The disclosure provides methods for resolving an inconclusive cytological assessment of clinically relevant cells in a sample obtained from a patient based on the cytological detection of an antibody binding to a diagnostic protein in the clinically relevant cells in the sample.

The present invention belongs to the field of genetic therapy. In particular, the invention refers to EphA2 specific RNA-based constructs, which are useful for the treatment, prevention and diagnosis of EphA2 expressing cancers.

Disclosed are compositions and methods for inhibiting cancer metastasis or a cancer recurrence in a subject following surgical removal or anti-cancer treatment of a cancer, comprising administering to the subject a composition comprising δ-tocotrienol (d-T3). Also disclosed are methods of determining if a subject is at risk for developing cancer metastasis or recurrence by measuring levels of hCAS expression and an optional treatment step if the subject is identified as being at risk for cancer metastasis or recurrence.

The present disclosure relates to genetically modified non-human animals that express a human or chimeric (e.g., humanized) CD73, and methods of use thereof.

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.

Provided are a method, an apparatus, and a kit for detecting a neuroblastoma in a subject and/or for monitoring a therapeutic effect on the neuroblastoma, by measuring a urinary tumor marker(s) in a sample from the subject.

The present invention relates to biomarkers capable of diagnosing various brain and nervous system diseases, and a method of providing information for diagnosing brain and nervous system diseases using the same. According to the present invention, it is possible to diagnose, at an early stage, the onset of a brain and nervous system disease or the likelihood of developing the disease or diagnose the progress or prognosis of the disease or the therapeutic effect against the disease, by measuring the expression level of the biomarker protein of the present invention or a gene encoding the same in the aqueous humor of the eye.

Provided herein is related generally to the field of molecular biology and growth factor regulation. More specifically, provided herein are methods useful for treating cancer patient using c-Met inhibitor based on the identification of an increased c-Met expression and at least one c-Met gene alteration, e.g. c-Met mutation, c-Met fusion gene and c-Met gene amplification.

The present disclosure pertains to the field of personalized medicine and methods for treating bladder cancer. In some embodiments, the disclosure relates to the use of long non-coding RNA (lncRNA) and genomic signatures for the prognosis of individuals with bladder cancer. The present disclosure provides methods for subtyping bladder cancer. The present disclosure also provides methods and compositions for treating bladder cancer.

Systems, devices, and techniques are described for characterizing subjects, such as dogs or humans, into risk categories using a blood test. For example, a method includes marking a plurality of cells from a blood sample of a subject with antibodies that recognize a plurality of markers comprising at least two of αvβ.sub.3-integrin, hematopoietic progenitor marker CD34, hematopoietic progenitor marker CD117, hyaluronic acid receptor CD44, or panleukocyte marker CD45 and obtaining, based on expression of the plurality of markers in the plurality of cells, a plurality of data features for the plurality of cells. The method may also include applying a plurality of trained analytical models to a subset of the plurality of data features and generating, based on the trained analytical models, one classification for the blood sample, wherein the classification is selected from at least a high risk of HSA and a low risk of HSA.