Researchers have made significant advancements in understanding the earliest stages of stomach cancer, a leading cause of cancer-related deaths worldwide, through two recent innovative studies. With a ...

For the first time, researchers have used lab-grown organoids created from tumors of individuals with glioblastoma (GBM) to accurately model a patient's response to CAR T cell therapy in real time.

Researchers sought to test the performance of a deep learning model system using longitudinal magnetic resonance imaging (MRI) in predicting early recurrence in patients with hepatocellular carcinoma.

A proposed cancer survivorship model that involves interdisciplinary coordination and the use of digital tools has the potential to “move the outcomes needle,” according to researchers.In a paper ...

Brain Tumor Organoids Accurately Model Patient Response to CAR T Cell Therapy Dec. 9, 2024 — Researchers used lab-grown organoids created from tumors of individuals with glioblastoma (GBM ...

This work developed a new deep learning framework, MULGONET, to predict cancer recurrence and identify key biomarkers by ...

A new research paper was published in Oncotarget, Volume 16, on March 27, 2025, titled "Imipridones ONC201/ONC206 + RT/TMZ ...

This paper explores the potential of mitochondrial-associated programmed-cell-death (mtPCD) patterns as biomarkers for predicting the prognosis of non-small-cell lung cancer (NSCLC). NSCLC is the most ...

New findings may help patients with low to moderate risk of tumor lysis syndrome while reducing the burden for hematologists.

City of Hope researchers demonstrate proof of concept for a novel targeted therapy for pancreatic cancer, exploiting transcription-replication conflicts to combat treatment resistance.

Sponsored content brought to you by In the rapidly advancing field of immuno-oncology research, there has been increasing ...