Evidence map›Paper›PMID 26390214›Full record

ArticlePloS one2015

An Eighteen Serum Cytokine Signature for Discriminating Glioma from Normal Healthy Individuals.

Mamatha B Nijaguna, Vikas Patil, Alangar S Hegde, Bangalore A Chandramouli, Arimappamagan Arivazhagan, Vani Santosh, Kumaravel Somasundaram

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
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  6. Article
  7. The road-map for establishment of a prognostic molecular marker panel in glioma using liquid biopsy: current status and future directions.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Review
  8. Article
  9. IL-10 in glioma.British journal of cancer · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Glioblastoma: Is There Any Blood Biomarker with True Clinical Relevance?International journal of molecular sciences · 2020
    Review
  16. A Serum Proteomic Signature Predicting Survival in Patients with Glioblastoma.Journal of biochemistry and analytical studies · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

7 authors at 3 institutions in 1 country.

Mamatha B NijagunaDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bangalore 560012, India.
Vikas PatilDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bangalore 560012, India.
Alangar S HegdeDepartment of Neurosurgery, Sri Satya Sai Institute of Higher Medical Sciences, Bangalore 560066, India.
Bangalore A ChandramouliDepartment of Neurosurgery, National Institute of Mental Health and Neuro Sciences, Bangalore 560029, India.
Arimappamagan ArivazhaganDepartment of Neurosurgery, National Institute of Mental Health and Neuro Sciences, Bangalore 560029, India.
Vani SantoshDepartment of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bangalore 560029, India.
Kumaravel SomasundaramDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bangalore 560012, India.
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

Glioblastomas (GBM) are largely incurable as they diffusely infiltrate adjacent brain tissues and are difficult to diagnose at early stages. Biomarkers derived from serum, which can be obtained by minimally invasive procedures, may help in early diagnosis, prognosis and treatment monitoring. To develop a serum cytokine signature, we profiled 48 cytokines in sera derived from normal healthy individuals (n = 26) and different grades of glioma patients (n = 194). We divided the normal and grade IV glioma/GBM serum samples randomly into equal sized training and test sets. In the training set, the Prediction Analysis for Microarrays (PAM) identified a panel of 18 cytokines that could discriminate GBM sera from normal sera with maximum accuracy (95.40%) and minimum error (4.60%). The 18-cytokine signature obtained in the training set discriminated GBM sera from normal sera in the test set as well (accuracy 96.55%; error 3.45%). Interestingly, the 18-cytokine signature also differentiated grade II/Diffuse Astrocytoma (DA) and grade III/Anaplastic Astrocytoma (AA) sera from normal sera very efficiently (DA vs. normal-accuracy 96.00%, error 4.00%; AA vs. normal-accuracy 95.83%, error 4.17%). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis using 18 cytokines resulted in the enrichment of two pathways, cytokine-cytokine receptor interaction and JAK-STAT pathways with high significance. Thus our study identified an 18-cytokine signature for distinguishing glioma sera from normal healthy individual sera and also demonstrated the importance of their differential abundance in glioma biology.

Indexed as

AdultAstrocytomaBiomarkers, TumorBrainBrain NeoplasmsCytokinesGlioblastomaGliomaHumansMiddle AgedSupport Vector MachineYoung AdultBiomarkers, TumorCytokines

Identifiers

PMID26390214
PMCPMC4577083
OpenAlexW2215684076

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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.