Evidence map›Paper›PMID 33663506›Full record

ArticleCancer cell international2021

RNA sequencing reveals the expression profiles of circRNA and identifies a four-circRNA signature acts as a prognostic marker in esophageal squamous cell carcinoma.

Weiwei Wang, Di Zhu, Zhihua Zhao, Miaomiao Sun, Feng Wang, Wencai Li, Jianying Zhang, Guozhong Jiang

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

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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

14 citing papers in PubMed, 16 citations in OpenAlex.

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  9. American journal of cancer research · 2023
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  14. The Prognostic Value and Immune Landscapes of a mFrontiers in cell and developmental biology · 2021
    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

8 authors at 2 institutions in 1 country.

Weiwei Wang *Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Jian she Dong Road 1, Zhengzhou, 450052, Henan, China.
Di Zhu *Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Jian she Dong Road 1, Zhengzhou, 450052, Henan, China.
Zhihua ZhaoDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Jian she Dong Road 1, Zhengzhou, 450052, Henan, China.
Miaomiao SunDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Jian she Dong Road 1, Zhengzhou, 450052, Henan, China.
Feng WangDepartment of Oncology, First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052, China.
Wencai LiDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Jian she Dong Road 1, Zhengzhou, 450052, Henan, China.
Jianying ZhangState Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan, China. jianyingzhang@hotmail.com.
Guozhong JiangDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Jian she Dong Road 1, Zhengzhou, 450052, Henan, China. guozhongjiang@zzu.edu.cn.ORCID http://orcid.org/0000-0001-6306-726X
Zhengzhou University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

Henan Programs for Science and Technology Development 212102310134National Major Science and Technology Projects of China 2018ZX10302205National Natural Science Foundation of China 81272371Zhengzhou Major Project for Collaborative Innovation 18XTZX12007
6 · The paper itself

Abstract

backgroundCircRNAs with tissue-specific expression and stable structure may be good tumor prognostic markers. However, the expression of circRNAs in esophageal squamous cell carcinoma (ESCC) remain unknown. We aim to identify prognostic circRNAs and construct a circRNA-related signature in ESCC.

methodsRNA sequencing was used to test the circRNA expression profiles of 73 paired ESCC tumor and normal tissues after RNase R enrichment. Bioinformatics methods, such as principal component analysis (PCA), t-distributed Stochastic Neighbor Embedding (t-SNE) algorithm, unsupervised clustering and hierarchical clustering were performed to analyze the circRNA expression characteristics. Univariate cox regression analysis, random survival forests-variable hunting (RSFVH), Kaplan-Meier analysis, multivariable Cox regression and ROC (receiver operating characteristic) curve analysis were used to screen the prognostic circRNA signature. Real-time quantitative PCR (qPCR) and fluorescence in situ hybridization(FISH) in 125 ESCC tissues were performed.

resultsCompared with normal tissues, there were 11651 differentially expressed circRNAs in cancer tissues. A total of 1202 circRNAs associated with ESCC prognosis (P < 0.05) were identified. Through bioinformatics analysis, we screened a circRNA signature including four circRNAs (hsa_circ_0000005, hsa_circ_0007541, hsa_circ_0008199, hsa_circ_0077536) which can classify the ESCC patients into two groups with significantly different survival (log rank P < 0.001), and found its predictive performance was better than that of the TNM stage(0.84 vs. 0.66; 0.65 vs. 0.62). Through qPCR and FISH experiment, we validated the existence of the screened circRNAs and the predictive power of the circRNA signature.

conclusionThe prognostic four-circRNA signature could be a new prognostic biomarker for ESCC, which has high clinical application value.

Indexed as

circRNAEsophageal squamous cell carcinomaPrognostic biomarkerSignatureSurvival

Identifiers

PMID33663506
PMCPMC7934454
OpenAlexW3135748639

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.