Evidence map›Paper›PMID 42650778›Full record

ReviewBiomolecules2026

Beyond Junk DNA: Emerging Roles of Non-Coding RNAs in Cancer and Therapeutic Innovation.

Li Qiu, Zenan Xu, Jianxiong Xu, Zhiming Lv, Wenfang Li

Abstract readReview
In one paragraph

Review in Biomolecules, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Li QiuSchool of Pharmaceutical Sciences & Institute of Materia Medica, Xinjiang University, Urumqi 830017, China.
Zenan XuSchool of Pharmaceutical Sciences & Institute of Materia Medica, Xinjiang University, Urumqi 830017, China.ORCID 0009-0001-4806-8261
Jianxiong XuSchool of Pharmaceutical Sciences & Institute of Materia Medica, Xinjiang University, Urumqi 830017, China.ORCID 0009-0002-7572-2991
Zhiming LvSchool of Pharmaceutical Sciences & Institute of Materia Medica, Xinjiang University, Urumqi 830017, China.
Wenfang LiSchool of Pharmaceutical Sciences & Institute of Materia Medica, Xinjiang University, Urumqi 830017, China.ORCID 0000-0003-0436-4277

Funding

Bengbu Medical College bsqd202543he fifth affiliated hospital of xinjiang medical university XYDWFY-ZR-202409Natural Science Foundation of Xinjiang Uygur Autonomous Region 2025D01C56
6 · The paper itself

Abstract

Non-coding RNAs (ncRNAs) are the biggest class of regulatory molecules in the human genome, which constitute ~98% of total transcripts, and were once considered as "transcriptional noise". This review will focus on the newly identified functions of non-coding RNAs (ncRNAs) in cancer biology and therapeutic innovations. We review the existing knowledge on microRNAs, long non-coding RNAs, and circular RNAs in the context of their different experimental and computational studies, and we highlight their mechanisms of action in cancer hallmarks such as proliferation and resistance to apoptosis, metastasis, and metabolic reprogramming. We evaluate the translational landscape of ncRNA-based therapeutics by examining clinical trials in progress and completed, delivery methods, and emerging technologies. This review aims to separate fact from fiction and offer a balanced view on the facts, which will help guide future research and clinical development in the field of ncRNA oncology.

Indexed as

NeoplasmsRNA, UntranslatedAnimalsGene Expression Regulation, NeoplasticHumansMicroRNAsRNA, CircularRNA, Long NoncodingMicroRNAsRNA, CircularRNA, Long NoncodingRNA, Untranslatedcancerjunk DNAmolecular mechanismsnon-coding RNAstherapeutic targets

Identifiers

PMID42650778
PMCPMC13510930

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.