Tissue factor (TF) is a cell surface protein that plays a role in blood clotting but is also commonly expressed in many cancers. Recent research implicated TF in cancer proliferation, metastasis, angiogenesis, and immune escape. Therefore, TF can be considered a viable therapeutic target against cancer.
View Article and Find Full Text PDFImmune checkpoint inhibitors (ICI) have become integral to treatment of non-small cell lung cancer (NSCLC). However, reliable biomarkers predictive of immunotherapy efficacy are limited. Here, we introduce HistoTME, a novel weakly supervised deep learning approach to infer the tumor microenvironment (TME) composition directly from histopathology images of NSCLC patients.
View Article and Find Full Text PDFDetailed evaluation of prostate cancer glands is an essential yet labor-intensive step in grading prostate cancer. Gland segmentation can serve as a valuable preliminary step for machine-learning-based downstream tasks, such as Gleason grading, patient classification, cancer biomarker building, and survival analysis. Despite its importance, there is currently a lack of a reliable gland segmentation model for prostate cancer.
View Article and Find Full Text PDFNanobodies, or single-domain antibody fragments, are promising candidates for molecular imaging due to their small size, rapid tissue penetration, and high target specificity. However, a significant challenge in their use is high renal uptake and retention, which can limit the therapeutic efficacy and complicate image interpretation. This study compares five different fluorine-18-labeled prosthetic groups for nanobodies, aiming to optimize pharmacokinetics and minimize kidney retention while maintaining tumor targeting.
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