Articles tagged with Breast Cancer
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Researchers at Berkeley Lab identified the microenvironment surrounding microvasculature as a niche where dormant breast tumor cells reside. The study reveals that stable microvasculature suppresses growth and creates a dormant niche, while sprouting neovasculature sparks micrometastatic outgrowth.
A new Raman spectroscopy algorithm can accurately diagnose breast cancer and its associated lesions, reducing the need for repeat biopsies. The algorithm showed positive predictive values of 100% and negative predictive values of 96% for detecting breast cancer with or without microcalcifications.
Researchers discovered that nearly two-thirds of solid tumors have genetic mutations that can be targeted by existing compounds. This finding suggests that routine tumor sequencing may become a standard practice in cancer treatment, enabling doctors to personalize treatment regimens for patients.
A new study of young women with breast cancer found that most opted for a mastectomy rather than breast-conserving surgery. Factors associated with this choice included genetic mutations, tumor characteristics, and high levels of anxiety. The researchers hope to shed light on why rates of mastectomies are rising among younger patients.
Researchers at the University of Alberta have identified a genetic marker on chromosome 4 associated with sporadic breast cancer in Alberta women. The study, published in PLoS One, used DNA scans from over 7,200 women and found that those with sporadic breast cancer frequently carried this marker.
A new LSUHSC paper has been selected as the Best Paper of the Year by the National Cancer Registrars Association for its innovative evaluation of cancer stages. The study found that lung and prostate cancers had the highest percentages of unknown stages, with non-hospital reporting sources being a key predictor.
Researchers found that EGFR gummed up the cell's miRNA-processing machinery, preventing tumor-suppressing microRNAs from developing. The epidermal growth factor receptor, known to promote cancer progression, fuels this effect by attaching phosphate groups to a key protein, disrupting its ability to process miRNAs.
Researchers have identified a five-amino acid fragment of prosaposin that significantly reduces metastatic spread in mouse models of prostate, breast and lung cancer. The findings suggest a potential new approach to blocking metastasis in various cancers.
A study published in Journal of the American College of Surgeons found that 35% of Texas women diagnosed with a breast mass between 2000 and 2008 underwent unnecessary surgical biopsies. This represents thousands of women who had surgery unnecessarily, while also driving up healthcare costs.
Despite new recommendations, women in their 40s continue to get routine breast cancer screenings at the same rate as before, with insurance coverage being a key reason for persistence. The study's findings highlight the ongoing challenges in changing behavior and the influence of societal factors on individual decisions.
A clinical trial led by Penn Medicine found that olaparib was effective against advanced pancreatic and prostate cancers in patients carrying BRCA 1/2 mutations. The therapy showed promise in halting disease progression, even in patients whose tumors did not shrink.
Breast cancer survivors who underwent cognitive training showed significant improvement in executive function, verbal fluency, and processing speed. The study suggests online cognitive training as an intervention for cognitive difficulties in breast cancer survivors.
The UIC Center for Clinical and Translational Science has selected six research projects to receive $30,000 per year pilot grants. These grants aim to support the development of new ideas and generate preliminary data for applying for highly competitive grants from outside sources.
A new study suggests that digital direct radiography (DR) is significantly more effective than computed radiography (CR) in detecting breast cancer. DR detected 4.9 cancers per 1,000 mammograms, while CR's detection rate was 21% lower, with 3.4 cancers per 1,000 mammograms.
A nationwide study will examine the influence of genetic testing on clinical treatment decisions among breast cancer patients and their doctors. The 5-year American BRCA Outcomes Among the Recently Diagnosed (ABOARD) study will follow 5,000 Aetna members and provide critical information to improve personalized health care.
A new study found that metformin, a commonly used diabetes drug, did not improve survival rates in older breast cancer patients with diabetes. The study, published in Diabetes Care, examined 2,361 women aged 66 or older and followed them until death or March 30, 2010.
Researchers identified immune gene signatures that predict cancer recurrence in certain breast cancer types, such as basal-like or triple negative disease. These signatures can help doctors make informed treatment decisions and may lead to valuable new strategies in personalized medicine.
A Kaiser Permanente study found that breast cancer patients with strong social relationships, especially positive social interaction, reported improved physical quality of life and reduced pain. Tangible support, such as help with daily tasks, was also crucial for late-stage patients.
A new study found that Black women with breast cancer are three times more likely to delay treatment for over 90 days compared to white women. Low satisfaction with doctor communication is a significant reason for this delay, which increases the risk of mortality from the disease.
Researchers discovered that combining a few microRNAs enhances anti-breast cancer activity without the unwanted side effects of amplifying a single microRNA. This technique targets tumor-specific genes while sparing healthy tissue.
