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蛋白质组学标志物用于研究转移性癌细胞的力学生物学特性。

Proteomic Markers for Mechanobiological Properties of Metastatic Cancer Cells.

机构信息

School of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Moscow Region, Russia.

Institute of Cell Biophysics, Russian Academy of Sciences, 142290 Pushchino, Moscow Region, Russia.

出版信息

Int J Mol Sci. 2023 Mar 1;24(5):4773. doi: 10.3390/ijms24054773.

Abstract

The major cause (more than 90%) of all cancer-related deaths is metastasis, thus its prediction can critically affect the survival rate. Metastases are currently predicted by lymph-node status, tumor size, histopathology and genetic testing; however, all these are not infallible, and obtaining results may require weeks. The identification of new potential prognostic factors will be an important source of risk information for the practicing oncologist, potentially leading to enhanced patient care through the proactive optimization of treatment strategies. Recently, the new mechanobiology-related techniques, independent of genetics, based on the mechanical invasiveness of cancer cells (microfluidic, gel indentation assays, migration assays etc.), demonstrated a high success rate for the detection of tumor cell metastasis propensity. However, they are still far away from clinical implementation due to complexity. Hence, the exploration of novel markers related to the mechanobiological properties of tumor cells may have a direct impact on the prognosis of metastasis. Our concise review deepens our knowledge of the factors that regulate cancer cell mechanotype and invasion, and incites further studies to develop therapeutics that target multiple mechanisms of invasion for improved clinical benefit. It may open a new clinical dimension that will improve cancer prognosis and increase the effectiveness of tumor therapies.

摘要

所有癌症相关死亡的主要原因(超过 90%)是转移,因此其预测可以极大地影响存活率。目前通过淋巴结状态、肿瘤大小、组织病理学和基因检测来预测转移;然而,所有这些都不是万无一失的,获得结果可能需要数周时间。识别新的潜在预后因素将是临床肿瘤学家的一个重要风险信息来源,通过积极优化治疗策略,可能会提高患者的护理水平。最近,基于癌细胞机械侵袭性的新型机械生物学相关技术(微流控、凝胶压痕测定、迁移测定等),独立于遗传学,检测肿瘤细胞转移倾向的成功率很高。然而,由于其复杂性,它们仍远未临床实施。因此,探索与肿瘤细胞机械生物学特性相关的新型标志物可能会直接影响转移的预后。我们的简明综述加深了我们对调节癌细胞力学特性和侵袭性的因素的了解,并促使进一步研究开发针对多种侵袭机制的治疗方法,以提高临床获益。它可能开辟一个新的临床维度,改善癌症预后,并提高肿瘤治疗的效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad0e/10003476/9e716d8ddcb3/ijms-24-04773-g001.jpg

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