Evaluating the impact of soy compounds on breast cancer using the data mining approach

Chen, Sheng I.; Tseng, Hsiao-Ting; Hsieh, Chia Chien

doi:10.1039/c9fo00976k

Cited by 10 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[40][41] GEN has therefore been considered a pharmacologically active natural compound for chemoprevention of carcinogenesis and cancer progression since its discovery, which is also supported by epidemiological evidence. [42][43] This study is the rst to demonstrate that GEN attenuates obesity induced by high-fat diet in ovariectomized mice and attenuates the increased tumor burden of obesity, further enriching the application value of GEN in human and female animal health.…”

Section: Discussionmentioning

confidence: 92%

Effect of genistein supplementation on microenvironment regulation of breast tumors in obese mice

Jin,

Zheng,

et al. 2024

Preprint

View full text Add to dashboard Cite

Obesity is an important risk factor for breast cancer in women before and after menopause. Adipocytes, key mediators in the tumor microenvironment, play a pivotal role in linking obesity with cancer. However, the potential of dietary components in modulating this link remains underexplored. Genistein, a soy-derived isoflavone, has shown promise in reducing breast cancer risk, attenuating obesity-associated inflammation, and improving insulin resistance. Yet, there are no reports examining whether genistein has the ability to reduce the breast tumor development effects of obesity. In this study, we constructed a mammary tumor model on ovariectomized obese mice and examined the effects of genistein on body condition and tumor growth. Meanwhile, the effects of genistein on tumor microenvironment were examined by experimental observation of peritumoral adipocytes and macrophages. In addition, we further investigated the effect of genistein on adipocyte and breast cancer cell crosstalk in co-culture experiments. Our findings indicate that dietary genistein significantly alleviates obesity, systemic inflammation, and metabolic disorders induced by a high-fat diet in ovariectomized mice. Notably, it also inhibits tumor growth in vivo. Genistein's impact extends to the tumor microenvironment, where it reduces the production of cancer-associated adipocytes (CAAs) and the recruitment of M2d subtype macrophages. In vitro, genistein mitigates the transition of adipocytes into CAAs and curbs inflammatory factors by activating PPAR-γ and degrading nuclear NF-κB. Furthermore, it impedes the acquisition of invasive capabilities and epithelial-mesenchymal transition in breast cancer cells under CAA-induced inflammation, disrupting the Wnt3a/β-catenin pathway. Intriguingly, the PPAR-γ inhibitor T0070907 counteracted genistein's effects in the co-culture system, underscoring the specificity of its action. Our study suggests that genistein could mitigate the adverse effects of obesity on breast cancer by modulating tumor microenvironment. And these findings provide theoretical support for confirming that genistein can be used as a dietary component in the adjuvant treatment of obese breast cancer patients.

show abstract

Section: Discussionmentioning

confidence: 92%

Effect of genistein supplementation on microenvironment regulation of breast tumors in obese mice

Jin,

Zheng,

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Hence, the discovery of potent and safer ER inhibitors is crucial for the prevention and treatment of breast cancer. Despite having ER-binding activity, most isoflavonoids, including daidzein and genistein, may act as negative regulators for ER-positive breast cancer [ 66 ]. Consequently, mixed soybean isoflavonoids should be cautiously considered for breast cancer patients.…”

Section: Glyceollins Play Various Medicinal Roles Through Multiple Si...mentioning

confidence: 99%

Glyceollins from soybean: Their pharmacological effects and biosynthetic pathways

Yue,

He,

Wang

et al. 2023

Heliyon

View full text Add to dashboard Cite

“…One of the worst illnesses, cancer, may kill anybody across the globe. According to the WHO (World Health Organization), breast cancer, the most prevalent kind of cancer [1][2] identified in women, affects more than 1.5 million women annually and is the main reason for cancer-related deaths in women. A number of risk factors [3] raise the possibility of acquiring breast cancer.…”

Section: Introductionmentioning

confidence: 99%

A Review on Prediction Model for Breast Cancer Using Machine Learning

2023

IRJMETS

View full text Add to dashboard Cite

One of the commonly encountered in which blood cells begin to proliferate erratically is breast cancer. There are several forms of breast cancer that can be fatal to the patient who's been diagnosed with it. Numerous things, such as genes, changes in the economy, social circumstances, and lifestyle choices, might contribute to it. Several research and articles have been written in this area to address the problem of such a terminal disease and offer answers by figuring out how to assist patients.In order to better comprehend the project's approach and to compare and contrast various machine learning algorithms, this paper is aimed at informing the reader about breast cancer. Machine learning can be employed to identify undetected trends for the identification of breast cancer by emphasizing the creation of a model with a high level of accuracy. The suggested strategy can be integrated with other machine learning approaches depending on the appropriateness and requirements of the project.

show abstract

Evaluating the impact of soy compounds on breast cancer using the data mining approach

Abstract: Accumulating evidence has shown that soy intake is associated with the prevention of cancers. However, the specific soy compound and cancer type should be considered before allocating a precise nutrient intervention.

Cited by 10 publications

References 35 publications

Effect of genistein supplementation on microenvironment regulation of breast tumors in obese mice

Effect of genistein supplementation on microenvironment regulation of breast tumors in obese mice

Glyceollins from soybean: Their pharmacological effects and biosynthetic pathways

A Review on Prediction Model for Breast Cancer Using Machine Learning

Contact Info

Product

Resources

About