The fate and function of non-coding RNAs during necroptosis

Epigenomics, Год журнала: 2024, Номер 16(11-12), С. 901 - 915

Опубликована: Июнь 17, 2024

Necroptosis is a novel form of cell death which activated when apoptotic signals are disrupted. Accumulating body observations suggests that noncoding RNAs, the lately discovered mystery human genome, significantly associated with necroptotic signaling circuitry. The fate and function miRNAs have been well documented in disease, especially cancer. Recently, lncRNAs gained much attention due to their diverse regulatory functions. Although available studies currently based on bioinformatic analysis, predicted interactions desires further attention, as these hold significant promise should not be overlooked. In light these, here we comprehensively review discuss RNA molecules play roles during execution death.

Язык: Английский

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Necroptosis-related lncRNAs: biomarkers for predicting prognosis and immune response in lung adenocarcinoma

Translational Lung Cancer Research, Год журнала: 2024, Номер 13(10), С. 2713 - 2728

Опубликована: Окт. 1, 2024

Lung adenocarcinoma (LUAD) is one of the most prevalent types lung cancer (LC), accounting for 50% all LC cases. Despite therapeutic advancements, patients suffer from adverse drug reactions. Furthermore, prognosis remains poor. Necroptosis a novel mode cell death and critically involved in regulating immunotherapy patients. However, correlation between necroptosis-related long non-coding RNA (lncRNA) (necro-related lnc) signature (NecroLncSig) response with LUAD to unclear. This study developed model using lncRNAs predict LUAD.

Язык: Английский

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Identification of necroptosis-related subtypes, development of a novel signature, and characterization of immune infiltration in colorectal cancer

Frontiers in Immunology, Год журнала: 2022, Номер 13

Опубликована: Дек. 5, 2022

Necroptosis, a type of programmed cell death, has recently been extensively studied as an important pathway regulating tumor development, metastasis, and immunity. However, the expression patterns necroptosis-related genes (NRGs) in colorectal cancer (CRC) their potential roles microenvironment (TME) have not elucidated. We explored NRGs 1247 samples from genetics transcriptional perspective. Based on consensus clustering algorithm, we identified NRG molecular subtypes gene subtypes, respectively. Furthermore, constructed signature for predicting overall survival time verified predictive ability model. Using ESTIMATE, CIBERSORT, ssGSEA algorithms, assessed association between above scores immune infiltration. Most were differentially expressed CRC tissues normal tissues. found that distinct exhibited different expression, patients' prognosis, checkpoint infiltration characteristics. The calculated can be used to classify patients into high-risk low-risk groups, with group corresponding reduced function, greater risk dysfunction escape. Our comprehensive analysis demonstrated role clinicopathological features, TME. These findings help us deepen our understanding landscape, lay foundation effectively assessing patient outcomes promoting more effective immunotherapy.

Язык: Английский

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Necrotic related-lncRNAs: Prediction of prognosis and differentiation between cold and hot tumors in head and neck squamous cell carcinoma

Medicine, Год журнала: 2023, Номер 102(23), С. e33994 - e33994

Опубликована: Июнь 9, 2023

Treatment of head and neck squamous cell carcinoma (HNSCC) is a substantial clinical challenge due to the high local recurrence rate chemotherapeutic resistance. This project seeks identify new potential biomarkers prognosis prediction precision medicine improve this condition. A synthetic data matrix for RNA transcriptome datasets relevant information on HNSCC normal tissues was downloaded from Genotypic Tissue Expression Project The Cancer Genome Atlas (TCGA). necrosis-associated long-chain noncoding RNAs (lncRNAs) were identified by Pearson correlation analysis. Then 8-necrotic-lncRNA models in training, testing entire sets established through univariate Cox (uni-Cox) regression Lasso-Cox regression. Finally, prognostic ability model evaluated via survival analysis, nomogram, regression, clinicopathological receiver operating characteristic (ROC) curve. Gene enrichment principal component immune analysis risk group semi-maximum inhibitory concentration (IC 50 ) also conducted. Correlations between score infiltration, checkpoint molecules, somatic gene mutations, anti-cancer drug sensitivity analyzed. Eight lncRNAs (AC099850.3, AC243829.2, AL139095.4, SAP30L-AS1, C5orf66-AS1, LIN02084, LIN00996, MIR4435-2HG) developed patients. distribution, status, time, expression standards these compared low- high-risk groups sets. Kaplan–Meier showed low-risk patients had significantly better prognosis. ROC curves revealed an acceptable predictive value TCGA training stratified indicated that 8 factors independent various parameters. We recombined into 2 clusters Consensus ClusterPlus R package according expressions necrotic lncRNAs. Significant differences found IC clusters, suggesting characteristics can be used evaluate efficacy chemotherapy immunotherapy. may serve as signature provide clues individualized immunotherapy

Язык: Английский

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HtrA3: a promising prognostic biomarker and therapeutic target for head and neck squamous cell carcinoma

PeerJ, Год журнала: 2023, Номер 11, С. e16237 - e16237

Опубликована: Окт. 10, 2023

The dysregulation of the human high-temperature requirement A (HtrA) family serine proteases is associated with many malignancies. However, there are few reports on HtrAs in head and neck squamous cell carcinoma (HNSCC). aim this study was to investigate expression, prognostic value, biological functions HNSCC.The RNA-sequencing data clinical HNSCC were downloaded from Cancer Genome Atlas (TCGA) database. GSE30784 GSE31056 datasets Gene Expression Omnibus (GEO) database used for further verification. This explored differential expression assessed their potential impact prognosis patients using a survival module. Correlations between characteristics HtrA levels then Wilcoxon rank sum test. Ontology (GO), Kyoto Encyclopedia Genes Genomes (KEGG), Set Enrichment Analysis (GSEA) performed "clusterProfile" R software. Pearson/Spearman correlation test applied analyze relationship immune infiltration level/checkpoint genes. Validation carried out by RT-PCR western blot lines (Fadu Cal-27) non-tumorigenic bronchial epithelium cells (BEAS-2B). Finally, through transfection, CCK-8, Ki-67 immunofluorescence, flow cytometry assays, effect HtrA3 knockdown malignant behavior explored.The gene significantly upregulated patient age, TNM stage, TP53 mutation status TCGA-HNSCC cohort. High expressions HtrA1/3 shorter overall survival, progress-free interval, lower disease-specific HNSCC. nomogram constructed validated. HtrA-related genes enriched response apoptosis pathway. In addition, showed significant correlations B cells, M DC infiltration, checkpoint (CD276, TNFRSF14). blot. Results vitro experiments indicated that inhibits proliferation FaDu Cal-27 while concurrently promoting apoptosis.HtrA3 shows as both marker promising therapeutic target HNSCC, highlighting its relevance importance future research applications.

Язык: Английский

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