Anoikis and Mitophagy-Related Gene Signature for Predicting the Survival and Tumor Cell Progression in Colon Cancer DOI
Jian Shen, Minzhe Li

Critical Reviews in Immunology, Journal Year: 2024, Volume and Issue: 45(1), P. 1 - 13

Published: April 8, 2024

Anoikis is a specialized form of programmed cell death and also related mitophagy process. We aimed to identify an anoikis mitophagy-related genes (AMRGs) prognostic model explore the role <i>SPHK1</i> in colon cancer (CC). Bioinformatic methods were used screen AMRGs. Based on these genes, all samples divided into different subtypes. Furthermore, LASSO was conducted optimize optimal risk score established evaluated. Finally, effects downregulated <i>SPHK1 </i>on CC proliferation, migration, invasion, investigated. AMRGs, subtype 1 2. An AMRGs signature containing three key (<i>SPHK1, CDC25C, </i>and <i>VPS37A</i>) that exhibiting predicting ability survival confirmed. Subtype2 low-risk groups exhibited better higher immune infiltration. Moreover, lower invasion ability, as well line (<i>P</i> &#60; 0.01). The exhibits promising patients with CC. might inhibit growth, through stimulating anoikis.

Language: Английский

Integrated Analysis of the Anoikis‐Related Signature Identifies Rac Family Small GTPase 3 as a Novel Tumor‐Promoter Gene in Hepatocellular Carcinoma DOI Creative Commons
Wu Dong, Ze‐Kun Liu, Ying Sun

et al.

MedComm, Journal Year: 2025, Volume and Issue: 6(4)

Published: March 22, 2025

ABSTRACT Anoikis resistance in hepatocellular carcinoma (HCC) cells boosts survival and metastasis. This study aimed to establish an anoikis‐related genes (ARGs)‐based model for predicting HCC patients’ outcomes investigate the clinicopathological significance function of crucial ARGs. The transcriptional expression patterns cohorts were compiled from TCGA, GEO ICGC. Univariate LASSO multivariate analyses performed screen prognostic Gain‐ loss‐of‐function studies, RNA sequencing, mass spectrometry employed elucidate underlying mechanisms ARGs HCC. We established a five‐gene risk prognosis, with AUC value 0.812 1‐year survival. Among five genes, Rac family small GTPase 3 (RAC3) was upregulated relative adjacent normal tissues negatively correlated overall disease‐free patients Silence RAC3 resulted increased cell apoptosis diminished proliferation invasion. Mechanistically, we uncovered that binding SOX6 propelled advancement through NNMT‐mediated stimulation cAMP/MAPK/Rap1 signaling. In particular, EHop‐016, molecule inhibitor targeting RAC3, significantly suppressed progression.

Language: Английский

Citations

0
The role of hypoxia-senescence co-related molecular subtypes and prognostic characteristics in hepatocellular carcinoma DOI Creative Commons

Fuqing Chen,

Yifan Cai, Xiangmei Chen

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 11, 2025

Hepatocellular carcinoma (HCC) is known for its high invasiveness, fatality rate. Both hypoxia and senescence play crucial roles in the initiation progression of cancer, yet their prognostic implications HCC are to be fully understood. The hypoxia-senescence co-related genes (HSCRGs) were screened from public databases. Transcriptome data clinical information obtained patients with using Cancer Genome Atlas, GSE76427, International Consortium (ICGC). random forest tree algorithm was used identify characteristic disease, verified by related experiments. SVM classify based on HSCRGs. prediction model HSCRGs established LASSO, univariate multivariate COX regression analysis. We ICGC outside validation. risk score analyzed subgroup analysis, immune infiltration, functional strength. expression patterns key tumor microenvironment decoded single cell A total 184 identified. pattern characteristics MLH1 gene verified. Two subtypes identified Then, a established, as an independent indicator HCC. new nomogram constructed shows good ability. further determined that level infiltration cells checkpoints significantly affected score. different between two groups. high-risk group dominated immunosuppressed cells, prognosis poor. Single-cell analysis revealed seven microenvironment. Finally, qPCR results levels genes. great significance prediction, stratification targeted therapy

Language: Английский

Citations

0
Neural Networks Approach for Liver Cancer Classification DOI
Vijaya Lakshmi Adluri,

Mohan Aditya Dondapati,

Maadesh Darisi

et al.

