Evidence map›Paper›PMID 40383740›Full record

ArticleBritish journal of cancer2025

Infrared and Raman spectroscopy of blood plasma for rapid endometrial cancer detection.

Roberta Schiemer, Jessica Grant, Mohamad N Shafiee, Sendy Phang, David Furniss, Radu Boitor, Angela B Seddon, Ioan Notingher, William Atiomo, Nia W Jones and 1 more

Abstract read
In one paragraph

Article in British journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. 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

11 authors.

Roberta SchiemerDivision of Child Health, Obstetrics and Gynaecology, University of Nottingham, Nottingham, UK. roberta.schiemer@nottingham.ac.uk.ORCID http://orcid.org/0000-0003-3577-9918
Jessica GrantMid-Infrared Photonics Group, George Green Institute for Electromagnetics Research, Faculty of Engineering, University of Nottingham, Nottingham, UK.
Mohamad N ShafieeDepartment of Obstetrics and Gynaecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Kuala Lumpur, Malaysia.
Sendy PhangMid-Infrared Photonics Group, George Green Institute for Electromagnetics Research, Faculty of Engineering, University of Nottingham, Nottingham, UK.
David FurnissMid-Infrared Photonics Group, George Green Institute for Electromagnetics Research, Faculty of Engineering, University of Nottingham, Nottingham, UK.
Radu BoitorSchool of Physics and Astronomy, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0002-2559-4779
Angela B SeddonMid-Infrared Photonics Group, George Green Institute for Electromagnetics Research, Faculty of Engineering, University of Nottingham, Nottingham, UK.
Ioan NotingherSchool of Physics and Astronomy, University of Nottingham, Nottingham, UK.
William AtiomoCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), Dubai, United Arab Emirates.
Nia W JonesDivision of Lifespan and Population Health, University of Nottingham, Nottingham, UK.
Ketankumar B GajjarDivision of Child Health, Obstetrics and Gynaecology, University of Nottingham, Nottingham, UK. ketankumar.gajjar@nuh.nhs.uk.

Funding

RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/L025620/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/W524402/1
6 · The paper itself

Abstract

backgroundEndometrial cancer (EC) is the 6th most common cancer among women worldwide. No effective non-invasive screening methods or approved blood biomarkers for EC exist. Previous research explored Attenuated Total Reflection-Fourier Transform Infrared (ATR-FtIR) and Raman spectroscopies, using dried blood plasma. Fresh, 'wet', blood samples, that might provide faster results, have not been investigated. This study compared ATR-FtIR and Raman spectroscopies on 'wet' and dry blood plasma samples for EC detection. It also conducted a preliminary exploration into their diagnostic potential for EC in high-risk individuals with polycystic ovary syndrome (PCOS).

methods'Wet' and dry blood plasma samples from participants with EC, PCOS and healthy controls were analysed using ATR-FtIR and Raman spectroscopies. Machine learning algorithms and multivariate statistical analyses assessed spectral variance across datasets to evaluate the techniques' diagnostic performance.

resultsRaman analysis of 'wet' plasma achieved 82% accuracy in detecting EC, while ATR-FtIR spectroscopy reached 78%. When combined, diagnostic accuracy reached 86%. In comparison, dry plasma analysis with ATR-FtIR detected EC with 83% accuracy. Spectral similarities were found between EC and PCOS.

conclusionsOur study suggests that ATR-FtIR and Raman spectroscopies could revolutionise early diagnosis of EC. More research is required to validate these promising findings.

Indexed as

Biomarkers, TumorEndometrial NeoplasmsPlasmaSpectrum Analysis, RamanAdultCase-Control StudiesEarly Detection of CancerFemaleHumansMiddle AgedPolycystic Ovary SyndromeSpectroscopy, Fourier Transform InfraredBiomarkers, Tumor

Identifiers

PMID40383740
PMCPMC12304263

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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.