Evidence map›Paper›PMID 34687270›Full record

ArticleMolecular oncology2022

Lung cancer cells expressing a shortened CDK16 3'UTR escape senescence through impaired miR-485-5p targeting.

Qi Jia, Baiyun Xie, Zhaozhao Zhao, Leihuan Huang, Gang Wei, Ting Ni

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Aging and lung diseases: Unraveling mechanisms and therapeutic targets.Chinese medical journal pulmonary and critical care medicine · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. The Potential of Senescence as a Target for Developing Anticancer Therapy.International journal of molecular sciences · 2023
    Review
  11. Article
  12. 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

6 authors at 1 institution in 1 country.

Qi JiaState Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, School of Life Sciences and Huashan Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-0769-1874
Baiyun XieState Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, School of Life Sciences and Huashan Hospital, Fudan University, Shanghai, China.
Zhaozhao ZhaoState Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, School of Life Sciences and Huashan Hospital, Fudan University, Shanghai, China.
Leihuan HuangState Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, School of Life Sciences and Huashan Hospital, Fudan University, Shanghai, China.
Gang WeiState Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, School of Life Sciences and Huashan Hospital, Fudan University, Shanghai, China.ORCID 0000-0003-1442-3920
Ting NiState Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, School of Life Sciences and Huashan Hospital, Fudan University, Shanghai, China.ORCID 0000-0001-7007-1072
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inducing senescence in cancer cells is an emerging strategy for cancer therapy. The dysregulation and mutation of genes encoding cyclin-dependent kinases (CDKs) have been implicated in various human cancers. However, whether CDK can induce cancer cell senescence remains poorly understood. We observed that CDK16 expression was high in multiple cancer types, including lung cancer, whereas various replicative senescence models displayed low CDK16 expression. CDK16 knockdown caused senescence-associated phenotypes in lung cancer cell lines. Interestingly, the CDK16 3' UTR was shortened in cancer and lengthened in senescence models, which was regulated by alternative polyadenylation (APA). The longer 3'UTR [using the distal polyA (pA) site] generated less protein than the shorter one (using the proximal pA site). Since microRNAs (miRNAs) usually bind to the 3'UTR of target genes to suppress their expression, we investigated whether miRNAs targeting the region between the shortened and longer 3'UTR are responsible for the reduced expression. We found that miR-485-5p targeted the 3'UTR between the distal and proximal pA site and caused senescence-associated phenotypes by reducing protein production from the longer CDK16 transcript. Of note, CDK16 knockdown led to a reduced expression of MYC proto-oncogene, bHLH transcription factor (MYC) and CD274 molecule (PD-L1), which in turn enhanced the tumor-suppressive effects of senescent cancer cells. The present study discovered that CDK16, whose expression is under the regulation of APA and miR-485-5p, is a potential target for prosenescence therapy for lung cancer.

Indexed as

Lung NeoplasmsMicroRNAs3' Untranslated RegionsCell Line, TumorCyclin-Dependent KinasesGenes, mycHumans3' Untranslated RegionsCyclin-Dependent KinasesMicroRNAsMIRN485 microRNA, humanPCTAIRE-1 protein kinase3′UTRAPAcancer cell senescenceCDK16miR-485-5p

Identifiers

PMID34687270
PMCPMC8936527
OpenAlexW3207012222

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.