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 90 - 98

Published: Jan. 1, 2025

Language: Английский

Citations

0
A signature based on anoikis-related genes for the evaluation of prognosis, immunoinfiltration, mutation, and therapeutic response in ovarian cancer DOI Creative Commons

Yiqi Duan,

Xiao Xu

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

Published: June 13, 2023

Background Ovarian cancer (OC) is a highly lethal and aggressive gynecologic cancer, with an overall survival rate that has shown little improvement over the decades. Robust models are urgently needed to distinguish high-risk cases predict reliable treatment options for OC. Although anoikis-related genes (ARGs) have been reported contribute tumor growth metastasis, their prognostic value in OC remains unknown. The purpose of this study was construct ARG pair (ARGP)-based signature patients elucidate potential mechanism underlying involvement ARGs progression. Methods RNA-sequencing clinical information data were obtained from Center Genome Atlas (TCGA) Gene Expression Omnibus (GEO) databases. A novel algorithm based on pairwise comparison utilized select ARGPs, followed by Least Absolute Shrinkage Selection Operator Cox analysis signature. predictive ability model validated using external dataset, receiver operating characteristic curve, stratification analysis. immune microenvironment proportion cells analyzed high- low-risk seven algorithms. set enrichment weighted gene co-expression network performed investigate mechanisms occurrence prognosis. Results 19-ARGP identified as important predictor 1-, 2-, 3-year function showed group characterized infiltration immunosuppressive adherence-related signaling pathway, suggesting involved progression mediating escape metastasis. Conclusion We constructed ARGP OC, our findings suggested exerted vital interplay therapeutic response. These insights provided valuable regarding molecular disease targeted therapies.

Language: Английский

Citations

7
Development of a prognostic model for anoikis and identifies hub genes in hepatocellular carcinoma DOI Creative Commons

Zhiwei Zhong,

Fuchun Xie,

Jiajun Yin

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Sept. 7, 2023

Abstract Considering the high fatality of hepatocellular carcinoma (HCC), current prognostic systems are insufficient to accurately forecast HCC patients' outcomes. In our study, nine anoikis‑related genes (PTRH2, ITGAV, ANXA5, BIRC5, BDNF, BSG, DAP3, SKP2, and EGF) were determined establish a risk scoring model using LASSO regression, which could be validated in ICGC dataset. Kaplan–Meier curves time-dependent receiver operating characteristic (ROC) curve analysis confirmed score possessed an accurate predictive value for prognosis patients. The high-risk group showed higher infiltration aDCs, macrophages, T-follicular helper cells, Th2 cells. Besides, PD-L1 was significantly compared low-risk group. Several genes, such as ANX5, BDNF associated with drug sensitivity HCC. Finally, we identified BIRC5 SKP2 hub among WGCNA analysis. over-expressed tissues, their over-expression poor prognosis, no matter cohort by immunohistochemical staining or TCGA mRNA-Seq. cohort, expression highly T stage, pathologic histologic grade AFP general, anoikis-related can enhance ability predict survival outcomes patients provide feasible therapeutic strategy immunotherapy resistance

Language: Английский

Citations

7
Deciphering hepatocellular carcinoma pathogenesis and therapeutics: a study on anoikis, ceRNA regulatory network and traditional Chinese medicine DOI Creative Commons
Sa Guo, Nan Xing,

Qinyun Du

et al.

Frontiers in Pharmacology, Journal Year: 2024, Volume and Issue: 14

Published: Jan. 12, 2024

Hepatocellular carcinoma (HCC) is responsible for approximately 90% of liver malignancies and the third most common cause cancer-related mortality worldwide. However, role anoikis, a programmed cell death mechanism crucial maintaining tissue equilibrium, not yet fully understood in context HCC.

Language: Английский

Citations

2
CFLAR: A novel diagnostic and prognostic biomarker in soft tissue sarcoma, which positively modulates the immune response in the tumor microenvironment DOI Open Access

Xu Liu,

Xiaoyang Li, Shengji Yu

et al.

