Abstract: The present disclosure provides gene and gene sets, the expression of which is important in the classification and/or prognosis of cancer, in particular of renal cell carcinoma.

Abstract: The present disclosure relates to methods of monitoring bladder cancer patients and analyzing patient samples for presence of methylated DNA and optionally particular gene mutations. In some embodiments, analysis results are correlated with clinical outcome measures such as risk of bladder cancer recurrence.

Abstract: Some embodiments presented in this disclosure concern an Automated Tissue Dissection (ATD) System. An ATD system is a one stop, and potentially low-cost, system to perform dissections on a substrate from pathologist digital mark or pen mark on the substrate using non-contact and/or mechanical method to extract a Formalin-Fixed Paraffin-Embedded (FFPE) tissue sample with: (a) only the ROI or ROIs as area to be saved; and (b) remove or decompose nucleic acid content in the region of no interest (RONI) and collect all tissue sample from a standard microscope substrate into a specific container.

Abstract: The present disclosure provides gene and gene sets, the expression of which is important in the classification and/or prognosis of cancer, in particular of renal cell carcinoma.

Abstract: The present disclosure relates to methods of monitoring bladder cancer patients and analyzing patient samples for presence of methylated DNA and optionally particular gene mutations. In some embodiments, analysis results are correlated with clinical outcome measures such as risk of bladder cancer recurrence.

Abstract: The present invention provides algorithm-based molecular assays that involve measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The present invention also provides methods of obtaining a quantitative score for a patient with kidney cancer based on measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The genes may be grouped into functional gene subsets for calculating the quantitative score and the gene subsets may be weighted according to their contribution to cancer recurrence.

Abstract: The present disclosure provides gene and gene sets, the expression of which is important in the classification and/or prognosis of cancer, in particular of renal cell carcinoma.

Abstract: The present invention provides algorithm-based molecular assays that involve measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The present invention also provides methods of obtaining a quantitative score for a patient with kidney cancer based on measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The genes may be grouped into functional gene subsets for calculating the quantitative score and the gene subsets may be weighted according to their contribution to cancer recurrence.

Abstract: The present invention provides gene sets the expression of which is important in the diagnosis and/or prognosis of breast cancer.

Abstract: The invention relates to methods of depleting RNA from a nucleic acid sample. The RNA may be any RNA, including, but not limited to, rRNA, tRNA, and mRNA. The method is useful for depleting RNA from a nucleic acid sample obtained from a fixed paraffin-embedded tissue (FPET) sample. The method may also be used to prepare cDNA, in particular, a cDNA library for further analysis or manipulation.

Abstract: The present disclosure provides gene and gene sets, the expression of which is important in the classification and/or prognosis of cancer, in particular of renal cell carcinoma.

Abstract: The present invention provides algorithm-based molecular assays that involve measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The present invention also provides methods of obtaining a quantitative score for a patient with kidney cancer based on measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The genes may be grouped into functional gene subsets for calculating the quantitative score and the gene subsets may be weighted according to their contribution to cancer recurrence.

Abstract: The present invention provides algorithm-based molecular assays that involve measurement of expression levels of genes, or their co-expressed genes, from a biological sample obtained from a prostate cancer patient. The genes may be grouped into functional gene subsets for calculating a quantitative score useful to predict a likelihood of a clinical outcome for a prostate cancer patient.

Abstract: The present invention provides methods to determine the prognosis and appropriate treatment for patients diagnosed with cancer, based on the expression levels of one or more biomarkers. More particularly, the invention relates to the identification of genes, or sets of genes, able to distinguish breast cancer patients with a good clinical prognosis from those with a bad clinical prognosis. The invention further provides methods for providing a personalized genomics report for a cancer patient. The inventions also relates to computer systems and software for data analysis using the prognostic and statistical methods disclosed herein.

Abstract: The present disclosure provides gene and gene sets, the expression of which is important in the classification and/or prognosis of cancer, in particular of renal cell carcinoma.

Abstract: The present invention provides gene sets the expression of which is important in the diagnosis and/or prognosis of cancer, in particular of breast cancer.

Abstract: The present invention relates to biomarkers associated with breast cancer prognosis. These biomarkers include coding transcripts and their expression products, as well as non-coding transcripts, and are useful for predicting the likelihood of breast cancer recurrence in a breast cancer patient. The present invention also relates to a novel method of identifying intergenic sequences that correlate with a clinical outcome.

Abstract: Molecular assays that involve measurement of expression levels of prognostic biomarkers, or co-expressed biomarkers, from a biological sample obtained from a prostate cancer patient, and analysis of the measured expression levels to provide information concerning the likely prognosis for said patient, and likelihood that said patient will have a recurrence of prostate cancer, or to classify the tumor by likelihood of clinical outcome or TMPRSS2 fusion status, are provided herein.

Abstract: The present disclosure relates to methods of monitoring bladder cancer patients and analyzing patient samples for presence of methylated DNA and optionally particular gene mutations. In some embodiments, analysis results are correlated with clinical outcome measures such as risk of bladder cancer recurrence.

Abstract: The present invention provides gene sets the expression of which is important in the diagnosis and/or prognosis of cancer, in particular of breast cancer.