The invention provides methods for diagnosing prostate cancer. The invention also provides methods for determining the prognosis and efficacy of STEAP1-ADC therapy in patients with prostate cancer, specifically metastatic castration resistant prostate cancer (mCRPC).

Methods for the detection, enumeration and analysis of circulating tumor cells expressing insulin-like growth factor-1 receptors (IGF-1R) are disclosed. These methods are useful for cancer screening and staging, development of treatment regimens, and for monitoring for treatment responses, cancer recurrence or the like. Test kits that facilitate the detection, enumeration and analysis of such circulating tumor cells are also provided.

A method of analysing at least one hair surface using a 3D printer includes collecting a first imaging data for the at least one hair surface; applying at least one treatment to the at least one hair surface, the at least one treatment including at least one benefit agent; collecting a second imaging data for the at least one hair surface after applying the at least one treatment; converting the first imaging data into a first formatted data, the first formatted data associated with the 3D printer; converting the second imaging data into a second formatted data, the second formatted data associated with the 3D printer; producing a first 3D model of the at least one hair surface from the 3D printer using the first formatted data; and producing a second 3D model of the at least one hair surface from the 3D printer using the second formatted data.

The present invention provides an inhibitor of an autoimmune response to a periodontal bacterial enzymatic degradation product of keratin in gingival epithelium in a mammal having a periodontal bacterium in the oral cavity, containing a substance having affinity to the keratin or a degradation product thereof and/or a substance having affinity to an autoantibody to the degradation product, an agent for the prophylaxis and/or treatment of a periodontal disease and/or a complication thereof; a RANKL expression inhibitor containing a substance having affinity to the keratin or a degradation product thereof; and a method of diagnosing a periodontal disease including detecting the keratin or a degradation product thereof and/or an autoantibody thereto.

The present invention concerns enriched heterogeneous mammalian renal cell populations characterized by biomarkers, and methods of making and using the same.

A method of analysing at least one hair surface using a 3D printer includes collecting a first imaging data for the at least one hair surface; applying at least one assault to the at least one hair surface; collecting a second imaging data for the at least one hair surface after applying the at least one assault; converting the first imaging data into a first formatted data, the first formatted data associated with the 3D printer; converting the second imaging data into a second formatted data, the second formatted data associated with the 3D printer; producing a first 3D model of the at least one hair surface from the 3D printer using the first formatted data; and producing a second 3D model of the at least one hair surface from the 3D printer using the second formatted data.

The present invention relates to cabazitaxel for use in a method for treating an AR-V7-positive patient suffering from prostate cancer comprising determining the AR-V7-status in said patient and administering cabazitaxel. The invention also relates to a method of identifying patients with prostate cancer, eligible for treatment with cabazitaxel comprising testing a biological sample from the patient for the presence of AR-V7 circulating tumor cells, wherein the patient is eligible for treatment with said cabazitaxel if circulating tumor cells in said sample test positive for AR-V7. The invention further relates to a kit of parts for determining the AR-V7-status in isolated tumor cells of a patient with prostate cancer.

Disclosed herein are antibodies having binding specificity to the amino acid sequences Ala Ser Ser Gly Leu Thr Val Glu Val Asp (SEQ ID NO:1) and Thr Val Glu Val Asp (SEQ ID NO:14), and methods of detecting cell death in a sample, comprising contacting the sample with a first antibody specific for a C-terminal amino acid sequence Ala Ser Ser Gly Leu Thr Val Glu Val Asp (SEQ ID NO:1) or Thr Val Glu Val Asp (SEQ ID NO:14) of a CK18 protein fragment having a C-terminal amino acid sequence of Val Glu Val Asp (SEQ ID NO:2) and a second antibody that specifically binds an epitope that is present in both full-length CK18 and the CK18 protein fragment, and that does not overlap with SEQ ID NO:1 or SEQ ID NO:14, under conditions such that the CK18 protein fragment present in the sample specifically binds to the first antibody and the second antibody, wherein one of the antibodies is bound to a solid support and the other antibody is bound to a detection moiety capable of producing a signal; optionally removing any unbound or excess material; and detecting the signal from the detection moiety, wherein the signal is positively correlated with the presence of the CK18 protein fragment in the sample.

A method for identifying and enumerating candidate target cells within a biological fluid specimen is described. The method includes obtaining a biological fluid specimen, preparing the biological fluid specimen by staining cell features in the biological fluid specimen, capturing a digital image having a plurality of color channels of the biological fluid specimen, and applying image analysis to the digital image. A computer program product for identifying candidate target cells within a biological fluid specimen is also described. The computer program comprises instructions to cause a processor to carry out the image analysis.

This disclosure provides kits and methods for detecting markers in a sample from a subject with unknown status and generating a risk assessment of the presence or absence of cancer, such as colorectal cancer. In embodiments, a kit comprises at least four reagents, each specifically binding to one of at least four polypeptides in a sample from the subject. The polypeptides include GDF15, keratin 1-10, and two or more of hepsin, IL-8, CEA, L1CAM, MCP-1, and OPG. The kit further includes at least one standard comprising a known amount of at least one of the polypeptides. The kit can also include computer readable media comprising instructions to analyze the detected amounts of the at least four polypeptides using a machine learning algorithm to determine whether a subject has an increased risk of the presence of colorectal cancer.