Abstract: The present invention relates to the classification of cancers, in particular prostate cancers, using samples from patients. In particular, the invention provides methods for identifying potentially aggressive prostate cancers to determine which cancers are or will become aggressive (and hence require treatment) and which will remain indolent (and will therefore not require treatment). The present invention is therefore useful to identify patients with a poor prognosis. The specific population of cancer identified by the present invention is referred to herein as DESNT cancer. The invention also provides biomarker panels useful in the diagnosis and prognosis of cancer.

Abstract: The present invention relates to the classification of cancers, in particular prostate cancers, using samples from patients. In particular, the invention provides methods for identifying potentially aggressive prostate cancers to determine which cancers are or will become aggressive (and hence require treatment) and which will remain indolent (and will therefore not require treatment). The present invention is therefore useful to identify patients with a poor prognosis. The specific population of cancer identified by the present invention is referred to herein as DESNT cancer. The invention also provides biomarker panels useful in the diagnosis and prognosis of cancer.

Abstract: The present invention relates to biomarkers and diagnostic profiles based on the expression status of particular genes for use in the diagnosis of prostate cancer, in particular the early detection of prostate cancer and prediction of disease progression and Gleason ?4 cancer. The present invention also provides methods of diagnosis and treatment of prostate cancer, and kits for the early detection of prostate cancer based on the expression status of the biomarkers in biological samples, in particular urine samples.

Abstract: The present invention relates to the classification of prostate cancers using samples from patients. Classification is achieved using a novel analysis method that uses less computing power than methods of the prior art. In particular, the invention provides new methods for classifying cancers to make a determination of risk of cancer progression (for example in early cancer), to identify patient populations that may be susceptible to particular treatments and to present opportunities (for example to provide tailored treatment regimens), or to identify patient populations that do not require treatment. The methods of the invention may include identifying potentially aggressive cancers to determine which cancers are or will become aggressive (and hence require treatment) and which will remain indolent (and will therefore not require treatment). The present invention is therefore useful to identify a patient's prognosis and identify those with good or poor prognoses.

Abstract: The present invention relates to the classification of cancers, in particular prostate cancers, using samples from patients. In particular, the invention provides methods for identifying potentially aggressive prostate cancers to determine which cancers are or will become aggressive (and hence require treatment) and which will remain indolent (and will therefore not require treatment). The present invention is therefore useful to identify patients with a poor prognosis. The specific population of cancer identified by the present invention is referred to herein as DESNT cancer. The invention also provides biomarker panels useful in the diagnosis and prognosis of cancer.

Abstract: The invention provides a new approach which is better suited to FFT design as applied to multicarrier modulation systems such as OFDM. The signals are scaled so that overflow, rather than being completely avoided, occurs with low probability throughout the IFFT and FFT structures. The size of the error that results from an overflow depends on how overflow is handled in the DSP. To minimize the degradation, overflow should result in saturation of the value at the maximum positive or negative value option. This is equivalent to clipping the signal. Using the new technique, signals within the FFT structure are scaled to balance the effect of clipping and round-off. Clipping may result in comparatively large errors in a few signal values but because of the spreading effect of the FFT and because OFDM systems typically include error coding/correction, system performance depends on the total error or, in other words the total noise power, across all of the FFT outputs rather than on any individual value.