Results 171 to 180 of about 276,669 (295)

Toxoplasmosis in patients with an autoimmune disease and immunosuppressive agents: A multicenter study and literature review. [PDF]

PLoS Negl Trop Dis, 2022
Durieux MF, Lopez JG, Banjari M, Passebosc-Faure K, Brenier-Pinchart MP, Paris L, Gargala G, Berthier S, Bonhomme J, Chemla C, Villena I, Flori P, Fréalle E, L'Ollivier C, Lussac-Sorton F, Montoya JG, Cateau E, Pomares C, Simon L, Quinio D, Robert-Gangneux F, Yera H, Labriffe M, Fauchais AL, Dardé ML.   +24 more
europepmc   +1 more source

Vorinostat Potentiates Chemoimmunotherapy in Immune‐Enriched Pancreatic Cancer

Advanced Science, EarlyView.
Immune‐enriched pancreatic cancer does not confer a significant survival advantage. SAHA sensitizes these “hot” tumors to chemoimmunotherapy by disrupting a FASN/PARP9‐driven “metabolic trap” and enhancing CD8+ T cell function. A CD8high/FASNhigh/PARP9high signature identifies patients who are most likely to benefit from the “gemcitabine‐nivolumab‐SAHA”
Chen Chen, Dingru Li, Yingna Liao, Zehua Wang, Chunbin Zhu, Zifeng Zhang, Liquan Jin, Yueyue Chen, Jiaoshun Chen, Junyi Xu, Miaoyan Wei, Rong Tang, Xianjun Yu, Si Shi   +13 more
wiley   +1 more source

Treatment of systemic lupus erythemus overlap syndrome with autoimmune hepatitis using a combination of glucocorticoids and immunosuppressive agents: Case report. [PDF]

Medicine (Baltimore)
Li Z, Zha Z, Zhang S, Jiang T, Wu Y, Lu W, Li Y, Liu J, Lin L.   +8 more
europepmc   +1 more source

Comparative the efficacy and acceptability of immunosuppressive agents for myasthenia gravis: A protocol for systematic review and network meta-analysis. [PDF]

Medicine (Baltimore), 2022
Xu P, Zhang Y, Chang T, Jiang L, Lv Z, Zhang Y, Xu H, Zhang D, Lan T, Cui Y, Hua Z, Gao C, Lu J, Huang Q, Tian J, Ma J, Wang J.   +16 more
europepmc   +1 more source

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

Th17 cell function in cancers: immunosuppressive agents or anti-tumor allies? [PDF]

Cancer Cell Int
Anvar MT, Rashidan K, Arsam N, Rasouli-Saravani A, Yadegari H, Ahmadi A, Asgari Z, Vanan AG, Ghorbaninezhad F, Tahmasebi S.   +9 more
europepmc   +1 more source

Immunosuppressive Agents and Infectious Risk in Transplantation: Managing the "Net State of Immunosuppression". [PDF]

Clin Infect Dis, 2021
Roberts MB, Fishman JA.
europepmc   +1 more source

Enhancing CAR‐T Cell Efficacy in Solid Tumors by Inhibiting CCL5/VEGF‐Mediated Angiogenesis

Advanced Science, EarlyView.
This study reveals that CAR‐T cells in solid tumors produce CCL5, which paradoxically induces VEGF and angiogenesis to promote tumor growth. Blocking CCL5/VEGF signaling—through gene knockout, or the CCR5 inhibitor maraviroc—significantly enhances the antitumor efficacy of CAR‑T therapy (the diagram was created in Biorender).
Shishuo Sun, Qihong Li, Bixi Wang, Gang Wang, Ying Xue, Yibing Liang, Chenhe Hu, Zhenyu Wang, Xiaoge Gao, Haiheng Xu, Jun Song, Hailong Li, Liantao Li, Xiaoxiao Liu, Patrick Ming‐Kuen Tang, Qing Zhang   +15 more
wiley   +1 more source

Immunosuppressive Agents

Nishi Nihon Hifuka, 1974
  +6 more sources

Pharmacological immunosuppressive agents

, 1981
openaire   +2 more sources