Almac Diagnostics Limited

Almac Diagnostic Services Limited

Almac Diagnostics Services Limited

Almac Diagonostics Limited

Richard Kennedy

Timothy Davison

Denis Paul Harkin

Laura A Hill

Steve Deharo

Fionnuala Patterson

Max Bylesjo

Katherine E Keating

Vitali Proutski

Jude O'Donnell

Nicolas Goffard

Andrena McCavigan

Andreas Winter

Claire Trinder

Charlie Gourley

Eamonn J O'Brien

Caroline Michie

Steven Walker

Laura Taggart

Eileen Parkes

Sinead Donegan

Gera Jellema

Paul Harkin

Julie Clarke

Peter Kerr

Vadim Farztdinov

Robert James Holt

Niamh Mcgivern

Andrena Mccavigan

Dennis Paul Harkin

Eamonn J O'BRIEN

Julie Black

Claire Wilson

Bethanie Price

Aya El-helali

Nuala Mccabe

Laura Knight

An immune response subtype of cancer is associated with DNA damage which allows subjects to be stratified for particular therapies including immune therapies which may be combined with DNA damage therapeutics. A method for predicting responsiveness to an antagonist of an inhibitory immune checkpoint and/or an agonist of a stimulatory immune checkpoint comprises determining the expression level of at least one gene selected from Table 2B, 2A or 1 in a sample from the subject. The determined expression level is used to predict responsiveness to an antagonist of an inhibitory immune checkpoint and/or an agonist of a stimulatory immune checkpoint.

Gene signature for immune therapies in cancer

Methods and compositions are provided for the identification of a molecular diagnostic test for cancer. The test identifies cancer subtypes that have an up-regulation or a down-regulation in biomarker expression related to angiogenesis and vascular development. The present invention can be used to determine whether patients with cancer are clinically responsive or non-responsive to a therapeutic regimen prior to administration of any anti-angiogenic agent. This test may be used in different cancer types and with different drugs that directly or indirectly affect angiogenesis or angiogenesis signalling. In addition, the present invention may be used as a prognostic indicator for certain cancer types. In particular, the present invention is directed to the use of certain combinations of predictive markers, wherein the expression of the predictive markers correlates with responsiveness or non-responsiveness to a therapeutic regimen.

Molecular diagnostic test for cancer

Methods and compositions are provided for the identification of a molecular diagnostic test for cancer. The test defines a novel DNA damage repair deficient molecular subtype and enables classification of a patient within this subtype. The present invention can be used to determine whether patients with cancer are clinically responsive or non-responsive to a therapeutic regimen prior to administration of any chemotherapy. This test may be used in different cancer types and with different drugs that directly or indirectly affect DNA damage or repair, such as many of the standard cytotoxic chemotherapeutic drugs currently in use. In particular, the present invention is directed to the use of certain combinations of predictive markers, wherein the expression of the predictive markers correlates with responsiveness or non-responsiveness to a therapeutic regimen.

Methods for selecting whether to administer an anti-angiogenic therapeutic agent to a subject include steps of measuring the expression levels of one or more biomarkers selected from Table 2 or Table 3 in a sample from the subject; assessing from the expression levels of the one or more biomarkers whether the sample from the subject is positive or negative for a biomarker signature, wherein if the sample is positive for the biomarker signature an anti-angiogenic therapeutic agent is contraindicated. Related prognostic methods and treatment methods are also provided. The invention is particularly applicable in ovarian and colorectal cancers.

Molecular diagnostic test for predicting response to anti-angiogenic drugs and prognosis of cancer

Methods and compositions are provided for the identification of a molecular diagnostic test for cancer. The test identifies cancer subtypes that are responsive to anti-angiogenesis therapeutics and enables classification of a patient within this subtype. The present invention can be used to determine whether patients with cancer are clinically responsive or non-responsive to a therapeutic regimen prior to administration of any anti-angiogenic agent. This test may be used in different cancer types and with different drugs that directly or indirectly affect angiogenesis or angiogenesis signalling. In addition, the present invention may be used as a prognostic indicator for certain cancer types. In particular, the present invention is directed to the use of certain combinations of predictive markers, wherein the expression of the predictive markers correlates with responsiveness or non-responsiveness to a therapeutic regimen.

Method of using a gene expression profile to determine cancer responsiveness to an anti-angiogenic agent

A gene expression signature of colon cancer, microarrays including them and methods of using the colon gene expression signature are provided. The gene expression signature is especially useful for determining the prognosis of a patient diagnosed with colon cancer, such as stage II colon cancer. The gene signature described herein is also useful for determining effectiveness of surgical resection with or without adjuvant chemotherapy, and determining possibility of cancer recurrence in patients with colon cancer.

Colon cancer gene expression signatures and methods of use

A method is provided for characterizing and/or prognosing prostate cancer in a subject comprising determining the expression level of at least one of CREM, ERRFI1, SRSF5, PDK4, HJURP, PDRG1, TRPM3, PDE4D, FI2, ADAMTS1, ADAMTS9, B3GNT5, CD38, CEBPD, CENPF, DKK1, EMP1, F3, IL1R1, IL8, JUNB, KLFIO, KLF4, LDLR, LGALS3, LPARI, MALAT1, MTUS1, MYBPC1, NFIL3, NR4A3, OAT, PI15, PTGS2, RHOBTB3, RIN2, RNFT2, SELE, SLC15A2, SOCS2, SOCS3, SSTR1, ST6GAL1, TSC22D1, XBP1 and ZFP36 in a sample from the subject. The method may be used to predict the likelihood of metastasis. Also disclosed are methods for diagnosing and selecting treatment for prostate cancer, together with corresponding methods of treatment. Systems, kits and computer programs for performing the methods are also provided.

Prostate cancer classification

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Belfast, United Kingdom

Richard Kennedy