Hasil untuk "Gynecology and obstetrics"

Caihong Hu, Ping Li, Xiao’e Jiang et al.

Julian D. Schiller, Lars Grüne, and Matthias A. Müller

In this paper, we develop novel accuracy and performance guarantees for optimal state estimation of general nonlinear systems (in particular, moving horizon estimation, MHE). Our results rely on a turnpike property of the optimal state estimation problem, which essentially states that the omniscient infinite-horizon solution involving all past and future data serves as turnpike for the solutions of finite-horizon estimation problems involving a subset of the data. This leads to the surprising observation that MHE problems naturally exhibit a leaving arc, which may have a strong negative impact on the estimation accuracy. To address this, we propose a delayed MHE scheme, and we show that the resulting performance (both averaged and non-averaged) is approximately optimal and achieves bounded dynamic regret with respect to the infinite-horizon solution, with error terms that can be made arbitrarily small by an appropriate choice of the delay. In various simulation examples, we observe that already a very small delay in the MHE scheme is sufficient to significantly improve the overall estimation error by 20-25 % compared to standard MHE (without delay). This finding is of great importance for practical applications (especially for monitoring, fault detection, and parameter estimation) where a small delay in the estimation is rather irrelevant but may significantly improve the estimation results.

Lishan Fang, Hua-Lin Huang, Shengyuan Ruan et al.

This paper demonstrates that third-order real symmetric tensors cannot be classified up to equivalence by their eigenvalues only, thereby resolving a problem posed by Qi in 2006. By applying Harrison's center theory, we derive equivalence classes of $2 \times 2 \times 2$ symmetric tensors via the one-to-one correspondence with the canonical forms of their associated binary cubics. For such tensors, we compute the explicit characteristic polynomials and discover two previously unknown coefficients using the combination resultant. Pairs of third-order real symmetric tensors of all dimensions with identical eigenvalues but belonging to different equivalence classes are constructed to illustrate the inapplicability of eigenvalues for classification.

Naomi Hull, Anusha Bradley, Monique Boatwright et al.

ABSTRACT In 2024, the New Zealand (NZ) government made a rare departure from the joint food standards programme with Australia, administered by Food Standards Australia New Zealand (FSANZ). This paper presents a timely case study of how transnational dairy and baby food corporations lobbied the NZ government to reject updated infant formula standards, despite strong evidence and support across Australia for reform. Globally, transnational corporations dominate commercial milk formula industry, and industry and utilise lobbying strategies to delay and limit regulation. Drawing on original data from official information act requests, we examine the political dynamics surrounding infant formula regulation and the implications for breastfeeding protection and health governance in the region. Despite FSANZ's evidence‐based decisions to improve labelling, restrict health claims, and enhance consumer protection, NZ bowed to the lobbying pressure of key companies who had cited risks to exports, jobs and future product development. Lobbying by these companies targeted the Prime Minister and key ministers, demonstrating a remarkable level of access and influence. This case exposes the weaknesses in NZ's political transparency laws, where no mandatory lobbying registers and reporting requirements exist. We conclude that it is crucial for governments to make policy decisions without the influence of the baby food industry and provide a strong argument for better regulation of corporate lobbying. Infant and young child health must be prioritised over profit.

Cansu Turker Saricoban, Ayse Yavuz, Yagmur Arslan et al.

Objectives: Extrarenal Wilms tumor (ERWT) is an exceedingly rare neoplasm, particularly when located in the uterine cervix. Methods: We report the case of a 26-year-old nulliparous female who presented with a large cervical mass and underwent clinical, radiological, and pathological evaluation. Results: Initial biopsy revealed biphasic morphology with atypical epithelial and stromal components, while the absence of a blastemal component posed a diagnostic challenge. Subsequent excision demonstrated classic triphasic morphology, confirming the diagnosis of ERWT. The patient underwent fertility-preserving surgery followed by adjuvant chemotherapy and remains disease-free at one-year follow-up. Conclusions: This case highlights the importance of considering ERWT in the differential diagnosis of cervical tumors and demonstrates that standard renal Wilms tumor treatment protocols can be effectively adapted to extrarenal locations.

Yaqin Yang, Meijun Pan, Wenyuan Zhu et al.

