Evidence map›Paper›PMID 23199087›Full record

ArticleThe EPMA journal2010

The use of variations in proteomes to predict, prevent, and personalize treatment for clinically nonfunctional pituitary adenomas.

Xianquan Zhan, Dominic M Desiderio

Open access · hybridAbstract read
In one paragraph

Article in The EPMA journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  19. Pituitary adenoma nitroproteomics: current status and perspectives.Oxidative medicine and cellular longevity · 2013
    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

2 authors at 1 institution in 1 country.

Xianquan ZhanCharles B. Stout Neuroscience Mass Spectrometry Laboratory, The University of Tennessee Health Science Center, 847 Monroe Avenue, Room 117, Memphis, TN 38163 USA.
Dominic M Desiderio
University of Tennessee Health Science Center · US

Funding

Q-TOF HYBRID QUADRUPOLE/ORTHOGONAL TOF MASS SPECTROMETER: PHYSIOLOGYS10RR016679 · NCRR · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI DESIDERIO, DOMINIC M · 2004 to 2004
$500k
NCRR NIH HHS S10 RR016679
6 · The paper itself

Abstract

Pituitary adenomas account for ∼10% of intracranial tumors, and they cause the compression of nearby structures and the inappropriate expression of pituitary hormones. Unlike functional pituitary adenomas, nonfunctional (NF) pituitary adenomas account for ∼30% of pituitary tumors, and are large enough to cause blindness; because they do not cause any clinical hormone hypersecretion, they are difficult to detect at an early stage; and hypopituitarism results. No effective molecular biomarkers or chemical therapy have been approved for the clinical setting. Because an NF pituitary adenoma is highly heterogeneous, differences in the proteins (the proteome) can distinguish among those heterogeneity structures. The components of a proteome dynamically change as an NF adenoma progresses. Changes in protein expression and protein modifications, individually or in combination, might be biomarkers to predict the disease, monitor the tumor progression, and develop an accurate molecular classification for personalized patient treatment. The modalities of proteomic variation might also be useful in the interventional prevention and personalized treatment of patients to halt the occurrence and progression of NF pituitary adenomas.

Identifiers

PMID23199087
PMCPMC3405333
OpenAlexW2025920655

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.