Evidence map›Paper›PMID 30796653›Full record

ArticleBreast cancer research and treatment2019

The estrogen receptor coactivator AIB1 is a new putative prognostic biomarker in ER-positive/HER2-negative invasive lobular carcinoma of the breast.

Ulrik Narbe, Martin Sjöström, Carina Forsare, Pär-Ola Bendahl, Sara Alkner, L M Fredrik Leeb-Lundberg, Kristina Lövgren, Lisa Rydén, Christian Ingvar, Mårten Fernö

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In one paragraph

Article in Breast cancer research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Ulrik NarbeDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Medicon Village, 223 81, Lund, Sweden. ulrik.narbe@med.lu.se.ORCID http://orcid.org/0000-0002-7062-6581
Martin SjöströmDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Medicon Village, 223 81, Lund, Sweden.
Carina ForsareDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Medicon Village, 223 81, Lund, Sweden.
Pär-Ola BendahlDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Medicon Village, 223 81, Lund, Sweden.
Sara AlknerDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Medicon Village, 223 81, Lund, Sweden.
L M Fredrik Leeb-LundbergDepartment of Experimental Medical Science, Lund University, Lund, Sweden.
Kristina LövgrenDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Medicon Village, 223 81, Lund, Sweden.
Lisa RydénDepartment of Clinical Sciences, Division of Surgery, Lund University, Lund, Sweden.
Christian IngvarDepartment of Clinical Sciences, Division of Surgery, Lund University, Lund, Sweden.
Mårten FernöDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Medicon Village, 223 81, Lund, Sweden.

Funding

Swedish Research Council 2016-02427The Swedish Cancer Foundation CAN 2016/423
6 · The paper itself

Abstract

purposeAccording to the 2017 St Gallen surrogate definitions of the intrinsic subtypes, Ki67, progesterone receptor (PR) and Nottingham histological grade (NHG) are used for prognostic classification of estrogen receptor (ER) positive/HER2-negative breast cancer into luminal A- or luminal B-like. The aim of the present study was to investigate if additional biomarkers, related to endocrine signaling pathways, e.g., amplified in breast cancer 1 (AIB1), androgen receptor (AR), and G protein-coupled estrogen receptor (GPER), can provide complementary prognostic information in a subset of ER-positive/HER-negative invasive lobular carcinoma (ILC).

methodsBiomarkers from 224 patients were analyzed immunohistochemically on tissue microarray. The primary endpoint was breast cancer mortality (BCM), analyzed with 10- and 25-year follow-up (FU). In addition, the prognostic value of gene expression data for these biomarkers was analyzed in three publicly available ILC datasets.

resultsAIB1 (high vs. low) was associated to BCM in multivariable analysis (adjusted for age, tumor size, nodal status, NHG, Ki67, luminal-like classification, and adjuvant systemic therapy) with 10-year FU (HR 6.8, 95% CI 2.3-20, P = 0.001) and 25-year FU (HR 3.0, 95% CI 1.1-7.8, P = 0.03). The evidence of a prognostic effect of AIB1 could be confirmed by linking gene expression data to outcome in independent publicly available ILC datasets. AR and GPER were neither associated to BCM with 10-year nor with 25-year FU (P > 0.33). Furthermore, Ki67 and NHG were prognostic for BCM at both 10-year and 25-year FU, whereas PR was not.

conclusionsAIB1 is a new putative prognostic biomarker in ER-positive/HER2-negative ILC.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBreastBreast NeoplasmsCarcinoma, LobularDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMastectomyMiddle AgedNuclear Receptor Coactivator 3PrognosisBiomarkers, TumorGPER1 protein, humanNCOA3 protein, humanNuclear Receptor Coactivator 3Receptors, AndrogenReceptors, EstrogenReceptors, G-Protein-CoupledReceptors, ProgesteroneAmplified in breast cancer 1 (AIB1)Androgen receptor (AR)Gene expressionG protein-coupled estrogen receptor (GPER)Invasive lobular carcinoma (ILC)Prognostic biomarkers

Identifiers

PMID30796653
PMCPMC6533234

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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.