Abstract Background Excessive exposure to heavy metals has been linked to various health problems, including organ damage, neurological disorders, and reproductive and developmental abnormalities. However, the relationship between heavy metals exposure and uterine fibroids remains uncertain. To explore this association, we conducted a cross-sectional study among American women. Methods We utilized data from three cycles of the National Health and Nutrition Examination Survey (NHANES, 1999–2006) to evaluate the association between uterine fibroids and blood heavy metal levels, including lead (Pb), cadmium (Cd), and mercury (Hg). Weighted logistic regression, restricted cubic spline (RCS), Bayesian kernel machine regression (BKMR), and subgroup analyse were used to examine the potential relationships between blood heavy metals and uterine fibroids. Results Of the 4502 American women studied, 542 (12.04%) had uterine fibroids. Elevated levels of all heavy metals were significantly more common in women with uterine fibroids (P < 0.001). Blood Hg levels were notably associated with uterine fibroid prevalence in the adjusted model (OR = 1.41, 95% CI: 1.06–1.89, p = 0.03). Similar patterns were partly observed for blood Pb and Cd. Age and marital status were significant interaction factors concerning Hg exposure (P for interaction < 0.05). A dose-response relationship with an inflection point at 7µmol/L was identified for Hg, and BKMR models indicated a positive association between mixed heavy metal exposure and uterine fibroid risk. Conclusions Exposure to blood heavy metals, particularly Hg, is significantly associated with an elevated risk of uterine fibroids. Further prospective studies are necessary to confirm these findings.

Xin Liu, Jiamin Wu, and Wenfei Yang et al.

Pre-trained Vision-Language Models (VLMs), like CLIP, exhibit strong generalization ability to downstream tasks but struggle in few-shot scenarios. Existing prompting techniques primarily focus on global text and image representations, yet overlooking multi-modal attribute characteristics. This limitation hinders the model's ability to perceive fine-grained visual details and restricts its generalization ability to a broader range of unseen classes. To address this issue, we propose a Multi-modal Attribute Prompting method (MAP) by jointly exploring textual attribute prompting, visual attribute prompting, and attribute-level alignment. The proposed MAP enjoys several merits. First, we introduce learnable visual attribute prompts enhanced by textual attribute semantics to adaptively capture visual attributes for images from unknown categories, boosting fine-grained visual perception capabilities for CLIP. Second, the proposed attribute-level alignment complements the global alignment to enhance the robustness of cross-modal alignment for open-vocabulary objects. To our knowledge, this is the first work to establish cross-modal attribute-level alignment for CLIP-based few-shot adaptation. Extensive experimental results on 11 datasets demonstrate that our method performs favorably against state-of-the-art approaches.

Georgios K. Markantes, Evangelia Panagodimou, Vasiliki Koika et al.

Current research suggests that polycystic ovary syndrome (PCOS) might originate in utero and implicates the placenta in its pathogenesis. Kisspeptin (KISS1) and neurokinin B (NKB) are produced by the placenta in high amounts, and they have been implicated in several pregnancy complications associated with placental dysfunction. However, their placental expression has not been studied in PCOS. We isolated mRNA after delivery from the placentae of 31 PCOS and 37 control women with term, uncomplicated, singleton pregnancies. The expression of KISS1, NKB, and neurokinin receptors 1, 2, and 3 was analyzed with real-time polymerase chain reaction, using β-actin as the reference gene. Maternal serum and umbilical cord levels of total testosterone, sex hormone-binding globulin (SHBG), free androgen index (FAI), androstenedione, dehydroepiandrosterone sulfate (DHEAS), Anti-Mullerian hormone (AMH), and estradiol were also assessed. <i>NKB</i> placental mRNA expression was higher in PCOS women versus controls in pregnancies with female offspring. <i>NKB</i> expression depended on fetal gender, being higher in pregnancies with male fetuses, regardless of PCOS. <i>NKB</i> was positively correlated with umbilical cord FAI and AMH, and <i>KISS1</i> was positively correlated with cord testosterone and FAI; there was also a strong positive correlation between <i>NKB</i> and <i>KISS1</i> expression. Women with PCOS had higher serum AMH and FAI and lower SHBG than controls. Our findings indicate that NKB might be involved in the PCOS-related placental dysfunction and warrant further investigation. Studies assessing the placental expression of <i>NKB</i> should take fetal gender into consideration.

Khayala Valizade, Hale Bayram, Yaprak Donmez Cakil et al.

