Oncology

A large English registry analysis shows survival in multiple myeloma declines with each treatment line and is significantly longer in patients receiving autologous stem cell transplant.

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

Low baseline ctDNA and early clearance during treatment are strongly associated with improved response and survival in advanced breast cancer, highlighting ctDNA as a promising predictive and surrogate biomarker.

New data show that deep-learning classifiers can accurately identify key driver alterations in non-small cell lung cancer…

Key cell cycle genes have been identified as prognostic biomarkers in nasopharyngeal carcinoma, enabling a new prediction model that integrates gene expression with clinical factors to improve survival estimation.

Baseline fatigue reported at treatment initiation is associated with a significantly increased risk of severe, life threatening, and fatal cancer treatment related toxic effects.

Perioperative nivolumab significantly improved survival and pathological response in stage III non-small-cell lung cancer, challenging the traditionally poor prognosis associated with N2 nodal disease.

Using large public datasets including TCGA, GEO and GTEx, researchers found that BAZ2B expression was consistently reduced in several cancer types, with particularly marked downregulation in breast cancer.