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Blood cells could serve as a 'thermometer' to detect breast cancer

Researchers have discovered that patients with breast cancer develop alterations in monocytes, a type of leukocyte, early in the disease course. This finding paves the way for enhanced diagnosis and treatment of breast cancer, potentially allowing for earlier identification of aggressive tumors and personalized immunotherapy strategies.

SourceFundação de Amparo à Pesquisa do Estado de São Paulo·JournalClinical & Translational Immunology·DateMay 12, 2020

Indicators of cancer may also be markers of heart failure

A new study discovered that tumor markers for various cancers also predict heart failure severity and mortality in patients with heart failure. The study found strong correlations between cancer markers and known heart failure indicators, suggesting a relationship between cancer and cardiovascular disease.

SourceWiley·JournalJournal of Internal Medicine·DateMay 6, 2020

Editing RNA delivers precision strike on triple-negative breast cancer

Researchers developed a new compound that targets microRNA-21, a molecule linked to aggressive breast cancer, awakening its self-destruct system and killing cancer cells while leaving healthy cells unaffected. In mouse models, the compound showed promise in reducing breast cancer spread and decreasing invasiveness in other cancers.

SourceScripps Research Institute·JournalProceedings of the National Academy of Sciences·DateJan 20, 2020

A new role for a triple-negative breast cancer target

Researchers have discovered that the protein deltaNp63 plays a vital role in supplying energy to the mammary gland during puberty, while also being implicated in aggressive forms of cancer. The findings suggest that targeting this protein could be a viable approach for treating triple-negative breast cancer without affecting normal dev...

SourceUniversity of Pennsylvania·JournalFEBS Letters·DateDec 19, 2019

Developing a new AI breast cancer diagnostic tool

Researchers at Lancaster University have developed a new AI diagnostic tool for breast cancer using Raman spectroscopy to identify unique chemical fingerprints of different types of breast cancers. The algorithm successfully predicted diagnostic patterns for four subtypes with high accuracy, ranging between 70% and 100%.

SourceLancaster University·JournalExpert Review of Molecular Diagnostics·DateDec 2, 2019

Team plucks needle from genomic haystack, finding essential transcription factor binding sites

Researchers have discovered 37 essential FOXA1 binding sites in T47D cells, which act as enhancers to regulate gene expression. The team also developed a machine learning model to predict important transcription factor binding sites, offering promising insights into cancer biology and potential clinical applications.

SourceChildren's National Hospital·JournalProceedings of the National Academy of Sciences·DateNov 11, 2019

New method identifies aggressive breast cancer

A new method has been developed to identify aggressive breast cancer by analyzing tumor tissue signatures, showing a correlation with poor outcome in patients. The study used mouse models and bioinformatics expert to isolate macrophages from mice affected by breast cancer and compared them with those from healthy breast tissue.

SourceUniversity of Bonn·JournalCell Reports·DateOct 29, 2019

Mapping normal breast development to better understand cancer

Researchers used state-of-the-art technology to profile each cell during normal breast development, creating a molecular map to understand how breast tissues are formed and maintained. The team found that cells were already poised to become either basal or luminal cells before birth, with abnormal alterations leading to tumor development.

SourceSalk Institute·JournalCell Reports·DateOct 8, 2019

Cancer: The origin of genetic mutations

Researchers at UNIGE unveil a mutation mechanism essential for cancer development by linking DNA replication failures in cancer cells to their genetic instability. They successfully corrected the effects of replication stress in diseased cells, showing that this phenomenon is controllable and potentially exploitable for therapy.

SourceUniversité de Genève·JournalNature Communications·DateSep 25, 2019

Breast cancer can form 'sleeper cells' after drug treatment

Researchers at Imperial College London found that hormone treatments can induce a dormant state in breast cancer cells, known as 'sleeper cells'. This could provide clues to why some cancers become resistant to treatment and may lead to new ways of preventing recurrence. Further research is needed to unlock the secrets of these cells.

SourceImperial College London·JournalNature Communications·DateSep 2, 2019