Evidence map›Paper›PMID 30419021›Full record

ArticlePloS one2018

Novel protein signatures suggest progression to muscular invasiveness in bladder cancer.

Magnus Berle, Luiza Ghila, Heidrun Vethe, Adeel Chaudhry, Hilde Garberg, Christian Beisland, Øystein Ariansen Haaland, Eystein Oveland, Ole Johan Halvorsen, Thomas Davidsson and 1 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

11 authors.

Magnus BerleDepartment of Urology, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0001-8087-4610
Luiza GhilaDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Heidrun VetheDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Adeel ChaudhryDepartment of Urology, Haukeland University Hospital, Bergen, Norway.
Hilde GarbergDepartment of Biomedicine, Proteomic Unit, University of Bergen, Bergen, Norway.
Christian BeislandDepartment of Urology, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0002-3216-4937
Øystein Ariansen HaalandDepartment of Global Public Health and Primary Care, University of Bergen, Norway.
Eystein OvelandDepartment of Biomedicine, Proteomic Unit, University of Bergen, Bergen, Norway.
Ole Johan HalvorsenDepartment of Pathology, Haukeland University Hospital, Bergen, Norway.
Thomas DavidssonDepartment of Urology, Haukeland University Hospital, Bergen, Norway.
Simona CheraDepartment of Clinical Science, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with bladder cancer need frequent controls over long follow-up time due to high recurrence rate and risk of conversion to muscle invasive cancer with poor prognosis. We identified cancer-related molecular signatures in apparently healthy bladder in patients with subsequent muscular invasiveness during follow-up. Global proteomics of the normal tissue biopsies revealed specific proteome fingerprints in these patients prior to subsequent muscular invasiveness. In these presumed normal samples, we detected modulations of proteins previously associated with different cancer types. This study indicates that analyzing apparently healthy tissue of a cancer-invaded organ may suggest disease progression.

Indexed as

Disease ProgressionProteomicsAgedAged, 80 and overBiomarkers, TumorFemaleGene Expression ProfilingHumansMaleMiddle AgedMusclesNeoplasm InvasivenessPrognosisUrinary Bladder NeoplasmsBiomarkers, Tumor

Identifiers

PMID30419021
PMCPMC6231613

What Socratic 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 Socratic graph.