Evidence map›Paper›PMID 32856720›Full record

ArticleInternational journal of cancer2021

Association between breast cancer risk and disease aggressiveness: Characterizing underlying gene expression patterns.

Emilio Ugalde-Morales, Felix Grassmann, Keith Humphreys, Jingmei Li, Mikael Eriksson, Nicholas P Tobin, Åke Borg, Johan Vallon-Christersson, Per Hall, Kamila Czene

Open access · hybridAbstract read
In one paragraph

Article in International journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 28% 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.

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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Risk-Adapted Breast Screening for Women at Low Predicted Risk of Breast Cancer: An Online Discrete Choice Experiment.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Emilio Ugalde-MoralesDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-3201-6416
Felix GrassmannDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-1390-7528
Keith HumphreysDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Jingmei LiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8587-7511
Mikael ErikssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Nicholas P TobinDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Åke BorgDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Johan Vallon-ChristerssonDepartment of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SELund University · SENational University of Singapore · SGUniversity of Aberdeen · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between breast cancer risk defined by the Tyrer-Cuzick score (TC) and disease prognosis is not well established. Here, we investigated the relationship between 5-year TC and disease aggressiveness and then characterized underlying molecular processes. In a case-only study (n = 2474), we studied the association of TC with molecular subtypes and tumor characteristics. In a subset of patients (n = 672), we correlated gene expression to TC and computed a low-risk TC gene expression (TC-Gx) profile, that is, a profile expected to be negatively associated with risk, which we used to test for association with disease aggressiveness. We performed enrichment analysis to pinpoint molecular processes likely to be altered in low-risk tumors. A higher TC was found to be inversely associated with more aggressive surrogate molecular subtypes and tumor characteristics (P < .05) including Ki-67 proliferation status (P < 5 × 10

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedBiomarkers, TumorBreast NeoplasmsCohort StudiesErb-b2 Receptor Tyrosine KinasesEstrogen Receptor alphaFemaleGene Expression ProfilingHumansKaplan-Meier EstimateKi-67 AntigenMiddle AgedNeoplasm InvasivenessNeoplasm StagingBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesESR1 protein, humanEstrogen Receptor alphaKi-67 AntigenMKI67 protein, humanReceptors, Progesteronebreast cancergene expressionprognosissubtypesTyrer-Cuzick risk score

Identifiers

PMID32856720
PMCPMC7818270
OpenAlexW3081971903

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.