Evidence map›Paper›PMID 33232539›Full record

ArticleCancer science2021

Multigene model for predicting metastatic prostate cancer using circulating tumor cells by microfluidic magnetophoresis.

Hyungseok Cho, Jae Il Chung, Jinho Kim, Won Ik Seo, Chan Ho Lee, Todd M Morgan, Seok-Soo Byun, Jae-Seung Chung, Ki-Ho Han

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 30% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Hyungseok ChoDepartment of Nanoscience and Engineering Center for Nano Manufacturing, Inje University, Gimhae, South Korea.
Jae Il ChungDepartment of Urology, Busan Paik Hospital, Inje University, Gimhae, South Korea.
Jinho KimDepartment of Nanoscience and Engineering Center for Nano Manufacturing, Inje University, Gimhae, South Korea.
Won Ik SeoDepartment of Urology, Busan Paik Hospital, Inje University, Gimhae, South Korea.
Chan Ho LeeDepartment of Urology, Busan Paik Hospital, Inje University, Gimhae, South Korea.
Todd M MorganDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Seok-Soo ByunDepartment of Urology, Seoul National University Bundang Hospital, Seongnamߚsi, South Korea.
Jae-Seung ChungDepartment of Urology, Haeundae Paik Hospital, Inje University, Busan, South Korea.ORCID https://orcid.org/0000-0001-9672-2216
Ki-Ho HanDepartment of Nanoscience and Engineering Center for Nano Manufacturing, Inje University, Gimhae, South Korea.
Inje University · KRUniversity of Michigan · USInje University Haeundae Paik Hospital · KRSeoul National University Bundang Hospital · KR

Funding

National Research Foundation of Korea NRF-2018R1C1B6004574National Research Foundation of Korea NRF-2019R1A2B5B01070170
6 · The paper itself

Abstract

We aimed to isolate circulating tumor cells (CTCs) using a microfluidic technique with a novel lateral magnetophoretic microseparator. Prostate cancer-specific gene expressions were evaluated using mRNA from the isolated CTCs. A CTC-based multigene model was then developed for identifying advanced prostate cancer. Peripheral blood samples were obtained from five healthy donors and patients with localized prostate cancer (26 cases), metastatic hormone-sensitive prostate cancer (mHSPC, 10 cases), and metastatic castration-resistant prostate cancer (mCRPC, 28 cases). CTC recovery rate and purity (enriched CTCs/total cells) were evaluated according to cancer stage. The areas under the curves of the six gene expressions were used to evaluate whether multigene models could identify mHSPC or mCRPC. The number of CTCs and their purity increased at more advanced cancer stages. In mHSPC/mCRPC cases, the specimens had an average of 27.5 CTCs/mL blood, which was 4.2 × higher than the isolation rate for localized disease. The CTC purity increased from 2.1% for localized disease to 3.8% for mHSPC and 6.7% for mCRPC, with increased CTC expression of the genes encoding prostate-specific antigen (PSA), prostate-specific membrane antigen (PSMA), and cytokeratin 19 (KRT19). All disease stages exhibited expression of the genes encoding androgen receptor (AR) and epithelial cell adhesion molecule (EpCAM), although expression of the AR-V7 variant was relatively rare. Relative to each gene alone, the multigene model had better accuracy for predicting advanced prostate cancer. Our lateral magnetophoretic microseparator can be used for identifying prostate cancer biomarkers. In addition, CTC-based genetic signatures may guide the early diagnosis of advanced prostate cancer.

Indexed as

AgedAged, 80 and overBiomarkers, TumorGene Expression ProfilingHumansImmunomagnetic SeparationMaleMicrofluidic Analytical TechniquesMiddle AgedNeoplastic Cells, CirculatingProstatic NeoplasmsTranscriptomeBiomarkers, Tumorcirculating tumor cellsgenetic signaturemagnetophoresisprognosticationprostate cancer

Identifiers

PMID33232539
PMCPMC7893993
OpenAlexW3107431244

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.