Serum thymidine kinase activity in clinically healthy and diseased cats: a potential biomarker for lymphoma

Taylor, Samantha; Dodkin, SJ; Papasouliotis, Kostas; Evans, Helen; Graham, Peter; Belshaw, Zoe; Westberg, Sara; Euler, Henrik P. von

doi:10.1177/1098612x12463928

Cited by 12 publications

(8 citation statements)

References 17 publications

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“…Using disease indicators from feces, 6 it was previously shown that fecal α1-PI concentration is higher in cats with severe IBD or ALA. The same study showed that low serum albumin and total protein concentrations may be common findings in cats with IBD or ALA. Serum thymidine kinase activity 31 has been reported to be a useful tumor marker in humans and animals. The level of thymidine kinase in serum has shown also to be a prognostic indicator of ALA.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of supervised machine-learning algorithms to distinguish between inflammatory bowel disease and alimentary lymphoma in cats

et al. 2016

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Inflammatory bowel disease (IBD) and alimentary lymphoma (ALA) are common gastrointestinal diseases in cats. The very similar clinical signs and histopathologic features of these diseases make the distinction between them diagnostically challenging. We tested the use of supervised machine-learning algorithms to differentiate between the 2 diseases using data generated from noninvasive diagnostic tests. Three prediction models were developed using 3 machine-learning algorithms: naive Bayes, decision trees, and artificial neural networks. The models were trained and tested on data from complete blood count (CBC) and serum chemistry (SC) results for the following 3 groups of client-owned cats: normal, inflammatory bowel disease (IBD), or alimentary lymphoma (ALA). Naive Bayes and artificial neural networks achieved higher classification accuracy (sensitivities of 70.8% and 69.2%, respectively) than the decision tree algorithm (63%, p < 0.0001). The areas under the receiver-operating characteristic curve for classifying cases into the 3 categories was 83% by naive Bayes, 79% by decision tree, and 82% by artificial neural networks. Prediction models using machine learning provided a method for distinguishing between ALA-IBD, ALA-normal, and IBD-normal. The naive Bayes and artificial neural networks classifiers used 10 and 4 of the CBC and SC variables, respectively, to outperform the C4.5 decision tree, which used 5 CBC and SC variables in classifying cats into the 3 classes. These models can provide another noninvasive diagnostic tool to assist clinicians with differentiating between IBD and ALA, and between diseased and nondiseased cats.

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Section: Discussionmentioning

confidence: 99%

Evaluation of supervised machine-learning algorithms to distinguish between inflammatory bowel disease and alimentary lymphoma in cats

et al. 2016

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“…Increased serum TK1 activity is seen associated with leakage of the enzyme from dying cells during replication and increased activity of TK1 is associated with hematologic neoplasia in humans 5,6 . Serum TK1 activity is used as a marker of lymphoma in dogs and cats 4,7,8 . The use of TK1 has expanded in other species, including monitoring progression of disease and remission in dogs, cats, and humans 9‐12 .…”

Section: Introductionmentioning

confidence: 99%

Clinical performance of a commercially available thymidine kinase 1 assay for diagnosis of lymphoma in 42 hospitalized horses (2017‐2020)

Moore

Stefanovski

Luethy

2021

Veterinary Internal Medicne

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Background Antemortem definitive diagnosis of lymphoma in horses is often difficult. Thymidine kinase 1 (TK1) assay is a potentially useful biomarker for lymphoma in horses. Hypothesis/objectives To report the clinical performance of a commercially available TK1 assay for diagnosis of lymphoma in horses. We hypothesized that there would be no association between serum TK1 activity and a diagnosis of lymphoma in horses. Animals Forty‐two hospitalized horses, 14 with a definitive diagnosis of lymphoma, 4 with other neoplasia, and 24 with inflammatory disease. Methods Retrospective medical record review, groups were compared via Kruskal‐Wallis and Mann‐Whitney tests, and logistic regression was performed. Results Median (range) TK1 was 3 U/L (0.4‐17.7 U/L) in horses with lymphoma and 3.9 U/L (0.8‐94 U/L) in horses without lymphoma (P = .59). There was no significant difference in total protein between horses with and without lymphoma (6.6 g/dL [5.5‐8.3 g/dL] vs 6.6 g/dL [4.7‐10.4 g/dL]; P = .83). There was no significant difference in fibrinogen between horses with and without lymphoma (447 [100‐1364] mg/dL vs 433 [291‐2004] mg/dL; P = .47). On logistic regression, serum TK1 activity was not associated with a diagnosis of lymphoma (odds ratio, 0.97; 95% confidence interval, 0.9‐1.05, P = .48). Conclusion and Clinical Importance Serum TK1 values were not predictive of lymphoma diagnosis in this cohort of horses.

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“…2,4,5 In veterinary species, high levels of serum TK1 compared with normal range are detected in canine lymphoma, splenic hemangiosarcoma, and feline lymphoma. [2][3][4][5][6][7][8] Solid tumors in dogs and humans do not show consistently increased levels precluding serum TK1 levels as a general biomarker for all cancer histologies. 3 However, it is used in humans for breast, lung, and colorectal cancer.…”

Section: Tests For Lymphoma Veterinary Diagnostics Institute Tkcanine1mentioning

confidence: 95%

Cancer Screening Tests for Small Animals

Schleis

2014

Veterinary Clinics of North America: Small Animal Practice

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Serum thymidine kinase activity in clinically healthy and diseased cats: a potential biomarker for lymphoma

Cited by 12 publications

References 17 publications

Evaluation of supervised machine-learning algorithms to distinguish between inflammatory bowel disease and alimentary lymphoma in cats

Evaluation of supervised machine-learning algorithms to distinguish between inflammatory bowel disease and alimentary lymphoma in cats

Clinical performance of a commercially available thymidine kinase 1 assay for diagnosis of lymphoma in 42 hospitalized horses (2017‐2020)

Cancer Screening Tests for Small Animals

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