Integrating multi-omics techniques and in vitro experiments reveals that GLRX3 regulates the immune microenvironment and promotes hepatocellular carcinoma cell proliferation and invasion through iron metabolism pathways DOI Creative Commons
Yang Li, Yuan Chen, Yang Zhang

et al.

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

Published: Nov. 25, 2024

Hepatocellular carcinoma (HCC) is a common malignancy worldwide, and its development closely related to abnormalities in iron metabolism. This study aims systematically analyze changes metabolism the tumor microenvironment of HCC using single-cell sequencing technology, investigate potential mechanisms by which regulation affects survival liver cancer patients.

Language: Английский

Single-cell RNA sequencing reveals that MYBL2 in malignant epithelial cells is involved in the development and progression of ovarian cancer DOI Creative Commons
Wenwen Shao, Zhiheng Lin,

Zhikai Xiahou

et al.

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

Published: July 29, 2024

Ovarian carcinoma (OC) is a prevalent gynecological malignancy associated with high recurrence rates and mortality, often diagnosed at advanced stages. Despite advances in immunotherapy, immune exhaustion remains significant challenge achieving optimal tumor control. However, the exploration of intratumoral heterogeneity malignant epithelial cells ovarian cancer microenvironment still limited, hindering our comprehensive understanding disease.

Language: Английский

Citations

31

Single-cell RNA sequencing explored potential therapeutic targets by revealing the tumor microenvironment of neuroblastoma and its expression in cell death DOI Creative Commons
Lei Sun, Wenwen Shao, Zhiheng Lin

et al.

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

Published: Sept. 5, 2024

Language: Английский

Citations

22

Multi‑omics identification of a signature based on malignant cell-associated ligand–receptor genes for lung adenocarcinoma DOI Creative Commons
Shengshan Xu, Xiguang Chen,

Haoxuan Ying

et al.

BMC Cancer, Journal Year: 2024, Volume and Issue: 24(1)

Published: Sept. 12, 2024

Lung adenocarcinoma (LUAD) significantly contributes to cancer-related mortality worldwide. The heterogeneity of the tumor immune microenvironment in LUAD results varied prognoses and responses immunotherapy among patients. Consequently, a clinical stratification algorithm is necessary inevitable effectively differentiate molecular features microenvironments, facilitating personalized treatment approaches.

Language: Английский

Citations

17

Unveiling the immune symphony: decoding colorectal cancer metastasis through immune interactions DOI Creative Commons
Ru He, Shangke Huang,

Jiaan Lu

et al.

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

Published: Feb. 13, 2024

Colorectal cancer (CRC), known for its high metastatic potential, remains a leading cause of cancer-related death. This review emphasizes the critical role immune responses in CRC metastasis, focusing on interaction between cells and tumor microenvironment. We explore how cells, through cytokines, chemokines, growth factors, contribute to metastasis cascade, underlining microenvironment’s shaping responses. The addresses CRC’s evasion tactics, especially upregulation checkpoint inhibitors like PD-1 CTLA-4, highlighting their potential as therapeutic targets. also examine advanced immunotherapies, including cell transplantation, modify enhance treatment outcomes metastasis. Overall, our analysis offers insights into interplay molecules environment, crucial developing new treatments control improve patient prognosis, with specific focus overcoming evasion, key aspect this special issue.

Language: Английский

Citations

14

Role of glycosylation-related gene MGAT1 in pancreatic ductal adenocarcinoma DOI Creative Commons
Lai Jiang,

Jie Liu,

Shengke Zhang

et al.

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

Published: Aug. 1, 2024

pancreatic ductal adenocarcinoma (PDAC) is a malignant tumor with very poor prognosis and complex microenvironment, which plays key role in progression treatment resistance. Glycosylation an important processes such as cell signaling, immune response protein stability.

Language: Английский

Citations

14

Crosstalk between non-coding RNAs and programmed cell death in colorectal cancer: implications for targeted therapy DOI Creative Commons
Seyed Reza Taha, Mehdi Karimi, Bahar Mahdavi

et al.

