Evidence map›Paper›PMID 39341795›Full record

ArticleGenomics, proteomics & bioinformatics2024

SCancerRNA: Expression at the Single-cell Level and Interaction Resource of Non-coding RNA Biomarkers for Cancers.

Hongzhe Guo, Liyuan Zhang, Xinran Cui, Liang Cheng, Tianyi Zhao, Yadong Wang

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In one paragraph

Article in Genomics, proteomics & bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
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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

6 authors.

Hongzhe GuoFaculty of Computing, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0001-6201-6655
Liyuan ZhangFaculty of Computing, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-6899-7738
Xinran CuiFaculty of Computing, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0003-3328-994X
Liang ChengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150001, China.ORCID 0000-0002-6665-6710
Tianyi ZhaoSchool of Medicine and Health, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0003-1913-081X
Yadong WangFaculty of Computing, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0001-6500-6217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-coding RNAs (ncRNAs) participate in multiple biological processes associated with cancers as tumor suppressors or oncogenic drivers. Due to their high stability in plasma, urine, and many other fluids, ncRNAs have the potential to serve as key biomarkers for early diagnosis and screening of cancers. During cancer progression, tumor heterogeneity plays a crucial role, and it is particularly important to understand the gene expression patterns of individual cells. With the development of single-cell RNA sequencing (scRNA-seq) technologies, uncovering gene expression in different cell types for human cancers has become feasible by profiling transcriptomes at the cellular level. However, a well-organized and comprehensive online resource that provides access to the expression of genes corresponding to ncRNA biomarkers in different cell types at the single-cell level is not available yet. Therefore, we developed the SCancerRNA database to summarize experimentally supported data on long ncRNA, microRNA, PIWI-interacting RNA, small nucleolar RNA, and circular RNA biomarkers, as well as data on their differential expression at the cellular level. Furthermore, we collected biological functions and clinical applications of biomarkers to facilitate the application of ncRNA biomarkers to cancer diagnosis, as well as the monitoring of progression and targeted therapies. SCancerRNA also allows users to explore interaction networks of different types of ncRNAs, and build computational models in the future. SCancerRNA is freely accessible at http://www.scancerrna.com/BioMarker.

Indexed as

Biomarkers, TumorNeoplasmsRNA, UntranslatedSingle-Cell AnalysisGene Expression Regulation, NeoplasticHumansBiomarkers, TumorRNA, UntranslatedBiomarkerCancerInteraction networkNon-coding RNASingle cell

Identifiers

PMID39341795
PMCPMC12016560

What OpenQuestion holds

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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.