Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: The present invention relates to gene sets useful in assessing prognosis and/or predicting the response of cancer, e.g. colorectal cancer to chemotherapy. In addition, the invention relates to a clinically validated cancer test, e.g. colorectal test, for assessment of prognosis and/or prediction of patient response to chemotherapy, using expression analysis. The present invention accommodates the use of archived paraffin embedded biopsy material for assay of all markers in the relevant gene sets and therefore is compatible with the most widely available type of biopsy material.

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 invention relates to gene sets useful in assessing prognosis and/or predicting the response of cancer, e.g. colorectal cancer to chemotherapy. In addition, the invention relates to a clinically validated cancer test, e.g. colorectal test, for assessment of prognosis and/or prediction of patient response to chemotherapy, using expression analysis. The present invention accommodates the use of archived paraffin embedded biopsy material for assay of all markers in the relevant gene sets and therefore is compatible with the most widely available type of biopsy material.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

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: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.

Abstract: The present disclosure provides methods for assessing a patient's cancer risk and/or recurrence risk, which methods comprise assaying, in a biological sample obtained from the gastrointestinal (GI) tract of the patient, an expression level of a risk gene. The present disclosure also provides methods involving a cancer risk/recurrence risk sequence, i.e. the V600E mutation of the BRAF gene, which is useful for assessing cancer risk and/or recurrence risk in a patient.

Abstract: A method of predicting clinical outcome in a subject diagnosed with colorectal cancer comprising determining evidence of the expression of one or more predictive RNA transcripts or their expression products in a biological sample of cancer cells obtained from the subject.