The Complex Role of Mast Cells in Head and Neck Squamous Cell Carcinoma: A Systematic Review

Medicina, Journal Year: 2024, Volume and Issue: 60(7), P. 1173 - 1173

Published: July 19, 2024

: Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous malignancy influenced by various genetic environmental factors. Mast cells (MCs), typically associated with allergic responses, have recently emerged as key regulators of the HNSCC tumor microenvironment (TME). This systematic review explores role MCs in pathogenesis their potential prognostic markers therapeutic targets.

Language: Английский

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Identification and validation of a novel cuproptosis-related genes signature associated with prognosis, clinical implications and immunotherapy of hepatocellular carcinoma

Frontiers in Pharmacology, Journal Year: 2023, Volume and Issue: 14

Published: Feb. 9, 2023

Background: Cuproptosis is a novel type of regulated cell death and reported to promote tumor occurrence progression. However, whether cuproptosis-related signature has an impact on hepatocellular carcinoma (HCC) still unclear. Materials methods: We analyzed the transcriptome data HCC from The Cancer Genome Atlas (TCGA) International Consortium (ICGC) database, searched for types with different cuproptosis patterns through consistent clustering genes. then constructed Cuproptosis-Related Genes (CRGs)-based risk LASSO COX regression, further its prognosis, clinical characteristics, immune infiltration, drug sensitivity HCC. Results: identified expression changes 10 genes in HCC, all patients can be divided into two subtypes prognosis by applying consensus algorithm. five CRGs, which were highly correlated representative this gene set, namely G6PD, PRR11, KIF20A, EZH2, CDCA8. Patients low CRGs group had favorable prognosis. validated ICGC cohorts got results. Besides, we also discovered that was significantly associated variety landscapes sensitivity. Moreover, explored high more sensitive immunotherapy. Conclusion: Our integrative analysis demonstrated potential molecular applications model based precisely predict survival outcomes help better guide stratification treatment strategy patients.

Language: Английский

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Construction of a risk model and prediction of prognosis and immunotherapy based on cuproptosis-related LncRNAs in the urinary system pan-cancer

European journal of medical research, Journal Year: 2023, Volume and Issue: 28(1)

Published: June 27, 2023

Urinary pan-cancer system is a general term for tumors of the urinary including renal cell carcinoma (RCC), prostate cancer (PRAD), and bladder (BLCA). Their location, physiological functions, metabolism are closely related, making occurrence outcome these highly similar. Cuproptosis new type death that different from apoptosis plays an essential role in tumors. Therefore, it necessary to study molecular mechanism cuproptosis-related lncRNAs prognosis, clinical diagnosis, treatment tumors.In our study, we identified 35 co-expression (CRLs) system. 28 CRLs were as prognostic-related by univariate Cox regression analysis. Then 12 obtained using lasso multivariate cox analysis construct prognostic model. We divided patients into high- low-risk groups based on median risk scores. Next, Kaplan-Meier analysis, principal component (PCA), functional rich annotations, nomogram used compare differences between groups. Finally, prediction tumor immune dysfunction rejection, gene mutation, drug sensitivity discussed.Finally, candidate molecules identified. This model may be promising prognosis immunotherapy response patients.

Language: Английский

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The Prognosis and Immunotherapy Prediction Model of Ovarian Serous Cystadenocarcinoma Patient was Constructed Based on Cuproptosis-Related LncRNA

The Tohoku Journal of Experimental Medicine, Journal Year: 2023, Volume and Issue: 262(2), P. 63 - 74

Published: July 12, 2023

Cuproptosis can serve as potential prognostic predictors in patients with cancer. However, the role of this relationship ovarian serous cystadenocarcinoma (OV) remains unclear. 376 OV tumor samples were obtained from Cancer Genome Atlas (TCGA) database, and long non-coding RNAs (lncRNAs) related to cuproptosis through correlation analysis. The risk assessment model was further constructed by univariate Cox regression analysis LASSO regression. Bioinformatics used analyze regulatory effect relevant models on mutational burden (TMB) immune microenvironment. We 5 lncRNAs (AC025287.2, AC092718.4, AC112721.2, LINC00996, LINC01639) incorporated them into proportional hazards model. Kaplan-Meier (KM) curve prognosis found that high-risk group associated a poorer prognosis. receiver operating characteristic (ROC) showed stronger predictive power compared other clinicopathological features. Immune infiltration scores inversely correlated CD8+ T cells, CD4+ macrophages, NK B cells. Functional enrichment they may act via extracellular matrix (ECM)-interacting proteins pathways. successfully reliable cuproptosis-related lncRNA for OV.

