Abstract: Provided herein are methods of determining the aggressiveness, prognosis and response to therapy for cancer, such as non-small cell lung carcinoma (NS-CLC), which includes determining an expression level of one or a plurality of differentially expressed protein markers in an exosome sample from a subject. A method and agent for treating cancer are also provided.

Abstract: A method for real-time compositing, rendering and delivery of complex geometric models and textures, includes storing a plurality of three-dimensional models of at least two sub-parts of a whole three-dimensional object, storing a plurality of image textures for each of the plurality of three-dimensional models, receiving instructions from a user, the instructions including a selection of at least two of the plurality of three-dimensional models, each of the at least two of the plurality of three-dimensional models being one of the at least two sub-parts of the whole three-dimensional object, and generating the whole three-dimensional object including the at least one of the plurality of image textures for each of the at least two of the plurality of three-dimensional models applied according to the instructions to the at least two of the plurality of three-dimensional models.

Abstract: The present disclosure relates to the field of cancer. More particularly, the invention relates to methods of diagnosing and treating cancer, including determining a cancer type thereof. These methods involve the detection of markers in an exosome sample of the subject.

Abstract: Provided herein are methods of determining the aggressiveness, prognosis and response to therapy for cancer, such as non-small cell lung carcinoma (NSCLC), which includes determining an expression level of one or a plurality of differentially expressed protein markers in an exosome sample from a subject. A method and agent for treating cancer are also provided.