Evidence map›Paper›PMID 38468595›Full record

ArticleCancer medicine2024

Prediction of prognosis in oral squamous cell carcinoma using infrared microspectroscopy.

Conor A Whitley, Barnaby G Ellis, Asterios Triantafyllou, Philip J Gunning, Peter Gardner, Steve D Barrett, Richard J Shaw, Caroline I Smith, Peter Weightman, Janet M Risk

Abstract read
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In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Conor A WhitleyDepartment of Physics, University of Liverpool, Liverpool, UK.
Barnaby G EllisDepartment of Physics, University of Liverpool, Liverpool, UK.
Asterios TriantafyllouDepartment of Pathology, Liverpool Clinical Laboratories, University of Liverpool, Liverpool, UK.
Philip J GunningDepartment of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Peter GardnerDepartment of Chemical Engineering, The University of Manchester, Manchester, UK.
Steve D BarrettDepartment of Physics, University of Liverpool, Liverpool, UK.
Richard J ShawDepartment of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Caroline I SmithDepartment of Physics, University of Liverpool, Liverpool, UK.
Peter WeightmanDepartment of Physics, University of Liverpool, Liverpool, UK.
Janet M RiskDepartment of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.ORCID 0000-0002-8770-7783

Funding

Cancer Research UK 26196Cancer Research UK C7738/A26196
6 · The paper itself

Abstract

backgroundEstimation of prognosis of oral squamous cell carcinoma (OSCC) is inaccurate prior to surgery, only being effected following subsequent pathological analysis of the primary tumour and excised lymph nodes. Consequently, a proportion of patients are overtreated, with an increase in morbidity, or undertreated, with inadequate margins and risk of recurrence. We hypothesise that it is possible to accurately characterise clinical outcomes from infrared spectra arising from diagnostic biopsies. In this first step, we correlate survival with IR spectra derived from the primary tumour.

methodsInfrared spectra were collected from tumour tissue from 29 patients with OSCC and subject to classification modelling.

resultsThe model had a median AUROC of 0.89 with regard to prognosis, a median specificity of 0.83, and a hazard ratio of 6.29 in univariate Cox proportional hazard modelling.

conclusionThe data suggest that FTIR spectra may be a useful early biomarker of prognosis in OSCC.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsMouth NeoplasmsHumansPrognosisSquamous Cell Carcinoma of Head and NeckbiomarkerFTIRinfrared microspectroscopyOSCCprognosis

Identifiers

PMID38468595
PMCPMC10928453

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