ArticleCell systems2017
Decomposing Oncogenic Transcriptional Signatures to Generate Maps of Divergent Cellular States.
Article in Cell systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- A time-resolved meta-analysis of consensus gene expression profiles during human T-cell activation.Genome biology · 2023Pooled it
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- MICAL2 Promotes Pancreatic Cancer Growth and Metastasis.Cancer research · 2025Article
- Clinical and genomic characterization of chemoradiation-resistant HPV-positive oropharyngeal squamous cell carcinoma.Frontiers in oncology · 2024Article
- Deciphering the Functional Roles of Individual Cancer Alleles Across Comprehensive Cancer Genomic Studies.bioRxiv : the preprint server for biology · 2023Article
- Transcriptional subtypes of glottic cancer characterized by differential activation of canonical oncogenic programming.Head & neck · 2023Article
- An integrated analysis of the cancer genome atlas data discovers a hierarchical association structure across thirty three cancer types.PLOS digital health · 2022Article
- Single-cell characterization of step-wise acquisition of carboplatin resistance in ovarian cancer.NPJ systems biology and applications · 2022Article
- Cancer gene mutation frequencies for the U.S. population.Nature communications · 2021Article
- KITMolecular cancer therapeutics · 2021Article
- An expanded universe of cancer targets.Cell · 2021Review
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- MFmap: A semi-supervised generative model matching cell lines to tumours and cancer subtypes.PloS one · 2021Article
- Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.Nucleic acids research · 2020Article
- Mesenchymal and MAPK Expression Signatures Associate with Telomerase Promoter Mutations in Multiple Cancers.Molecular cancer research : MCR · 2020Article
- Cannabinoids Promote Progression of HPV-Positive Head and Neck Squamous Cell Carcinoma via p38 MAPK Activation.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020Article
- Executable cancer models: successes and challenges.Nature reviews. Cancer · 2020Review
- Article
- DNA methylation identifies genetically and prognostically distinct subtypes of myelodysplastic syndromes.Blood advances · 2019Article
- Cyclin E Overexpression in Human Mammary Epithelial Cells Promotes Epithelial Cancer-Specific Copy Number Alterations.iScience · 2019Article
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36 authors at 5 institutions in 2 countries.
Funding
Abstract
The systematic sequencing of the cancer genome has led to the identification of numerous genetic alterations in cancer. However, a deeper understanding of the functional consequences of these alterations is necessary to guide appropriate therapeutic strategies. Here, we describe Onco-GPS (OncoGenic Positioning System), a data-driven analysis framework to organize individual tumor samples with shared oncogenic alterations onto a reference map defined by their underlying cellular states. We applied the methodology to the RAS pathway and identified nine distinct components that reflect transcriptional activities downstream of RAS and defined several functional states associated with patterns of transcriptional component activation that associates with genomic hallmarks and response to genetic and pharmacological perturbations. These results show that the Onco-GPS is an effective approach to explore the complex landscape of oncogenic cellular states across cancers, and an analytic framework to summarize knowledge, establish relationships, and generate more effective disease models for research or as part of individualized precision medicine paradigms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.