Evidence map›Paper›PMID 34900729›Full record

ArticleFrontiers in oncology2021

Plasma-Derived Extracellular Vesicles Reveal Galectin-3 Binding Protein as Potential Biomarker for Early Detection of Glioma.

Rashmi Rana, Kirti Chauhan, Poonam Gautam, Mahesh Kulkarni, Reema Banarjee, Parul Chugh, Satnam Singh Chhabra, Rajesh Acharya, Samir Kumar Kalra, Anshul Gupta and 2 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
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  7. Glioma-Derived Exosomes and Their Application as Drug Nanoparticles.International journal of molecular sciences · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. The coming of age of liquid biopsy in neuro-oncology.Brain : a journal of neurology · 2023
    Article
  13. Article
  14. New thoughts and findings on invasion and metastasis of pancreatic ductal adenocarcinoma (PDAC) from comparative proteomics: multi-target therapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Review
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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.

Rashmi RanaDepartment of Research, Sir Ganga Ram Hospital, New Delhi, India.
Kirti ChauhanDepartment of Research, Sir Ganga Ram Hospital, New Delhi, India.
Poonam GautamLaboratory of Molecular Oncology, National Institute of Pathology, Indian Council of Medical Research (ICMR), New Delhi, India.
Mahesh KulkarniBiochemical Sciences Division, National Chemical Laboratory, Council of Scientific and Industrial Research (CSIR), Pune, India.
Reema BanarjeeBiochemical Sciences Division, National Chemical Laboratory, Council of Scientific and Industrial Research (CSIR), Pune, India.
Parul ChughDepartment of Research, Sir Ganga Ram Hospital, New Delhi, India.
Satnam Singh ChhabraDepartment of Neurosurgery, Sir Ganga Ram Hospital, New Delhi, India.
Rajesh AcharyaDepartment of Neurosurgery, Sir Ganga Ram Hospital, New Delhi, India.
Samir Kumar KalraDepartment of Neurosurgery, Sir Ganga Ram Hospital, New Delhi, India.
Anshul GuptaDepartment of Neurosurgery, Sir Ganga Ram Hospital, New Delhi, India.
Sunila JainDepartment of Histopathology, Sir Ganga Ram Hospital, New Delhi, India.
Nirmal Kumar GangulyDepartment of Research, Sir Ganga Ram Hospital, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gliomas are the most common type of the malignant brain tumor, which arise from glial cells. They make up about 40% of all primary brain tumors and around 70% of all primary malignant brain tumors. They can occur anywhere in the central nervous system (CNS) and have a poor prognosis. The average survival of glioma patients is approximately 6-15 months with poor aspects of life. In this edge, identification of proteins secreted by cancer cells is of special interest because it may provide a better understanding of tumor progression and provide early diagnosis of the diseases. Extracellular vesicles (EVs) were isolated from pooled plasma of healthy controls (n=03) and patients with different grades of glioma (Grade I or II or III, n=03 each). Nanoparticle tracking analysis, western blot, and flow cytometry were performed to determine the size, morphology, the concentration of glioma-derived vesicles and EV marker, CD63. Further, iTRAQ-based LC-MS/MS analysis of EV protein was performed to determine the differential protein abundance in extracellular vesicles across different glioma grades. We further verified galectin-3 binding protein (LGALS3BP) by ELISA in individual blood plasma and plasma-derived vesicles from control and glioma patients (n=40 each). Analysis by Max Quant identified 123 proteins from the pooled patient exosomes, out of which 34, 21, and 14 proteins were found to be differentially abundant by more than 1.3-fold in the different grades of glioma grade I, pilocytic astrocytoma; grade II, diffuse astrocytoma; grade III, anaplastic astrocytoma, respectively, in comparison with the control samples. A total of seven proteins-namely, CRP, SAA2, SERPINA3, SAA1, C4A, LV211, and KV112-showed differential abundance in all the three grades. LGALS3BP was seen to be upregulated across the different grades, and ELISA analysis from individual blood plasma and plasma-derived extracellular vesicles confirmed the increased expression of LGALS3BP in glioma patients (p<0.001). The present study provides LGALS3BP as a potential biomarker for early detection of glioma and improve survival outcome of the patient. The present study further provides the information of progression and monitoring the tumor grades (grade 1, grade II, grade III).

Indexed as

blood-based biomarkerearly detectiongalectin-3 binding proteinplasma-derived extracellular vesiclesproteomics

Identifiers

PMID34900729
PMCPMC8661035

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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.