LncRNA DDX11-AS1 promotes breast cancer progression by targeting the miR-30c-5p/MTDH axis

Long noncoding RNAs (lncRNAs) play a significant role in the occurrence and development of malignant tumours. However, ceRNAs, which are significantly associated with the prognosis of breast cancer (BC), need to be further investigated. Therefore, the current study aimed to investigate the effect of the lncRNA DDX11-AS1 on BC progression. Bioinformatics analysis via a public microarray revealed that DDX11-AS1 was upregulated in BC. The above findings were verified via RT‒qPCR analysis of BC tissues. Additionally, our study revealed that the expression levels of DDX11-AS1 increased with increasing pathological grade and lymph node metastasis. Furthermore, DDX11-AS1 knockdown markedly inhibited the proliferation, migration and invasion abilities of BC cells. Mechanistically, DDX11-AS1 could prevent the degradation of MTDH in BC via competitively binding with miR-30c-5p, which could act as a tumour promoter factor. Additionally, miR-30c-5p was downregulated and MTDH was upregulated in BC cells and tissues. The promoting effect of DDX11-AS1 on BC cells was enhanced by miR-30c-5p silencing and reduced by treatment with MTDH inhibitors. Collectively, the above results suggest that the DDX11-AS1/miR-30c-5p/MTDH axis could be associated with the progression of BC and that DDX11-AS1 could be a potential biomarker and therapeutic target for BC.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-11-05
DOI
https://doi.org/10.1038/s41598-024-78413-3
Citations
2
Primary Topic
Cancer Mechanisms and Therapy
Type
article
Field-Weighted Citation Impact
0.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LncRNA DDX11-AS1 promotes breast cancer progression by targeting the miR-30c-5p/MTDH axis

Zhenchuan Song, Bin Xu, Haijun Zhao, Lixian Yang et al.
2 citations
Scientific Reports
Cancer Mechanisms and Therapy
0.85
article

LncRNA DDX11-AS1 promotes breast cancer progression by targeting the miR-30c-5p/MTDH axis

Zhenchuan Song, Bin Xu, Haijun Zhao, Lixian Yang, Yang Liu, Xiaolong Li, Shuo Liu, Yanting Li, Mengsi Zhou
article en
2 citations

Abstract

Long noncoding RNAs (lncRNAs) play a significant role in the occurrence and development of malignant tumours. However, ceRNAs, which are significantly associated with the prognosis of breast cancer (BC), need to be further investigated. Therefore, the current study aimed to investigate the effect of the lncRNA DDX11-AS1 on BC progression. Bioinformatics analysis via a public microarray revealed that DDX11-AS1 was upregulated in BC. The above findings were verified via RT‒qPCR analysis of BC tissues. Additionally, our study revealed that the expression levels of DDX11-AS1 increased with increasing pathological grade and lymph node metastasis. Furthermore, DDX11-AS1 knockdown markedly inhibited the proliferation, migration and invasion abilities of BC cells. Mechanistically, DDX11-AS1 could prevent the degradation of MTDH in BC via competitively binding with miR-30c-5p, which could act as a tumour promoter factor. Additionally, miR-30c-5p was downregulated and MTDH was upregulated in BC cells and tissues. The promoting effect of DDX11-AS1 on BC cells was enhanced by miR-30c-5p silencing and reduced by treatment with MTDH inhibitors. Collectively, the above results suggest that the DDX11-AS1/miR-30c-5p/MTDH axis could be associated with the progression of BC and that DDX11-AS1 could be a potential biomarker and therapeutic target for BC.

Scientific ReportsVol. 14(1)
Hebei Medical University (CN), Second Hospital of Hebei Medical University (CN), Fourth Hospital of Hebei Medical University (CN), Xingtai People's Hospital (CN), First Hospital of Shijiazhuang (CN)
Health Commission of Hebei Province, Natural Science Foundation of Hebei Province, Wu Jieping Medical Foundation
Good health and well-being
Openalex Percentile: Top 25%
Cancer Mechanisms and Therapy
0.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.