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  • Hindawi Limited  (3)
  • Li, Mingxiao  (3)
  • 2020-2024  (3)
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  • Hindawi Limited  (3)
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Language
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  • 2020-2024  (3)
Year
  • 1
    Online Resource
    Online Resource
    Construction of Bone Metastasis-Specific Regulation Network Based on Prognostic Stemness-Related Signatures in Prostate Cancer
    Hindawi Limited ; 2022
    In:  Disease Markers Vol. 2022 ( 2022-3-29), p. 1-27
    Details
    In: Disease Markers, Hindawi Limited, Vol. 2022 ( 2022-3-29), p. 1-27
    Abstract: Background. We planned to uncover the cancer stemness-related genes (SRGs) in prostate cancer (PCa) and its underlying mechanism in PCa metastasis. Methods. We acquired the RNA-seq data of 406 patients with PCa from the TCGA database. Based on the mRNA stemness index (mRNAsi) calculated by one-class logistic regression (OCLR) algorithm, SRGs in PCa were extracted by WGCNA. Univariate and multivariate regression analyses were applied to uncover OS-associated SRGs. Gene Set Variation Analysis (GSVA), Gene Set Enrichment Analysis (GSEA), and Pearson’s correlation analysis were performed to discover the possible mechanism of PCa metastasis. The significantly correlated transcription factors of OS-associated SRGs were also identified by Pearson’s correlation analysis. ChIP-seq was applied to validate the binding relationship of TFs and OS-associated SRGs and spatial transcriptome and single-cell sequencing were performed to uncover the location of key biomarkers expression. Lastly, we explored the specific inhibitors for SRGs using CMap algorithm. Results. We identified 538 differentially expressed genes (DEGs) between non-metastatic and metastatic PCa. Furthermore, OS-associated SRGs were identified. The Pearson correlation analysis revealed that FOXM1 was significantly correlated with NEIL3 (correlation efficient =0.89, p 〈 0.001 ) and identified hallmark_E2F_targets as the potential pathway mechanism of NEIL3 promoting PCa metastasis (correlation efficient =0.58, p 〈 0.001 ). Single-cell sequencing results indicated that FOXM1 regulating NEIL3 may get involved in the antiandrogen resistance of PCa. Rottlerin was discovered to be a potential target drug for PCa. Conclusion. We constructed a regulatory network based on SRGs associated with PCa metastasis and explored possible mechanism.
    Type of Medium: Online Resource
    ISSN: 1875-8630 , 0278-0240
    URL: Article
    DOI: 10.1155/2022/8495923
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2033253-1
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    Online Resource
  • 2
    Online Resource
    Online Resource
    The Role of Peroxisome Proliferator-Activated Receptors (PPARs) in Pan-Cancer
    Hindawi Limited ; 2020
    In:  PPAR Research Vol. 2020 ( 2020-09-22), p. 1-19
    Details
    In: PPAR Research, Hindawi Limited, Vol. 2020 ( 2020-09-22), p. 1-19
    Abstract: Peroxisome proliferator-activated receptors (PPARs) are members of nuclear transcription factors. The functions of the PPAR family (PPARA, PPARD, and PPARG) and their coactivators (PPARGC1A and PPARGC1B) in maintenance of lipid and glucose homeostasis have been unveiled. However, the roles of PPARs in cancer development remain elusive. In this work, we made use of 11,057 samples across 33 TCGA tumor types to analyze the relationship between PPAR transcriptional expression and tumorigenesis as well as drug sensitivity. We performed multidimensional analyses on PPARA, PPARG, PPARD, PPARGC1A, and PPARGC1B, including differential expression analysis in pan-cancer, immune subtype analysis, clinical analysis, tumor purity analysis, stemness correlation analysis, and drug responses. PPARs and their coactivators expressed differently in different types of cancers, in different immune subtypes. This analysis reveals various expression patterns of the PPAR family at a level of pan-cancer and provides new clues for the therapeutic strategies of cancer.
    Type of Medium: Online Resource
    ISSN: 1687-4757 , 1687-4765
    URL: Article
    DOI: 10.1155/2020/6527564
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2237981-2
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  • 3
    Online Resource
    Online Resource
    Ral GEF with the PH Domain and SH3 Binding Motif 1 Regulated by Splicing Factor Junction Plakoglobin and Pyrimidine Metabolism Are Prognostic in Uterine Carcinosarcoma
    Hindawi Limited ; 2021
    In:  Disease Markers Vol. 2021 ( 2021-10-28), p. 1-17
    Details
    In: Disease Markers, Hindawi Limited, Vol. 2021 ( 2021-10-28), p. 1-17
    Abstract: Uterine carcinosarcoma (UCS) is a highly invasive malignant tumor that originated from the uterine epithelium. Many studies suggested that the abnormal changes of alternative splicing (AS) of pre-mRNA are related to the occurrence and metastasis of the tumor. This study investigates the mechanism of alternative splicing events (ASEs) in the tumorigenesis and metastasis of UCS. RNA-seq of UCS samples and alternative splicing event (ASE) data of UCS samples were downloaded from The Cancer Genome Atlas (TCGA) and TCGASpliceSeq databases, several times. Firstly, we performed the Cox regression analysis to identify the overall survival-related alternative splicing events (OSRASEs). Secondly, a multivariate model was applied to approach the prognostic values of the risk score. Afterwards, a coexpressed network between splicing factors (SFs) and OSRASEs was constructed. In order to explore the relationship between the potential prognostic signaling pathways and OSRASEs, we fabricated a network between these pathways and OSRASEs. Finally, validations from multidimension platforms were used to explain the results unambiguously. 1,040 OSRASEs were identified by Cox regression. Then, 6 OSRASEs were incorporated in a multivariable model by Lasso regression. The area under the curve (AUC) of the receiver operator characteristic (ROC) curve was 0.957. The risk score rendered from the multivariate model was corroborated to be an independent prognostic factor ( P 〈 0.001 ). In the network of SFs and ASEs, junction plakoglobin (JUP) noteworthily regulated RALGPS1-87608-AT ( P 〈 0.001 , R = 0.455 ). Additionally, RALGPS1-87608-AT ( P = 0.006 ) showed a prominent relationship with distant metastasis. KEGG pathways related to prognosis of UCS were selected by gene set variation analysis (GSVA). The pyrimidine metabolism ( P 〈 0.001 , R = − 0.470 ) was the key pathway coexpressed with RALGPS1. We considered that aberrant JUP significantly regulated RALGPS1-87608-AT and the pyrimidine metabolism pathway might play a significant part in the metastasis and prognosis of UCS.
    Type of Medium: Online Resource
    ISSN: 1875-8630 , 0278-0240
    URL: Article
    DOI: 10.1155/2021/1484227
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2033253-1
    Location Call Number Limitation Availability
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    Online Resource
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