lncRNA TRHDE-AS1 correlated with genomic landscape and clinical outcome in glioma DOI Creative Commons
Jinxuan Xie, Yi Lin, Yajie Li

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: March 13, 2023

Abstract Background The role of lncRNA in cancer development has received more and attention researches. A variety lncRNAs are associated with the occurrence glioma. However, TRHDE-AS1 glioma is still unknown. Result In this study, we explored through bioinformatics methods. We first identified an association between tumor prognosis a pan-cancer analysis. Subsequently, expression levels various clinical types were compared, significant differences found pathological classification, WHO molecular IDH mutation age stratification. analyzed genes co-expressed functional analysis TRHDE-AS1, that may be involved regulation synapse-related functions. driver gene correlation analysis, it was also significantly correlated multiple such as TP53, BRAF, IDH1. By comparing mutant profiles high low groups, there TP53 CIC mutations low-grade gliomas. Subsequent immune microenvironment showed level cells. Conclusion Therefore, believe ability to predict biomarker

Language: Английский

Distinct 5-methylcytosine profiles of LncRNA in breast cancer brain metastasis DOI Creative Commons
Song Wang,

Jianran Guo,

Xinmiao Xian

et al.

BMC Cancer, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 27, 2025

Recent studies have identified a complex relationship between methylation patterns and the development of various cancers. Breast cancer (BC) is second leading cause mortality among women. Approximately 5–20% BC patients are at risk brain metastases (BCBM). Although 5-methylcytosine (m5C) has been as an important regulatory modifier, its distribution in BCBM not well understood. This study aimed to investigate m5C BCBM. Samples from (231-BR cells) (MDA-MB-231 groups were subjected comprehensive analysis long non-coding RNA (lncRNA) using methylated immunoprecipitation next-generation sequencing (MeRIP-seq). The expression levels genes adjacent tissues verified through quantitative real-time polymerase chain reaction (RT-qPCR). Enrichment pathway analyses Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) predict potential functions MeRIP-seq 23,934 peaks 21,236 BC. A total 9,480 annotated (BCBM) 8,481 mapped. Notably, 1,819 sites lncRNA upregulated BCBM, whereas 2,415 Significant hypermethylated lncRNAs included ENST00000477316, ENST00000478098 uc002gtt.1, hypomethylated ENST00000600912, ENST00000493668, ENST00000544651 ENST00000464989. These results by qPCR MeRIP-qPCR Considering strong association regulators lncRNA, we examined 13 observed significant differences normal tissues. In addition, interaction altered differentially expressed vitro was analyzed. GO KEGG pathways revealed that significantly associated with linked signaling pathways. uncovered variations compared findings provide new theoretical understanding mechanisms

Language: Английский

Citations

1
The super-enhancer regulatory gene SH2D1A promotes the progression of T cell acute lymphoblastic leukemia by activating CHI3L2 DOI

Wanyan Jiao,

Juanjuan Yu,

Zi-Mu Zhang

et al.

Cellular Signalling, Journal Year: 2025, Volume and Issue: 132, P. 111810 - 111810

Published: April 14, 2025

Language: Английский

Citations

0
A comprehensive insight into the role of small nucleolar RNAs (snoRNAs) and SNHGs in human cancers DOI

Huldani Huldani,

Kumaraswamy Gandla, Mohammed Asiri

et al.

Pathology - Research and Practice, Journal Year: 2023, Volume and Issue: 249, P. 154679 - 154679

Published: July 16, 2023

Language: Английский

Citations

8
Glucocorticoid Receptor Regulates and Interacts with LEDGF/p75 to Promote Docetaxel Resistance in Prostate Cancer Cells DOI Creative Commons

Evelyn S. Sanchez-Hernández,

Pedro T. Ochoa,

Tise Suzuki

et al.

Cells, Journal Year: 2023, Volume and Issue: 12(16), P. 2046 - 2046

Published: Aug. 11, 2023

Patients with advanced prostate cancer (PCa) invariably develop resistance to anti-androgen therapy and taxane-based chemotherapy. Glucocorticoid receptor (GR) has been implicated in PCa resistance; however, the mechanisms underlying GR-mediated chemoresistance remain unclear. Lens epithelium-derived growth factor p75 (LEDGF/p75, also known as PSIP1 DFS70) is a glucocorticoid-induced transcription co-activator chemoresistance. We investigated contribution of GR–LEDGF/p75 axis docetaxel (DTX)-resistance cells. GR silencing DTX-sensitive -resistant cells decreased LEDGF/p75 expression, upregulation enzalutamide-resistant correlated increased expression. ChIP-sequencing revealed binding sites promoter. STRING protein–protein interaction analysis indicated that belong same transcriptional network, immunochemical studies demonstrated their co-immunoprecipitation co-localization DTX-resistant The modulators exicorilant relacorilant sensitivity chemoresistant DTX-induced cell death, this effect was more pronounced upon silencing. RNA-sequencing or knockdown transcriptomic overlap targeting signaling pathways associated survival proliferation, cancer, resistance. These implicate provide pre-clinical rationale for developing novel therapeutic strategies PCa.

Language: Английский

Citations

7
Construction of an immune-related prognostic signature and lncRNA–miRNA–mRNA ceRNA network in acute myeloid leukemia DOI Creative Commons
Ling Qin,

Boya Li,

Shijie Wang

et al.

