Evidence map›Paper›PMID 28248250›Full record

ReviewProteomes2016

Advances of Salivary Proteomics in Oral Squamous Cell Carcinoma (OSCC) Detection: An Update.

Rabia Sannam Khan, Zohaib Khurshid, Shazia Akhbar, Syed Faraz Moin

Abstract readReview
In one paragraph

Review in Proteomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  6. Effect of ethanol extract fromOpen veterinary journal · 2023
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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

4 authors.

Rabia Sannam KhanDepartment of Oral Pathology, College of Dentistry, Baqai University, Super Highway, P.O. Box: 2407, Karachi 74600, Pakistan. rabia.sannam.khan@gmail.com.
Zohaib KhurshidDepartment of Prosthodontics and Implantology, College of Dentistry, King Faisal University, Al-Ahsa 31982, Saudi Arabia. drzohaibkhurshid@gmail.com.
Shazia AkhbarDepartment of Oral Pathology, Dow Dental College, Dow University of Heath Sciences (DUHS), Baba-E-Urdu Road, Karachi 74200, Pakistan. shazia.akhbar@duhs.edu.pk.
Syed Faraz MoinNational Center for Proteomics, University of Karachi, University Road, Karachi 75270, Pakistan. faraz.moin@uok.edu.pk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral cancer refers to malignancies that have higher morbidity and mortality rates due to the late stage diagnosis and no early detection of a reliable diagnostic marker, while oral squamous cell carcinoma (OSCC) is amongst the world's top ten most common cancers. Diagnosis of cancer requires highly sensitive and specific diagnostic tools which can support untraceable hidden sites of OSCC, yet to be unleashed, for which plenty of biomarkers are identified; the most recommended biomarker detection medium for OSCC includes biological fluids, such as blood and saliva. Saliva holds a promising future in the search for new clinical biomarkers that are easily accessible, less complex, accurate, and cost effective as well as being a non-invasive technique to follow, by analysing the malignant cells' molecular pathology obtained from saliva through proteomic, genomic and transcriptomic approaches. However, protein biomarkers provide an immense potential for developing novel marker-based assays for oral cancer, hence this current review offers an overall focus on the discovery of a panel of candidates as salivary protein biomarkers, as well as the proteomic tools used for their identification and their significance in early oral cancer detection.

Indexed as

biomarkersdiagnosisoral squamous cell carcinomasaliva

Identifiers

PMID28248250
PMCPMC5260973

What OpenQuestion holds

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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.