Evidence map›Paper›PMID 29973214›Full record

ArticleBMC medicine2018

Clinical utility of the S3-score for molecular prediction of outcome in non-metastatic and metastatic clear cell renal cell carcinoma.

Florian Büttner, Stefan Winter, Steffen Rausch, Jörg Hennenlotter, Stephan Kruck, Arnulf Stenzl, Marcus Scharpf, Falko Fend, Abbas Agaimy, Arndt Hartmann and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  5. Hepatic Expression of the NaInternational journal of molecular sciences · 2022
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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 4 institutions in 1 country.

Florian BüttnerDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Auerbachstrasse 112, 70376, Stuttgart, Germany.
Stefan WinterDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Auerbachstrasse 112, 70376, Stuttgart, Germany.
Steffen RauschDepartment of Urology, University Hospital Tuebingen, Tuebingen, Germany.
Jörg HennenlotterDepartment of Urology, University Hospital Tuebingen, Tuebingen, Germany.
Stephan KruckDepartment of Urology, University Hospital Tuebingen, Tuebingen, Germany.
Arnulf StenzlDepartment of Urology, University Hospital Tuebingen, Tuebingen, Germany.
Marcus ScharpfInstitute of Pathology and Neuropathology, University Hospital Tuebingen, Tuebingen, Germany.
Falko FendInstitute of Pathology and Neuropathology, University Hospital Tuebingen, Tuebingen, Germany.
Abbas AgaimyInstitute of Pathology, Friedrich-Alexander University Erlangen-Nuernberg, University Hospital Erlangen-Nuernberg, Erlangen, Germany.
Arndt HartmannInstitute of Pathology, Friedrich-Alexander University Erlangen-Nuernberg, University Hospital Erlangen-Nuernberg, Erlangen, Germany.
Jens BedkeDepartment of Urology, University Hospital Tuebingen, Tuebingen, Germany.
Matthias SchwabDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Auerbachstrasse 112, 70376, Stuttgart, Germany. matthias.schwab@ikp-stuttgart.de.
Elke SchaeffelerDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Auerbachstrasse 112, 70376, Stuttgart, Germany. elke.schaeffeler@ikp-stuttgart.de.
University of Tübingen · DEDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology · DEUniversitätsklinikum Erlangen · DEHeidelberg University · DE

Funding

Deutsche Forschungsgemeinschaft DFG SFB685 C05Deutsche Gesellschaft für Urologie RaS1/FE-14
6 · The paper itself

Abstract

backgroundStratification of cancer patients to identify those with worse prognosis is increasingly important. Through in silico analyses, we recently developed a gene expression-based prognostic score (S3-score) for clear cell renal cell carcinoma (ccRCC), using the cell type-specific expression of 97 genes within the human nephron. Herein, we verified the score using whole-transcriptome data of independent cohorts and extend its application for patients with metastatic disease receiving tyrosine kinase inhibitor treatment. Finally, we sought to improve the signature for clinical application using qRT-PCR.

methodsA 97 gene-based S3-score (S3

resultsThe S3

conclusionThe S3-score offers a new clinical avenue for ccRCC risk stratification in the non-metastatic, metastatic, and sunitinib-treated setting.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Renal CellCohort StudiesFemaleHumansKidney NeoplasmsMaleMiddle AgedPrognosisSurvival RateTreatment OutcomeccRCCMetastasesPrognostic markerRenal cell carcinomaSunitinibSurvival

Identifiers

PMID29973214
PMCPMC6033218
OpenAlexW2810278739

What OpenQuestion holds

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LicenceCC BY
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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.