Development and validation of a necroptosis-related gene prognostic score to predict prognosis and efficiency of immunotherapy in gastric cancer DOI Creative Commons
Yanxia Ma, Rongzheng Zhang, Mingzhu Wang

et al.

Frontiers in Immunology, Journal Year: 2022, Volume and Issue: 13

Published: Aug. 26, 2022

Necroptosis is a novel type of regulated cell death that intimately associated with variety tumors. However, how necroptosis affects the identification gastric cancer (GC) remains unclear. Here we seek to find new potential necroptosis-related biomarkers predict GC prognosis and immunotherapy effect. We used Cox analysis obtain shared prognostic markers related from five datasets (TCGA four GEO datasets). Then, gene score (NRGPS) system was constructed using LASSO regression, NRGPS consisting three mRNAs (AXL, RAI14, NOX4) identified, 31 pairs adjacent normal tissues Second Hospital Harbin Medical University were collected Real-Time Quantitative PCR (RT-qPCR) detect relative expression levels mRNAs, external validation performed on (GSE84437, GSE26901, GSE62254 GSE15459). In this study, Overall survival (OS) in high-NRGPS group significantly lower than low-NRGPS group. regression analyses showed an independent variable. Tumor-mutation-burden (TMB), tumor microenvironment (TME), microsatellite instability (MSI), Tumor Immune Dysfunction Exclusion (TIDE) scoring as predictors response. A cancer-friendly immune microenvironment, high TIDE score, low TMB, MSI all characteristics group, they consistently issues seen there are escape GC. The combination candidate genes may be effective method for diagnostic assessment efficacy.

Language: Английский

Toll-like receptor 3: a double-edged sword DOI Creative Commons

Minnie Hsieh,

Daisuke Nishizaki, Jacob J. Adashek

et al.

Biomarker Research, Journal Year: 2025, Volume and Issue: 13(1)

Published: Feb. 23, 2025

Language: Английский

Citations

3
Cell death affecting the progression of gastric cancer DOI Creative Commons
Haoying Wang, Mengxiao Liu, Xi Zeng

et al.

Cell Death Discovery, Journal Year: 2022, Volume and Issue: 8(1)

Published: Aug. 29, 2022

Gastric cancer is a gastrointestinal tumor with high morbidity and mortality rates. Several factors influence its progression, cell death being an important element. In this review, we summarized the effects of necrosis, apoptosis, necroptosis, pyroptosis, ferroptosis, eight less common modalities on gastric cells microenvironment, detailed molecular mechanisms various their major regulatory pathways in cancer, explored prevalence complexity progression highlighted potentials death-related therapies cancer.

Language: Английский

Citations

34
Identification and Verification of Necroptosis-Related Gene Signature and Associated Regulatory Axis in Breast Cancer DOI Creative Commons
Ting Hu,

Xiangwang Zhao,

Yanxia Zhao

et al.

Frontiers in Genetics, Journal Year: 2022, Volume and Issue: 13

Published: Feb. 16, 2022

Background: Breast invasive carcinoma (BRCA) is the second leading cause of malignancy death among women. Necroptosis a newly discovered mechanism cell involved in progression and prognosis cancer. The role necroptosis-related genes (NRGs) BRCA still mystery. Methods: LASSO Cox regression analysis was performed to construct prognostic signature. A ceRNA constructed explore potential lncRNA-miRNA-mRNA regulatory axis BRCA. Results: total 63 were differentially expressed We also summarized genetic mutation landscape NRGs patients with low expression BCL2 LEF1, as well high PLK1 BNIP3, had poor OS, DSS, DFS. signature four (BCL2, PLK1, BNIP3) constructed, it could serve biomarker BRCA, predicting OS rate medium accuracy. Moreover, risk score correlated immune infiltration Further comprehensive revealed that BCL2, BNIP3 tumor burden, microsatellite instability, drug sensitivity, pathology stage. Previous studies have been extensively studied. roles selected for further analysis. then network, which identified an lncRNA LINC00665/miR-181c-5p/BCL2 Conclusion: bioinformatics method develop containing network vivo vitro should be conducted verify these results.