The effect of paternal age on fertility remains unclear. This retrospective study aims to examine the impact of male age on semen parameters and the reproductive outcomes of men admitted to an infertility center over a 9-year period. A total of 8046 patients were included in the study. Men were divided into four age groups. The groups were evaluated for semen parameters and reproductive outcome. The 21–30 year group presented lower sperm concentrations in comparison to those aged 31–40 and 41–50, yet shared a similar concentration to those over 50 years of age. Moreover, grades A and B decreased significantly in men aged over 50 years. The highest progressive motility and normozoospermia were observed in the age group 31–40 years while men over 50 years of age had the highest rates of asthenozoospermia and oligoasthenozoospermia. Furthermore, live birth results were reported in 5583 of the patients who underwent intracytoplasmic sperm injection (ICSI) and were found highest between 31–40 years of age. To our knowledge, this is the largest study in Turkey focusing on male age-related semen parameters and ICSI pregnancy outcomes. The study demonstrates that age is a significant factor for semen quality and live birth.

Ariel A. Hippen, Dalia K. Omran, Lukas M. Weber et al.

Abstract Background Single-cell gene expression profiling provides unique opportunities to understand tumor heterogeneity and the tumor microenvironment. Because of cost and feasibility, profiling bulk tumors remains the primary population-scale analytical strategy. Many algorithms can deconvolve these tumors using single-cell profiles to infer their composition. While experimental choices do not change the true underlying composition of the tumor, they can affect the measurements produced by the assay. Results We generated a dataset of high-grade serous ovarian tumors with paired expression profiles from using multiple strategies to examine the extent to which experimental factors impact the results of downstream tumor deconvolution methods. We find that pooling samples for single-cell sequencing and subsequent demultiplexing has a minimal effect. We identify dissociation-induced differences that affect cell composition, leading to changes that may compromise the assumptions underlying some deconvolution algorithms. We also observe differences across mRNA enrichment methods that introduce additional discrepancies between the two data types. We also find that experimental factors change cell composition estimates and that the impact differs by method. Conclusions Previous benchmarks of deconvolution methods have largely ignored experimental factors. We find that methods vary in their robustness to experimental factors. We provide recommendations for methods developers seeking to produce the next generation of deconvolution approaches and for scientists designing experiments using deconvolution to study tumor heterogeneity.

Franak Jalilvand, Elham Mostafavi Rad, Fariba Kahnamouei et al.

Introduction: IUI or injection of washed sperm into the uterine cavity is one of the assisted reproductive techniques that has been widely used in the treatment of infertility. This study was performed with aim to evaluate the effect of intrauterine injection of granulocyte stimulating factor (G-CSF) on the success rate of IUI in patients referred to the infertility center of Ardabil University of Medical Sciences.Methods: This clinical trial study was performed in 2019-2020 on 100 women with primary infertility referred to the Infertility Center of Ardabil University of Medical Sciences for IUI. The subjects were randomly divided into intervention and control groups each with 50 women. To stimulate ovulation for the women in two groups, clomiphene citrate was administered from the third to the fifth day of menstruation at a dose of 50-100 mg daily for five days and gonadotropin ampoules were administered with dose 150 mg at days 7 and 9 and after reaching to at least one follicle with 20 ml diameter, HCG was injected for the final maturation of the oocyte. In the intervention group, in addition to previous procedures on the day of HCG injection, 100 micrograms of G-CSF was injected intrauterine with IUI catheter, and then IUI was performed 36 hours later. Collected data were analyzed by SPSS (version 25). P<0.05 was considered significant.Results: The success rate of IUI based on βHCG test was 20% in the case group and 4% in the control group, which showed a statistically significant difference in the success rate of pregnancy (p=0.028).Conclusion: The results of the present study showed that G-CSF administration improves the chance of pregnancy compared to no treatment.

