Identification of a Novel Prognostic Lymphangiogenesis-Related Signature Associated with Tumor Immunity for Guiding Therapy in Lung Adenocarcinoma DOI Creative Commons
Juan Peng, Dan Liu, Hongfeng Zhang

et al.

Analytical Cellular Pathology, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 21

Published: Feb. 17, 2024

Lymphangiogenesis, an integral contributor to lymphatic metastasis, is a significant reason for the poor prognosis of cancer patients. Anti-lymphangiogenesis treatment promising novel therapeutic direction, especially tumors resistant conventional therapies. We confirmed ectopic expression lymphangiogenesis-related genes (LRGs) in lung adenocarcinoma (LUAD) cohorts based on TCGA database. constructed prediction signature with 15 LRG prognostic signatures (F2RL1, LOXL2, MKI67, PTPRM, GPI, POSTN, INHA, LDHA, LINC00857, ITGA2, PECAM1, SOD3, GDF15, SIX1, and FGD5), overall survival (OS) was significantly different between high- low-risk groups (TCGA-training: p<0.001 , TCGA-test: id="M2">p=0.02 GSE30219: id="M3">p<0.001 GSE37745: id="M4">p=0.002 GSE50081: id="M5">p=0.002 ). Moreover, risk score also associated PIK3CA BRCA1 pathways. In nomogram, better than that clinicopathologic parameters OS, including age, sex, stage, T N M stage. summary, we validated 15-LRG signature, which may help predict LUAD offer possible direction future research downstream molecular mechanisms.

Language: Английский

Bioinformatics analysis of an immunotherapy responsiveness- related gene signature in predicting lung adenocarcinoma prognosis DOI Open Access
Yupeng Jiang,

Bacha Hammad,

Hong Huang

et al.

Translational Lung Cancer Research, Journal Year: 2024, Volume and Issue: 13(6), P. 1277 - 1295

Published: June 1, 2024

Immune therapy has become first-line treatment option for patients with lung cancer, but some respond poorly to immune therapy, especially among adenocarcinoma (LUAD). Novel tools are needed screen potential responders in LUAD patients, better predict the prognosis and guide clinical decision-making. Although many efforts have been made responsiveness of results were limited. During era immunotherapy, this study attempts construct a novel prognostic model by utilizing differentially expressed genes (DEGs) differential responses.

Language: Английский

Citations

1
Comprehensive analysis of the basement membrane in lung adenocarcinoma by bulk and single-cell sequencing analysis DOI Creative Commons
Hanyu Shi, Liang Sun, Bin Liu

et al.

Journal of Cancer, Journal Year: 2023, Volume and Issue: 14(9), P. 1635 - 1647

Published: Jan. 1, 2023

Background:The basement membrane (BM), as a critical component of the extracellular matrix, plays role in cancer progression.However, BM lung adenocarcinoma (LUAD) remains unclear.Methods: A total 1383 patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts were enrolled study, BM-related differentially expressed genes (BM-DEGs) screened using weighted gene coexpression network analysis (WGCNA) differential expression analysis.We next built prognostic model Cox regression separated into two groups based on median risk score.This signature was validated with vitro experiments, its mechanism investigated by enrichment tumour microenvironment analyses.We also evaluated whether this could predict sensitivity to chemotherapy immunotherapy.Finally, single-cell RNA sequencing utilized analyse different cells.Results: Thirsty-seven BM-DEGs discovered, 4 (HMCN2, FBLN5, ADAMTS15 LAD1) obtained TCGA cohort GEO cohorts.Survival curves ROC curve demonstrated that score significant predictor survival all even when considering effect other clinical indexes.Low-risk had longer times, higher immune cell infiltration levels better immunotherapeutic responses.Single-cell showed FBLN5 LAD1 overexpressed fibroblasts cells, respectively, compared normal cells. Conclusion:This study LUAD primarily explored mechanism.

Language: Английский

Citations

2
Screening of hub inflammatory bowel disease biomarkers and identification of immune-related functions based on basement membrane genes DOI Creative Commons
Penghang Lin, Hua Jin,

Zuhong Teng

et al.

