The present invention provides methods for screening and diagnosing prostate cancer based on a correlation between cancer cell growth, cancer lethality or recurrence and the expression level of ZFP36 or NEDD9 and PTEN in conjunction with ZFP36. The disclosure also provides methods for screening and diagnosing prostate cancer based on a correlation between cancer lethality and the genotype of rs1910301 SNP. Also provided are methods for treating prostate cancer comprising providing a treatment or monitoring based on the expression level of ZFP36, the expression level of NEDD9, and the expression level of ZFP36 in conjunction with PTEN levels or the genotype of rs1910301 SNP.

Method of determining a likelihood of cancer relapse in a subject who has completed cancer tumor surgery, radiotherapy treatment and/or chemotherapy treatment comprises contacting an antibody that binds specifically to a serum form of thymidine kinase 1 (STK1) protein with a blood serum sample one to six months after completing the surgery and/or treatment, and before any cancer relapse has been detected; determining an amount of antibody binding to STK1 protein in the sample; correlating the amount of antibody binding to STK1 protein to a concentration of STK1 protein in the sample; and based on the concentration of STK1 protein in the sample, generating decision support information representative of a likelihood of cancer relapse in the subject one to ten years after completion of the surgery and/or treatment, the decision support information comprising a likelihood value defining one of a high or low likelihood of cancer relapse.

The use of differentiation marker CD32 for the detection of cellular reservoirs of a mammalian immunodeficiency virus. Also the use of the differentiation marker CD32 for making a prognosis, diagnosing a remission, and evaluating the efficacy of treatment of the mammalian immunodeficiency. A multi-specific antibody that recognizes both at least one epitope of CD32 and at least one characteristic of the lymphocyte cells, a composition including the antibody, and the use of the antibody in treatment.

The present invention relates to methods for prognosis and monitoring of a cancer, preferably bladder cancer, by measuring the proportion of CD8.sup.+ T Lymphocytes expressing ILT-2 and the plasma level of soluble HLA-G. The invention also relates to anti HLA-G antibodies for use for treating a cancer in which tumor cells express HLA-G, preferably bladder cancer.

Provided are a composition, a kit, and a method of predicting prognosis of ovarian cancer or a risk of recurrence of ovarian cancer. Provided are a composition for treating ovarian cancer or preventing recurrence of ovarian cancer and a method of screening a material for treating ovarian cancer or preventing recurrence of ovarian cancer. According to the present disclosure, prognosis or recurrence of ovarian cancer can be efficiently diagnosed, and a candidate material that can treat ovarian cancer or prevent recurrence of ovarian cancer can be efficiently screened.

The present invention relates to methods and kits for diagnosing Idiopathic steroid sensitive nephrotic syndrome. The inventors showed that idiopathic nephrotic syndrome (INS) patients display a significant plasma level of anti-UCHL1 IgG that target the podocytes. Based on the correlation between the plasma level of anti UCHL1 IgG and proteinuria, they suggested that anti UCHL1 IgG plays a central role in the development of massive proteinuria. In particular, the present invention relates to a method of determining whether a subject suffers from idiopathic steroid sensitive nephrotic syndrome (INS) comprising i) determining the concentration of plasma anti-UCHL1 IgG in a sample obtained from the subject ii) comparing the concentration determined at step i) with a predetermined reference value and iii) concluding that the subject suffer from idiopathic steroid sensitive nephrotic syndrome when the concentration determined at step i) is higher than the predetermined reference value.

The present application is in the field of sialic acid biochemistry, metabolism and antigenicity. More particularly, the present invention relates to the detection and analysis of Siglec-XII in a human biological sample for risk prediction, prognostication and diagnosis of disease. Also provided are devices configured to perform the methods disclosed herein.

The present technology relates generally to determining a risk of recurrence of disease in a cancer patient. In particular, this approach to determining a risk of recurrence involves utilizing standardized quantitative assessments of the level of biomarker expression selected from estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki-67 (Ki67) in a patient's tumor to determine the risk of recurrence, thereby allowing a caretaker to determine the best course of treatment for the patient.

Described herein are methods for determining the prognosis of a patient diagnosed with Acute Lymphoblastic Leukemia (ALL), and particularly determining the risk of disease relapse following standard treatment. Also described are systems of treatment that are directed by a health care provider, and which include the described prognostic methods and the treatments recommended for patients determined to have a specific relapse risk.

Provided herein are methods, kits, systems, and compositions or liquid biopsy yield enhancement.