Evidence map›Paper›PMID 33363156›Full record

ArticleFrontiers in cell and developmental biology2020

An Eight-CircRNA Assessment Model for Predicting Biochemical Recurrence in Prostate Cancer.

Shuo Wang, Wei Su, Chuanfan Zhong, Taowei Yang, Wenbin Chen, Guo Chen, Zezhen Liu, Kaihui Wu, Weibo Zhong, Bingkun Li and 2 more

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

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

  1. The Emerging Role of Circular RNAs in Prostate Cancer: A Systematic Review.Frontiers in cell and developmental biology · 2021
    Pooled it
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  18. CircRNA Regulation of T Cells in Cancer: Unraveling Potential Targets.International journal of molecular sciences · 2024
    Review
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  20. Article

17 more citing papers are in PubMed but not listed here.

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

12 authors.

Shuo WangDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Wei SuDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Chuanfan ZhongDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Taowei YangDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Wenbin ChenDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Guo ChenDepartment of Urology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Zezhen LiuGuangdong Key Laboratory of Urology, Department of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Urology Research Institute, Guangzhou, China.
Kaihui WuDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Weibo ZhongDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Bingkun LiDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Xiangming MaoDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Jianming LuDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is a high morbidity malignancy in males, and biochemical recurrence (BCR) may appear after the surgery. Our study is designed to build up a risk score model using circular RNA sequencing data for PCa. The dataset is from the GEO database, using a cohort of 144 patients in Canada. We removed the low abundance circRNAs (FPKM < 1) and obtained 546 circRNAs for the next step. BCR-related circRNAs were selected by Logistic regression using the "survival" and "survminer" R package. Least absolute shrinkage and selector operation (LASSO) regression with 10-fold cross-validation and penalty was used to construct a risk score model by "glmnet" R software package. In total, eight circRNAs (including circ_30029, circ_117300, circ_176436, circ_112897, circ_112897, circ_178252, circ_115617, circ_14736, and circ_17720) were involved in our risk score model. Further, we employed differentially expressed mRNAs between high and low risk score groups. The following Gene Ontology (GO) analysis were visualized by Omicshare Online tools. As per the GO analysis results, tumor immune microenvironment related pathways are significantly enriched. "CIBERSORT" and "ESTIMATE" R package were used to detect tumor-infiltrating immune cells and compare the level of microenvironment scores between high and low risk score groups. What's more, we verified two of eight circRNA's (circ_14736 and circ_17720) circular characteristics and tested their biological function with qPCR and CCK8

Indexed as

biochemical recurrencecircRNAimmune infiltrationLASSOprostate cancer

Identifiers

PMID33363156
PMCPMC7758402

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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.