Epigenetics & Chromatin, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 15, 2025

Colorectal cancer (CRC) remains one of the most common causes cancer-related mortality worldwide. Its progression is influenced by complex interactions involving genetic, epigenetic, and environmental factors. Non-coding RNAs (ncRNAs), including microRNAs (miRNAs), long non-coding (lncRNAs), circular (circRNAs), have been identified as key regulators gene expression, affecting diverse biological processes, notably programmed cell death (PCD). This review aims to explore relationship between ncRNAs PCD in CRC, focusing on how influence survival, proliferation, treatment resistance. A comprehensive literature analysis was conducted examine recent findings role modulating various mechanisms, apoptosis, autophagy, necroptosis, pyroptosis, their impact CRC development therapeutic response. were found significantly regulate pathways, impacting tumor growth, metastasis, sensitivity CRC. Their these pathways highlights potential biomarkers for early detection targets innovative interventions. Understanding involvement regulation offers new insights into biology. The targeted modulation ncRNA-PCD presents promising avenues personalized treatment, which may improve patient outcomes enhancing effectiveness reducing

Language: Английский

Citations

1

CDCA genes as prognostic and therapeutic targets in Colon adenocarcinoma DOI Creative Commons

Zongquan Zhao,

Xinwei Feng,

Bo Chen

et al.

Hereditas, Journal Year: 2025, Volume and Issue: 162(1)

Published: Feb. 10, 2025

Abstract Objectives The study investigates the role of Cell Division Cycle Associated (CDCA) genes in colorectal cancer (COAD) by analyzing their differential expression, epigenetic alterations, prognostic significance, and functional associations. Methodology This employed a detailed silico vitro experiments-based methodology. Results RT-qPCR assays reveal significantly elevated mRNA levels CDCA2, CDCA3, CDCA4, CDCA5, CDCA7, CDCA8 COAD cell lines compared to controls. Bisulfite sequencing indicates reduced promoter methylation CDCA gene promoters lines, suggesting an regulatory mechanism. Analysis large TCGA datasets confirms increased expression tissues. Survival analysis using cSurvival database demonstrates negative correlations between patient overall survival. Additionally, Lasso regression-based models predict survival outcomes patients. Investigating immune modulation, inversely correlates with infiltration modulators. miRNA-mRNA network identifies miRNAs targeting genes, validated showing up-regulation has-mir-10a-5p has-mir-20a-5p Drug sensitivity suggests resistance specific drugs patients expression. Furthermore, crucial states COAD, including “angiogenesis, apoptosis, differentiation, hypoxia, inflammation, metastasis.” Additional experiments revealed that CDCA2 CDCA3 knockdown SW480 SW629 cells proliferation colony formation while enhancing migration. Conclusion Overall, elucidates multifaceted progression, providing insights into potential diagnostic, prognostic, therapeutic implications.

Language: Английский

Citations

1

Unravelling infiltrating T‐cell heterogeneity in kidney renal clear cell carcinoma: Integrative single‐cell and spatial transcriptomic profiling DOI Creative Commons
Haiqing Chen,

Haoyuan Zuo,

Jinbang Huang

et al.

Journal of Cellular and Molecular Medicine, Journal Year: 2024, Volume and Issue: 28(12)

Published: June 1, 2024

Abstract Kidney renal clear cell carcinoma (KIRC) pathogenesis intricately involves immune system dynamics, particularly the role of T cells within tumour microenvironment. Through a multifaceted approach encompassing single‐cell RNA sequencing, spatial transcriptome analysis and bulk profiling, we systematically explored contribution infiltrating to KIRC heterogeneity. Employing high‐density weighted gene co‐expression network (hdWGCNA), module scoring machine learning, identified distinct signature cell‐associated genes (ITSGs). Spatial transcriptomic data were analysed using robust type decomposition (RCTD) uncover interactions. Further analyses included enrichment assessments, infiltration evaluations drug susceptibility predictions. Experimental validation involved PCR experiments, CCK‐8 assays, plate cloning wound‐healing assays Transwell assays. Six subpopulations proliferating in KIRC, with notable dynamics observed mid‐ late‐stage disease progression. revealed significant correlations between epithelial across varying distances The ITSG‐based prognostic model demonstrated predictive capabilities, implicating these modulation metabolic pathways offering insights into sensitivity for 12 treatment agents. underscored functional relevance PPIB proliferation, invasion migration. Our study comprehensively characterizes T‐cell heterogeneity sequencing data. stable based on ITSGs unveils cells' potential, shedding light microenvironment avenues personalized immunotherapy.

