Abstract: The present invention relates to nucleic acids, double stranded nucleic acids (dsNAs), and agents for inhibiting expression of STATS. The present invention also includes nanoparticles comprising the nucleic acids, the dsNAs, and/or the agents as well as methods of treating cancer using the nucleic acids, the double stranded nucleic acids (dsNAs), the agents and/or the nanoparticles as disclosed herein. In one embodiment, the target region is within the 3?-UTR region of STATS mRNA.

Abstract: The present invention is directed to a method of determining the likelihood of the presence of lung cancer in a subject. The method comprising determining the level of a biomarker selected from the group consisting of catalase (CAT), C-X-C motif chemokine receptor 4 (CXCR4), superoxide dismutase 3 (SOD3) and surfactant protein B (SFTPB) from a vesicle population isolated from a biological sample from said subject, wherein a change in the level of biomarker as compared to a reference indicates the likelihood of the presence of lung cancer in the subject.

Abstract: A method for diagnosing Non-Small Cell Lung Cancer (NSCLC) from a sample extracted from a subject by testing the sample for the presence of biomarkers, the biomarkers being autoantibodies against XAGE1D, LRRFIP2 and GAGE2C. Also claimed are a method of manufacturing a kit, and compositions comprising a panel of said antigens or exosomal autoantibodies.

Abstract: Methods of selecting a treatment for further treatment of a tumor that has been exposed to chemotherapy and methods of predicting response of a tumor to chemotherapy are disclosed. Some of the methods involve performing gene expression analysis on a sample obtained from a patient having a tumor that has been exposed to chemotherapy so as to obtain a chemotherapy gene expression data set and analysing the chemotherapy gene expression data set to predict response of the tumor to the chemotherapy to which the tumor has been exposed.