Evidence map›Paper›PMID 38577942›Full record

ArticleMolecular medicine reports2024

[Corrigendum] Long non‑coding RNA NEAT1 promotes ovarian cancer cell invasion and migration by interacting with miR‑1321 and regulating tight junction protein 3 expression.

Min Luo, Lei Zhang, Hongying Yang, Kaili Luo, Chen Qing

Open access · hybridAbstract readPublished Erratum
In one paragraph

Article in Molecular medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Min LuoSchool of Medicine, Yunnan University, Kunming, Yunnan 650091, P.R. China.
Lei ZhangDepartment of Gynecology, Yunnan Tumor Hospital and The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China.
Hongying YangDepartment of Gynecology, Yunnan Tumor Hospital and The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China.
Kaili LuoSchool of Pharmaceutical Sciences and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan 650500, P.R. China.
Chen QingSchool of Pharmaceutical Sciences and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, Yunnan 650500, P.R. China.
Kunming Medical University · CNYunnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subsequently to the publication of the above article, an interested reader drew to the authors' attention that, for the cell invasion and migration assay images shown for the A2780 cell line in Figs. 1 and Fig. 3 on p. 3433 and 3435 respectively, the same data panel had apparently been selected to show the results of the si‑NEAT1 experiment in Fig. 1 and the si‑TJP3 experiment in Fig. 3. After having re‑examined their original data, the authors have realized that the image correctly shown for Fig. 1 was inadvertently copied across to Fig. 3. The corrected version of Fig. 3, now correctly showing the data for the si‑TJP3 experiment with the A2780 cell line, is shown on the next page. Note that this error did not significantly affect the results or the conclusions reported in this paper. All the authors agree to the publication of this Corrigendum, are grateful to the Editor of

Indexed as

long non‑coding RNAmicroRNA‑1321nuclear enriched abundant transcript 1ovarian cancertight junction protein 3

Identifiers

PMID38577942
PMCPMC11025029
OpenAlexW4393856215

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.