摘要:
The present invention provides methods for diagnosing lung cancer in a subject comprising (a) generating circulating tumor cell (CTC) data from a blood sample obtained from the subject based on a direct analysis comprising immunofluorescent staining and morphological characteristics of nucleated cells in the sample, wherein CTCs are identified in context of surrounding nucleated cells based on a combination of the immunofluorescent staining and morphological characteristics; (b) obtaining clinical data for the subject; (c) combining the CTC data with the clinical data to diagnose lung cancer in the subject.
摘要:
The invention provides seminal computational approaches utilizing data from non-rare cells to detect rare cells, such as circulating tumor cells (CTCs). The invention is applicable at two distinct stages of CTC detection; the first being to make decisions about data collection parameters and the second being to make decisions during data reduction and analysis. Additionally, the invention utilizes both one and multi-dimensional parameterized data in a decision making process.