Articles tagged with Tumor Tissue
Research highlights socioecologic factors contributing to racial disparities in breast cancer prognostic scores, emphasizing the impact of structural racism on health outcomes. Additional research is needed to better understand the influence of social determinants on breast cancer biology among disadvantaged communities.
A study published in Nature Methods found that GPT-4 can accurately interpret cell types from single-cell RNA sequencing data, matching human expert annotations in over 75% of cases. The model's robustness and speed were also demonstrated, making it a promising tool for cost-efficient and seamless cell type annotation.
Scientists from UC3M and Johns Hopkins University have developed a computational model that simulates the invasion process of cancer cells based on the characteristics of surrounding tissue and cell junctions. The model allows for predicting tumor evolution in patients by analyzing mechanical properties of the microenvironment.
Researchers have discovered that PR55α, a regulatory subunit of PP2A phosphatase, inhibits p16 expression and blocks cellular senescence induction by γ-irradiation. This finding provides a new insight into the regulation of the p16/RB pathway in response to stressors.
Scientists synthesized major component of mucus and discovered that altering healthy cell mucins made them act more like cancer cells. Researchers created synthetic mucins to study their impact on cancer biology, finding a potential target for cancer treatments.
Researchers at MIT developed GastroShield, a sprayable gel that prevents bleeding and leakage from weakened gastrointestinal tissues during endoscopic procedures. The gel forms a protective layer that reinforces tissue integrity and promotes healing.
Researchers developed a machine-learning model to assess prostate cancer biopsy samples, overcoming limitations of traditional methods. The new model, nnU-Net, provides accurate 3D segmentation of glandular tissue structures, leading to better prognostic analyses and potential improvements in patient outcomes.
Researchers define a 'core senescent profile' in human colon fibroblasts, revealing potential driver proteins involved in CRC. The study's findings provide insights into therapies for improving overall health and preventing CRC.
Researchers found that tumors with high levels of stroma are twice as likely to exhibit chemoresistance to conventional treatment. The study aims to utilize a readily obtainable biomarker, TSP, to tailor more effective treatments for patients diagnosed with ovarian cancer.
A new method for phase-modulated stimulated Raman scattering tomography enables rapid, label-free 3D chemical imaging of live cells and tissues. This technique improves lateral resolution and imaging depth compared to conventional methods.
Researchers found that impaired mitochondrial unfolded protein response causes accelerated telomere shortening in both oocytes and somatic cells of aging mice. This study highlights the link between loss of mitochondrial protein homeostasis, infertility, and somatic aging.
Researchers developed a novel machine learning-based approach to analyze diffuse reflectance spectroscopy data, achieving higher accuracies and speeds than existing methods. The 'wavelength-independent regressor' model overcomes use-error limitations by incorporating diverse datasets, making it suitable for clinical settings.
A new screening tool has been developed to catch endometrial cancer cases earlier, saving lives. The partnership between Pennington Biomedical's Metamor Institute and the LSU School of Medicine has already screened over 2,000 women and found abnormal bleeding in many cases.
A new terahertz biosensor has been developed to detect skin cancer with exceptional sensitivity, leveraging the unique properties of THz waves. The device analyzes a combination of parameters to provide a richer picture of tissue, allowing for accurate differentiation between healthy and cancerous cells.
A new study from the University of Ottawa proposes using vanoxerine, a drug initially developed for cocaine addiction, to potentially treat advanced colon cancer. Vanoxerine has been found to suppress cancer stem cell activity in colon cancer patients' tissues and tumours implanted in laboratory animals. The drug works by interfering w...
Researchers developed a compact, cost-effective PA sensing instrument for biomedical tissue diagnosis, showcasing its potential to streamline sampling processes and improve diagnostic accuracy for breast disease. The instrument successfully differentiated various tissue types based on quantitative spectral parameters.
Researchers from Florida Atlantic University found that alpha-santalol, a compound in sandalwood oil, decreases cell proliferation and induces apoptosis to prevent prostate cancer development. The study showed a 53% increase in normal tissue area in treated mice, indicating protection against prostate cancer progression.
Researchers found significantly higher levels of IL-18 expression in osteoarthritis patients and cells compared to healthy controls. IL-17 promoted IL-18 production through the MEK/ERK/miR-4492 axis, indicating potential therapeutic targets for OA treatment.
Researchers have created a hydrogel that can be used to heal damaged heart tissue and improve cancer treatments. The gel is made from cellulose nanocrystals derived from wood pulp and has a nanofibrous architecture that replicates the properties of human tissues.
Researchers found that artepillin C interacts intensely with tumor cells, altering their fluidity and triggering autophagy. The study's results contribute to a deeper understanding of the substance's action mechanisms and provide insights for future research.
