A method that provides a graphical indication of whether a patient will have cancer recurrence uses univariate and bivariate prognostic features that were generated as part of a minimal spanning tree (MST). The method determines the values of first and second features. A first value is measured by detecting objects in an image of tissue from the cancer patient stained with a protein-specific IHC biomarker. A second value is measured using objects marked with an mRNA-specific probe biomarker detected in the tissue. The first feature is the univariate prognostic feature for cancer recurrence in a cohort of cancer patients. A combination of the first and second features is the bivariate prognostic feature for cancer recurrence in the cohort. The first and second features are elements of the MST. Nodes of the MST represent the univariate features, edges represent the bivariate features, and edge weights represent prognostic significance of bivariate features.

A method for predicting the risk of recurrence of Atrial Fibrillation in a subject based on measuring the amount of the biomarker Angiopoietin-2 (Ang-2) and optionally of at least one further biomarker in a sample from the subject is described. Also described is a method of diagnosing Atrial Fibrillation in a subject suspected to suffer from Atrial Fibrillation based on measuring the amount of the biomarker Angiopoietin-2 (Ang-2) and optionally of at least one further biomarker in a sample from the subject. Also described are devices adapted to carry out the method of the present disclosure.

The present invention relates to an in vitro method for the prognosis of survival of a patient suffering from a solid cancer, comprising the quantification of the cell density of CD8+ cells and DC-LAMP+ dendritic cells present in a tumor tissue sample from said patient, wherein a high density of CD8+ cells and DC-LAMP+ dendritic cells indicates that the patient has a favorable prognosis, a high density of CD8+ cells and a low density of DC-LAMP+ dendritic cells indicates that the patient has a poor prognosis, and a low density of CD8+ cells and DC-LAMP+ dendritic cells indicates that the patient has the worst prognosis.

A method of providing information for predicting a risk of a recurrence after treatment of a patient with paroxysmal atrial fibrillation (AF) is provided. The method includes measuring a concentration of tissue inhibitor of metalloproteinase (TIMP)-1 from a sample isolated from a patient, and detecting a presence of a genetic variant at rs10033464 GG on chromosome 4q25 from nucleic acid separated from the sample.

Methods for determining the presence of cancer stem cells by detecting GD2 expression. Also provided are methods for reducing proliferation of cancer stem cells by contacting the cells with a GD2 targeting agent, such as an anti-GD2 antibody or a GD3 synthase inhibitor. GD3 synthase inhibitor compounds are also provided.

The present disclosure relates to the field of biotechnologies. Specifically disclosed are an interferon signaling pathway-related gene panel and an in vitro diagnostic product thereof, and the use of the same in assessing the recurrence risk of breast cancer and/or providing guidance for breast cancer treatment with interferon.

The present disclosure relates to a method for validating an existence of a urinary exosome including steps as follows. A urine sample is obtained from a subject. The urine sample is performing a serially centrifugation step to obtain a third precipitate. The third precipitate is resuspended with an extraction solvent to obtain a third mixture, and the third mixture is centrifuged to obtain a fourth supernatant. The fourth supernatant is analyzed by a mass spectrometry to detect whether there is a particular peptide therein.

Methods for detecting a prostate cancer in a subject comprise detecting a marker selected from an endosomal associated marker and/or a lysosomal associated marker from the subject.

The disclosure provides, inter alia, methods of detecting IL-6 signaling activity in T cells in breast cancer patients, such as breast cancer patients in remission.

Polypeptide marker antigens for detecting the presence of autoantibody biomarkers associated with ovarian cancer recurrence, each of the polypeptide marker antigens binding specifically to at least one autoantibody marker. An antibody binding assay for detecting the presence of autoantibody biomarkers associated with ovarian cancer recurrence, and methods for performing the assay. Methods for determining ovarian cancer recurrence in an ovarian cancer patient. A method for isolating antibodies specific for ovarian cancer by their affinity to the polypeptide marker antigens, and antibodies isolated by that method.