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在人乳腺癌酸性细胞外环境中对天然化合物的计算评估。

In Silico Evaluation of Natural Compounds for an Acidic Extracellular Environment in Human Breast Cancer.

机构信息

Cnh Center for Cancer Research, Cnh Corporation, Gangnam-gu, Seoul 06154, Korea.

Section of Endocrinology and Metabolism, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT 06519, USA.

出版信息

Cells. 2021 Oct 6;10(10):2673. doi: 10.3390/cells10102673.

Abstract

The survival rates for breast cancer (BC) have improved in recent years, but resistance, metastasis, and recurrence still remain major therapeutic challenges for BC. The acidic tumor microenvironment (TME) has attracted attention because of its association with tumorigenesis, metastasis, drug resistance, and immune surveillance. In this study, we evaluated natural compounds from traditional herbal medicine used to treat cancer that selectively target genes regulated by extracellular acidosis. We integrated four transcriptomic data including BC prognostic data from The Cancer Genome Atlas database, gene expression profiles of MCF-7 cells treated with 102 natural compounds, patterns of gene profiles by acidic condition, and single-cell RNA-sequencing from BC patient samples. Bruceine D (BD) was predicted as having the highest therapeutic potential, having an information gain (IG) score of 0.24, to regulate reprogrammed genes driven by acidosis affecting the survival of BC patients. BD showed the highest IG on EMT (IG score: 0.11) and invasion (IG score: 0.1) compared to the other phenotypes with the CancerSEA database. BD also demonstrated therapeutic potential by interfering with the tumor cell-TME interactions by reducing the amyloid beta precursor protein and CD44 expression. Therefore, BD is a potential candidate to target the acidic TME induced metastatic process in BC.

摘要

近年来,乳腺癌(BC)的生存率有所提高,但耐药性、转移和复发仍然是 BC 治疗的主要挑战。酸性肿瘤微环境(TME)因其与肿瘤发生、转移、耐药性和免疫监视有关而受到关注。在这项研究中,我们评估了用于治疗癌症的传统草药中的天然化合物,这些化合物选择性地针对细胞外酸中毒调节的基因。我们整合了四个转录组数据集,包括来自癌症基因组图谱数据库的 BC 预后数据、用 102 种天然化合物处理的 MCF-7 细胞的基因表达谱、酸性条件下的基因谱模式以及 BC 患者样本的单细胞 RNA-seq。Bruceine D(BD)被预测为具有最高的治疗潜力,其信息增益(IG)评分为 0.24,可调节由酸中毒驱动的重编程基因,从而影响 BC 患者的生存。与癌症 SEA 数据库中的其他表型相比,BD 在 EMT(IG 评分:0.11)和侵袭(IG 评分:0.1)方面表现出最高的 IG。BD 通过降低淀粉样蛋白前体蛋白和 CD44 的表达来干扰肿瘤细胞-TME 相互作用,也显示出治疗潜力。因此,BD 是一种潜在的候选药物,可以靶向 BC 中酸性 TME 诱导的转移过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a802/8534855/1f11a6b36afa/cells-10-02673-g001.jpg

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