Language: Английский

Citations

30
A Novel Defined PANoptosis-Related miRNA Signature for Predicting the Prognosis and Immune Characteristics in Clear Cell Renal Cell Carcinoma: A miRNA Signature for the Prognosis of ccRCC DOI Open Access
Yanmei Wang, Jia Zhou, Nan Zhang

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(11), P. 9392 - 9392

Published: May 28, 2023

Clear cell renal carcinoma (ccRCC) is one of the most prevalent cancers, and PANoptosis a distinct, inflammatory-programmed death regulated by PANoptosome. The essential regulators cancer occurrence progression are microRNAs (miRNAs). However, potential function PANoptosis-related (PRMs) in ccRCC remains obscure. This study retrieved samples from Cancer Genome Atlas database three Gene Expression Omnibus datasets. PRMs were recognized based on previous reports scientific literature. Regression analyses used to identify prognosis construct miRNA prognostic signature risk score. We discovered that high-risk patients had poorer survival prognoses significantly linked high-grade advanced-stage tumors, using variety R software packages web analysis tools. Furthermore, we demonstrated low-risk group significant changes their metabolic pathways. In contrast, was characterized high immune infiltration, checkpoint expression, low half-maximum inhibition concentration (IC50) values chemotherapeutic agents. suggests may benefit more immunotherapy chemotherapy. conclusion, constructed microRNA revealed its significance clinicopathological features tumor immunity, thereby providing new precise treatment strategies.

Language: Английский

Citations

14
Prognosis analysis of necroptosis-related genes in colorectal cancer based on bioinformatic analysis DOI Creative Commons
Xiaojie Liang, Zhaoxiang Cheng, Xinhao Chen

et al.

Frontiers in Genetics, Journal Year: 2022, Volume and Issue: 13

Published: Aug. 15, 2022

Background: Colorectal cancer (CRC) is one gastrointestinal malignancy, accounting for 10% of diagnoses and cancer-related deaths worldwide each year. Therefore, it urgent to identify genes involved in CRC predicting the prognosis. Methods: CRC's data were acquired from Gene Expression Omnibus (GEO) database (GSE39582 GSE41258 datasets) The Cancer Genome Atlas (TCGA) database. differentially expressed necroptosis-related (DENRGs) sorted out between tumor normal tissues. Univariate Cox regression analysis least absolute shrinkage selectionator operator (LASSO) applied selected DENRGs concerning patients' overall survival construct a prognostic biomarker. effectiveness this biomarker was assessed by Kaplan-Meier curve receiver operating characteristic (ROC) analysis. GSE39582 dataset utilized as external validation signature. Moreover, using univariate multivariate analyses, independent factors identified nomogram. Next, signaling pathways regulated signature explored through gene set enrichment (GSEA). single sample (ssGSEA) algorithm immune dysfunction exclusion (TIDE) used explore correlation two groups, high-risk low-risk ones. Finally, genes' expression examined dataset. Results: In total, 27 filtered, based on 6 constructed, which may better understand (OS) CRC. manifested signature, ROC showed same result. addition, analyses revealed that age, pathology T, risk score factors, nomogram established. Furthermore, most significantly associated with apoptosis pathway. Meanwhile, 24 cells represented significant differences like activated B cell. 32 checkpoints, TIDE scores, PD-L1 T-cell scores different groups. 6-gene levels samples Conclusion: Our study established including could assess prognosis patients

Language: Английский

Citations

20
TLR3 activation enhances abscopal effect of radiotherapy in HCC by promoting tumor ferroptosis DOI Creative Commons
Liman Qiu, Hongbing Ji, K. Wang

et al.

EMBO Molecular Medicine, Journal Year: 2024, Volume and Issue: 16(5), P. 1193 - 1219

Published: April 26, 2024

Language: Английский

Citations

4
A Novel Necroptosis-Associated lncRNA Signature Can Impact the Immune Status and Predict the Outcome of Breast Cancer DOI Creative Commons
Xin Zhang,

Xingda Zhang,

Guozheng Li

et al.

