Evidence map›Paper›PMID 39150441›Full record

ArticleTechnology in cancer research & treatment

LncRNA NONHSAT227443.1 Confers Esophageal Squamous Cell Carcinoma Chemotherapy Resistance by Activating PI3K/AKT Signaling via Targeting MRTFB.

Yuchen Wang, Yingying Wang, Jinze Zhang, Zhihua Shi, Junfeng 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.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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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

5 authors.

Yuchen WangDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China.
Yingying WangDepartment of Functional Region of Diagnosis, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Jinze ZhangDepartment of Thoracic Endoscopy Room, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Zhihua ShiDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China.
Junfeng LiuDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China.ORCID 0009-0000-6946-8953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEsophageal cancer presents significant challenges due to limited treatment options and poor prognosis, particularly in advanced stages. Dysregulated long non-coding RNAs (lncRNAs) are implicated in cancer progression and treatment resistance. This study investigated the roles of dysregulated lncRNA NONHSAT227443.1, identified through lncRNA-seq, and its downstream target gene MRTFB in esophageal squamous cell carcinoma (ESCC).

methodsDysregulated lncRNAs were identified through lncRNA-seq in esophageal cancer tissues with varying chemotherapy response. The regulatory interaction of overexpressed NONHSAT227443.1 was assessed using quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting. Functional assays, including cell viability, cell proliferation, and flow cytometry analyses, were performed to comprehensively investigate the influence of NONHSAT227443.1 and its downstream molecules on ESCC.

resultsNONHSAT227443.1 was significantly overexpressed in paclitaxel plus platinum chemotherapy non-responders and esophageal cancer cell lines. Chemotherapy exposure led to diminished NONHSAT227443.1 expression. NONHSAT227443.1 negatively regulated MRTFB expression, and their combined dysregulation correlated with increased cancer activity, proliferation, and suppressed apoptosis. Diminished MRTFB expression was associated with PI3K/AKT pathway activation.

conclusionOur study provides insights into NONHSAT227443.1 and MRTFB roles in esophageal cancer, contributing to aggressive traits and treatment resistance. NONHSAT227443.1 and MRTFB may serve as potential therapeutic targets to enhance the response to paclitaxel plus platinum chemotherapy in non-responsive cases.

Indexed as

ApoptosisCell ProliferationDrug Resistance, NeoplasmEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaGene Expression Regulation, NeoplasticPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA, Long NoncodingSignal TransductionBiomarkers, TumorCell Line, TumorHumansTranscription FactorsBiomarkers, TumorPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA, Long NoncodingTranscription Factorschemotherapy resistanceesophageal cancerMRTFBNONHSAT227443.1

Identifiers

PMID39150441
PMCPMC11329966

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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.