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

Development and validation of a stromal immune phenotype classifier for predicting immune activity and prognosis in triple-negative breast cancer.

International journal of cancer - 15 Jul 2020

Zheng Shaoquan, Zou Yutian, Xie Xinhua, Liang Jie-Ying, Yang Anli, Yu Kai, Wang Jian, Tang Hailin, Xie Xiaoming

Abstract excerpt

Our study aims to construct a prognosis-related immune phenotype classifier for predicting clinical prognosis and immune activity in triple-negative breast cancer (TNBC). A total of 237 patients with TNBC from Sun Yat-sen University Cancer Center (SYSUCC) and 533 patients with TNBC from public datasets were included in our study. A stromal immune quantified index was generated with a LASSO Cox regression model...

Read the complete abstract on PubMed

Topics

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

Share to B7-H1 Antigen
Share to CD4-Positive T-Lymphocytes

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to CTLA-4 Antigen

Share to Monocytes

Share to Programmed Cell Death 1 Receptor

Share to Regression Analysis

Share to Triple Negative Breast Neoplasms

Share to Tumor Microenvironment

Source

Identifiers

PMID: 32285442
DOI: 10.1002/ijc.33009

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Development and validation of a stromal immune phenotype classifier for predicting immune activity and prognosis in triple-negative breast cancer.PMID 32285442Read ↗

Classification of triple-negative breast cancers based on Immunogenomic profilingSemantic proximity Read ↗

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

Development of an Immune-Related Prognostic Signature in Breast CancerSemantic proximity Read ↗

Immune Classification and Immune Landscape Analysis of Triple-Negative Breast CancerSemantic proximity Read ↗

A Risk Scoring System Based on Tumor Microenvironment Cells to Predict Prognosis and Immune Activity in Triple-Negative Breast CancerSemantic proximity Read ↗

Immune-related gene data-based molecular subtyping related to the prognosis of breast cancer patients.Semantic proximity Read ↗

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

Construction of immune score and its prognostic value in invasive lobular carcinoma of the breast using computational pathology analysisSemantic proximity Read ↗

A scoring screening system based on machine learning for immunotherapy beneficiaries in triple-negative breast cancerSemantic proximity Read ↗

Immune-related Gene Data-based Molecular Subtyping Related to the Prognosis for Breast Cancer PatientsSemantic proximity Read ↗

Immune Microenvironment-Related Genes Contribute to Clinical Prognosis in Patients with Triple-Negative Breast CancerSemantic proximity Read ↗

Machine learning-driven identification and immunohistochemical validation of an integrated immune-inflammatory phenotype for disease-free survival stratification in breast cancer.Semantic proximity Read ↗

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