Scientists have created a low-cost imaging device suitable for endoscopic screening programs, offering excellent contrast between healthy and malignant tissue. The new system uses ultraminiature spatial frequency domain imaging technology to detect cancerous lesions with high specificity and sensitivity.
Researchers from Brigham and Women's Hospital and MIT unveiled a new microscopy technology called decrowding expansion pathology (dExPath) that provides novel insights into brain cancer development. The technology enables scientists to study neurological diseases at a never-before-achieved nanoscale level on conventional clinical samples.
Researchers used a novel microscopy technique to image human brain tissue with unprecedented detail, revealing new cells and structures previously invisible. The method could help diagnose tumors, generate more accurate prognoses, and guide treatment decisions.
Researchers report a case of a patient with EGFR L858R mutant non-small cell lung cancer (NSCLC) who experienced durable disease improvement after empirical treatment with osimertinib. The 'Lazarus effect' refers to the phenomenon where cancer appears to recur after seeming to be in remission.
A new study by Northwestern University found that lab-trained AI models are easily misled by tissue contaminants, resulting in errors in diagnoses and vessel damage detection. The researchers suggest improving the problem of quantifying and addressing biological impurities in AI models to enhance accuracy.
A new 3D bioprinted liver tissue model has been developed to study nonalcoholic steatohepatitis (NASH), a serious complication of nonalcoholic fatty liver disease (NAFLD). The model, created using liver cells from healthy or NASH-diseased donors, displays all characteristics of the disease, including fibrosis.
Researchers studied the effects of resveratrol on circadian clock gene expression in young and older human adipose-derived progenitor cells. They found increased levels of some components in older-APCs compared to young-APCs, but also observed gained rhythmicity of some components after resveratrol treatment.
Research reveals that inhaling asbestos or similar nanofibers can lead to pulmonary fibrosis due to their inability to be fully encapsulated by macrophages. The study found that fibers over 15 microns in length cause leaked secretions harmful to alveolar walls, leading to repeated pulmonary lesions and potential fibroma development.
The iStar tool uses advanced techniques to capture both detailed views of individual cells and broader tissue patterns, enabling doctors to diagnose cancers that might otherwise go undetected. It also predicts gene activities at near-single-cell resolution, paving the way for molecular disease diagnosis.
Researchers create new method, called Zman-seq, to track and measure changes on single cells inside the body, revealing history of cells and advancing cancer therapy development. The breakthrough technique uses labeling cells with different time stamps and tracking them in healthy or pathological tissue.
The study found that solely the omicron variant influences cell cycle genes, leading to increased p21 expression and a senescence-associated secretory phenotype. This results in premature cellular senescence, potentially contributing to the reported cytokine storm and development of long-COVID.
New research reveals that early life gene epimutations in the BRCA1 gene may increase the risk of triple-negative breast cancer (TNBC). The study found that these epimutations occurred twice as often in girls than boys and were associated with a higher risk of TNBC, particularly in women who experienced pregnancy-related changes.
Scientists at Tokyo Tech developed self-folding polymers to create smaller, safer gadolinium-based contrast agents for cancer diagnosis and neutron capture radiotherapy. These nanosized complexes show enhanced tumor accumulation and penetration, reducing toxicity while increasing MRI performance.
The Cre-LoxP system's specificity is compromised due to non-specific promoters driving Cre expression, leading to inaccurate results. This limitation requires careful consideration for proper interpretation of experimental outcomes.
Researchers found a significant increase in extracellular vesicles released by aged keratinocytes, which were also enriched with specific microRNAs. These EVs impaired young keratinocyte proliferation and organogenesis, mimicking aged skin defects.
Researchers discuss CRISPR's limitations in generating accurate cancer models, including variable mutations and indels. Despite these challenges, the technology holds promise for cancer research due to its potential for natural selection and Darwinian evolution.
A team of researchers from Texas A&M University is developing a low-cost, safe, and controlled cancer treatment using programmable bacteria. The $20 million project aims to create an efficient bacterial therapeutic that can target cancer cells with high precision, reducing side effects and costs.
A new AI tool combines cancerous and non-cancerous cell patterns to predict breast cancer outcomes, allowing for more precise treatment plans. This could lead to reduced chemotherapy duration and intensity for some patients.
Researchers found that cancer cells with multiple mutations alter cell competition, allowing them to infiltrate and form highly invasive tumors. The study identified a key mechanism, MMP21, which promotes the production of diffusely invasive cancer cells.
Researchers found that treating C. elegans with mitochondrial inhibitors extended their lifespan, improved pharyngeal muscle contraction, reduced lipofuscin content, and decreased energy consumption. The study suggests that these drugs could abrogate aging and extend human lifespan, offering a potential therapeutic approach.
