Evidence map›Paper›PMID 35327656›Full record

ArticleBiomolecules2022

Transcriptomic Biomarker Signatures for Discrimination of Oral Cancer Surgical Margins.

Simon A Fox, Michael Vacher, Camile S Farah

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Simon A FoxAustralian Centre for Oral Oncology Research & Education, P.O. Box 285, Nedlands, WA 6909, Australia.ORCID 0000-0003-2042-1809
Michael VacherAustralian eHealth Research Centre, The Commonwealth Scientific & Industrial Research Organisation, Floreat, WA 6104, Australia.
Camile S FarahAustralian Centre for Oral Oncology Research & Education, P.O. Box 285, Nedlands, WA 6909, Australia.ORCID 0000-0002-1642-6204
Commonwealth Scientific and Industrial Research Organisation · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relapse after surgery for oral squamous cell carcinoma (OSCC) contributes significantly to morbidity, mortality and poor outcomes. The current histopathological diagnostic techniques are insufficiently sensitive for the detection of oral cancer and minimal residual disease in surgical margins. We used whole-transcriptome gene expression and small noncoding RNA profiles from tumour, close margin and distant margin biopsies from 18 patients undergoing surgical resection for OSCC. By applying multivariate regression algorithms (sPLS-DA) suitable for higher dimension data, we objectively identified biomarker signatures for tumour and marginal tissue zones. We were able to define molecular signatures that discriminated tumours from the marginal zones and between the close and distant margins. These signatures included genes not previously associated with OSCC, such as

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsMouth NeoplasmsBiomarkersCalcium-Binding ProteinsHumansMargins of ExcisionSquamous Cell Carcinoma of Head and NeckTranscriptomeBiomarkersCalcium-Binding ProteinsWDR66 protein, humangene biomarker signaturegene expression profilingmultivariate statisticsoral squamous cell carcinomasurgical margins

Identifiers

PMID35327656
PMCPMC8946245
OpenAlexW4221064961

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.