Unveiling epigenetic regulatory elements associated with breast cancer development DOI Creative Commons
Marta Jardanowska, Michał Dramiński, Michał Wlasnowolski

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 15, 2024

Breast cancer is the most common in women and 2nd worldwide, yearly impacting over 2 million females causing 650 thousand deaths. It has been widely studied, but its epigenetic variation not entirely unveiled. We aimed to identify mechanisms expression of breast related genes detect new potential biomarkers therapeutic targets. considered The Cancer Genome Atlas database with 800 samples several omics datasets such as mRNA, miRNA, DNA methylation, which we used select 2701 features that were statistically significant differ between control using Monte Carlo Feature Selection Interdependency Discovery algorithm, from an initial total 417,486. Their biological impact on cancerogenesis was confirmed using: statistical analysis, natural language processing, linear machine learning models well as: transcription factors identification, drugs 3D chromatin structure analyses. Classification vs selected returned high classification weighted Accuracy 0.91 0.98 depending feature-type: algorithm. In general, showed lower differentially expressed increased

Язык: Английский

EPAS1, a hypoxia‐ and ferroptosis‐related gene, promotes malignant behaviour of cervical cancer by ceRNA and super‐enhancer DOI Creative Commons
Xiaoqin Lu, Wenyi Zhang, Jingyan Zhang

и другие.

Journal of Cellular and Molecular Medicine, Год журнала: 2024, Номер 28(9)

Опубликована: Май 1, 2024

Abstract Hypoxia and Ferroptosis are associated with the malignant behaviour of cervical cancer. Endothelial PAS domain‐containing protein 1 (EPAS1) contributes to progression EPAS1 plays important roles in hypoxia ferroptosis. Using GEO dataset, machine‐learning algorithms were used screen for hypoxia‐ ferroptosis‐related genes (HFRGs) was identified as hub gene. qPCR WB investigate expression normal cancer tissues. The proliferation, invasion migration cells HeLa SiHa cell lines detected using CCK8, transwell wound healing assays, respectively. Apoptosis by flow cytometry. A dual‐luciferase assay analyse MALAT1‐miR‐182‐5P‐EPAS1 mRNA axis core promoter elements super‐enhancer. significantly overexpressed could increase invasion, reduce apoptosis cell. According double‐luciferase assay, regulated MALAT1‐Mir‐182‐5p‐EPAS1 axis. is super‐enhancers. Double‐luciferase showed that super‐enhancer E1 E3. EPAS1, an HFRG, promotes cells. super‐enhancers MALAT1‐miR‐182‐5P‐ may be a target diagnosis treatment

Язык: Английский

Процитировано

6

The roles of enhancer, especially super-enhancer-driven genes in tumor metabolism and immunity DOI
Shouwu Guo, Lu Zhang,

Jiao Ren

и другие.

International Journal of Biological Macromolecules, Год журнала: 2025, Номер unknown, С. 142414 - 142414

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Harnessing single-cell and multi-omics insights: STING pathway-based predictive signature for immunotherapy response in lung adenocarcinoma DOI Creative Commons
Yang Ding, Dingli Wang,

Dali Yan

и другие.

Frontiers in Immunology, Год журнала: 2025, Номер 16

Опубликована: Апрель 16, 2025

Background Lung adenocarcinoma is the most prevalent type of small-cell carcinoma, with a poor prognosis. For advanced-stage patients, efficacy immunotherapy suboptimal. The STING signaling pathway plays pivotal role in lung adenocarcinoma; therefore, further investigation into relationship between and warranted. Methods We conducted comprehensive analysis integrating single-cell RNA sequencing (scRNA-seq) data bulk transcriptomic profiles from public databases (GEO, TCGA). pathway-related genes were identified through Genecard database. Advanced bioinformatics analyses using R packages (Seurat, CellChat) revealed heterogeneity, intercellular communication networks, immune landscape characteristics. developed signature (STINGsig) 101 machine learning frameworks. functional significance ERRFI1, key component STINGsig, was validated mouse models multicolor flow cytometry, particularly examining its enhancing antitumor immunity potential synergy α-PD1 therapy. Results Our characterized 15 distinct cell populations, including epithelial cells, macrophages, fibroblasts, T B endothelial each unique marker gene profiles. activity scoring elevated activation neutrophils, contrasting lower inflammatory macrophages. Cell-cell demonstrated enhanced interaction networks high-STING-score evident fibroblasts cells. STINGsig showed robust prognostic value microenvironment characteristics risk groups. Notably, ERRFI1 knockdown experiments confirmed significant modulating therapy response. Conclusion STING-related exhibited expression levels across high-score cells showing tumor-promoting pathways, active interactions, enrichment IFI27+ In contrast, low-score associated phenotypes reduced activity. (STINGsig), which linked to microenvironment. Through vivo experiments, we that critical within significantly enhances synergizes cancer model, underscoring therapeutic responses.

Язык: Английский

Процитировано

0

Emerging role of tumor microenvironmental nutrients and metabolic molecules in ferroptosis: Mechanisms and clinical implications DOI Open Access
Dongyu Li, Zhe Zhang, Lei Wang

и другие.

Biomedicine & Pharmacotherapy, Год журнала: 2024, Номер 179, С. 117406 - 117406

Опубликована: Сен. 9, 2024

Язык: Английский

Процитировано

2

Ferroptosis-related gene transferrin receptor protein 1 expression correlates with the prognosis and tumor immune microenvironment in cervical cancer DOI Creative Commons

Xiu‐Juan Shang,

Hongdong Wang, Jin Gu

и другие.

PeerJ, Год журнала: 2024, Номер 12, С. e17842 - e17842

Опубликована: Авг. 6, 2024

Ferroptosis is a non-apoptotic iron-dependent form of cell death implicated in various cancer pathologies. However, its precise role tumor growth and progression cervical (CC) remains unclear. Transferrin receptor protein 1 (TFRC), key molecule associated with ferroptosis, has been identified as influencing broad range pathological processes different cancers. the prognostic significance TFRC CC The present study utilized bioinformatics to explore ferroptosis-related gene prognosis CC.

Язык: Английский

Процитировано

1

Unveiling epigenetic regulatory elements associated with breast cancer development DOI Creative Commons
Marta Jardanowska, Michał Dramiński, Michał Wlasnowolski

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 15, 2024

Breast cancer is the most common in women and 2nd worldwide, yearly impacting over 2 million females causing 650 thousand deaths. It has been widely studied, but its epigenetic variation not entirely unveiled. We aimed to identify mechanisms expression of breast related genes detect new potential biomarkers therapeutic targets. considered The Cancer Genome Atlas database with 800 samples several omics datasets such as mRNA, miRNA, DNA methylation, which we used select 2701 features that were statistically significant differ between control using Monte Carlo Feature Selection Interdependency Discovery algorithm, from an initial total 417,486. Their biological impact on cancerogenesis was confirmed using: statistical analysis, natural language processing, linear machine learning models well as: transcription factors identification, drugs 3D chromatin structure analyses. Classification vs selected returned high classification weighted Accuracy 0.91 0.98 depending feature-type: algorithm. In general, showed lower differentially expressed increased

Язык: Английский

Процитировано

0