Evidence map›Paper›PMID 37616300›Full record

ArticlePloS one2023

Fourier Transform Infrared microspectroscopy identifies single cancer cells in blood. A feasibility study towards liquid biopsy.

Lewis M Dowling, Paul Roach, Eirik A Magnussen, Achim Kohler, Srinivas Pillai, Daniel G van Pittius, Ibraheem Yousef, Josep Sulé-Suso

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 5 institutions in 3 countries.

Lewis M DowlingSchool of Pharmacy and Bioengineering, Guy Hilton Research Centre, Keele University, Stoke-on-Trent, United Kingdom.
Paul RoachDepartment of Chemistry, Loughborough University, Loughborough, Leicestershire, United Kingdom.ORCID 0000-0003-4135-9733
Eirik A MagnussenFaculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.
Achim KohlerFaculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.
Srinivas PillaiHaematology Department, Royal Stoke University Hospital, University Hospitals of North Midlands (UHNM), Stoke-on-Trent, United Kingdom.
Daniel G van PittiusHistopathology Department, Royal Stoke University Hospital, University Hospitals of North Midlands (UHNM), Stoke-on-Trent, United Kingdom.
Ibraheem YousefALBA Synchrotron Light Source, Cerdanyola del Vallès, Barcelona, Catalonia, Spain.
Josep Sulé-SusoSchool of Pharmacy and Bioengineering, Guy Hilton Research Centre, Keele University, Stoke-on-Trent, United Kingdom.ORCID 0000-0003-0598-737X
Royal Stoke University Hospital · GBNorwegian University of Life Sciences · NOALBA Synchrotron (Spain) · ESKeele University · GBLoughborough University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of cancer patients has markedly improved with the advent of personalised medicine where treatments are given based on tumour antigen expression amongst other. Within this remit, liquid biopsies will no doubt improve this personalised cancer management. Identifying circulating tumour cells in blood allows a better assessment for tumour screening, staging, response to treatment and follow up. However, methods to identify/capture these circulating tumour cells using cancer cells' antigen expression or their physical properties are not robust enough. Thus, a methodology that can identify these circulating tumour cells in blood regardless of the type of tumour is highly needed. Fourier Transform Infrared (FTIR) microspectroscopy, which can separate cells based on their biochemical composition, could be such technique. In this feasibility study, we studied lung cancer cells (squamous cell carcinoma and adenocarcinoma) mixed with peripheral blood mononuclear cells (PBMC). The data obtained shows, for the first time, that FTIR microspectroscopy together with Random Forest classifier is able to identify a single lung cancer cell in blood. This separation was easier when the region of the IR spectra containing lipids and the amide A (2700 to 3500 cm-1) was used. Furthermore, this work was carried out using glass coverslips as substrates that are widely used in pathology departments. This allows further histopathological cell analysis (staining, immunohistochemistry, …) after FTIR spectra are obtained. Hence, although further work is needed using blood samples from patients with cancer, FTIR microspectroscopy could become another tool to be used in liquid biopsies for the identification of circulating tumour cells, and in the personalised management of cancer.

Indexed as

Lung NeoplasmsNeoplastic Cells, CirculatingFeasibility StudiesFourier AnalysisHumansLeukocytes, MononuclearLiquid Biopsy

Identifiers

PMID37616300
PMCPMC10449207
OpenAlexW4386127679

What OpenQuestion holds

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LicenceCC BY
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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.