Evidence map›Paper›PMID 27926932›Full record

ArticlePloS one2016

Epsin Family Member 3 and Ribosome-Related Genes Are Associated with Late Metastasis in Estrogen Receptor-Positive Breast Cancer and Long-Term Survival in Non-Small Cell Lung Cancer Using a Genome-Wide Identification and Validation Strategy.

Birte Hellwig, Katrin Madjar, Karolina Edlund, Rosemarie Marchan, Cristina Cadenas, Anne-Sophie Heimes, Katrin Almstedt, Antje Lebrecht, Isabel Sicking, Marco J Battista and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 31 citations in OpenAlex.

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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

14 authors at 3 institutions in 2 countries.

Birte HellwigDepartment of Statistics, TU Dortmund University, Dortmund, Germany.
Katrin MadjarDepartment of Statistics, TU Dortmund University, Dortmund, Germany.
Karolina EdlundLeibniz Research Centre for Working Environment and Human Factors (IfADo) at TU Dortmund University, Dortmund, Germany.
Rosemarie MarchanLeibniz Research Centre for Working Environment and Human Factors (IfADo) at TU Dortmund University, Dortmund, Germany.
Cristina CadenasLeibniz Research Centre for Working Environment and Human Factors (IfADo) at TU Dortmund University, Dortmund, Germany.
Anne-Sophie HeimesDepartment of Obstetrics and Gynaecology, University Hospital, Mainz, Germany.
Katrin AlmstedtDepartment of Obstetrics and Gynaecology, University Hospital, Mainz, Germany.
Antje LebrechtDepartment of Obstetrics and Gynaecology, University Hospital, Mainz, Germany.
Isabel SickingDepartment of Obstetrics and Gynaecology, University Hospital, Mainz, Germany.
Marco J BattistaDepartment of Obstetrics and Gynaecology, University Hospital, Mainz, Germany.
Patrick MickeDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Marcus SchmidtDepartment of Obstetrics and Gynaecology, University Hospital, Mainz, Germany.
Jan G HengstlerLeibniz Research Centre for Working Environment and Human Factors (IfADo) at TU Dortmund University, Dortmund, Germany.
Jörg RahnenführerDepartment of Statistics, TU Dortmund University, Dortmund, Germany.
TU Dortmund University · DELeibniz Research Centre for Working Environment and Human Factors · DEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn breast cancer, gene signatures that predict the risk of metastasis after surgical tumor resection are mainly indicative of early events. The purpose of this study was to identify genes linked to metastatic recurrence more than three years after surgery.

methodsAffymetrix HG U133A and Plus 2.0 array datasets with information on metastasis-free, disease-free or overall survival were accessed via public repositories. Time restricted Cox regression models were used to identify genes associated with metastasis during or after the first three years post-surgery (early- and late-type genes). A sequential validation study design, with two non-adjuvantly treated discovery cohorts (n = 409) and one validation cohort (n = 169) was applied and identified genes were further evaluated in tamoxifen-treated breast cancer patients (n = 923), as well as in patients with non-small cell lung (n = 1779), colon (n = 893) and ovarian (n = 922) cancer.

resultsTen late- and 243 early-type genes were identified in adjuvantly untreated breast cancer. Adjustment to clinicopathological factors and an established proliferation-related signature markedly reduced the number of early-type genes to 16, whereas nine late-type genes still remained significant. These nine genes were associated with metastasis-free survival (MFS) also in a non-time restricted model, but not in the early period alone, stressing that their prognostic impact was primarily based on MFS more than three years after surgery. Four of the ten late-type genes, the ribosome-related factors EIF4B, RPL5, RPL3, and the tumor angiogenesis modifier EPN3 were significantly associated with MFS in the late period also in a meta-analysis of tamoxifen-treated breast cancer cohorts. In contrast, only one late-type gene (EPN3) showed consistent survival associations in more than one cohort in the other cancer types, being associated with worse outcome in two non-small cell lung cancer cohorts. No late-type gene was validated in ovarian and colon cancer.

conclusionsRibosome-related genes were associated with decreased risk of late metastasis in both adjuvantly untreated and tamoxifen-treated breast cancer patients. In contrast, high expression of epsin (EPN3) was associated with increased risk of late metastasis. This is of clinical relevance considering the well-understood role of epsins in tumor angiogenesis and the ongoing development of epsin antagonizing therapies.

Indexed as

Adaptor Proteins, Vesicular TransportAgedAntineoplastic Agents, HormonalBiomarkers, TumorBreast NeoplasmsCarcinoma, Non-Small-Cell LungDisease-Free SurvivalFemaleHumansLung NeoplasmsMiddle AgedNeoplasm MetastasisPrognosisProportional Hazards ModelsReceptors, EstrogenRibosomal Protein L3Adaptor Proteins, Vesicular TransportAntineoplastic Agents, HormonalBiomarkers, TumorEPN3 protein, humanReceptors, EstrogenRibosomal Protein L3RPL3 protein, humanTamoxifen

Identifiers

PMID27926932
PMCPMC5142791
OpenAlexW2560311475

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.