BACKGROUND: Anti-angiogenic therapy has become one of the effective treatment methods for tumors. Long noncoding RNAs (lncRNAs) are emerging as important regulators of tumorigenesis and angiogenesis in EC. However, the underlying mechanisms of lncRNA TRPM2-AS in EC are still not clear.
METHODS: We screened the differently expressed lncRNAs that were highly associated with poor prognosis and angiogenesis of EC by bioinformatics analysis, and constructed a ceRNA network based on the prognostic lncRNAs. The subcellular localization of TRPM2-AS was determined by fluorescence in situ hybridization (FISH) and nuclear cytoplasmic fractionation assay. CCK-8, EdU, transwell, western blot, qRT-PCR and endothelial tube formation assay were used to evaluate the effects of TRPM2-AS on the proliferation, invasion, migration of EC cells and angiogenesis. The targeted microRNA (miRNA) of TRPM2-AS was predicted by bioinformatic methods. The interaction between TRPM2-AS and miR497-5p, miR497-5p and SPP1 were analyzed by RNA immunoprecipitation and dual-luciferase reporter assay. A subcutaneous tumor model was used to explore TRPM2-AS\'s function in vivo. CIBERSORT was used to analyze the correlation between TRPM2-AS and immune cell immersion in EC.
RESULTS: We found that the expression of TRPM2-AS and SPP1 was aberrantly upregulated, while miR-497-5p expression was significantly downregulated in EC tissues and cells. TRPM2-AS was closely correlated with the angiogenesis and poor prognosis in EC patients. Mechanistically, TRPM2-AS could sponge miR-497-5p to release SPP1, thus promoting the proliferation, invasion and migration of EC cells and angiogenesis of HUVECs. Knockdown of TRPM2-AS in xenograft mouse model inhibited tumor proliferation and angiogenesis in vivo. In addition, TRPM2-AS plays a vital role in regulating the tumor immune microenvironment of EC, overexpression of TRPM2-AS in EC cells stimulated the polarization of M2 macrophages and angiogenesis through secreting SPP1 enriched exosomes.
CONCLUSIONS: The depletion of TRPM2-AS inhibits the oncogenicity of EC by targeting the miR-497-5p/SPP1 axis. This study offers a better understanding of TRPM2-AS\'s role in regulating angiogenesis and provides a novel target for EC treatment.

BACKGROUND: Patients with mismatch repair-deficient (MMRd) endometrial cancer (EC) can derive great benefit from immune checkpoint inhibitors (ICI). However not all responses and predictors of primary resistance are lacking.
METHODS: We compared the immune tumor microenvironment of MMRd EC ICI-responders (Rs) and ICI non-responders (NRs), using spatial multiplexed immune profiling and unsupervised hierarchical clustering analysis.
RESULTS: Overall, NRs exhibited drastically lower CD8+, absent terminally differentiated T cells, lack of mature tertiary lymphoid structures and dendritic cells, as well as loss of human leukocyte antigen class I. However, no single marker could predict R versus NR with confidence. Clustering analysis identified a combination of four immune features that demonstrated that accurately predicted ICI response, with a discriminative power of 92%. Finally, 80% of NRs lacked programmed death-ligand 1, however, 60% exhibited another actionable immune checkpoint (T-cell immunoglobulin and mucin containing protein-3, indoleamine 2,3-dioxygenase 1, or lymphocyte activation gene 3).
CONCLUSIONS: These findings underscore the potential of immune tumor microenvironment features for identifying patients with MMRd EC and primary resistance to ICI who should be oriented towards trials testing novel immunotherapeutic combinations.

OBJECTIVE: Molecular features are essential for estimating the risk of recurrence and impacting overall survival in patients with endometrial cancer. Additionally, the surgical procedure itself could be personalized based on the molecular characteristics of the tumor. This study aims to assess the feasibility of obtaining reliable molecular classification status from biopsy specimens collected during hysteroscopy to better modulate the appropriate surgical treatment.
METHODS: This monocentric, retrospective, observational study was conducted on 106 patients who underwent a biopsy procedure followed by radical surgery for endometrial cancer, with concurrent molecular investigation. The molecular classification was determined through immunohistochemical staining for p53 and mismatch repair proteins, along with gene sequencing for POLE.
RESULTS: Overall, 106 patients underwent molecular investigation, which was finally achieved on 99 patients (93.4%). Among these, the molecular analysis was conducted in 71 patients (67%) on the pre-operative endometrial biopsy and on the final uterine specimen in 28 patients (26.4%). Most of the endometrial biopsies were performed using Bettocchi hysteroscopy (66%). Molecular analysis was not possible in seven patients (6.6%), with six cases due to sample inadequacy and one case attributed to intra-mucosal carcinoma. The molecular results showed that the copy number low sub-group was the most common, and five cases of \'multiple classifiers\' were observed in the low-risk category.
CONCLUSIONS: Our experience in obtaining molecular information from biopsy samples underscores the feasibility and efficacy of this technique, even in small tissue samples. This capability helps define the prognostic group of patients, facilitates timely decision-making, and develops a personalized strategy for each patient.

