Evidence map›Paper›PMID 37717120›Full record

ArticleBritish journal of cancer2023

A spectroscopic liquid biopsy for the earlier detection of multiple cancer types.

James M Cameron, Alexandra Sala, Georgios Antoniou, Paul M Brennan, Holly J Butler, Justin J A Conn, Siobhan Connal, Tom Curran, Mark G Hegarty, Rose G McHardy and 4 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
16.4field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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  7. A Multiomic Liquid Biopsy for the Earlier Detection of Colorectal Cancer.Cancer prevention research (Philadelphia, Pa.) · 2026
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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

14 authors at 5 institutions in 2 countries.

James M Cameron *Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK.ORCID 0000-0002-9348-810X
Alexandra Sala *Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK.
Georgios AntoniouDxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK.
Paul M BrennanTranslational Neurosurgery, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, EH4 2XU, UK.ORCID 0000-0002-7347-830X
Holly J ButlerDxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK.
Justin J A ConnDxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK.
Siobhan ConnalDxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK.
Tom CurranChildren's Mercy Research Institute, Children's Mercy Kansas City, 2401 Gillham Rd, Kansas City, 64108, MO, USA.
Mark G HegartyDxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK.
Rose G McHardyDxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK.
Daniel OrringerDepartment of Neurosurgery, New York University Grossman School of Medicine, New York, NY, 10018, USA.
David S PalmerDxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK.
Benjamin R SmithDxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK.
Matthew J BakerDxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW, UK. matthew.baker@dxcover.com.
University of Edinburgh · GBMercy Research · USNew York University · USUniversity of Lancashire · GBUniversity of Strathclyde · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundA rapid, low-cost blood test that can be applied to reliably detect multiple different cancer types would be transformational.

methodsIn this large-scale discovery study (n = 2092 patients) we applied the Dxcover® Cancer Liquid Biopsy to examine eight different cancers. The test uses Fourier transform infrared (FTIR) spectroscopy and machine-learning algorithms to detect cancer.

resultsArea under the receiver operating characteristic curve (ROC) values were calculated for eight cancer types versus symptomatic non-cancer controls: brain (0.90), breast (0.76), colorectal (0.91), kidney (0.91), lung (0.91), ovarian (0.86), pancreatic (0.84) and prostate (0.86). We assessed the test performance when all eight cancer types were pooled to classify 'any cancer' against non-cancer patients. The cancer versus asymptomatic non-cancer classification detected 64% of Stage I cancers when specificity was 99% (overall sensitivity 57%). When tuned for higher sensitivity, this model identified 99% of Stage I cancers (with specificity 59%).

conclusionsThis spectroscopic blood test can effectively detect early-stage disease and can be fine-tuned to maximise either sensitivity or specificity depending on the requirements from different healthcare systems and cancer diagnostic pathways. This low-cost strategy could facilitate the requisite earlier diagnosis, when cancer treatment can be more effective, or less toxic. STATEMENT OF TRANSLATIONAL RELEVANCE: The earlier diagnosis of cancer is of paramount importance to improve patient survival. Current liquid biopsies are mainly focused on single tumour-derived biomarkers, which limits test sensitivity, especially for early-stage cancers that do not shed enough genetic material. This pan-omic liquid biopsy analyses the full complement of tumour and immune-derived markers present within blood derivatives and could facilitate the earlier detection of multiple cancer types. There is a low barrier to integrating this blood test into existing diagnostic pathways since the technology is rapid, simple to use, only minute sample volumes are required, and sample preparation is minimal. In addition, the spectroscopic liquid biopsy described in this study has the potential to be combined with other orthogonal tests, such as cell-free DNA, which could provide an efficient route to diagnosis. Cancer treatment can be more effective when given earlier, and this low-cost strategy has the potential to improve patient prognosis.

Indexed as

Prostatic NeoplasmsBiomarkers, TumorFemaleHumansLiquid BiopsyMaleProstateROC CurveSpectrum AnalysisBiomarkers, Tumor

Identifiers

PMID37717120
PMCPMC10645969
OpenAlexW4386806208

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.