Tripath Imaging, Inc.

Clark Merrill Whitehead

Timothy J Fischer

John Groelke

Robert L Cheek

Eric P Dixon

Steven L Knapp

Stephen G Simkins

Raphael Rodolphe Marcelpoil

Adriann J Taylor

Ramona R Nelson

Compositions and methods for preparing a sample for immunological staining are provided. Compositions include kits comprising a first solution comprising a surfactant and a second solution comprising a chaotropic agent. Methods comprise contacting a sample, such as cells or tissues, with a first solution comprising a surfactant and then contacting the sample with a second solution comprising a chaotropic agent. The method does not require extreme heat for antigen retrieval and therefore, maintains the cellular morphology of the sample.

Methods and compositions for preparing samples for immunostaining

Compositions and methods for diagnosing ovarian cancer in a patient and for identifying patients with an increased likelihood of having ovarian cancer are provided. The compositions include novel monoclonal antibodies, and variants and fragments thereof, that specifically bind to glycodelin. Monoclonal antibodies having the binding characteristics of a glycodelin antibody of the invention and monoclonal antibodies that bind to a glycodelin epitope of a disclosed antibody are further provided. Hybridoma cell lines that produce a glycodelin monoclonal antibody of the invention are also disclosed herein. Kits comprising one or more of the disclosed glycodelin monoclonal antibodies and for practicing the methods of the invention are further provided. Polypeptides comprising the amino acid sequence for a glycodelin epitope of a disclosed monoclonal glycodelin antibody and methods of using these polypeptides in the production of glycodelin antibodies are also encompassed by the present invention.

Glycodelin monoclonal antibodies and methods for their use in the detection of ovarian cancer

Compositions and methods for diagnosing ovarian cancer in a patient and for identifying patients with an increased likelihood of having ovarian cancer are provided. The compositions include novel monoclonal antibodies, and variants and fragments thereof, that specifically bind to glycodelin. Monoclonal antibodies having the binding characteristics of a glycodelin antibody of the invention and monoclonal antibodies that bind to a glycodelin epitope of a disclosed antibody are further provided. Hybridoma cell lines that produce a glycodelin monoclonal antibody of the invention are also disclosed herein. The compositions find use in diagnostic methods as well as in screening methods for identifying patients having an increased likelihood of having ovarian cancer. Kits comprising one or more of the disclosed glycodelin monoclonal antibodies and for practicing the methods of the invention are further provided. Polypeptides comprising the amino acid sequence for a glycodelin epitope of a disclosed monoclonal glycodelin antibody and methods of using these polypeptides in the production of glycodelin antibodies are also encompassed by the present invention.

Methods and computer program products for evaluating and optimizing one or more markers for use in establishing a prognosis for a patient suffering from a disease are provided. More particularly, the methods include steps for systematically evaluating a number of features that may be extracted from an image of a body sample, such as a histological slide, that has been exposed to one or more biomarkers so as to establish a prognostic decision rule based on one or more of the extracted features such that the decision rule yields a prognosis that is optimally predictive of actual patient outcome. Thus, the methods and computer program products provided yield optimally predictive prognoses to assist clinicians in developing strategies for effective patient care management.

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Cary, NC, United States of America

Clark Merrill Whitehead