Sentinel node biopsy (SNB) is performed worldwide in patients with endometrial cancer (EC). The aim of this study was to evaluate and compare the occurrence rate of lymphatic complications between SNB and pelvic lymphadenectomy (LND) for EC. The medical records of women who underwent SNB or pelvic LND for EC between September 2012 and April 2022 were assessed. A total of 388 patients were enrolled in the current study. Among them, 201 patients underwent SNB and 187 patients underwent pelvic LND. The occurrence rates of lower-extremity lymphedema (LEL) and pelvic lymphocele (PL) were compared between the patients who underwent SNB and those who underwent pelvic LND. The SNB group had a significantly lower occurrence rate of lower-extremity LEL than the pelvic LND group (2.0% vs. 21.3%, p < 0.01). There were no patients who had PL in the SNB group; however, 4 (2.1%) patients in the pelvic LND group had PL. The occurrence rates of lower-extremity LEL and PL were significantly lower in patients who underwent SNB than those who underwent pelvic LND. SNB for EC has a lower risk of lymphatic complications compared to systemic LND.

Ovarian clear cell carcinomas (OCCs) arise from endometriotic cysts that many women develop. Biomarkers for early OCC detection need to be identified. Extracellular vesicles have attracted attention as biomarker carriers. This study aims to identify cancer-specific miRNAs as novel OCC biomarkers using tissue-exudative extracellular vesicles (Te-EVs). Te-EVs were collected from four patients with OCC on one side and a normal ovary on the other side. Microarray analysis was performed to identify cancer-specific miRNAs in Te-EVs. Serum samples obtained before and after surgery from patients with OCC and atypical endometrial hyperplasia (AEH) (controls) were compared using real-time PCR to examine changes in the detected EV miRNA levels. Thirty-seven miRNAs were >2-fold upregulated on the OCC side compared with the normal ovarian side. We selected 17 miRNAs and created specific primers for 12 of these miRNAs. The levels of six EV miRNAs were significantly decreased in postoperative OCC serum compared to those in preoperative OCC serum. In contrast, no significant change was observed between the pre and postoperative values in the control group. We identified OCC tissue-specific miRNAs in the EVs secreted by OCC tissues. These EV miRNAs have potential for use as biomarkers for the early diagnosis and detection of OCC.

Background: The sentinel lymph node is the first node that cancer cells reach when migrating from the primary site. However, oncological outcomes after sentinel lymph node biopsy (SNB) have not been reported for cervical cancer. In this study, oncological outcomes were compared between patients receiving SNB and pelvic lymphadenectomy (PLD) for early-stage cervical cancer. Methods: One hundred and four patients with clinical stage 1A2, 1B1, and 2A1 cervical cancer were included in this study. All patients underwent laparoscopic or robot-assisted radical hysterectomy with SNB or PLD. Fifty-two patients with tumors ≤2 cm underwent SNB. Disease-free survival (DFS) and overall survival (OS) were compared between the groups. Results: The median (interquartile range) tumor size was 12 (7–20) mm in the SNB group and 20 (13–25) mm in the PLD group. Lymph node metastasis occurred in one patient in the SNB group and in nine patients in the PLD group. The median follow-up periods were 42 (24–60) and 82 (19–101) months in the SNB group and PLD group, respectively. The 3-year DFS rates were 100% in SNB and 91.5% in PLD. The 3-year OS was 100% in both groups. Conclusions: SNB was sufficient in cervical cancer patients with tumors ≤2 cm, suggesting that PLD might not be necessary for these patients.

