Extent of Resection Thresholds in Molecular Subgroups of Newly Diagnosed Isocitrate Dehydrogenase–Wildtype Glioblastoma

Extent of Resection Thresholds in Molecular Subgroups of Newly Diagnosed Isocitrate Dehydrogenase–Wildtype Glioblastoma

Study on the Extent of Resection Threshold in Different Molecular Subtypes of Newly Diagnosed IDH-wildtype Glioblastoma Introduction Glioblastoma (GBM) is the most common malignant brain tumor in adults. Although surgical resection, radiotherapy, and chemotherapy are the current standard treatment regimens, the prognosis of GBM remains poor, with a...

Scalp nerve block alleviates headaches associated with sonication during transcranial magnetic resonance–guided focused ultrasound

In this academic paper, the authors attempt to address the common headache complication during magnetic resonance-guided focused ultrasound (mrgFUS) treatment. Headache is a common complication, and in severe cases, it may even cause patients to be unable to tolerate ultrasound radiation and terminate the treatment. There is currently no establishe...

Targeting PRMT9-mediated arginine methylation suppresses cancer stem cell maintenance and elicits CGAS-mediated anticancer immunity

This study revolves around the protein arginine methyltransferase PRMT9, revealing its important role in acute myeloid leukemia (AML) and its potential as an anticancer target. Researchers found that PRMT9 expression levels were significantly elevated in AML stem cells and leukemic cells. Through gene editing and chemical probes, they discovered th...

A 5' UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions

A 5' UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions

The 5’ untranslated region (5’UTR) is a regulatory region at the start of messenger RNA (mRNA) molecules, playing a crucial role in regulating the translation process and affecting protein expression levels. Language models have demonstrated effectiveness in decoding protein and genomic sequence functions. In this study, the authors introduce a lan...

Sarcoma microenvironment cell states and ecosystems are associated with prognosis and predict response to immunotherapy

Sarcoma microenvironment cell states and ecosystems are associated with prognosis and predict response to immunotherapy

This study utilized a machine learning framework to explore the underlying cell states and cellular ecosystems constituting soft tissue sarcomas, and associated them with patient prognosis and response to immunotherapy. Research Background: Soft tissue sarcomas are rare and highly heterogeneous malignancies of connective tissues, with limited syste...