Kim Yoonhee, Lee Wonhee, Kim Byunggak, Jang Bonghwan, Yu Kyung-Rok, Kim Hong Sook, Ryu Minok, Oh Yein, Seo Kyoungwon, Park Chul, Choi Ulsoo, Bhang Dongha, Youn Hwayoung
Department of Veterinary Clinical Pathology, College of Veterinary Medicine, Jeonbuk National University, Iksan-si, Jeollabuk-do, Republic of Korea.
Biattic Inc., #306, 16, Heungan-daero 427beon-gil, Dongan-gu, Anyang-si, Gyeonggi-do, Republic of Korea.
J Vet Intern Med. 2025 Jan-Feb;39(1):e17266. doi: 10.1111/jvim.17266.
Although the importance of early diagnosis of malignant tumors is a major concern, an easily accessible in-house method has not been established.
To investigate the most optimal model by combining thymidine kinase 1 (TK1) autoantibody, extracellular protein kinase A (ECPKA) autoantibody, TK1 antigen, C-reactive protein (CRP), age, breed, and sex.
Serum samples from 1702 dogs were collected from local animal hospitals and referral animal medical centers in Korea.
TK1 autoantibody, ECPKA autoantibody, and CRP were measured using LFIA methods in serum samples of dog to design a new neoplastic index (NI) for early detection of malignant tumors in dogs.
AUC of TK1 autoantibody model with TK1 antigen, CRP, age, and breed in multiple logistic regression analysis was 0.966 (TK1 autoantibody, P = .0005; TK1 antigen, P = .0003), and when the cutoff value was 0.417, the specificity was 87.1%, and sensitivity was 96.4%. Regression coefficients were 24.4, 20.5, 24.8, 10.6, respectively in TK1 autoantibody, TK1 antigen, CRP, and age, and the effect by breed (regression coefficient 2.1, 3.0) was the lowest. The same multiple logistic regression analysis on dogs with lymphoma, and AUC of TK1 autoantibody model was 0.981 (all P < .0001, TK1 antigen P = .09), when the cutoff value was 0.352, the specificity was 92.9%, and sensitivity was 93.7%.
The NI including TK1 autoantibody could be useful in the screening test for both lymphoma and other tumors.
尽管恶性肿瘤的早期诊断至关重要，但尚未建立一种易于获取的内部检测方法。
通过结合胸苷激酶1（TK1）自身抗体、细胞外蛋白激酶A（ECPKA）自身抗体、TK1抗原、C反应蛋白（CRP）、年龄、品种和性别，研究最优化模型。
从韩国当地动物医院和转诊动物医疗中心收集了1702只犬的血清样本。
采用LFIA法检测犬血清样本中的TK1自身抗体、ECPKA自身抗体和CRP，以设计一种用于早期检测犬恶性肿瘤的新肿瘤指数（NI）。
在多因素逻辑回归分析中，包含TK1自身抗体、TK1抗原、CRP、年龄和品种的模型的AUC为0.966（TK1自身抗体，P = 0.0005；TK1抗原，P = 0.0003），当临界值为0.417时，特异性为87.1%，敏感性为96.4%。TK1自身抗体、TK1抗原、CRP和年龄的回归系数分别为24.4、20.5、24.8、10.6，品种的影响（回归系数2.1、3.0）最小。对淋巴瘤犬进行相同的多因素逻辑回归分析，TK1自身抗体模型的AUC为0.981（所有P < 0.0001，TK1抗原P = 0.09），当临界值为0.352时，特异性为92.9%，敏感性为93.7%。
包含TK1自身抗体的NI可用于淋巴瘤和其他肿瘤的筛查试验。
