prereceptive and receptive phases, and antibody blocking assay used to study the molecule(s) involved in BAP-EB attachment. MAIN OUTCOME MEASURE(S): Gene expression profiles and endometrial cell attachment rates. RESULT(S): The BAP-EB differentiation protocol for VAL3 could be used to induce trophoblast differentiation in another hESC line, H9. Transcriptomic analysis showed that the epiblast signature gene expression was reduced while that of the trophoblast was induced during BAP-EB differentiation. Specifically, trophectoderm signature genes were induced in BAP-EB at 48 hours and 72 hours after induction of differentiation. The Hippo signaling pathway was one of the pathways induced during BAP-EB differentiation, and YAP1 inhibitor statistically significantly reduced attachment, outgrowth, and trophoblast gene expressions of BAP-EB. A statistically significantly higher number of BAP-EB derived from both VAL3 and H9 attached onto receptive EEC than prereceptive EEC. The antibody blocking assay demonstrated that endometrial E-cadherin might be critical in early implantation. CONCLUSION(S): The data suggest that BAP-EB possesses a trophectoderm-like signature, which supports the use of BAP-EB as a blastocyst surrogate for the study of trophoblast development and endometrial receptivity.

Connexin 43 is involved in early differentiation of human embryonic stem cells.

Gap junctional intercellular communication (GJIC) is important for maintaining the pluripotency of mouse embryonic stem cells (mESC). However, human ESC (hESC) have a high level of connexin (Cx) molecules with unknown function. In this study, we found that the major Cx molecule, Cx43, was highly expressed in undifferentiated hESC. It was down-regulated upon spontaneously differentiation by embryoid body formation and induced differentiation along ectoderm, mesoderm and extraembryonic lineages, but up-regulated along endoderm differentiation. The knockdown of Cx43 and GJIC had no effect on the maintenance of hESC, as demonstrated by no morphological changes and similar expression levels of pluripotent markers (OCT4, NANOG, SSEA-3 and SSEA-4) and early differentiation markers (KRT8 and KRT18). Meanwhile, Cx43 knock down had no effect on endodermal markers (SOX17, FOXA2 and CXCR4) expression when hESC were differentiating into definitive endoderm lineage. On the contrary, it led to lower levels of mesodermal markers (CD56, CD34 and PDGFR-α) when cells were undergoing mesoderm differentiation. When compared to control, Cx43 knockdown led to higher attachment rate, HCG secretion and cell invasion of the hESC derived trophoblastic cells. Cx43 knockdown also resulted in up-regulated expressions of placental hormone (ß-hCG) and implantation related genes (LIFR, CDH5, LEP, PGF, TGFBR2). Our study suggested that Cx43 and GJIC had no effect on the undifferentiated growth of hESC but affected specific lineage differentiation.

Pregnancy outcomes of blastocysts cultured overnight after thawing.

PURPOSE: To compare embryo quality and outcomes of blastocysts thawed and transferred the same day with those thawed and cultured overnight before transfer. METHODS: In this retrospective study, patients with infertility who underwent thawed embryo transfer (TET) the same day as thawing (0TET group) and those that received TET after embryos were thawed and cultured overnight before transfer (1TET group) were enrolled. Univariable and multivariable logistic regression were performed to detect the factors associated with the clinical pregnancy rate (CPR), implantation rate, miscarriage rate, and multiple pregnancy rate. RESULTS: A total of 489 patients (489 cycles) were included with 234 in the 0TET group and 255 in the 1TET group. There were no significant differences between the two groups with respect to age, body mass index (BMI), basal FSH and estradiol (E2) level, and causes of infertility (all, p > 0.05). There were no significant differences in the CPR, implantation rate, miscarriage rate, or multiple pregnancy rate between the two groups (all, p > 0.05), and this finding was irrespective of the endometrial preparation method. CONCLUSIONS: Pregnancy outcomes are the same for blastocysts thawed and cultured overnight 1 day before transfer and those thawed and transferred on the same day.

