search

Active clinical trials for "Lung Neoplasms"

Results 5741-5750 of 6521

LC-NMR Study Biomarkers to Detect Lung Cancer

Lung Cancer

Lung cancer is the most common cancer in men and the fourth most common cancer in women worldwide. Until today no effective method permits the early detection of lung cancer. Consequently, lung cancer is often diagnosed owing to symptoms of advanced disease. To address this problem, detection methods with an improved sensitivity and specificity are urgently needed. Over the past decade, accumulating evidence shows that the metabolism of cancer cells differs from that of normal cells. More specifically, the entire metabolism of cancer cells is reorganized or reprogrammed to increase anabolic reactions that induce cell growth and survival. Metabolic reprogramming during the development of cancer is driven by aberrant signaling pathways due to the activation of oncogenes and the loss of tumor suppressor genes. Furthermore, the microenvironment of the tumor plays a role in metabolic reprogramming. The altered cancer metabolism is characterized by an increased glycolysis, the production of lactate and the biosynthesis of macromolecules, such as proteins, lipids and nucleotides. Cancer cells have a high glycolytic rate and eliminate most of the glucose-derived carbon as lactate rather than oxidizing it completely via oxidative phosphorylation, a phenomenon known as the Warburg effect. The breakdown of glucose and other nutrients leads to a high energy production and provides the Krebs cycle with intermediates, which consequently are allocated to metabolic pathways that support biosynthesis. Metabolites are the end products of cellular metabolism and are therefore closely related to the observed phenotype. Disturbances in biochemical pathways which occur during the development of cancer consequently provoke changes in the metabolic phenotype. As a result, low-molecular weight metabolites are very attractive biomarkers for different cancer types. Nuclear magnetic resonance (NMR) spectroscopy enables the identification and quantitative analysis of complex mixtures of metabolites, as in plasma and serum, without an extended sample preparation. The present study aims to determine the metabolic phenotype of lung cancer by means of proton (1H)-NMR spectroscopy. Once the phenotype determined (training cohort), this has to be validated by an independent cohort.

Completed6 enrollment criteria

Study of Lung Cancer in Appalachian Kentucky: The Role of Environmental Carcinogens

Lung Cancer

This is a research study about the relationship between lung cancer and environmental risk factors. The purpose of this study is to try to understand the effects of trace elements such as arsenic and chromium, as well as radon on the development of lung cancer. To do this, the investigators will collect information and environmental and biologic specimens from people who live in Appalachian Kentucky who a) have lung cancer or b) don't have lung cancer and will serve as control subjects. The investigators will create a specimen repository of from these people and their residences to compare differences in many risks factors for cancer. By doing this study, the investigators hope to learn why there are more lung cancers in Kentucky's fifth Congressional District than anywhere else in the nation.

Completed20 enrollment criteria

An Observational Study to Explore Clinical Characteristics of the Patients With T1 Non-small Cell...

Non Small Cell Lung Cancer

The real-world observational study was designed to explore the odd factors of lymph metastases in the patients with T1 non-small cell lung cancer, the effects of clinical characteristics on lymph metastases, and compare the differences in lymph metastases in the subgroups.

Completed3 enrollment criteria

A Study to Explore Clinical Characteristics and Prognoses of N2 Patients With Non-small Cell Lung...

Non-small Cell Lung Cancer

A study to compare patient survivals in the N2 patients with non-small cell lung cancer in the subgroups of lymph skip metastases and non-skip metastases

Completed6 enrollment criteria

A Study to Evaluate Effectiveness of Sublobar Dissection in Patients With Non-small Cell Lung Cancer...

Non-small Cell Lung Cancer

A study to evaluate effectiveness of sublobar dissection in patients with non-small cell lung cancer

Completed7 enrollment criteria

A Study to Evaluate Clinical Characteristics of Lung Cancer in Patients With Surgeries and Adjuvant...

Lung Cancer

The study was designed to evaluate effectiveness of the surgeries and adjuvant therapies after surgeries in the patients with lung malignant tumors

Completed6 enrollment criteria

Study of the Concentration-effect Relationship of Nivolumab in Patients With Kidney or Lung Cancer...

Kidney CancerLung Cancer

To assess the relationship between progression free survival of patients treated with nivolumab for metastatic non small cell lung carcinoma or a metastatic renal cell carcinoma and nivolumab blood concentration. Collection of standard data prospectively.

Completed8 enrollment criteria

Electromagnetic Navigation Versus CT Guided TTNA in the Diagnosis of Early Peripheral Lung Cancer...

Lung Cancer

The purpose of this study is to compare Electromagnetic navigation guided with CT-guided transthoracic needle aspiration (TTNA) in the diagnosis of pulmonary peripheral nodule. Primary endpoints:Diagnostic rate Secondary endpoints:operating time、adverse events Study design: Multicenter、randomized、open lebel

Unknown status6 enrollment criteria

A Study of Participants in Australia Who Have Non-small Cell Lung Cancer Being Treated With Nivolumab...

Non-Small Cell Lung Cancer

This study is to capture and describe the patient and disease characteristics and the outcomes of adult patients with previously-treated advanced NSCLC who have been treated with Nivolumab

Completed7 enrollment criteria

A Study to Reveal the Patient Characteristics and Treatment Patterns of Stage III Non-small-cell...

Non-small-cell Lung Cancer (NSCLC)

This large multinational, non-interventional study (NIS), will retrospectively collect data derived from established medical records over a period of up to approximately 6 years (2013 to 2018), building a platform to capture and consolidate information on treatment patterns, Overall Survival (OS) and treatment effectiveness outcomes in the real-world setting.

Completed7 enrollment criteria
1...574575576...653

Need Help? Contact our team!


We'll reach out to this number within 24 hrs