Evidence map›Paper›PMID 36323734›Full record

ArticleScientific reports2022

Detection of rare prostate cancer cells in human urine offers prospect of non-invasive diagnosis.

Nima Sayyadi, Irene Justiniano, Yan Wang, Xianlin Zheng, Wei Zhang, Lianmei Jiang, Dmitry M Polikarpov, Robert D Willows, David Gillatt, Douglas Campbell and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

16 authors at 2 institutions in 2 countries.

Nima SayyadiSchool of Natural Sciences, Macquarie University, Sydney, Australia.
Irene JustinianoSchool of Natural Sciences, Macquarie University, Sydney, Australia.
Yan WangARC Centre of Excellence for Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, Australia.
Xianlin ZhengARC Centre of Excellence for Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, Australia.
Wei ZhangSchool of Natural Sciences, Macquarie University, Sydney, Australia.
Lianmei JiangSchool of Natural Sciences, Macquarie University, Sydney, Australia.
Dmitry M PolikarpovARC Centre of Excellence for Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, Australia.
Robert D WillowsSchool of Natural Sciences, Macquarie University, Sydney, Australia.
David GillattFaculty of Medicine and Health Sciences, Macquarie University, Sydney, Australia.
Douglas CampbellMinomic International Ltd, Macquarie Park, Sydney, Australia.
Bradley J WalshMinomic International Ltd, Macquarie Park, Sydney, Australia.
Jingli YuanState Key Laboratory of Fine Chemicals, School of Chemistry, Dalian University of Technology, Dalian, China.
Yiqing LuARC Centre of Excellence for Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, Australia.
Nicolle H PackerSchool of Natural Sciences, Macquarie University, Sydney, Australia. nicki.packer@mq.edu.au.
Yuling WangSchool of Natural Sciences, Macquarie University, Sydney, Australia. yuling.wang@mq.edu.au.
James A PiperARC Centre of Excellence for Nanoscale Biophotonics (CNBP), Macquarie University, Sydney, Australia.
Macquarie University · AUDalian University · CN

Funding

ARC Linkage LP130100517Australian Research Council through ARC Centre of Excellence for Nanoscale BioPhotonics CE140100003
6 · The paper itself

Abstract

Two molecular cytology approaches, (i) time-gated immunoluminescence assay (TGiA) and (ii) Raman-active immunolabeling assay (RiA), have been developed to detect prostate cancer (PCa) cells in urine from five prostate cancer patients. For TGiA, PCa cells stained by a biocompatible europium chelate antibody-conjugated probe were quantitated by automated time-gated microscopy (OSAM). For RiA, PCa cells labeled by antibody-conjugated Raman probe were detected by Raman spectrometer. TGiA and RiA were first optimized by the detection of PCa cultured cells (DU145) spiked into control urine, with TGiA-OSAM showing single-cell PCa detection sensitivity, while RiA had a limit of detection of 4-10 cells/mL. Blinded analysis of each patient urine sample, using MIL-38 antibody specific for PCa cells, was performed using both assays in parallel with control urine. Both assays detected very low abundance PCa cells in patient urine (3-20 PCa cells per mL by TGiA, 4-13 cells/mL by RiA). The normalized mean of the detected PCa cells per 1 ml of urine was plotted against the clinical data including prostate specific antigen (PSA) level and Clinical Risk Assessment for each patient. Both cell detection assays showed correlation with PSA in the high risk patients but aligned with the Clinical Assessment rather than with PSA levels of the low/intermediate risk patients. Despite the limited available urine samples of PCa patients, the data presented in this proof-of-principle work is promising for the development of highly sensitive diagnostic urine tests for PCa.

Indexed as

Prostate-Specific AntigenProstatic NeoplasmsBiomarkers, TumorHumansMalePelvisProstateBiomarkers, TumorProstate-Specific Antigen

Identifiers

PMID36323734
PMCPMC9630382
OpenAlexW4308148969

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.