Evidence map›Paper›PMID 16400012›Full record

ArticleThe American journal of pathology2006

Profiling bladder cancer using targeted antibody arrays.

Marta Sanchez-Carbayo, Nicholas D Socci, Juan Jose Lozano, Brian B Haab, Carlos Cordon-Cardo

Open access · bronzeAbstract readComparative StudyValidation Study
In one paragraph

Article in The American journal of pathology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
9.0field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 167 citations in OpenAlex.

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  8. c-Met: A Promising Therapeutic Target in Bladder Cancer.Cancer management and research · 2022
    Review
  9. Review of biomarker systems as an alternative for early diagnosis of ovarian carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Review
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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

5 authors at 3 institutions in 2 countries.

Marta Sanchez-CarbayoDivision of Molecular Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York, USA. Marta.Sanchez-Carbayo@cnio.es
Nicholas D Socci
Juan Jose Lozano
Brian B Haab
Carlos Cordon-Cardo
Memorial Sloan Kettering Cancer Center · USCentre for Genomic Regulation · ESOrthopaedic Associates of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer is a common malignancy requiring a high degree of surveillance because of the frequent recurrences and the poor clinical outcome of invasive disease. To date, serum biomarkers for bladder cancer lack optimal sensitivity and specificity to assist in diagnosis and disease categorization. Here, we designed antibody arrays for bladder cancer by selecting antibodies against targets differentially expressed in bladder tumors. Serum protein profiles measured by an antibody array containing 254 antibodies discriminated bladder cancer patients from controls (n = 95) with a correct classification rate of 93.7%. A second independent antibody array containing 144 antibodies revealed that protein profiles provide predictive information by stratifying patients with bladder tumors (n = 37) based on their overall survival (P = 0.0479). In addition, serum proteins, such as c-met, that were top ranked at identifying bladder cancer patients were associated with pathological stage, tumor grade, and survival when validated by immunohistochemistry of tissue microarrays containing bladder tumors (n = 173). This study provides experimental evidence for the use of several integrated technologies strengthening the process of biomarker discovery. Serum protein profiles obtained by antibody arrays represent comprehensive means for bladder cancer diagnosis and clinical outcome stratification, which could potentially assist in selection of cancer patients who would benefit from early, individualized therapeutic intervention.

Indexed as

AntibodiesGene Expression ProfilingProtein Array AnalysisAdultAgedAged, 80 and overBiomarkers, TumorEnzyme-Linked Immunosorbent AssayFemaleHumansImmunohistochemistryIn Situ HybridizationMaleMiddle AgedPrognosisSensitivity and SpecificityAntibodiesBiomarkers, Tumor

Identifiers

PMID16400012
PMCPMC1592677
OpenAlexW2040686858

What OpenQuestion holds

Textmetadata
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.