Koizumi Tomonobu, Shetty Vivek, Yamaguchi Masaki
1 Shinshu University School of Medicine, Department of Comprehensive Cancer Therapy, Asahi, Matsumoto, Nagano, Japan.
2 UCLA, Section of Oral & Maxillofacial Surgery, UCLA Health Sciences Center, Los Angeles, CA, USA.
J Int Med Res. 2018 Sep;46(9):3570-3582. doi: 10.1177/0300060518775563. Epub 2018 Jun 19.
Objective To develop a combinatorial panel of salivary cytokines that manifests the presence of non-small cell lung cancer (NSCLC) that will eventually improve prognosis by facilitating the early diagnosis and management of this common cancer. Methods We performed a case-control study comparing salivary cytokine profiles of 35 adult subjects with NSCLC with those of 35 matched, healthy nonsmokers. Multiplex bead array assays were used to quantify 27 cytokines in saliva, serum, and oral mucosal transudate samples. Logistic regression analysis was used to develop an informative cytokine panel. Receiver operating characteristic (ROC) curves were generated to evaluate the discriminant ability of the panel. Results A combinatorial 12-cytokine panel (interleukin receptor antagonist [IL1RN], IL1B, IL6, IL7, IL8, IL10, C-C motif chemokine ligand 11 [CCL11], tumor necrosis factor, C-X-C motif chemokine ligand 10 [CXCL10], C-C motif chemokine ligand 3, C-C motif chemokine ligand 4, and platelet-derived growth factor-BB) distinguished patients with NSCLC from healthy controls. Further, ROC analysis revealed that a cytokine panel comprising IL10 (odds ratio, 1.156) and CXCL10 (odds ratio, 1.000) discriminated NSCLC with a sensitivity of 60.6% and specificity of 80.8% (area under the ROC curve, 0.701). Conclusion A combinatorial panel of select salivary cytokines indicates the presence of NSCLC.
目的 开发一组唾液细胞因子组合，以显示非小细胞肺癌（NSCLC）的存在，最终通过促进这种常见癌症的早期诊断和管理来改善预后。方法 我们进行了一项病例对照研究，比较了35名成年NSCLC患者与35名匹配的健康非吸烟者的唾液细胞因子谱。采用多重微珠阵列分析法定量检测唾液、血清和口腔黏膜渗出液样本中的27种细胞因子。使用逻辑回归分析来建立一个信息丰富的细胞因子组合。生成受试者工作特征（ROC）曲线以评估该组合的判别能力。结果 一个由12种细胞因子组成的组合（白细胞介素受体拮抗剂[IL1RN]、IL1B、IL6、IL7、IL8、IL10、C-C基序趋化因子配体11[CCL11]、肿瘤坏死因子、C-X-C基序趋化因子配体10[CXCL10]、C-C基序趋化因子配体3、C-C基序趋化因子配体4和血小板衍生生长因子-BB）可区分NSCLC患者与健康对照。此外，ROC分析显示，由IL10（比值比，1.156）和CXCL10（比值比，1.000）组成的细胞因子组合对NSCLC的判别灵敏度为60.6%，特异度为80.8%（ROC曲线下面积，0.701）。结论 一组选定的唾液细胞因子组合表明存在NSCLC。
