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Predicting the next move: tracking the complexity of lung cancer evolution and metastasis

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摘要 In a series of seven papers in Nature and Nature Medicine,the TRACERx study group presents multi-omic analyses of 421 non-small cell lung cancer(NSCLC)patients,which have yielded a comprehensive map of intratumor heterogeneity(ITH)and lung cancer evolutionary trajectories at an unprecedented level of detail.1–7 The in-depth molecular data,and their subsequent integrated analyses,hold the potential to not only shine light on lung cancer progression but also influence a broad spectrum of scientific disciplines,research fields,and clinical oncology,thereby enhancing our understanding of cancer in general.
出处 《Signal Transduction and Targeted Therapy》 SCIE CSCD 2023年第9期3885-3887,共3页 信号转导与靶向治疗(英文)
基金 This work was supported by the German Research Foundation(DFG,Deutsche Forschungsgemeinschaft)as part of SFB1399(grant ID 413326622)to J.B. SFB1310(Predictability in Evolution)to A.M.H and the Deutsche Krebshilfe(Mildred Scheel Nachwuchszentrum Grant 70113307)to J.B.
关键词 LUNG cancer METASTASIS
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