Divya Anantharaman, Aiswaryah Radhakrishnan, Vidhyalakshmi Anantharaman

Aim. Multisystemic physiological changes in pregnancy can result in tear film and refractive changes in the eye. We report dry eye prevalence in pregnant women using Standard Patient Evaluation of Eye Dryness (SPEED) questionnaire. Methods. The SPEED questionnaire was self-administered cross-sectionally to 428 pregnant women (mean age: 26.8±4.4 years) with clinically confirmed pregnancy from two obstetric clinics in Chennai, India. Subjects with predisposing risk factors for dry eye were excluded from the study. Subjects were categorized as normal, moderate, and severe dry eye based on the SPEED score. Results. Among the women, 48.5% of the subjects had symptoms like dryness, grittiness or scratchiness, soreness or irritation, burning or watering, or eye fatigue. About 2.3% had moderate dry eye according to SPEED questionnaire criteria. Eye fatigue was the most reported symptom and was present in 76.4% of women. The symptom frequency score and severity score had a strong and significant correlation (r=0.95, P<.001). No significant correlation was noted among SPEED score vs age (r=−0.02, P>.05). No significant correlation was found between symptoms of dry eye and gravidity (ρ=−0.006, P>.05) and trimester (ρ=0.38, P>.05). Binary logistic regression showed that only occupational status and systemic condition was significantly associated with dry eye symptoms. Conclusion. About half the pregnant women at the visit reported having one or more dry eye-related symptoms. As per the composite SPEED questionnaire score, dry eye was not prevalent among pregnant women irrespective of their age, gravidity, and the trimester, but we found a majority of pregnant women reported to have experienced dry eye-related symptoms, though tolerable. Awareness about dry eye during pregnancy will improve eye care seeking behaviour in pregnant women.

Sreyan Ghosh, Ashish Seth, and Deepak Mittal et al.

Inspired by the recent progress in self-supervised learning for computer vision, in this paper we introduce DeLoRes, a new general-purpose audio representation learning approach. Our main objective is to make our network learn representations in a resource-constrained setting (both data and compute), that can generalize well across a diverse set of downstream tasks. Inspired from the Barlow Twins objective function, we propose to learn embeddings that are invariant to distortions of an input audio sample, while making sure that they contain non-redundant information about the sample. To achieve this, we measure the cross-correlation matrix between the outputs of two identical networks fed with distorted versions of an audio segment sampled from an audio file and make it as close to the identity matrix as possible. We use a combination of a small subset of the large-scale AudioSet dataset and FSD50K for self-supervised learning and are able to learn with less than half the parameters compared to state-of-the-art algorithms. For evaluation, we transfer these learned representations to 9 downstream classification tasks, including speech, music, and animal sounds, and show competitive results under different evaluation setups. In addition to being simple and intuitive, our pre-training algorithm is amenable to compute through its inherent nature of construction and does not require careful implementation details to avoid trivial or degenerate solutions. Furthermore, we conduct ablation studies on our results and make all our code and pre-trained models publicly available https://github.com/Speech-Lab-IITM/DeLoRes.

Dilu Feng, Sitian Wei, Jun Chen et al.

Abstract Background Data regarding human papillomavirus (HPV) prevalence and genotype distribution are limited in Shannan City, Tibet Tibetan Autonomous Region, China. The purpose of this study is to provide reliable data for guiding women in Shannan City in cervical cancer screening and HPV vaccine innoculation. Methods HPV testing was performed on women aged 16–109 years (mean age 44.03 ± 9.25 years) from Shannan City in 2019 and 2020, which was implemented technically by gynecological examination, vaginal discharge smear microscopy, cytology, and HPV detection. The overall prevalence, age-specific prevalence, and genotype distribution were analyzed. Results A total of 48,126 women received HPV testing, of which 3929 were detected human papillomavirus. The HPV-positive rate was 8.16% (3929/48,126), and the highest prevalence was in the ≤ 25-year-old age group (12.68%). After the age of 25, the prevalence rate decreased rapidly, and then slowly increased from 7.49% in the 46–55 age group to 9.82% in the ≥ 66 age group, showing a “U-shaped” pattern. The positive prevalence of HPV 16 or 18-only was 1.43%, that of other HPV genotypes except HPV 16 or 18 was 6.39%, and mixed HPV infections including HPV 16 or 18 was 0.34%. Conclusions The HPV infection rate in Shannan city is rather low, and the age-specific prevalence of HPV infection presents a “U” curve, suggesting the importance of screening among younger women and the necessity of detection among older women.

Diego Raimondo, Antonio Raffone, Antonio Raffone et al.