Journal of Immunology Research, Journal Year: 2022, Volume and Issue: 2022, P. 1 - 21

Published: May 5, 2022

Breast cancer (BRCA) is one of the leading causes death among women worldwide, and drug resistance often leads to a poor prognosis. Necroptosis type programmed cell (PCD) exhibits regulatory effects on tumor progression, but few studies have focused relationships between necroptosis-associated lncRNAs BRCA. In this study, we established signature basis 7 necroptosis-related associated with prognosis divided BRCA patients into high- low-risk groups. Kaplan-Meier curves all showed an adverse for in high-risk group. Cox assays confirmed that risk score was independent prognostic factor patients. The receiver operating characteristic (ROC) curve proved predictive accuracy area under (AUC) values reached 0.722. nomogram relatively accurately predicted GSEA analysis suggested related signaling pathways biological processes enriched groups may influence microenvironment (TME) ssGSEA difference immune infiltration, pathway activation, checkpoint expression two groups, group more suitable immunotherapy. According significant IC50 can be guided individualized treatment plan. Overall, authors consisting independently predict clinical outcome low- populations reason immunotherapy some

Language: Английский

Citations

15
Necroptosis Identifies Novel Molecular Phenotypes and Influences Tumor Immune Microenvironment of Lung Adenocarcinoma DOI Creative Commons
Chen Zhao, Kewei Xiong, Abdalla Adam

et al.

Frontiers in Immunology, Journal Year: 2022, Volume and Issue: 13

Published: July 14, 2022

This study aims to investigate the immune and epigenetic mutational landscape of necroptosis in lung adenocarcinoma (LUAD), identify novel molecular phenotypes, develop a prognostic scoring system based on regulatory molecules for better understanding tumor microenvironment (TIME) LUAD. Based Cancer Genome Atlas Gene Expression Omnibus database, total 29 overlapped necroptosis-related genes were enrolled classify patients into different phenotypes using unsupervised consensus clustering. We systematically correlated with clinical features, immunocyte infiltrating levels, mutation characteristics. A was then constructed, termed NecroScore, quantify LUAD by principal component analysis. Three distinct confirmed. Two clusters high expression regulators “hot tumors”, while another phenotype low “cold tumor”. Molecular characteristics, including frequency types, copy number variation, regulon activity differed significantly among subtypes. The as an independent factor (HR=1.086, 95%CI=1.040-1.133, p<0.001), able predict survival outcomes show that higher scores experienced poorer prognosis. It could also evaluate responses immunotherapy chemotherapeutic efficiency. In conclusion, are genome diversity pan-cancer, playing significant role forming TIME Necroptosis can distinguish NecroScore is promising biomarker predicting prognosis, well immuno- benefits

Language: Английский

Citations

15
Genome‐wide detection of structural variation in some sheep breeds using whole‐genome long‐read sequencing data DOI
Guoyan Qiao, Pan Xu, Tingting Guo

et al.

Journal of Animal Breeding and Genetics, Journal Year: 2024, Volume and Issue: 141(4), P. 403 - 414

Published: Jan. 21, 2024

Abstract Genomic structural variants (SVs) constitute a significant proportion of genetic variation in the genome. The rapid development long‐reads sequencing has facilitated detection long‐fragment SVs. There is no published study to detect SVs using long‐read data from sheep. We applied mapping approach and characterized total 30,771 insertions, deletions, inversions translocations. identified 716, 916, 842 303 specific Southdown sheep, Alpine merino Qilian White Tibetan sheep Oula respectively. annotated these found that SV‐related genes were primarily enriched well‐established pathways involved regulation immune system, growth environmental adaptability. detected based on NGS resequencing validate accuracy third‐generation detection. Moreover, five candidate verified PCR method 50 Our first use construct novel map have completed preliminary exploration potential effects

Language: Английский

Citations

3
Cell death in tumor microenvironment: an insight for exploiting novel therapeutic approaches DOI Creative Commons

Wenxin Wang,

Tong Li, Kui Wu

et al.

Cell Death Discovery, Journal Year: 2025, Volume and Issue: 11(1)

Published: March 10, 2025

Abstract Cell death is critical in tumor biology. The common cancer therapies can cause cell and alleviate tumor, while the cells develop a resistance to survive from therapies. Thus, not only observing alternative mechanisms of resistant death, but also understanding intricate dynamics processes within microenvironment (TME), are essential for tailoring effective therapeutic strategies. High-throughput sequencing technologies have revolutionized research by enabling comprehensive molecular profiling. Recent advances single unraveled heterogeneity TME components, shedding light on their complex interactions. In this review, we explored interplay between signaling TME, summarised potential drugs inducing pre-clinical stage, reviewed some studies applying next-generation research, discussed future utilization updated platforms screening novel treatment methods targeted death. conclusion, leveraging multi-omics dissect context holds great promise advancing therapy development.

Language: Английский

Citations

0