ArticleNature communications2019
Tumor diversity and the trade-off between universal cancer tasks.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed.
- Deep molecular profiling of lung neuroendocrine tumours and supra-carcinoids.Molecular cancer · 2026Article
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- Recurrent intra-tumour heterogeneity is a hallmark of metastatic prostate cancer.Nature communications · 2026Article
- Is cancer the result of uncontrolled cellular growth? a glance into the tumorigenic process.Cancer cell international · 2026Review
- A Systematic Review of Evidence for the Cost of Therapeutic Resistance in Cancer.bioRxiv : the preprint server for biology · 2025Article
- AAnet Resolves a Continuum of Spatially Localized Cell States to Unveil Intratumoral Heterogeneity.Cancer discovery · 2025Article
- Dynamic cell fate plasticity and tissue reintegration drive functional adult synovial joint regeneration after complete resection.Nature communications · 2025Article
- Adaptive Therapy Exploits Fitness Deficits in Chemotherapy-Resistant Ovarian Cancer to Achieve Long-Term Tumor Control.Cancer research · 2025Article
- Metabolic Objectives and Trade-Offs: Inference and Applications.Metabolites · 2025Review
- Diffusion Smart-seq3 of breast cancer spheroids to explore spatial tumor biology and test evolutionary principles of tumor heterogeneity.Scientific reports · 2025Article
- Article
- Inferring metabolic objectives and trade-offs in single cells during embryogenesis.Cell systems · 2025Article
- Normal tissue transcriptional signatures for tumor-type-agnostic phenotype prediction.Scientific reports · 2024Article
- Life history dynamics of evolving tumors: insights into task specialization, trade-offs, and tumor heterogeneity.Cancer cell international · 2024Review
- Tetrapod sperm length evolution in relation to body mass is shaped by multiple trade-offs.Nature communications · 2024Article
- Cancer cells forgo translating mRNA transcribed from genes of nonspecialized tasks.FEBS open bio · 2024Article
- Hi-GeoMVP: a hierarchical geometry-enhanced deep learning model for drug response prediction.Bioinformatics (Oxford, England) · 2024Article
- Functional transcriptional signatures for tumor-type-agnostic phenotype prediction.bioRxiv : the preprint server for biology · 2024Article
- Pareto task inference analysis reveals cellular trade-offs in diffuse large B-Cell lymphoma transcriptomic data.Frontiers in systems biology · 2024Article
- Differential modulation of mutant CALR and JAK2 V617F-driven oncogenesis by HLA genotype in myeloproliferative neoplasms.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
7 authors.
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Abstract
Recent advances have enabled powerful methods to sort tumors into prognosis and treatment groups. We are still missing, however, a general theoretical framework to understand the vast diversity of tumor gene expression and mutations. Here we present a framework based on multi-task evolution theory, using the fact that tumors need to perform multiple tasks that contribute to their fitness. We find that trade-offs between tasks constrain tumor gene-expression to a continuum bounded by a polyhedron whose vertices are gene-expression profiles, each specializing in one task. We find five universal cancer tasks across tissue-types: cell-division, biomass and energy, lipogenesis, immune-interaction and invasion and tissue-remodeling. Tumors that specialize in a task are sensitive to drugs that interfere with this task. Driver, but not passenger, mutations tune gene-expression towards specialization in specific tasks. This approach can integrate additional types of molecular data into a framework of tumor diversity grounded in evolutionary theory.
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