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Sample prioritization and procurement

Sample prioritization and procurement

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A successful therapeutic strategy, specifically tailored to the molecular constitution of an individual and their disease, is an ambitious objective of modern medicine. In this report, we highlight a feasibility study in canine osteosarcoma focused on refining the infrastructure and processes required for prospective clinical trials using a series...

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... the time of the surgery, immediately post amputation of the limb, up to 5 tumor specimens (measuring approxi- mately 4 mm 3 each) were obtained per patient. Sample requirements and prioritizations are described in Table 2. Samples numbered 1-3 were mandatory collections, whereas samples numbered 4-5 were optional and only collected if excess representative tumor tissue was avail- able. ...

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... A multisite feasibility study evaluated the turn-around time for the molecular analysis of 20 dogs with OSA. 76 The team established a processing pipeline that generated a report of tumor expression within 5 days of sample receipt, demonstrating that the practical application of precision medicine in the clinical setting is reasonable. 76 Another canine case study was used to show the efficacy of personalized therapy for OSA. ...
... 76 The team established a processing pipeline that generated a report of tumor expression within 5 days of sample receipt, demonstrating that the practical application of precision medicine in the clinical setting is reasonable. 76 Another canine case study was used to show the efficacy of personalized therapy for OSA. Davis et al. used a primary OSA tumor sample from a 7 year old Golden Retriever to establish a cell line, which was then screened for sensitivity to a panel of kinase inhibitors. ...
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... A precision medicine approach leveraging data in the quantities produced by NGS requires specialist informatics skills and significant computer processing power to produce results in a form usable by clinicians. Two studies have evaluated such approaches in the veterinary context and found that results could be provided in 5 to 10 days, if appropriate infrastructure is available (Monks et al. 2013, Paoloni et al. 2014. It is feasible that this time frame could be reduced further by using the new generation of miniaturised sequencers (such as MinION, Oxford Nanopore, UK) to produce data in the clinical setting before transferring the data for analysis at a centralised external facility. ...
... Genomic techniques use minute amounts of material (milligrams or less) and this small sample size leads to an increase risk of assay failure due to inadequate numbers of tumour cells and excessive necrosis. In two of the aforementioned studies, these problems were associated with a sample quality failure rate of around 25% (Monks et al. 2013, Paoloni et al. 2014. A further biological issue alluded to above is that due to heterogeneity, the chances of a single sample being unrepresentative of the genetic diversity of the cancer as a whole (and the lethal clones specifically) is high (Cyll et al. 2017). ...
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... A recent pioneering effort among US veterinary hospitals also supports that personalized medicine is feasible as an approach for OSA treatment. This multi-site study adopted personalized medicine algorithms involving genomic profiling and bioinformatics to look at the feasibility of determining suitable therapies for an individual dog with an average turnaround time of 5 business days (50). After submission, the samples were verified by quality control for RNA quality prior to processing, after which the personalized medicine algorithms report was relayed to the attending veterinarian. ...
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... In other words, different responses can be considered to be differentially affect the phenotype of these cells. Therefore, the tumors gene expression analysis could elucidate new therapeutic targets leading to personalized treatments, as presented by the study of Monks et al. [16] which showed that it is possible to provide a report to the veterinarian from a single biopsy from amputation of the affected limb within 5 days. In relation to the study by O'Donoghue et al. [6], we explored differences in gene expression between primary tumors of OSA of dogs with disease-free interval (DFI) less than 100 days and greater than 300 days after chemotherapy. ...
... In an attempt to support the therapeutic decisions of the oncologist beyond the SOC protocols, we have established an approach to personalizing cancer treatment using rational drug selection based on tumor transcriptome analysis using a panel of drug prediction methods combined with validation of the predictions in patient-derived xenografts (PDX-also known as tumorgrafts or patient Avatars). This molecular-guided approach was recently highlighted in a pilot clinical trial in patients with recurrent neuroblastoma [12] and is being translated into other species such as canines [13]. ...
