Evidence map›Paper›PMID 39567604›Full record

ArticleScientific reports2024

Targeting TSPEAR-AS2 suppresses tumor growth and interferon signaling in esophageal cancer.

Chunyan Zhang, Yuanbo Cui

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
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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

2 authors.

Chunyan ZhangDepartment of Clinical Laboratory, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, 450007, China.
Yuanbo CuiDepartment of Translational Medicine Center, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, 450007, China. cuiyuanbo18@126.com.

Funding

Medical Science and Technology Project of Henan Province SBGJ202003053
6 · The paper itself

Abstract

Dysregulation of long non-coding RNAs (lncRNAs) and interferon signaling contributes to tumorigenesis and progression; however, their crosstalk in tumor biology remains poorly understood. Here, we showed that TSPEAR-AS2, an lncRNA mediated by METTL1, activates the interferon signaling pathway in esophageal cancer (ESCA). Clinically, we conducted a pan-cancer investigation and identified TSPEAR-AS2 as a novel ESCA-related lncRNA that predicts a worse patient prognosis. The high expression of TSPEAR-AS2 was validated in multiple ESCA cohorts, demonstrating that this lncRNA had good diagnostic performance. METTL1, an RNA N7-methylguanosine (m7G) methyltransferase, was positively correlated with TSPEAR-AS2 expression in ESCA tissues, and METTL1 was found to induce TSPEAR-AS2 expression in ESCA cells. Functionally, the up-regulation of TSPEAR-AS2 promoted proliferation, cell cycle progression, migration, and stemness in ESCA cells, whereas its knockdown attenuated these malignant phenotypes. Furthermore, both TSPEAR-AS2 deficiency and antisense oligonucleotide (ASO)-based intratumoral intervention could significantly suppress tumor growth in vivo. Mechanistically, quantitative proteomic analysis revealed that TSPEAR-AS2 ablation altered the expression of functional proteins related to interferon signaling pathways, such as HLA-E, IRF3, and IFITs. These findings identify a previously unrecognized role of the METTL1/TSPEAR-AS2/interferon signaling axis in ESCA development and suggest that TSPEAR-AS2 is a potential prognostic indicator and therapeutic vulnerability for this malignancy.

Indexed as

Cell ProliferationEsophageal NeoplasmsGene Expression Regulation, NeoplasticMethyltransferasesRNA, Long NoncodingSignal TransductionAnimalsCell Line, TumorCell MovementFemaleHumansInterferonsMaleMicePrognosisInterferonsMethyltransferasesMETTL1 protein, humanRNA, Long NoncodingEsophageal cancerInterferon signalingMETTL1StemnessTSPEAR-AS2

Identifiers

PMID39567604
PMCPMC11579022

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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.