Data about the oncological outcomes in women with borderline ovarian tumor (BOT) undergoing uterine-sparing surgery without ovarian preservation are poor. We aimed to assess the oncological outcomes in women with BOT undergoing uterine-sparing surgery without ovarian preservation. A multi-center observational retrospective cohort study was performed including all consecutive postmenopausal patients who underwent surgical treatment for BOT at three tertiary level referral centers for gynecologic oncology from January 2005 to December 2016. Patients were divided into two groups for comparisons: patients undergoing hysterectomy (hysterectomy group) and patients undergoing uterine-sparing surgery (no hysterectomy group). Study outcomes were disease-free survival (DFS), overall survival (OS), disease-specific survival (DSS) and surgical complications rate. Ninety-eight patients were included: 44 in the hysterectomy group and 54 in the no hysterectomy group. The 5- and 10-year DFS rates were 97.7% (95% CI: 84.9–99.7) and 92.3% (95% CI: 69.7–98.2), in the hysterectomy group, and 86.8% (95% CI: 74.3–93.5) and 86.8% (95% CI: 74.3–93.5), in the no hysterectomy group, respectively, without significant differences (p=0.16). Hazard ratio for DFS was 0.26 (95% CI: 0.06–1.68) for the hysterectomy group. The 5- and 10-year OS rates were 100.0% (95% CI: -) and 100.0% (95% CI: -), in the hysterectomy group, and 98.2% (95% CI: 87.6–99.7) and 94.4% (95% CI: 77.7–98.7), in the no hysterectomy group, respectively, without significant differences (p=0.23). No significant difference in complication rate was reported among the groups (p=0.48). As hysterectomy appears to not impact survival outcomes of women with BOT, it might be avoided in the surgical staging.

Yuzhen Ding, Xiaofeng Yang, Xiaoxue Han et al.

Background: Preeclampsia (PE) is one of the leading causes of maternal and fetal morbidity and mortality worldwide. Placental oxidative stress has been identified as a major pathway to the development of PE. Ferroptosis is a new form of regulated cell death that is associated with iron metabolism and oxidative stress, and likely mediates PE pathogenesis. The aim of the study was to identify the key molecules involved in ferroptosis to further explore the mechanism of ferroptosis in PE.Methods: Gene expression data and clinical information were downloaded from the GEO database. The limma R package was used to screen differentially expressed genes (DEGs) and intersected with ferroptosis genes. The GO and KEGG pathways were then analyzed. Next, hub genes were identified via weighted gene co-expression network analysis (WGCNA). Receiver operating curves (ROCs) were performed for diagnostic and Pearson’s correlation of hub genes and clinicopathological characteristics. Immunohistochemistry and Western blot analysis were used to verify the expression of hub genes.Results: A total of 3,142 DEGs were identified and 30 ferroptosis-related DEGs were obtained. In addition, ferroptosis-related pathways were enriched by GO and KEGG using DEGs. Two critical modules and six hub genes that were highly related to diagnosis of PE were identified through WGCNA. The analysis of the clinicopathological features showed that NQO1 and SRXN1 were closely correlated with PE characteristics and diagnosis. Finally, Western blot and immunohistochemistry analysis confirmed that the expression of the SRXN1 protein in the placental tissue of patients with PE was significantly elevated, while the expression of NQO1 was significantly decreased.Conclusions: SRXN1 and NQO1 may be key ferroptosis-related proteins in the pathogenesis of PE. The study may provide a theoretical and experimental basis for revealing the pathogenesis of PE and improving the diagnosis of PE.

Imran Morhason-Bello, Yusuf O. Kareem, Ojone Illah et al.

Background. Maternal and neonatal tetanus remains a public health problem in low-and-middle-income countries despite the increasing investment in tetanus toxoid containing vaccines (TTCV). Nigeria still records fatalities from tetanus, predominantly in women of reproductive age and in newborns. This is largely due to poor access to vaccinations and high rates of unsupervised labour and childbirth. We aim to investigate the antenatal uptake of TTCV and associated factors among first-time pregnant women in Nigeria. Methods. Data obtained from the 2018 Nigeria Demographic Health Survey (NDHS) was used to generate a list of eligible patients who in the last five years had undergone their first childbirth experience. Data was analysed using univariable and multivariable analyses and reported using a 95% confidence interval. Results. A total of 3640 participants were included in the analysis. 59.6% (95% CI, 57.6-61.8) of participants had received at least two doses of TTCV. Uptake of TTCV irrespective of current marital status was independently associated with number of and place of antenatal care. Other factors associated with receiving two doses of TTCV in all participants were ownership of mobile phones and region of residence. Among the currently married participants, wealth quintiles, region of residence, and having a polygamous family were additional associated factors. Conclusion. There was low uptake of the minimal required dosage of TTCV among first-time pregnant women with the lowest uptake in Northern regions relative to Southern regions. We recommend mixed methods studies to further explore the motivation behind TTCV uptake in pregnant women which can help guide future policies and interventions to improve uptake of tetanus immunization in Nigeria.

