Article

Rare non-synonymous germline mutations systematically define the risk of triple negative breast cancer

2018-04-16

Abstract excerpt

Early identification of the risk for triple-negative breast cancer (TNBC) at the asymptomatic phase could lead to better prognosis. Here we developed a machine learning method to quantify systematic impact of all rare germline mutations on each pathway. We collected 106 TNBC patients and 287 elder healthy women controls. The spectra of activity profiles in multiple pathways were mapped and most pathway activities...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 93ba4a7e-8f40-50a2-8627-91a22f29c266
DOI: 10.1101/302398

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Rare non-synonymous germline mutations systematically define the risk of triple negative breast cancerDOI 10.1101/302398Read

DAGM: a novel modelling framework to assess the risk of HER2-negative breast cancer based on germline rare coding mutationsSemantic proximity Read

DAGM: A novel modelling framework to assess the risk of HER2-negative breast cancer based on germline rare coding mutations.Semantic proximity Read

eTumorRisk, an algorithm predicts cancer risk based on comutated gene networks in an individual’s germline genomeSemantic proximity Read

[Application of next-generation sequencing in detection of BRCA1/2 and homologous recombination repair pathway multi-genes germline mutation and correlation analysis].Semantic proximity Read

Unveiling Pathogenesis and Therapeutic Targets of Metastatic Breast Cancer Through Sparse Modelling of Genomic LandscapeSemantic proximity Read

On the discovered Cancer Driving Nucleotides (CDNs)–Distributions across genes, cancer types and patientsSemantic proximity Read

Cancer Classification from Healthy DNASemantic proximity Read

DGAT-onco: A powerful method to detect oncogenes by integrating differential mutational analysis and functional impacts of somatic mutationsSemantic proximity Read

Evaluation and integration of cancer gene classifiers: identification and ranking of plausible drivers.Semantic proximity Read

Germline variants and somatic mutation signatures of breast cancer across populations of African and European ancestry in the US and NigeriaSemantic proximity Read

Sparse Modeling of Genomic Landscape Identifies Pathogenic Processes and Therapeutic Targets in Metastatic Breast CancerSemantic proximity Read

Exploring phenotype patterns of breast cancer within somatic mutations: a modicum in the intrinsic code.Semantic proximity Read