Circ_0002577/miR-126-5p/MACC1 axis promotes endometrial carcinoma progression by regulation of proliferation, migration, invasion, and apoptosis of endometrial carcinoma cells

Building a Hand-Curated ceRNET for Endometrial Cancer, Striving for Clinical as Well as Medicolegal Soundness: A Systematic Review

Background/Objectives: Competing endogenous RNAs (ceRNA) are molecules that compete for the binding to a microRNA (miR). Usually, there are two ceRNA, one of which is a protein-coding RNA (mRNA), with the other being a long non-coding RNA (lncRNA). The miR role is to inhibit mRNA expression, either promoting its degradation or impairing its translation. The lncRNA can "sponge" the miR, thus impeding its inhibitory action on the mRNA. In their easier configuration, these three molecules constitute a regulatory axis for protein expression. However, each RNA can interact with multiple targets, creating branched and intersected axes that, all together, constitute what is known as a competing endogenous RNA network (ceRNET). Methods: In this systematic review, we collected all available data from PubMed about experimentally verified (by luciferase assay) regulatory axes in endometrial cancer (EC), excluding works not using this test; Results: This search allowed the selection of 172 bibliographic sources, and manually building a series of ceRNETs of variable complexity showed the known axes and the deduced intersections. The main limitation of this search is the highly stringent selection criteria, possibly leading to an underestimation of the complexity of the networks identified. However, this work allows us not only to hypothesize possible gap fillings but also to set the basis to instruct artificial intelligence, using adequate prompts, to expand the EC ceRNET by comparing it with ceRNETs of other cancers. Moreover, these networks can be used to inform and guide research toward specific, though still unidentified, axes in EC, to complete parts of the network that are only partially described, or even to integrate low complexity subnetworks into larger more complex ones. Filling the gaps among the existing EC ceRNET will allow physicians to hypothesize new therapeutic strategies that may either potentiate or substitute existing ones. Conclusions: These ceRNETs allow us to easily visualize long-distance interactions, thus helping to select the best treatment, depending on the molecular profile of each patient, for personalized medicine. This would yield higher efficiency rates and lower toxicity levels, both of which are extremely relevant factors not only for patients' wellbeing, but also for the legal, regulatory, and ethical aspects of miR-based innovative treatments and personalized medicine as a whole. This systematic review has been registered in PROSPERO (ID: PROSPERO 2025 CRD420251035222).

Polyphenols as microRNA modulator in endometrial cancer: implications for apoptosis induction

Endometrial cancer (EC) accounts for approximately 417,336 cases globally, making it the sixth most commonly diagnosed cancer among women. Such factors have led to hesitancy in utilizing aggressive treatments or enrolling older patients in clinical trials. Recent molecular studies have identified unique expression patterns of microRNAs (miRNAs) in endometrial cancer tissue compared to healthy endometrial tissue, highlighting their role in tumorigenesis through pathways that support proliferation, invasion, and metastasis. Polyphenols, bioactive compounds found in a variety of plant-based foods such as fruits, vegetables, tea, and soybeans, have demonstrated diverse physiological benefits, including antioxidant, anti-inflammatory, and anticancer properties. These compounds influence cellular pathways critical to cancer progression, including apoptosis, immune modulation, and inflammation reduction. Emerging evidence suggests that polyphenols may exert anticancer effects in part by modulating miRNAs involved in carcinogenesis. Specifically, compounds like curcumin, quercetin, resveratrol, and genistein have shown potential in targeting oncogenic and tumor-suppressive miRNAs, thereby impacting cellular mechanisms linked to cancer progression. Therefore, this review examines the role of polyphenols in regulating miRNAs within the context of endometrial cancer, focusing on their potential to modulate apoptosis and other cancer hallmarks. By elucidating these mechanisms, this paper aims to contribute to the understanding of polyphenol-mediated miRNA regulation as a promising therapeutic avenue in endometrial cancer management.

Prognostic risk stratification value of MACC1 expression in patients with gastric cancer

BACKGROUND

The prognostic significance of metastasis-associated in colon cancer-1 (MACC1) has been explored in a variety of malignancies. However, its clinical relevance in patients with gastric cancer (GC) is limited, also remains controversial.

METHOD

In this study, we retrospectively evaluated the prognostic value of lesion MACC1 expression in 347 GC patients. Lesion MACC1 expression was analyzed with immunohistochemistry and grouped as MACC1low (n = 172) and MACC1high (n = 175) cases.

RESULTS

Data revealed that the degree of MACC1 expression is not related to patient sex, age and disease stage (all p > 0.05). Survival analysis showed that only post-operation advanced pT (p = 0.018), pN (p < 0.001), pM (p = 0.001) and AJCC stages (p < 0.001) are significantly associated with shorter survival, while no obvious difference was observed between MACC1low and MACC1high cases (p = 0.158). However, we found that survival for female (p = 0.032), older (p = 0.028), and early disease stage (pT stage I + II, p = 0.033) patients with MACC1high are remarkably worse than those with MACC1low.

CONCLUSION

In summary, our findings revealed that, though MACC1 expression is not associated with the survival of the whole cohort, the prognostic risk stratification value of lesion MACC1 expression in subgroups of patients with gastric cancer should be noted.

