Overexpression of ZNF460 predicts worse survival and promotes metastasis through JAK2/STAT3 signaling pathway in patient with colon cancer

Hao, Tong; Xu, Jiannan; Fang, Sufen; Jiang, Jian; Chen, Xinyuan; Wu, Wenhui; Li, Liang; Li, Mingzhe; Zhang, Changhua

doi:10.7150/jca.55079

Cited by 16 publications

(11 citation statements)

References 31 publications

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“…The genes with the highest degree in the Co-DEmiRNA-Gene network include ZNF460 , FBN1 , CDK6 , BTG2, and CBX6 , which may be the essential hub genes/mediators between OSCC and PD. ZNF460 (zinc finger protein 460) is involved in the regulation of multiple cancer processes by JAK2/STAT3 pathway [ 39 ], and its high expression is associated with the proliferation, invasion, and metastasis of colorectal cancer and oral cancer [ 39 , 40 ]. FBN1 (fibrinin-1) is a common extracellular matrix encoding gene [ 41 ], and inactivation will affect the integrity of tissues (aortic wall, periodontal membrane, oral epithelial barrier, etc.).…”

Section: Discussionmentioning

confidence: 99%

Network analysis reveals miRNA crosstalk between periodontitis and oral squamous cell carcinoma

Wen

et al. 2023

BMC Oral Health

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Background Oral squamous cell carcinoma (OSCC) is one of the malignant tumors with a poor prognosis. Periodontitis (PD is considered a high-risk factor for OSCC, but the genetic mechanism is rarely studied. This study aims to link OSCC and PD by identifying common differentially expressed miRNAs (Co-DEmiRNAs), their related genes (Hub genes), transcription factors (TFs), signaling pathways, enrichment functions, and compounds, and searching for genetic commonalities. Methods The miRNAs expression datasets of OSCC and PD were searched from the GEO database. The miRNA and related crosstalk mechanism between OSCC and PD was obtained through a series of analyses. Results hsa-mir-497, hsa-mir-224, hsa-mir-210, hsa-mir-29c, hsa-mir-486-5p, and hsa-mir-31are the top miRNA nodes in Co-DEmiRNA-Target networks. The most significant candidate miRNA dysregulation genes are ZNF460, FBN1, CDK6, BTG2, and CBX6, while the most important dysregulation TF includes HIF1A, TP53, E2F1, MYCN, and JUN. 5-fluorouracil, Ginsenoside, Rh2, and Formaldehyde are the most correlated compounds. Enrichment analysis revealed cancer-related pathways and so on. Conclusions The comprehensive analysis reveals the interacting genetic and molecular mechanism between OSCC and PD, linking both and providing a foundation for future basic and clinical research.

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Section: Discussionmentioning

confidence: 99%

Network analysis reveals miRNA crosstalk between periodontitis and oral squamous cell carcinoma

Wen

et al. 2023

BMC Oral Health

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“…The top5 co-expressed coding genes with XLOC_033882 were SPDYE1, KCNJ13, TBC1D3B, ZNF460, and TAOK1. ZNF460 is a member of the ZNFs family, and overexpression of ZNF460 can predict worse survival in colon cancer ( 51 ). The mechanism of the functions of these four ITIR-lncRNAs needs to be further explored.…”

Section: Discussionmentioning

confidence: 99%

Identification and Validation of Immune-Related Long Non-Coding RNA Signature for Predicting Immunotherapeutic Response and Prognosis in NSCLC Patients Treated With Immunotherapy

Zhang²,

Yu³

2022

Front. Oncol.

