Evidence map›Paper›PMID 34771706›Full record

ArticleCancers2021

Selective Microfluidic Capture and Detection of Prostate Cancer Cells from Urine without Digital Rectal Examination.

Kit Man Chan, Jonathan M Gleadle, Philip A Gregory, Caroline A Phillips, Hanieh Safizadeh Shirazi, Amelia Whiteley, Jordan Li, Krasimir Vasilev, Melanie MacGregor

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Prostate cancer detection: a systematic review of urinary biosensors.Prostate cancer and prostatic diseases · 2022
    Pooled it
  2. Review
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  4. Review
  5. Article
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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

9 authors.

Kit Man ChanFuture Industries Institute, UniSA STEM, University of South Australia, Adelaide, SA 5095, Australia.ORCID 0000-0001-8472-8514
Jonathan M GleadleDepartment of Renal Medicine, Flinders Medical Centre, Bedford Park, SA 5042, Australia.
Philip A GregoryCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA 5000, Australia.
Caroline A PhillipsCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA 5000, Australia.ORCID 0000-0002-4471-9768
Hanieh Safizadeh ShiraziFuture Industries Institute, UniSA STEM, University of South Australia, Adelaide, SA 5095, Australia.
Amelia WhiteleyEcole Nationale Superieure de Chimie, Bordeaux INP, 33607 Pessac, France.
Jordan LiDepartment of Renal Medicine, Flinders Medical Centre, Bedford Park, SA 5042, Australia.
Krasimir VasilevFuture Industries Institute, UniSA STEM, University of South Australia, Adelaide, SA 5095, Australia.ORCID 0000-0003-3534-4754
Melanie MacGregorFuture Industries Institute, UniSA STEM, University of South Australia, Adelaide, SA 5095, Australia.ORCID 0000-0002-8671-181X

Funding

Australian Government Commonwealth CRCAustralian Research Council DP180101254Australian Research Council FT200100301University College London Santos Fellowship
6 · The paper itself

Abstract

Urine-based biomarkers have shown suitable diagnostic potential for prostate cancer (PCa) detection. Yet, until now, prostatic massage remains required prior to urine sampling. Here, we test a potential diagnostic approach using voided urine collected without prior digital rectal examination (DRE). In this study, we evaluated the diagnostic performance of a microfluidic-based platform that combines the principle of photodynamic diagnostic with immunocapture for the detection of PCa cells. The functionality and sensitivity of this platform were validated using both cultured cells and PCa patient urine samples. Quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) demonstrated this platform had a detection limit of fewer than 10 cells per 60 µL and successfully validated the presence of a PCa biomarker in the urine of cancer patients without prior DRE. This biosensing platform exhibits a sensitivity of 72.4% and a specificity of 71.4%, in suitable agreement with qRT-PCR data. The results of this study constitute a stepping stone in the future development of noninvasive prostate cancer diagnostic technologies that do not require DRE.

Indexed as

biosensorscancer detectionhexaminolevulinic acidmicrofluidicnanotechnologiesphotodynamic diagnosisprostate cancerPSMAurine

Identifiers

PMID34771706
PMCPMC8583121

What OpenQuestion holds

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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.