Evidence map›Paper›PMID 37250455›Full record

ReviewNon-coding RNA research2023

Salivaomics to decode non-coding RNAs in oral cancer. A narrative review.

Peramaiyan Rajendran, Ramya Sekar, Hamad Abu Zahra, Selvaraj Jayaraman, Ponnulakshmi Rajagopal, Basem M Abdallah, Enas M Ali, Salaheldin Abdelraouf Abdelsalam, Vishnupriya Veeraraghavan

Open access · goldAbstract readReview
In one paragraph

Review in Non-coding RNA research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. 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

9 authors at 4 institutions in 3 countries.

Peramaiyan RajendranDepartment of Biological Sciences, College of Science, King Faisal University, Al-Ahsa, 31982, Saudi Arabia.
Ramya SekarCentral Research Laboratory, Meenakshi Academy of Higher Education and Research, West K.K. Nagar, Chennai, 600 078, India.
Hamad Abu ZahraDepartment of Biological Sciences, College of Science, King Faisal University, Al-Ahsa, 31982, Saudi Arabia.
Selvaraj JayaramanCentre of Molecular Medicine and Diagnostics (COMManD), Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600 077, Tamil Nadu, India.
Ponnulakshmi RajagopalCentral Research Laboratory, Meenakshi Academy of Higher Education and Research, West K.K. Nagar, Chennai, 600 078, India.
Basem M AbdallahDepartment of Biological Sciences, College of Science, King Faisal University, Al-Ahsa, 31982, Saudi Arabia.
Enas M AliDepartment of Biological Sciences, College of Science, King Faisal University, Al-Ahsa, 31982, Saudi Arabia.
Salaheldin Abdelraouf AbdelsalamDepartment of Biological Sciences, College of Science, King Faisal University, Al-Ahsa, 31982, Saudi Arabia.
Vishnupriya VeeraraghavanCentre of Molecular Medicine and Diagnostics (COMManD), Department of Biochemistry, Saveetha Dental College & Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600 077, Tamil Nadu, India.
King Faisal University · SASaveetha University · INAssiut University · EGMeenakshi Academy of Higher Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral cancer is the most debilitating disease which affects the orderly life of a human. With so much advancement in research and technology, the average life expectancy of an individual with oral cancer appears to be about 5 years. The changing trend in incidence of oral cancer among young individuals and women without tobacco habits are ascending. Non habit related oral cancer are taking centre stage and multiple factors which induce complex biology are associated in such scenarios. To decipher the aetiology and to understand the process, these cancerous conditions are to be studied at molecular level. Saliva, the most non-invasively obtained body fluid are assessed for biomarkers exclusively in liquid biopsy. This fluid gives a huge platform to study number of molecules associated with oral cancer. Non coding RNAs are transcripts with no protein coding function. They are gaining more importance in recent times. Long noncoding RNA, microRNA are major types of noncoding transcriptome that influences in progression of oral cancer. They seem to play an important role in health and disease. Apart from these, circulating tumour cells, exosomes, extracellular vesicles, antigens and other proteins can be studied from saliva. This review is aimed to update the knowledge on current biomarkers in saliva associated with oral cancer and their epigenetic role in disease progression as well recent advances in detecting these markers to identify the stage of the disease, which will help in deciding the treatment protocol.

Indexed as

BiomarkerLiquid biopsyNon coding RNAOral cancerPoint-of-careSaliva

Identifiers

PMID37250455
PMCPMC10220469
OpenAlexW4376503625

What OpenQuestion holds

Textmetadata
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.