Evidence map›Paper›PMID 23586059›Full record

ReviewBioMed research international2013

Mass spectrometry-based proteomics in molecular diagnostics: discovery of cancer biomarkers using tissue culture.

Debasish Paul, Avinash Kumar, Akshada Gajbhiye, Manas K Santra, Rapole Srikanth

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 6 pooled it
6.2field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 6 syntheses or guidelines pooled it, 67 citations in OpenAlex.

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  5. Prognostic significance of dickkopf-1 overexpression in solid tumors: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
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  11. Diagnostic value of platelet-to-lymphocyte ratio in patients with solitary pulmonary nodules.Kardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery · 2022
    Article
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  17. Serum proteomics study reveals candidate biomarkers for systemic lupus erythematosus.International journal of clinical and experimental pathology · 2017
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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

5 authors at 2 institutions in 1 country.

Debasish PaulNational Centre for Cell Science, University of Pune Campus, Ganeshkhind, Pune, Maharashtra 411007, India.
Avinash Kumar
Akshada Gajbhiye
Manas K Santra
Rapole Srikanth
National Centre for Cell Science · INSavitribai Phule Pune University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate diagnosis and proper monitoring of cancer patients remain a key obstacle for successful cancer treatment and prevention. Therein comes the need for biomarker discovery, which is crucial to the current oncological and other clinical practices having the potential to impact the diagnosis and prognosis. In fact, most of the biomarkers have been discovered utilizing the proteomics-based approaches. Although high-throughput mass spectrometry-based proteomic approaches like SILAC, 2D-DIGE, and iTRAQ are filling up the pitfalls of the conventional techniques, still serum proteomics importunately poses hurdle in overcoming a wide range of protein concentrations, and also the availability of patient tissue samples is a limitation for the biomarker discovery. Thus, researchers have looked for alternatives, and profiling of candidate biomarkers through tissue culture of tumor cell lines comes up as a promising option. It is a rich source of tumor cell-derived proteins, thereby, representing a wide array of potential biomarkers. Interestingly, most of the clinical biomarkers in use today (CA 125, CA 15.3, CA 19.9, and PSA) were discovered through tissue culture-based system and tissue extracts. This paper tries to emphasize the tissue culture-based discovery of candidate biomarkers through various mass spectrometry-based proteomic approaches.

Indexed as

Pathology, MolecularBiomarkers, TumorCell Line, TumorElectrophoresis, Gel, Two-DimensionalGene Expression Regulation, NeoplasticHumansMass SpectrometryNeoplasmsPrognosisProteomicsTissue Culture TechniquesBiomarkers, Tumor

Identifiers

PMID23586059
PMCPMC3613068
OpenAlexW2055157236

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.