Oncology

A large US registry study found significantly worse one year cancer survival during 2020 and 2021, with an estimated 17 390 excess deaths linked to COVID-19 pandemic disruptions in care.

Quantitative digital pathology revealed distinct morphometric features among mixed odontogenic tumors, suggesting virtual cell analysis may aid diagnosis when conventional histology is inconclusive.

Epigenetic therapy combined with immunotherapy reshaped the tumour microenvironment in platinum-resistant ovarian cancer, promoting inflammatory immune signalling and disease control in half of treated patients.

A new artificial intelligence system significantly improves MRI-based breast cancer diagnosis, reducing false-positive rates and inter-reader variability while enhancing risk stratification of BI-RADS 4 lesions.

Elevated copper levels in tumour tissues, along with lymph node status and TNM stage, emerged as important discriminators of disease characteristics, highlighting potential links between metal imbalances and CRC progression. 

A comparative study shows that lightweight convolutional neural networks can accurately classify lung cancer histopathology with strong generalisation and reduced computational complexity.

Deep learning integration of FDG PET-CT and clinical data significantly improves survival prediction in non-metastatic breast cancer, offering a transparent and more precise approach to prognostic stratification.

Sarcopenia, myosteatosis, and systemic immune inflammatory index were independently associated with reduced oesophageal cancer survival in patients treated with immunotherapy, supporting their role in prognostic assessment.