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Zhou P, Xiao Y, Zhou X, Fang J, Zhang J, Liu J, Guo L, Zhang J, Zhang N, Chen K, Zhao C. Mapping Spatiotemporal Heterogeneity in Multifocal Breast Tumor Progression by Noninvasive Ultrasound Elastography-Guided Mass Spectrometry Imaging Strategy. JACS Au 2024; 4:465-475. [PMID: 38425919 PMCID: PMC10900218 DOI: 10.1021/jacsau.3c00589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 01/10/2024] [Accepted: 01/24/2024] [Indexed: 03/02/2024]
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.
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Affiliation(s)
- Peng Zhou
- 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
| | - Yu Xiao
- Department
of Thyroid and Breast department, First Affiliated Hospital of Shenzhen
University, Shenzhen Second People’s
Hospital, Shenzhen 518009, China
| | - Xin Zhou
- Bionic
Sensing and Intelligence Center, Institute of Biomedical and Health
Engineering, Shenzhen Institute of Advanced
Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Jinghui Fang
- Department
of Ultrasound, First Affiliated Hospital of Shenzhen University Health
Science Center, Shenzhen Second People’s
Hospital, Shenzhen 518009, China
| | - Jingwen Zhang
- Department
of Ultrasound, First Affiliated Hospital of Shenzhen University Health
Science Center, Shenzhen Second People’s
Hospital, Shenzhen 518009, China
| | - Jianjun Liu
- Shenzhen
Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline
of Health Toxicology (2020-2024), Shenzhen
Center for Disease Control and Prevention, 518054, Shenzhen, China
| | - Ling Guo
- Shenzhen
Key Laboratory of Epigenetics and Precision Medicine for Cancers,
National Cancer Center/National Clinical Research Center for Cancer/Cancer
Hospital & Shenzhen Hospital, Chinese
Academic of Medical Sciences & Peking Union Medical College, Shenzhen 518172, China
| | - Jiuhong Zhang
- Shenzhen
Key Laboratory of Modern Toxicology, Shenzhen Medical Key Discipline
of Health Toxicology (2020-2024), Shenzhen
Center for Disease Control and Prevention, 518054, Shenzhen, China
| | - Ning Zhang
- College
of Chemistry and Chemical Engineering, Dezhou
University, Dezhou 253026, Shandong, China
| | - Ke Chen
- Key
Laboratory of Resources Conversion and Pollution Control of the State
Ethnic Affairs Commission, College of Resources and Environmental
Science, South-Central Minzu University, Wuhan 430074, China
| | - Chao Zhao
- 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
- Shenzhen
Key Laboratory of Precision Diagnosis and Treatment of Depression, Shenzhen Institute of Advanced Technology, Chinese
Academy of Sciences, Shenzhen 518055, China
- University
of Chinese Academy of Sciences, Beijing 100049, China
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