Cancer Genome Atlas of China:Lung Cancer

Non-small Cell Lung Cancer

Non-small Cell Lung Cancer, Next-generation sequencing, High-throughput sequencing, Gene

Based on 2500 lung cancer tumor tissue samples from about 40 clinical centers in China, the molecular typing of lung cancer in China will be figured out by high throughput sequencing, which will provide the basis for the follow-up research and development of new drugs as well as the guidance of treatment.

This project will establish a standardized procedure of lung cancer sample collection, transportation, storage, detection, bioinformatics analysis and result judgment, so as to draw up the gene map of advanced lung cancer in China, and provide an important basis for the research and development of new drugs and the guidance of treatment. Firstly, 2500 cases of lung cancer tumor tissue samples will be collected according to the Inclusion Criteria. Secondly，samples will be sequenced through high throughput sequencing by ChosenMed Technology (Beijing) Co., Ltd., according to the strict process. Panel sequencing of the samples will be carried out through Illumina platform. After targeting Panel sequencing, four types of mutations including point mutation, insertion deletion, gene fusion and copy number variation will be detected, and tumor mutation burden as well as microsatellite instability will be evaluated. Combined with the bioinformatics analysis and sequencing results of the samples, the gene map of lung cancer in China will be drawn up, and the specific multigene panel of lung cancer for the Chinese population will be established as the basis for the subsequent clinical screening of molecular markers related to targeting therapy, immunotherapy and prognosis. Thirdly, patients will be followed up on the information related to treatment after sequencing. According to the genetic information of the patients, the curative effect and prognosis of the patients will be followed up every three to six months. The follow-up time includes at least the first treatment plan after the patients' detection, which may continue until the final survival time of the patients, and explore the molecular markers and combinations that can affect the curative effect and prognosis of patients with lung cancer. Finally, the clinical data and specimen information of patients will be managed and analyzed by Excel. Multivariate Cox regression analysis will be used to explore the clinical, pathological and molecular markers that affect the prognosis and curative effect of lung cancer, and draw the survival curve with the statistically significant indicators so as to provide reliable statistical results for the following clinical guidance.

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