Hypercoagulable Parameters as Predictors of Thrombotic Events and Prognosis in Patients With Advanced...
Non-Small Cell Lung CarcinomaVenous ThromboembolismThe association between cancer and thrombosis is well known and the occurrence of thrombotic complications is commonly associated with poor prognosis. The aim os this study is to determine the possible value of hypercoagulable parameters as prognostic parameters in advanced non-small cell lung carcinoma (NSCLC).
Vibration Response Imaging (VRI) in the Preoperative Management in Patients With Non-Small Cell...
Non-Small Cell Lung CancerLung FunctionThe purpose of this study is to assess the correlation of the predicted post-operative lung function with the observed post-operative lung function (FEV1 and DLCO) in patients who underwent surgical resection (FEV1 = Forced expiratory volume in 1-second. DLCO = Diffusion capacity for carbon monoxide. ppo = predicted postoperative.)and versus the gold standard QRRVP (Quantitative Radionuclide Study of Regional Lung Ventilation and Perfusion)
A Study of Gene Polymorphisms and Normal Tissue Radiation Injury in Patients Treated for Breast,...
Breast CancerGlioma6 moreThis study will examine, for the first time, the independent contribution of a patient's own genetic makeup to the development of post-radiation complications, permitting the future development of predictive tests to avoid radiation injury. To do this, the investigators will examine gene markers in a series of breast, prostate, brain and lung cancer survivors who have received conformal radiotherapy between 1996 and 2003 at the Cross Cancer Institute and Tom Baker Cancer Centre.
BioForte Technology for in Silico Identification of Candidates for a New Microbiome-based Therapeutics...
Non Small Cell Lung CancerMicrobiome3 moreThe goal of the project is to develop and validate the BioForte technology. Its main functionality should be to in silico determine candidates for novel microbiome-based therapeutics and diagnostics. Key challenge to be solved using the technology is to detect the differences in gut microbiome between oncology patients who respond to immunotherapies and the ones who do not respond to this treatment. This technology employs machine learning methods to replace the laboratory procedure for finding valuable genomic features. Such features can be crucial to identify differences between the two populations (e.g. responders vs non-responders) to target specific strains. The samples and data collected in this clinical study will be used for clinical validation of BioForte technology. For all patients treated with immunotherapy, stool collection will be performed per patient (one stool collection before setting up immunotherapy using anti-PD1 / anti-PDL1 and / or anti CTLA4 antibodies). Samples will be sequenced by long-read sequencing technology. In parallel, we will also collect samples of peripheral blood samples (PBMC) and biopsy (FFPE).
Evaluation ctDNA in Patients of Non-Small-Cell Lung Cancer Following Resection
Non-Small Cell Lung CancerCirculating tumor DNA (ctDNA) is a promising biomarker for noninvasive assessment of cancer burden. In this study, PEAC (Personalized Analysis of Cancer) technology was performed to detect the driver gene mutations from plasma samples and matched tumor tissue samples were detected by NGS platform at baseline. Investigators also applied ctDNA dynamic monitoring using PEAC technology in early stage NSCLC patients with driver mutations positive at baseline, to evaluate the feasibility and their potential clinical application.
Dynamic Changes of Circulating Tumor DNA in Late Stage NSCLC Patients
CarcinomaNon-Small-Cell Lung5 moreA multi-centre observational, non-interventional study is to dynamically monitor the changes of circulating tumor DNA (ctDNA) in late stage NSCLC patients under Gefitinib treatment.
Acquired Resistant Mechanism of the First-generation EGFR TKIs
Non-small Cell Lung CancerAquired Resistance1 morePatients with advanced non-small-cell lung cancer (NSCLC) harboring sensitive epithelial growth factor receptor (EGFR) mutations invariably develop acquired resistance to EGFR tyrosine kinase inhibitors (TKIs). Identification of actionable genetic mutations can be helpful for guiding the subsequent treatment. This study aimed to analyze the genetic profile of NSCLC harboring acquired resistance to the first-generation EGFR TKIs using next generation sequencing (NGS).
Verification of Novel Survival Prediction Algorithm for Patients With NSCLC Spinal Metastasis
Spinal MetastasesNon-Small-Cell Lung Cancer MetastaticThe purpose of this study is to learn whether our own made predictive algorithm can be used as a clinical practical decision support for patients with NSCLC spinal metastasis. The scoring system consists of the use of EGFR-TKI, KPS, Age, SCC, CA125 and smoking history. By predicting survival doctors could determine which patients are suitable for palliative therapy.
Circulating Tumor DNA Detection in Surveillance of Surgical Lung Cancer Patients
CarcinomaNon-small-cell Lung Cancer1 moreConduct a prospective study to confirm blood and urine ctDNA detection value in non-small-cell lung cancer patients.
The Value Of Circulating Tumor Cells In Patient With NSCLC In Postoperative Recurrence Monitoring...
Non-small-cell Lung CarcinomaThe purpose of this study is to assess the value of circulating tumor cells (CTC)for non-small cell lung cancer in the postoperative recurrence monitoring by comparing the CTCs, CT and tumor markers at different time points.The time of CTC and carcinoembryonic antigen(CEA) detection is baseline, 2~7 days, 3 months, 6 months, 12 months, 24 months, 36 months after the surgery. And the time of CT detection is 6 months, 12 months, 24 months, 36 months after the surgery.