Evidence map›Paper›PMID 23236990›Full record

ArticleBMC cancer2012

Overexpression of SERBP1 (Plasminogen activator inhibitor 1 RNA binding protein) in human breast cancer is correlated with favourable prognosis.

Nuran Bektas Serce, Andreas Boesl, Irina Klaman, Sonja von Serényi, Erik Noetzel, Michael F Press, Arno Dimmler, Arndt Hartmann, Jalid Sehouli, Ruth Knuechel and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  16. Loss of miR-26a-5p promotes proliferation, migration, and invasion in prostate cancer through negatively regulating SERBP1.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
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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

13 authors at 9 institutions in 3 countries.

Nuran Bektas SerceDepartment of Pathology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127 Bonn, Germany.
Andreas Boesl
Irina Klaman
Sonja von Serényi
Erik Noetzel
Michael F Press
Arno Dimmler
Arndt Hartmann
Jalid Sehouli
Ruth Knuechel
Matthias W Beckmann
Peter A Fasching
Edgar Dahl
RWTH Aachen University · DEUniversitätsklinikum Erlangen · DECharité - Universitätsmedizin Berlin · DECS Diagnostics · DESt. Vincentius-Kliniken · DEUniversity Hospital Bonn · DEUniversity of California, Los Angeles · USUniversity of Southern California · USVorarlberg Institute for Vascular Investigation and Treatment · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlasminogen activator inhibitor 1 (PAI-1) overexpression is an important prognostic and predictive biomarker in human breast cancer. SERBP1, a protein that is supposed to regulate the stability of PAI-1 mRNA, may play a role in gynaecological cancers as well, since upregulation of SERBP1 was described in ovarian cancer recently. This is the first study to present a systematic characterisation of SERBP1 expression in human breast cancer and normal breast tissue at both the mRNA and the protein level.

methodsUsing semiquantitative realtime PCR we analysed SERBP1 expression in different normal human tissues (n = 25), and in matched pairs of normal (n = 7) and cancerous breast tissues (n = 7). SERBP1 protein expression was analysed in two independent cohorts on tissue microarrays (TMAs), an initial evaluation set, consisting of 193 breast carcinomas and 48 normal breast tissues, and a second large validation set, consisting of 605 breast carcinomas. In addition, a collection of benign (n = 2) and malignant (n = 6) mammary cell lines as well as breast carcinoma lysates (n = 16) were investigated for SERBP1 expression by Western blot analysis. Furthermore, applying non-radioisotopic in situ hybridisation a subset of normal (n = 10) and cancerous (n = 10) breast tissue specimens from the initial TMA were analysed for SERBP1 mRNA expression.

resultsSERBP1 is not differentially expressed in breast carcinoma compared to normal breast tissue, both at the RNA and protein level. However, recurrence-free survival analysis showed a significant correlation (P = 0.008) between abundant SERBP1 expression in breast carcinoma and favourable prognosis. Interestingly, overall survival analysis also displayed a tendency (P = 0.09) towards favourable prognosis when SERBP1 was overexpressed in breast cancer.

conclusionsThe RNA-binding protein SERBP1 is abundantly expressed in human breast cancer and may represent a novel breast tumour marker with prognostic significance. Its potential involvement in the plasminogen activator protease cascade warrants further investigation.

Indexed as

Biomarkers, TumorBlotting, WesternBreast NeoplasmsDisease-Free SurvivalFemaleHumansImmunohistochemistryIn Situ HybridizationKaplan-Meier EstimatePrognosisProportional Hazards ModelsReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA-Binding ProteinsTissue Array AnalysisBiomarkers, TumorRNA-Binding ProteinsSERBP1 protein, human

Identifiers

PMID23236990
PMCPMC3538721
OpenAlexW2017130249

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.