Results 121 to 130 of about 205,631 (301)

Dynamic Shifts in ER–Plasma Membrane Junctions Signaling Define Pro‐Metastatic N‐Glycosylation and Predict Prostate Cancer Progression

open access: yesAdvanced Science, EarlyView.
Prostate cancer remains a leading cause of male cancer death, yet screening cannot reliably identify aggressive disease, underscoring the need for tissue biomarkers. It is shown that primary tumors increase ER–plasma membrane junction signaling via STIM1/ORP5, whereas metastasis features their loss, Golgi dispersal, and rapid conversion of high‐mannose
Amanda J. Macke   +14 more
wiley   +1 more source

Metastasis and circulating tumor cells [PDF]

open access: yes, 2012
Cancer is a prominent cause of death worldwide. In most cases, it is not the primary tumor which causes death, but the metastases. Metastatic tumors are spread over the entire human body and are more difficult to remove or treat than the primary tumor ...
Dalum, G. van   +2 more
core   +1 more source

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

open access: yesAdvanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu   +10 more
wiley   +1 more source

Prostate-specific membrane antigen is undetectable in choroidal neovascular membrane.

open access: yesJournal of carcinogenesis, 2006
Choroidal neovascular membrane (CNVM) is one of the leading causes of severe visual loss and is often associated with age-related macular degeneration (AMD). Various modalities of treatment, including photocoagulation and surgery, are being considered as options, but with limited success.
Godeiro, Katyanne Dantas   +6 more
openaire   +2 more sources

Tumor‐Induced Splenic Remodeling: Mechanisms of Systemic Immunosuppression and Emerging Therapeutic Opportunities

open access: yesAdvanced Science, EarlyView.
ABSTRACT Despite the transformative impact of cancer immunotherapies such as immune checkpoint blockade, durable clinical responses remain limited. Increasing evidence indicates that antitumor immunity is governed not only by the tumor microenvironment, but also by systemic immune regulation mediated by peripheral immune organs. Among these, the spleen
Yuehua Liu, Xiaoqian Nie, Xiaofei Gao
wiley   +1 more source

PSMA-targeted CAR-macrophages drive glycolytic reprogramming for enhanced prostate cancer immunotherapy

open access: yesJournal of Hematology & Oncology
Although chimeric antigen receptor (CAR)-T cells have demonstrated remarkable efficacy against hematologic malignancies, their effectiveness in solid tumors is limited by poor tumor infiltration and severe cytokine release syndrome (CRS). CAR-macrophage (
Yangli Xu   +10 more
doaj   +1 more source

The Probability of Metastases Within Different Prostate-specific Antigen Ranges Using Prostate-specific Membrane Antigen Positron Emission Tomography in Patients with Newly Diagnosed Prostate Cancer

open access: yesEuropean Urology Open Science
Background and objectives: The association between prostate-specific antigen (PSA) level and probability of metastatic disease on prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) has not yet been ...
Wietske I. Luining   +15 more
doaj   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Identifying systemic lupus erythematosus from serum proteomic profiles using machine learning and genetic risk stratification

open access: yesArthritis &Rheumatology, Accepted Article.
Objectives Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Lupus patients and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu   +2 more
wiley   +1 more source

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