... The methods for predicting suitable therapies based on the RNA analyte have been described in detail previously [12,13] and are currently being used in both human (FDA approved) and canine clinical trials. As a brief overview, the PMed system utilized in this study is a conglomeration of five predictive methodologies which predict suitable drugs based on the RNA expression data, subsequently ranking these based on the strength of prediction (target expression) combined with the number of targets and number of methods that predict a given drug. ...
... The first PMed system (used for the Study 1 drug predictions) was developed internally at VARI and include a list of 188 compounds both developmental and FDA approved. The later PMed system (Intervention Insightsused in Study 2), is a system that evolved from the original software to be used for human patients and therefore included only 183 FDA approved drugs along with the addition of the Biomarker Rules [13]. The five methods utilized in this report include expression based methods, drug target expression (raw score) [25] and drug sensitive/resistant biomarker rules [26]. ...
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Background Precision (Personalized) medicine has the potential to revolutionize patient health care especially for many cancers where the fundamental disease etiology remains either elusive or has no available therapy. Here we outline a study in alveolar rhabdomyosarcoma, in which we use gene expression profiling and a series of drug prediction algorithms combined with a matched patient-derived xenograft (PDX) model to test bioinformatically predicted therapies.ProcedureA PDX model was developed from a patient biopsy and a number of drugs identified using gene expression analysis in combination with drug prediction algorithms. Drugs chosen from each of the predictive methodologies, along with the patient's standard-of-care therapy (ICE-T), were tested in vivo in the PDX tumor. A second study was initiated using the tumors that re-grew following the ICE-T treatment. Further expression analysis identified additional therapies with potential anti-tumor efficacy.ResultsA number of the predicted therapies were found to be active against the tumors in particular BGJ398 (FGFR2) and ICE-T. Re-transplanted ICE-T treated tumorgrafts demonstrated a decreased response to ICE-T recapitulating the patient's refractory disease. Gene expression profiling of the ICE-T treated tumorgrafts identified cytarabine (SLC29A1) as a potential therapy, which was shown, along with BGJ398, to be highly active in vivo.Conclusions This study illustrates that PDX models are suitable surrogates for testing potential therapeutic strategies based on gene expression analysis, modeling clinical drug resistance and hold the potential to assist in guiding prospective patient care. Pediatr Blood Cancer © 2014 Wiley Periodicals, Inc.
... Companion animals with cancer have been increasingly used to provide insight into tumor biology and in clinical studies of drug development [15,21,22]. As noted above, this is particularly germane to PMed where traditional rodent xenograft models do not collectively represent the heterogeneity known to exist in a population of human patients with a given histological diagnosis of cancer [14,23]. ...
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Background Molecularly-guided trials (i.e. PMed) now seek to aid clinical decision-making by matching cancer targets with therapeutic options. Progress has been hampered by the lack of cancer models that account for individual-to-individual heterogeneity within and across cancer types. Naturally occurring cancers in pet animals are heterogeneous and thus provide an opportunity to answer questions about these PMed strategies and optimize translation to human patients. In order to realize this opportunity, it is now necessary to demonstrate the feasibility of conducting molecularly-guided analysis of tumors from dogs with naturally occurring cancer in a clinically relevant setting.MethodologyA proof-of-concept study was conducted by the Comparative Oncology Trials Consortium (COTC) to determine if tumor collection, prospective molecular profiling, and PMed report generation within 1 week was feasible in dogs. Thirty-one dogs with cancers of varying histologies were enrolled. Twenty-four of 31 samples (77%) successfully met all predefined QA/QC criteria and were analyzed via Affymetrix gene expression profiling. A subsequent bioinformatics workflow transformed genomic data into a personalized drug report. Average turnaround from biopsy to report generation was 116 hours (4.8 days). Unsupervised clustering of canine tumor expression data clustered by cancer type, but supervised clustering of tumors based on the personalized drug report clustered by drug class rather than cancer type.Conclusions Collection and turnaround of high quality canine tumor samples, centralized pathology, analyte generation, array hybridization, and bioinformatic analyses matching gene expression to therapeutic options is achievable in a practical clinical window (
... Genetic analysis of these samples confirmed that the gene expression signatures of canine and human OS are highly similar, and even parallel human survival analyses [81,82 ]. Because of these striking similarities, canine osteosarcoma is gaining fast attention as a valid clinical model for the human disease [83,84], and more effort should be put in setting up drug trials with canine patients, as an important clinical surrogate to start human clinical trials. ...