Results 161 to 170 of about 68,183 (284)

Population‐Based Multi‐Omics and Cohort Study Identifying Predictive Biomarkers and Therapeutic Targets for Psoriatic Disease

Advanced Science, EarlyView.
Psoriatic disease (PsD) is a chronic skin disease, with challenges in early risk stratification and drug development. Through gene‐level causal inference framework and expression level validation, combined with longitudinal cohort study, CDSN and PRSS8 have been identified as candidate biomarkers and therapeutic targets for PsD.
Tianxing Wu, Jialiang Luo, Haoyuan Qiu, Weijie Shao, Yueyang Lu, Meixuan Luo, Zhaofeng Lin, Yan Zhang, Libo Zhang, Hong Wang, Jia Zhou, Guangfeng Ruan, Peihua Cao, Daming Zuo   +13 more
wiley   +1 more source

Editorial: Unveiling the next generation of cancer immunity & immunotherapy. [PDF]

Front Immunol
Sadasivam M, Muniraj N, Thangavel C.
europepmc   +1 more source

The potential of antigen and TriMix sonoporation using mRNA-loaded microbubbles for ultrasound-triggered cancer immunotherapy [PDF]

, 2014
Breckpot, Karine, De Smedt, Stefaan, Dewitte, Heleen, Heirman, Carlo, Lentacker, Ine, Thielemans, Kris, Van Lint, Sandra   +6 more
core   +1 more source

Antiemesis Corticosteroids Potentiate Checkpoint Blockade Efficacy by Normalizing the Immune Microenvironment in Metastatic Murine Breast Cancer

Advanced Science, EarlyView.
Corticosteroids improve the efficacy of immune checkpoint blockade therapy in metastatic murine breast cancer. By normalizing the tumor immune microenvironment, corticosteroids reduce immunosuppressive signals, restore T‐cell function, and promote antitumor immune responses, resulting in enhanced tumor control.
John D. Martin, Koji Nagaoka, Myrofora Panagi, Akihiro Hosoi, Fotios Mpkeris, Pengwen Chen, Thahomina T. Khan, Margaret R. Martin, Changbo Sun, Chrysovalantis Voutouri, Maria Louca, Panagiotis Papageorgis, Akira Sumiyoshi, Nobuhiro Nitta, Kazuyoshi Takeda, Ichio Aoki, Kazunori Kataoka, Triantafyllos Stylianopoulos, Kazuhiro Kakimi, Horacio Cabral   +19 more
wiley   +1 more source

Tumor-infiltrating lymphocyte expansion protocols for adoptive cell therapy in cancer. [PDF]

Cell Oncol (Dordr)
Tovar Manzano D, Subhi-Issa N, Pereiro-Rodríguez A, López Cade IG, Mateos González M, Fernández Arquero M, Pérez Segura P, Ujaldón Miró C, Sánchez-Ramón S, Ocaña A, Guzmán Fulgencio M.   +10 more
europepmc   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

Advanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li, Dong Zhang, Eryu Peng, Shijun Shen, Hamid Alinejad‐Rokny, Yao Liu, Junke Zheng, Cizhong Jiang, Youqiong Ye   +8 more
wiley   +1 more source

Special Issue: Exploring Therapeutic Targets in the Evolving Landscape of Cancer Immunotherapy. [PDF]

Int J Mol Sci
Galati D.
europepmc   +1 more source

Integrative Multi‐Omics Analysis Uncovers Immunological Phenotypes Predictive of Combinatorial Immunotherapy Response in Gastric Cancer

Advanced Science, EarlyView.
Current understanding of gastric cancer immunity remains inadequate, leading to suboptimal immunotherapy outcomes. This study introduces a novel tumor immune microenvironment classification system (Inflamed, Desert, and Excluded), advancing traditional histopathological or molecular subtyping toward a functional immunological framework.
Jianchao Wang, Wenfang Zhang, Jiyang Zhang, Chenhui Zhao, Wei Zhang, Menghan Fang, Fangfang Chen, Zhida Wu, Xiaoya Xu, Ziqing Yu, Qiong Zhu, Yi Shi, Dadong Zhang, Xiaofeng Chen, Gang Chen   +14 more
wiley   +1 more source

Cervical cancer immune microenvironment: Mechanisms of HPV-mediated immune evasion and advances in immunotherapy (Review). [PDF]

Oncol Lett
Zhou X, An R, Li X.
europepmc   +1 more source

scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing

Advanced Science, EarlyView.
scPER presents an adversarial‐autoencoder framework that deconvolves bulk total RNA‐seq to quantify tumor‐microenvironment cell types and uncover phenotype‐linked subclusters. Across diverse benchmarks, scPER improves accuracy over existing tools.
Bingrui Li, Xiaobo Zhou, Raghu Kalluri
wiley   +1 more source