Evidence map›Paper›PMID 23135912›Full record

SynthesisCancer research2012

An integrated genome-wide approach to discover tumor-specific antigens as potential immunologic and clinical targets in cancer.

Qing-Wen Xu, Wei Zhao, Yue Wang, Maureen A Sartor, Dong-Mei Han, Jixin Deng, Rakesh Ponnala, Jiang-Ying Yang, Qing-Yun Zhang, Guo-Qing Liao and 8 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Cancer research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Molecular and Circulating Biomarkers of Gastric Cancer.International journal of molecular sciences · 2022
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
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  12. Review
  13. Article
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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

18 authors at 6 institutions in 2 countries.

Qing-Wen XuDepartment of Immunology, Peking University Health Science Center, Beijing, China.
Wei Zhao
Yue Wang
Maureen A Sartor
Dong-Mei Han
Jixin Deng
Rakesh Ponnala
Jiang-Ying Yang
Qing-Yun Zhang
Guo-Qing Liao
Yi-Mei Qu
Lu Li
Fang-Fang Liu
Hong-Mei Zhao
Yan-Hui Yin
Wei-Feng Chen
Yu Zhang
Xiao-Song Wang
Air Force General Hospital PLA · CNPeking University · CNPeking University Third Hospital · CNPeking University Cancer Hospital · CNPeking University People's Hospital · CNUniversity of Michigan–Ann Arbor · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
Computational Biology Cluster (CBC)S10RR029501 · NCRR · RICE UNIVERSITY · PI COLEMAN, JAMES S. · 2010 to 2010
$1.6M
ACQUISITION OF A CIRCULAR DICHROISM SPECTROMETER SYSTEMS10RR002950 · NCRR · EMORY UNIVERSITY · PI WILKINSON, KEITH D · 1986 to 1986
–
NCI NIH HHS P30 CA125123NCRR NIH HHS S10RR02950NCRR NIH HHS S10 RR029501PHS HHS P30-125123-06
6 · The paper itself

Abstract

Tumor-specific antigens (TSA) are central elements in the immune control of cancers. To systematically explore the TSA genome, we developed a computational technology called heterogeneous expression profile analysis (HEPA), which can identify genes relatively uniquely expressed in cancer cells in contrast to normal somatic tissues. Rating human genes by their HEPA score enriched for clinically useful TSA genes, nominating candidate targets whose tumor-specific expression was verified by reverse transcription PCR (RT-PCR). Coupled with HEPA, we designed a novel assay termed protein A/G-based reverse serological evaluation (PARSE) for quick detection of serum autoantibodies against an array of putative TSA genes. Remarkably, highly tumor-specific autoantibody responses against seven candidate targets were detected in 4% to 11% of patients, resulting in distinctive autoantibody signatures in lung and stomach cancers. Interrogation of a larger cohort of 149 patients and 123 healthy individuals validated the predictive value of the autoantibody signature for lung cancer. Together, our results establish an integrated technology to uncover a cancer-specific antigen genome offering a reservoir of novel immunologic and clinical targets.

Indexed as

ImmunotherapyMolecular Targeted TherapyAntigens, NeoplasmCase-Control StudiesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic Association StudiesGenome-Wide Association StudyGenomicsHumansMaleMicroarray AnalysisNeoplasmsOrgan SpecificitySystems IntegrationAntigens, Neoplasm

Identifiers

PMID23135912
PMCPMC3525759
OpenAlexW2139551778

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.