Results 101 to 110 of about 81,406 (283)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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 +4 more
wiley +1 more source
Early Complications After Radical Operations in Breast Cancer Patients [PDF]
Breast cancer is one of the most common Malignancies in women. In many cases, a major component of complex treatment for breast cancer is surgery - radical mastectomy or radical breast resection.The aim of the work – to investigate the frequency and ...
Baranova, A. (Anna) +2 more
core
HLA-DR in Cytotoxic T lymphocytes predicts breast cancer patients' response to neoadjuvant chemotherapy [PDF]
Prediction of breast cancer response to Neoadjuvant Chemotherapy (NACT) is an urgent need to promptly direct non-responder patients to alternative therapies.
Borralho, Paula +4 more
core +2 more sources
PDZK1 suppresses TNBC development and sensitizes TNBC cells to erlotinib via the EGFR pathway
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 +5 more
openaire +3 more sources
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 +16 more
wiley +1 more source
Insights into the Prognostic Value of Small Nucleolar RNA U81 and SNORA7B in Breast Cancer
Jun Zhou,1 Xuan Zhu,2 Jingpei Long1 1Department of Breast Surgery, The Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, People’s Republic of China; 2Department of Radiotherapy, The First Affiliated Hospital of Zhejiang ...
Zhou J, Zhu X, Long J
doaj
Clinical outcomes and patterns of care in the treatment of carcinosarcoma of the breast [PDF]
Purpose: Carcinosarcoma of the breast is a rare yet highly aggressive tumor accounting for \u3c1% of all breast cancers, for which guidance on optimal management and prognosis are sparse.
Acharya, Sahaja +4 more
core +2 more sources
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 +6 more
wiley +1 more source
Ibnu Purwanto,1,* Benedreky Leo,2,* Susanna Hilda Hutajulu,1 Johan Kurnianda,1 Kartika Widayati Taroeno-Hariadi,1 Mardiah Suci Hardianti,1 Amanda Dania Satiti,1 Ery Kus Dwianingsih,3 Didik Setyo Heriyanto,3 Irianiwati Widodo,3 Teguh Aryandono4 ...
Purwanto I +10 more
doaj
Repositioning of Verrucosidin, a purported inhibitor of chaperone protein GRP78, as an inhibitor of mitochondrial electron transport chain complex I. [PDF]
Verrucosidin (VCD) belongs to a group of fungal metabolites that were identified in screening programs to detect molecules that preferentially kill cancer cells under glucose-deprived conditions.
Chen, Thomas C +8 more
core +2 more sources

