Evidence map›Paper›PMID 38652547›Full record

ArticleJCI insight2024

Multi-omics characterization of esophageal squamous cell carcinoma identifies molecular subtypes and therapeutic targets.

Dengyun Zhao, Yaping Guo, Huifang Wei, Xuechao Jia, Yafei Zhi, Guiliang He, Wenna Nie, Limeng Huang, Penglei Wang, Kyle Vaughn Laster and 5 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 9 citations in OpenAlex.

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  13. Mast cell driven immunometabolism as a therapeutic entry point in ESCC.Frontiers in cell and developmental biology · 2026
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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

15 authors at 4 institutions in 2 countries.

Dengyun ZhaoDepartment of Pathophysiology, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Yaping GuoDepartment of Pathophysiology, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Huifang WeiDepartment of Pathophysiology, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Xuechao JiaDepartment of Pathophysiology, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Yafei ZhiDepartment of Pathophysiology, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Guiliang HeChina-US (Henan) Hormel Cancer Institute, Zhengzhou, Henan, China.
Wenna NieChina-US (Henan) Hormel Cancer Institute, Zhengzhou, Henan, China.
Limeng HuangChina-US (Henan) Hormel Cancer Institute, Zhengzhou, Henan, China.
Penglei WangDepartment of Pathophysiology, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Kyle Vaughn LasterChina-US (Henan) Hormel Cancer Institute, Zhengzhou, Henan, China.
Zhicai LiuLinzhou Cancer Hospital, Anyang, Henan, China.
Jinwu WangLinzhou Cancer Hospital, Anyang, Henan, China.
Mee-Hyun LeeDepartment of Pathophysiology, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Zigang DongDepartment of Pathophysiology, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Kangdong LiuDepartment of Pathophysiology, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Zhengzhou University · CNChina-US (Henan) Hormel Cancer Institute · CNLinzhou Cancer Hospital · CNDongshin University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) is the predominant form of esophageal cancer and is characterized by an unfavorable prognosis. To elucidate the distinct molecular alterations in ESCC and investigate therapeutic targets, we performed a comprehensive analysis of transcriptomics, proteomics, and phosphoproteomics data derived from 60 paired treatment-naive ESCC and adjacent nontumor tissue samples. Additionally, we conducted a correlation analysis to describe the regulatory relationship between transcriptomic and proteomic processes, revealing alterations in key metabolic pathways. Unsupervised clustering analysis of the proteomics data stratified patients with ESCC into 3 subtypes with different molecular characteristics and clinical outcomes. Notably, subtype III exhibited the worst prognosis and enrichment in proteins associated with malignant processes, including glycolysis and DNA repair pathways. Furthermore, translocase of inner mitochondrial membrane domain containing 1 (TIMMDC1) was validated as a potential prognostic molecule for ESCC. Moreover, integrated kinase-substrate network analysis using the phosphoproteome nominated candidate kinases as potential targets. In vitro and in vivo experiments further confirmed casein kinase II subunit α (CSNK2A1) as a potential kinase target for ESCC. These underlying data represent a valuable resource for researchers that may provide better insights into the biology and treatment of ESCC.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaProteomicsAnimalsBiomarkers, TumorCasein Kinase IICell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMiddle AgedMultiomicsPrognosisTranscriptomeBiomarkers, TumorCasein Kinase IICancerOncologyProtein kinasesProteomicsTherapeutics

Identifiers

PMID38652547
PMCPMC11141925
OpenAlexW4395083022

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.