Language: Английский

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Comprehensive analysis of cuproptosis genes and cuproptosis-related genes as prognosis factors in esophageal squamous cell carcinoma

Genomics, Journal Year: 2023, Volume and Issue: 115(6), P. 110732 - 110732

Published: Oct. 20, 2023

Esophageal squamous cell carcinoma (ESCC) is a common invasive and pernicious cancer with low five-year survival rate. To identify potential therapeutic targets, we first investigated the characteristics of cuproptosis genes (CUGs) in ESCC. The expression patterns 10 CUGs (FDX1, LIPT1, LIAS, DLAT, DLD, PDHA1, PDHB, GLS, MTF1, CDKN2A) were analyzed to ESCC-relevant targets. Weighted correlation network analysis (WGCNA) was performed obtain CUG-related (CRGs). A total seven differentially expressed identified CDKN2A). DLAT upregulated stage III, LIPT1 N0 + N1 cancers. high CDKN2A, related better overall survival, whereas LIAS clinical outcomes. WGCNA get (CRGs) showed three key modules that FDX1, LIPT1. Moreover, CRGs (BTLA, CT47A1, PRRX1) selected construct risk score model order predict prognosis patients Additionally, based on nomogram constructed it helped accurately ESCC; thus, maybe can be used for diagnosis results also milciclib might inhibit proliferation migration KYSE150 KYSE510 cells by targeting CDKN2A. In conclusion, abovementioned play crucial role tumorigenesis progression ESCC, indicating their as

Language: Английский

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Identification of cuproptosis-related genes in septic shock based on bioinformatic analysis

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0315219 - e0315219

Published: Dec. 9, 2024

Septic shock is a life-threatening condition characterized by failure of organ systems and high mortality rate. Cuproptosis new form cell death that triggered copper overload. However, the relationship between cuproptosis-related genes septic remains unclear. The GSE26440 dataset from GEO database was used to screen differentially expressed (DEGs) control samples. Additionally, hub related progression cuproptosis were screened Venn analysis. RT-qPCR utilized validate expression in peripheral blood lymphocytes patients healthy controls. Next, functional analysis immune cells infiltration performed. SLC31A1 MTF1 levels obviously elevated LIAS LIPT1 downregulated samples, compared normal diagnostic values four confirmed with receiver operating characteristic (ROC) curves. showed positive correlation natural killer exhibited CD8+ T cells. Furthermore, low-level groups, MAPK signaling activated high-SLC31A1 level group, VEGF high-MTF1 group lipoic acid metabolism high-LIAS high-LIPT1 groups. This study demonstrates SLC31A1, MTF1, LIAS, are dysregulated these exhibit potential efficacy shock, suggesting may be biomarkers for diagnosis shock.

Language: Английский

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Identification of lncRNAs involved in response to ionizing radiation in fibroblasts of long-term survivors of childhood cancer and cancer-free controls

Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13

Published: April 27, 2023

Long non-coding ribonucleic acids (lncRNAs) are involved in the cellular damage response following exposure to ionizing radiation as applied radiotherapy. However, role of lncRNAs concerning intrinsic susceptibility late effects has not been examined general or long-term survivors childhood cancer with and without potentially radiotherapy-related second primary cancers, particular.Primary skin fibroblasts (n=52 each) a first only (N1), at least one neoplasm (N2+), well tumor-free controls (N0) from KiKme case-control study were matched by sex, age, additionally year diagnosis entity cancer. Fibroblasts exposed 0.05 2 Gray (Gy) X-rays. Differentially expressed identified interaction terms for donor group dose. Weighted co-expression networks lncRNA mRNA constructed using WGCNA. Resulting gene sets (modules) correlated doses analyzed biological function.After irradiation 0.05Gy, few differentially (N0: AC004801.4; N1: PCCA-DT, AF129075.3, LINC00691, AL158206.1; N2+: LINC02315). In reaction Gy, number was higher 152, 169, 146). After AL109976.1 AL158206.1 prominently upregulated all groups. The analysis two modules containing that associated Gy (module1: 102 mRNAs 4 lncRNAs: AL158206.1, AL109976.1, AC092171.5, TYMSOS, p53-mediated DNA damage; module2: 390 mRNAs, 7 AC004943.2, AC012073.1, AC026401.3, AC092718.4, MIR31HG, STXBP5-AS1, TMPO-AS1, cell cycle regulation).For time, we differential expression analysis. revealed these regulation post-IR. These transcripts may be targets therapy against radiosensitivity, provide grounds identification at-risk patients immediate adverse reactions healthy tissues. With this work deliver broad basis new leads examination response.

