Aruesha Srivastava, Neha Shaik, Yunrui Lu, Matthew Chan, Alos Diallo, John Zavras, Serin Han, Tracy Punshon, Brian Jackson, Linda Vahdat, Xiaoying Liu, Vivek Mittal, Ken Lau, Jiang Gui, Louis Vaickus, Jack Hoopes, Fred Kolling, Laurent Perreard, Jonathan Marotti, Joshua Levy
{"title":"整合元素成像和空间转录组分析用于结肠肿瘤微环境的概念验证金属通路分析。","authors":"Aruesha Srivastava, Neha Shaik, Yunrui Lu, Matthew Chan, Alos Diallo, John Zavras, Serin Han, Tracy Punshon, Brian Jackson, Linda Vahdat, Xiaoying Liu, Vivek Mittal, Ken Lau, Jiang Gui, Louis Vaickus, Jack Hoopes, Fred Kolling, Laurent Perreard, Jonathan Marotti, Joshua Levy","doi":"10.1093/mtomcs/mfaf034","DOIUrl":null,"url":null,"abstract":"<p><p>The complex interplay between metal abundance, transport mechanisms, cell distribution, and tumor progression-related biological pathways (e.g. metabolism, collagen remodeling) remains poorly understood. Traditionally, genes and metals have been studied in isolation, limiting insights into their interactions. Recent advances in spatial transcriptomics and elemental profiling now enable comprehensive exploration of tissue-wide metal-gene interactions, though integration remains challenging. In this proof-of-concept study, we investigated metal-dependent signaling within the tumor microenvironment of a unique colorectal cancer (CRC) tumor. We implemented a spatial multimodal workflow which integrated elemental imaging, gene expression, cellular composition, and histopathological features to uncover metals-related pathways through spatially resolved gene expression correlation analyses. Preliminary findings revealed significant associations, for instance: elevated iron correlated with mesenchymal phenotypes located at the tumor's proliferative front, correlating with expression of genes involved in the epithelial-to-mesenchymal transition pathways, and extracellular matrix remodeling. Preliminary observations from this single sample revealed that high copper concentrations were localized to regions of active tumor growth and were associated with increased expression of immune response genes. This proof-of-concept workflow demonstrates the feasibility of integrating elemental imaging with spatial transcriptomics to identify metals-based gene correlates. Future application of this workflow to larger patient cohorts will pave the way for expansive comparisons across the metallome and transcriptome, ultimately identifying novel targets for tumor progression biomarkers and therapeutic interventions.</p>","PeriodicalId":89,"journal":{"name":"Metallomics","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integration of Elemental Imaging and Spatial Transcriptomic Profiling for Proof-of-Concept Metals-Based Pathway Analysis of Colon Tumor Microenvironment.\",\"authors\":\"Aruesha Srivastava, Neha Shaik, Yunrui Lu, Matthew Chan, Alos Diallo, John Zavras, Serin Han, Tracy Punshon, Brian Jackson, Linda Vahdat, Xiaoying Liu, Vivek Mittal, Ken Lau, Jiang Gui, Louis Vaickus, Jack Hoopes, Fred Kolling, Laurent Perreard, Jonathan Marotti, Joshua Levy\",\"doi\":\"10.1093/mtomcs/mfaf034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The complex interplay between metal abundance, transport mechanisms, cell distribution, and tumor progression-related biological pathways (e.g. metabolism, collagen remodeling) remains poorly understood. Traditionally, genes and metals have been studied in isolation, limiting insights into their interactions. Recent advances in spatial transcriptomics and elemental profiling now enable comprehensive exploration of tissue-wide metal-gene interactions, though integration remains challenging. In this proof-of-concept study, we investigated metal-dependent signaling within the tumor microenvironment of a unique colorectal cancer (CRC) tumor. We implemented a spatial multimodal workflow which integrated elemental imaging, gene expression, cellular composition, and histopathological features to uncover metals-related pathways through spatially resolved gene expression correlation analyses. Preliminary findings revealed significant associations, for instance: elevated iron correlated with mesenchymal phenotypes located at the tumor's proliferative front, correlating with expression of genes involved in the epithelial-to-mesenchymal transition pathways, and extracellular matrix remodeling. Preliminary observations from this single sample revealed that high copper concentrations were localized to regions of active tumor growth and were associated with increased expression of immune response genes. This proof-of-concept workflow demonstrates the feasibility of integrating elemental imaging with spatial transcriptomics to identify metals-based gene correlates. Future application of this workflow to larger patient cohorts will pave the way for expansive comparisons across the metallome and transcriptome, ultimately identifying novel targets for tumor progression biomarkers and therapeutic interventions.</p>\",\"PeriodicalId\":89,\"journal\":{\"name\":\"Metallomics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Metallomics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/mtomcs/mfaf034\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metallomics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/mtomcs/mfaf034","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Integration of Elemental Imaging and Spatial Transcriptomic Profiling for Proof-of-Concept Metals-Based Pathway Analysis of Colon Tumor Microenvironment.
The complex interplay between metal abundance, transport mechanisms, cell distribution, and tumor progression-related biological pathways (e.g. metabolism, collagen remodeling) remains poorly understood. Traditionally, genes and metals have been studied in isolation, limiting insights into their interactions. Recent advances in spatial transcriptomics and elemental profiling now enable comprehensive exploration of tissue-wide metal-gene interactions, though integration remains challenging. In this proof-of-concept study, we investigated metal-dependent signaling within the tumor microenvironment of a unique colorectal cancer (CRC) tumor. We implemented a spatial multimodal workflow which integrated elemental imaging, gene expression, cellular composition, and histopathological features to uncover metals-related pathways through spatially resolved gene expression correlation analyses. Preliminary findings revealed significant associations, for instance: elevated iron correlated with mesenchymal phenotypes located at the tumor's proliferative front, correlating with expression of genes involved in the epithelial-to-mesenchymal transition pathways, and extracellular matrix remodeling. Preliminary observations from this single sample revealed that high copper concentrations were localized to regions of active tumor growth and were associated with increased expression of immune response genes. This proof-of-concept workflow demonstrates the feasibility of integrating elemental imaging with spatial transcriptomics to identify metals-based gene correlates. Future application of this workflow to larger patient cohorts will pave the way for expansive comparisons across the metallome and transcriptome, ultimately identifying novel targets for tumor progression biomarkers and therapeutic interventions.