Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Data-driven analysis of immune infiltrate in a large cohort of breast cancer and its association with disease progression, ER activity, and genomic complexity

7 Jul 2017

Abstract excerpt

// Ruth Dannenfelser 1, 2 , Marianne Nome 3, 4 , Andliena Tahiri 3, 4 , Josie Ursini-Siegel 5 , Hans Kristian Moen Vollan 4, 6, 7 , Vilde D. Haakensen 7 , Åslaug Helland 8 , Bjørn Naume 8 , Carlos Caldas 6 , Anne-Lise Børresen-Dale 4, 7 , Vessela N. Kristensen 3, 4, 7 and Olga G. Troyanskaya 1, 2, 9 1 Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America 2...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Cells and Metastasis
Share to Cancer Immunotherapy and Biomarkers
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 28915659
DOI: 10.18632/oncotarget.19078

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Data-driven analysis of immune infiltrate in a large cohort of breast cancer and its association with disease progression, ER activity, and genomic complexityPMID 28915659Read ↗

Characterizing the Tumor Microenvironment and Its Prognostic Impact in Breast Cancer.Semantic proximity Read ↗

Immune cell infiltration-based signature for prognosis and immunogenomic analysis in breast cancer.Semantic proximity Read ↗

Immune Landscape of Breast CancersSemantic proximity Read ↗

A key molecular driver of tumor-infiltrating lymphocytes in invasive breast cancer on machine learning–based meta-mining researchSemantic proximity Read ↗

A key molecular driver of tumor-infiltrating lymphocytes in invasive breast cancer identified by machine learning-based meta-miningSemantic proximity Read ↗

Immune Landscape of Invasive Ductal Carcinoma Tumour Microenvironment Identifies a Prognostic and Immunotherapeutically Relevant Gene SignatureSemantic proximity Read ↗

A Comprehensive Immunologic Portrait of Triple-Negative Breast CancerSemantic proximity Read ↗

Computational principles and practice for decoding immune contexture in the tumor microenvironmentSemantic proximity Read ↗

Immune Landscape of Invasive Ductal Carcinoma Tumor Microenvironment Identifies a Prognostic and Immunotherapeutically Relevant Gene SignatureSemantic proximity Read ↗

Immunogenomic Landscape in Breast Cancer Reveals Immunotherapeutically Relevant Gene Signatures.Semantic proximity Read ↗

Immune organization defines adaptive immune competence and clinical outcome in breast cancerSemantic proximity Read ↗

A Framework to Predict the Molecular Classification and Prognosis of Breast Cancer Patients and Characterize the Landscape of Immune Cell Infiltration.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.