Evidence map›Paper›PMID 35343093›Full record

ArticleCancer medicine2022

The role of microvesicles as biomarkers in the screening of colorectal neoplasm.

Mohammad M R Eddama, Rijan Gurung, Konstantinos Fragkos, Paula Lorgelly, Richard Cohen, Marilena Loizidou, Lucie Clapp

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. 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

7 authors at 3 institutions in 1 country.

Mohammad M R EddamaResearch Department of Surgical Biotechnology, Division of Surgery and Interventional Science, University College London, London, UK.ORCID 0000-0002-4582-0788
Rijan GurungResearch Department of Surgical Biotechnology, Division of Surgery and Interventional Science, University College London, London, UK.
Konstantinos FragkosDepartment of Gastroenterology, University College London Hospital, London, UK.
Paula LorgellyDepartment of Applied Health Research, Institute of Epidemiology and Health, University College London, London, UK.
Richard CohenResearch Department of Surgical Biotechnology, Division of Surgery and Interventional Science, University College London, London, UK.
Marilena LoizidouResearch Department of Surgical Biotechnology, Division of Surgery and Interventional Science, University College London, London, UK.
Lucie ClappInstitute of Cardiovascular Sciences, University College London, London, UK.
University College Hospital · GBUniversity College London · GBNational Institute for Health Research · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is the second cause of cancer death worldwide. The role of circulating microvesicles as a screening tool is a novel, yet effective approach that warrants prioritised research.

methodsIn a two-gate diagnostic accuracy study, 35 patients with benign colorectal polyps (BCRP) (n = 16) and colorectal cancer (CRC) (n = 19) were compared to 17 age-matched healthy controls. Total annexin-V positive microvesicles and sub-populations positive for selected biomarkers relevant to bowel neoplasm were evaluated in patients' plasma using flow cytometry. Statistical methods including factor analysis utilising two component factors were performed to obtain optimal diagnostic accuracy of microvesicles in identifying patients with colorectal neoplasms.

resultsTotal plasma microvesicles, and sub-populations positive for CD31, CD42a, CD31+/CD42a-, EPHB2, ICAM and LGR5 (component factor-1) were able to identify patients with BCRP and CRC with a receiver operator curve (AUC) accuracy of a 100% (95% CI: 100%-100%) and 95% (95% CI: 88%-100%), respectively. To identify patients with BCRP, a cut-off point value of component factor-1761 microvesicles/μl demonstrated a 100% sensitivity, specificity and negative predictive value (NPV) and a 93% positive predictive value (PPV). To identify patients with CRC, a cut-off value of component factor-1

conclusionsMicrovesicles as biomarkers for the early and accurate detection of CRC is a simple and effective tool that yields a potential breakthrough in clinical management.

Indexed as

Colorectal NeoplasmsNeoplasm ProteinsATP Binding Cassette Transporter, Subfamily G, Member 2BiomarkersBiomarkers, TumorHumansMass ScreeningATP Binding Cassette Transporter, Subfamily G, Member 2BiomarkersBiomarkers, TumorNeoplasm Proteinsbenign colorectal polypsbowel screeningcolorectal cancermicrovesicles

Identifiers

PMID35343093
PMCPMC9359869
OpenAlexW4221076367

What Socratic 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 Socratic graph.