Evidence map›Paper›PMID 39797940›Full record

ReviewMolecular biology reports2025

CRISPR detection of cardiac tumor-associated microRNAs.

Youlin Fu, Peng Zhang, Feng Chen, Ziqiang Xie, Shihui Xiao, Zhihao Huang, Cia-Hin Lau, Haibao Zhu, Jun Luo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Youlin Fu *Department of Cardiology, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Peng Zhang *Department of Cardiology, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Feng ChenDepartment of Cardiology, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Ziqiang XieDepartment of Cardiology, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Shihui XiaoDepartment of Cardiology, Ganzhou People's Hospital, Ganzhou, Jiangxi, China.
Zhihao HuangDepartment of Biology, College of Science, Shantou University, Shantou, 515063, Guangdong, China.
Cia-Hin LauDepartment of Biology, College of Science, Shantou University, Shantou, 515063, Guangdong, China.ORCID https://orcid.org/0000-0002-4528-0363
Haibao ZhuDepartment of Biology, College of Science, Shantou University, Shantou, 515063, Guangdong, China.ORCID https://orcid.org/0009-0005-1982-678X
Jun LuoDepartment of Cardiology, Ganzhou People's Hospital, Ganzhou, Jiangxi, China. luojun1966@163.com.ORCID https://orcid.org/0000-0003-3339-5566

Funding

Jiangxi Provincial Natural Science Foundation 20212ACB206031National Natural Science Foundation of China 82260053
6 · The paper itself

Abstract

As multiple imaging modalities cannot reliably diagnose cardiac tumors, the molecular approach offers alternative ways to detect rare ones. One such molecular approach is CRISPR-based diagnostics (CRISPR-Dx). CRISPR-Dx enables visual readout, portable diagnostics, and rapid and multiplex detection of nucleic acids such as microRNA (miRNA). Dysregulation of miRNA expressions has been associated with cardiac tumors such as atrial myxoma and angiosarcoma. Diverse CRISPR-Dx systems have been developed to detect miRNA in recent years. These CRISPR-Dx systems are generally classified into four classes, depending on the Cas proteins used (Cas9, Cas12, Cas13, or Cas12f). CRISPR/Cas systems are integrated with various isothermal amplifications to detect low-abundance miRNAs. Amplification-free CRISPR-Dx systems have also been recently developed to detect miRNA directly. Herein, we critically discuss the advances, pitfalls, and future perspectives for these CRISPR-Dx systems in detecting miRNA, focusing on the diagnosis and prognosis of cardiac tumors.

Indexed as

CRISPR-Cas SystemsHeart NeoplasmsMicroRNAsBiomarkers, TumorHemangiosarcomaHumansMyxomaBiomarkers, TumorMicroRNAsCardiac cancerCardiac tumorCRISPRHeart cancermicroRNAPOCT

Identifiers

What OpenQuestion holds

Textmetadata
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.