Evidence map›Paper›PMID 17683518›Full record

ArticleGenome biology2007

An immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancer.

Andrew E Teschendorff, Ahmad Miremadi, Sarah E Pinder, Ian O Ellis, Carlos Caldas

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03515798 (A Prospective Multicenter Open-label, Randomized Phase II Study of Pembrolizumab in Combination With Neoadjuvant EC-Paclitaxel Regimen in HER2-negative Inflammatory Breast Cancer.), which is not on this map. Cited by 277 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
277citing papers in PubMed, 5 pooled it
10.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03515798 phase2active not recruitingnot on this mapstarted 2018, after this paper: background citation

A Prospective Multicenter Open-label, Randomized Phase II Study of Pembrolizumab in Combination With Neoadjuvant EC-Paclitaxel Regimen in HER2-negative Inflammatory Breast Cancer.

TypeinterventionalSponsorInstitut Paoli-CalmettesRan2018 to 2027Enrolled52ConditionsInflammatory Breast CancerArmsPembrolizumab Injection, neoadjuvant EC-paclitaxel chemotherapy
3 · Its place in the literature

Who cites it

277 citing papers in PubMed, 5 syntheses or guidelines pooled it, 510 citations in OpenAlex.

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  3. The Role of Proliferation in Determining Response to Neoadjuvant Chemotherapy in Breast Cancer: A Gene Expression-Based Meta-Analysis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
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217 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Andrew E TeschendorffBreast Cancer Functional Genomics Laboratory, Cancer Research UK Cambridge Research Institute and Department of Oncology, University of Cambridge, Robinson Way, Cambridge CB2 0RE, UK. aet21@cam.ac.uk
Ahmad Miremadi
Sarah E Pinder
Ian O Ellis
Carlos Caldas
Addenbrooke's Hospital · GBCambridge University Hospitals NHS Foundation Trust · GBCancer Research UK Cambridge Center · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstrogen receptor (ER)-negative breast cancer specimens are predominantly of high grade, have frequent p53 mutations, and are broadly divided into HER2-positive and basal subtypes. Although ER-negative disease has overall worse prognosis than does ER-positive breast cancer, not all ER-negative breast cancer patients have poor clinical outcome. Reliable identification of ER-negative tumors that have a good prognosis is not yet possible.

resultsWe apply a recently proposed feature selection method in an integrative analysis of three major microarray expression datasets to identify molecular subclasses and prognostic markers in ER-negative breast cancer. We find a subclass of basal tumors, characterized by over-expression of immune response genes, which has a better prognosis than the rest of ER-negative breast cancers. Moreover, we show that, in contrast to ER-positive tumours, the majority of prognostic markers in ER-negative breast cancer are over-expressed in the good prognosis group and are associated with activation of complement and immune response pathways. Specifically, we identify an immune response related seven-gene module and show that downregulation of this module confers greater risk for distant metastasis (hazard ratio 2.02, 95% confidence interval 1.2-3.4; P = 0.009), independent of lymph node status and lymphocytic infiltration. Furthermore, we validate the immune response module using two additional independent datasets.

conclusionWe show that ER-negative basal breast cancer is a heterogeneous disease with at least four main subtypes. Furthermore, we show that the heterogeneity in clinical outcome of ER-negative breast cancer is related to the variability in expression levels of complement and immune response pathway genes, independent of lymphocytic infiltration.

Indexed as

Gene ExpressionBiomarkers, TumorBreast NeoplasmsDatabases, GeneticFemaleGenes, BRCA1HumansImmunityLymph NodesOligonucleotide Array Sequence AnalysisPattern Recognition, AutomatedPrognosisReceptors, EstrogenBiomarkers, TumorReceptors, Estrogen

Identifiers

PMID17683518
PMCPMC2374988
OpenAlexW2130598050

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.