Evidence map›Paper›PMID 40969356›Full record

ArticleQuantitative biology (Beijing, China)2025

Unveiling roles of non-coding RNAs in cancer through advanced technologies.

Runhao Wang, Leng Han

Abstract read
In one paragraph

Article in Quantitative biology (Beijing, China), 2025. 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

2 authors.

Runhao WangBrown Center for Immunotherapy, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Leng HanBrown Center for Immunotherapy, Indiana University School of Medicine, Indianapolis, Indiana, USA.

Funding

Tumor Microenvironment and Metastasis ProgramP30CA082709 · NCI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI David W Clapp · 1999 to 2026
$59.3M
Systematic Characterization of Small Nucleolar RNAs in CancerR01CA262623 · NCI · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI HAN, LENG · 2021 to 2025
$2.0M
MolQTL: A comprehensive resource for molecular quantitative trait loci inhuman cancer.R01HG011633 · NHGRI · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI HAN, LENG · 2021 to 2025
$1.9M
NCI NIH HHS P30 CA082709NCI NIH HHS R01 CA262623NHGRI NIH HHS R01 HG011633
6 · The paper itself

Abstract

Non-coding RNAs (ncRNAs) have emerged as key regulators in tumorigenesis. In this perspective, we briefly review the significance of ncRNA in cancer biology and highlight recent technological advancements in characterization of ncRNA in cancer research. Specifically, we discuss how these advanced approaches, such as Patho-DBiT, CRISPR screens, and snoKARR-seq, hold the potential to revolutionize ncRNA research by offering comprehensive insights into their spatial expression patterns and functional roles.

Indexed as

cancerCRISPR screensncRNAsPatho-DBiTsnoKARR-seqspatial transcriptomics

Identifiers

PMID40969356
PMCPMC12442886

What OpenQuestion holds

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LicenceCC BY
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.