Cold Spring Harbor Laboratory

Koninklijke Philips Corporation N.v.

Robert Lucito

Michael H Wigler

Sitharthan Kamalakaran

Nevenka Dimitrova

Angel Janevski

Nilanjana Banerjee

Vinay Varadan

James Bruce Hicks

John Healy

The present invention relates to a method for identifying multi-modal associations between biomedical markers which allows for the determination of network nodes and/or high ranking network members or combinations thereof, indicative of having a diagnostic, prognostic or predictive value for a medical condition, in particular ovarian cancer. The present invention further relates to a biomedical marker or group of biomedical markers associated with a high likelihood of responsiveness of a subject to a cancer therapy, preferably a platinum based cancer therapy, wherein said biomedical marker or group of biomedical markers comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 8, 19, 20 or all markers selected from PKMYT1, SKIL, RAB8A, HIRIP3, CTNNB1, NGFR, ZCCHC11, LSP1, CD200, PAX8, CYBRD1, HOXC11, TCEAL1, FZD10, FZD1, BBS4, IRS2, TLX3, TSPAN2, TXN, and CFLAR. Furthermore, an assay for detecting, diagnosing, graduating, monitoring or prognosticating a medical condition, or for detecting, 1 diagnosing, monitoring or prognosticating the responsiveness of a subject to a therapy against said medical condition, in particular ovarian cancer, is provided, as well as a corresponding method for classifying a subject comprising and a medical decision support system.

Identification of multi-modal associations between biomedical markers

The invention provides oligonucleotide probes that can be used to hybridize to a representation of nucleic acid sequences. Compositions containing the probes such as microarrays are also provided. The invention also provides methods of using these probes and compositions in therapeutic, diagnostic, and research applications. Systems and methods for using a word counting algorithm that can quickly and accurately count the number of times a particular string of characters (i.e., nucleotides) appears in a nucleotide sequence (e.g., a genome) are provided. This algorithm can be used to identify the oligonucleotide probes of the invention. The algorithm uses a transform of a genome and an auxiliary data structure to count the number of times a particular word occurs in the genome.

Method of identifying virtual representations of nucleotide sequences

It is an object of the present invention to provide a solution to problems associated with the use of microarray technology for the analysis DNA. The present invention provides compositions and methods for the use of simple and compound representations of DNA in microarray technology. The present invention is also directed to methods for the production of High Complexity Representations (HCRs) of the DNA from cells.

Use of representations of DNA for genetic analysis

The invention relates to a method for the analysis of ovarian cancer disorders, comprising determining the genomic methylation status of one or more CpG dinucleotides in a sequence selected from the group of sequences according to SEQ ID NO. 1 to 10 and/or SEQ ID NO. 50 to SEQ ID NO. 60. Optionally, additionally following steps are performed, the one or more results from the methylation status test is input into a classifier that is obtained from a Diagnostic Multi Variate Model, calculating a likelihood as to whether the sample is from a normal tissue or an ovarian cancer tissue and/or, calculating an associated p-value for the confidence in the prediction.

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East Meadow, NY, United States of America

Robert Lucito