Tumours with a greater IGR burden could respond better to immune checkpoint blockades, advancing precise treatments for patients.
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Low-dose positron emission mammography (PEM) has a high sensitivity for detecting cancer and reduces the likelihood of false positives.
Inhibition of FAM3C expression in cancer-associated adipocytes during early tumour development holds promise as a novel treatment approach.
Researchers discover a key metabolic process that cancer cells use to grow in a nutrient deprived environment, which could be a new target.
New imaging technology called fluorescence lifetime (FLT) imaging improves the accuracy of cancer surgery for multiple tumour types.
Findings from using a 3D hydrogel to study how cancer cells physically tear the basement membrane offers promise for targeted treatment.
Mammary organoid cultures show the effects of BRCA2 mutations on breast tissue cells, increasing the likelihood of early, targeted treatment.
Researchers have discovered a molecule that binds to a cancer cell protein, stopping growth of breast and ovarian tumours.
Artificial intelligence (AI) and machine learning (ML) have been gaining significant attention lately, primarily in discussions about their responsible utilisation. However, these technologies possess a wide spectrum of practical applications, ranging from predicting natural disasters to addressing social disparities. Now, AI is making its mark in the field of cancer…
Important step achieved by US researchers as stable and potent immune therapy delivery system eradicates tumours in mouse models of melanoma, colon, and breast cancer, while preventing the formation of future tumour.