Active clinical trials for "Neoplasms"

Therapeutic antibodies that block the programmed death-ligand 1 (PD-L1)/programmed death-1 (PD-1) pathway have revolutionized immuno-oncology by inducing robust and durable responses in patients with various cancer including advanced non-small-cell lung cancer (NSCLC). However, these responses only occur in a subset of patients, even in case of PD-L1 overexpression. Elucidating the determinants of response and resistance but also of severe immune-mediated adverse events is key to improving outcomes and developing new treatment strategies. Biomarkers that predict immune checkpoint inhibitors efficacy and toxicity are urgently needed and could emerge from characterization of tumor microenvironment. The purpose of PREDICTION project is to elucidate response and toxicity predictive immunophenotypic signatures using a new in situ multiplexed strategy with imaging mass cytometry Hyperion. Patients treated with anti-PD-1 pembrolizumab will be selected on their response and toxicity profiles. Then, tumor samples will be analysed with Hyperion technology, allowing delineation of cell subpopulations and cell-cell interactions, highlighting tumor heterogeneity and to determine correlations between response and toxicity features. The number of co-analysable markers enables global vision on the same tissue section. A better understanding of the tumor microenvironment complex system will lead to discover new predictive biomarkers potentially transferable to current practice.

This research is being done to see if the immune (defense) system of people with Multiple Myeloma and Waldenstrom's Macroglobulinemia reacts to the COVID-19 vaccine.

We retrospectively analysed all TEM and TEM-ESD procedures that took place in Surgical Clinic of the Municipal Hospital of Karlsruhe and the Surgery Department of the University Hospital of Mannheim from 2007 to 2021. We evaluated the periopüerative and long-term outcomes of both procedures for adenomas, adenocarcinomas and other tumours seperately and we compared the results between the two techniques.

Covid-19 is associated with a mortality rate of 33-37% in patients with hematological malignancies. At present, the anti-SARS-CoV-2 vaccination represents the most effective strategy for the prevention of Covid-19. Patients with malignancies were excluded from the trials leading to the approval of Comirnaty, Moderna, Vaxzevria and Janssen vaccines. The immunogenicity of these vaccines in immunocompromised patients or with hematological malignancies is an unmet clinical need. The aim of the study is to evaluate the efficacy of vaccination in adult patients with hematological malignancies, who received vaccination according to Italian rules and were in treatment at the Hematology Unit of Varese, Italy Efficacy will be evaluated in terms of serological response, cellular-mediated immune response and prevention of Covid-19. The duration of the study will be 24 months.

Background and Aim: Breast carcinoma is the most common type of cancer and the most common cause of cancer-related mortality among women worldwide. Cancer stem cells (CSCs) are thought to be responsible for tumor initiation, progression, dissemination and resistance to chemotherapy and radiotherapy. CD133 is a trans-membrane glycoprotein which is considered as a putative CSCs marker. It has been extensively used as a stem cell marker for normal and cancerous tissues. Emerging evidence suggests that CD133 may be a critical factor in tumor development, progression and metastasis. The aim of this study was to evaluate expression status of CD133 in invasive ductal carcinoma (IDC) of the breast and its role during breast cancer progression and to correlate its expression with some known clinicopathological parameters.

The purpose of this study is to make a dialectical classification of patients who will receive 131I treatment after operation of thyroid cancer from the point of view of dialectics of syndrome elements of traditional Chinese medicine. By observing the changes of TSH among patients with different syndrome types, investigators can better understand the reasons for the differences in TSH changes among patients. Thus, it provides a basis for putting forward the scheme of stopping taking levothyroxine before iodine treatment, improving the quality of life of patients after radical thyroidectomy, and providing reference for individualized guidance of the timing of radioactive iodine therapy for patients after DTC.

To evaluate the short-term efficacy of novel no-touch combined directional perfusion radiofrequency ablation in the treatment of small hepatocellular carcinoma with cirrhosis.

In this pilot study, the study evaluators will evaluate the ability of positron emission tomography (PET) with 18F-fluorodeoxyglucose (FDG PET) and the computed tomography (CT) perfusion scanner, individually and combined, to predict the effectiveness of anti-angiogenic treatment.

Sonazoid as a new generation of ultrasound contrast agent.This study based on the features of Sonazoid specific angiography and his mechanical index, the role of Sonazoidin in the differential diagnosis of benign and malignant focal liver lesions in different liver background was explored

Lung cancer is the most common cancer with the highest morbidity and mortality in the world. Stagement is closely related to the 5 years of survival rate of patients. The postoperative 5-year survival rate is above 90% for stage ⅠA lung cancer patients, while the 5-year survival rate of stage IV lung cancer patients is less than 5%. Therefore, early screening and diagnosis for lung cancer is a key method to reduce lung cancer mortality and prolong survival for patients. At present, low-dose computed tomography (LDCT) is the most effective method for early detection of lung cancer. In addition to imaging examination, plasma tumor markers detection is also a common clinical detection method for tumor screening and postoperative monitoring. Liquid biopsy is a non-invasive or minimally invasive method for testing blood or other liquid samples to analyze tumor-related markers including nucleic acids and proteins. Several studies have explored the detection of hot spot gene mutations, methylation and methylation changes of DNA, protein markers and autoantibodies in peripheral blood in lung cancer patients. Liquid biopsy has generally become the most popular field for early diagnosis of lung cancer. Based above, it is necessary to combine multi-omics methods to improve the detection of early stage lung cancer. In our study, we intend to integrate molecular features obtained through liquid biopsy and clinical data of lung cancer patients, and develop and prospectively validate a machine-learning method which can robustly discriminate early-stage lung cancer patients from controls.