BACKGROUND: Endometrial cancer is a multifactorial disease with inflammatory, metabolic and potentially microbial cues involved in disease pathogenesis. The endometrial cancer microbiome has been poorly characterised so far and studies have often overestimated bacterial biomass due to lack of integration of appropriate contamination controls. There is also a scarcity of evidence on the functionality of microbial microenvironments in endometrial cancer. This work addresses that knowledge gap by interrogating the genuine, contamination-free microbial signatures in the female genital tract and rectum of women with endometrial cancer and the mechanistic role of microbiome on carcinogenic processes.
RESULTS: Here we sampled different regions of the reproductive tract (vagina, cervix, endometrium, fallopian tubes and ovaries) and rectum of 61 patients (37 endometrial cancer; 24 benign controls). We performed 16S rRNA gene sequencing of the V1-V2 hypervariable regions and qPCR of the 16S rRNA gene to qualitatively and quantitatively assess microbial communities and used 3D benign and endometrial cancer organoids to evaluate the effect of microbial products of L. crispatus, which was found depleted in endometrial cancer patients following primary analysis, on endometrial cell proliferation and inflammation. We found that the upper genital tract of a subset of women with and without endometrial cancer harbour microbiota quantitatively and compositionally distinguishable from background contaminants. Endometrial cancer was associated with reduced cervicovaginal and rectal bacterial load together with depletion of Lactobacillus species relative abundance, including L. crispatus, increased bacterial diversity and enrichment of Porphyromonas, Prevotella, Peptoniphilus and Anaerococcus in the lower genital tract and endometrium. Treatment of benign and malignant endometrial organoids with L. crispatus conditioned media exerted an anti-proliferative effect at high concentrations but had minimal impact on cytokine and chemokine profiles.
CONCLUSIONS: Our findings provide evidence that the upper female reproductive tract of some women contains detectable levels of bacteria, the composition of which is associated with endometrial cancer. Whether this is a cause or consequence of cancer pathophysiology and what is the functional significance of this finding remain to be elucidated to guide future screening tools and microbiome-based therapeutics. Video Abstract.

OBJECTIVE: To investigate whether performing a lymph node dissection during hysterectomy improves overall survival in patients with clinical stage III endometrial cancer who received neoadjuvant chemotherapy.
METHODS: The National Cancer Database was queried to identify all patients with clinical stage III endometrial cancer who had undergone pre-operative chemotherapy as first course of treatment followed by hysterectomy with or without lymph node dissection between the years 2004 and 2020. Univariable and multivariable models were performed to investigate prognostic factors on overall survival.
RESULTS: This study analyzed 2882 patients with clinical stage III endometrial cancer who received upfront chemotherapy. Among those who underwent lymph node dissection, 38% had positive lymph nodes. Factors found to be independently associated with improved survival included lymph node dissection (p<0.001), adjuvant radiation (p<0.001), histology (p<0.001), tumor grade (p<0.001), pathologic node status (p<0.001), age (p<0.001), type of insurance (p=0.027), and race (p<0.001). Patients who underwent lymph node dissection at time of hysterectomy had a significantly better overall survival (107 vs 85 months; p<0.001). Multivariate and propensity score analyses robustly demonstrated that lymph node dissection significantly improved overall survival (HR 0.69, 95% CI 0.57 to 0.84, p<0.001), even among patients with pathologically negative lymph nodes.
CONCLUSIONS: Our study suggests that performing lymph node dissection at the time of hysterectomy is associated with improved overall survival in all patients with stage III endometrial cancer who receive upfront chemotherapy, regardless of age, race, insurance status, histologic subtype, tumor grade, pathologic node status, adjuvant radiation or chemotherapy. Notably, patients with high-risk disease may particularly benefit from this approach.

