Evidence map›Paper›PMID 34359751›Full record

ArticleCancers2021

Rapid Spectroscopic Liquid Biopsy for the Universal Detection of Brain Tumours.

Ashton G Theakstone, Paul M Brennan, Michael D Jenkinson, Samantha J Mills, Khaja Syed, Christopher Rinaldi, Yun Xu, Royston Goodacre, Holly J Butler, David S Palmer and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Liquid biopsies: the future of cancer early detection.Journal of translational medicine · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Review
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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

12 authors at 3 institutions in 1 country.

Ashton G TheakstoneTechnology and Innovation Centre, Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1RD, UK.ORCID 0000-0001-8754-5094
Paul M BrennanTranslational Neurosurgery, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.ORCID 0000-0002-7347-830X
Michael D JenkinsonThe Walton Centre NHS Foundation Trust, Lower Lane, Liverpool L9 7LJ, UK.
Samantha J MillsThe Walton Centre NHS Foundation Trust, Lower Lane, Liverpool L9 7LJ, UK.
Khaja SyedThe Walton Centre NHS Foundation Trust, Lower Lane, Liverpool L9 7LJ, UK.
Christopher RinaldiTechnology and Innovation Centre, Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1RD, UK.
Yun XuDepartment of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.ORCID 0000-0003-3228-5111
Royston GoodacreDepartment of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.ORCID 0000-0003-2230-645X
Holly J ButlerDxcover Limited, 204 George Street, Glasgow G1 1XW, UK.
David S PalmerDxcover Limited, 204 George Street, Glasgow G1 1XW, UK.ORCID 0000-0003-4356-9144
Benjamin R SmithDxcover Limited, 204 George Street, Glasgow G1 1XW, UK.
Matthew J BakerDxcover Limited, 204 George Street, Glasgow G1 1XW, UK.
University of Liverpool · GBUniversity of Strathclyde · GBUniversity of Edinburgh · GB

Funding

Cancer Research UK A28345
6 · The paper itself

Abstract

backgroundTo support the early detection and diagnosis of brain tumours we have developed a rapid, cost-effective and easy to use spectroscopic liquid biopsy based on the absorbance of infrared radiation. We have previously reported highly sensitive results of our approach which can discriminate patients with a recent brain tumour diagnosis and asymptomatic controls. Other liquid biopsy approaches (e.g., based on tumour genetic material) report a lower classification accuracy for early-stage tumours. In this manuscript we present an investigation into the link between brain tumour volume and liquid biopsy test performance.

methodsIn a cohort of 177 patients (90 patients with high-grade glioma (glioblastoma (GBM) or anaplastic astrocytoma), or low-grade glioma (astrocytoma, oligoastrocytoma and oligodendroglioma)) tumour volumes were calculated from magnetic resonance imaging (MRI) investigations and patients were split into two groups depending on MRI parameters (T1 with contrast enhancement or T2/FLAIR (fluid-attenuated inversion recovery)). Using attenuated total reflection (ATR)-Fourier transform infrared (FTIR) spectroscopy coupled with supervised learning methods and machine learning algorithms, 90 tumour patients were stratified against 87 control patients who displayed no symptomatic indications of cancer, and were classified as either glioma or non-glioma.

resultsSensitivities, specificities and balanced accuracies were all greater than 88%, the area under the curve (AUC) was 0.98, and cancer patients with tumour volumes as small as 0.2 cm

conclusionsOur spectroscopic liquid biopsy approach can identify gliomas that are both small and low-grade showing great promise for deployment of this technique for early detection and diagnosis.

Indexed as

chemometricsclinical translationearly detectiongliomavibrational spectroscopy

Identifiers

PMID34359751
PMCPMC8345395
OpenAlexW3191827026

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.