Evidence map›Paper›PMID 21110760›Full record

ReviewExpert review of anticancer therapy2010

Expression profiling for bladder cancer: strategies to uncover prognostic factors.

Georg Bartsch, Anirban P Mitra, Richard J Cote

Abstract readReview
In one paragraph

Review in Expert review of anticancer therapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Molecular markers in bladder cancer.World journal of urology · 2019
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  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

3 authors.

Georg BartschInstitute of Urology, University of Southern California Keck School of Medicine, Los Angeles, CA 90033, USA.
Anirban P Mitra
Richard J Cote

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
Silencing of Apoptotic Pathways in TCC by DNA MethylationP01CA086871 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JONES, PETER A · 2002 to 2006
$6.8M
MVAC IN ORGAN-CONFINED BLADDER CANCER BASED P53 STATUSR01CA071921 · NCI · YALE UNIVERSITY · PI COTE, RICHARD JAMES · 1997 to 2006
$3.0M
Retrieval of DNA, RNA, and Protein from Archival TissueR33CA103455 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TAYLOR, CLIVE R · 2003 to 2005
$1.8M
MOLECULAR/CELLULAR PATHWAYS OF BLADDER CA++ PROGRESSIONU01CA070903 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI COTE, RICHARD JAMES · 1996 to 1999
–
NCI NIH HHS CA-103455NCI NIH HHS CA-14089NCI NIH HHS CA-70903NCI NIH HHS CA-71921NCI NIH HHS CA-86871NCI NIH HHS P01 CA086871NCI NIH HHS P30 CA014089NCI NIH HHS R01 CA071921NCI NIH HHS R33 CA103455NCI NIH HHS U01 CA070903
6 · The paper itself

Abstract

Despite being a common cancer worldwide, management of transitional cell carcinoma of the bladder currently relies primarily on clinical staging and histopathologic parameters. Assaying alterations in molecular pathways can contribute valuable information that can accurately predict outcome and chemotherapeutic response in individual patients with bladder cancer. Medium- to high-throughput gene-expression profiling technologies are now allowing multiplexed assessment of alterations responsible for the genesis and progression of bladder tumors. These investigations employ global or pathway-based approaches to define molecular signatures that can predict prognosis independent of traditional clinical performance metrics. Prognostic panels generated using these strategies can also elucidate the biology of tumor progression and identify potential therapeutic targets.

Indexed as

Gene Expression Regulation, NeoplasticCarcinoma, Transitional CellGene Expression ProfilingHigh-Throughput Screening AssaysHumansNeoplasm StagingPrognosisUrinary Bladder Neoplasms

Identifiers

PMID21110760
PMCPMC3030446

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.