Role of inflammatory blood parameters from complete blood count in predicting ovarian follicular density in cancer patients undergoing ovarian tissue cryopreservation.

IF 4.2 3区 医学 Q1 REPRODUCTIVE BIOLOGY
Livia Ronchetti, Irene Terrenato, Anna Maria Lobascio, Marcello Iacobelli, Margherita Ferretti, Nouha Setti Boubaker, Francesca Sperati, Chiara Mandoj, Emanuela Mancini, Mariantonia Carosi, Enrico Vizza, Giacomo Corrado
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Abstract

Background: Inflammation is a key feature of neoplastic diseases, especially cancer. Predicting follicular density (FD) in ovarian cortical tissue is essential for evaluating ovarian tissue cryopreservation (OTC) outcomes in fertility preservation. However, to date, no studies have explored the role of inflammatory markers in predicting FD in OTC patients. This study aims to investigate the relationship between blood inflammatory parameters and FD in this population.

Methods: We conducted a retrospective observational study on 101 OTC patients. The primary goal was to assess whether parameters from Complete Blood Count (CBC) that include White Blood Cells (WBC), absolute neutrophil count, absolute lymphocyte count, Neutrophil/Lymphocyte Ratio (NLR), Mean Platelet Volume (MPV), Platelet Count (PC), MPV/PC and the Platelet/Lymphocyte Ratio (PLR) could predict FD. We also evaluated the impact of factors such as oncological diagnosis, smoking, Body Mass Index (BMI), and germline BRCA mutations. Spearman's correlation coefficient and the Mann-Whitney test were used for analysis.

Results: Significant correlations were found in patients aged between 27 and 31. In this group, NLR was inversely correlated with FD (Rho = -0.374, p = 0.032), while lymphocyte count (Rho = 0.371, p = 0.034) and MPV/PC (Rho = 0.365, p = 0.037) were positively correlated with FD. An inverse correlation was also found between PLR and FD (Rho = -0.38, p = 0.028).

Conclusions: Our findings suggest that NLR, lymphocyte count, MPV/PC and PLR may be useful in predicting FD in a subgroup of OTC patients. Larger studies are needed to confirm these results.

全血细胞计数中的炎症性血液参数在预测接受卵巢组织冷冻保存的癌症患者卵巢卵泡密度中的作用。
背景:炎症是肿瘤疾病,尤其是癌症的一个重要特征。预测卵巢皮质组织的卵泡密度(FD)对于评估卵巢组织冷冻保存(OTC)在生育保存中的效果至关重要。然而,到目前为止,还没有研究探讨炎症标志物在预测OTC患者FD中的作用。本研究旨在探讨该人群血液炎症参数与FD的关系。方法:对101例OTC患者进行回顾性观察研究。主要目的是评估全血细胞计数(CBC)参数,包括白细胞(WBC)、绝对中性粒细胞计数、绝对淋巴细胞计数、中性粒细胞/淋巴细胞比(NLR)、平均血小板体积(MPV)、血小板计数(PC)、MPV/PC和血小板/淋巴细胞比(PLR)是否可以预测FD。我们还评估了肿瘤诊断、吸烟、身体质量指数(BMI)和种系BRCA突变等因素的影响。采用Spearman相关系数和Mann-Whitney检验进行分析。结果:27 ~ 31岁患者中存在显著相关性。本组NLR与FD呈负相关(Rho = -0.374, p = 0.032),淋巴细胞计数(Rho = 0.371, p = 0.034)、MPV/PC (Rho = 0.365, p = 0.037)与FD呈正相关。PLR与FD之间也存在负相关(Rho = -0.38, p = 0.028)。结论:我们的研究结果表明NLR、淋巴细胞计数、MPV/PC和PLR可能有助于预测OTC患者亚组的FD。需要更大规模的研究来证实这些结果。
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来源期刊
Journal of Ovarian Research
Journal of Ovarian Research REPRODUCTIVE BIOLOGY-
CiteScore
6.20
自引率
2.50%
发文量
125
审稿时长
>12 weeks
期刊介绍: Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ. Topical areas include, but are not restricted to: Ovary development, hormone secretion and regulation Follicle growth and ovulation Infertility and Polycystic ovarian syndrome Regulation of pituitary and other biological functions by ovarian hormones Ovarian cancer, its prevention, diagnosis and treatment Drug development and screening Role of stem cells in ovary development and function.
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