Evidence map›Paper›PMID 36426933›Full record

ReviewJournal of clinical laboratory analysis2022

The roles and mechanisms of circular RNAs related to mTOR in cancers.

Chunli Cao, Yao Wang, Xinxin Wu, Zhe Li, Junming Guo, Weiliang Sun

Abstract readReview
In one paragraph

Review in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  5. Article
  6. Review
  7. The role of AMPK in pancreatic cancer: from carcinogenesis to treatment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  8. Review
  9. Article
  10. Review
  11. circRNAs in Endometrial Cancer-A Promising Biomarker: State of the Art.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Review
  14. Review
  15. The roles and mechanisms of circular RNAs related to mTOR in cancers.Journal of clinical laboratory analysis · 2022
    Review
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.

Chunli CaoDepartment of Biochemistry and Molecular Biology and Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China.
Yao WangDepartment of Biochemistry and Molecular Biology and Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China.
Xinxin WuDepartment of Biochemistry and Molecular Biology and Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China.
Zhe LiDepartment of Gastroenterology, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, China.
Junming GuoDepartment of Biochemistry and Molecular Biology and Zhejiang Key Laboratory of Pathophysiology, Medical School of Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0003-2026-1075
Weiliang SunThe Affiliated People's Hospital, Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0003-0364-4867

Funding

Health Commission of Zhejiang Province no. 2023XY029National Natural Science Foundation of China no. 81772279Ningbo Municipal Bureau of Science and Technology no. 2021Z133Ningbo Municipal Bureau of Science and Technology no. 2022Z130Ningbo University
6 · The paper itself

Abstract

backgroundCircular RNAs (circRNAs) are stable molecules with covalently closed structures that have an irreplaceable role in the occurrence, progression, and even treatment of plenty of cancers. Mammalian/mechanistic target of rapamycin (mTOR) is a key regulator in cancers and plays several biological functions, such as proliferation, migration, invasion, autophagy, and apoptosis.

methodsAll data were collected through PubMed and CNKI, using terms including "circRNA," "mTOR," "caner," "signaling pathway," "biomarker," "diagnosis," "treatment." Articles published in Chinese and English were included.

resultsIn this review, the expression, function, and mechanism of circRNA-associated mTOR in cancers were described. CircRNA-associated-mTOR can regulate the progression and therapy of a variety of cancers in multiple signaling pathways, such as phosphatidylinositol-3-kinase (PI3K)/protein kinase B (Akt)/mTOR, mitogen-activated protein kinase (MAPK)/mTOR, and AMP-activated protein kinase (AMPK)/mTOR axis. These cancers including esophageal carcinoma (circLPAR3, ciRS-7), gastric cancer (circNRIP1, hsa_circ_0010882, hsa_circ_0000117, hsa_circ_0072309, and circST3GAL6), colorectal cancer (hsa_circ_0000392, hsa_circ_0084927, hsa_circ_0104631, and circFBXW7), liver cancer (circC16orf62, hsa_circ_100338, hsa_circ_0004001, hsa_circ_0004123, hsa_circ_0075792, hsa_circ_0079299, and hsa_circ_0002130), pancreatic cancer (circ-IARS and circRHOBTB3), renal carcinoma (ciRS-7), bladder cancer (circUBE2K), prostate cancer (circMBOAT2 and circ-ITCH), ovarian cancer (circEEF2, circRAB11FIP1, circMYLK, and circTPCN), endometrial cancer (hsa_circ_0002577 and circWHSC1), lung cancer (circHIPK3, hsa_circ_0001666), thyroid cancer (hsa_circ_0007694 and hsa_circ_0008274), glioma (circGFRA1, circ-MAPK4, circPCMTD1, and hsa_circ_0037251), osteosarcoma (circTCF25), leukemia (circ-PRKDC), and breast cancer (hsa_circ_0000199, circUBAP2, and circWHSC1).

Indexed as

Bone NeoplasmsKidney NeoplasmsMicroRNAsOsteosarcomaAnimalsCell ProliferationGene Expression Regulation, NeoplasticHumansMaleMammalsRNA, CircularTOR Serine-Threonine KinasesMicroRNAsMTOR protein, humanRNA, CircularTOR Serine-Threonine KinasescancercircRNAfunctionmechanismmTOR

Identifiers

PMID36426933
PMCPMC9757007

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.