Evidence map›Paper›PMID 34055594›Full record

ArticleFrontiers in oncology2021

Multiple Reaction Monitoring-Based Targeted Assays for the Validation of Protein Biomarkers in Brain Tumors.

Saicharan Ghantasala, Medha Gayathri J Pai, Deeptarup Biswas, Nikita Gahoi, Shuvolina Mukherjee, Manubhai Kp, Mehar Un Nissa, Alisha Srivastava, Sridhar Epari, Prakash Shetty 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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

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  16. Apolipoproteins: New players in cancers.Frontiers in pharmacology · 2022
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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.

Saicharan GhantasalaCentre for Research in Nanotechnology and Science, Indian Institute of Technology Bombay, Mumbai, India.
Medha Gayathri J PaiDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.
Deeptarup BiswasDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.
Nikita GahoiCentre for Research in Nanotechnology and Science, Indian Institute of Technology Bombay, Mumbai, India.
Shuvolina MukherjeeDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.
Manubhai KpDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.
Mehar Un NissaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.
Alisha SrivastavaDepartment of Genetics, University of Delhi, New Delhi, India.
Sridhar EpariDepartment of Pathology, Tata Memorial Centre's - Advanced Centre for Treatment, Research and Education in Cancer, Navi Mumbai, India.
Prakash ShettyHomi Bhabha National Institute, Mumbai, India.
Aliasgar MoiyadiHomi Bhabha National Institute, Mumbai, India.
Sanjeeva SrivastavaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of omics technologies over the last decade has helped in advancement of research and our understanding of complex diseases like brain cancers. However, barring genomics, no other omics technology has been able to find utility in clinical settings. The recent advancements in mass spectrometry instrumentation have resulted in proteomics technologies becoming more sensitive and reliable. Targeted proteomics, a relatively new branch of mass spectrometry-based proteomics has shown immense potential in addressing the shortcomings of the standard molecular biology-based techniques like Western blotting and Immunohistochemistry. In this study we demonstrate the utility of Multiple reaction monitoring (MRM), a targeted proteomics approach, in quantifying peptides from proteins like Apolipoprotein A1 (APOA1), Apolipoprotein E (APOE), Prostaglandin H2 D-Isomerase (PTGDS), Vitronectin (VTN) and Complement C3 (C3) in cerebrospinal fluid (CSF) collected from Glioma and Meningioma patients. Additionally, we also report transitions for peptides from proteins - Vimentin (VIM), Cystatin-C (CST3) and Clusterin (CLU) in surgically resected Meningioma tissues; Annexin A1 (ANXA1), Superoxide dismutase (SOD2) and VIM in surgically resected Glioma tissues; and Microtubule associated protein-2 (MAP-2), Splicing factor 3B subunit 2 (SF3B2) and VIM in surgically resected Medulloblastoma tissues. To our knowledge, this is the first study reporting the use of MRM to validate proteins from three types of brain malignancies and two different bio-specimens. Future studies involving a large cohort of samples aimed at accurately detecting and quantifying peptides of proteins with roles in brain malignancies could potentially result in a panel of proteins showing ability to classify and grade tumors. Successful application of these techniques could ultimately offer alternative strategies with increased accuracy, sensitivity and lower turnaround time making them translatable to the clinics.

Indexed as

gliomasMedulloblastomaMeningiomamultiple reaction monitoringtargeted proteomics

Identifiers

PMID34055594
PMCPMC8162214

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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.