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Record W2923616095 · doi:10.1186/s12943-019-0958-6

RETRACTED ARTICLE: CircPSMC3 suppresses the proliferation and metastasis of gastric cancer by acting as a competitive endogenous RNA through sponging miR-296-5p

2019· article· en· W2923616095 on OpenAlexaff
Dawei Rong, Lu Chen, Betty Zhang, Kai Fu, Shuli Zhao, Weiwei Tang, Hongyong Cao

Post-publication record

NatureRetraction
ReasonContamination of Cell Lines/Tissues;Duplication of/in Image;Upgrade/Update of Prior Notice(s);
Date1/16/2023 0:00
Flagged by OpenAlex?Yes

Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.

Bibliographic record

VenueMolecular Cancer · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCircular RNAs in diseases
Canadian institutionsMcMaster University
FundersNanjing Medical UniversityGovernment of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsBiologyCompeting endogenous RNACarcinogenesisTensinmicroRNAEctopic expressionCancer researchGene knockdownPTENCancerMetastasisCircular RNAIn vivoMolecular biologyRNALong non-coding RNACell cultureCell biologySignal transductionGenePI3K/AKT/mTOR pathwayGenetics

Abstract

fetched live from OpenAlex

BACKGROUND: Circular RNAs (circRNAs) are a class of non-coding RNAs with a loop structure, but its functions remain largely unknown. Growing evidence has revealed that circRNAs play a striking role as functional RNAs in the progression of malignant disease. However, the precise role of circRNAs in gastric cancer (GC) remains unclear. METHODS: CircRNAs were determined by human circRNA array analysis and quantitative reverse transcription polymerase reaction. Luciferase reporter, RNA pull down, and fluorescence in situ hybridization assays were employed to test the interaction between circPSMC3 and miR-296-5p. Ectopic over-expression and siRNA-mediated knockdown of circPSMC3, proliferation, migration and invasion in vitro, and in vivo experiment of metastasis were used to evaluate the function of circPSMC3. RESULTS: CircPSMC3 rather than liner PSMC3 mRNA was down-regulated in GC tissues, corresponding plasmas from GC patients as well as GC cell lines compared to normal controls. Lower circPSMC3 expression in GC patients was correlated with higher TNM stage and shorter overall survival. Over-expression of circPSMC3 and miR-296-5p inhibitor could inhibit the tumorigenesis of gastric cancer cells in vivo and vitro whereas co-transfection of circPSMC3 and miRNA-296-5p could counteract this effect. Importantly, we demonstrated that circPSMC3 could act as a sponge of miR-296-5p to regulate the expression of Phosphatase and Tensin Homolog (PTEN), and further suppress the tumorigenesis of gastric cancer cells. CONCLUSION: Our study reveals that circPSMC3 can serve as a novel potential circulating biomarker for detection of GC. CircPSMC3 participates in progression of gastric cancer by sponging miRNA-296-5p with PTEN, providing a new insight into the treatment of gastric cancer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0410.014

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.265
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations270
Published2019
Admission routes1
Has abstractyes

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