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A deep learning system can accurately classify primary and metastatic cancers based on patterns of passenger mutations

https://doi.org/10.1101/214494
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/path.2915openalex-snapshot
MicroRNA profiling for the identification of cancers with unknown primary tissue‐of‐origin
inferredcites →https://doi.org/10.1002/path.4251openalex-snapshot
Massively‐parallel sequencing assists the diagnosis and guided treatment of cancers of unknown primary
inferredcites →https://doi.org/10.1007/s00428-017-2137-8openalex-snapshot
Liquid biopsy: unlocking the potentials of cell-free DNA
inferredcites →https://doi.org/10.1007/s11864-013-0257-1openalex-snapshot
Molecular Diagnosis of the Tissue of Origin in Cancer of Unknown Primary Site: Useful in Patient Management
inferredcites →https://doi.org/10.1016/j.cell.2015.12.028openalex-snapshot
Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma
inferredcites →https://doi.org/10.1016/j.jare.2014.11.007openalex-snapshot
A mini review on cancer of unknown primary site: A clinical puzzle for the oncologists
inferredcites →https://doi.org/10.1016/j.pathol.2017.12.016openalex-snapshot
Whole genome landscapes of major melanoma subtypes
inferredcites →https://doi.org/10.1016/j.yane.2012.02.046openalex-snapshot
Hallmarks of Cancer: The Next Generation
inferredcites →https://doi.org/10.1016/s0959-8049(03)00547-1openalex-snapshot
Diagnostic and therapeutic management of cancer of an unknown primary
inferredcites →https://doi.org/10.1016/s1535-6108(02)00089-2openalex-snapshot
A genome-based strategy uncovers frequent BRAF mutations in melanoma
inferredcites →https://doi.org/10.1038/nature11547openalex-snapshot
Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes
inferredcites →https://doi.org/10.1038/nature12213openalex-snapshot
Mutational heterogeneity in cancer and the search for new cancer-associated genes
inferredcites →https://doi.org/10.1038/nature12477openalex-snapshot
Signatures of mutational processes in human cancer
inferredcites →https://doi.org/10.1038/nature12634openalex-snapshot
Mutational landscape and significance across 12 major cancer types
inferredcites →https://doi.org/10.1038/nature14221openalex-snapshot
Cell-of-origin chromatin organization shapes the mutational landscape of cancer
inferredcites →https://doi.org/10.1038/nature14410openalex-snapshot
Whole–genome characterization of chemoresistant ovarian cancer
inferredcites →https://doi.org/10.1038/nature22071openalex-snapshot
Whole-genome landscapes of major melanoma subtypes
inferredcites →https://doi.org/10.1038/nature26000openalex-snapshot
DNA methylation-based classification of central nervous system tumours
inferredcites →https://doi.org/10.1038/ng.2611openalex-snapshot
Whole-genome sequencing identifies genetic alterations in pediatric low-grade gliomas
inferredcites →https://doi.org/10.1038/ng.2762openalex-snapshot
Emerging landscape of oncogenic signatures across human cancers
inferredcites →https://doi.org/10.1038/ng.2938openalex-snapshot
The genomic landscape of diffuse intrinsic pontine glioma and pediatric non-brainstem high-grade glioma
inferredcites →https://doi.org/10.1038/s41586-018-0703-0openalex-snapshot
Sensitive tumour detection and classification using plasma cell-free DNA methylomes
inferredcites →https://doi.org/10.1038/sj.bjc.6604315openalex-snapshot
Gene expression profiling may improve diagnosis in patients with carcinoma of unknown primary
inferredcites →https://doi.org/10.1093/nar/gkw1121openalex-snapshot
COSMIC: somatic cancer genetics at high-resolution
inferredcites →https://doi.org/10.1101/162784openalex-snapshot
Pan-cancer analysis of whole genomes
inferredcites →https://doi.org/10.1101/187609openalex-snapshot
Selective and mechanistic sources of recurrent rearrangements across the cancer genome
inferredcites →https://doi.org/10.1101/237313openalex-snapshot
Discovery and characterization of coding and non-coding driver mutations in more than 2,500 whole cancer genomes
inferredcites →https://doi.org/10.1101/322859openalex-snapshot
The Repertoire of Mutational Signatures in Human Cancer
inferredcites →https://doi.org/10.1101/385294openalex-snapshot
Pathway and network analysis of more than 2,500 whole cancer genomes
inferredcites →https://doi.org/10.1101/415133openalex-snapshot
Pan-cancer whole genome analyses of metastatic solid tumors
inferredcites →https://doi.org/10.1101/517565openalex-snapshot
Tumor mutational landscape is a record of the pre-malignant state
inferredcites →https://doi.org/10.1155/2015/491502openalex-snapshot
Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations
inferredcites →https://doi.org/10.1158/1055-9965.epi-06-0414openalex-snapshot
The Epidemiology of Second Primary Cancers
inferredcites →https://doi.org/10.1158/1078-0432.ccr-17-2994openalex-snapshot
Genomics-Driven Precision Medicine for Advanced Pancreatic Cancer: Early Results from the COMPASS Trial
inferredcites →https://doi.org/10.1186/s12920-015-0130-0openalex-snapshot
TumorTracer: a method to identify the tissue of origin from the somatic mutations of a tumor specimen
inferredcites →https://doi.org/10.1186/s13073-017-0493-2openalex-snapshot
Predicting cancer type from tumour DNA signatures
inferredcites →https://doi.org/10.5858/134.2.216openalex-snapshot
Diagnosis of Metastatic Neoplasms: Molecular Approaches for Identification of Tissue of Origin
inferredcites →https://doi.org/10.5858/2008-132-326-uttibiopenalex-snapshot
Undifferentiated Tumor: True Identity by Immunohistochemistry
inferredcites →https://doi.org/10.7326/0003-4819-138-10-200305200-00010openalex-snapshot
Philadelphia ChromosomePositive Leukemias: From Basic Mechanisms to Molecular Therapeutics
inferredcites →https://doi.org/10.7860/jcdr/2013/5127.3132openalex-snapshot
The Role of Immunohistochemistry in the Analysis of the Spectrum of Small Round Cell Tumours at a Tertiary Care Centre

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1101/2022.12.22.22283696openalex-snapshot
Utilizing Electronic Health Records (EHR) and Tumor Panel Sequencing to Demystify Prognosis of Cancer of Unknown Primary (CUP) patients
inferred← citeshttps://doi.org/10.1109/embc44109.2020.9176345openalex-snapshot
Predicting Cancer Types From miRNA Stem-loops Using Deep Learning
inferred← citeshttps://doi.org/10.1126/sciadv.aba1862openalex-snapshot
Matching cell lines with cancer type and subtype of origin via mutational, epigenomic, and transcriptomic patterns
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