Background: The application of personalized cancer treatment based on genetic information and surgical samples has begun in the field of cancer medicine. However, a biopsy may be painful for patients with advanced diseases that do not qualify for surgical resection. Patient-derived xenografts (PDXs) are cancer models in which patient samples are transplanted into immunodeficient mice. PDXs are expected to be useful for personalized medicine. The aim of this study was to establish a PDX from body fluid (PDX-BF), such as peritoneal and pleural effusion samples, to provide personalized medicine without surgery. Methods: PDXs-BF were created from patients with ovarian cancer who had positive cytology findings based on peritoneal and pleural effusion samples. PDXs were also prepared from each primary tumor. The pathological findings based on immunohistochemistry were compared between the primary tumor, PDX, and PDX-BF. Further, genomic profiles and gene expression were evaluated using DNA and RNA sequencing to compare primary tumors, PDXs, and PDX-BF. Results: Among the 15 patients, PDX-BF was established for 8 patients (5 high-grade serous carcinoma, 1 carcinosarcoma, 1 low-grade serous carcinoma, and 1 clear cell carcinoma); the success rate was 53%. Histologically, PDXs-BF have features similar to those of primary tumors and PDXs. In particular, PDXs-BF had similar gene mutations and expression patterns to primary tumors and PDXs. Conclusions: PDX-BF reproduced primary tumors in terms of pathological features and genomic profiles, including gene mutation and expression. Thus, PDX-BF may be a potential alternative to surgical resection for patients with advanced disease.

Ferroptosis plays an important role in various cancer processes and is regulated by microRNAs. This study aimed to establish a prognostic model based on ferroptosis-related microRNAs (FermiRNAs) to predict the prognosis of endometrial cancer (EC). Tumor transcriptomes and corresponding clinical data of 544 EC patients were downloaded from the cancer genome atlas database, and the ferroptosis database (FerrDb) was used to identify ferroptosis-related genes (mRNAs). FermiRNAs in EC were selected based on their correlation with ferroptosis-related genes. Univariate and multivariate Cox regression analyses were conducted to construct a prognostic model based on the miRNA signature. EC patients were grouped into high- and low-risk categories based on the risk score of the prognostic model. Kaplan–Meier survival analysis and time-dependent receiver operating characteristic (ROC) curves were used to evaluate the prognostic value of risk scores. A predictive nomogram was then established. Finally, we compared the proportion of infiltrating immune cells and the expression of potential immune checkpoints between the 2 groups to understand the tumor immune microenvironment associated with signature FermiRNAs. A prognostic model based on the 2 FermiRNAs (miR-4635 and miR-3131) was developed. Kaplan–Meier survival analysis indicated that patients with high-risk scores had worse overall survival ( P < .001). ROC curves showed that the area under curve values of the prognostic model were 0.621, 0.712, and 0.696 for 1, 3, and 5 years, respectively, indicating good predictive ability. ROC curves also indicated that the prognostic model had a better capability to predict the prognosis of patients with EC than the other clinical factors. A predictive nomogram suggested that the risk model could offer independent prognostic evaluation with high accuracy. The tumor immune microenvironment, including infiltrating immune cells and immune checkpoints, showed several differences between patients with high- and low-risk scores. In an external validation cohort (213 EC patients from the clinical proteomic tumor analysis consortium dataset), 2 FermiRNAs were confirmed to be associated with EC prognosis in the same manner. A novel ferroptosis-related miRNA prognostic model is useful for predicting the prognosis of patients with EC.

Background: As a newly recognized type of cell death implicated in cancer, ferroptosis plays multiple roles in tumor biology. Here, we sought to construct a prognostic framework for EC on the basis of ferroptosis-related long non-coding RNAs (FerlncRNAs), microRNAs (FermiRNAs), and mRNAs (FRGs) for endometrial cancer (EC). Methods: Transcriptomic profiles of tumors and matched clinical data for 544 EC patients were retrieved from TCGA-UCEC. A prognostic framework was generated through Cox regression, integrating ferroptosis-linked lncRNAs, miRNAs, and mRNAs. EC cases were stratified into groups with high or low predicted risk based on ferroptosis-related gene expression. The model’s prognostic utility was examined through Kaplan–Meier (K–M) analysis and receiver operating characteristic curves. Results: A prognostic model based on 16 RNAs, including 10 FerlncRNAs, 2 FermiRNAs, and 4 FRGs, was developed. Analysis using K–M plots showed that high-risk patients experienced shorter overall survival than their low-risk counterparts (p < 0.001). The model’s area under curve (AUC) values were 0.731, 0.749, and 0.768 at 1-, 3-, and 5-year time points, surpassing those of standard clinical parameters. Furthermore, in an external validation cohort, these signature RNAs were associated with EC prognosis. Conclusions: The novel ferroptosis-related lncRNA–miRNA–mRNA prognostic model provides a basis to assess clinical prognosis in EC patients.