Predicting hepatitis B virus–positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning

By Q. Ye, L. Qin, M. Forgues, P. He, J. W. Kim, A. Peng, Richard M. Simon, Yan Li, A. Robles, Yidong Chen and 6 more. Nature Medicine, 2003

845 citations recorded by the source corpus.

Subfields: Biotechnology, Molecular Biology, Rheumatology

View Paper: https://www.semanticscholar.org/paper/0f8ef4fc563af85744cf6214925a0fbf51edc2a7

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Citations in the corpus

Tumor cell biodiversity drives microenvironmental reprogramming in liver cancer (2019, background): “Primary liver cancer, the second most lethal malignancy worldwide, is etiologically and biologically heterogeneous, comprising many molecularly unique subtypes (Boyault et al., 2007; Jusakul et al., 2017; Lee et al., 2004; TheCancerGenomeAtlasResearchNetwork, 2017; Ye et al., 2003).”
TP53 mutations and hepatocellular carcinoma: insights into the etiology and pathogenesis of liver cancer (2007, background): “For example, genomic and gene expression analyses have identified key dysregulated signal transduction pathways involved in liver carcinogenesis (Thorgeirsson and Grisham, 2002; Ye et al., 2003; Budhu et al., 2006; Farazi and DePinho, 2006; Lee and Thorgeirsson, 2006).”
Prediction of venous metastases, recurrence, and prognosis in hepatocellular carcinoma based on a unique immune response signature of the liver microenvironment. (2006, methodology): “Total RNA from 54 hepatic tissue samples (8 normal liver, 22 chronic liverdiseases, as well as 24 HCC patients [12 MIM and 12 MAM]) were from our previous studies (Kim et al., 2004; Ye et al., 2003).”
EpCAM and alpha-fetoprotein expression defines novel prognostic subtypes of hepatocellular carcinoma. (2008, methodology): “The BRB-ArrayTools software (version 3.3) was used for class comparison and prediction analyses, as previously described ( 9 , 12).”
Cytokines and their relationship to the symptoms and outcome of cancer (2008, background): “Genes associated with metastasis can be expressed in cancer and stromal cells in early-stage primary tumour”
ONCOMINE: a cancer microarray database and integrated data-mining platform. (2004, background): “Also, novel tissue [25] [26] and serum [27] [28] biomarkers as well as potential therapeutic targets [29] [30] have been identified using these genome-wide screens.”
A Unique Metastasis Gene Signature Enables Prediction of Tumor Relapse in Early Stage Hepatocellular Carcinoma Patients (2010, neutral): “revealed that global gene expression patterns are very similar between primary HCCs and their paired metastases (19).”
Machine Learning as an Adversarial Service: Learning Black-Box Adversarial Examples (2017, background): “Machine Learning models are increasingly relied upon for safety and business critical tasks such as in medicine [24], [31], [40], robotics and automotive [29], [33], [38], security [2], [16], [37] and financial [12], [17], [35] applications.”
Cancer metastasis: building a framework. (2006, background): “studies in experimental models of HCC metastasis (Ye et al., 2003).”
Learning Universal Adversarial Perturbations with Generative Models (2017, background): “Machine Learning models are increasingly relied upon for safety and business critical tasks such as in medicine [23], [29], [39], robotics and automotive [27], [31], [38], security [2], [17], [36] and ﬁnancial [13], [18], [34] applications.”