Results 231 to 240 of about 519,998 (311)

Correction to: Micro-robotic percutaneous targeting of type II endoleaks in the angio-suite. [PDF]

open access: yesInt J Comput Assist Radiol Surg
Widmann G   +5 more
europepmc   +1 more source

Mitochondrial Calcium Uniporter Drives Chemoresistance in Pancreatic Cancer via Glutathione‐Mediated Stemness Maintenance

open access: yesAdvanced Science, EarlyView.
PDAC has a poor prognosis due to chemoresistance. We revealed that MCU upregulation is associated with chemoresistance and stemness in PDAC. MCU‐mediated Ca2+ influx induced ER stress, activating the PERK‐ATF4/NRF2 axis to enhance PSAT1/SLC711 expression and glutathione synthesis, reducing ROS and maintaining stemness.
Zekun Li   +17 more
wiley   +1 more source

Three‐Year Follow‐Up of Neoadjuvant Tislelizumab with Chemotherapy in Locally Advanced Gastric and Gastroesophageal Junction Adenocarcinoma: Revealing Cancer‐Associated Fibroblast Heterogeneity Corresponding to PD‐1 Blockade Efficacy

open access: yesAdvanced Science, EarlyView.
Heterogeneous cancer‐associated fibroblasts orchestrate dual immune microenvironments in LAGC. Abstract The potential for immunotherapy in patients with locally advanced gastric cancer (LAGC) is recently confirmed. To report the 3‐year follow‐up data are aimed from a novel clinical trial. This is a prospective single‐arm phase II trial.
Yao Lin   +14 more
wiley   +1 more source

A Patient‐Derived Organ‐on‐Chip Platform for Modeling the Tumor Microenvironment and Drug Responses in Pancreatic Cancer

open access: yesAdvanced Science, EarlyView.
Researchers have developed a patient‐derived organ‐on‐a‐chip model for pancreatic cancer by integrating cancer cells with supportive stromal and immune cells inside a microfluidic device. This system mimics the tumor microenvironment, enabling personalized testing of chemotherapy and immunotherapy, and offering new insights into how targeting ...
Darbaz Adnan   +11 more
wiley   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu   +6 more
wiley   +1 more source

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