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非小细胞肺癌患者来源细胞中的多药耐药谱:对酪氨酸激酶抑制剂个性化治疗方法的启示

Multidrug-Resistant Profiles in Non-Small Cell Lung Carcinoma Patient-Derived Cells: Implications for Personalized Approaches with Tyrosine Kinase Inhibitors.

作者信息

Dinić Jelena, Dragoj Miodrag, Jovanović Stojanov Sofija, Stepanović Ana, Lupšić Ema, Pajović Milica, Mohr Thomas, Glumac Sofija, Marić Dragana, Ercegovac Maja, Podolski-Renić Ana, Pešić Milica

机构信息

Department of Neurobiology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Bulevar Despota Stefana 142, 11108 Belgrade, Serbia.

Center for Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, Borschkegasse 8a, 1090 Vienna, Austria.

出版信息

Cancers (Basel). 2024 May 23;16(11):1984. doi: 10.3390/cancers16111984.

DOI:10.3390/cancers16111984
PMID:38893104
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11171162/
Abstract

The impact of tyrosine kinase inhibitors (TKIs) on multidrug resistance (MDR) in non-small cell lung carcinoma (NSCLC) is a critical aspect of cancer therapy. While TKIs effectively target specific signaling pathways of cancer cells, they can also act as substrates for ABC transporters, potentially triggering MDR. The aim of our study was to evaluate the response of 17 patient-derived NSCLC cultures to 10 commonly prescribed TKIs and to correlate these responses with patient mutational profiles. Using an ex vivo immunofluorescence assay, we analyzed the expression of the MDR markers ABCB1, ABCC1, and ABCG2, and correlated these data with the genetic profiles of patients for a functional diagnostic approach. NSCLC cultures responded differently to TKIs, with erlotinib showing good efficacy regardless of mutation burden or EGFR status. However, the modulation of MDR mechanisms by erlotinib, such as increased ABCG2 expression, highlights the challenges associated with erlotinib treatment. Other TKIs showed limited efficacy, highlighting the variability of response in NSCLC. Genetic alterations in signaling pathways associated with drug resistance and sensitivity, including TP53 mutations, likely contributed to the variable responses to TKIs. The relationships between ABC transporter expression, gene alterations, and response to TKIs did not show consistent patterns. Our results suggest that in addition to mutational status, performing functional sensitivity screening is critical for identifying appropriate treatment strategies with TKIs. These results underscore the importance of considering drug sensitivity, off-target effects, MDR risks, and patient-specific genetic profiles when optimizing NSCLC treatment and highlight the potential for personalized approaches, especially in early stages.

摘要

酪氨酸激酶抑制剂(TKIs)对非小细胞肺癌(NSCLC)多药耐药性(MDR)的影响是癌症治疗的一个关键方面。虽然TKIs能有效靶向癌细胞的特定信号通路,但它们也可作为ABC转运蛋白的底物,可能引发多药耐药。我们研究的目的是评估17种患者来源的NSCLC培养物对10种常用TKIs的反应,并将这些反应与患者的突变谱相关联。使用体外免疫荧光测定法,我们分析了多药耐药标志物ABCB1、ABCC1和ABCG2的表达,并将这些数据与患者的基因谱相关联,以进行功能诊断。NSCLC培养物对TKIs的反应各不相同,厄洛替尼无论突变负荷或表皮生长因子受体(EGFR)状态如何均显示出良好疗效。然而,厄洛替尼对多药耐药机制的调节,如ABCG2表达增加,凸显了厄洛替尼治疗相关的挑战。其他TKIs疗效有限,突出了NSCLC反应的变异性。与耐药性和敏感性相关的信号通路中的基因改变,包括TP53突变,可能导致对TKIs的反应各异。ABC转运蛋白表达、基因改变与对TKIs反应之间的关系未呈现一致模式。我们的结果表明,除了突变状态外,进行功能敏感性筛查对于确定TKIs的合适治疗策略至关重要。这些结果强调了在优化NSCLC治疗时考虑药物敏感性、脱靶效应、多药耐药风险和患者特异性基因谱的重要性,并突出了个性化方法的潜力,尤其是在早期阶段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/6ae3960675f5/cancers-16-01984-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/dff2ac55d7d0/cancers-16-01984-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/e5d28f93abc9/cancers-16-01984-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/c0f9d7a7324e/cancers-16-01984-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/9f88e4824dd1/cancers-16-01984-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/4c834f9dacfc/cancers-16-01984-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/6ae3960675f5/cancers-16-01984-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/d3b5ad9b2ca2/cancers-16-01984-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/dff2ac55d7d0/cancers-16-01984-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/0927de4a1e65/cancers-16-01984-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/8e8a3cce8eae/cancers-16-01984-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/e5d28f93abc9/cancers-16-01984-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/c0f9d7a7324e/cancers-16-01984-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/9f88e4824dd1/cancers-16-01984-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/4c834f9dacfc/cancers-16-01984-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f175/11171162/6ae3960675f5/cancers-16-01984-g009.jpg

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