Results 91 to 100 of about 82,941 (302)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Regulatory Effect of miR497-5p–CCNE1 Axis in Triple-Negative Breast Cancer Cells and Its Predictive Value for Early Diagnosis

Cancer Management and Research, 2021
Wei-Wei Liu, Wei-Dong Li, Yan-Ju Zhang, Man-Li Zhang Breast Center, Cangzhou People’s Hospital, Cangzhou 061000, Hebei Province, People’s Republic of ChinaCorrespondence: Man-Li ZhangBreast Center, Cangzhou People’s Hospital ...
Liu WW, Li WD, Zhang YJ, Zhang ML
doaj  

Fully Humanized Bispecific T Cell Engager Shows Potent Activity in Central Nervous System and Peripheral Tumors

Advanced Science, EarlyView.
This study reports the development of a fully humanized bispecific T cell engager targeting IL13RA2, a tumor‐associated antigen enriched in glioblastoma. This off‐the‐shelf immunotherapy drives potent, antigen‐dependent T cell activation and tumor killing, and prolongs survival in experimental GBM and other solid tumors models without detectable off ...
Joseph T. Duffy, Angela Martin‐Regalado, Benedikt E. Haupt, Jacob R. Pogue, Aditi Thakur, Manuel Fierro Cota, Markella Zannikou, Sol Misener, Vera P. Krymskaya, Kathleen McCortney, Jason Miska, Craig Horbinski, Dmitri Simberg, Maciej S. Lesniak, Charles D. James, Roger Stupp, Irina V. Balyasnikova   +16 more
wiley   +1 more source

BPTF Enhances Chemotherapy Induced Cytotoxicity [PDF]

, 2020
BPTF Enhances Chemotherapy Induced Cytotoxicity Valentina Posada, Depts. of Biology, Chemistry, & Religious Studies, with Dr. Joseph Landry, Dept. of Human Molecular Genetics New chemotherapies and immunotherapy treatments have greatly improved the ...
Posada, Valentina
core   +1 more source

Immuno Magnetic Thermosensitive Liposomes For Cancer Therapy [PDF]

, 2019
The present work describes the encapsulation of the drug doxorubicin (DOX) in immuno paramagnetic thermosensitive liposomes. DOX is the most common chemotherapeutic agent for the treatment of a variety of carcinomas.
Alawak, Mohamad
core   +1 more source

PDZK1 suppresses TNBC development and sensitizes TNBC cells to erlotinib via the EGFR pathway

Cell Death & Disease
AbstractEpidermal growth factor receptor (EGFR)-targeted drugs (erlotinib, etc.) are used to treat multiple types of tumours. EGFR is highly expressed in most triple-negative breast cancer (TNBC) patients. However, only a small proportion of TNBC patients benefit from EGFR-targeted drugs in clinical trials, and the resistance mechanism is unclear. Here,
Yuanzhen Ma, Zhiyu Fang, Hongning Zhang, Yijun Qi, Yuke Mao, Junfang Zheng   +5 more
openaire   +3 more sources

ROS Self‐Supply Nanoplatform Based on Fenton Catalyst for Chemodynamic and Immunotherapy: Reprogramming Cold Tumor Into Hot Tumor in Cancer Treatment

Advanced Science, EarlyView.
A multifunctional HA‐conjugated nanoplatform (HA‐PGMC) integrates CuO2, glucose oxidase, and mil‐100 to enable cascade catalytic ROS generation in tumor microenvironments. This self‐supplying ROS strategy induces immunogenic cell death, reprograms “cold” tumors into “hot” ones, and synergizes with PD‐L1 blockade, achieving potent chemodynamic ...
Man Lung Lee, Jack Chun Hin Chen, Wai Wing Cheng, Kwan Yee Lau, Hiu Yee Kwan, Ngar‐Yun Ellen Poon, Hung‐Wing Li   +6 more
wiley   +1 more source

Molecular genetic predictors of progression of triple negative breast cancer

Сибирский онкологический журнал
Introduction. Triple-negative breast cancer (TNBC) is a group of malignant breast tumors with poor prognosis and varying molecular genetic characteristics. In TNBC, genes determine whether patients belong to clusters that differ in prognosis.
I. S. Panchenko, V. V. Rodionov, V. V. Kometova, S. V. Panchenko, M. G. Sharafutdinov, I. A. Lavrentieva   +5 more
doaj   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

Therapeutic Advantage of Targeting PRMT5 in Combination with Chemotherapies or EGFR/HER2 Inhibitors in Triple-Negative Breast Cancers

Breast Cancer: Targets and Therapy, 2023
Rayan Dakroub,1,2 Solène Huard,1 Yara Hajj-Younes,1 Samyuktha Suresh,1 Bassam Badran,2 Hussein Fayyad-Kazan,2 Thierry Dubois1 1Breast Cancer Biology Group, Translational Research Department, Institut Curie-PSL Research University, Paris, 75005, France ...
Dakroub R, Huard S, Hajj-Younes Y, Suresh S, Badran B, Fayyad-Kazan H, Dubois T   +6 more
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