Evidence map›Paper›PMID 24291546›Full record

ArticleThe Journal of urology2014

Differential expression of SDF-1 isoforms in bladder cancer.

Miguel Gosalbez, Marie C Hupe, Soum D Lokeshwar, Travis J Yates, John Shields, Muthu K Veerapen, Axel S Merseburger, Charles J Rosser, Mark S Soloway, Vinata B Lokeshwar

Open access · greenAbstract read
In one paragraph

Article in The Journal of urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Increased PRP19 in Hepatocyte Impedes B Cell Function to Promote Hepatocarcinogenesis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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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

10 authors at 3 institutions in 2 countries.

Miguel Gosalbez *Department of Urology University of Miami - Miller School of Medicine, Miami, Florida, 33101.
Marie C Hupe *Department of Urology University of Miami - Miller School of Medicine, Miami, Florida, 33101.
Soum D Lokeshwar *Sylvester Comprehensive Cancer Center, University of Miami - Miller School of Medicine, Miami, Florida, 33101.
Travis J YatesDepartment of Urology University of Miami - Miller School of Medicine, Miami, Florida, 33101.
John ShieldsDepartment of Urology University of Miami - Miller School of Medicine, Miami, Florida, 33101.
Muthu K VeerapenDepartment of Human Genetics and Hussman Institute of Human Genetics, University of Miami - Miller School of Medicine, Miami, Florida 33136.
Axel S MerseburgerDepartment of Urology and Urologic Oncology Hannover Medical School (MHH), Hannover Germany.
Charles J RosserUniversity of Central Florida College of Medicine, Orlando, Florida.
Mark S SolowayDepartment of Urology University of Miami - Miller School of Medicine, Miami, Florida, 33101.
Vinata B LokeshwarDepartment of Urology University of Miami - Miller School of Medicine, Miami, Florida, 33101.
University of Miami · USMedizinische Hochschule Hannover · DEUniversity of Central Florida · US

Funding

Mechanisms of Bladder Cancer ProgressionR01CA072821 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI LOKESHWAR, VINATA B · 2003 to 2014
$2.4M
Dietary Combination For Prevention of Metastatic Renal Cell CarcinomaR01CA176691 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI LOKESHWAR, VINATA B · 2014 to 2019
$1.7M
NCI NIH HHS R01 CA072821NCI NIH HHS R01 CA176691NCI NIH HHS R01 CA72821-14
6 · The paper itself

Abstract

purposeSDF-1 is a ligand of the chemokine receptors CXCR4 and 7. The 6 known SDF-1 isoforms are generated by alternative mRNA splicing. While SDF-1 expression has been detected in various malignancies, only few groups have reported differential expression of SDF-1 isoforms and its clinical significance. We evaluated the expression of 3 SDF-1 isoforms (α, β and γ) in bladder cancer. MATERIALS AND

methodsUsing quantitative polymerase chain reaction we measured SDF-1α, β and γ mRNA levels in 25 normal and 44 bladder cancer tissues, and in 210 urine specimens (28 normal, 74 benign, 57 bladder cancer, 35 bladder cancer history, 8 other cancer history and 8 other cancer) from consecutive patients. Levels were correlated with clinical outcome.

resultsOf the SDF-1 isoforms only SDF-1β mRNA was significantly over expressed 2.5-fold to sixfold in bladder cancer compared to normal bladder tissues. SDF-1α was expressed in bladder tissues but SDF-1γ was undetectable. On multivariate analysis SDF-1β was an independent predictor of metastasis and disease specific mortality (p=0.017 and 0.043, respectively). In exfoliated urothelial cells only SDF-1β mRNA levels were differentially expressed with 91.2% sensitivity and 73.8% specificity for detecting bladder cancer. In patients with a bladder cancer history increased SDF-1β levels indicated a 4.3-fold increased risk of recurrence within 6 months (p=0.0001).

conclusionsSDF-1 isoforms are differentially expressed in bladder tissues and exfoliated urothelial cells. SDF-1β mRNA levels in bladder cancer tissues predict a poor prognosis. Furthermore, SDF-1β mRNA levels in exfoliated cells detect bladder cancer with high sensitivity and they are a potential predictor of future recurrence.

Indexed as

Gene Expression Regulation, NeoplasticAdultBiomarkers, TumorChemokine CXCL12FemaleHumansMaleMiddle AgedProtein IsoformsReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, NeoplasmUrinary Bladder NeoplasmsBiomarkers, TumorChemokine CXCL12CXCL12 protein, humanProtein IsoformsRNA, Neoplasmbiologicalchemokine CXCL12localneoplasm recurrenceprognosistumor markersurinary bladder neoplasms

Identifiers

PMID24291546
PMCPMC4197846
OpenAlexW2087204482

What OpenQuestion holds

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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.