Evidence map›Paper›PMID 23687996›Full record

ArticleExperimental hematology & oncology2013

Autoantibodies to tumor-associated antigens as biomarkers in human hepatocellular carcinoma (HCC).

Liping Dai, Ningjing Lei, Mei Liu, Jian-Ying Zhang

Abstract read
In one paragraph

Article in Experimental hematology & oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

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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

4 authors.

Liping Dai *Department of Biological Sciences, The University of Texas at El Paso, El Paso, TX 79968, USA.
Ningjing Lei *Department of Biological Sciences, The University of Texas at El Paso, El Paso, TX 79968, USA.
Mei LiuDepartment of Biological Sciences, The University of Texas at El Paso, El Paso, TX 79968, USA.
Jian-Ying ZhangDepartment of Biological Sciences, The University of Texas at El Paso, El Paso, TX 79968, USA.

Funding

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 SC1 CA166016
6 · The paper itself

Abstract

Tumor-associated antigens (TAAs) recognized by cellular and/or humoral effectors of the immune system are attractive targets for diagnostic and therapeutic approaches to human cancer. Different approaches can be used to comprehensively characterize and validate the identified TAA/anti-TAA systems, which are potential biomarkers in cancer immunodiagnosis. Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide. The high fatality rate of HCC within one year after its detection might be partly attributed to a lack of diagnostic methods that enable the early detection. Our previous studies have shown that novel autoantibodies can appear which are not detected prior to pre-malignant conditions during transition from chronic liver disease to HCC. The hypothesis we advance is the transition to malignancy can be associated with autoantibody response to certain cellular proteins that might have some role in tumorigenesis. We propose that the information that the cancer patient's immune system is conveying in the form of autoantibodies to tumor-associated antigens (TAAs) should be utilized to a greater extent in identifying early signs of tumorigenesis. In this review, we will focus on the important features of TAA and the possibility that autoantibodies to TAAs can be used as biomarkers in immunodiagnosis and prognosis of HCC.

Identifiers

PMID23687996
PMCPMC3665485

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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.