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A multi-site feasibility study for personalized medicine in canines with osteosarcoma.

BACKGROUND
A successful therapeutic strategies, specifically tailored to the constitution of individual molecules and their disease, an ambitious goal of modern medicine. In this report, we highlight the feasibility study in canine osteosarcoma focus on improving infrastructure and processes necessary for prospective clinical trials using a series of gene expression-based Personalized Medicine (PMed) algorithm to predict the appropriate therapy within 5 days of receipt of the samples.

METHOD
Tumor tissue samples were collected immediately after the amputation of limbs and shipped overnight from veterinary practices. After receiving (day 1), RNA was extracted from snap-frozen tissues, with H & E section adjacent to the pathological diagnosis. RNA samples passed and sent to the laboratory of pathology QC CLIA-certified for genomic profile. After mapping the human gene set dog investigation and normalize (normal) reference set, the level of gene Z-score algorithm submitted to PMed. PMed report is generated immediately forwarded to the vet. After receiving and reviewing reports PMed, feedback from practicing veterinarian arrested.

RESULTS
20 subjects were enrolled for 5 months. A network of 13 subjects passed both histological and RNA QC and submitted for genomic analysis and subsequent PMed analysis Canine Clia Kits and report generation. 11 of 13 samples produced PMed report is communicated to the vet in the target 5 working days. Of the 7 samples that failed QC, 4 are due to poor RNA quality, while the two who failed the following review pathological. Comments from practicing veterinarians generally positive and constructive, highlighting a number of areas for improvement, including enhanced education regarding PMed interpretation report, the availability of drugs, affordable prices and a suitable dose dog.

CONCLUSION
This feasibility trial showed that with the right infrastructure and processes are likely to perform in-depth analysis of patient tumor molecules in real time to support therapeutic decision making within 5 days of receipt of the samples. A number of areas for improvement have been identified that should reduce the level of friction of samples and clinical decision support.
A multi-site feasibility study for personalized medicine in canines with osteosarcoma.


Accurate prediction of the date of birth of the dog is useful for clinical management of parturition. For almost all normal dogs pregnancy, parturition occurs 64-66 days from the LH peak, the time that is indistinguishable from the initial sharp rise in serum progesterone (P4) concentrations. We are trying to determine if prebreeding retrospective analysis of serum progesterone concentration can accurately predict the date of birth. Serum progesterone concentration is recorded as a sample series of 63 prostitutes (19 offspring) were analyzed. 

Progesterone concentrations were Caprine Clia Kits measured by radioimmunoassay (RIA) or chemiluminescent immunoassay (CLIA). CLIA method is validated for use in determining the concentration of P4 in dog serum and the results are comparable to those obtained by RIA. Bitches grouped not pregnant body weight (BW) and litter size (LS). Day 0 (D0), the preovulasi rise in serum P4, is defined as the day of P4 concentration rose to >> or = L.5 ng / ml and at least twice the initial concentration.
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