Evidence map›Paper›PMID 39692561›Full record

ArticleTechnology in cancer research & treatment

Plasma CircCYP24A1 as a Novel Biomarker of Esophageal Squamous Cell Carcinoma.

Ruolan Zhang, Jianlin Liu, Hang Yang, Jinsong Tan, Rong Xiong, Yun Liu, Gang Feng, Guiqin Song, Kang Liu

Abstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Ruolan ZhangInstitute of Tissue Engineering and Stem Cells, Beijing Anzhen Nanchong Hospital, Capital Medical University & Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong 63700, China.ORCID 0009-0001-7590-2434
Jianlin LiuInstitute of Tissue Engineering and Stem Cells, Beijing Anzhen Nanchong Hospital, Capital Medical University & Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong 63700, China.
Hang YangInstitute of Tissue Engineering and Stem Cells, Beijing Anzhen Nanchong Hospital, Capital Medical University & Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong 63700, China.
Jinsong TanInstitute of Tissue Engineering and Stem Cells, Beijing Anzhen Nanchong Hospital, Capital Medical University & Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong 63700, China.
Rong XiongInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong, China.
Yun LiuInstitute of Basic Medicine and Forensic Medicine, North Sichuan Medical College, Nanchong, China.
Gang FengInstitute of Tissue Engineering and Stem Cells, Beijing Anzhen Nanchong Hospital, Capital Medical University & Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong 63700, China.
Guiqin SongInstitute of Tissue Engineering and Stem Cells, Beijing Anzhen Nanchong Hospital, Capital Medical University & Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong 63700, China.
Kang LiuInstitute of Tissue Engineering and Stem Cells, Beijing Anzhen Nanchong Hospital, Capital Medical University & Nanchong Central Hospital, The Second Clinical Medical College of North Sichuan Medical College, Nanchong 63700, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA clinical challenge in esophageal squamous cell carcinoma (ESCC) remains the lack of applicable plasma biomarkers for screening and diagnosis. Circular RNAs (circRNAs) hold great potential as biomarkers for cancer. The study aims to explore a circRNA as a potential plasma biomarker for screening strategies and diagnostic approaches to ESCC.

methodsUpregulated circRNAs were identified through RNA sequencing, with circCYP24A1 being identified as the target circRNA. Fluorescence in situ hybridization was employed to detect the expression of circCYP24A1 in ESCC tissue microarrays, aiming to assess the expression of circCYP24A1 in a large population and its correlation with clinical indicators. Subsequently, qRT-PCR analysis was performed on plasma samples from both ESCC patients and healthy controls to evaluate the expression levels of circCYP24A1, exploring its potential as a biomarker. Finally, the functions of circCYP24A1 were validated through CCK-8 assay, wound healing assay, trans-well assays and western blot assays.

resultsCircCYP24A1 demonstrated upregulation in both plasma and tissues, exhibiting correlations with lymph node metastasis, TNM staging, and prognosis in ESCC. The circCYP24A1 achieved a perfect area under the curve of 0.94 for the diagnosis of ESCC, and an area under the curve of 0.76 for the prediction of lymph node metastasis. Furthermore, functional loss assays revealed that circCYP24A1 effectively promotes the epithelial-mesenchymal transition and tumor metastasis in vitro.

conclusionsCircCYP24A1 emerges as a potential plasma diagnostic biomarker and a predictive factor for LNM for ESCC.

Indexed as

Biomarkers, TumorEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaRNA, CircularAgedCell Line, TumorCell MovementCell ProliferationEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMaleMiddle AgedNeoplasm StagingBiomarkers, TumorRNA, CircularbiomarkercircCYP24A1circular RNAesophageal squamous cell carcinomalymph node metastasis

Identifiers

PMID39692561
PMCPMC11660079

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.