Evidence map›Paper›PMID 35070958›Full record

ArticleFrontiers in oncology2021

Stimulation of Let-7 Maturation by Metformin Improved the Response to Tyrosine Kinase Inhibitor Therapy in an m6A Dependent Manner.

Kai Li, Shan Gao, Lei Ma, Ye Sun, Zi-Yang Peng, Jie Wu, Ning Du, Hong Ren, Shou-Ching Tang, Xin Sun

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.0field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 51 citations in OpenAlex.

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  10. The roles and implications of RNA mNature reviews. Clinical oncology · 2023
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  16. The role of mFrontiers in endocrinology · 2023
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  17. Emerging Mutual Regulatory Roles between mInternational journal of molecular sciences · 2023
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  18. Recent Advances in RNA mCancer treatment and research · 2023
    Article
  19. Metformin and Cancer, an Ambiguanidous Relationship.Pharmaceuticals (Basel, Switzerland) · 2022
    Review
  20. HNRNPA2B1 Demonstrates Diagnostic and Prognostic Values Based on Pan-Cancer Analyses.Computational and mathematical methods in medicine · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Kai LiDepartment of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Shan GaoDepartment of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Lei MaDepartment of Anesthesiology and Perioperative Medicine, Operating Centre, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Ye SunDepartment of Anesthesiology and Operation, Operating Centre, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Zi-Yang PengDepartment of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Jie WuDepartment of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Ning DuDepartment of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Hong RenDepartment of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
Shou-Ching TangUniversity of Mississippi Medical Center, Cancer Center and Research Institute, University of Mississippi, Jackson, MS, United States.
Xin SunDepartment of Thoracic Surgery, Department of Thoracic Surgery and Oncology, Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an City, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNUniversity of Mississippi Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular mechanism of the tyrosine kinase inhibitor (TKI) resistant lung adenocarcinoma is currently unclear, and the role of methylated adenosine at the N6 position in the resistance of cancer stem cells (CSCs) therapy is unknown. This study identified a novel and effective strategy to enhance TKIs therapy response. We first confirmed the sensitization of Metformin enforcing on Osimertinib treatment and revealed the mature miRNAs signatures of the Osimertinib resistant H1975 and HCC827 cells. Let-7b expression was stimulated when adding Metformin and then increasing the therapy sensitivity by decreasing the stem cell groups expanding. Methyltransferase-like 3 (METTL3) increased the pri-Let-7b, decreased both the pre-Let-7b and mature Let-7b, attenuating the Let-7b controlling of stem cell renewal. The addition of Metformin increased the bindings of DNA methyltransferase-3a/b (DNMT3a/b) to the METTL3 promoter. With the help of the readers of NKAP and HNRNPA2B1, the cluster mediated m6A formation on pri-Let-7b processing increased the mature Let-7b, the key player in suppressing Notch signaling and re-captivating Osimertinib treatment. We revealed that the maturation processing signaling stimulated the methylation regulation of the miRNAs, and may determine the stemness control of the therapy resistance. Our findings may open up future drug development, targeting this pathway for lung cancer patients.

Indexed as

cancer stem-like cellsmiRNAs maturationn6-methyladenosinetherapy resistancetyrosine kinase inhibitor

Identifiers

PMID35070958
PMCPMC8770959
OpenAlexW4206797050

What OpenQuestion holds

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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.