Evidence map›Paper›PMID 23806562›Full record

ReviewAutoimmunity reviews2013

Using immunoproteomics to identify tumor-associated antigens (TAAs) as biomarkers in cancer immunodiagnosis.

Qing Zhu, Mei Liu, Liping Dai, Xia Ying, Hua Ye, Yusen Zhou, Suxia Han, Jian-Ying Zhang

Open access · greenAbstract readReview
In one paragraph

Review in Autoimmunity reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

31 citing papers in PubMed, 55 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Qing ZhuDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiao Tong University Medical Center, Xi'an, Shaanxi, China; Department of Biological Sciences, The University of Texas at El Paso, 500 West University Avenue, El Paso, TX, USA. Electronic address: newzhuqing1972@yahoo.com.
Mei Liu
Liping Dai
Xia Ying
Hua Ye
Yusen Zhou
Suxia Han
Jian-Ying Zhang
Xi'an Jiaotong University · CNZhengzhou University · CNBeijing YouAn Hospital · CNInstitute of Microbiology · CNThe University of Texas at El Paso · US

Funding

TCCG12MD007592 · NIMHD · UNIVERSITY OF TEXAS EL PASO · PI KIRKEN, ROBERT A. · 2012 to 2018
$19.4M
Autoantibodies to tumor-associated antigens as diagnostic biomarkers in liver canSC1CA166016 · NCI · UNIVERSITY OF TEXAS EL PASO · PI ZHANG, JIANYING · 2011 to 2014
$1.0M
NCI NIH HHS 5SC1CA166016NCI NIH HHS SC1 CA166016NIMHD NIH HHS 5G12MD007592NIMHD NIH HHS G12 MD007592
6 · The paper itself

Abstract

Since intracellular proteins involved in carcinogenesis have been shown to provoke autoantibody responses, autoantibodies can be used as probes in immunoproteomics to isolate, identify, and characterize potential tumor-associated antigens (TAAs). Once a TAA is identified, several approaches will be used to comprehensively characterize and validate the identified TAA/anti-TAA systems that are potential biomarkers in certain types of cancer. Our ultimate goal is to establish rigorous criteria for designation of an autoantibody to a TAA as a cancer biomarker, examine candidate TAAs for sensitivity and specificity of anti-TAA antibody response, and further develop customized TAA arrays that can be used to enhance anti-TAA antibody detection in cancer. This review will mainly focus on the recent advances in our studies using immunoproteomic approach to identify and characterize TAAs as biomarkers in cancer.

Indexed as

Antigens, NeoplasmAutoantibodiesBiomarkersBiomarkers, TumorHumansNeoplasmsProteomicsSensitivity and SpecificityAntigens, NeoplasmAutoantibodiesBiomarkersBiomarkers, TumorAutoantibodyCancerImmunodiagnosisImmunoproteomicsTumor-associated antigen

Identifiers

PMID23806562
PMCPMC3789855
OpenAlexW1984610466

What OpenQuestion holds

Textmetadata
LicenceTDM
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.