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Researchers develop label-free microscopic techniques to visualize extracellular vesicles

The Beckman Institute has developed imaging techniques that capture more information about a tissue compared to traditional methods, allowing for better visualization of extracellular vesicles. These vesicles are known to increase in number and be associated with cancer, particularly breast cancer cells.

SourceBeckman Institute for Advanced Science and Technology·JournalProceedings of the National Academy of Sciences·DateFeb 20, 2020

Research affirms imaging technique's ability to characterize healthy and non-healthy tissue

A study published in SPIE Journal of Biomedical Optics found that diffuse reflectance spectroscopy can reliably discriminate between healthy tissue and tumor tissue, regardless of neoadjuvant chemotherapy status. The technique's feasibility for tumor-margin assessment during breast-conserving surgery has been demonstrated.

SourceSPIE--International Society for Optics and Photonics·JournalJournal of Biomedical Optics·DateNov 27, 2019

Modelling ion beam therapy

Researchers developed a consistent theoretical interpretation of ion beam energy deposition in liquid water jets, crucial for simulating interactions with human tissue. The new model allows for precise targeting of tumors while minimizing damage to adjacent normal tissue.

SourceSpringer·JournalThe European Physical Journal D·DateOct 10, 2019

Two studies show promise, safety of proton therapy in the brain in children with cancer

Two new studies published in Pediatric Blood and Cancer and Acta Oncologica demonstrate the potential benefits of proton therapy for children with brain cancer. Proton therapy shows promising outcomes in improving overall survival and recurrence-free survival rates, particularly in young patients. Additionally, a new technique called p...

SourceUniversity of Pennsylvania School of Medicine·JournalPediatric Blood & Cancer·DateSep 12, 2019

Outcompeting cancer

Researchers at Champalimaud Centre for the Unknown discovered a cell-competition mechanism called fitness fingerprints that allows cancer cells to disguise themselves as healthy cells. By blocking this mechanism, they found that tumour growth can be slowed down, but not eliminated.

Optimizing proton beam therapy with mathematical models

Researchers developed a new model predicting proton beam effects on tumour and normal tissue more precisely, allowing for effective treatment plans. The study replaced traditional radiobiological models with complex ones, showing improved results for low-energy beams.

SourceSpringer·JournalThe European Physical Journal D·DateApr 2, 2019

Tumor cells conquer territory from their neighbors using a newly discovered mechanism

Researchers have identified a molecular mechanism that allows tumor cells to eliminate their neighbors through mechanical competition. The study found that compressed cells are killed by modulated EGFR/ERK signal, which is decreased and then leads to cell death. This discovery suggests a potential therapeutic strategy to halt tumor growth

SourceChampalimaud Centre for the Unknown·JournalCurrent Biology·DateDec 13, 2018

Why we need erasable MRI scans

Researchers have developed next-generation contrast agents that can be turned off using ultrasound, allowing for clearer MRI scans. The new technology relies on nanoscale structures called gas vesicles, which bounce back sound waves and react differently to magnetic fields.

SourceCalifornia Institute of Technology·JournalNature Materials·DateApr 25, 2018

Search for genetically stable bioengineered gut and liver tissue takes step forward

Researchers from Cincinnati Children's Hospital Medical Center and Yokohama City University report a high-volume production method for bioengineered human gut and liver tissues that avoids tumor risks. The new approach uses genetically stable posterior gut endodermal progenitor cells, which can be programmed to form different tissue ty...

SourceCincinnati Children's Hospital Medical Center·JournalStem Cell Reports·DateFeb 8, 2018

Lobachevsky University scientists synthesize a new compound with anti-tumor properties

Researchers at Lobachevsky University have synthesized a multifunctional compound with anti-tumor properties, achieved through the combination of a photoactive organic dye, biological vector, linker, and hydrophilizing fragments. The new compound selectively accumulates in tumor tissues due to its ability to bind to growth factor recep...

SourceLobachevsky University·JournalJournal of Medicinal Chemistry·DateFeb 2, 2018

Tumors heat up

Scientists improve photothermal properties of bismuth sulfide nanorods by adding gold nanodots, increasing heat generation in tumor cells under near-infrared light irradiation. This leads to enhanced inhibition of tumor growth with no toxic side effects.

SourceWiley·JournalAngewandte Chemie International Edition·DateDec 11, 2017

Scientists enlist supercomputers, machine learning to automatically identify brain tumors

A team of researchers from the University of Texas at Austin has created an accurate and efficient method to characterize gliomas, the most common and aggressive type of primary brain tumor. Their system combined biophysical models with machine learning algorithms to analyze Magnetic Resonance imaging data, achieving top results in a c...

Glycans as biomarkers for cancer?

Scientists have developed a bioorthogonal labeling approach to identify sialylated glycoproteins in prostate cancer tissue, which could serve as tumor markers. The method allows for direct assessment of tumor metabolism in its natural environment, providing insights into cancer biology.

SourceWiley·JournalAngewandte Chemie International Edition·DateJun 26, 2017

Dogs help in breast carcinoma research

A University of Zurich study analyzed archived tissues from dog mammary tumors to understand breast carcinoma in both species. The researchers found that tumor cells reprogram healthy cells, promoting tumor growth, a mechanism also observed in human breast carcinoma.

SourceUniversity of Zurich·JournalInternational Journal of Molecular Sciences·DateJun 6, 2017