Caris Science, Inc.

Caris Life Sciences Switzerland Holdings Gmbh

Arizona State University

Caris Mpi, Inc.

David Spetzler

Mark Miglarese

Heather O'Neill

Valeriy Domenyuk

Tassilo Hornung

Günter Mayer

Wayne Frasch

Jim Abraham

Justin York

David D Halbert

Wolfgang Michael Korn

Michael Klass

Christine Kuslich

George Poste

Traci Pawlowski

Anthony Helmstetter

Frank Schafer

Nianqing Xiao

Daniel Magee

Fusheng Xiong

Michael Famulok

Andrea Tasinato

Daniel Holterman

Adam Stark

Nick Xiao

David Halbert

Zhenyu Zhong

Methods and compositions are provided for oligonucleotides that bind targets of interest. The targets include cells and microvesicles, such as those derived from various diseases. The oligonucleotides can be used for diagnostic and therapeutic purposes. The target of the oligonucleotides can be a target such as PARP1, HIST1H1B, HIST1H1D, NCL, FBL, SFPQ, RPL12, ACTB, HIST1H4A, SSBP1, NONO, H2AFJ, and DDX21, or a complex, subunit or fragment thereof.

Therapeutic oligonucleotides

Comprehensive molecular profiling provides a wealth of data concerning the molecular status of patient samples. Such data can be compared to patient response to treatments to identify biomarker signatures that predict response or non-response to such treatments. This approach has been applied to identify biomarker signatures that strongly correlate with response of colorectal cancer patients to FOLFOX. Described herein are data structures, data processing, and machine learning models to predict effectiveness of a treatment for a disease or disorder of a subject having a particular set of biomarkers, as well as an exemplary application of such a model to precision medicine, e.g., to methods for selecting a treatment based on a molecular profile, e.g., a treatment comprising administration of 5-fluorouracil/leucovorin combined with oxaliplatin (FOLFOX) or with irinotecan (FOLFIRI).

Classifying an entity for FOLFOX treatment

Comprehensive molecular profiling provides a wealth of data concerning the molecular status of patient samples. Such data can be compared to patient response to treatments to identify biomarker signatures that predict response or non-response to such treatments. This approach has been applied to identify biomarker signatures that correlate with response of cancer patients to platinum-based chemotherapy. Described herein are data structures, data processing, and machine learning models to predict a probability of benefit of a treatment for a disease or disorder of a subject having a particular set of biomarkers, as well as an exemplary application of such a model to precision medicine, e.g., to methods for selecting a treatment based on a molecular profile, e.g., a treatment comprising platinum therapy.

Pan-cancer platinum response predictor

Methods and compositions are provided to identify oligonucleotides that bind targets of interest. The targets include tissues, cells, circulating biomarkers such as microvesicles, including those derived from various diseases. The oligonucleotides can be used in diagnostic and therapeutic applications.

Oligonucleotide probes and uses thereof

Next-generation molecular profiling

Methods and compositions are provided for oligonucleotides that bind targets of interest. The targets include cells and microvesicles, such as those derived from various diseases. The oligonucleotides can be used for diagnostic and therapeutic purposes. The target of the oligonucleotides can be a therapeutic target such as Complement Component 1, Q Subcomponent (C1q) or a subunit thereof.

Methods and compositions are provided for specific aptamers and aptamer pools that bind biomarkers of interest such as microvesicle surface antigens or functional fragments of microvesicle surface antigens. In various embodiments, aptamers of the invention are used in diagnostic, prognostic, or theranostic processes to screen a biological sample for the presence or levels of biomarkers such as microvesicles that are determined to provide a diagnostic, prognostic, or theranostic readout. The diagnosis, prognosis, or theranosis may be related to cancer or other diseases and disorders. The invention also provides methods and composition to facilitate aptamer library screening and aptamer detection methods.

Aptamers and uses thereof

Methods are provided for selecting aptamers that are specific to a target of interest from amongst a library of potential aptamer sequences. Aptamers disclosed can be used to detect and/or characterize biological entities of interest, e.g. microvesicles and/or surface antigens. Further disclosed are biomarkers that can be used for diagnosing different disorders including different types of cancer.

Compositions and methods for aptamer screening

Biomarkers can be assessed for diagnostic, therapy-related or prognostic methods to identify phenotypes, such as a condition or disease, or the stage or progression of a disease. Circulating biomarkers from a bodily fluid can be used in profiling of physiological states or determining phenotypes. These include nucleic acids, protein, and circulating structures such as vesicles. Biomarkers can be used for theranostic purposes to select candidate treatment regimens for diseases, conditions, disease stages, and stages of a condition, and can also be used to determine treatment efficacy. The biomarkers can be circulating biomarkers, including vesicles and microRNA.

Circulating biomarkers for metastatic prostate cancer

Growing community of inventors

Paradise Valley, AZ, United States of America

David Spetzler