Evidence map›Paper›PMID 30808902›Full record

ArticleScientific reports2019

Serum biomarkers identification by iTRAQ and verification by MRM: S100A8/S100A9 levels predict tumor-stroma involvement and prognosis in Glioblastoma.

Anjali Arora, Vikas Patil, Paramita Kundu, Paturu Kondaiah, A S Hegde, A Arivazhagan, Vani Santosh, Debnath Pal, Kumaravel Somasundaram

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
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  12. Proteomics techniques in protein biomarker discovery.Quantitative biology (Beijing, China) · 2024
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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

9 authors at 3 institutions in 1 country.

Anjali AroraDepartments of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, 560012, India.
Vikas PatilDepartments of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, 560012, India.
Paramita KunduMolecular Reproduction, Development and Genetics, Indian Institute of Science, Bangalore, 560012, India.
Paturu KondaiahMolecular Reproduction, Development and Genetics, Indian Institute of Science, Bangalore, 560012, India.
A S HegdeSri Satya Sai Institute of Higher Medical Sciences, Bangalore, 560066, India.
A ArivazhaganDepartments of Neurosurgery, National Institute of Mental Health and Neuro Sciences, Bangalore, 560029, India.
Vani SantoshDepartments of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bangalore, 560029, India.
Debnath PalComputational and Data Sciences, Indian Institute of Science, Bangalore, 560012, India.
Kumaravel SomasundaramDepartments of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, 560012, India. skumar1@iisc.ac.in.
Indian Institute of Science Bangalore · INNational Institute of Mental Health and Neurosciences · INSri Sathya Sai Institute of Higher Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advances in biology and treatment modalities, the prognosis of glioblastoma (GBM) remains poor. Serum reflects disease macroenvironment and thus provides a less invasive means to diagnose and monitor a diseased condition. By employing 4-plex iTRAQ methodology, we identified 40 proteins with differential abundance in GBM sera. The high abundance of serum S100A8/S100A9 was verified by multiple reaction monitoring (MRM). ELISA and MRM-based quantitation showed a significant positive correlation. Further, an integrated investigation using stromal, tumor purity and cell type scores demonstrated an enrichment of myeloid cell lineage in the GBM tumor microenvironment. Transcript levels of S100A8/S100A9 were found to be independent poor prognostic indicators in GBM. Medium levels of pre-operative and three-month post-operative follow-up serum S100A8 levels predicted poor prognosis in GBM patients who lived beyond median survival. In vitro experiments showed that recombinant S100A8/S100A9 proteins promoted integrin signalling dependent glioma cell migration and invasion up to a threshold level of concentrations. Thus, we have discovered GBM serum marker by iTRAQ and verified by MRM. We also demonstrate interplay between tumor micro and macroenvironment and identified S100A8 as a potential marker with diagnostic and prognostic value in GBM.

Indexed as

Tumor MicroenvironmentApoptosisBiomarkers, TumorCalgranulin ACalgranulin BCase-Control StudiesCell MovementCell ProliferationFollow-Up StudiesGlioblastomaHumansMass SpectrometryPrognosisProspective StudiesSurvival RateTumor Cells, CulturedBiomarkers, TumorCalgranulin ACalgranulin BS100A8 protein, humanS100A9 protein, human

Identifiers

PMID30808902
PMCPMC6391445
OpenAlexW2918488955

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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.