Evidence map›Paper›PMID 33760215›Full record

ArticleMolecular medicine reports2021

Tumor suppressor miR‑613 induces cisplatin sensitivity in non‑small cell lung cancer cells by targeting GJA1.

Jianhua Luo, Yan Jin, Mengyuan Li, Liyang Dong

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Molecular medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Perspective and Therapeutic Potential of the Noncoding RNA-Connexin Axis.International journal of molecular sciences · 2024
    Review
  3. Research progress of the netrins and their receptors in cancer.Journal of cellular and molecular medicine · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Jianhua LuoDepartment of Respiratory Medicine, Taizhou Municipal Hospital, Taizhou, Zhejiang 318000, P.R. China.
Yan JinDepartment of Respiratory Medicine, Taizhou Municipal Hospital, Taizhou, Zhejiang 318000, P.R. China.
Mengyuan LiDepartment of Respiratory Medicine, Taizhou Municipal Hospital, Taizhou, Zhejiang 318000, P.R. China.
Liyang DongDepartment of Invasive Technology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, P.R. China.
Taizhou Municipal Hospital · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been reported that microRNAs (miRs) contribute to several biological functions and are associated with drug resistance in various types of cancer. However, to the best of our knowledge, whether miR‑613 can affect cisplatin (CDDP) sensitivity in non‑small cell lung cancer (NSCLC) remains unknown. Reverse transcription‑quantitative PCR was performed to detect the expression levels of miR‑613 and gap junction α‑1 protein (GJA1) in patients with NSCLC. Cell Counting Kit‑8, colony formation and Transwell assays were employed to exam the effects of miR‑613 and GJA1 on cell functions. Cell apoptosis was analyzed using flow cytometry. An

Indexed as

A549 CellsAgedApoptosisCarcinoma, Non-Small-Cell LungCell Line, TumorCell MovementCell ProliferationCisplatinConnexin 43Drug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansMaleMicroRNAsMiddle AgedCisplatinConnexin 43GJA1 protein, humanMicroRNAscisplatingap junction α‑1 proteinlung cancermicroRNA‑613

Identifiers

PMID33760215
PMCPMC7986010
OpenAlexW3138615756

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.