Abstract: The disclosure relates to methods for identifying a tumor as an E2F-responsive gene over-expressing (ERGO) tumor, methods of determining the likelihood that an ERGO tumor patient will survive to a future date, methods of treating an ERGO tumor in a patient, and methods of selecting patients diagnosed as ERGO tumor prostate cancer patients for aggressive clinical treatment. The methods of the disclosure are applicable to ERGO tumors present in different human organs and tissues such as breast, lung, thyroid, ovary, and prostate.

Abstract: The disclosure relates to methods for identifying a tumor as an E2F-responsive gene over-expressing (ERGO) tumor, methods of determining the likelihood that an ERGO tumor patient will survive to a future date, methods of treating an ERGO tumor in a patient, and methods of selecting patients diagnosed as ERGO tumor prostate cancer patients for aggressive clinical treatment. The methods of the disclosure are applicable to ERGO tumors present in different human organs and tissues such as breast, lung, thyroid, ovary, and prostate.

Abstract: An apparatus for correcting for cell aggregates in a cell suspension from patients. The apparatus includes a laser cytometry scanning mechanism for scanning cells of a sample of a cell suspension to obtain data about the samples patients. The apparatus includes a memory for storing the data, the memory in communication with the scanning mechanism patients. The apparatus includes a computer for identifying in the data cell aggregates in the samples from the samples that have been scanned with an APT function, the computer in communication with the memory. A method for correcting for cell aggregates in a cell suspension from patients with an APT function. A method for correcting for cell aggregates in a cell suspension from patients with up to 98.6% accuracy. A computer readable medium.

Abstract: A method for treating a patient with cancer includes the steps of obtaining cells from a cancerous tumor in the patient. Then there is the step of performing multiple correlated measurements on each cell to obtain cell data for each cell regarding each cell's place in a genetic evolutionary pathway that had occurred in the tumor. Next there is the step of determining from the cell data a likelihood of recurrence of the cancer by minimizing false negatives. A method for treating a patient with cancer. The method includes the steps of obtaining cells from a cancerous tumor in the patient. Then there is the step of obtaining cell data for each cell regarding each cell's place in a genetic evolutionary pathway that had occurred in the tumor. Next there is the step of recognizing distinctive false negative patterns from the cell data. Then there is the step of correlating the false negative patterns to aberrations in mitogenic signaling to determine a likelihood of recurrence of the cancer in the patient.

Abstract: An apparatus for correcting for cell aggregates in a cell suspension from patients. The apparatus includes a laser cytometry scanning mechanism for scanning cells of a sample of a cell suspension to obtain data about the samples patients. The apparatus includes a memory for storing the data, the memory in communication with the scanning mechanism patients. The apparatus includes a computer for identifying in the data cell aggregates in the samples from the samples that have been scanned with an APT function, the computer in communication with the memory. A method for correcting for cell aggregates in a cell suspension from patients with an APT function. A method for correcting for cell aggregates in a cell suspension from patients with up to 98.6% accuracy. A computer readable medium.

Abstract: A method for treating a patient with cancer. The method includes the steps of obtaining cells from a cancerous tumor in the patient. Then there is the step of performing multiple correlated measurements on each cell to obtain cell data for each cell regarding each cell's place in a genetic evolutionary sequence that had occurred in the tumor. Next there is the step of determining from the cell data a likelihood of recurrence of the cancer by minimizing false negatives. A method for treating a patient with cancer. The method includes the steps of obtaining cells from a cancerous tumor in the patient. Then there is the step of obtaining cell data for each cell regarding each cell's place in a genetic evolutionary sequence that had occurred in the tumor. Next there is the step of recognizing distinctive false negative patterns from the cell data.