Evidence map›Paper›PMID 34336033›Full record

ArticleArchives of medical science : AMS2021

The mechanism of treatment of multiple myeloma with metformin by way of metabolism.

Yanyan Song, Song Chen, Wei Xiang, Muran Xiao, Hui Xiao

Open access · goldAbstract read
In one paragraph

Article in Archives of medical science : AMS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Effect of GAEnvironmental science and pollution research international · 2024
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Metabolic Disorders in Multiple Myeloma.International journal of molecular sciences · 2021
    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

5 authors at 2 institutions in 1 country.

Yanyan SongDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Song ChenDepartment of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wei XiangDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Muran XiaoDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Hui XiaoDepartment of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNZhongnan Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMultiple myeloma (MM) is a malignant hematologic tumor. Although many new drugs are currently found to significantly improve the median survival, MM is still not curable due partly to drug resistance recurrence. Epidemiological studies have shown that patients with type 2 diabetes have a high risk of malignancy, and patients' treatment with metformin could reduce the risk of cancer as well as associated mortality. MATERIAL AND

methodsWe used chemotherapeutics - melphalan combined with metformin or the single drug - to treat RPMI8226 cells and used a series of tests to detect the drug sensitivity, apoptotic rate, DNA damage and the concentration of ATP. SPSS 17.0 was used to analyze the data.

resultsThe inhibitory effect of melphalan on RPMI8226 cells was significantly increased after metformin was added (

conclusionsMetformin can promote DNA damage induced by melphalan and decrease the concentration of ATP in the process of repairing DNA damage to hinder the anti-apoptotic process of tumor cells, which showed the pesticide effect of the enhanced sensitivity of multiple myeloma cells to melphalan.

Indexed as

metabolismmetforminmultiple myelomasynergy

Identifiers

PMID34336033
PMCPMC8314393
OpenAlexW3106697753

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.