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使用代谢成像监测治疗性mTORC1/2通路抑制后肿瘤反应的异质性。

Use of metabolic imaging to monitor heterogeneity of tumour response following therapeutic mTORC1/2 pathway inhibition.

作者信息

Ling Stephanie, Dexter Alex, Race Alan M, Sharma Shreya, Hamm Gregory, Polanska Urszula M, Marshall John F, Takats Zoltan, Brindle Kevin, Yuneva Mariia O, Poulogiannis George, Campbell Andrew D, Sansom Owen J, Goodwin Richard J A, Bunch Josephine, Barry Simon T

机构信息

Imaging and Data Analytics, AstraZeneca, Cambridge CB2 0AA, UK.

National Physical Laboratory, Teddington TW11 0LA, UK.

出版信息

Dis Model Mech. 2025 Feb 1;18(2). doi: 10.1242/dmm.050804. Epub 2025 Feb 28.

DOI:10.1242/dmm.050804
PMID:40019006
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11892681/
Abstract

The PI3K-mTOR-AKT pathway regulates tumour proliferation, gene expression and metabolism, but pathway inhibition induces heterogeneous feedback reactivation, limiting anti-tumour responses. Measuring heterogeneity of pathway inhibition in tissues using protein biomarker phosphorylation or location is challenging. An integrated multi-modal imaging workflow was developed to assess the heterogeneity of AZD2014 (mTORC1/2 inhibitor) response in a PTEN-null renal cancer model. Spatial responses of metabolite biomarkers were analysed by mass spectrometry imaging (MSI). Control and treated tumours were classified according to metabolite-defined regions enriched in control versus AZD2014-treated tumours, respectively. Noticeably, AZD2014-treated tumours retained regions similar to regions dominant in untreated tumours. Imaging mass cytometry analysis of protein biomarkers in 'control-like' regions following AZD2014 treatment showed reduced phospho-S6, indicating suppression, but retained high expression of the glucose transporter GLUT1. Increasing PI3K-AKT inhibition by combining with AZD8186 (PI3Kβ inhibitor) further decreased the control-like metabolic signature, showing PI3K-dependent resistance. This demonstrates that MSI-based workflows yield novel insights into the pharmacodynamic effects of mTORC1/2 inhibition in tumours, which classical biomarkers do not resolve. Coupling these workflows with spatial-omics approaches can deliver greater insights into heterogeneity of treatment response.

摘要

PI3K-mTOR-AKT信号通路调节肿瘤增殖、基因表达和代谢,但该信号通路的抑制会引发异质性反馈激活,限制抗肿瘤反应。利用蛋白质生物标志物的磷酸化或定位来测量组织中信号通路抑制的异质性具有挑战性。我们开发了一种集成的多模态成像工作流程,以评估PTEN基因缺失的肾癌模型中AZD2014(mTORC1/2抑制剂)反应的异质性。通过质谱成像(MSI)分析代谢物生物标志物的空间反应。根据富含对照肿瘤与AZD2014治疗肿瘤的代谢物定义区域,分别对对照肿瘤和治疗肿瘤进行分类。值得注意的是,接受AZD2014治疗的肿瘤保留了与未治疗肿瘤中占主导地位的区域相似的区域。对AZD2014治疗后“对照样”区域的蛋白质生物标志物进行成像质谱细胞分析,结果显示磷酸化S6减少,表明受到抑制,但葡萄糖转运蛋白GLUT1的表达仍然很高。通过与AZD8186(PI3Kβ抑制剂)联合使用增加PI3K-AKT抑制作用,进一步降低了对照样代谢特征,显示出PI3K依赖性耐药。这表明基于MSI的工作流程能够为肿瘤中mTORC1/2抑制的药效学效应提供新的见解,而传统生物标志物无法解决这些问题。将这些工作流程与空间组学方法相结合,可以更深入地了解治疗反应的异质性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/cb514bdf9b1f/dmm-18-050804-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/ea04672948a1/dmm-18-050804-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/ef714014e530/dmm-18-050804-g2.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/52647d19c58d/dmm-18-050804-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/3e4cd1925c66/dmm-18-050804-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/cb514bdf9b1f/dmm-18-050804-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/ea04672948a1/dmm-18-050804-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/ef714014e530/dmm-18-050804-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/5db46f84be8c/dmm-18-050804-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/52647d19c58d/dmm-18-050804-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/3e4cd1925c66/dmm-18-050804-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8ee/11892681/cb514bdf9b1f/dmm-18-050804-g6.jpg

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