The purpose of this prospective observational study was to evaluate whether the assessment of AMH and AFC is useful in the prediction of ovarian response in expected normal responders treated with a fixed dose of recombinant FSH (rec-FSH) and GnRH antagonists. A base model including age and basal FSH as independent predictors of COCs could explain 15% of the variance observed in the number of COCs retrieved (p = 0.002). The addition of AFC did not increase significantly the predictive ability of the above model, whereas the addition of AMH increased the performance of the base model by 13% (p < 0.001). Logistic regression analysis showed that only when AMH was added to the base model, including age and FSH, its predictive capacity for high ovarian response was statistically significant (F-test: p = 0.001; c-statistic: 0.80, 95% CI: 0.70-0.88), but this was not the case for poor ovarian response. In conclusion, the addition of AMH, but not of AFC, to a model including female age and basal FSH, is useful in the prediction of ovarian response in expected normal responders treated with a fixed dose of recombinant FSH and GnRH antagonists.
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http://dx.doi.org/10.3109/09513590.2014.938624 | DOI Listing |
Front Immunol
January 2025
Department of Gynecology, Sichuan Provincial Women's and Children's Hospital, The Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Backgrounds: Collagen type I alpha 1 chain (COL1A1) is a key protein encoding fibrillar collagen, playing a crucial role in the tumor microenvironment (TME) due to its complex functions and close association with tumor invasiveness. This has made COL1A1 a focal point in cancer biology research. However, studies investigating the relationship between COL1A1 expression levels and clinical characteristics of ovarian cancer (OC) remain limited.
View Article and Find Full Text PDFActa Endocrinol (Buchar)
January 2025
"Carol Davila" University of Medicine and Pharmacy, Faculty of Medicine.
Background: Chronic inflammation is associated with different cancers, and is identified as a key pathogenic mechanism in ovarian cancer. The purpose of our study was to evaluate systemic inflammation markers, as predictive and prognostic factors, in ovarian cancer patients with initial surgical treatment.
Subjects And Methods: We performed a retrospective study on 60 ovarian cancer patients with primary cytoreduction surgery, between 2010-2018, with a follow-up period of at least one year.
Front Oncol
January 2025
Department of Gynecology, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China.
Introduction: This study predicted HRD score and status based on intra- and peritumoral radiomics in patients with ovarian cancer (OC) for better guiding the use of PARPi in clinical.
Methods: A total of 106 and 95 patients with OC were included between January 2022 and November 2023 for predicting HRD score and status, respectively. Radiomics features were extracted and quantitatively analyzed from intra- and peri-tumor regions in the CT image.
Reprod Biol Endocrinol
January 2025
Department of Reproductive Medicine Center, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, The People's Republic of China.
Objective: This study aimed to develop a predictive model for the risk of no usable blastocyst formation in patients with normal ovarian reserve undergoing IVF.
Methods: The model was derived from 7,901 patients who underwent their first oocyte retrieval and subsequent blastocyst culture, of which 446 cases have no usable blastocysts formed. Univariate regression analyses, least absolute shrinkage and selection operator regression analysis were used to identify the association of patient and cycle characteristics with the presence of no available blastocyst and to create a nomogram.
Cancer Gene Ther
January 2025
Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Ovarian cancer is a leading cause of cancer-related deaths in women, and the development of chemoresistance remains a major challenge during and after its treatment. Exosomes, small extracellular vesicles involved in intercellular communication, have emerged as potential biomarkers and therapeutic targets in ovarian cancer. This review summarizes the current literature on differences in exosomal protein/gene expression between chemosensitive and chemoresistant ovarian cancer, and the effects of exosomal modifications on chemotherapeutic response.
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