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基于细胞黏附的多发性骨髓瘤预后模型的建立:对化疗反应的深入了解及黏附作用逆转的可能性。

Development of a cell adhesion-based prognostic model for multiple myeloma: Insights into chemotherapy response and potential reversal of adhesion effects.

机构信息

Department of Hematology, West China Hospital, Sichuan University, Chengdu, 610041, China.

出版信息

Oncol Res. 2024 Mar 20;32(4):753-768. doi: 10.32604/or.2023.043647. eCollection 2024.

Abstract

Multiple myeloma (MM) is a hematologic malignancy notorious for its high relapse rate and development of drug resistance, in which cell adhesion-mediated drug resistance plays a critical role. This study integrated four RNA sequencing datasets (CoMMpass, GSE136337, GSE9782, and GSE2658) and focused on analyzing 1706 adhesion-related genes. Rigorous univariate Cox regression analysis identified 18 key prognosis-related genes, including KIF14, TROAP, FLNA, MSN, LGALS1, PECAM1, and ALCAM, which demonstrated the strongest associations with poor overall survival (OS) in MM patients. To comprehensively evaluate the impact of cell adhesion on MM prognosis, an adhesion-related risk score (ARRS) model was constructed using Lasso Cox regression analysis. The ARRS model emerged as an independent prognostic factor for predicting OS. Furthermore, our findings revealed that a heightened cell adhesion effect correlated with tumor resistance to DNA-damaging drugs, protein kinase inhibitors, and drugs targeting the PI3K/Akt/mTOR signaling pathway. Nevertheless, we identified promising drug candidates, such as tirofiban, pirenzepine, erlotinib, and bosutinib, which exhibit potential in reversing this resistance. , experiments employing NCIH929, RPMI8226, and AMO1 cell lines confirmed that MM cell lines with high ARRS exhibited poor sensitivity to the aforementioned candidate drugs. By employing siRNA-mediated knockdown of the key ARRS model gene KIF14, we observed suppressed proliferation of NCIH929 cells, along with decreased adhesion to BMSCs and fibronectin. This study presents compelling evidence establishing cell adhesion as a significant prognostic factor in MM. Additionally, potential molecular mechanisms underlying adhesion-related resistance are proposed, along with viable strategies to overcome such resistance. These findings provide a solid scientific foundation for facilitating clinically stratified treatment of MM.

摘要

多发性骨髓瘤(MM)是一种血液恶性肿瘤,以高复发率和耐药性发展而闻名,其中细胞黏附介导的耐药性起着关键作用。本研究整合了四个 RNA 测序数据集(CoMMpass、GSE136337、GSE9782 和 GSE2658),并专注于分析 1706 个黏附相关基因。严格的单变量 Cox 回归分析确定了 18 个关键预后相关基因,包括 KIF14、TROAP、FLNA、MSN、LGALS1、PECAM1 和 ALCAM,它们与 MM 患者的总体生存(OS)最差具有最强的关联。为了全面评估细胞黏附对 MM 预后的影响,使用 Lasso Cox 回归分析构建了黏附相关风险评分(ARRS)模型。ARRS 模型成为预测 OS 的独立预后因素。此外,我们的研究结果表明,增强的细胞黏附作用与肿瘤对 DNA 损伤药物、蛋白激酶抑制剂和针对 PI3K/Akt/mTOR 信号通路的药物的耐药性相关。然而,我们确定了有前途的药物候选物,如替罗非班、哌仑西平、厄洛替尼和博舒替尼,它们具有逆转这种耐药性的潜力。实验采用 NCIH929、RPMI8226 和 AMO1 细胞系证实,ARRS 较高的 MM 细胞系对上述候选药物的敏感性较差。通过使用 siRNA 介导的关键 ARRS 模型基因 KIF14 敲低,我们观察到 NCIH929 细胞的增殖受到抑制,同时与 BMSCs 和纤维连接蛋白的黏附减少。本研究提供了有力的证据,确立了细胞黏附是 MM 的一个重要预后因素。此外,提出了与黏附相关的耐药性相关的潜在分子机制,并提出了克服这种耐药性的可行策略。这些发现为促进 MM 的临床分层治疗提供了坚实的科学基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36d0/10972724/2196301dfd90/OncolRes-32-43647-f001.jpg

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