Evidence map›Paper›PMID 33262823›Full record

ArticleOncology letters2021

Metformin inhibits epithelial-mesenchymal transition of oral squamous cell carcinoma via the mTOR/HIF-1α/PKM2/STAT3 pathway.

Weihuang Yin, Yang Liu, Xinchen Liu, Xiaozhou Ma, Bin Sun, Ziying Yu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2021. 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
1.0field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  3. Energy metabolism in health and diseases.Signal transduction and targeted therapy · 2025
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  6. Article
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  10. Targeting Energy Metabolism in Cancer Treatment.International journal of molecular sciences · 2022
    Review
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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 2 institutions in 1 country.

Weihuang YinDepartment of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Jilin University, Changchun, Jilin 130021, P.R. China.
Yang LiuDepartment of Orthopedics, The Second Hospital of Jilin University, Changchun, Jilin 130041, P.R. China.
Xinchen LiuDepartment of Endodontics, School and Hospital of Stomatology, Jilin University, Changchun, Jilin 130021, P.R. China.
Xiaozhou MaDepartment of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Jilin University, Changchun, Jilin 130021, P.R. China.
Bin SunDepartment of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Jilin University, Changchun, Jilin 130021, P.R. China.
Ziying YuDepartment of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Jilin University, Changchun, Jilin 130021, P.R. China.
Jilin University · CNSecond Affiliated Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-mesenchymal transition (EMT) serves an important role in the formation and development of various types of cancer, including oral squamous cell carcinoma (OSCC). Metformin, used for treating type 2 diabetes, has been revealed to exert an anticancer effect in various types of cancer, including liver, breast and colorectal cancer. However, its role in the EMT of OSCC has been rarely reported. Therefore, the present study aimed to investigate the effects of metformin on EMT and to identify its underlying mechanism in OSCC. Firstly, EMT was induced in CAL-27 cells using CoCl

Indexed as

epithelial-mesenchymal transitionmetforminmTORoral squamous cell carcinoma

Identifiers

PMID33262823
PMCPMC7693125
OpenAlexW3106277352

What OpenQuestion holds

Textmetadata
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.