Lungscape
Lungscape
Lungscape is a comprehensive research initiative focused on the study of lung cancer, particularly its molecular and clinical characteristics. The project aims to improve the understanding of lung cancer biology and to develop personalized treatment strategies for patients.
Overview
Lungscape is part of the European Thoracic Oncology Platform (ETOP), which is a collaborative network of researchers and clinicians dedicated to advancing the treatment of thoracic malignancies. The initiative involves the collection and analysis of clinical and molecular data from a large cohort of lung cancer patients across multiple centers.
Objectives
The primary objectives of Lungscape include:
- To characterize the molecular profiles of different types of lung cancer, including non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC).
- To correlate molecular data with clinical outcomes to identify potential biomarkers for prognosis and treatment response.
- To facilitate the development of personalized medicine approaches by integrating molecular diagnostics into clinical practice.
Methodology
Lungscape employs a multidisciplinary approach, combining expertise in oncology, pathology, genomics, and bioinformatics. The project utilizes advanced technologies such as next-generation sequencing and immunohistochemistry to analyze tumor samples.
Data Collection
Data is collected from participating centers, ensuring a diverse and representative sample of lung cancer cases. This includes detailed clinical information, treatment history, and follow-up data.
Molecular Analysis
Tumor samples undergo comprehensive molecular profiling to identify genetic mutations, expression patterns, and other relevant biomarkers. This information is used to classify tumors into distinct molecular subtypes.
Impact
Lungscape has contributed significantly to the understanding of lung cancer heterogeneity and the identification of novel therapeutic targets. The findings from Lungscape have the potential to influence clinical guidelines and improve patient outcomes by enabling more precise and effective treatment strategies.
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Contributors: Prab R. Tumpati, MD