Evidence map›Paper›PMID 33747284›Full record

ArticleArchives of medical science : AMS2021

Long non-coding RNA PTCSC3 inhibits human oral cancer cell proliferation by inducing apoptosis and autophagy.

Hongmei Zhang, Jiang Wang, Wenxing Xun, Jia Wang, Wei Song, Xiaoxia Wang

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 41% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Autophagy in oral cancer: Promises and challenges (Review).International journal of molecular medicine · 2024
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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 3 institutions in 1 country.

Hongmei ZhangDepartment of Stomatology, the Second Affiliated Hospital of Air Force Medical University, Xi'an, China.
Jiang WangDepartment of Neurosurgery, the First Affiliated Hospital of Air Force Medical University, Xi'an, China.
Wenxing XunDepartment of Stomatology, the Second Affiliated Hospital of Air Force Medical University, Xi'an, China.
Jia WangDepartment of Ultrasound Diagnostics, the Second Affiliated Hospital of Air Force Medical University, Xi'an, China.
Wei SongDepartment of Stomatology, the Second Affiliated Hospital of Air Force Medical University, Xi'an, China.
Xiaoxia WangDepartment of Dermatology, the Second Affiliated Hospital of Air Force Medical University, Xi'an, China.
Xi'an Medical University · CNSecond Affiliated Hospital of Chongqing Medical University · CNAir Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLong non-coding RNAs (lncRNAs) have gained increased attention due to the discovery of their roles in cancer-related processes. LncRNA PTCSC3 has been shown to have tumour-suppressive effects in thyroid cancer and glioblastoma. This study investigated the role of lncRNA PTSC3 in human oral cancer. MATERIAL AND

methodsCell viability was determined by MTT assay. The induction of apoptosis was confirmed by 4',6-diamidino-2-phenylindole (DAPI) and Annexin V/PI assays. Ultrastructural analysis was performed by electron microscopy. Transwell assay was used to monitor the invasion of oral cancer cells.

resultsThe results revealed significant (

conclusionsOverall, the evidence suggests that lncRNA PTCSC3 acts as a tumour suppressor in human oral cancer and suppresses oral cancer proliferation via induction of apoptosis and autophagy.

Indexed as

apoptosisautophagylncRNAoral cancerPTCSC3

Identifiers

PMID33747284
PMCPMC7959011
OpenAlexW3036004828

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.