当归素通过抑制癌症相关成纤维细胞抑制非小细胞肺癌肿瘤生长。

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2025-01-23 DOI:10.2174/0113862073366593250109093910
Binbin Ding, Hang Yin, Shuo Cao, Kai Cheng, Luna Ge
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引用次数: 0

摘要

目的:探讨当归素对非小细胞肺癌肿瘤生长的影响。背景:越来越多的证据表明,癌相关成纤维细胞(cancer-associated fibroblasts, CAFs)在肿瘤进展和转移中起着重要作用,这使得CAFs成为越来越有吸引力的治疗干预靶点。针对caf的靶向治疗被认为具有显著改善癌症治疗结果、克服耐药性和改善免疫逃避的潜力。Angelicin (Ang)是一种从中药补骨脂中分离得到的活性成分。据报道,它能抑制肿瘤进展。由于其天然来源,angelicin具有良好的临床安全性和低毒性。进一步的临床研究和探索其作为CAF抑制剂在非小细胞肺癌等难治肿瘤中的作用,有望为癌症治疗提供新的途径。此外,当归素低廉的成本和良好的生物相容性使其在癌症联合治疗中具有重要的应用潜力,特别是与化疗、免疫治疗等传统疗法联合使用,可显著提高治疗效果,减少副作用。然而,其抗肿瘤作用的机制尚不明确。本研究的目的是研究ANG是否通过调节CAF活性来抑制NSCLC的进展。方法:NIH3T3细胞是小鼠成纤维细胞系,采用NIH3T3细胞作为CAFs模型主要是由于其天然成纤维细胞表型,易于培养,对刺激反应良好,能够模拟成纤维细胞在肿瘤微环境中的功能。NIH3T3用TGF-β (4ug/ml)和H2O2 (10μM)处理。用条件培养基研究Ang通过调节CAFs对肿瘤生长、侵袭和迁移的影响。细胞周期实验设置的Ang浓度为12.5、25和50μM,细胞迁移和侵袭实验设置的Ang浓度为0、20和40μM。通过混合LLC和NIH3T3细胞建立皮下肿瘤,观察Ang对肿瘤进展和微环境的影响。通过荧光标记的FAPI-04和18f标记的FAPI-04监测Ang干预期间成纤维细胞的活性。通过RNA测序和网络药理学研究了Ang的分子药理学机制。结果:Ang显著抑制TGF-β和h2o2诱导的NIH3T3转化,降低FAPα和α-SMA等标志物的表达。Ang抑制了cafs培养基诱导的LLC细胞的增殖、侵袭和迁移。体内实验表明,Ang对caf所致Lewis肺癌的肿瘤生长有明显抑制作用。分子药理学分析表明,Ang可通过多个靶点调节CAFs活性。这些数据表明,Ang具有降低CAF活性、干扰肿瘤微环境、抑制肿瘤生长的巨大潜力。然而,这些发现仍需要进一步验证,特别是考虑到CAFs的异质性、体外和体内模型的差异以及潜在的副作用。结论:Ang通过非活性caf抑制肺癌的生长、侵袭和迁移。这为基于肿瘤微环境的肺癌治疗和Ang的临床翻译提供了理论依据。作为一种潜在的抗癌药物,Ang在抑制癌症相关成纤维细胞(CAFs)和破坏肿瘤微环境方面显示出显著的作用。然而,将这些发现转化为临床治疗仍然存在挑战,如肿瘤微环境的异质性、患者反应的差异和副作用。因此,未来的研究应侧重于探索个性化治疗策略,评估药物的临床安全性和有效性,并深入研究Ang的分子机制和靶点。
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Angelicin Inhibits NSCLC Tumor Growth via the Inhibition of Cancer-Associated Fibroblasts.

Objective: This study aimed to investigate the effect of angelicin on the NSCLC tumor growth.

Background: Accumulating evidence shows that cancer-associated fibroblasts (CAFs) play an important role in tumor progression and metastasis, making CAFs an increasingly attractive target for therapeutic intervention. Targeted therapies against CAFs have been considered to have the potential to significantly improve cancer treatment outcomes, overcome resistance, and improve immune evasion. Angelicin (Ang), an active ingredient isolated from the Chinese herbal medicine Psoralea corylifolia Linn., has been reported to inhibit tumor progression. Due to its natural origin, angelicin has good clinical safety and low toxicity. Further clinical studies and exploration of its role as a CAF inhibitor in difficult-to-treat tumors like as NSCLC are expected to offer up a new channel for cancer treatment. Furthermore, angelicin's low cost and good biocompatibility make it have important application potential in cancer combination therapy, especially when used in combination with traditional therapies such as chemotherapy and immunotherapy, which may significantly improve treatment outcomes and reduce side effects. However, the mechanism of its anti-tumor effect remains poorly defined. The aim of this study was to investigate whether ANG modulates CAF activity to inhibit NSCLC progression.

Methods: NIH3T3 cells are a mouse fibroblast cell line, and the use of NIH3T3 cells as a model for CAFs is mainly due to their natural fibroblast phenotype, ease of culture, good response to stimuli, and ability to simulate the functions of fibroblasts in the tumor microenvironment. NIH3T3 was treated with TGF-β (4ug/ml) and H2O2 (10μM). A conditioned medium was used to study the effect of Ang on tumor growth, invasion, and migration by regulating CAFs.Ang concentrations were set at 12.5, 25, and 50μM for cell cycle experiments and 0, 20, and 40μM for cell migration and invasion experiments. Subcutaneous tumors were established by mixing LLC and NIH3T3 cells to observe the effect of Ang on tumor progression and microenvironment. Fibroblast activity during Ang intervention was monitored by fluorescence-labeled FAPI-04 and 18F-labeled FAPI-04. The molecular pharmacological mechanism of Ang was investigated by RNA sequencing and network pharmacology.

Results: The result showed that Ang significantly inhibited TGF-β and H2O2-induced NIH3T3 transformation, as evidenced by reduced expression of markers such as FAPα and α-SMA. Ang inhibited proliferation, invasion and migration of LLC cells induced by CAFs-conditioned medium. In vivo Experiments showed that Ang greatly inhibited tumor growth in Lewis's lung cancer caused by CAFs. Molecular pharmacological analysis showed that Ang could modulate CAFs activity through multiple targets. These data indicate that Ang has a great potential to reduce CAF activity, interfere with the tumor microenvironment, and inhibit tumor growth. However, these findings still need to be further validated, especially considering the heterogeneity of CAFs, the differences between in vitro and in vivo models, and potential side effects.

Conclusion: Ang reduced the growth, invasion, and migration of lung cancer by inactive CAFs. This provides a rationale for tumor microenvironment-based treatment of lung cancer and clinical translation of Ang. As a potential anti-cancer drug, Ang has shown significant effects in inhibiting cancer-related fibroblasts (CAFs) and disrupting the tumor microenvironment. However, there are still challenges in translating these findings into clinical treatments, such as heterogeneity of the tumor microenvironment, differences in patient responses, and side effects. Therefore, future research should focus on exploring personalized treatment strategies, evaluating the clinical safety and effectiveness of the drug, and delving deeper into the molecular mechanisms and target sites of Ang.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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