Evidence map›Paper›PMID 26370624›Full record

ArticleScientific reports2015

Autoantibody Profiling of Glioma Serum Samples to Identify Biomarkers Using Human Proteome Arrays.

Parvez Syed, Shabarni Gupta, Saket Choudhary, Narendra Goud Pandala, Apurva Atak, Annie Richharia, Manubhai K P, Heng Zhu, Sridhar Epari, Santosh B Noronha and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
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, 51 citations in OpenAlex.

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  13. Developments and Applications of Functional Protein Microarrays.Molecular & cellular proteomics : MCP · 2020
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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 2 countries.

Parvez SyedDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Shabarni GuptaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Saket ChoudharyDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Narendra Goud PandalaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Apurva AtakDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Annie RichhariaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Manubhai K PDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Heng ZhuDepartment of Pharmacology and Molecular Sciences/High-Throughput Biology Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Sridhar EpariDepartment of Pathology, Tata Memorial Centre, Mumbai 400 012, India.
Santosh B NoronhaDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Aliasgar MoiyadiDepartment of Neurosurgery, Tata Memorial Centre, Mumbai 400 012, India.
Sanjeeva SrivastavaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Indian Institute of Technology Bombay · INTata Memorial Hospital · INHigh Throughput Biology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heterogeneity and poor prognosis associated with gliomas, makes biomarker identification imperative. Here, we report autoantibody signatures across various grades of glioma serum samples and sub-categories of glioblastoma multiforme using Human Proteome chips containing ~17000 full-length human proteins. The deduced sets of classifier proteins helped to distinguish Grade II, III and IV samples from the healthy subjects with 88, 89 and 94% sensitivity and 87, 100 and 73% specificity, respectively. Proteins namely, SNX1, EYA1, PQBP1 and IGHG1 showed dysregulation across various grades. Sub-classes of GBM, based on its proximity to the sub-ventricular zone, have been reported to have different prognostic outcomes. To this end, we identified dysregulation of NEDD9, a protein involved in cell migration, with probable prognostic potential. Another subcategory of patients where the IDH1 gene is mutated, are known to have better prognosis as compared to patients carrying the wild type gene. On a comparison of these two cohorts, we found STUB1 and YWHAH proteins dysregulated in Grade II glioma patients. In addition to common pathways associated with tumourigenesis, we found enrichment of immunoregulatory and cytoskeletal remodelling pathways, emphasizing the need to explore biochemical alterations arising due to autoimmune responses in glioma.

Indexed as

ProteomeProteomicsAutoantibodiesBiomarkersGliomaHumansNeoplasm GradingAutoantibodiesBiomarkersProteome

Identifiers

PMID26370624
PMCPMC4570193
OpenAlexW2418297050

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LicenceCC BY
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Registered trials

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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.