Evidence map›Paper›PMID 25202906›Full record

ArticlePloS one2014

Urinary signatures of Renal Cell Carcinoma investigated by peptidomic approaches.

Clizia Chinello, Marta Cazzaniga, Gabriele De Sio, Andrew James Smith, Erica Gianazza, Angelica Grasso, Francesco Rocco, Stefano Signorini, Marco Grasso, Silvano Bosari and 5 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. 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

15 authors.

Clizia ChinelloDepartment of Health Science, University of Milano-Bicocca, Monza, Italy.
Marta CazzanigaDepartment of Health Science, University of Milano-Bicocca, Monza, Italy.
Gabriele De SioDepartment of Health Science, University of Milano-Bicocca, Monza, Italy.
Andrew James SmithDepartment of Health Science, University of Milano-Bicocca, Monza, Italy.
Erica GianazzaDepartment of Health Science, University of Milano-Bicocca, Monza, Italy.
Angelica GrassoDepartment of Specialistic Surgical Sciences, Urology unit, Ospedale Maggiore Policlinico Foundation, Milano, Italy.
Francesco RoccoDepartment of Specialistic Surgical Sciences, Urology unit, Ospedale Maggiore Policlinico Foundation, Milano, Italy.
Stefano SignoriniDepartment of Laboratory Medicine, Hospital of Desio, Desio, Italy.
Marco GrassoDepartment of Surgical Pathology, Cytology, Medical Genetics and Nephropathology, Azienda Ospedaliera San Gerardo, Monza, Italy.
Silvano BosariDepartment of Medicine, Surgery and Dental Sciences, Pathology Unit, Ospedale Maggiore Policlinico Foundation Milano, Italy.
Italo ZoppisDepartment of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy.
Mohammed DaknaMosaiques Diagnostics GmbH, Hannover, Germany.
Yuri E M van der BurgtCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
Giancarlo MauriDepartment of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy.
Fulvio MagniDepartment of Health Science, University of Milano-Bicocca, Monza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal Cell Carcinoma (RCC) is typically asymptomatic and surgery usually increases patient's lifespan only for early stage tumours. Moreover, solid renal masses cannot be confidently differentiated from RCC. Therefore, markers to distinguish malignant kidney tumours and for their detection are needed. Two different peptide signatures were obtained by a MALDI-TOF profiling approach based on urine pre-purification by C8 magnetic beads. One cluster of 12 signals could differentiate malignant tumours (n = 137) from benign renal masses and controls (n = 153) with sensitivity of 76% and specificity of 87% in the validation set. A second cluster of 12 signals distinguished clear cell RCC (n = 118) from controls (n = 137) with sensitivity and specificity values of 84% and 91%, respectively. Most of the peptide signals used in the two models were observed at higher abundance in patient urines and could be identified as fragments of proteins involved in tumour pathogenesis and progression. Among them: the Meprin 1α with a pro-angiogenic activity, the Probable G-protein coupled receptor 162, belonging to the GPCRs family and known to be associated with several key functions in cancer, the Osteopontin that strongly correlates to tumour stages and invasiveness, the Phosphorylase b kinase regulatory subunit alpha and the SeCreted and TransMembrane protein 1.

Indexed as

ProteomicsAdultAgedCarcinoma, Renal CellCluster AnalysisFemaleHumansKidney NeoplasmsMaleMiddle AgedPeptidesYoung AdultPeptides

Identifiers

PMID25202906
PMCPMC4159280

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.