Evidence map›Paper›PMID 25335552›Full record

ArticleJournal of translational medicine2014

Preliminary evaluation of urinary soluble Met as a biomarker for urothelial carcinoma of the bladder.

Brian K McNeil, Maximiliano Sorbellini, Robert L Grubb, Andrea Apolo, Fabiola Cecchi, Gagani Athauda, Benjamin Cohen, Alessio Giubellino, Haley Simpson, Piyush K Agarwal and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2014. 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
1.8field-weighted citation impact, top 15% 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, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. c-Met: A Promising Therapeutic Target in Bladder Cancer.Cancer management and research · 2022
    Review
  4. Role of tyrosine kinases in bladder cancer progression: an overview.Cell communication and signaling : CCS · 2020
    Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. 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

17 authors at 4 institutions in 1 country.

Brian K McNeil
Maximiliano Sorbellini
Robert L Grubb
Andrea Apolo
Fabiola Cecchi
Gagani Athauda
Benjamin Cohen
Alessio Giubellino
Haley Simpson
Piyush K Agarwal
Jonathan Coleman
Robert H Getzenberg
George J Netto
Joanna Shih
W Marston Linehan
Peter A Pinto
Donald P BottaroUrologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bldg 10, Hatfield Clinical Research Center, Rm 2 W-3952 10 Center Drive MSC 1210, 20892-1210, Bethesda, MD, USA. don.bottaro@nih.gov.
Center for Cancer Research · USNational Cancer Institute · USJohns Hopkins University · USWashington University in St. Louis · US

Funding

Clinical Nursing and Data Management CoreZIDBC011089 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LINEHAN, WILLIAM MARSTON · 2009 to 2025
$17.4M
Oncogenic Met Signaling in Urologic MalignanciesZIABC011124 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BOTTARO, DONALD · 2009 to 2021
$5.8M
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundAmong genitourinary malignancies, bladder cancer (BCa) ranks second in both prevalence and cause of death. Biomarkers of BCa for diagnosis, prognosis and disease surveillance could potentially help prevent progression, improve survival rates and reduce health care costs. Among several oncogenic signaling pathways implicated in BCa progression is that of hepatocyte growth factor (HGF) and its cell surface receptor, Met, now targeted by 25 experimental anti-cancer agents in human clinical trials. The involvement of this pathway in several cancers is likely to preclude the use of urinary soluble Met (sMet), which has been correlated with malignancy, for initial BCa screening. However, its potential utility as an aid to disease surveillance and to identify patients likely to benefit from HGF/Met-targeted therapies provide the rationale for this preliminary retrospective study comparing sMet levels between benign conditions and primary BCa, and in BCa cases, between different disease stages.

methodsNormally voided urine samples were collected from patients with BCa (Total: 183; pTa: 55, pTis: 62, pT1: 24, pT2: 42) and without BCa (Total: 83) on tissue-procurement protocols at three institutions and sMet was measured and normalized to urinary creatinine. Normalized sMet values grouped by pathologic stage were compared using non-parametric tests for correlation and significant difference. ROC analyses were used to derive classification models for patients with or without BCa and patients with or without muscle-invasive BCa (MIBCa or NMIBCa).

resultsUrinary sMet levels accurately distinguished patients with BCa from those without (p<0.0001, area under the curve (AUC): 0.7008) with limited sensitivity (61%) and moderate specificity (76%), and patients with MIBCa (n=42) from those with NMIBCa (n=141; p<0.0001, AUC: 0.8002) with moderate sensitivity and specificity (76% and 77%, respectively) and low false negative rate (8%).

conclusionsUrinary sMet levels distinguish patients with BCa from those without, and patients with or without MIBCa, suggesting the potential utility of urinary sMet as a BCa biomarker for surveillance following initial treatment. Further studies are warranted to determine its potential value for prognosis in advanced disease, predicting treatment response, or identifying patients likely to benefit from Met-targeted therapies.

Indexed as

Area Under CurveBiomarkers, TumorCase-Control StudiesHumansNeoplasm StagingPredictive Value of TestsProto-Oncogene Proteins c-metROC CurveSensitivity and SpecificitySolubilityUrinary Bladder NeoplasmsUrotheliumBiomarkers, TumorProto-Oncogene Proteins c-met

Identifiers

PMID25335552
PMCPMC4283116
OpenAlexW2149777116

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.