Establishment of a novel human embryonic stem cell-derived trophoblastic spheroid implantation model.

STUDY QUESTION: Can human embryonic stem cell-derived trophoblastic spheroids be used to study the early stages of implantation? SUMMARY ANSWER: We generated a novel human embryonic stem cell-derived trophoblastic spheroid model mimicking human blastocysts in the early stages of implantation. WHAT IS KNOWN ALREADY: Both human embryos and choriocarcinoma cell line derived spheroids can attach onto endometrial cells and are used as models to study the early stages of implantation. However, human embryos are limited and the use of cancer cell lines for spheroid generation remains sub-optimal for research. STUDY DESIGN, SIZE, DURATION: Experimental induced differentiation of human embryonic stem cells into trophoblast and characterization of the trophoblast. PARTICIPANTS/MATERIALS, SETTING, METHODS: Trophoblastic spheroids (BAP-EB) were generated by inducing differentiation of a human embryonic stem cell line, VAL3 cells with bone morphogenic factor-4, A83-01 (a TGF-ß inhibitor), and PD173074 (a FGF receptor-3 inhibitor) after embryoid body formation. The expressions of trophoblastic markers and hCG levels were studied by real-time PCR and immunohistochemistry. BAP-EB attachment and invasion assays were performed on different cell lines and primary endometrial cells. MAIN RESULTS AND THE ROLE OF CHANCE: After 48 h of induced differentiation, the BAP-EB resembled early implanting human embryos in terms of size and morphology. The spheroids derived from embryonic stem cells (VAL3), but not from several other cell lines studied, possessed a blastocoel-like cavity. BAP-EB expressed several markers of trophectoderm of human blastocysts on Day 2 of induced differentiation. In the subsequent days of differentiation, the cells of the spheroids differentiated into trophoblast-like cells expressing trophoblastic markers, though at levels lower than that in the primary trophoblasts or in a choriocarcinoma cell line. On Day 3 of induced differentiation, BAP-EB selectively attached onto endometrial epithelial cells, but not other non-endometrial cell lines or an endometrial cell line that had lost its epithelial character. The attachment rates of BAP-EB was significantly higher on primary endometrial epithelial cells (EEC) taken from 7 days after hCG induction of ovulation (hCG+7 day) when compared with that from hCG+2 day. The spheroids also invaded through Ishikawa cells and the primary endometrial stromal cells in the co-culture. LIMITATIONS, REASONS FOR CAUTION: The attachment rates of BAP-EB were compared between EEC obtained from Day 2 and Day 7 of the gonadotrophin stimulated cycle, but not the natural cycles. WIDER IMPLICATIONS OF THE FINDINGS: BAP-EB have the potential to be used as a test for predicting endometrial receptivity in IVF cycles and provide a novel approach to study early human implantation, trophoblastic cell differentiation and trophoblastic invasion into human endometrial cells.

[Array comparative genomic hybridization analysis of early-stage arrested human embryos].

OBJECTIVE: To investigate chromosomal euploidies in early-stage arrested human embryos. METHODS: To determine the euploidy status of the 24 chromosomes, 13 embryos were analyzed, which included 5 arrested at 4-cell stage, 4 arrested at 8-cell stage, and 4 embryos at blastocyst stage regardless of their morphological scores. All embryos were subjected to biopsy, whole genome amplification, and array comparative genome hybridization analysis. RESULTS: Chromosome euploidies of the arrested embryos can be normal, aberrant and chaotic. Mosaicism is prevalent in early stage cleavage, whilst most of the blastocysts, even with poor morphology, are normal diploid. CONCLUSION: Arrested embryo may have normal chromosomes euploidy. Mosaicism is common in cleavage stage embryos. Early stage embryo arrest may not be solely attributable to chromosomal aneuploidies and needs further research.