ArticleScience advances2024
Charting the transcriptomic landscape of primary and metastatic cancers in relation to their origin and target normal tissues.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Article
- Phylogeography of Bone Metastasis: Clonal Evolution, Skeletal Niche Adaptation, and Clinical Implications.International journal of molecular sciences · 2026Review
- Brain metastases converge on shared geometric architecture and transcriptomic landscape yet remain distinct from gliomas.iScience · 2026Article
- Diagnostic Value of Next-Generation Sequencing (NGS) and Microarray in Characterizing Tumor Origin: A Challenging and Educational Case.The American journal of case reports · 2026Article
- PKC-eta promotes breast cancer metastasis by regulating the Hippo-YAP signaling pathway.Signal transduction and targeted therapy · 2026Article
- Understanding the Tumor Microenvironmental Mechanisms Driving Immunotherapy Resistance in Colorectal Cancer Liver Metastases.Oncology research · 2026Review
- Lectin-Directed Protein Aggregation Therapy toward Hyperfucosylated and Hypersialylated Metastatic Colorectal Cancers.Biomaterials research · 2026Article
- p53 inactivation drives breast cancer metastasis to the brain through SCD1 upregulation and increased fatty acid metabolism.Nature genetics · 2026Article
- A Single-Cell Atlas of Pan-Cancer Liver Metastasis Reveals Dynamic Cellular Programs Driving Metastatic Progression and Immune Modulation.Research (Washington, D.C.) · 2026Article
- A Sister Mary Joseph's nodule in fallopian tube cancer: exploring the metastatic pathway through gene expression profiling-a case report.Journal of medical case reports · 2025Article
- Lung-specific metastasis: the coevolution of tumor cells and lung microenvironment.Molecular cancer · 2025Review
- The Dynamic Landscape of the Coagulome of Metastatic Malignant Melanoma.International journal of molecular sciences · 2025Article
- Normal tissue transcriptional signatures for tumor-type-agnostic phenotype prediction.Scientific reports · 2024Article
- Discovering predisposing genes for hereditary breast cancer using deep learning.Briefings in bioinformatics · 2024Article
- Functional transcriptional signatures for tumor-type-agnostic phenotype prediction.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metastasis is a leading cause of cancer-related deaths, yet understanding how metastatic tumors adapt from their origin to their target tissues remains a fundamental challenge. To address this, we assessed whether primary and metastatic tumors more closely resemble their tissues of origin or target tissues in terms of gene expression. We analyzed expression profiles from multiple cancer types and normal tissues, including single-cell and bulk RNA sequencing data from both paired and unpaired patient cohorts. Primary tumors were overall more transcriptomically similar to their tissues of origin, while metastases shifted toward their target tissues. However, pathway-level analysis highlighted critical metabolic and immune transcriptomic changes toward target tissues during metastasis in both primary and metastatic tumors. In addition, primary tumors exhibited higher activity in cancer hallmarks such as "Activating Invasion and Metastasis" when compared to metastases. This comprehensive analysis provides a transcriptome-wide view of the processes through which cancer tumors adapt to their metastatic environments before and after metastasis.
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