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Background: Ovulation induction (OI) in patients with polycystic ovary syndrome (PCOS) remains challenging, and several biomarkers have been evaluated for their ability to predict ovulation. The predictive ability of candidate biomarkers, particularly with letrozole-based therapy in infertile PCOS women, remains inconclusive as it is yet to be evaluated in a prospective study.
Aim: To assess the role of anti-Müllerian hormone (AMH), follicle-stimulating hormone (FSH), luteinising hormone (LH)/FSH ratio, testosterone and free androgen index (FAI) as predictors of ovarian response to letrozole-based OI therapy during OI cycles in infertile women with PCOS from North India.
Settings And Design: A prospective cohort study was conducted in a tertiary care hospital in north India.
Materials And Methods: The study enrolled 80 infertile women with PCOS, diagnosed according to the Rotterdam criteria. OI was conducted using letrozole with or without human menopausal gonadotropin. Baseline endocrine and metabolic parameters, including serum AMH, FSH, LH, testosterone and FAI levels, were measured using ELISA or chemiluminescence methods on day 2 of the menstrual cycle. Follicular response to OI was monitored by transvaginal ultrasonography.
Statistical Analysis Used: Descriptive and inferential statistical analyses were conducted, including Mann-Whitney, Kruskal-Wallis, Independent -test, analysis of variance, Fisher's exact test and receiver operating characteristic curve analysis. Data were processed using Microsoft Excel and analysed with SPSS software, version 25.0. < 0.05 was considered statistically significant.
Results: Of 80 women enrolled, 74 responded to letrozole-based OI, while six were non-responders. Body mass index (BMI), serum testosterone and pre-treatment AMH levels significantly correlated with follicular response, with higher values linked to reduced responsiveness. The likelihood ratio+ (95% confidence interval) was 3.32 (2.45-5.06) for AMH, 1.97 (1.03-3.78) for BMI and 1.93 (1.22-3.08) for testosterone. The odds ratio for AMH was 2.88 (1.01-8.21) and 1.25 (1.02-1.53) for BMI. An AMH cut-off of ≤16.43 ng/mL predicted ovarian response with an AUC of 0.88.
Conclusions: Pre-treatment AMH levels, along with BMI and serum testosterone, are significant predictors of ovarian response to letrozole-based OI in infertile women with PCOS.
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http://dx.doi.org/10.4103/jhrs.jhrs_133_24 | DOI Listing |
JMIR Cancer
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iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
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Division of Hematology and Oncology, University of California Los Angeles, Los Angeles, CA.
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Department of Computer Engineering, Social and Biological Network Analysis Laboratory, University of Kurdistan, Sanandaj, Iran.
Background: Ovarian cancer (OC) remains the most lethal gynecological malignancy, largely due to its late-stage diagnosis and nonspecific early symptoms. Advances in biomarker identification and machine learning offer promising avenues for improving early detection and prognosis. This review evaluates the role of biomarker-driven ML models in enhancing the early detection, risk stratification, and treatment planning of OC.
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Toxicogenomics Unit, National Institute of Public Health, Prague, Czech Republic; Laboratory of Pharmacogenomics, Biomedical Centre, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic. Electronic address:
Patients with epithelial ovarian cancer (EOC) face high mortality due to late diagnosis, recurrence, metastasis, and drug resistance. The NOTCH signaling pathway plays a critical role in cancer progression. This study analyzed NOTCH pathway deregulation in EOC patients and its response to taxane treatment in vitro and in vivo.
View Article and Find Full Text PDFCancer Immunol Res
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The Wistar Institute, Philadelphia, PA, United States.
Ovarian cancer remains a major health threat with limited treatment options available. It is characterized by immunosuppressive tumor microenvironment (TME) maintained by tumor-associated macrophages (TAMs) hindering anti-tumor responses and immunotherapy efficacy. Here we show that targeting retinoblastoma protein (Rb) by disruption of its LxCxE cleft pocket causes preferential cell death in Rbhigh M2 polarized or M2-like Rbhigh immunosuppressive TAMs by induction of ER stress, p53 and mitochondria-related cell death pathways.
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