Evidence map›Paper›PMID 31924693›Full record

ArticleMolecular & cellular proteomics : MCP2020

Integration of IgA and IgG Autoantigens Improves Performance of Biomarker Panels for Early Diagnosis of Lung Cancer.

Jianbo Pan, Lili Yu, Qingwei Wu, Xiaoqing Lin, Shuang Liu, Shaohui Hu, Christian Rosa, Daniel Eichinger, Ignacio Pino, Heng Zhu and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 31 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

12 authors at 3 institutions in 3 countries.

Jianbo PanDepartment of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, Maryland 21205.
Lili YuProvincial Clinical College, Fujian Medical University, Fuzhou 350001, Fujian, China; Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou 350001, Fujian, China.
Qingwei WuProvincial Clinical College, Fujian Medical University, Fuzhou 350001, Fujian, China; Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou 350001, Fujian, China.
Xiaoqing LinProvincial Clinical College, Fujian Medical University, Fuzhou 350001, Fujian, China; Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou 350001, Fujian, China.
Shuang LiuDepartment of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland 21205.
Shaohui HuCDI Laboratories, Inc., Mayagüez, PR 00681.
Christian RosaCDI Laboratories, Inc., Mayagüez, PR 00681.
Daniel EichingerCDI Laboratories, Inc., Mayagüez, PR 00681.
Ignacio PinoCDI Laboratories, Inc., Mayagüez, PR 00681. Electronic address: ignacio.pino@cdi-lab.com.
Heng ZhuDepartment of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland 21205; The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD 21205.
Jiang QianDepartment of Ophthalmology, Johns Hopkins School of Medicine, Baltimore, Maryland 21205; The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD 21205.
Yi HuangProvincial Clinical College, Fujian Medical University, Fuzhou 350001, Fujian, China; Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou 350001, Fujian, China; Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou 350001, Fujian, China. Electronic address: hyi8070@126.com.
CDI Laboratories (United States) · PRFujian Medical University · CNJohns Hopkins University · US

Funding

Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
NCI NIH HHS U24 CA160036
6 · The paper itself

Abstract

Lung cancer (LC) remains the leading cause of mortality from malignant tumors worldwide. In our previous study, we surveyed both IgG and IgM-bound serological biomarkers and validated a panel of IgG-bound autoantigens for early LC diagnosis with 50% sensitivity at 90% specificity. To further improve the performance of these serological biomarkers, we surveyed HuProt arrays, comprised of 20,240 human proteins, for IgA-bound autoantigens because IgAs are a major immunoglobulin isotype in the lung. Integrating with IgG-bound autoantigens, we discovered and validated a combined biomarker panel using ELISA-format tests. Specifically, in Phase I, we obtained IgA-based autoimmune profiles of 69 early stage LC patients, 30 healthy subjects and 25 patients with lung benign lesions (LBL) on HuProt arrays and identified 28 proteins as candidate autoantigens that were significantly associated with early stage LC. In Phase II, we re-purified the autoantigens and converted them into an ELISA-format testing to profile an additional large cohort, comprised of 136 early stage LC patients, 58 healthy individuals, and 29 LBL patients. Integration of IgG autoimmune profiles allowed us to identify and validate a biomarker panel of three IgA autoantigens (

Indexed as

Early Detection of CancerAgedAutoantigensBiomarkers, TumorFemaleHumansImmunoglobulin AImmunoglobulin GLungLung NeoplasmsMaleMiddle AgedAutoantigensBiomarkers, TumorImmunoglobulin AImmunoglobulin Gcancer biomarker(s)caner early diagnosisearly diagnosisELISAhigh throughput screeningHuProt arraylung cancerLung cancerprotein arrayserological biomarkers

Identifiers

PMID31924693
PMCPMC7050113
OpenAlexW2999673403

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.