Researchers investigate nanoparticles for cancer treatment, hoping to reduce side effects and improve efficacy. La-Beck's lab aims to understand the body's interaction with nanoparticles and their impact on tumor growth and immune responses.
A new wearable ultrasound patch can accurately image organs within the body without traditional ultrasound equipment, enabling earlier detection of cancers deep within the body. The patch is designed to measure bladder volume, providing valuable insights into kidney health and wellness.
A team at Weill Cornell Medicine mapped the location and spatial features of blood-forming cells in human bone marrow, confirming hypotheses and providing a powerful new means to study diseases. The method, which uses artificial intelligence, identified and determined the positions of about 1.5 million cells in archival samples.
A new AI method combines satellite imaging and ecological analysis techniques to interpret large amounts of data from tumor tissue, providing insights into how cancer works. This approach aims to tailor cancer treatments to individual needs and avoid unnecessary side effects.
A new study by Cleveland Clinic researchers reveals significant differences in cell communication between breast tissue with and without BRCA1/2 gene mutations. This discovery provides a foundation for personalized medicine approaches to prevent and treat breast cancer in mutation carriers.
A new study suggests that analyzing genetic material from nearby healthy tissue may help predict lung cancer's return after treatment. The study analyzed RNA from tumor cells and adjacent, seemingly normal lung tissue and found that the expression of genes associated with inflammation was especially useful for making predictions.
A new study found that the gut microbiota plays a significant role in prostate inflammation in aging men, particularly those with metabolic syndrome. The researchers discovered a strong relationship between IL-6 and IL-18 expression and lipid parameters in the prostate tissue of men with BPH + MetS.
Researchers used spatial transcriptomics to analyze cancer cells at the edge and center of tumors, finding distinct gene expression patterns that can predict clinical outcomes and response to therapy. These findings hold promise for improving treatment strategies across various cancer types.
Researchers from Incheon National University create gelatin patches that generate molecular oxygen to accelerate wound healing. The new hydrogels demonstrate improved coagulation, blood closure, and neovascularization in both in vitro and in vivo experiments.
A study of 185 women found that high neighborhood deprivation was associated with changes in DNA methylation and gene expression in Black women with breast cancer. This suggests a potential link between environmental factors and biological susceptibility to chronic diseases.
Researchers at Johns Hopkins Medicine created a machine learning model to calculate percent necrosis in osteosarcoma patients after chemotherapy. The model achieved an 85% positive correlation with musculoskeletal pathologist results, increasing accuracy to 99% when one outlier was removed. This could help provide patients with earlier...
Researchers have discovered a novel biomarker that enables the evaluation of near-infrared photoimmunotherapy (NIR-PIT) treatment success. The biomarker uses microbubbles to track tumor vessels and measure the effectiveness of NIR-PIT, which combines antibodies and near-infrared light to destroy cancer cells.
A team of researchers found that fibroblast cells cultured on substrates with varying degrees of stiffness exhibit changes in cell structure, function, and TGF-β activity, which regulates ECM architecture. This study provides insights into how mechanical forces influence wound healing and tissue development.
A new method for studying cancer cells' behavior on soft and stiff tissue environments has been developed, revealing crucial survival cues for cell growth. The study challenges the long-held assumption that cells prefer stiffer surfaces, opening up new possibilities for research in cancer biology and tissue engineering.
A team of researchers has developed a new visualization tool combining high-speed cameras and fluorescent injection to distinguish tumor tissue from normal tissue across cancer types. The technique, known as fluorescence lifetime (FLT) imaging, achieved an accuracy of over 97% in distinguishing tumor tissue from healthy tissue.
A new blood test called OvaPrint TM detects specific nucleic acids in the blood, distinguishing between cancerous and benign pelvic masses with high accuracy. The test has the potential to improve treatment outcomes by identifying the best surgical approach for patients with a pelvic mass.
Researchers developed a low-cost, ultrasensitive blood test to detect a highly specific biomarker for multiple common cancers. The test showed promise for early cancer detection and disease monitoring, detecting levels of the biomarker in the blood of patients with many types of cancers.
Researchers developed three new two-photon probes that can visualize organelles in cells, enabling better understanding of cellular functions and tissue imaging. The probes are designed to detect pH levels, viscosity, and ionic species, providing more specific insights into cell viability and treatment responses.
Researchers have successfully developed a robot that can autonomously navigate through living lung tissue, avoiding vital structures such as airways and blood vessels. This innovation enables surgeons to reach previously inaccessible small tumors, improving treatment outcomes for patients with lung cancer.
Researchers developed a DNA damage-induced senescence model in osteoarthritic chondrocytes, which reliably induces cellular senescence and accumulates senescent cells in OA joint tissues. The study provides a useful model to develop therapeutic approaches targeting senescence in osteoarthritis.