金羧酸通过翻译调控抑制耐药细胞的恶性表型。

IF 3.5 3区 医学 Q2 ONCOLOGY
Frontiers in Oncology Pub Date : 2025-05-14 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1576685
Keke Shang, Yang Chen, Jingjie Jin, Tong Wang, Gong Zhang
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引用次数: 0

摘要

基因组不稳定是癌症的一个标志,它导致无休止的突变,最终导致对几乎所有化疗药物的耐药性。这对癌症治疗的成功构成了重大障碍。在这里,我们报道了金羧酸(ATCA)有效抑制多种癌症细胞的恶性表型,包括顺铂耐药肺癌细胞、紫杉醇耐药肺癌细胞和阿霉素耐药乳腺癌细胞的增殖、迁移、侵袭和克隆形成。有趣的是,ATCA不会引起急性细胞毒性。整个蛋白质组和新生链的蛋白质组学分析表明,ATCA减少了翻译起始,从而降低了高度丰富的呼吸链复合物的丰度。这降低了线粒体膜的电位,从而限制了能量的产生。这一原理几乎不可能被癌细胞绕过,因此可能成为一种有希望的、普遍的二线治疗药物,以控制耐药后的癌症进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aurintricarboxylic acid inhibits the malignant phenotypes of drug-resistant cells via translation regulation.

Genome instability, a hallmark of cancer, leads to endless mutations that eventually cause drug resistance against almost all chemotherapy drugs. This poses a significant obstacle to the success of cancer treatments. Here, we report that aurintricarboxylic acid (ATCA) effectively suppresses the malignant phenotypes, including proliferation, migration, invasion, and clone formation, of cancer cells of multiple cancers, including cisplatin-resistant lung cancer cells, paclitaxel-resistant lung cancer cells, and doxorubicin-resistant breast cancer cells. Interestingly, ATCA does not cause acute cytotoxicity. Proteome analysis of the whole proteome and nascent chains showed that ATCA reduced translation initiation and thus reduced the abundance of the highly abundant respiratory chain complex. This lowered the potential of the mitochondrial membrane and thus restricted the energy production. This principle could be hardly circumvented by cancer cells and thus may serve as a promising and universal candidate for a second-line therapeutic agent to control cancer progression after drug resistance.

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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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