Researchers have discovered that breast cancer patients with dense breasts are more likely to develop aggressive tumors. A protein called DDR2 plays a key role in this process, facilitating the spread of cancer cells by activating a multistep pathway.
A recent study published at the 5th IMPAKT Breast Cancer Conference finds that gene expression tests can effectively tailor cancer treatments to individual patients, despite variability in tumor cell types and gene expression. The researchers analyzed 78 biopsies from 26 tumors and found that some genomic tests were more reliable than ...
A study found a statistically non-significant but clinically significant benefit in adding everolimus to trastuzumab treatment for HER-2 positive early breast cancer. The combination improved clinical response rates, but not pathological response rates, suggesting benefits independent of expected molecular pathways.
A new analysis compared five different scores to predict late recurrence in estrogen-receptor positive breast cancer patients. The Clinical Treatment Score was found to be the best predictor of late recurrence, while the PAM50 Risk of Recurrence and Breast Cancer Index scores added significant prognostic value.
A recent study has revealed the magnitude of variation in gene expression measurements within breast cancers. Combining samples from multiple biopsies from a single tumour can effectively overcome this variation for selected genes, allowing for more precise treatment tailoring and reliable predictions related to disease progression.
Researchers use modern sequencing technology to characterize genetic aberrations in advanced postmenopausal breast cancer patients. The study found that tumours with similar clinical profiles can have distinct genetic characteristics, suggesting the need for tailored treatment strategies.
A gene expression test measures 58 genes in oestrogen receptor-positive breast cancers to differentiate between patients with high and low risk of late recurrence. The test provided significant prognostic information for late distant-relapse-free survival, with better individual risk prediction for women.
A new study found that adding genomics-based testing to the standard diagnostic workup could lead to a change in recommended treatment for some women. The research identified four novel genomic-based subtypes of endometrial cancer, which suggest that genetic changes can help guide treatment decisions.
A large-scale genomic analysis identified distinct subtypes of endometrial cancer based on their genomic makeup, which may respond to targeted drugs already being tested in clinical trials. The findings suggest that a significant portion of high-grade endometrioid tumors should be treated more aggressively after surgery.
Two studies from The Cancer Genome Atlas program reveal genomic landscapes of AML and endometrial cancer, providing new insights into molecular underpinnings. The studies identify four novel tumor subtypes in endometrial cancer and show genomic similarities with other types of cancers.
Women with cosmetic breast implants are at a higher risk of being diagnosed with late-stage breast cancer and having poorer survival rates than those without implants. Researchers found a 26% increased risk of delayed diagnosis and a 38% greater risk of death from breast cancer among women with implants.
Scientists at the University of Michigan have decoded the molecular signals that enable cancer cells to spread throughout the body. By understanding how tumor cells recruit healing cells, researchers can now develop drugs to block these messages and prevent metastasis.
A new study by the University of Leicester found that women from deprived areas have poorer breast cancer survival rates due to late-stage diagnoses. The research suggests that prioritizing early detection in these areas can significantly improve survival chances and reduce deaths.
A big data analysis identified 37 RNA molecules that may predict survival in breast cancer patients with the most common form of invasive ductal carcinoma. The study found a concise RNA signature associated with patient outcome, including early-stage tumors and those with clinical and molecular subclasses.
A comprehensive analysis of 83,399 women found SERMs significantly reduce ER-positive breast cancer incidence by 38%. The study also showed increased thromboembolic events with all SERMs except tamoxifen.
Research found that pregnancy decreases breast cancer risk in humans and mice by down-regulating genes involved in growth factors and immune system. The study also revealed a permanent alteration in mammary tissue stem cells, preventing runaway cell growth characteristic of cancer.
A large-scale trial found that integrated 2D and 3D screening detected more cancers and reduced false positives compared to 2D screening alone. The study showed a rate of 5.3 cancers per 1,000 screens detected by 2D screening versus 8.1 with combined 2D and 3D screening.
A study at Lund University found that drinking two or more cups of coffee daily may reduce the risk of breast cancer recurrence in patients taking Tamoxifen. Caffeine has been shown to hamper cancer cell growth and activate Tamoxifen, making it more efficient.
A prospective study by Brigham and Women's Hospital researchers observed an association between a history of non-melanoma skin cancer and increased risk of breast, lung, and melanoma cancers. The study found that people with non-melanoma skin cancer had a modestly increased risk of getting these cancers in the future.
