Evidence map›Paper›PMID 36740995›Full record

ArticleTechnology in cancer research & treatment

Upregulation of OTX2-AS1 is Associated With Immune Infiltration and Predicts Prognosis of Gastric Cancer.

Quan-Li Han, Zhi Cui, Qi Wang, Fang Pang, Dongbing Li, Dongliang Wang

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 24 citations in OpenAlex.

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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 2 institutions in 1 country.

Quan-Li HanMedical Oncology Department, The First Medical Center, 104607Chinese PLA General Hospital, Beijing, China.
Zhi CuiMedical Oncology Department, The First Medical Center, 104607Chinese PLA General Hospital, Beijing, China.
Qi WangMedical Oncology Department, The First Medical Center, 104607Chinese PLA General Hospital, Beijing, China.
Fang PangSchool of Medicine, 12538Nankai University, Tianjin, China.
Dongbing Li590636ChosenMed Technology (Beijing) Co., Ltd, Beijing, China.ORCID 0000-0002-5227-9643
Dongliang Wang590636ChosenMed Technology (Beijing) Co., Ltd, Beijing, China.
Chinese PLA General Hospital · CNNankai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is unclear whether the long non-coding RNA (lncRNA) OTX2 antisense RNA 1 (OTX2-AS1) plays a pivotal role in gastric cancer (GC). An analysis of The Cancer Genome Atlas (TCGA) database data and bioinformatics was used to explore the relationship between OTX2-AS1 and GC in the current study.

methodsWe evaluated the relationship between clinical features and OTX2-AS1 expression, prognostic factors, and the significant involvement of OTX2-AS1 in function using various statistical methods, such as Kaplan-Meier method, Cox regression analysis, Gene Set Enrichment Analysis (GSEA), and immune infiltration analysis. GC cell lines were tested for OTX2-AS1 expression using qRT-PCR.

resultsA high level of OTX2-AS1 expression was significantly and negatively associated with

conclusionThere was a significant association between OTX2-AS1 expression in GC patients and poor survival, suggesting that it may be a useful biomarker for prognosis and immunotherapy outcome of stomach adenocarcinoma (STAD) in GC.

Indexed as

RNA, Long NoncodingStomach NeoplasmsCell Line, TumorHumansOtx Transcription FactorsPrognosisSignal TransductionUp-RegulationOTX2 protein, humanOtx Transcription FactorsRNA, Long Noncodingbiomarkergastric cancerimmune infiltrationOTX2-AS1prognosis

Identifiers

PMID36740995
PMCPMC9905030
OpenAlexW4319294397

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.