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通过非侵入性超声弹性成像引导的质谱成像策略绘制多灶性乳腺肿瘤进展中的时空异质性

Mapping Spatiotemporal Heterogeneity in Multifocal Breast Tumor Progression by Noninvasive Ultrasound Elastography-Guided Mass Spectrometry Imaging Strategy.

作者信息

Zhou Peng, Xiao Yu, Zhou Xin, Fang Jinghui, Zhang Jingwen, Liu Jianjun, Guo Ling, Zhang Jiuhong, Zhang Ning, Chen Ke, Zhao Chao

机构信息

Bionic Sensing and Intelligence Center, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

Department of Ultrasound, First Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen Second People's Hospital, Shenzhen 518009, China.

出版信息

JACS Au. 2024 Feb 16;4(2):465-475. doi: 10.1021/jacsau.3c00589. eCollection 2024 Feb 26.

Abstract

Spatiotemporal heterogeneity of tumors provides an escape mechanism for breast cancer cells, which can obstruct the investigation of tumor progression. While molecular profiling obtained from mass spectrometry imaging (MSI) is rich in biochemical information, it lacks the capacity for in vivo analysis. Ultrasound diagnosis has a high diagnostic accuracy but low chemical specificity. Here, we describe a noninvasive ultrasound elastography (UE)-guided MSI strategy (UEg-MSI) that integrates physical and biochemical characteristics of tumors acquired from both in vivo and in vitro imaging. Using UEg-MSI, both elasticity histopathology metabolism "fingerprints" and reciprocal crosstalk are revealed, indicating the intact, multifocal spatiotemporal heterogeneity of spontaneous tumorigenesis of the breast from early, middle, and late stages. Our results demonstrate a gradual increase in malignant degree of primary focus in cervical and thoracic mammary glands. This progression is characterized by increased stiffness according to elasticity scores, histopathological changes from hyperplasia to increased nests of neoplastic cells and necrotic areas, and regional metabolic heterogeneity and reprogramming at the spatiotemporal level. De novo fatty acid (FA) synthesis focused on independent (such as ω-9 FAs) and dependent (such as ω-6 FAs) dietary FA intake in the core cancerous nest areas in the middle and late stages of tumor or in the peripheral microareas in the early stage of the tumor. SM-Cer signaling pathway and GPs biosynthesis and degradation, as well as glycerophosphoinositol intensity, changed in multiple characteristic microareas. The UEg-MSI strategy holds the potential to expand MSI applications and enhance ultrasound-mediated cancer diagnosis. It offers new insight into early cancer discovery and the occurrence of metastasis.

摘要

肿瘤的时空异质性为乳腺癌细胞提供了一种逃逸机制,这可能会阻碍对肿瘤进展的研究。虽然从质谱成像(MSI)获得的分子图谱富含生化信息,但它缺乏体内分析的能力。超声诊断具有较高的诊断准确性,但化学特异性较低。在此,我们描述了一种非侵入性超声弹性成像(UE)引导的MSI策略(UEg-MSI),该策略整合了从体内和体外成像获得的肿瘤的物理和生化特征。使用UEg-MSI,可以揭示弹性组织病理学代谢“指纹”及其相互串扰,表明乳腺自发肿瘤发生从早期、中期到晚期的完整、多灶性时空异质性。我们的结果表明,颈部和胸部乳腺原发灶的恶性程度逐渐增加。这种进展的特征是根据弹性评分硬度增加、组织病理学从增生到肿瘤细胞巢和坏死区域增加的变化,以及时空水平上的区域代谢异质性和重编程。从头脂肪酸(FA)合成在肿瘤中期和晚期的核心癌巢区域或肿瘤早期的外周微区域集中于独立(如ω-9 FAs)和依赖(如ω-6 FAs)的膳食FA摄入。鞘氨醇(SM-Cer)信号通路、甘油磷脂(GPs)生物合成与降解以及甘油磷酸肌醇强度在多个特征微区域发生变化。UEg-MSI策略具有扩展MSI应用和增强超声介导的癌症诊断的潜力。它为早期癌症发现和转移的发生提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a4a/10900218/9e937f047584/au3c00589_0001.jpg

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