Evidence map›Paper›PMID 42709882›Full record

ArticlePLoS computational biology2026

Non-coding RNA 7SK drives tumor resistance by coupling local oncogenic activation with global transcriptional repression.

Ping Xu, Zile Luo, Xi Chen, Zhongyang Yuan, Le Cheng, Yi Yang, Hongcheng Lin, Qiong Zhang, Pengfei Qin

Abstract read
In one paragraph

Article in PLoS computational biology, 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

9 authors.

Ping XuBGI Research, Chongqing, China.
Zile LuoBGI Research, Chongqing, China.
Xi ChenBGI Research, Chongqing, China.
Zhongyang YuanBGI Research, Chongqing, China.
Le ChengBGI Research, Kunming, China.
Yi YangBGI Research, Kunming, China.
Hongcheng LinDepartment of General Surgery (Department of Coloproctology), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Qiong ZhangDepartment of Obstetrics and Reproductive Medicine, Affiliated Hospital of Yunnan University, Kunming, Yunnan, China.
Pengfei QinBGI Research, Chongqing, China.ORCID 0009-0009-0101-343X

Funding

National Natural Science Foundation of ChinaShenzhen Science and Technology ProgramState Key Laboratory of Genome and Multi-omics Technologies
6 · The paper itself

Abstract

The conserved non-coding RNA 7SK is a well-established global transcriptional repressor, yet its context-specific functions in cancer and therapy resistance remain paradoxical. Here, we resolve this paradox by uncovering a dual-axis mechanism through which 7SK drives colorectal cancer (CRC) resistance. By integrating single-cell multi-omics with functional assays, we demonstrate that 7SK not only selectively activates the JUN transcriptional network to fuel tumor proliferation but also reduces global transcriptional entropy to stabilize an immunosuppressive microenvironment and promote immune escape. This "local activation-global suppression" paradigm is conserved across multiple cancer types, positioning 7SK as a potential pan-cancer therapeutic target. Our findings reveal 7SK as a dynamic modulator that balances oncogene-specific transcription with global transcriptional suppression across cancers, providing a new framework for understanding and targeting ncRNA-mediated resistance.

Indexed as

Colorectal NeoplasmsDrug Resistance, NeoplasmRNA, Long NoncodingRNA, UntranslatedAnimalsCell Line, TumorGene Expression Regulation, NeoplasticHumansOncogenesTranscriptional ActivationTumor MicroenvironmentRNA, Long NoncodingRNA, Untranslated

Identifiers

PMID42709882
PMCPMC13568491

What Socratic 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 Socratic graph.