Evidence map›Paper›PMID 35892503›Full record

ArticleDiagnostics (Basel, Switzerland)2022

A Criterion of Colorectal Cancer Diagnosis Using Exosome Fluorescence-Lifetime Imaging.

Alexey V Borisov, Olga A Zakharova, Alisa A Samarinova, Natalia V Yunusova, Olga V Cheremisina, Yury V Kistenev

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

6 authors at 2 institutions in 1 country.

Alexey V BorisovLaboratory of Laser Molecular Imaging and Machine Learning, National Research Tomsk State University, 634050 Tomsk, Russia.
Olga A ZakharovaLaboratory of Laser Molecular Imaging and Machine Learning, National Research Tomsk State University, 634050 Tomsk, Russia.
Alisa A SamarinovaLaboratory of Laser Molecular Imaging and Machine Learning, National Research Tomsk State University, 634050 Tomsk, Russia.
Natalia V YunusovaLaboratory of Tumor Biochemistry, Cancer Research Institute, Tomsk National Research Medical Center RAS, 634009 Tomsk, Russia.ORCID 0000-0003-4595-4177
Olga V CheremisinaLaboratory of Tumor Biochemistry, Cancer Research Institute, Tomsk National Research Medical Center RAS, 634009 Tomsk, Russia.
Yury V KistenevLaboratory of Laser Molecular Imaging and Machine Learning, National Research Tomsk State University, 634050 Tomsk, Russia.ORCID 0000-0001-5760-1462
National Research Tomsk State University · RUTomsk National Research Medical Center · RU

Funding

the Government of the Russian Federation Agreement No. 075-15-2021-615 of 04 June 2021
6 · The paper itself

Abstract

This study was aimed to investigate the applicability of the exosome fluorescence-lifetime imaging microscopy (FLIM) for colorectal cancer (CRC) diagnosis. Differential ultra-centrifugation was used to extract exosomes from the blood plasma of 11 patients with colon polyps (CPs) and 13 patients with CRC at the T2-4, N0-3, and M0-1 stages. Analysis was performed using a two-photon FLIM device. In total, 165 and 195 FLIM images were recorded for the CP and CCR patient groups, respectively. Two classes of exosomes differentiated by autofluorescence average lifetime tm were discovered in the samples. The first class of exosomes with tm = (0.21 ± 0.06) ns was mostly found in samples from CRC patients. The second class with tm = (0.43 ± 0.19) ns was mostly found in samples from CP patients. The relative number of “CRC-associated” exosomes Nch in the FLIM dataset was shown to be very small for the CP patient group and large for the CRC patient group. This difference was statistically significant. Therefore, the suggested CRS diagnostics criterion can be as follows. If Nch > 0.5, the probability of CRC is high. If Nch < 0.3, the probability of CRC is low.

Indexed as

colorectal cancerexosomesfluorescence-lifetime imaging microscopytwo-photon exited autofluorescence

Identifiers

PMID35892503
PMCPMC9394250
OpenAlexW4287009509

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.