Evidence map›Paper›PMID 28052770›Full record

ArticleBMC cancer2017

A systematic search strategy identifies cubilin as independent prognostic marker for renal cell carcinoma.

Gabriela Gremel, Dijana Djureinovic, Marjut Niinivirta, Alexander Laird, Oscar Ljungqvist, Henrik Johannesson, Julia Bergman, Per-Henrik Edqvist, Sanjay Navani, Naila Khan and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

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  8. Tumor-Suppressive and Oncogenic Roles of microRNA-149-5p in Human Cancers.International journal of molecular sciences · 2022
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  12. Human microsporidian pathogenJournal of cell science · 2021
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  15. Bioinformatics for The Prognostic Value and Function of Cubilin (CUBN) in Colorectal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  16. Article
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  20. Review
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

17 authors at 7 institutions in 2 countries.

Gabriela GremelDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Dijana DjureinovicDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Marjut NiinivirtaDepartment of Oncology, Radiology and Radiation Science, Uppsala University, Uppsala, Sweden.
Alexander LairdMRC Human Genetics Unit, University of Edinburgh, Edinburgh, UK.
Oscar LjungqvistAtlas Antibodies AB, Stockholm, Sweden.
Henrik JohannessonAtlas Antibodies AB, Stockholm, Sweden.
Julia BergmanDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Per-Henrik EdqvistDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Sanjay NavaniLab Surgpath, Mumbai, India.
Naila KhanLab Surgpath, Mumbai, India.
Tushar PatilLab Surgpath, Mumbai, India.
Åsa SivertssonScience for Life Laboratory, Royal Institute of Technology, Stockholm, Sweden.
Mathias UhlénScience for Life Laboratory, Royal Institute of Technology, Stockholm, Sweden.
David J HarrisonSchool of Medicine, University of St. Andrews, St. Andrews, UK.
Gustav J UllenhagDepartment of Oncology, Radiology and Radiation Science, Uppsala University, Uppsala, Sweden.
Grant D StewartEdinburgh Urological Cancer Group, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Fredrik PonténDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. fredrik.ponten@igp.uu.se.
Uppsala University · SEAtlas Antibodies (Sweden) · SEKTH Royal Institute of Technology · SEScience for Life Laboratory · SEEdinburgh Cancer Research · GBUniversity of Edinburgh · GBUniversity of St Andrews · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is an unmet clinical need for better prognostic and diagnostic tools for renal cell carcinoma (RCC).

methodsHuman Protein Atlas data resources, including the transcriptomes and proteomes of normal and malignant human tissues, were searched for RCC-specific proteins and cubilin (CUBN) identified as a candidate. Patient tissue representing various cancer types was constructed into a tissue microarray (n = 940) and immunohistochemistry used to investigate the specificity of CUBN expression in RCC as compared to other cancers. Two independent RCC cohorts (n = 181; n = 114) were analyzed to further establish the sensitivity of CUBN as RCC-specific marker and to explore if the fraction of RCCs lacking CUBN expression could predict differences in patient survival.

resultsCUBN was identified as highly RCC-specific protein with 58% of all primary RCCs staining positive for CUBN using immunohistochemistry. In venous tumor thrombi and metastatic lesions, the frequency of CUBN expression was increasingly lost. Clear cell RCC (ccRCC) patients with CUBN positive tumors had a significantly better prognosis compared to patients with CUBN negative tumors, independent of T-stage, Fuhrman grade and nodal status (HR 0.382, CI 0.203-0.719, P = 0.003).

conclusionsCUBN expression is highly specific to RCC and loss of the protein is significantly and independently associated with poor prognosis. CUBN expression in ccRCC provides a promising positive prognostic indicator for patients with ccRCC. The high specificity of CUBN expression in RCC also suggests a role as a new diagnostic marker in clinical cancer differential diagnostics to confirm or rule out RCC.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellDatabases, GeneticDisease ProgressionDown-RegulationFemaleGene Expression Regulation, NeoplasticHumansKidney NeoplasmsLymph NodesMaleNeoplasm GradingNeoplasm StagingPrognosisReceptors, Cell SurfaceBiomarkers, Tumorintrinsic factor-cobalamin receptorReceptors, Cell SurfaceCubilinImmunohistochemistryIndependent prognostic biomarkerRenal cell carcinoma

Identifiers

PMID28052770
PMCPMC5215231
OpenAlexW2571132286

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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.