Publications by authors named "Dimitra Foteinou"

Article Synopsis
  • Esophageal cancer has a poor outlook and requires a team-based approach for diagnosis and treatment, utilizing advanced methods like high-definition endoscopy and pathology confirmation for accurate diagnosis.
  • * Recent advancements in artificial intelligence, specifically deep learning, show promise in aiding endoscopists by improving accuracy in detecting pre-cancerous conditions and minimizing unnecessary procedures.
  • * This manuscript reviews recent studies on deep learning in esophageal cancer management and provides guidance for clinicians on its application, evaluation metrics, and limitations in image analysis.
View Article and Find Full Text PDF

Immune checkpoints (ICs) are molecules implicated in the fine-tuning of immune response via co-inhibitory or co-stimulatory signals, and serve to secure minimized host damage. Targeting ICs with various therapeutic modalities, including checkpoint inhibitors/monoclonal antibodies (mAbs), antibody-drug conjugates (ADCs), and CAR-T cells has produced remarkable results, especially in immunogenic tumors, setting a paradigm shift in cancer therapeutics through the incorporation of these IC-targeted treatments. However, the large proportion of subjects who experience primary or secondary resistance to available IC-targeted options necessitates further advancements that render immunotherapy beneficial for a larger patient pool with longer duration of response.

View Article and Find Full Text PDF

More than ten years after the approval of ipilimumab, immune checkpoint inhibitors (ICIs) against PD-1 and CTLA-4 have been established as the most effective treatment for locally advanced or metastatic melanoma, achieving durable responses either as monotherapies or in combinatorial regimens. However, a considerable proportion of patients do not respond or experience early relapse, due to multiple parameters that contribute to melanoma resistance. The expression of other immune checkpoints beyond the PD-1 and CTLA-4 molecules remains a major mechanism of immune evasion.

View Article and Find Full Text PDF