Serum biomarkers which correlate with failure to respond to immunotherapy and tumor progression in a murine colorectal cancer model

Vafadar-Isfahani, Baharak; Laversin, Stéphanie A; Ahmad, Murrium; Ball, Graham; Coveney, Clare; Lemetre, Christophe; Miles, Amanda K.; Schalkwyk, Gerhard van; Rees, Robert C.; Matharoo-Ball, Balwir

doi:10.1002/prca.200900218

Cited by 8 publications

(5 citation statements)

References 67 publications

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“…107 In a mouse model of colorectal cancer with a novel immunotherapy treatment, SAA and SAP levels were higher in nonresponders. 108 We have also proposed implementing APP assays as an aid to determine the humane endpoint for different animal models of disease. 1 In most studies, the endpoint of an experimental model is often loosely judged on subjective measures and based on the desire of the investigator to obtain endpoint information which may often be clouded by the severe clinical disease in the animal.…”

Section: Prognosismentioning

confidence: 99%

Acute Phase Proteins in Animals

Cray

2012

Progress in Molecular Biology and Translational Science

507

701

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Acute phase proteins (APP) were first identified in the early 1900s as early reactants to infectious disease. They are now understood to be an integral part of the acute phase response (APR) which is the cornerstone of innate immunity. APP have been shown to be valuable biomarkers as increases can occur with inflammation, infection, neoplasia, stress, and trauma. All animals--from fish to mammals--have demonstrable APP, but the type of major APP differs by species. While the primary application of these proteins in a clinical setting is prognostication, studies in animals have demonstrated relevance to diagnosis and detection and monitoring for subclinical disease. APP have been well documented in laboratory, companion, and large animals. With the advent of standardized and automated assays, these biomarkers are available for use in all fields of veterinary medicine as well as basic and clinical research.

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Section: Prognosismentioning

confidence: 99%

Acute Phase Proteins in Animals

Cray

2012

Progress in Molecular Biology and Translational Science

507

701

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“… 4 Nevertheless, similar to chemotherapy alone, immunotherapy appears not to be effective enough when used alone. 5 …”

Section: Introductionmentioning

confidence: 99%

Surface modified multifunctional nanomedicines for simultaneous imaging and therapy of cancer

Barar

Omidi

2014

BioImpacts; ISSN 2228-5660

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“…The top 100 ranked genes based on RMS error were selected for further analysis using an ANN based Network Inference approach [ 55 ]. This algorithm determines a weight for all of the potential interactions in the defined set (9900 in 100 probes), so that the magnitude of a probe’s influence in the contextualised probe set (top 100) can be determined.…”

Section: Methodsmentioning

confidence: 99%

Temporal Expression of Peripheral Blood Leukocyte Biomarkers in a Macaca fascicularis Infection Model of Tuberculosis; Comparison with Human Datasets and Analysis with Parametric/Non-parametric Tools for Improved Diagnostic Biomarker Identification

et al. 2016

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A temporal study of gene expression in peripheral blood leukocytes (PBLs) from a Mycobacterium tuberculosis primary, pulmonary challenge model Macaca fascicularis has been conducted. PBL samples were taken prior to challenge and at one, two, four and six weeks post-challenge and labelled, purified RNAs hybridised to Operon Human Genome AROS V4.0 slides. Data analyses revealed a large number of differentially regulated gene entities, which exhibited temporal profiles of expression across the time course study. Further data refinements identified groups of key markers showing group-specific expression patterns, with a substantial reprogramming event evident at the four to six week interval. Selected statistically-significant gene entities from this study and other immune and apoptotic markers were validated using qPCR, which confirmed many of the results obtained using microarray hybridisation. These showed evidence of a step-change in gene expression from an ‘early’ FOS-associated response, to a ‘late’ predominantly type I interferon-driven response, with coincident reduction of expression of other markers. Loss of T-cell-associate marker expression was observed in responsive animals, with concordant elevation of markers which may be associated with a myeloid suppressor cell phenotype e.g. CD163. The animals in the study were of different lineages and these Chinese and Mauritian cynomolgous macaque lines showed clear evidence of differing susceptibilities to Tuberculosis challenge. We determined a number of key differences in response profiles between the groups, particularly in expression of T-cell and apoptotic makers, amongst others. These have provided interesting insights into innate susceptibility related to different host `phenotypes. Using a combination of parametric and non-parametric artificial neural network analyses we have identified key genes and regulatory pathways which may be important in early and adaptive responses to TB. Using comparisons between data outputs of each analytical pipeline and comparisons with previously published Human TB datasets, we have delineated a subset of gene entities which may be of use for biomarker diagnostic test development.

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Serum biomarkers which correlate with failure to respond to immunotherapy and tumor progression in a murine colorectal cancer model

Abstract: MALDI-TOF-MS and BI analysis of the serum proteome of tumor-bearer mice undergoing immunotherapy, identified biomarkers associating with "failure to respond" and biological arrays confirmed these findings.

Cited by 8 publications

References 67 publications

Acute Phase Proteins in Animals

Acute Phase Proteins in Animals

Surface modified multifunctional nanomedicines for simultaneous imaging and therapy of cancer

Temporal Expression of Peripheral Blood Leukocyte Biomarkers in a Macaca fascicularis Infection Model of Tuberculosis; Comparison with Human Datasets and Analysis with Parametric/Non-parametric Tools for Improved Diagnostic Biomarker Identification

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