Phytochemicals in Gynecological Cancer Prevention

Woźniak, Marta; Krajewski, Rafał; Makuch, Sebastian; Agrawal, Siddarth

doi:10.3390/ijms22031219

Cited by 34 publications

(21 citation statements)

References 192 publications

(153 reference statements)

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“…Some are polyphenols, terpenoids, and thiols; their effects have been studied in various diseases such as EC. A group of polyphenols found in soybeans and legumes includes flavonoids and isoflavones, such as genistein, daidzein, and glycitein, which have an antiestrogenic effect in the prevention of EC [ 84 ]. A meta-analysis that included epidemiological studies compared a higher intake of isoflavones against a lower intake and found a reduction in the risk of EC [ 85 ].…”

Section: Resultsmentioning

confidence: 99%

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Impact of metabolic syndrome on the risk of endometrial cancer and the role of lifestyle in prevention

Pérez-Martín

Castro-Eguiluz

Cetina

et al. 2022

Bosn J of Basic Med Sci

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Endometrial cancer is the second gynecological cancer with the highest global incidence. Among many associated risk factors, Among the risk factors, metabolic syndrome is an important and preventable one. It comprises a group of conditions that often occur together: central adiposity, hyperglycemia, arterial hypertension, and atherogenic dyslipidemia. This review aimed to describe the epidemiological and biological relationship between metabolic syndrome and endometrial cancer, focusing on the role of lifestyle in prevention. A literature search was carried out in the PubMed database. 4824 publications were screened, and 123 were included for this review. The association between metabolic syndrome and endometrial cancer has been described. Chronic adipose tissue inflammation and insulin resistance are involved in the development of obesity, particularly visceral adiposity. These changes promote the ideal environment for the development of endometrial cancer. Strategies based on lifestyle modifications may be effective for the prevention of metabolic syndrome and consequently endometrial cancer. Some of these modifications include adopting a diet rich in fruits, vegetables, whole grains, and legumes, depending to the accessibility of these foods for each region. Avoiding ultra-processed foods and increasing daily physical activity were also some suggested modifications. We propose that women be screened for metabolic syndrome to establish early treatment and to possibly prevent endometrial cancer. Clinical trials designed to prove the effect of lifestyle modifications on the prevention of endometrial cancer are needed.

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Section: Resultsmentioning

confidence: 99%

“…A meta-analysis that included epidemiological studies compared a higher intake of isoflavones against a lower intake and found a reduction in the risk of EC [ 85 ]. Another polyphenol compound, epigallocatechin gallate, found in green tea, has been associated with prevention of angiogenesis [ 84 ].…”

Section: Resultsmentioning

confidence: 99%

Impact of metabolic syndrome on the risk of endometrial cancer and the role of lifestyle in prevention

Pérez-Martín

Castro-Eguiluz

Cetina

et al. 2022

Bosn J of Basic Med Sci

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“…For example, doxorubicin, loaded in these nanogels, had prolonged circulation time and greater tumor uptake. Epidemiological studies revealed that some of these tumors might be affected by phytochemicals, capable of preventing their development and spread [59]. Human cervical adenocarcinoma (HeLa) cells exposed to piperine displayed growth inhibition either due to a tendency of the cells to be arrested at the G2/M phase or due to increased apoptosis, DNA fragmentation, and cell death, linked with caspase-3 activation and the generation of reactive oxygen species [25].…”

Section: Piperine and Gynecological Cancersmentioning

confidence: 99%

Piperine: A Savor Inducer and a Cancer Reducer

Djaldetti¹

2021

OBM HG

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Spices have been used for many decades, and although new and improved culinary spices have been developed, black pepper (<em>Piper nigrum</em>) continues to retain its distinguished title as the <em>“King of spices”</em> due to its particular pungent taste. An alkaloid called piperine is the main component in black pepper that, besides generating the well-known taste, imparts well-documented immunomodulatory, anti-inflammatory, antimicrobial, antioxidant, and even anti-cancer properties; these properties have led to rigorous research on black pepper. Studies conducted on cancer cell lines and in animal models with tumors revealed that piperine might influence tumor development and metastasis via various pathways, some of which are quite common for most types of malignant processes, while others are associated with a specific type of cancer. In this review, we summarized the effect of piperine on various types of cancer and the mechanism by which it acts as a carcinopreventive agent.

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“…During pregnancy, the chances of miscarriage in women with PCOS are more than three times that of women without PCOS. Women with PCOS undergo infertility, resulting in gynaecological cancer [5]. Early detection of PCOS results in saving miscarriage.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Polycystic Ovary Syndrome Prediction Using Machine Learning in Bioinformatics

et al. 2022

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Polycystic ovary syndrome (PCOS) is a critical disorder in women during their reproduction phase. The PCOS disorder is commonly caused by excess male hormone and androgen levels. The follicles are the collections of fluid developed by ovaries and may fail to release eggs regularly. The PCOS results in miscarriage, infertility issues, and complications during pregnancy. According to a recent report, PCOS is diagnosed in 31.3% of women from Asia. Studies show that 69% to 70% of women did not avail of a detecting cure for PCOS. A research study is needed to save women from critical complications by identifying PCOS early. The main aim of our research is to predict PCOS using advanced machine learning techniques. The dataset based on clinical and physical parameters of women is utilized for building study models. A novel feature selection approach is proposed based on the optimized chi-squared (CS-PCOS) mechanism. The ten hyper-parametrized machine learning models are applied in comparison. Using the novel CS-PCOS approach, the gaussian naive bayes (GNB) outperformed machine learning models and state-of-the-art studies. The GNB achieved 100% accuracy, precision, recall, and f1-scores with minimal time computations of 0.002 seconds. The k-fold cross-validation of GNB achieved a 100% accuracy score. The proposed GNB model achieved accurate results for critical PCOS prediction. Our study reveals that the dataset features prolactin (PRL), blood pressure systolic, blood pressure diastolic, thyroid stimulating hormone (TSH), relative risk (RR-breaths), and pregnancy are the prominent factors having high involvement in PCOS prediction. Our research study helps the medical community overcome the miscarriage rate and provide a cure to women through the early detection of PCOS.

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Phytochemicals in Gynecological Cancer Prevention

Cited by 34 publications

References 192 publications

Impact of metabolic syndrome on the risk of endometrial cancer and the role of lifestyle in prevention

Impact of metabolic syndrome on the risk of endometrial cancer and the role of lifestyle in prevention

Piperine: A Savor Inducer and a Cancer Reducer

A Novel Approach for Polycystic Ovary Syndrome Prediction Using Machine Learning in Bioinformatics

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