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LATS2 和 FAT4 作为 hippo 通路相关的关键候选基因,与乳腺癌的风险和进展相关:一种计算机预测方法。

LATS2 and FAT4 as key candidate genes of hippo pathway associated with the risk and progression of breast cancer: an in-silico approach.

机构信息

Department of Biotechnology, Jamia Millia Islamia, New Delhi, India.

Department of Family and Community Medicine, College of Medicine, University of Ha'il, Ha'il, 2440, Saudi Arabia.

出版信息

Sci Rep. 2024 Nov 21;14(1):28857. doi: 10.1038/s41598-024-79688-2.

DOI:10.1038/s41598-024-79688-2
PMID:39572650
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11582630/
Abstract

BACKGROUND

The 2020 cancer report states that breast cancer remains a significant cause of death for females, despite the use of various strategies for early detection and treatment. However, there are still gaps in the fight against this disease. Researchers are exploring the hippo pathway, one of eight significant pathways involved in cancer progression, for potential biomarkers to use in personalized therapeutics.

METHODS

The current study used bioinformatic tools such as DEGs analysis, Methsurv, Km Plotter to generate data that can predict molecular biomarkers associated with hippo pathway in breast cancer development and treatment. The protein-protein interaction pathway was generated using the STRING database to find associations of hippo pathway genes with other dysregulated genes in breast cancer datasets. A disease enrichment study was also done to explore the potential of the hippo pathway in various aspects.

RESULTS

LATS2 and FAT4 genes of the hippo pathway have shown an interesting association with overall survival, hypermethylation, genetic alterations, and decreased expression levels in the breast cancer cohort. Our findings suggest that both of these genes are associated with breast cancer progression and diagnosis and can be utilized as predictive biomarkers by oncologists for personalized therapy in patients.

摘要

背景

2020 年癌症报告指出,尽管采用了各种早期检测和治疗策略,乳腺癌仍是女性死亡的主要原因。然而,在抗击这种疾病方面仍存在差距。研究人员正在探索 hippo 通路,这是与癌症进展相关的八个重要通路之一,以寻找潜在的生物标志物用于个性化治疗。

方法

本研究使用了 DEGs 分析、Methsurv、Km Plotter 等生物信息学工具,生成了可以预测 hippo 通路与乳腺癌发生和治疗相关的分子生物标志物的数据。使用 STRING 数据库生成蛋白-蛋白相互作用通路,以发现 hippo 通路基因与乳腺癌数据集中其他失调基因的关联。还进行了疾病富集研究,以探索 hippo 通路在各个方面的潜力。

结果

hippo 通路中的 LATS2 和 FAT4 基因与总体生存率、超甲基化、遗传改变和乳腺癌队列中表达水平降低呈有趣的关联。我们的研究结果表明,这两个基因都与乳腺癌的进展和诊断有关,肿瘤学家可以将其用作预测生物标志物,为患者提供个性化治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38b/11582630/04551af2657f/41598_2024_79688_Fig10_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38b/11582630/04551af2657f/41598_2024_79688_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38b/11582630/3ea48c6472d7/41598_2024_79688_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38b/11582630/3833274287cb/41598_2024_79688_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38b/11582630/585c9dda8584/41598_2024_79688_Fig3_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38b/11582630/d0a251599b38/41598_2024_79688_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38b/11582630/561e43212dc3/41598_2024_79688_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38b/11582630/fe3ba461acbc/41598_2024_79688_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38b/11582630/fe37d368acb0/41598_2024_79688_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38b/11582630/d7b159928cf6/41598_2024_79688_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b38b/11582630/04551af2657f/41598_2024_79688_Fig10_HTML.jpg

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