Evidence map›Paper›PMID 36909247›Full record

ReviewFrontiers in physiology2023

Investigations into the impact of non-coding RNA on the sensitivity of gastric cancer to radiotherapy.

Muhammad Usman, Aferin Beilerli, Albert Sufianov, Valentin Kudryashov, Tatiana Ilyasova, Pavel Balaev, Andrei Danilov, Hong Lu, Ilgiz Gareev

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

9 authors.

Muhammad UsmanDepartment of Medical Imaging, Central Hospital Affiliated to Chongqing University of Technology, Chongqing, China.
Aferin BeilerliDepartment of Obstetrics and Gynecology, Tyumen State Medical University, Tyumen, Russia.
Albert SufianovDepartment of Neurosurgery, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Valentin KudryashovGastric Cancer Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Tatiana IlyasovaDepartment of Internal Diseases, Bashkir State Medical University, Ufa, Russia.
Pavel BalaevDepartment of Oncology and Radiology, Ural State Medical University, Yekaterinburg, Russia.
Andrei DanilovDepartment of Clinical Pharmacology, Smolensk State Medical University, Smolensk, Russia.
Hong LuDepartment of Medical Imaging, Central Hospital Affiliated to Chongqing University of Technology, Chongqing, China.
Ilgiz GareevEducational and Scientific Institute of Neurosurgery, Рeoples' Friendship University of Russia (RUDN University), Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-coding RNAs (ncRNAs) are a newly discovered functional RNA different from messenger RNA, which can participate in regulating the occurrence and development of tumors. More and more research results show that ncRNAs can participate in the regulation of gastric cancer (GC) radiotherapy response, and its mechanism may be related to its effect on DNA damage repair, gastric cancer cell stemness, cell apoptosis, activation of epidermal growth factor receptor signaling pathway, etc. This article summarizes the relevant mechanisms of ncRNAs regulating the response to radiotherapy in gastric cancer, which will be directly important for the introduction of ncRNAs particularly microRNAs (miRNAs), long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) into clinical medicine as biomarkers and therapeutic targets.

Indexed as

biofluidsbiomarkersgastric cancernon-coding RNAoncogenesisradiotherapytherapeutic targets

Identifiers

PMID36909247
PMCPMC9998927

What OpenQuestion holds

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Registered trials

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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.