Abstract: An image analysis method for determining the biomedical state of a tissue sample. The method includes receiving a digital image of a tissue sample identifying the number and location of A-type cells and B-type cells, obtaining an observed relative distribution, obtaining a reference relative distribution of expected distances between reference A-type cells and reference B-type cells, computing a proximity score as a difference of the reference relative distribution and the observed relative distribution, computing a combined score comprising the proximity score and the density of the A-type cells and/or the density of the B-type cells, and using the combined score for determining the biomedical state of the tissue sample and/or outputting the combined score.

Abstract: At least one embodiment relates to an image analysis system for tumor classification. The system is configured for receiving at least one digital image of a tissue sample; analyzing the at least one received image for identifying immune cells and tumor cells in the at least one received image; for each of the identified tumor cells, determining the distance of the tumor cell to the nearest immune cell; computing a proximity measure as a function of the determined distances; in dependence on the proximity measure, classifying the identified tumor cells into tumor cells of an inflammatory tumor or as tumor cells of a non-inflammatory tumor; and storing the classification result on a storage medium and/or displaying the classification result on a display device.

Abstract: The system is configured to receive at least one digital image of a tissue sample of a patient; analyze the at least one received image for identifying tumor cells in a region of the at least one received image; analyze the at least one received image for identifying FAP+ areas in the region, each FAP+ area being a pixel blob representing one or more cells express the fibroblast activation protein—“FAP”; analyze the at least one received image for identifying distances between the identified tumor cells and their respective nearest FAP+ area; computing a proximity measure as a function of the identified distances; process the proximity measure by a classifier for generating a classification result, the classification result indicating if the tumor of the patient can be treated by a drug or drug-component that binds to FAP; and output the classification result.

Abstract: Embodiments of substrates and processes for chromogenic detection, and in particular pyrazolyl dihydrogen phosphate compounds, are disclosed.

Abstract: The present invention provides a method and kit for detection of two or more target molecules in a single tissue sample, such as for gene and protein dual detection in a single tissue sample. Methods comprise treating a tissue sample with a first binding moiety that specifically binds a first target molecule. Methods further comprise treating the tissue sample with a solution containing a soluble electron-rich aromatic compound prior to or concomitantly with contacting the tissue sample with a hapten-labeled binding moiety and detecting a second target molecule. In one example, the first target molecule is a protein and the second is a nucleic acid sequence, the first target molecule being detected by immunohistochemistry and the second by in situ hybridization. The disclosed method reduces background due to non-specific binding of the hapten-labeled specific binding moiety to an insoluble electron rich compound deposited near the first target molecule.

Abstract: The present invention provides a method and kit for detection of two or more target molecules in a single tissue sample, such as for gene and protein dual detection in a single tissue sample. Methods comprise treating a tissue sample with a first binding moiety that specifically binds a first target molecule. Methods further comprise treating the tissue sample with a solution containing a soluble electron-rich aromatic compound prior to or concomitantly with contacting the tissue sample with a hapten-labeled binding moiety and detecting a second target molecule. In one example, the first target molecule is a protein and the second is a nucleic acid sequence, the first target molecule being detected by immunohistochemistry and the second by in situ hybridization. The disclosed method reduces background due to non-specific binding of the hapten-labeled specific binding moiety to an insoluble electron rich compound deposited near the first target molecule.

Abstract: Embodiments of substrates and processes for chromogenic detection, and in particular pyrazolyl dihydrogen phosphate compounds, are disclosed.

Abstract: Disclosed herein are antigen-binding molecules, such as antibodies, that specifically recognize a portion of the EGFR C-terminal (intracellular) regulatory domain that interacts with one or more regulatory molecules (such as Suppressor of Cytokine Signaling (“SOCS”) proteins). In certain normal or neoplastic cells and/or tissues, this region is inaccessible to the disclosed antigen-binding molecules. Thus, such antigen-binding molecules are useful at least to interrogate the regulated state of EGFR, predict the response of a cancer patient to EGFR inhibitor therapies, and/or predict the aggressiveness of neoplasms.

Abstract: The present invention provides compositions and methods for simultaneously detecting mutational status and gene copy number. In particular, the present invention provides simultaneous measurement of gene copy number and detection of the L858R and Exon 19 del mutations in a tissue sample.

Abstract: Disclosed herein are methods of predicting prognosis of a neoplastic disease (such as lung cancer, for example NSCLC), including determining the IGF1R gene copy number in a biological sample from a patient having a neoplastic disease; wherein an increase in IGF1R copy number predicts a good prognosis of the neoplastic disease in the patient. Also disclosed herein are methods of scoring copy number of a gene of interest in a biological sample. The method includes identifying individual cells in the sample having highest number of signals for the gene of interest detected by in situ hybridization, counting the number of signals for the gene of interest in the identified individual cells and determining an average number of signals per cell.

Abstract: The present invention provides a method and kit for detection of two or more target molecules in a single tissue sample, such as for gene and protein dual detection in a single tissue sample. Methods comprise treating a tissue sample with a first binding moiety that specifically binds a first target molecule. Methods further comprise treating the tissue sample with a solution containing a soluble electron-rich aromatic compound prior to or concomitantly with contacting the tissue sample with a hapten-labeled binding moiety and detecting a second target molecule. In one example, the first target molecule is a protein and the second is a nucleic acid sequence, the first target molecule being detected by immunohistochemistry and the second by in situ hybridization. The disclosed method reduces background due to non-specific binding of the hapten-labeled specific binding moiety to an insoluble electron rich compound deposited near the first target molecule.

Abstract: Disclosed herein are antigen-binding molecules, such as antibodies, that specifically recognize a portion of the EGFR C-terminal (intracellular) regulatory domain that interacts with one or more regulatory molecules (such as Suppressor of Cytokine Signaling (“SOCS”) proteins). In certain normal or neoplastic cells and/or tissues, this region is inaccessible to the disclosed antigen-binding molecules. Thus, such antigen-binding molecules are useful at least to interrogate the regulated state of EGFR, predict the response of a cancer patient to EGFR inhibitor therapies, and/or predict the aggressiveness of neoplasms.

Abstract: Disclosed herein are antigen-binding molecules, such as antibodies, that specifically recognize a portion of the EGFR C-terminal (intracellular) regulatory domain that interacts with one or more regulatory molecules (such as Suppressor of Cytokine Signaling (“SOCS”) proteins). In certain normal or neoplastic cells and/or tissues, this region is inaccessible to the disclosed antigen-binding molecules. Thus, such antigen-binding molecules are useful at least to interrogate the regulated state of EGFR, predict the response of a cancer patient to EGFR inhibitor therapies, and/or predict the aggressiveness of neoplasms.