Active clinical trials for "Lung Neoplasms"

This study will collect retrospective CT scan images and clinical data from participants with incidental lung nodules seen in hospitals across London. The investigators will research whether machine learning can be used to predict which participants will develop lung cancer, to improve early diagnosis.

The purpose of this study is to analysis the volatile organic gases(VOCs) in exhaled breath of pulmonary lesion patients and healthy controls, in order to find the difference of composition and concentration among groups.

The classification of lung cancer (LC) according to the degree of anatomical extension (TNM) allows the estimation of the prognosis of the patient, although its accuracy is limited. In fact, one third of surgically-treated patients with initial disease have recurrences during follow-up, despite the negativity of node dissection at surgery. The incorporation of genetic, epigenetic and proteomic information to TNM staging will characterize more accurately the lung cancer, and thereby improve the prognostic and the prediction of the therapeutic response in these patients.In this project a prospective cohort of 320 patients with lung cancer staged I-IIp will be studied, combining the clinical and pathologic information available with genetic, epigenetic and proteomic markers in tumour samples, pulmonary tissue, regional nodes and peripheral blood, preserved in suitable systems for the application of complex analytical methodologies. Thus, a knowledge database will be created with the aim of improving the prognostic and prediction capabilities of TNM staging.This project is coordinated with related sub-projects that cover the required laboratory tests on biological samples and with Spanish collaborative group in lung cancer.

Targeted next generation sequencing (NGS) provides a promising method for diagnostic purposes by enabling the simultaneous detection of multiple gene mutations. This study is to evaluate the feasibility and application value by using NGS into identifying genomic mutations in multiple or multifocal primary lung cancers in cell-tumor DNA (ctDNA) from surgical patients

The investigators have developed an early detection solution for lung and breast cancer. A system which can distinguish between different medical odors based on biosensors. Our product is user-friendly noninvasive, nonradioactive and nontoxic to the patients. The technology enables a high level of sensitivity and provides users with a quick lab response and a simple yes or no answer. The aim of this study is to contribute and detect the patient at the earliest possible stage, in a noninvasive, nonradioactive and nontoxic way. Exhaled breath and urine samples are a promising approach towards future possible lung and breast cancer screening method.

Calcium is an extremely important ion used in our body for many processes. One of its tasks is to control gene expression. Cells intake calcium from their surroundings though special calcium channels located on the surface membranes of the cells. The great many studies on such calcium channels were performed on excitable cells such as muscle, heart or neuronal cells, where the calcium ions are controlled by voltage. Surprisingly, not much is known about the identity of calcium subunits in non-excitable cells like epithelial cells (which compose most of the connective tissue in the body), liver cells, lung cells, immune system cells, etc. Recently, the investigators have shown that calcium channels from muscles are, in fact, expressed in T cells of the immune system, where they are used for proliferation. The investigators postulated that probably other cell types, especially cancerous cell types, might be using these subunits similarly. The aim of this study is to determine the identity and sequence of calcium subunits expressed in non-small cell Lung Carcinoma (NSCLC), which accounts for 80% of the worldwide lung cancer deaths.

The purpose of this study is to evaluate the costs, health-related quality of life and preference values from lung cancer patients assisted in a Brazilian public health care unit.

To study the association of Genetic Polymorphisms with Lung Cancer Risk in Tianjin Population.

Try to find lung cancer stem cells from primary culture of routine surgical resection of lung cancer tissue including cancer cells and stroma cells, then characterization the established cell lines, and compare the difference of stroma cells between tumor part and surrounding part.

This project is to study the methylation status of the transcriptional regulatory region of CD44 gene in surgically resected NSCLC specimens and normal lung tissue, correlate the methylation status of promoter region with the expression of CD44 gene, and analyze if methylation is associated with survival.