Articles tagged with Tumor Tissue
A new study from the University of Texas M. D. Anderson Cancer Center found that at least 3% of normal breast tissue cells in healthy women contain chromosome abnormalities associated with invasive breast cancer, which may guide future approaches to early detection.
Researchers identified three subtypes of fibroblasts in skin cancer: myofibroblast-like RGS5+ CAFs, matrix CAFs (mCAFs), and immunomodulatory CAFs (iCAFs). The distribution of these subtypes varies with tumor aggressiveness. iCAFs produce signaling factors to activate immune cells, while mCAFs prevent T cell invasion.
Researchers at University of Toronto have developed a new microfluidic platform, ReSCUE, that allows for unprecedented control and manipulation of tumor shapes. This enables the formation, release, and transfer of patient-derived tumoroids, providing insights into how tumor shape predicts cancer cell behavior and aggressiveness.
A new CNIC study identifies a surprising mechanism through which tissue viscoelasticity counteracts the sensing of rigidity. Cells respond to ECM viscoelasticity regulating response times and outweighing high-rigidity sensing.
Researchers developed a new photoacoustic imaging technique that addresses skin tone bias in breast cancer detection. The technique, combined with specific wavelengths and beamforming methods, enhances target visibility across all skin tones, providing clearer images with improved signal-to-noise ratios.
A deep learning AI model can identify pathology in images of animal and human tissue much faster and often more accurately than people, potentially revolutionizing disease-related research and medical diagnosis. The model was trained using images from past epigenetic studies and showed accuracy comparable to human experts.
Researchers developed a new AI-powered diagnostic system, FastGlioma, which reveals invisible cancerous tissue in brain tumor surgery. The technique may delay or prevent recurrence of high-grade tumors and improve patient survival.
A new study by MIT engineers reveals that exercise can stimulate nerve growth, with neurons growing four times farther in the presence of myokines released during muscle contractions. Physical effects of exercise, such as repeated stretching and pulling, also promote nerve growth, challenging previous biochemical-only theories.
Emerging endoscopic technologies, such as wide-field and microscopic-field techniques, enhance CRC screening. AI-driven tools improve polyp detection rates and reduce biopsy rates, while robotic colonoscopy offers procedural precision and patient comfort.
Researchers gather data from 400 women to analyze the effects and interactions of Bacterial Vaginosis on immune cells and vaginal tissue, hoping to develop more effective personalized treatments.
Researchers developed a new imaging technique using fluorescence-guided surgery to enhance visibility of tumors and nerves during head and neck cancer surgery. The technique uses two near-infrared fluorophores, one for tumors and another for facial nerves, allowing for clear differentiation between cancerous tissues and nerves.
A new anti-cancer agent has been developed that targets glutathione in cancer cells, switching it off and causing tumor shrinkage. The catalyst-based therapy accumulates specifically in tumor tissue, showing promising results in animal studies and potential for further human trials.
A team of biomedical engineers from the University of Melbourne has developed a groundbreaking 3D printing system that can fabricate complex human tissues in just seconds. This technology significantly improves the potential to predict and develop new pharmaceutical therapies, reducing the need for animal testing.
Researchers at MIT have designed tiny particles that can be implanted at a tumor site, delivering heat and chemotherapy to treat cancer. The treatment approach has been shown to completely eliminate tumors in most mice and prolong their survival.
Researchers have developed a 'mini-protein' that targets cancer cells expressing Nectin-4, allowing for direct delivery of radiation to tumours. The treatment shows promise in targeting multiple types of cancers and has the potential to be safe for repeated administrations.
Scientists at St. Jude Children's Research Hospital found that nutrient availability affects T cell development and mitochondrial activity, inhibiting T cell formation in lysosomes. The study highlights the crucial role of organelle signaling, such as mitochondrial and lysosomal function, in shaping tissue immunity.
A research team has developed a simplified synthesis method for organic fluorophores using formaldehyde, reducing molecular size and increasing atomic efficiency. The new technique can also be applied to in vivo environments, showing promise for life sciences research and diagnostics applications.
A new hand-held scanner can generate highly detailed 3D images in seconds, paving the way for earlier disease diagnosis. The technology uses laser-generated ultrasound waves to visualize subtle changes in blood vessels, helping inform patient care and diagnose conditions like cancer and cardiovascular disease.
Researchers at ETH Zurich have found an antidepressant, vortioxetine, effective against glioblastomas, a particularly aggressive brain tumor with no cure. The drug's ability to cross the blood-brain barrier and trigger a signalling cascade makes it promising for treating this deadly tumour.
The Cancer Cooperative Group System is being re-engineered to bring new money to correlative science research through public-private partnerships, aiming to remove barriers for researchers to access biological samples. This will facilitate the integration of innovative science into cancer clinical trials.
