The invention relates to the treatment of brain tumors, specifically to improved therapy for glioblastoma utilizing specific endocrine modulators and drug combinations. The compositions and uses thereof according to the invention employ androgen receptor (AR) inhibitors, either alone or in combination with receptor tyrosine kinase inhibitors and/or chemotherapeutic agents. According to certain advantageous embodiments, the use of the AR inhibitor enzalutamide, optionally in combination with epidermal growth factor receptor inhibitors such as erlotinib and alkylating agents such as carmustine and temozolomide, is contemplated.

The present invention relates to methods of diagnosing bladder cancer in a patient, involving determining the methylation status of Methylation Variable Positions (MVPs) in DNA from the patient and providing a diagnosis based on methylation status data. The invention also relates to methods of treating bladder cancer comprising providing a diagnosis of bladder cancer by the diagnostic methods defined herein followed by administering one or more anti-cancer agents to a patient. The invention also relates to methylation-discriminatory arrays comprising probes directed to the MVPs defined herein and kits comprising the arrays.

Biomarkers are provided that are predictive of a subject's responsiveness to a therapy comprising lenvatinib or a pharmaceutically acceptable salt thereof (e.g., lenvatinib mesylate). The biomarkers, compositions, and methods described herein are useful in selecting appropriate treatment modalities for a subject having cancer (e.g., thyroid cancer, kidney cancer), suspected of having cancer, or at risk of developing cancer.

The present invention relates to biomarkers associated with CTCL, including TOX, PLS3, KIR3DL2, GATA3 and RUNX3, where increased expression, relative to normal control, of one or more of TOX, PLS3, KIR3DL2, and/or GATA3 is associated with CTCL and decreased expression of RUNX3, relative to normal control, is associated with CTCL. One or more of these biomarkers may be used to diagnose CTCL and/or design and monitor treatment.

The invention relates to a method for improving the screening of histological samples, especially samples that may include cancerous or precancerous cells, or cells having other disease states. The method involves analysing a sample obtained from a subject and comprises the steps of providing the spectra produced by scanning the sample using FTIR spectroscopy and identifying or sorting the cells in the sample according to the spectrum each produces.

A compound represented by the following general formula (I) [the symbol in the formula are as defined in the description], a salt thereof, or the like is a RET inhibitor or RET tyrosine kinase inhibitor that can he used as an agent for the prevention or treatment of disorders including cancers and cancer metastasis having mutations in RET. ##STR00001##

Disclosed herein are anti-Seizure Related 6 Homolog Like 2 (SEZ6L2) antibodies and antibody drug conjugates (ADCs), including compositions and methods of using said antibodies and ADCs.

The compositions and methods of the invention relate generally to detection of biomarkers for the diagnosis, prognosis, and monitoring of solid tumor cancers. In particular, the invention relates to compositions and methods for detection of B-cell maturation antigen (BCMA) for the diagnosis, prognosis, and monitoring of solid tumor type of cancers.

The present invention relates to methods and kits or articles of manufacture related thereto that may find use, inter alia, in assessing responsiveness of cancers to MUC16 antagonists by monitoring HE4 expression. In some embodiments, the methods include measuring the level of expression of HE4 in a sample from a subject; comparing the level of expression of HE4 in the sample with the level of expression of HE4 in a sample previously obtained from the subject; and, optionally, administering to the subject a therapeutically effective amount of a MUC16 antagonist.

The present invention relates generally to methods of accurately quantifying HER2 and/or p95 expression in subjects with a HER2 positive cancer and indicating the risk of brain relapse in such patients.