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BackgroundNumerous studies have reported that long non-coding RNAs (lncRNAs) play important roles in immune-related pathways in cancer. However, immune-related lncRNAs and their roles in predicting immunotherapeutic response and prognosis of non-small cell lung cancer (NSCLC) patients treated with immunotherapy remain largely unexplored.MethodsTranscriptomic data from NSCLC patients were used to identify novel lncRNAs by a custom pipeline. ImmuCellAI was utilized to calculate the infiltration score of immune cells. The marker genes of immunotherapeutic response-related (ITR)-immune cells were used to identify immune-related (IR)-lncRNAs. A co-expression network was constructed to determine their functions. LASSO and multivariate Cox analyses were performed on the training set to construct an immunotherapeutic response and immune-related (ITIR)-lncRNA signature for predicting the immunotherapeutic response and prognosis of NSCLC. Four independent datasets involving NSCLC and melanoma patients were used to validate the ITIR-lncRNA signature.ResultsIn total, 7,693 novel lncRNAs were identified for NSCLC. By comparing responders with non-responders, 154 ITR-lncRNAs were identified. Based on the correlation between the marker genes of ITR-immune cells and lncRNAs, 39 ITIR-lncRNAs were identified. A co-expression network was constructed and the potential functions of 38 ITIR-lncRNAs were annotated, most of which were related to immune/inflammatory-related pathways. Single-cell RNA-seq analysis was performed to confirm the functional prediction results of an ITIR-lncRNA, LINC01272. Four-ITIR-lncRNA signature was identified and verified for predicting the immunotherapeutic response and prognosis of NSCLC. Compared with non-responders, responders had a lower risk score in both NSCLC datasets (P<0.05). NSCLC patients in the high-risk group had significantly shorter PFS/OS time than those in the low-risk group in the training and testing sets (P<0.05). The AUC value was 1 of responsiveness in the training set. In melanoma validation datasets, patients in the high-risk group also had significantly shorter OS/PFS time than those in the low-risk group (P<0.05). The ITIR-lncRNA signature was an independent prognostic factor (P<0.001).ConclusionThousands of novel lncRNAs in NSCLC were identified and characterized. In total, 39 ITIR-lncRNAs were identified, 38 of which were functionally annotated. Four ITIR-lncRNAs were identified as a novel ITIR-lncRNA signature for predicting the immunotherapeutic response and prognosis in NSCLC patients treated with immunotherapy.

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“…Literature-based functionality of these 14 DEPCGs showed that several of them were previously implicated in glioblastoma proliferation, invasiveness and treatment resistance ( Supplementary file S3 ), thereby explaining some of the pro-tumorigenic effects of DANCR. For the remaining seven DEPCGs (ZWILCH, RPGR, ZNF460, ZNF528, QTRT2, C5orf15 and CNTRL), no previous functional associations were found with glioblastoma progression, despite a number of them being associated with other cancer types [ 103 , 104 , 105 , 106 , 107 ]. Future investigations into potential previously unaddressed roles of these genes could reveal new players in glioblastoma pathogenesis.…”

Section: Discussionmentioning

confidence: 99%

Meta-Analysis of RNA-Seq Datasets Identifies Novel Players in Glioblastoma

Sallam

Mysara

Baatout

et al. 2022

Cancers

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Glioblastoma is a devastating grade IV glioma with poor prognosis. Identification of predictive molecular biomarkers of disease progression would substantially contribute to better disease management. In the current study, we performed a meta-analysis of different RNA-seq datasets to identify differentially expressed protein-coding genes (PCGs) and long non-coding RNAs (lncRNAs). This meta-analysis aimed to improve power and reproducibility of the individual studies while identifying overlapping disease-relevant pathways. We supplemented the meta-analysis with small RNA-seq on glioblastoma tissue samples to provide an overall transcriptomic view of glioblastoma. Co-expression correlation of filtered differentially expressed PCGs and lncRNAs identified a functionally relevant sub-cluster containing DANCR and SNHG6, with two novel lncRNAs and two novel PCGs. Small RNA-seq of glioblastoma tissues identified five differentially expressed microRNAs of which three interacted with the functionally relevant sub-cluster. Pathway analysis of this sub-cluster identified several glioblastoma-linked pathways, which were also previously associated with the novel cell death pathway, ferroptosis. In conclusion, the current meta-analysis strengthens evidence of an overarching involvement of ferroptosis in glioblastoma pathogenesis and also suggests some candidates for further analyses.

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Overexpression of ZNF460 predicts worse survival and promotes metastasis through JAK2/STAT3 signaling pathway in patient with colon cancer

Cited by 16 publications

References 31 publications

Network analysis reveals miRNA crosstalk between periodontitis and oral squamous cell carcinoma

Network analysis reveals miRNA crosstalk between periodontitis and oral squamous cell carcinoma

Identification and Validation of Immune-Related Long Non-Coding RNA Signature for Predicting Immunotherapeutic Response and Prognosis in NSCLC Patients Treated With Immunotherapy

Meta-Analysis of RNA-Seq Datasets Identifies Novel Players in Glioblastoma

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