Imaging of Neuroendocrine Prostatic Carcinoma. [PDF]
Taher A +9 more
europepmc +1 more source
Screening for prostatic cancer: the case for. [PDF]
Allhoff, E. P. +3 more
core +1 more source
The schematic diagram illustrates the roles of novel immune checkpoints, immunomodulatory factors, cell death and multimodal technologies in cancer immunotherapy. Abstract Cancer immunotherapy has redefined cancer treatment. However, the molecular and cellular basis of immune evasion and therapeutic resistance remains incompletely understood.
Fangquan Chen +7 more
wiley +1 more source
Dural metastases from prostatic cancer or chronic subdural hematoma
Introduction: dural metastases of prostatic adenocarcinoma appear in advanced stagesof the disease and they can be the first manifestation of a prostatic carcinoma, evenwithout urological symptoms.Clinical case: a 71 year-old patient without previous ...
Taboada-Lora Luis Roberto +2 more
doaj
68Ga-PSMA PET-CT and PSMA score affecting therapeutic decision-making in high-risk prostatic carcinoma. [PDF]
Yasmin T +4 more
europepmc +1 more source
Gene amplifications associated with the development of hormone- resistant prostate cancer [PDF]
Purpose: Hormone resistance remains a significant clinical problem in prostate cancer with few therapeutic options. Research into mechanisms of hormone resistance is essential.
Bartlett, J.M.S. +3 more
core
Biomimetic Cell Membrane‐Coated MOFs System for Targeted Cancer Therapy
Biomimetic MOF‐based drug delivery nanoplatforms synthesized using liposomes or cell membranes as camouflage for multiple cancer therapeutics. ABSTRACT The integration of metal‐organic frameworks (MOFs) with cell membrane coatings has emerged as a revolutionary strategy to enhance the therapeutic efficacy of cancer nanomedicine.
Qilu Wu +6 more
wiley +1 more source
Neuroendocrine differentiation in the setting of prostatic carcinoma: contemporary assessment of a consecutive series. [PDF]
Gopalan A +7 more
europepmc +1 more source
Urinary cholesterol in follow-up of patients with urologic carcinomas or benign prostatic hyperplasia [PDF]
Jüngst, Dieter +3 more
core +1 more source
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

