A 15-lncRNA signature predicts survival and functions as a ceRNA in patients with colorectal cancer

Wang, Xuning; Zhou, Jianguo; Xu, Maolin; Yan, Yaohua; Huang, Liang; Kuang, Yanshen; Liu, Yuansheng; P, Li; Zheng, Wei; Liu, Hongyi; Jia, Baoqing

doi:10.2147/cmar.s178732

Cited by 55 publications

(60 citation statements)

References 32 publications

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“…In this study, we characterized that AC010789.1 was expressed at a low level in healthy tissues but a high level in CRC tissues. Also, the high expression of AC010789.1 was indicative of poor prognosis and associated with lymph node metastasis, which was consistent with previous studies (Wang X. et al, 2018).…”

Section: Discussionsupporting

confidence: 92%

LncRNA AC010789.1 Promotes Colorectal Cancer Progression by Targeting MicroRNA-432-3p/ZEB1 Axis and the Wnt/β-Catenin Signaling Pathway

Duan

Kong

et al. 2020

Front. Cell Dev. Biol.

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Accumulating literatures have indicated that long non-coding RNAs (lncRNAs) are crucial molecules in tumor progression in various human cancers, including colorectal cancer (CRC). However, the clinical significance and regulatory mechanism of a vast majority of lncRNAs in CRC remain to be determined. The current study aimed to explore the function and molecular mechanism of lncRNA AC010789.1 in CRC progression. AC010789.1 found to be overexpressed in CRC tissues and cells. High expression of AC010789.1 was associated with lymph node metastasis and poor prognosis. Moreover, AC010789.1 silencing inhibited proliferation, migration, invasion and epithelial-mesenchymal transition (EMT) in vitro as well as tumorigenesis and metastasis in vivo. Mechanistically, we demonstrated that repression of AC010789.1 promoted miR-432-3p expression, and miR-432-3p directly binds to ZEB1. We then proved the anti-tumor role of miR-432-3p in CRC, showing that the inhibitory effect of AC010789.1 knockdown on CRC cells was achieved by the upregulation of miR-432-3p but downregulation of ZEB1. We also established that silencing AC010789.1 suppressed the Wnt/β-catenin signaling pathway. However, this inhibitory effect was partially counteracted by inhibition of miR-432-3p. In summary, these results reveal that silencing AC010789.1 suppresses CRC progression via miR-432-3p-mediated ZEB1 downregulation and suppression of the Wnt/β-catenin signaling pathway, highlighting a potentially promising strategy for CRC treatment.

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Section: Discussionsupporting

confidence: 92%

LncRNA AC010789.1 Promotes Colorectal Cancer Progression by Targeting MicroRNA-432-3p/ZEB1 Axis and the Wnt/β-Catenin Signaling Pathway

Duan

Kong

et al. 2020

Front. Cell Dev. Biol.

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“…LncRNA is a transcript longer than 200 nucleotides that cannot be translated into proteins and is among the most prevalent transcriptional changes in tumour . In colon cancer, several prognostic predictive models have been developed based on lncRNAs . However, as none of them has been reported to provide potential treatment guidance, these models may not meet clinical needs.…”

Section: Introductionmentioning

confidence: 99%

A stroma‐related lncRNA panel for predicting recurrence and adjuvant chemotherapy benefit in patients with early‐stage colon cancer

Zhou

Sun

Zheng

et al. 2020

J Cellular Molecular Medi

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The heterogeneity in prognoses and chemotherapeutic responses of colon cancer patients with similar clinical features emphasized the necessity for new biomarkers that help to improve the survival prediction and tailor therapies more rationally and precisely. In the present study, we established a stroma‐related lncRNA signature (SLS) based on 52 lncRNAs to comprehensively predict clinical outcome. The SLS model could not only distinguish patients with different recurrence and mortality risks through univariate analysis, but also served as an independent factor for relapse‐free and overall survival. Compared with the conventionally used TNM stage system, the SLS model clearly possessed higher predictive accuracy. Moreover, the SLS model also effectively screened chemotherapy‐responsive patients, as only patients in the low‐SLS group could benefit from adjuvant chemotherapy. The following cell infiltration and competing endogenous RNA (ceRNA) network functional analyses further confirmed the association between the SLS model and stromal activation‐related biological processes. Additionally, this study also identified three phenotypically distinct colon cancer subtypes that varied in clinical outcome and chemotherapy benefits. In conclusion, our SLS model may be a significant determinant of survival and chemotherapeutic decision‐making in colon cancer and may have a strong clinical transformation value.

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“…LINC01354 is a long intergenic non‐protein‐coding RNA. Previous observations showed that LINC01354 participates in TP53 signaling pathways via hsa‐mir‐107 and hsa‐mir‐497‐5p in colorectal cancer, regulating CDK6 and CCNE1 , respectively . Notably, it was recently reported that LINC01354 dysregulation is related to genomic alterations in thyroid cancer .…”

Section: Discussionmentioning

confidence: 99%

Analysis of methylation‐driven genes for predicting the prognosis of patients with head and neck squamous cell carcinoma

Pan

Song

Cheng

et al. 2019

J of Cellular Biochemistry

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To help provide evidence for prognosis prediction and personalized targeted therapy for patients with head and neck squamous cell carcinoma (HNSCC), we investigated prognosis-specific methylation-driven genes in HNSCC. Survival time data, RNA sequencing data, and methylation data for HNSCC patients were downloaded from The Cancer Genome Atlas. The MethylMix R package based on the β mixture model was utilized to screen genes with different methylation statuses in tumor tissues and adjacent normal tissues, and a total of 182 HNSCC-related methylation-driven genes were then identified. A survival prediction scoring model based on multivariate Cox analysis was developed to screen the genes related to the prognosis of HNSCC, and a linear risk model of the methylation status of six genes (INA, LINC01354, TSPYL4, MAGEB2, EPHX3, and ZNF134) was constructed. The prognostic values of the six genes were further independently explored by survival analysis combined with methylation and gene expression analyses. The 5-year survival rate in the highrisk group of patients in the test set was 30.4% (95% CI: 22.7%-40.8%) and that in the low-risk group of patients was 65.5% (95% CI: 56.1%-76.5%). The area under the receiver operating characteristic curve for the model was 0.723, which further verified the specificity and sensitivity of the model. In addition, subsequent combined survival analysis revealed that all six genes could be used as independent prognostic markers and thus might be potential drug targets. The innovative method provides new insight into the molecular mechanism and prognosis of HNSCC. K E Y W O R D SDNA methylation-driven genes, epigenetics, HNSCC, prognostic risk model, survival analysis

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A 15-lncRNA signature predicts survival and functions as a ceRNA in patients with colorectal cancer

Cited by 55 publications

References 32 publications

LncRNA AC010789.1 Promotes Colorectal Cancer Progression by Targeting MicroRNA-432-3p/ZEB1 Axis and the Wnt/β-Catenin Signaling Pathway

LncRNA AC010789.1 Promotes Colorectal Cancer Progression by Targeting MicroRNA-432-3p/ZEB1 Axis and the Wnt/β-Catenin Signaling Pathway

A stroma‐related lncRNA panel for predicting recurrence and adjuvant chemotherapy benefit in patients with early‐stage colon cancer

Analysis of methylation‐driven genes for predicting the prognosis of patients with head and neck squamous cell carcinoma

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