Ludwig Holleis, Joseph Prestigiacomo, Zhijie Fan et al.

The leading order nonlinear (NL) susceptibility, $χ_3$, in a paramagnet is negative and diverges as $T \rightarrow 0$. This divergence is destroyed when spins correlate and the NL response provides unique insights into magnetic order. Dimensionality, exchange interaction, and preponderance of quantum effects all imprint their signatures in the NL magnetic response. Here, we study the NL susceptibilities in the proximate Kitaev magnet $α$-RuCl$_3$ which differs from the expected antiferromagnetic behavior. For $T< T_c$ = 7.5 K and field $B$ in the ab-plane, we obtain contrasting NL responses in low ($<$ 2 ${T}$) and high field regions. For low fields the NL behavior is dominated by a quadratic response (positive $χ_2$), which shows a rapid rise below $T_c$. This large $χ_2 >0$ implies a broken sublattice symmetry of magnetic order at low temperatures. Classical Monte Carlo (CMC) simulations in the standard ${K-H-Γ}$ model secure such a quadratic ${B}$ dependence of ${M}$, only for ${T}$ $\approx$ ${T}_c$ with $χ_2$ being zero as ${T}$ $\rightarrow$ 0. It is also zero for all temperatures in exact diagonalization calculations. On the other hand, we find an exclusive cubic term ($χ_3$) describes the high field NL behavior well. $χ_3$ is large and positive both below and above ${T}_c$ crossing zero only for ${T}$ $>$ 50 K. In contrast, for $B$~$\parallel$~c-axis, no separate low/high field behaviors is measured and only a much smaller $χ_3$ is apparent.

Suranjan Goswami, Satish Kumar Singh, and Bidyut B. Chaudhuri

Thermal Images profile the passive radiation of objects and capture them in grayscale images. Such images have a very different distribution of data compared to optical colored images. We present here a work that produces a grayscale thermo-optical fused mask given a thermal input. This is a deep learning based pioneering work since to the best of our knowledge, there exists no other work on thermal-optical grayscale fusion. Our method is also unique in the sense that the deep learning method we are proposing here works on the Discrete Wavelet Transform (DWT) domain instead of the gray level domain. As a part of this work, we also present a new and unique database for obtaining the region of interest in thermal images based on an existing thermal visual paired database, containing the Region of Interest on 5 different classes of data. Finally, we are proposing a simple low cost overhead statistical measure for identifying the region of interest in the fused images, which we call as the Region of Fusion (RoF). Experiments on the database show encouraging results in identifying the region of interest in the fused images. We also show that they can be processed better in the mixed form rather than with only thermal images.

Li-yuan Feng, Yong-zhi Huang, Wei Zhang et al.

Abstract Objective LAMA3 is a widely studied methylated gene in multiple tumors, but the relationship between chemotherapy resistance in ovarian cancer is unclear. In this study, LAMA3 methylation was predicted by bioinformatics, and the ability of LAMA3 methylation to predict the chemotherapy resistance and prognosis of ovarian cancer was confirmed in experiments. Methods Multiple databases have performed the bioinformatics analysis of methylation and transcription factor binding site (TFBS) on the promoter region of LAMA3 gene. Pyrosequencing detected the methylation of LAMA3. QRT-PCR and immunohistochemistry detected the expression of LAMA3. Real Time Cell Analyzer (RTCA) detects changes in cell proliferation, migration and invasion ability. Flow cytometry was used to detect apoptosis. Results CPG islands of 176 bp, 134 bp, 125 bp and 531 bp were predicted in the promoter region of LAMA3 gene. The 4 prediction results are basically overlapped. 7 transcription factor binding sites were predicted, and the one with the highest score was on the predicted CpG island located in the proximal promoter region. LAMA3 hypermethylation and low expression are both associated with chemotherapy resistance and poor prognosis in ovarian cancer. LAMA3 methylation was negatively correlated with expression. After upregulation of LAMA3, the proliferation ability of chemoresistant ovarian cancer cell decreased, while the ability of apoptosis, invasion and migration increased. Conclusion LAMA3 hypermethylation is associated with chemotherapy resistance and poor prognosis. As a typical CpG island gene, LAMA3(cg20937934) and LAMA3(cg13270625) hypermethylation is negatively correlated with low expression. LAMA3 promotes the invasion, migration and apoptosis of SKOV3DDP. In the future, the mechanism of LAMA3 methylation in ovarian cancer will need to be further studied.