Risk of disseminated intravascular coagulation in postpartum hemorrhage associated with intrauterine infection.

OBJECTIVE: To evaluate the risk of disseminated intravascular coagulation (DIC) in postpartum hemorrhage (PPH) associated with intrauterine infection. MATERIAL AND METHODS: A retrospective cohort study of pregnancies complicated by PPH performed at a tertiary academic center in France from 2017 through 2021. Patients giving birth after 22 weeks of gestation with PPH were eligible. Patients with a PPH associated with an intrauterine infection were compared to patients with a PPH without intrauterine infection. Intrauterine infection was defined by a composite criterion available at delivery. DIC was defined by a specific pregnancy DIC score. The association between DIC and intrauterine infection was assessed by logistic regression. The causal effect of intrauterine infection on DIC was estimated by mediation analysis. RESULTS: Of 2,093 patients with PPH, 49 exposed to a clinical intrauterine infection were compared to 49 unexposed patients. The rate of DIC was higher in patients with than without infection (22 (45.8%) vs. 7 (14.6%), P = .001), and coagulation anomalies occurred sooner in patients with than without infection (7, 2-11 h vs. 14, 9-19 h, P < .001). In the multivariate analysis, intrauterine infection was the only factor independently associated with DIC (adjusted odds ratio 5.01, 95% CI 1.83-13.73). Mediation analysis showed that 14% (95% CI, 0-50%) of this association between intrauterine infection and DIC was mediated by severe PPH, and 86% resulted from the direct effect of intrauterine infection on DIC. CONCLUSION: In PPH, intrauterine infection had a major direct effect on the occurrence, timing, and severity of DIC.

Endometriosis-associated infertility diagnosis based on saliva microRNA signatures.

RESEARCH QUESTION: Can a saliva-based miRNA signature for endometriosis-associated infertility be designed and validated by analysing the human miRNome? DESIGN: The prospective ENDOmiARN study (NCT04728152) included 200 saliva samples obtained between January 2021 and June 2021 from women with pelvic pain suggestive of endometriosis. All patients underwent either laparoscopy, magnetic resonance imaging, or both. Patients diagnosed with endometriosis were allocated to one of two groups according to their fertility status. Data analysis consisted of identifying a set of miRNA biomarkers using next-generation sequencing, and development of a saliva-based miRNA signature of infertility among patients with endometriosis based on a random forest model. RESULTS: Among the 153 patients diagnosed with endometriosis, 24% (n = 36) were infertile and 76% (n = 117) were fertile. Small RNA-sequencing of the 153 saliva samples yielded approximately 3712 M raw sequencing reads (from ∼13.7 M to ∼39.3 M reads/sample). Of the 2561 known miRNAs, the feature selection method generated a signature of 34 miRNAs linked to endometriosis-associated infertility. After validation, the most accurate signature model had a sensitivity, specificity and area under the curve of 100%. CONCLUSION: A saliva-based miRNA signature for endometriosis-associated infertility is reported. Although the results still require external validation before using the signature in routine practice, this non-invasive tool is likely to have a major effect on care provided to women with endometriosis.

Overview of non-coding RNAs in breast cancers.

Breast cancer in women is the second most common cancer and the fifth leading cause of cancer death worldwide. Although earlier diagnosis and detection of breast cancer has resulted in lower mortality rates, further advances in prevention, detection, and treatment are needed to improve outcomes and survival for women with breast cancer as well as to offer a personalized therapeutic approach. It is now well-established that non-coding RNAs (ncRNAs) represent 98% of the transcriptome but in-depth knowledge about their involvement in the regulation of gene expression is lacking. A growing body of research indicates that ncRNAs are essential for tumorigenesis by regulating the expression of tumour-related genes. In this review, we focus on their implication in breast cancer genesis but also report the latest knowledge of their theragnostic and therapeutic role. We highlight the need for accurate quantification of circulating ncRNAs which is determinant to develop reliable biomarkers. Further studies are mandatory to finally enter the era of personalized medicine for women with breast cancer.