Journal of Leukocyte Biology, Journal Year: 2024, Volume and Issue: 116(1), P. 146 - 165

Published: Feb. 23, 2024

Abstract The progression of acute myeloid leukemia (AML) is influenced by the immune microenvironment in bone marrow and dysregulated intracellular competing endogenous RNA (ceRNA) networks. Our study utilized data from UCSC Xena, Cancer Genome Atlas Program, Gene Expression Omnibus, Immunology Database Analysis Portal. Using Cox regression analysis, we identified an immune-related prognostic signature. Genomic analysis messenger (mRNA) was conducted through Set (GSCA), a ceRNA network constructed using Encyclopedia Interactomes. Correlations between signature mRNAs cell infiltration, checkpoints, drug sensitivity were assessed R software, gene expression profiling interactive (GEPIA), CellMiner, respectively. Adhering to hypothesis, established potential long noncoding (lncRNA)/microRNA (miRNA)/mRNA regulatory axis. findings pinpointed 9 (KIR2DL1, CSRP1, APOBEC3G, CKLF, PLXNC1, PNOC, ANGPT1, IL1R2, IL3RA). GSCA revealed impact copy number variations methylation on AML. comprised 14 differentially expressed lncRNAs (DE-lncRNAs), 6 DE-miRNAs, 3 DE-mRNAs. Correlation analyses linked these mRNAs’ 22 types with 27 antitumor drugs. Finally, LINC00963/hsa-miR-431-5p/CSRP1 This offers innovative insights for AML diagnosis treatment novel Identified biomarkers, including 2 (CKLF, PNOC), 1 miRNA (hsa-miR-323a-3p), 10 (SNHG25, LINC01857, AL390728.6, AC127024.5, Z83843.1, AP002884.1, AC007038.1, AC112512, AC020659.1, AC005921.3) present promising candidates as targets precision medicine, contributing ongoing advancements field.

Language: Английский

Citations

1
lncRNA TRHDE-AS1 Correlated with Genomic Landscape and Clinical Outcome in Glioma DOI Open Access
Jinxuan Xie, Yi Lin, Yajie Li

et al.

Genes, Journal Year: 2023, Volume and Issue: 14(5), P. 1052 - 1052

Published: May 8, 2023

The role of lncRNA in cancer development has received more and attention research. A variety lncRNAs are associated with the occurrence glioma. However, TRHDE-AS1 glioma is still unknown. In this study, we explored through bioinformatic methods. We first identified an association between tumor prognosis pan-cancer analysis. Subsequently, expression levels various clinical types were compared, significant differences found pathological classification, WHO molecular IDH mutation, age stratification. analyzed genes co-expressed functional analysis TRHDE-AS1, that may be involved regulation synapse-related functions. driver gene correlation analysis, it was also significantly correlated multiple such as TP53, BRAF, IDH1. By comparing mutant profiles high low groups, there TP53 CIC mutations low-grade gliomas. Subsequent immune microenvironment showed level a cells. Therefore, believe ability to predict biomarker

Language: Английский

Citations

2
Genome-wide profiling of long non-coding RNA following ozone exposure: a randomized, controlled exposure trial DOI
Ying Fang, Xihao Du,

X. Ji

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: unknown, P. 120101 - 120101

Published: Oct. 1, 2024

Language: Английский

Citations

0
Identification of candidate plasma miRNA biomarkers for the diagnosis of head and neck squamous cell carcinoma DOI Creative Commons
Weixing Liu, Yue Liu, Pei Li

et al.

Future Science OA, Journal Year: 2023, Volume and Issue: 10(1)

Published: Nov. 22, 2023

Aim: Current head and neck squamous cell carcinoma (HNSCC) diagnostic tools are limited, so this study aimed to identify microRNA (miRNA) biomarkers from plasma. Materials & methods: A total of 76 HNSCC noncancerous control (NC) plasma samples underwent microarray analysis quantitative reverse transcription PCR screen for miRNAs. The potential the miRNAs was evaluated by receiver operating characteristic curve. Results: miR-95-3p miR-579-5p expression shown be significantly upregulated, that miR-1298-3p downregulated in patients compared with controls. final panel included miR-95-3p, an area under curve 0.83. Conclusion: This three-miRNA has diagnosis HNSCC.

Language: Английский

Citations

1
lncRNA TRHDE-AS1 correlated with genomic landscape and clinical outcome in glioma DOI Creative Commons
Jinxuan Xie, Yi Lin, Yajie Li

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: March 13, 2023

Abstract Background The role of lncRNA in cancer development has received more and attention researches. A variety lncRNAs are associated with the occurrence glioma. However, TRHDE-AS1 glioma is still unknown. Result In this study, we explored through bioinformatics methods. We first identified an association between tumor prognosis a pan-cancer analysis. Subsequently, expression levels various clinical types were compared, significant differences found pathological classification, WHO molecular IDH mutation age stratification. analyzed genes co-expressed functional analysis TRHDE-AS1, that may be involved regulation synapse-related functions. driver gene correlation analysis, it was also significantly correlated multiple such as TP53, BRAF, IDH1. By comparing mutant profiles high low groups, there TP53 CIC mutations low-grade gliomas. Subsequent immune microenvironment showed level cells. Conclusion Therefore, believe ability to predict biomarker

Language: Английский

Citations

0