Exploring the expression and clinical significance of the miR-140-3p-HOXA9 axis in colorectal cancer
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Published:2024-01-29
Issue:2
Volume:150
Page:
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ISSN:1432-1335
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Container-title:Journal of Cancer Research and Clinical Oncology
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language:en
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Short-container-title:J Cancer Res Clin Oncol
Author:
Cui WeiORCID, Bai XueliangORCID, Bai Zhongyuan, Chen Fengxin, Xu Jing, Bai WenqiORCID, Xi YanfengORCID
Abstract
Abstract
Purpose
This study aims to investigate the expression patterns and clinical significance of miR-140-3p and homeobox A9 (HOXA9) in colorectal cancer (CRC) selected by bioinformatic study, while elucidating their potential interplay.
Methods
The microRNA expression profiles of paired colorectal cancer and matched normal tissues were retrieved from the Gene Expression Omnibus Database. Differentially expressed microRNAs and microRNA candidates were filtered and subjected to further analysis. Clinicopathological data, along with paraffin-embedded samples of colorectal tumor tissues were collected to facilitate comprehensive analysis. Expression levels of miR-140-3p and HOXA9 were quantified using qRT-PCR and immunohistochemistry. Survival rates were determined using the Kaplan–Meier method, and the COX regression model was utilized to identify independent prognostic factors that impact the overall prognosis.
Results
MiR-140-3p was significantly downregulated in colorectal tumors compared to normal tissue, and HOXA9 was identified as a previously unreported potential downstream target. HOXA9 expression was elevated in tumors compared to normal tissues. Reduced miR-140-3p expression was associated with lymph node metastasis, while high HOXA9 expression correlated with both lymph node metastasis and lympho-vascular invasion. Patients with low miR-140-3p and high HOXA9 expression had a poorer prognosis. HOXA9 was identified as an independent risk factor for CRC patient survival.
Conclusion
The miR-140-3p-HOXA9 signaling disruption is closely linked to lymph node metastasis and unfavorable prognosis in CRC. This axis shows promise as a clinical biomarker for predicting the CRC patient survival and a potential therapeutic target.
Funder
Natural Science Foundation of Shanxi Province of China Shanxi Special Projects of the Central Government Guiding Local Science and Technology Development of China National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
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