Deep learning in cancer diagnosis, prognosis and treatment selection

KA Tran, O Kondrashova, A Bradley, ED Williams… - Genome Medicine, 2021 - Springer
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics

SK Longo, MG Guo, AL Ji, PA Khavari - Nature Reviews Genetics, 2021 - nature.com
Single-cell RNA sequencing (scRNA-seq) identifies cell subpopulations within tissue but
does not capture their spatial distribution nor reveal local networks of intercellular …

Pan-cancer single-cell analysis reveals the heterogeneity and plasticity of cancer-associated fibroblasts in the tumor microenvironment

H Luo, X Xia, LB Huang, H An, M Cao, GD Kim… - Nature …, 2022 - nature.com
Cancer-associated fibroblasts (CAFs) are the predominant components of the tumor
microenvironment (TME) and influence cancer hallmarks, but without systematic …

[HTML][HTML] Ferroptosis heterogeneity in triple-negative breast cancer reveals an innovative immunotherapy combination strategy

F Yang, Y Xiao, JH Ding, X Jin, D Ma, DQ Li, JX Shi… - Cell metabolism, 2023 - cell.com
Treatment of triple-negative breast cancer (TNBC) remains challenging. Deciphering the
orchestration of metabolic pathways in regulating ferroptosis will provide new insights into …

[HTML][HTML] Dual ontogeny of disease-associated microglia and disease inflammatory macrophages in aging and neurodegeneration

A Silvin, S Uderhardt, C Piot, S Da Mesquita, K Yang… - Immunity, 2022 - cell.com
Brain macrophage populations include parenchymal microglia, border-associated
macrophages, and recruited monocyte-derived cells; together, they control brain …

Acute inflammatory response via neutrophil activation protects against the development of chronic pain

M Parisien, LV Lima, C Dagostino… - Science translational …, 2022 - science.org
The transition from acute to chronic pain is critically important but not well understood. Here,
we investigated the pathophysiological mechanisms underlying the transition from acute to …

Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology

T Chu, Z Wang, D Pe'er, CG Danko - Nature Cancer, 2022 - nature.com
Inferring single-cell compositions and their contributions to global gene expression changes
from bulk RNA sequencing (RNA-seq) datasets is a major challenge in oncology. Here we …

[HTML][HTML] Conserved pan-cancer microenvironment subtypes predict response to immunotherapy

A Bagaev, N Kotlov, K Nomie, V Svekolkin, A Gafurov… - Cancer cell, 2021 - cell.com
The clinical use of molecular targeted therapy is rapidly evolving but has primarily focused
on genomic alterations. Transcriptomic analysis offers an opportunity to dissect the …

Tumor microenvironment: barrier or opportunity towards effective cancer therapy

A Tiwari, R Trivedi, SY Lin - Journal of biomedical science, 2022 - Springer
Tumor microenvironment (TME) is a specialized ecosystem of host components, designed
by tumor cells for successful development and metastasis of tumor. With the advent of 3D …

[HTML][HTML] Microbiota triggers STING-type I IFN-dependent monocyte reprogramming of the tumor microenvironment

KC Lam, RE Araya, A Huang, Q Chen, M Di Modica… - Cell, 2021 - cell.com
The tumor microenvironment (TME) influences cancer progression and therapy response.
Therefore, understanding what regulates the TME immune compartment is vital. Here we …