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 invention relates to methods of using fragmented RNA, such as RNA obtained from archived fixed paraffin-embedded tissue material (FPET RNA) or other clinically biopsied tissue specimens for universal gene expression profiling.

Abstract: The present invention provides methods and compositions to facilitate determining whether an EGFR-expressing cancer in an individual is an EGFR inhibitor-responsive cancer, as well as methods for determining the likelihood that a patient having an EGFR-expressing cancer will exhibit a beneficial response to an EGFR inhibitor therapy. The methods generally involve determining a normalized expression level of a gene product that correlates with EGFR inhibitor responsiveness.

Abstract: The present invention provides methods and compositions to facilitate determining whether an EGFR-expressing cancer in an individual is an EGFR inhibitor-responsive cancer, as well as methods for determining the likelihood that a patient having an EGFR-expressing cancer will exhibit a beneficial response to an EGFR inhibitor therapy. The methods generally involve determining a normalized expression level of a gene product that correlates with EGFR inhibitor responsiveness.

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 provides gene sets the expression of which is important in the diagnosis and/or prognosis of breast cancer.

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 concerns prognostic markers associated with EGFR positive cancer. In particular, the invention concerns prognostic methods based on the molecular characterization of gene expression in paraffin-embedded, fixed tissue samples of EGFR-expressing cancer, which allow a physician to predict whether a patient is likely to respond well to treatment with an EGFR inhibitor.

Abstract: The invention concerns sensitive methods to measure mRNA levels in biopsied tumor tissues, including archived paraffin-embedded biopsy material. The invention also concerns breast cancer gene sets important in the diagnosis and treatment of breast cancer, and methods for assigning the most optimal treatment options to breast cancer patient based upon knowledge derived from gene expression studies.

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

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 concerns prognostic markers associated with EGFR positive cancer. In particular, the invention concerns prognostic methods based on the molecular characterization of gene expression in paraffin-embedded, fixed tissue samples of EGFR-expressing cancer, which allow a physician to predict whether a patient is likely to respond well to treatment with an EGFR inhibitor.

Abstract: The present invention provides a noninvasive, quantitative test for prognosis determination in cancer patients. The test relies on measurements of the tumor levels of certain messenger RNAs (mRNAs). These mRNA levels are inserted into a polynomial formula (algorithm) that yields a numerical recurrence score, which indicates recurrence risk.

Abstract: The present invention provides gene expression information useful for predicting whether a cancer patient is likely to have a beneficial response to treatment with chemotherapy, comprising measuring, in a biological sample comprising a breast tumor sample obtained from the patient, the expression levels of gene subsets to obtain a risk score associated with a likelihood of a beneficial response to chemotherapy, wherein the score comprises at least one of the following variables: (i) Recurrence Score, (ii) ESRI Group Score; (iii) Invasion Group Score; (iv) Proliferation Group Score; and (v) the expression level of the RNA transcript of at least one of MYBL2 and SCUBE2, or the corresponding expression product. The invention further comprises a molecular assay-based algorithm to calculate the likelihood that the patient will have a beneficial response to chemotherapy based on the risk score.