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Updated: Aug 11, 2025

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
Published on: March 1, 2024
Pan-cancer molecular subtypes of metastasis reveal distinct and evolving transcriptional programs
Yiqun Zhang1, Fengju Chen1, Chad J Creighton2
1Dan L. Duncan Comprehensive Cancer Center Division of Biostatistics, Baylor College of Medicine, Houston, TX 77030, USA.
Abstract:
Molecular mechanisms underlying cancer metastasis span diverse tissues of origin. Here, we synthesize and collate the transcriptomes of patient-derived xenografts and patient tumor metastases, and these data collectively represent 38 studies and over 3,000 patients and 4,000 tumors. We identify four expression-based subtypes of metastasis transcending tumor lineage. The first subtype has extensive copy alterations, higher expression of MYC transcriptional targets and DNA repair genes, and bromodomain inhibitor response association. The second subtype has higher expression of genes involving metabolism and prostaglandin synthesis and regulation. The third subtype has evidence of neuronal differentiation, higher expression of DNA and histone methylation genes and EZH2 transcriptional targets, and BCL2 inhibitor response association. The fourth subtype has higher expression of immune checkpoint and Notch pathway genes. The metastasis subtypes reflect expression differences from paired primaries, with subtype switching being common. These subtypes facilitate understanding of the molecular underpinnings of metastases beyond tissue-oriented domains, with therapeutic implications.
Insights
Cancer metastasis subtypes were identified across diverse tumor types, revealing distinct molecular profiles. These subtypes offer new insights into metastasis mechanisms and potential therapeutic targets.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Cancer metastasis is a complex process involving molecular changes that vary by tissue of origin.
- Understanding these molecular mechanisms is crucial for developing effective cancer therapies.
Purpose of the Study:
- To identify and characterize molecular subtypes of cancer metastasis that are independent of tumor lineage.
- To explore the therapeutic implications of these newly identified metastasis subtypes.
Main Methods:
- Transcriptome data from patient-derived xenografts and patient tumor metastases were collated from 38 studies.
- Analysis included over 3,000 patients and 4,000 tumors to identify expression-based subtypes.
- Subtype characteristics were associated with genomic alterations, gene expression patterns, and drug response.
Main Results:
- Four distinct expression-based metastasis subtypes were identified, transcending tumor origin.
- Subtype 1: Associated with copy alterations, MYC targets, DNA repair genes, and bromodomain inhibitor response.
- Subtype 2: Characterized by metabolism and prostaglandin synthesis/regulation gene expression.
- Subtype 3: Linked to neuronal differentiation, methylation genes, EZH2 targets, and BCL2 inhibitor response.
- Subtype 4: Enriched for immune checkpoint and Notch pathway genes.
- Metastasis subtypes showed expression differences from paired primary tumors, with common subtype switching.
Conclusions:
- The identified metastasis subtypes provide a framework for understanding metastasis molecular underpinnings beyond tissue-specific domains.
- These subtypes have significant implications for developing targeted therapies for metastatic cancers.
- Further research into subtype switching and therapeutic vulnerabilities is warranted.
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