ArticleCancer research2017
Tissue-Specific Signaling Networks Rewired by Major Somatic Mutations in Human Cancer Revealed by Proteome-Wide Discovery.
Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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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
18 citing papers in PubMed, 34 citations in OpenAlex.
- Large-scale pathogenicity prediction analysis of cancer-associated kinase mutations reveals variability in sensitivity and specificity of computational methods.Cancer medicine · 2023Article
- Identifying candidate genes and drug targets for Alzheimer's disease by an integrative network approach using genetic and brain region-specific proteomic data.Human molecular genetics · 2022Article
- Exome sequencing link mutation inFrontiers in oncology · 2022Article
- Artificial intelligence, molecular subtyping, biomarkers, and precision oncology.Emerging topics in life sciences · 2021Review
- Analyzing signaling activity and function in hematopoietic cells.The Journal of experimental medicine · 2021Review
- Identification of Breast Cancer Subtype-Specific Biomarkers by Integrating Copy Number Alterations and Gene Expression Profiles.Medicina (Kaunas, Lithuania) · 2021Article
- My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype.Genome biology · 2021Article
- PertInInt: An Integrative, Analytical Approach to Rapidly Uncover Cancer Driver Genes with Perturbed Interactions and Functionalities.Cell systems · 2020Article
- Edgetic perturbation signatures represent known and novel cancer biomarkers.Scientific reports · 2020Article
- Prevalence and architecture of posttranscriptionally impaired synonymous mutations in 8,320 genomes across 22 cancer types.Nucleic acids research · 2020Article
- The Dichotomous Nature of AZ5104 (an EGFR Inhibitor) Towards RORγ and RORγT.International journal of molecular sciences · 2019Article
- Distinct telomere length and molecular signatures in seminoma and non-seminoma of testicular germ cell tumor.Briefings in bioinformatics · 2019Review
- Conformational Dynamics and Allosteric Regulation Landscapes of Germline PTEN Mutations Associated with Autism Compared to Those Associated with Cancer.American journal of human genetics · 2019Article
- Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers.PLoS computational biology · 2019Review
- Personal Mutanomes Meet Modern Oncology Drug Discovery and Precision Health.Pharmacological reviews · 2019Review
- HCCDB: A Database of Hepatocellular Carcinoma Expression Atlas.Genomics, proteomics & bioinformatics · 2018Article
- An integrative functional genomics framework for effective identification of novel regulatory variants in genome-phenome studies.Genome medicine · 2018Article
- TissGDB: tissue-specific gene database in cancer.Nucleic acids research · 2018Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Massive somatic mutations discovered by large cancer genome sequencing projects provide unprecedented opportunities in the development of precision oncology. However, deep understanding of functional consequences of somatic mutations and identifying actionable mutations and the related drug responses currently remain formidable challenges. Dysfunction of protein posttranslational modification plays critical roles in tumorigenesis and drug responses. In this study, we proposed a novel computational oncoproteomics approach, named kinome-wide network module for cancer pharmacogenomics (KNMPx), for identifying actionable mutations that rewired signaling networks and further characterized tumorigenesis and anticancer drug responses. Specifically, we integrated 746,631 missense mutations in 4,997 tumor samples across 16 major cancer types/subtypes from The Cancer Genome Atlas into over 170,000 carefully curated nonredundant phosphorylation sites covering 18,610 proteins. We found 47 mutated proteins (e.g., ERBB2, TP53, and CTNNB1) that had enriched missense mutations at their phosphorylation sites in pan-cancer analysis. In addition, tissue-specific kinase-substrate interaction modules altered by somatic mutations identified by KNMPx were significantly associated with patient survival. We further reported a kinome-wide landscape of pharmacogenomic interactions by incorporating somatic mutation-rewired signaling networks in 1,001 cancer cell lines via KNMPx. Interestingly, we found that cell lines could highly reproduce oncogenic phosphorylation site mutations identified in primary tumors, supporting the confidence in their associations with sensitivity/resistance of inhibitors targeting EGF, MAPK, PI3K, mTOR, and Wnt signaling pathways. In summary, our KNMPx approach is powerful for identifying oncogenic alterations via rewiring phosphorylation-related signaling networks and drug sensitivity/resistance in the era of precision oncology.
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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.