A new Northwestern Medicine study identifies critical language connector sites in the cerebral cortex that work together to produce language. These sites serve as connectors between subnetworks of people, serving a similar function for language in the brain.
Researchers at NYU Abu Dhabi have developed nanoscale covalent organic frameworks (nCOFs) modified with peptides to treat triple-negative breast cancer. The COFs selectively release drug cargo within the acidic environment of tumors, improving treatment effectiveness and minimizing side effects.
MicroDicer and MicroGrater tools enable efficient creation of uniform organoids from tumor samples, allowing researchers to test multiple cancer therapies and improve data quality. The precision cutting tools facilitate bespoke, personalized cancer therapy by standardizing process flow and organoid sizes.
A new AI model generates detailed images of cancer tissue that imitate what its staining would look like, reducing the need for resource-intensive lab analyses. The VirtualMultiplexer uses contrastive unpaired translation to create accurate virtual pictures of diagnostic tissue colorations.
A common skin fungus, Malassezia globosa, may invade deep tissues and cause tumor growth in breast cancer, according to a new study published in mBio. The researchers found that M. globosa colonizes in breast fat pads leading to tumor growth, suggesting a potential link between fungal colonization and cancer progression.
The new AI model, CHIEF, can diagnose cancer, guide treatment choice, and predict survival across multiple cancer types. It detects cancer cells and predicts a tumor's molecular profile with superior accuracy to most current AI systems.
A new automated scoring system using deep learning and pyramid sampling analyzes morphological features at various spatial scales to enhance the accuracy of HER2 assessment. The system achieved a classification accuracy of 84.70% in blind testing, comparable to experienced pathologists.
Researchers have discovered that dialyl-sulfide and trans-chalcone can prevent breast cancer by targeting SULT1E1 and HIF1a-MMPs. These compounds neutralize oxidative stress and induce the expression of SULT1E1, leading to decreased HIF1a and MMP production.
A new AI-based digital platform has been developed to analyze tissue sections from lung cancer patients, making diagnosis faster and more accurate. The platform uses algorithms that enable fully automated analysis of digitized tissue samples, allowing for personalized therapy based on molecularly specific genetic changes.
A new clinical algorithm developed at the University of Gothenburg can accurately identify highly aggressive forms of basal cell carcinoma. The algorithm uses a combination of clinical and dermoscopic images to distinguish between low-risk and high-risk tumors, allowing for more effective treatment and better patient outcomes.
A recent study published in Frontiers in Immunology highlights the crucial role of tissue-resident memory T cells in non-small cell lung cancer. The research found that these cells can significantly impact patient outcomes and guide personalized treatment strategies, particularly those involving immunotherapy.
Terasaki Institute scientists have created a novel bioink derived from egg whites, offering abundant proteins and excellent biocompatibility. This breakthrough technology has the potential to create more accurate tissue models for drug testing and develop functional tissue replacements for regenerative medicine applications.
A new study published in Aging explores the potential of three large DNA methylation datasets to identify biological age signals in dogs. The researchers found that biological age methylation clocks are affected by population stratification and require heavy parameterization to achieve effective predictions.
Scientists improve stability and bioavailability of mRNA nanocarriers using triphenylphosphonium, leading to increased protein production in tumor tissues. The TPP-based system also shows higher mRNA levels in blood after 30 minutes compared to amine-based micelles.
A distinct TNF-α signaling program has been identified as a key driver of epithelial cancer development, contributing to cell proliferation and invasion. The researchers found that this program is active in both normal tissues and tumors, but its level of activity correlates with tumor aggressiveness.
Researchers have developed a new technique called burst sine wave electroporation (B-SWE) that can disrupt the blood-brain barrier around brain tumors without causing significant damage to healthy tissue. This method shows promise for treating aggressive brain cancers like glioblastoma, which currently have limited treatment options.
Researchers at Tufts University have identified the immune cells driving cardiac inflammation in cancer patients taking doxorubicin, a commonly used chemotherapy drug. Blocking these cells could potentially prevent cardiac damage and make treatment safer for patients.
The study found that exercise increased PEDF levels in skeletal muscles and suppressed senescence markers in the lungs. PEDF also reduced senescence markers in multiple tissues and attenuated decline in respiratory function in pulmonary emphysema mouse model, suggesting its potential as a therapeutic agent for age-related diseases.
Researchers at the University of Notre Dame have developed a wireless LED device that can be implanted to treat deep-seated cancers. The device, combined with a light-sensitive dye, destroys cancer cells and triggers an immune response against them.
A new liquid biopsy method analyzes gene fragments in the bloodstream to detect and track cancer, enabling oncologists to tailor treatment approaches to individual patients. This non-invasive test can help monitor treatment success, detect cancer recurrence, and improve patient quality of life.