Reliable estrogen-related prognostic signature for uterine corpus endometrial carcinoma

BACKGROUND

Uterine corpus endometrial carcinoma (UCEC) is a predominant gynecological malignancy worldwide. Overdosed estrogen exposure has been widely known as a crucial risk factor for UCEC patients. The purpose of this work is to explore crucial estrogen-related genes (ERGs) in UCEC.

METHODS

UCEC scRNA-seq data, bulk RNA data, and ERGs were obtained from GEO, TCGA, and Molecular Signature Database, respectively. Differential expression analysis and cross analysis determined the candidate genes, and optimal genes in risk score were obtained after univariate Cox regression analysis, LASSO Cox regression analysis, and multivariate Cox regression analysis. The functional information was revealed by GO, KEGG, and GSVA enrichment analyses. CCK8 assay was used to detect the drug sensitivity.

RESULTS

After cross analysis of the differentially expressed genes and the 8734 ERGs, 86 differentially expressed ERGs were identified in UCEC, which were significantly enriched in some immune related pathways and microbiota related pathways. Of them, the most optimal 8 ERGs were obtained to build prognostic risk score, including GAL, PHGDH, SLC7A2, HNMT, CLU, AREG, MACC1, and HMGA1. The risk score could reliably predict patient prognosis, and high-risk patients had worse prognosis. Higher HMGA1 gene expression exhibited higher sensitivity to Osimertinib.

CONCLUSIONS

Predictive risk score based on 8 ERGs exhibited excellent prognostic value in UCEC patients, and high-risk patients had inferior survival. UCEC patients with distinct prognoses showed different tumor immune microenvironment.

Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next-generation sequencing data analysis

Background

Endometriosis is a common cause of endometrial-type mucosa outside the uterine cavity with symptoms such as painful periods, chronic pelvic pain, pain with intercourse and infertility. However, the early diagnosis of endometriosis is still restricted. The purpose of this investigation is to identify and validate the key biomarkers of endometriosis.

Methods

Next-generation sequencing dataset GSE243039 was obtained from the Gene Expression Omnibus database, and differentially expressed genes (DEGs) between endometriosis and normal control samples were identified. After screening of DEGs, gene ontology (GO) and REACTOME pathway enrichment analyses were performed. Furthermore, a protein–protein interaction (PPI) network was constructed and modules were analyzed using the Human Integrated Protein–Protein Interaction rEference database and Cytoscape software, and hub genes were identified. Subsequently, a network between miRNAs and hub genes, and network between TFs and hub genes were constructed using the miRNet and NetworkAnalyst tool, and possible key miRNAs and TFs were predicted. Finally, receiver operating characteristic curve analysis was used to validate the hub genes.

Results

A total of 958 DEGs, including 479 upregulated genes and 479 downregulated genes, were screened between endometriosis and normal control samples. GO and REACTOME pathway enrichment analyses of the 958 DEGs showed that they were mainly involved in multicellular organismal process, developmental process, signaling by GPCR and muscle contraction. Further analysis of the PPI network and modules identified 10 hub genes, including vcam1, snca, prkcb, adrb2, foxq1, mdfi, actbl2, prkd1, dapk1 and actc1. Possible target miRNAs, including hsa-mir-3143 and hsa-mir-2110, and target TFs, including tcf3 (transcription factor 3) and clock (clock circadian regulator), were predicted by constructing a miRNA-hub gene regulatory network and TF-hub gene regulatory network.

Conclusions

This investigation used bioinformatics techniques to explore the potential and novel biomarkers. These biomarkers might provide new ideas and methods for the early diagnosis, treatment and monitoring of endometriosis.

Circ_0039569 contributes to the paclitaxel resistance of endometrial cancer via targeting miR-1271-5p/PHF6 pathway

Circular RNA (circRNA) has been confirmed to be involved in the chemoresistance process of cancers. However, whether circ_0039569 mediates the chemoresistance of endometrial cancer (EC) remains unclear. Quantitative real-time PCR was performed to analyze circ_0039569, microRNA (miR)-1271-5p and PHD finger protein 6 (PHF6) expression. Cell counting kit-8 assay was used to assess the paclitaxel (PTX) resistance of cells. Cell proliferation, apoptosis and invasion were determined using EdU assay, colony formation assay, flow cytometry and transwell assay. Protein expression was examined by western blot analysis. RNA interaction was verified by dual-luciferase reporter assay and RNA pull-down assay. Xenograft tumor models were constructed to explore the effect of circ_0039569 knockdown on the PTX sensitivity of EC tumors. Circ_0039569 was upregulated in PTX-resistant EC tissues and cells. Knockdown of circ_0039569 enhanced the PTX sensitivity of EC cells by inhibiting cell growth and invasion. MiR-1271-5p could be sponged by circ_0039569, and its inhibitor abolished the regulation of circ_0039569 knockdown on the PTX sensitivity of EC cells. PHF6 was targeted by miR-1271-5p, and its overexpression eliminated the promotion effect of miR-1271-5p on the PTX sensitivity of EC cells. Also, interference of circ_0036569 enhanced the PTX sensitivity of EC tumors by regulating the miR-1271-5p/PHF6 pathway. Collectively, circ_0039569 might contribute to the PTX resistance of EC through the regulation of the miR-1271-5p/PHF6 axis.