Evidence map›Paper›PMID 39777350›Full record

ArticleFrontiers in oncology2024

Panel containing three serum microRNAs: a promising biomarker for early detection of bladder cancer.

Zhenjian Ge, Shengjie Lin, Chong Lu, Yong Xia, Rongkang Li, Xinji Li, Chen Sun, Zhenyu Wen, Wenkang Chen, Yingqi Li and 6 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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.

Zhenjian Ge *Department of Urology, Peking University Shenzhen Hospital, Shenzhen, China.
Shengjie Lin *Department of Urology, Peking University Shenzhen Hospital, Shenzhen, China.
Chong Lu *Department of Urology, Peking University Shenzhen Hospital, Shenzhen, China.
Yong XiaDepartment of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China.
Rongkang LiDepartment of Urology, Peking University Shenzhen Hospital, Shenzhen, China.
Xinji LiDepartment of Urology, Peking University Shenzhen Hospital, Shenzhen, China.
Chen SunDepartment of Urology, Peking University Shenzhen Hospital, Shenzhen, China.
Zhenyu WenDepartment of Urology, Peking University Shenzhen Hospital, Shenzhen, China.
Wenkang ChenDepartment of Urology, Peking University Shenzhen Hospital, Shenzhen, China.
Yingqi LiDepartment of Urology, Peking University Shenzhen Hospital, Shenzhen, China.
Mingyang LiDepartment of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China.
Yu LinDepartment of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China.
Jing DongDepartment of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China.
Lingzhi TaoDepartment of Urology, Peking University Shenzhen Hospital, Shenzhen, China.
Ling JiDepartment of Laboratory Medicine, Peking University Shenzhen Hospital, Shenzhen, China.
Yongqing LaiDepartment of Urology, Peking University Shenzhen Hospital, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder cancer (BC) is a common tumor worldwide. Screening for BC currently lacks a highly efficient, non-invasive, and inexpensive method. Serum microRNA (miRNA), which is stable and commonly present, has the potential to serve as a novel marker for BC diagnosis. Materials & methods: Based on a study involving 112 BC patients and 112 healthy subjects, we conducted this research in three phases to identify applicable microRNAs (miRNAs) in serum for BC diagnosis using quantitative reverse transcription polymerase chain reaction (qRT-PCR). A panel with optimal diagnostic value was developed. Additionally, we used bioinformatic analysis to explore the potential biological functions of the crucial miRNAs. Results: The diagnostic panel consisted of miR-212-3p, miR-30c-5p, and miR-206, with an area under the curve (AUC) of 0.838, sensitivity of 83.33%, and specificity of 73.81%. Furthermore, ATF3, GJA1, JPH2, MVB12B, RUNX1T1, SLC8A1, SPATA6, and TPM3 may be potential target genes of these three miRNAs. Conclusion: We developed a three-miRNA panel that could serve as a highly efficient and inexpensive biomarker for BC diagnosis and screening.

Indexed as

biomarkerbladder cancermicroRNAmiR-206MiR-212-3pmiR-30c-5p

Identifiers

PMID39777350
PMCPMC11703750

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