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.
摘要:
The present invention provides methods for identifying circulating melanoma cells (CMCs) in a biological sample and methods for diagnosing metastatic melanoma in a subject. The methods disclosed can be used on non-enriched blood samples to identify CMC using detectable agents that are specific for a biomarker of CMCs and assessing the morphology of the cells having the detectable agents. The presence or absence of a detectable agent in combination with morphological characteristics of the cells can be used diagnose a subject with metastatic melanoma based on the number of CMCs is present in the sample.
摘要:
Methods are provided for detecting circulating tumor cells in a mammalian subject. Methods of diagnosing cancer in a mammalian subject are provided. The methods of detection or diagnosis indicate the presence of metastatic cancer or early stage cancer.
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 present invention provides methods for predicting response to a hormone-directed therapy or chemotherapy in a prostate cancer (PCa) patient comprising (a) performing a direct analysis comprising immunofluorescent staining and morphological characterization of nucleated cells in a blood sample obtained from the patient to identify and enumerate circulating tumor cells (CTC); (b) individually characterizing genotypic, morphometric and protein expression parameters to generate a profile for each of the CTCs, and (c) predicting response to hormone-directed therapy in the prostate cancer PCa patient based on said profile. In some embodiments, the methods comprise repeating steps (a) through (c) at one or more timepoints after initial diagnosis of prostate cancer to sequentially monitor said genotypic, morphometric and protein expression parameters.