Abnormal uterine bleeding (AUB) is the most common and frequent presenting complaint in Gynaecology in all age group especially in perimenopausal and postmenopausal women. The spectrum of AUB in women of our country includes a wide varieties of organic pathology. The objective of this study was to assess the role of endometrial thickness as a predictor of endometrial malignancy among the women presenting with AUB. This cross-sectional descriptive type of observational study was conducted among 122 women of perimenopausal (40-50 years) and 87 women of postmenopausal (>50 years) age group presenting with AUB in the Obstetrics and Gynaecology department of Mymensingh Medical College Hospital, Bangladesh from February 2020 to August 2021. These patients were subjected to a detailed history and meticulous general, systemic and local examination. The relevant investigations like Transvaginal Sonography (TVS) followed by endometrial biopsy by dilatation and curettage were done in all study participants. Most of the women were in the age group 41-45 years in perimenopause and 51-55 years in postmenopause. Mean±SD was 45.8±4.1 years in perimenopause and 56.3±6.4 years in postmenopause. There was statistical significance in developing endometrial malignancy regarding risk factors of nulliparity, Hypertention (HTN), Diabetes mellitus (DM) and hormone intake between perimenopause and postmenopause. Endometrial thickness was measured in perimenopause and postmenopause. Mean±SD of Endometrial thickness (ET) in perimenopause and postmenopause was 11.3±4.4mm and 7.2±6.3mm with statistical significance (p<0.001). Sensitivity, specificity, Positive predictive value (PPV), Negative predictive value (NPV) and accuracy of TVS were 85.5%, 67.4%, 81.2%, 73.8% and 78.7% in perimenopause and 85.9%, 20%, 89%, 75% & 83.9% in postmenopause. Cut off limit of ET in detection of endometrial malignancy was 18.5mm with sensitivity 74.8% and specificity 63.6% in perimenopause and 12.2mm with sensitivity 81.0% and specificity 65.8% in postmenopausal women. Women with AUB, endometrial malignancy should be suspected when endometrial thickness on TVS >18.5mm and >12.2mm in perimenopause and postmenopausal age group respectively. TVS has high sensitivity in detection of endometrial malignancy both in perimenopausal and postmenopausal women with AUB and TVS is a reliable, noninvasive method.

Several studies have confirmed the important role of endometrial cancer (EC) in the development and progression of breast cancer (BC), and this study will explore the causal relationship between EC and BC by 2-sample Mendelian randomization analysis. Pooled data from published genome-wide association studies were used to assess the association between EC and BC risk in women using 5 methods, namely, inverse variance weighting (IVW), MR-Egger, weighted median (WME), simple multimaximetry (SM) and weighted multimaximetry (WM) with the EC-associated genetic loci as the instrumental variables (IV) and sensitivity analyses were used to assess the robustness of the results. The statistical results showed a causal association between EC and BC (IVW: OR = 1.07, 95% CI = 1.01-1.32, P = .02; MR-Egger: OR = 1.21, 95% CI = 0.71-1.51, P = .11; weighted median: OR = 1.05, 95% CI = 0.97-1.31, P = .19; simple plurality method: OR = 0.98, 95% CI = 0.81-1.15, P = .78; weighted plurality method: OR = 0.98, 95% CI = 0.81-1.14, P = .75), and the results of the sensitivity analyses showed that there was no significant heterogeneity or multiplicity, and the results were stable. EC is associated with an increased risk of developing BC. The results of this MR analysis can be used as a guideline for screening for BC in women with EC and to help raise awareness of screening for early detection and treatment.

暂无摘要。

OBJECTIVE: Fertility-sparing treatment (FST) might be considered an option for reproductive patients with low-risk endometrial cancer (EC). On the other hand, the matching rates between preoperative assessment and postoperative pathology in low-risk EC patients are not high enough. We aimed to predict the postoperative pathology depending on preoperative myometrial invasion (MI) and grade in low-risk EC patients to help extend the current criteria for FST.
METHODS: This ancillary study (KGOG 2015S) of Korean Gynecologic Oncology Group 2015, a prospective, multicenter study included patients with no MI or MI <1/2 on preoperative MRI and endometrioid adenocarcinoma and grade 1 or 2 on endometrial biopsy. Among the eligible patients, Groups 1-4 were defined with no MI and grade 1, no MI and grade 2, MI <1/2 and grade 1, and MI <1/2 and grade 2, respectively. New prediction models using machine learning were developed.
RESULTS: Among 251 eligible patients, Groups 1-4 included 106, 41, 74, and 30 patients, respectively. The new prediction models showed superior prediction values to those from conventional analysis. In the new prediction models, the best NPV, sensitivity, and AUC of preoperative each group to predict postoperative each group were as follows: 87.2%, 71.6%, and 0.732 (Group 1); 97.6%, 78.6%, and 0.656 (Group 2); 71.3%, 78.6% and 0.588 (Group 3); 91.8%, 64.9%, and 0.676% (Group 4).
CONCLUSIONS: In low-risk EC patients, the prediction of postoperative pathology was ineffective, but the new prediction models provided a better prediction.

Editor\'s Note.-RadioGraphics Update articles supplement or update information found in full-length articles previously published in RadioGraphics. These updates, written by at least one author of the previous article, provide a brief synopsis that emphasizes important new information such as technological advances, revised imaging protocols, new clinical guidelines involving imaging, or updated classification schemes.