New research reveals microwave tomography can effectively monitor breast cancer treatment, identifying shrinking tumors and guiding timely treatment changes. This non-invasive imaging technique is low-cost, easy to repeat, and unaffected by factors like body mass index or age.
A new pathway has been identified that enhances tamoxifen's effectiveness in treating basal-like breast cancer, a subtype resistant to treatment. The discovery involves targeting Cdc42 protein to restore normal function of c-Cbl and improve cancer cell death.
Researchers at Karolinska Institutet developed a method to assess tamoxifen's effect on breast cancer, using mammograms. Women showing a 20% reduction in breast density have a 50% reduced risk of dying from breast cancer over 15 years.
Researchers discovered metastasis stem cells in the blood of breast cancer patients, characterized by specific surface molecules CD44, CD47, and MET. These cells are associated with a poorer prognosis and may serve as a promising biomarker for disease progression.
Researchers are working on a technique that can help identify and treat cancer tumors using manganese-enhanced magnetic resonance imaging (MEMRI). The goal is to guide and individualize treatment based on the presence of specific calcium channels in tumors.
Researchers at Ohio State University Comprehensive Cancer Center found that AS1411 reduces cancer aggressiveness by inhibiting microRNA maturation, while restoring sensitivity to fulvestrant in resistant cells. The study suggests a new strategy for treating breast cancer.
A commonly used drug, ACE inhibitor, can limit radiation damage to the lungs and heart in cancer patients. The study found that this treatment improved the heart's function and decreased fibrosis in the heart after irradiation.
A randomised trial found that intensity modulated radiotherapy (IMRT) significantly reduced skin telangiectasia and improved cosmetic effect in patients with early breast cancer. IMRT delivers an even dose of radiation, reducing undesirable side-effects.
A study found that low-dose aspirin slowed the growth of two breast cancer lines in lab tests and reduced tumor growth in mice. The compound also inhibited tumor cells from spreading and enhanced the effect of tamoxifen, a common drug therapy for hormone-receptor positive breast cancer.
A new UCLA study finds a significant correlation between poorer performance on neuropsychological tests and memory complaints in post-treatment, early-stage breast cancer patients. The research suggests that 'chemo brain' may involve neurophysiological changes associated with chemotherapy and radiation treatment.
A novel monoclonal antibody targeting SFRP2 has been shown to inhibit tumor growth in pre-clinical models of breast cancer and angiosarcoma. The antibody is the first therapeutic discovered that targets SFRP2, a protein linked to angiogenesis and cancer progression.
A study from Yale University found that two views are better than one in 3D breast screening to ensure optimal cancer detection. The CC view achieves better compression and shows lesions clearer due to its ability to compress the breast tissue.
A new study suggests that tomosynthesis increases breast cancer detection rates by 11%, particularly benefiting women with dense breasts. The technology's improved performance in dense breast tissue was attributed to its ability to detect invasive and intraductal cancers more accurately.
Research found that low-vitamin D season can reduce breast cancer treatment effectiveness by up to 30%. The study identifies seasonal and genetic factors affecting tamoxifen metabolism.
A new study reveals that breast ultrasound screening after mammography can detect an additional 3.4 cancers per thousand women screened in those with greater than 50% breast density. The detection rate is comparable to that of screening mammography for women with less dense breasts.
Researchers identified three BRCA1 gene variants as pathogenic, increasing breast and ovarian cancer risk. These findings will improve genetic counseling and allow for personalized cancer assessment.
Dr. Susan E. Clare's research aims to deliver chemotherapy directly to brain metastases using immune cells and nanoparticles, targeting HER2 positive and triple negative breast cancers. The system uses nanoshells coated with gold to release drugs at will in the appropriate spot in the brain.
A study by researchers at Fred Hutchinson Cancer Center found that fewer than 8% of breast cancer survivors met national exercise guidelines over a 10-year period. Despite benefits such as reduced mortality and improved quality of life, many survivors struggle to maintain adequate physical activity.
Researchers at Columbia University developed a new computational model that uses gene signatures to predict breast cancer survival with high accuracy. The model, which won a crowd-sourced challenge, has the potential to improve diagnostic and prognostic products for multiple types of cancer.
The DREAM Breast Cancer Prognosis Challenge successfully predicted better breast cancer progression than existing models, using genomic and clinical information from 2000 women. The winning team, Attractor Metagenes, developed a model based on 'attractor metagenes,' gene signatures that behave similarly in multiple cancer types.
Researchers at Lund University have discovered that exosome molecular profiles reflect the aggressiveness of brain tumours, offering a new approach for diagnosis and treatment. The study's findings suggest that exosomes could serve as biomarkers to guide patient care and monitor treatment response.