Language: Английский

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Construction of a cuproptosis-tricarboxylic acid cycle-associated lncRNA model to predict the prognosis of non-small cell lung cancer

Translational Cancer Research, Journal Year: 2024, Volume and Issue: 13(12), P. 6807 - 6824

Published: Dec. 1, 2024

In cuproptosis, excess copper ions induce cell death via fatty acylation in the tricarboxylic acid (TCA) cycle. However, effects of cuproptosis-TCA-related long non-coding RNAs (lncRNAs) on clinical prognosis non-small lung cancer (NSCLC) and associated tumor microenvironment remain unclear. The purpose this study is to use cuproptosis-TCA related lncRNAs predict NSCLC. Molecular signature databases cuproptosis-related publications were made identifying genes. They identified based Pearson correlation analysis. prognostic features with these evaluated using absolute contraction selection operator a receiver operating characteristic curve Additionally, downstream functional enrichment immunoinfiltration analyzed examine immunotherapeutic responses patients Eleven cuproptosis-TCA-associated identified. A high-risk group was compared low-risk risk scores, had significantly lower overall survival (OS). We established profile, characteristics staging, nomogram constructed. An analysis revealed involvement pathways cellular humoral immunity acylation. Risk scores differed immune cells (antigen-presenting co-stimulation). Moreover, TP53, TTN, MUC16 mutation status strongly as having higher NSCLC being more responsive immunotherapy. can be used patients, thereby providing new theoretical basis for

Language: Английский

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Construction of a Risk Model and Prediction of prognosis and immunotherapy Based on Cuproptosis-Related LncRNAs in the Urinary System Pan-Cancer

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

Published: Feb. 14, 2023

Abstract BACKGROUND : Urinary pan-cancer system is a general term for tumors of the urinary including renal cell carcinoma (RCC), prostate cancer (PRAD), and bladder (BLCA). Their location, physiological functions, metabolism are closely related, making occurrence outcome these highly similar. Cuproptosis new type death that different from apoptosis plays an essential role in tumors. Therefore, it necessary to study molecular mechanism cuproptosis-related lncRNAs prognosis, clinical diagnosis, treatment METHOD In our study, we identified 35 co-expression (CRLs) system. 28 CRLs were identified as prognostic-related by univariate Cox regression analysis. Then 11 obtained using lasso multivariate cox analysis construct prognostic model. We divided patients into high low-risk groups based on median risk scores. Next, Kaplan-Meier analysis, principal component (PCA), functional rich annotations, nomogram used compare differences between groups. Finally, prediction tumor immune dysfunction rejection, gene mutation, drug sensitivity discussed. CONCLUSION candidate molecules identified. This model may be promising prognosis immunotherapy response patients.

Language: Английский

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AVPR2 is a potential prognostic biomarker and correlated with immune infiltration in head and neck squamous cell carcinoma

BMC Medical Genomics, Journal Year: 2023, Volume and Issue: 16(1)

Published: March 30, 2023

To explore the potential of AVPR2 in immunotherapy head and neck squamous cell carcinoma (HNSCC), thus providing insights into a novel antitumour strategy.In this study, we performed comprehensive analysis gene HNSCC using public datasets from The Cancer Genome Atlas Gene Expression Omnibus. We explored molecular mechanism clinical prognosis tumour immunity aspects expression, prognosis, immune subtypes, infiltration.AVPR2 expression was significantly downregulated primary tissue compared with normal tissue. patients high had better prognosis. Moreover, results GSEA showed that subtype surface is involved modulation. Furthermore, significant strong correlations between infiltrating cells existed HNSCC, marker genes were also related to HNSCC. These suggest can influence infiltration cells. Finally, found only levels B-cell infiltration, rather than those other cells, predict longer overall survival Future studies are needed role tumour-infiltrating B HNSCC.The may be prognostic biomarker play modulation, regulation by key link.

Language: Английский

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