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

Identification of the entosis-related prognostic signature and tumour microenvironment in hepatocellular carcinoma on the basis of bioinformatics analysis and experimental validation DOI Creative Commons

Chen Wu,

Shixu Fang,

Liangliang Wu

et al.

Clinical and Experimental Medicine, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 12, 2025

Liver cancer ranks among the deadliest cancers worldwide. Entosis, a recently uncovered method of cell death, has not yet been fully explored for its relevance to HCC. A bioinformatics analysis was performed determine expression and mutational landscapes Entosis-related genes (ERGs). subset differentially expressed (DEERGs) generated. risk model entosis subsequently constructed employing LASSO Cox regression methodologies. The correlations ERGs, associated with risk, developed model, immune context tumour were explored. Furthermore, study investigated varying drug sensitivities between high-risk slight-risk patient groups. patterns four pivotal delineated via qRT‒PCR WB. prognostic comprising DEERGs (KIF18A, SPP1, LCAT TRIB3) developed. ability this predict survival outcomes patients HCC confirmed through receiver operating characteristic curve analysis. Patients grouped according their assessments, revealing that low-risk population demonstrated more favourable outcome than did population. presented reduced stroma, ESTIMATE scores, along an increased proportion stem cells mutation burden. Additionally, connection responsiveness various chemotherapy drugs as well efficacy immunotherapies in noted. These findings provide significant guidance development targeted clinical treatment strategies. WB revealed gene KIF18A SPP1 elevated HCCLM3 compared THLE2 cells; whereas, level TIRB3 decreased. KIF18A, TRIB3 could effectively prognosis liver cancer. tissues cells.

Language: Английский

Citations

0
Prognostic and clinicopathological significance of C-reactive protein–albumin–lymphocyte(CALLY) in patients with digestive system neoplasms: a systematic review and meta-analysis DOI Creative Commons

Dengzhuo Chen,

Yongli Ma, Jinghui Li

et al.

World Journal of Surgical Oncology, Journal Year: 2025, Volume and Issue: 23(1)

Published: April 2, 2025

The prognostic significance of the C-reactive protein-albumin-lymphocyte (CALLY) index in digestive system neoplasms (DSNs) has been investigated several studies, but inconsistencies remain between results different studies. Therefore, aim this study was to confirm CALLY patients with DSNs and its association clinicopathological characteristics (CPCs). databases PubMed, Cochrane Library, Web Science, Research Square Embase were systematically searched for clinical trials up 1 November 2024. value predicting overall survival (OS), disease-free (DFS) recurrence-free (RFS) versus cancer-specific (CSS) confirmed by calculating combined hazard ratio (HR) 95% CI. OR CI calculated assess CPCs DSNs. A total 18 studies 7916 included study. Pooled analysis showed that lower associated poor OS, DFS, RFS CSS significantly associated. In addition, low male gender, T3-T4, lymph node metastasis, vessel invasion, complications, stage III-IV surgical approach However, there no histological type, adjuvant chemotherapy, neoadjuvant chemotherapy. meta-analysis, a PROSPERO CRD42024622973.

Language: Английский

Citations

0
Identification of Anoikis‐Related Genes in Gastric Cancer: Bioinformatics and Experimental Validation DOI Creative Commons

Chao Song,

Wenbo Liu,

Xiaoyu Wang

et al.

Cancer Medicine, Journal Year: 2025, Volume and Issue: 14(8)

Published: April 1, 2025

ABSTRACT Introduction Distant metastasis is the main reason for poor prognosis of gastric cancer, and anoikis refers to cell death caused when cells detach from extracellular matrix or adhere in incorrect locations, playing an important role distant cancer. Methods Download TCGA‐STAD dataset gene set, filter out differentially expressed genes. Perform consensus clustering cancer samples, conduct Weighted Gene Correlation Network Analysis (WGCNA), enrichment analysis, immune infiltration analysis expression characteristics each subtype, while also filtering genes with differential between subtypes. Additionally, through COX survival identify related establish a nomogram. Finally, validate CYP1B1 vivo vitro clinical culture, establishment model. Results Three subtypes were identified, exhibiting different characteristics, biological pathways, infiltration. The abundance activated NK cells, memory B M2 macrophages showed significant differences among three We screened four sets five (CYP1B1, EQTN, NRXN2, TBC1D3E, TCEAL5) Through we identified 33 independent prognostic constructed nomogram, calibration curves indicating good consistency. selected experimental validation, experiments demonstrated that highly participates resistance promotes invasion, migration, tumor progression cells. Conclusion patterns based on vary, providing theoretical support future personalized treatment

Language: Английский

Citations

0
Anoikis Resistance in Cancer: Mechanisms, Therapeutic Strategies, Potential Targets, and Models for Enhanced Understanding DOI
Pallab Shaw, Arpan Dey Bhowmik, Mohan Shankar Gopinatha Pillai

et al.

Cancer Letters, Journal Year: 2025, Volume and Issue: unknown, P. 217750 - 217750

Published: April 1, 2025

Language: Английский

Citations

0
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