Evidence map›Paper›PMID 37302024›Full record

ArticleCancer biomarkers : section A of Disease markers2023

Integrative analysis of negatively regulated miRNA-mRNA axes for esophageal squamous cell carcinoma.

Shuang Peng, Shiyu Zhang, Xingchen Fan, Jingfeng Zhu, Cheng Liu, Yulin Yue, Tongshan Wang, Wei Zhu

Open access · hybridAbstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2023. 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
0.7field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

8 authors at 3 institutions in 1 country.

Shuang PengDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Shiyu ZhangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Xingchen FanDepartment of Geriatrics, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu, China.
Jingfeng ZhuDepartment of Nephrology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Cheng LiuDepartment of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yulin YueDepartment of Laboratory, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Tongshan WangDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Wei ZhuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Jiangsu Province Hospital · CNSecond Affiliated Hospital of Nanjing Medical University · CNThe First People’s Hospital of Lianyungang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs regulating mRNA expression by targeting at mRNAs is known constructive in tumor occurrence, immune escape, and metastasis.

objectiveThis research aims at finding negatively regulatory miRNA-mRNA pairs in esophageal squamous cell carcinoma (ESCC).

methodsGENE expression data of The Cancer Genome Atlas (TCGA) and GEO database were employed in differently expressed RNA and miRNA (DE-miRNAs/DE-mRNAs) screening. Function analysis was conducted with DAVID-mirPath. MiRNA-mRNA axes were identified by MiRTarBase and TarBase and verified in esophageal specimen by real-time reverse transcription polymerase chain reaction (RT-qPCR). Receiver operation characteristic (ROC) curve and Decision Curve Analysis (DCA) were applied in miRNA-mRNA pairs predictive value estimation. Interactions between miRNA-mRNA regulatory pairs and immune features were analyzed using CIBERSORT.

resultsCombining TCGA database, 4 miRNA and 10 mRNA GEO datasets, totally 26 DE-miRNAs (13 up and 13 down) and 114 DE-mRNAs (64 up and 50 down) were considered significant. MiRTarBase and TarBase identified 37 reverse regulation miRNA-mRNA pairs, 14 of which had been observed in esophageal tissue or cell line. Through analysis of RT-qPCR outcome, miR-106b-5p/KIAA0232 signature was chosen as characteristic pair of ESCC. ROC and DCA verified the predictive value of model containing miRNA-mRNA axis in ESCC. Via affecting mast cells, miR-106b-5p/KIAA0232 may contribute to tumor microenvironment.

conclusionsThe diagnostic model of miRNA-mRNA pair in ESCC was established. Their complex role in ESCC pathogenesis especially tumor immunity was partly disclosed.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaMicroRNAsBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisRNA, MessengerTumor MicroenvironmentBiomarkers, TumorMicroRNAsRNA, MessengerBiomarkersesophageal squamous cell carcinomaGEOmiRNA-mRNA interactionPCRTCGA

Identifiers

PMID37302024
PMCPMC12412836
OpenAlexW4379524324

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.