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

Published: July 22, 2023

Inflammatory bowel disease (IBD), including Crohn's (CD) and ulcerative colitis (UC), is a chronic, inflammatory, autoimmune disease, but its specific etiology pathogenesis are still unclear. This study aimed to better discover the causative basement membrane (BM) genes of their subtypes associations. The differential expression BM between CD UC was analyzed validated by downloading relevant datasets from GEO database. We divided samples into 3 groups for comparative analysis. Construction PPI networks, enrichment gene functions, screening Lasso regression models, validation ROC curves, nomogram prediction other analytical methods were used. immune cell infiltration further explored ssGSEA analysis, correlates hub found, finally, central screened machine learning. obtained 6 candidate related cellular in groups, respectively, ADAMTS17 ADAMTS9 through And curve AUC > 0.7, indicating that this characteristic has more accurate predictive effect on IBD. also found pathogenicity-related mainly concentrated ADAMTS family (ADAMTS17 ADAMTS9). Addition there some differences two subtypes, different SPARC, POSTN, ADAMTS2. In current study, we provided model composed genes, identified clarified similarities UC. will have potential value preclinical, clinical, translational guidance research

Language: Английский

Citations

2
Identification of Co-diagnostic Genes for Heart Failure and Hepatocellular Carcinoma Through WGCNA and Machine Learning Algorithms DOI
Lizhi Cao, Xiaoying Wang, Xin Li

et al.

Molecular Biotechnology, Journal Year: 2024, Volume and Issue: 66(5), P. 1229 - 1245

Published: Jan. 18, 2024

Language: Английский

Citations

0
Effects of spaceflight on the spleen and thymus of mice: Gene pathway analysis and immune infiltration analysis DOI Creative Commons
Yuru Han, Shuo Shi, Shuang Liu

et al.

Mathematical Biosciences & Engineering, Journal Year: 2023, Volume and Issue: 20(5), P. 8531 - 8545

Published: Jan. 1, 2023

<abstract> <p>During space flight, the immune system function of body is disrupted due to continuous weightlessness, radiation and other factors, resulting in an increased incidence infectious diseases astronauts. However, effect flight on at molecular level unknown. The aim this study was identify key genes pathways spatial environmental effects spleen thymus using bioinformatics analysis GEO dataset. Differentially expressed (DEGs) mice preflight postflight were screened by comprehensive gene expression profile data. Then, GO enrichment DEGs performed determine biological role DEGs. A protein–protein interaction network used hub genes. In addition, transcription factors screened, a TF-target regulatory constructed. Finally, infiltration samples from mice. results showed that are mainly involved responses processes related platelets. Six identified 13 thymus, which Ttr, Aldob, Gc Fabp1 common both tissues. 5 present spleen, 9 thymus. environment can influence degree cell Our bioinformatically analyzed dataset spacefaring play roles, providing insights for treatment spaceflight-induced disorders.</p> </abstract>

Language: Английский

Citations

1
Identification of a Novel Prognostic Lymphangiogenesis-Related Signature Associated with Tumor Immunity for Guiding Therapy in Lung Adenocarcinoma DOI Creative Commons
Juan Peng, Dan Liu, Hongfeng Zhang

et al.

Analytical Cellular Pathology, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 21

Published: Feb. 17, 2024

Lymphangiogenesis, an integral contributor to lymphatic metastasis, is a significant reason for the poor prognosis of cancer patients. Anti-lymphangiogenesis treatment promising novel therapeutic direction, especially tumors resistant conventional therapies. We confirmed ectopic expression lymphangiogenesis-related genes (LRGs) in lung adenocarcinoma (LUAD) cohorts based on TCGA database. constructed prediction signature with 15 LRG prognostic signatures (F2RL1, LOXL2, MKI67, PTPRM, GPI, POSTN, INHA, LDHA, LINC00857, ITGA2, PECAM1, SOD3, GDF15, SIX1, and FGD5), overall survival (OS) was significantly different between high- low-risk groups (TCGA-training: p<0.001 , TCGA-test: id="M2">p=0.02 GSE30219: id="M3">p<0.001 GSE37745: id="M4">p=0.002 GSE50081: id="M5">p=0.002 ). Moreover, risk score also associated PIK3CA BRCA1 pathways. In nomogram, better than that clinicopathologic parameters OS, including age, sex, stage, T N M stage. summary, we validated 15-LRG signature, which may help predict LUAD offer possible direction future research downstream molecular mechanisms.

Language: Английский

Citations

0