Oncology Letters, Journal Year: 2024, Volume and Issue: 27(4)

Published: Feb. 14, 2024

Anoikis is highly associated with tumor cell apoptosis and prognosis; however, the specific role of anoikis‑related genes (ARGs) in soft tissue sarcoma (STS) remains to be fully elucidated. The present study aimed use a variety bioinformatics methods determine differentially expressed STS healthy tissues. Subsequently, three machine learning algorithms, Least Absolute Shrinkage Selection Operator, Support Vector Machine Random Forest, were used screen highest importance score. results analyses demonstrated that CASP8 FADD‑like regulator (CFLAR) exhibited diagnostic prognostic value CFLAR development was determined using multiple public in‑house cohorts. may considered marker STS, which acts as an independent factor development. also explore potential microenvironment, significantly enhanced immune response exerted positive effect on infiltration CD8+ T cells M1 macrophages microenvironment. Notably, aforementioned verified multiplex immunofluorescence analysis. Collectively, act novel for positively regulate STS. Thus, provided theoretical basis diagnosis, predicting clinical outcomes tailoring individualized treatment options.

Language: Английский

Citations

2
Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellular carcinoma DOI Creative Commons

Huipeng Fang,

Xingte Chen,

Yaqi Zhong

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Oct. 11, 2024

Background Hepatocellular carcinoma (HCC) poses a significant global health challenge due to its poor prognosis and limited therapeutic modalities. Anoikis ErbB signaling pathways are pivotal in cancer cell proliferation metastasis, but their relevance HCC remains insufficiently explored. Methods This study evaluates the prognostic significance of anoikis by utilizing data from The Cancer Genome Atlas (TCGA), International Consortium (ICGC), three additional independent validation cohorts, an in-house cohort. Advanced bioinformatics analyses 167 machine learning models based on leave-one-out cross-validation (LOOCV) were used predict assess outcomes immune-targeted therapies. Additionally, key biological processes further investigated. Results single sample Gene Set Enrichment Analysis revealed strong correlation between upregulated high anoikis-expressing tumors clinical outcomes. development Anoikis-ErbB Related Signature (AERS) using LASSO + RSF model demonstrated robust predictive capabilities, as validated across multiple patient proved effective predicting responses Further investigation highlighted activated NOTCH decreased macrophage infiltration was associated with resistance sorafenib immune checkpoint inhibitors, evidenced bulk single-cell RNA sequencing (scRNA-seq). Conclusion AERS provides novel tool for paves way approaches, underscoring potential integrated molecular profiling enhancing treatment strategies HCC.

Language: Английский

Citations

2
Research Progress on the Role of Epigenetic Methylation Modification in Hepatocellular Carcinoma DOI Creative Commons
J Wang,

Wenyue Gao,

Hongbo Yu

et al.

Journal of Hepatocellular Carcinoma, Journal Year: 2024, Volume and Issue: Volume 11, P. 1143 - 1156

Published: June 1, 2024

Abstract: Hepatocellular carcinoma (HCC) stands as the prevailing form of primary liver cancer, characterized by a poor prognosis and high mortality rate. A pivotal factor in HCC tumorigenesis is epigenetics, specifically regulation gene expression through methylation. This process relies significantly on action proteins that modify methylation, including methyltransferases, their associated binding proteins, demethylases. These are crucial regulators, orchestrating methylation regulating enzymes corresponding proteins. orchestration facilitates reading, binding, detection, catalysis sites. Methylation ences development, prolisignificantly influferation, invasion, HCC. Furthermore, modification its regulatory mechanisms activate distinct biological characteristics cancer stem cells, such inducing cancer-like differentiation cells. They also influence tumor microenvironment (TME) HCC, modulate immune responses, affect chemotherapy resistance patients, contribute to progression signaling pathway feedback. Given essential role genetic information, it holds promise potential tool for early detection target improve drug promote apoptosis Keywords: modifying biomarkers,

Language: Английский

Citations

2
Identification and validation of diagnostic and prognostic biomarkers in prostate cancer based on WGCNA DOI Creative Commons
Xi Xiao,

Liangliang Qing,

Zonglin Li

et al.

Discover Oncology, Journal Year: 2024, Volume and Issue: 15(1)

Published: Sept. 21, 2024

Prostate cancer (PCa) represents a significant health challenge for men, and the advancement of disease often results in grave prognosis patients. Therefore, identification biomarkers associated with diagnosis PCa holds paramount importance patient management.

Language: Английский

Citations

2