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Objective—To identify biomarker proteins for B-cell lymphoma in canine serum by use of surface-enhanced laser desorption-ionization time-of-flight (SELDI-TOF) mass spectrometry and build classification trees with multiple biomarkers that have high sensitivity and specificity for that tumor type.

Sample Population—Sera from 29 dogs with B-cell lymphoma and 87 control dogs (approx equal numbers of healthy dogs, dogs with malignant cancers other than B-cell lymphoma, and dogs with various nonneoplastic diseases or conditions).

Procedures—Serum samples were fractionated chromatographically and analyzed via SELDI-TOF mass spectrometry. Peak amplitudes of the spectra from the 2 sample groups were compared to identify potential biomarker peaks, and classification trees were built by use of computer software to detect patterns formed by multiple biomarkers among SELDI data sets.

Results—Several biomarker protein peaks in canine serum were identified, and a classification tree was built on the basis of 3 biomarker protein peaks. With 10-fold cross-validation of the sample set, the best individual serum biomarker peak had 75% sensitivity and 86% specificity and the classification tree had 97% sensitivity and 91% specificity for the classification of B-cell lymphoma.

Conclusions and Clinical Relevance—On the basis of biomarker proteins identified in canine serum, classification trees were constructed, which may be useful for the development of a diagnostic test for B-cell lymphoma in dogs. Further investigation is needed to determine whether these biomarkers are useful for screening susceptible dog populations or for monitoring disease status during treatment and remission of B-cell lymphoma in dogs.

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in American Journal of Veterinary Research