摘要:
A diagnostic and/or prognostic model of at least 5 serum miRNAs selected among a group of 34 miRNAs that identifies subjects with early stage lung cancer, namely non-small cell lung carcinomas (NSCLCs), in a population of asymptomatic high-risk individuals, with 80% accuracy. The model could also distinguish between benign and malignant lesions and is sensitive enough to capture the disease onset. In addition, the model could also diagnose or confirm a diagnosis of lung cancer in symptomatic patients, and monitor the lung tumor status after treatment with surgery and/or chemotherapy and/or radiotherapy in a subject with such lung cancer.
摘要:
The disclosure describes a method for diagnosing lung cancer in a subject by detecting in a biological sample obtained from that patient a miRNA signature, the presence of which provides an earlier indication of cancer than alternative art-recognized methods, including, but not limited to, low-dose computed tomography (LDCT).
摘要:
The invention relates to methods of diagnosis and prognosis of cancer, the methods comprising determining the level of one or more gene products. In addition, the invention relates to modulators of the gene products for use in treatment of cancer. The genes include E1A-induced genes and Numb.