Evidence map›Paper›PMID 33564003›Full record

Trial reportScientific reports2021

Identification of potential salivary biomarker panels for oral squamous cell carcinoma.

Anu Jain, Chinmaya Narayana Kotimoole, Sushmita Ghoshal, Jaimanti Bakshi, Aditi Chatterjee, Thottethodi Subrahmanya Keshava Prasad, Arnab Pal

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Oral Squamous Cell Carcinoma: Focus on Biomarkers for Screening.Journal of dentistry (Shiraz, Iran) · 2024
    Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. 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

7 authors at 3 institutions in 1 country.

Anu JainDepartment of Biochemistry, Post Graduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Chinmaya Narayana KotimooleCentre for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed To Be University), Mangalore, 575018, India.
Sushmita GhoshalDepartment of Radiotherapy, Post Graduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Jaimanti BakshiDepartment of Otolaryngology, Post Graduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Aditi ChatterjeeInstitute of Bioinformatics, International Technology Park, Bengaluru, 560066, India.
Thottethodi Subrahmanya Keshava PrasadCentre for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed To Be University), Mangalore, 575018, India.
Arnab PalDepartment of Biochemistry, Post Graduate Institute of Medical Education and Research, Chandigarh, 160012, India. pal.arnab@pgimer.edu.in.
Post Graduate Institute of Medical Education and Research · INYenepoya University · INInstitute of Bioinformatics · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide with the maximum number of incidences and deaths reported from India. One of the major causes of poor survival rate associated with OSCC has been attributed to late presentation due to non-availability of a biomarker. Identification of early diagnostic biomarker will help in reducing the disease morbidity and mortality. We validated 12 salivary proteins using targeted proteomics, identified initially by relative quantification of salivary proteins on LC-MS, in OSCC patients and controls. Salivary AHSG (p = 0.0041**) and KRT6C (p = 0.002**) were upregulated in OSCC cases and AZGP1 (p ≤ 0.0001***), KLK1 (p = 0.006**) and BPIFB2 (p = 0.0061**) were downregulated. Regression modelling resulted in a significant risk prediction model (p < 0.0001***) consisting of AZGP1, AHSG and KRT6C for which ROC curve had AUC, sensitivity and specificity of 82.4%, 78% and 73.5% respectively for all OSCC cases and 87.9%, 87.5% and 73.5% respectively for late stage (T3/T4) OSCC. AZGP1, AHSG, KRT6C and BPIFB2 together resulted in ROC curve (p < 0.0001***) with AUC, sensitivity and specificity of 94%, 100% and 77.6% respectively for N0 cases while KRT6C and AZGP1 for N+ cases with ROC curve (p < 0.0001***) having AUC sensitivity and specificity of 76.8%, 73% and 69.4%. Our data aids in the identification of biomarker panels for the diagnosis of OSCC cases with a differential diagnosis between early and late-stage cases.

Indexed as

Biomarkers, TumorFemaleHumansMaleMiddle AgedMouth NeoplasmsNeoplasm ProteinsProspective StudiesSalivaSalivary Proteins and PeptidesSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorNeoplasm ProteinsSalivary Proteins and Peptides

Identifiers

PMID33564003
PMCPMC7873065
OpenAlexW3127009162

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.