Evidence map›Paper›PMID 39273053›Full record

ReviewCells2024

The Role of circHIPK3 in Tumorigenesis and Its Potential as a Biomarker in Lung Cancer.

Eryk Siedlecki, Piotr Remiszewski, Rafał Stec

Abstract readReview
In one paragraph

Review in Cells, 2024. 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
–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

12 citing papers in PubMed.

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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

3 authors.

Eryk SiedleckiDepartment of Oncology, Medical University of Warsaw, 02-097 Warsaw, Poland.ORCID 0009-0005-6141-7701
Piotr RemiszewskiDepartment of Oncology, Medical University of Warsaw, 02-097 Warsaw, Poland.
Rafał StecDepartment of Oncology, Medical University of Warsaw, 02-097 Warsaw, Poland.ORCID 0000-0002-3291-6422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer treatment and detection can be improved by the identification of new biomarkers. Novel approaches in investigating circular RNAs (circRNAs) as biomarkers have yielded promising results. A circRNA molecule circHIPK3 was found to be widely expressed in non-small-cell lung cancer (NSCLC) cells, where it plays a crucial role in lung cancer tumorigenesis. CircHIPK3 promotes lung cancer progression by sponging oncosuppressive miRNAs such as miR-124, miR-381-3p, miR-149, and miR-107, which results in increased cell proliferation, migration, and resistance to therapies. Inhibiting circHIPK3 has been demonstrated to suppress tumour growth and induce apoptosis, which suggests its potential use in the development of new lung cancer treatment strategies targeting circHIPK3-related pathways. As a biomarker, circHIPK3 shows promise for early detection and monitoring of lung cancer. CircHIPK3 increased expression levels in lung cancer cells, and its potential link to metastasis risk highlights its clinical relevance. Given the promising preliminary findings, more clinical trials are needed to validate circHIPK3 efficacy as a biomarker. Moreover, future research should determine if the mechanisms discovered in NSCLC apply to small cell lung cancer (SCLC) to investigate circHIPK3-targeted therapies for SCLC.

Indexed as

Biomarkers, TumorCarcinogenesisLung NeoplasmsRNA, CircularAnimalsCarcinoma, Non-Small-Cell LungGene Expression Regulation, NeoplasticHumansIntracellular Signaling Peptides and ProteinsMicroRNAsProtein Serine-Threonine KinasesBiomarkers, TumorHIPK3 protein, humanIntracellular Signaling Peptides and ProteinsMicroRNAsProtein Serine-Threonine KinasesRNA, Circularbiomarkercell proliferationcircHIPK3circular RNAsexpressionlung cancermetastasismiRNAprogressiontumorigenesis

Identifiers

PMID39273053
PMCPMC11393915

What OpenQuestion holds

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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.