Spatial transcriptomics: a new frontier in accurate localization of breast cancer diagnosis and treatment DOI Creative Commons
Yang Zhang,

Shuhua Gong,

Xiaofei Liu

et al.

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

Published: Oct. 8, 2024

Breast cancer is one of the most prevalent cancers in women globally. Its treatment and prognosis are significantly influenced by tumor microenvironment heterogeneity. Precision therapy enhances efficacy, reduces unwanted side effects, maximizes patients’ survival duration while improving their quality life. Spatial transcriptomics significant importance for precise breast cancer, playing a critical role revealing internal structural differences tumors composition microenvironment. It offers novel perspective studying spatial structure cell interactions within tumors, facilitating more effective personalized treatments cancer. This article will summarize latest findings diagnosis from transcriptomics, focusing on revelation microenvironment, identification new therapeutic targets, enhancement disease diagnostic accuracy, comprehension progression metastasis, assessment drug responses, creation high-resolution maps cells, representation heterogeneity, support clinical decision-making, particularly elucidating immunotherapy correlation with outcomes.

Language: Английский

Multiscale Modeling of Tumor-Macrophage Interactions Underlying Immunotherapy Resistance in Glioblastoma DOI

Haofeng Lin,

Ji Zhang,

Qing Nie

et al.

Multiscale Modeling and Simulation, Journal Year: 2025, Volume and Issue: 23(2), P. 838 - 863

Published: May 13, 2025

Language: Английский

Citations

0
scHyper: reconstructing cell–cell communication through hypergraph neural networks DOI Creative Commons
Wenying Li, Haiyun Wang, Jianping Zhao

et al.

Briefings in Bioinformatics, Journal Year: 2024, Volume and Issue: 25(5)

Published: July 25, 2024

Abstract Cell–cell communications is crucial for the regulation of cellular life and establishment relationships. Most approaches inferring intercellular from single-cell RNA sequencing (scRNA-seq) data lack a comprehensive global network view multilayered communications. In this context, we propose scHyper, new method that can infer perspective identify potential impact all cells, ligand, receptor expression on communication score. scHyper designed way to represent tripartite relationships, by extracting heterogeneous hypergraph includes source (ligand expression), target (receptor relevant ligand–receptor (L-R) pairs. based representation learning, which measures degree match between intrinsic attributes (static embeddings) nodes their observed behaviors (dynamic in context (hyperedges), quantifies probability forming hyperedges, thus reconstructs cell–cell Additionally, effectively mine key mechanisms signal transmission, collect rich dataset multisubunit complex L-R pairs nonparametric test determine significant Comparing with other tools indicates exhibits superior performance functionality. Experimental results human tumor microenvironment immune cells demonstrate offers reliable unique capabilities analyzing networks. Therefore, introduced an effective strategy build high-order interaction patterns, surpassing limitations most methods only handle low-order interactions, more accurately interpreting complexity

Language: Английский

Citations

1
Spatial transcriptomics: a new frontier in accurate localization of breast cancer diagnosis and treatment DOI Creative Commons
Yang Zhang,

Shuhua Gong,

Xiaofei Liu

et al.

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

Published: Oct. 8, 2024

Breast cancer is one of the most prevalent cancers in women globally. Its treatment and prognosis are significantly influenced by tumor microenvironment heterogeneity. Precision therapy enhances efficacy, reduces unwanted side effects, maximizes patients’ survival duration while improving their quality life. Spatial transcriptomics significant importance for precise breast cancer, playing a critical role revealing internal structural differences tumors composition microenvironment. It offers novel perspective studying spatial structure cell interactions within tumors, facilitating more effective personalized treatments cancer. This article will summarize latest findings diagnosis from transcriptomics, focusing on revelation microenvironment, identification new therapeutic targets, enhancement disease diagnostic accuracy, comprehension progression metastasis, assessment drug responses, creation high-resolution maps cells, representation heterogeneity, support clinical decision-making, particularly elucidating immunotherapy correlation with outcomes.

Language: Английский

Citations

1