Evidence map›Paper›PMID 33248415›Full record

ArticleTranslational oncology2021

Prostatic aspirated cellular RNA analysis enables fast diagnosis and staging of prostate cancer.

Yiwen Sang, Xuchu Wang, Pan Yu, Luyan Zhang, Yibei Dai, Lingyu Zhang, Danhua Wang, Zhenping Liu, Yao Wang, Zhihua Tao

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 75% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 1 institution in 1 country.

Yiwen SangDepartment of Laboratory Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Xuchu WangDepartment of Laboratory Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Pan YuDepartment of Laboratory Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Luyan ZhangDepartment of Laboratory Medicine, Ningbo Mingzhou Hospital, Ningbo, China.
Yibei DaiDepartment of Laboratory Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Lingyu ZhangDepartment of Laboratory Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Danhua WangDepartment of Laboratory Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Zhenping LiuDepartment of Laboratory Medicine, Yuhang Branch of the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Yao WangDepartment of Ultrasound, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China.
Zhihua TaoDepartment of Laboratory Medicine, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China. Electronic address: zrtzh@zju.edu.cn.
Second Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study is to investigate the potential application of prostatic aspirated cellular RNA analysis technique for fast diagnosing and staging prostate cancer.

methodsProstatic aspirated cells were obtained immediately after transrectal ultrasound (TRUS)-guided needle biopsy. Cellular RNA such as glyceraldehyde-3-phosphate dehydrogenase (GAPDH) mRNA, prostate specific antigen (PSA) mRNA and prostate-specific RNA (PCA3) mRNA were analyzed by using Reverse Transcription-Polymerase Chain Reaction (RT-PCR). PCA3 score was calculated as the ratio of PCA3 mRNA to PSA mRNA expression. Diagnostic performance of the fast-aspirated cellular RNA analysis technique for determining prostate cancer and metastatic status were evaluated by developing receiver operating characteristic curves (ROC), and the correlation between aspirated cellular RNA mRNA expressions and risk grouping was calculated, to investigate the underlying potential for PCa staging.

resultsPCA3 score was significantly higher in prostatic aspirated cells obtained from cancerous tissues than noncancerous tissues. The median aspirated cellular PCA3 score was higher in patients with PCa compared to BPH, and presenting an area under the ROC curve (AUC) of 0.87 (95%CI: 0.79-0.94) for PCa diagnosis. Multivariate regression analysis revealed that baseline median aspirated cellular PCA3 score (OR=9.316, 95%CI: 1.045-83.033, P<0.05) was an independent predictive factor for metastatic status in PCa patients.

conclusionThe ease of use and minimal complexity of fast prostatic aspirated cellular RNA analysis may be a valuable diagnostic technique, providing urgent diagnostic information for accurate PCa diagnosing and staging.

Indexed as

Prostate cancer;Aspirated cellular RNA analysis;Cancer diagnosis

Identifiers

PMID33248415
PMCPMC7704456
OpenAlexW3107634437

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.