Language: Английский

Citations

8

Deciphering the tumour microenvironment of clear cell renal cell carcinoma: Prognostic insights from programmed death genes using machine learning DOI Creative Commons

Hongtao Tu,

Qingwen Hu,

Yuying Ma

et al.

Journal of Cellular and Molecular Medicine, Journal Year: 2024, Volume and Issue: 28(13)

Published: July 1, 2024

Abstract Clear cell renal carcinoma (ccRCC), a prevalent kidney cancer form characterised by its invasiveness and heterogeneity, presents challenges in late‐stage prognosis treatment outcomes. Programmed death mechanisms, crucial eliminating cells, offer substantial insights into malignant tumour diagnosis, prognosis. This study aims to provide model based on 15 types of Cell Death‐Related Genes (PCDRGs) for evaluating immune microenvironment ccRCC patients. patients from the TCGA arrayexpress cohorts were grouped PCDRGs. A combination using Lasso SuperPC was constructed identify prognostic gene features. The cohort validated model, confirming robustness. Immune analysis, facilitated PCDRGs, employed various methods, including CIBERSORT. Drug sensitivity analysis guided clinical decisions. Single‐cell data enabled scoring, subsequent pseudo‐temporal cell–cell communication analyses. PCDRGs signature established TCGA‐KIRC data. External validation underscored model's superiority over traditional Furthermore, our single‐cell unveiled roles PCDRG‐based subgroups ccRCC, both progression intercellular communication. Finally, we performed CCK‐8 assay other experiments investigate csf2 . In conclusion, these findings reveal that inhibit growth, infiltration movement cells associated with clear carcinoma. introduces benefiting while shedding light pivotal role programmed genes shaping

Language: Английский

Citations

7

Single-cell RNA sequencing revealed PPARG promoted osteosarcoma progression: based on osteoclast proliferation DOI Creative Commons
Lei Sun, Jinhao Zhang,

Zhikai Xiahou

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 28, 2025

Background Osteosarcoma (OS) is one of the most common primary malignant bone tumors, primarily originating from mesenchymal tissue. It notorious for its high invasiveness, disability rate, mortality and poor prognosis. In metastatic destruction can promote cancer progression, which closely related to osteoclast activation imbalance between osteoblasts osteoclasts. A large number studies confirmed that osteoclasts are an important part OS, play active role in destroying homeostasis promoting progress OS. Therefore, we conducted a detailed study at single cell level, aiming find new OS therapeutic targets prevent tumor progression local spread. Methods We analyzed single-cell sequencing data patients usedMonocle2, Cytotrace, Slingshot software analyze pseudo-sequential trajectory during progression. CellChat was used reveal communication cells. PySCENIC identify transcription factors Finally, further demonstrated results by RT-qPCR analysis, CCK-8 assay, wound healing Transwell etc. Results Through analysis identified highly specific subgroup, C2MKI67+ Osteoclast. The key signaling pathway APP top 1 factor PPARG this subgroup played essential roles proliferation differentiation. Given pivotal speculated these pathways could emerge as novel targets, offering innovative strategies treatment. Conclusion This enhanced our understanding through scRNA-seq. Furthermore, discovered amplifies proliferation, resulting excessive resorption degradation matrix, thereby creating favorable environment growth. By innovatively targeting PPARG, it affected thus progression; work offered insights directions clinical treatment patients.

Language: Английский

Citations

0