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Filter by:Head and neck squamous cell carcinoma (SCC) is the sixth most common cancer worldwide, with more than 700,000 new cases and more than 350,000 deaths each year. At present, radiotherapy is an important measure to control the recurrence of head and neck tumors, but almost all patients with head and neck squamous cell carcinoma will have acute inflammatory reactions such as radiotherapy-induced oral mucositis (RIOM) after radiotherapy, which seriously affects the quality of life and radiotherapy efficacy of patients. Serum amyloid A1 (SAA1) is an acute phase protein associated with inflammation. Our previous basic research found that serum SAA1 expression levels can be used as biomarkers to assess the dose received by the receptor in the early stages of radiation damage. At the same time, we confirmed that the serum level of SAA1 in patients with nasopharyngeal carcinoma increased after radiotherapy. Therefore, we intend to conduct a prospective, multicenter, observational study to further explore the predictive power of plasma SAA1 levels for radiotherapy-induced oral mucositis, with a view to early screening and prevention of RIOM patients.
Immune checkpoint inhibitors have ushered in a new era of cancer treatment, bringing significant survival benefits to patients. However, some patients have accelerated tumor growth in the early stage of immunotherapy, called hyperprogression. The quality of life of patients with hyperprogression is seriously reduced, and there is no effective treatment at present, and the prognosis is extremely poor. Therefore, early identification of high-risk groups of hyperprogression is the key to prevent hyperprogression. However, there are no effective biomarkers to predict hyperprogression. By sequencing, proteomics and metabolomics analysis of clinical tissue and blood samples, we found that the level of SAA1 was significantly increased in patients with hyperprogression, and SAA1 was an effective marker for predicting hyperprogression in pan-cancer. We planned to conduct a multicenter, prospective cohort study to verify the reliability of SAA1 as a marker for predicting hyperprogression of immunotherapy in pan-cancer patients.
Radiotherapy is one of the main treatments for malignant tumors, and according to authoritative estimates, about 70% of patients with malignant tumors should receive radiotherapy. However, radiation resistance limits its application and clinical curative effect. To find suitable radiation resistance markers and identify patients with radiation resistance, early part of the patients with appropriate radiotherapy sensitization agent or choose other more efficient and low toxicity of treatment, for improving the prognosis of patients, improve the quality of survival is of great significance, it is also the difficult point in the present study. However, there are no effective biomarkers to predict radiosensitivity. Through our previous basic research and analysis of clinical tumor tissues, we have found that the low expression of copper metabolism domain protein 10 (COMMD10) is associated with radioresistance, and COMMD10 is an effective marker for predicting radiosensitivity. We planned to conduct a single-center, prospective cohort study to verify the reliability of COMMD10 as a predictive marker for radiosensitivity in pan-cancer patients.
The goal of this observational study is to find differences in serum biomarkers between ovarian function and normal individuals.
Acute heart failure (AHF) is defined as new or worsening of symptoms and signs of heart failure and is the most frequent cause of unplanned hospital admission in elderly patients. N-terminal pro-brain natriuretic peptide (NT-pro-BNP) is one of the most developed prognostic markers for AHR patients and. NT-pro-BNP has limitations in terms of diagnostic or predictive accuracy in patients with chronic kidney disease (CKD). Plasma proteomics have the potential to examine underlying pathophysiological and prognostic roles, so we compared the plasma proteomic signature to predict outcomes of patients with or without CKD hospitalized for AHF.
Increasing data has indicated an association between increased soluble B7-H3 (sB7-H3) levels and unfavorable prognosis in patients with malignancies. However, the level of sB7-H3 and its clinical significance in osteosarcoma are not well known. In this present study, we investigated whether sB7-H3 levels in serum could be as a biomarker for osteosarcoma treatment.
Periodontal diseases are one of the most common inflammatory diseases. Periodontal disease results from a complex interplay between the subgingival biofilm and the host immune-inflammatory events that develop in the gingival and periodontal tissues in response to the challenge presented by the bacteria. The net result of these inflammatory changes is the breakdown of the fibers of the periodontal ligament, resulting in clinical loss of attachment together with resorption of the alveolar bone. It is known that smoking is a major risk factor for periodontitis and affects the occurrence and severity of the disease and recovery after periodontal treatment by changing the host response to plaque. Biomarkers can be used to diagnose periodontitis early, to determine the rate of destruction, and also to evaluate the response to treatment. It has been reported that microRNAs (miRNAs) play an important role in development, homeostasis and immune functions, and abnormal miRNA expression may increase the severity of disease progression. It can be thought that early diagnosis can be achieved with the detection of miRNAs in patients with periodontitis, thus helping to prevent bone and tooth loss. To the best of our knowledge, there is no study in the literature investigating the effects of periodontal treatment and smoking on miRNAs in saliva or gingival samples. From this point of view, the aim of our study is to examine and compare miRNA-223 expressions in saliva and tissue samples before and after non-surgical periodontal treatment in individuals with periodontitis and to investigate the effect of smoking on miRNA-223 levels. Materials-Methods: Our study will include 42 people with periodontitis and 42 healthy periodontal patients (84 individuals in total), and these two groups will be divided into two as smokers and non-smokers. Clinical measurements (Plaque index, probing depth, gingival recession, clinical attachment level, bleeding on probing) and salivary sample will be taken from all individuals at the beginning of the study. Non-surgical periodontal treatment will be applied to individuals with periodontitis, gingival samples will be collected during the treatment, clinical measurements and saliva collection will be repeated 4 weeks after the treatment. MiRNA-223 gene expression analysis will be performed by real-time PCR method in saliva and gingival samples of individuals. MiRNA-223 and cotinine levels will be examined to evaluate the effects of smoking before and after treatment in periodontal health and periodontitis. With our study, it is aimed to better illuminate the role of miRNA-223 in periodontitis and also to determine which sample is more reliable by comparing miRNA-223 levels in saliva and tissue samples. Thus, the first step towards the development of diagnostic kits in the future will be taken.
The primary objective of the Vanderbilt Alzheimer's Disease Research Center (VADRC) is to provide local and national researchers with access to a well-characterized and diverse clinical cohort, including participant referrals, biosamples, clinical data, and neuroimaging data. The VADRC Clinical Core will create an infrastructure to support research efforts of both local and national investigator studies to develop early detection, prevention, and treatment strategies for Alzheimer's disease. The Clinical Core intends to enroll up to 1000 participants, including individuals who are cognitively unimpaired, have mild cognitive impairment, or have Alzheimer's disease. This cohort of about 1000 participants will be called the Tennessee Alzheimer's Project. Participants will be seen annually for comprehensive clinical characterization and then referred to other studies to enhance Alzheimer's disease research activities.
This study aims to discover, verify and evaluate the potential biomarkers with regard to the diagnosis, prognostic and/or prediction of diabetic chronic wounds.
To explore the related biomarkers for safety and efficacy of the combination of chemotherapy and tislelizumab in non-small cell lung cancer