A new global definition of sarcopenia is proposed, aiming to unify research and clinical practice. The definition may help identify low muscle mass or strength in older people, increasing the risk of poor outcomes such as fragility and disability.
A platform called Open-ST enables scientists to reconstruct gene expression in cells within a tissue in three dimensions, capturing molecular and (sub)cellular structures. The platform was used to study cell types at subcellular resolution in tissues from mice brains, tumor tissue, and healthy lymph nodes, providing insights into cance...
Researchers have trained an AI model to identify DNA methylation patterns indicative of different cancer types, achieving 98.2% accuracy. This breakthrough could enable early detection and screening of cancers, leading to improved patient outcomes.
Researchers at Johns Hopkins Medicine have developed a 3D genomic profiling technique to identify small precancerous lesions in the pancreas, which can lead to aggressive pancreatic cancers. The study provides the most detailed 3D map of precancerous lesions in the human pancreas to date.
Researchers found TIMP-1 enhances antitumor immunity through self-stimulation and activates immune cells. Increasing TIMP-1 expression could improve cancer immunotherapies in patients with deficient immune responses.
A new AI model has been shown to significantly improve the accuracy of diagnosing prostate cancer by 45 times compared to doctors' measurements alone. The system assists in mapping out the boundaries of cancerous tissue, reducing the risk of underestimation and enabling more precise treatment planning and effective surgical procedures.
Researchers at Texas A&M University have discovered a new technique for tissue regeneration using mineral-based nanomaterials inspired by ancient medical practices. The approach aims to induce natural bone formation, reducing the need for invasive procedures and long-term medication, and promoting improved quality of life.
A new study published in Nature Biomedical Engineering shows that targeted cancer treatment using antibody-displaying extracellular vesicles reduces tumour growth and improves survival in mice. The treatment has the potential to be used against other diseases and cancer types, offering a more effective and fewer side effects compared t...
Researchers found that endothelial cells in breast cancer tumors are two times more likely to interact with medicine-carrying nanoparticles than healthy endothelial cells. This discovery could lead to more efficient and targeted delivery of cancer nanomedicines.
Higher childhood body size may reduce breast cancer risk by forming less dense breast tissue, which is a known risk factor for the disease. The study found that over 50% of the protective effect is explained by changes in dense breast tissue.
Researchers have developed a new method to detect malignant melanoma using a microneedle patch that measures tyrosinase enzyme levels in the skin. This non-invasive technique has the potential to provide faster and more reliable results compared to traditional biopsies.
Researchers found a significant association between neighborhood deprivation and DNA methylation in brain tissue, which may be linked to immune response. The study identified one CpG site (cg26514961, PLXNC1 gene) significantly associated with neighborhood deprivation after controlling for covariates.
Researchers developed Tripath to analyze 3D tissue samples, predicting clinical outcomes based on 3D morphological features. This approach outperformed traditional methods, providing promising potential for guiding critical treatment decisions.
Researchers have developed a new imaging technique that rapidly and accurately identifies cancerous tissues in breast samples. The method uses machine learning algorithms trained on hyperspectral dark-field microscopy data to pinpoint regions of invasive ductal carcinoma and invasive mucinous carcinoma.
Researchers discovered that aggressive cancer cells pull more strongly on the extracellular matrix than on themselves, while noninvasive cells pull more strongly on themselves. The study found that the interplay between these contractility modes determines a cell's potential for escape and tumor aggressiveness.
Research suggests that four proposed AI search engines for automating search and retrieval of digital histopathology slides have inadequate performance for routine clinical care. The algorithms showed less than 50% accuracy in some cases, highlighting the need for rigorous external validations and standardization before clinical adoption.
Researchers have identified an inflammatory protein profile associated with poor survival in aggressive B-cell lymphoma patients. Protein profiles from blood samples can help classify subtypes of the disease and monitor patient response to treatment.
Researchers have developed a novel rigid endoscope system for visible-to-OTN hyperspectral imaging, enabling non-destructive imaging and visualization of lesions in normal tissues. The system demonstrated high accuracy in classifying molecular vibration information of various targets with an OTN wavelength range.
A study by the University of Gothenburg found that women with triple-negative breast cancer and high immune cell levels have a lower relapse risk after surgery. This suggests that these patients may not need chemotherapy, despite having faster-growing tumors and higher relapse rates than other breast cancers.
Researchers found that ~60% of tissues exhibit a significant negative correlation between age and stemness score, indicating a pan-tissue decline in stemness. This study adds weight to the idea that stem cell deterioration contributes to human aging, with hematopoietic stem cells from older individuals showing higher stemness scores.