Peng Zhouyangfan, Tan Xiqing, Xi Yang, Chen Zi, Li Yapei
Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Department of General Practice, The Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Heliyon. 2024 May 15;10(10):e31399. doi: 10.1016/j.heliyon.2024.e31399. eCollection 2024 May 30.
Lung cancer is the leading cause to induce cancer-related mortality. Effective biomarkers for prediction the occurrence of lung cancer is urgently needed. Our previous studies indicated that pyroptosis-related cytokines TNF-α, IFN-γ, MIP-1α, MIP-1β, MIP-2 and IP-10 is important to influence the efficacy of chemotherapy drug in lung cancer tissues. But the role of pyroptosis-related cytokines in prediction the occurrence of lung cancer is still unknown.
Blood samples were collected from 258 lung cancer patients at different stage and 80 healthy volunteers. Serum levels of pyroptosis-related cytokines including TNF-α, IFN-γ, MIP-1α, MIP-1β, MIP-2 and IP-10 were measured by Cytometric Bead Array (CBA). ROC curve was performed to evaluate the cut-off value and diagnosis value for prediction and diagnosis of lung cancer.
Compared with control group, the levels of IP-10, MIP-1α, MIP-1β, MIP-2 and TNF-α were significantly higher in lung cancer patients (45.5 (37.1-56.7): 57.2 (43.0-76.5), 34.4 (21.8-75.2): 115.4 (96.6-191.2), 49.3 (25.6-78.7): 160.5 (124.9-218.6), 22.6 (17.8-31.2): 77.9 (50.1-186.5), 3.80 (2.3-6.2): 10.3 (5.7-16.6)), but the level of IFN-γ was decreased in the patients (12.38 (9.1-27.8): 5.9 (3.5-9.7)). All the above cytokines were significantly associated with the diagnosis of lung cancer, and the AUC values of IFN-γ, IP-10, MIP-1α, MIP-1β, MIP-2, and TNF-α were 0.800, 0.656, 0.905, 0.921, 0.914, and 0.824. And the AUC can rise to 0.986 after combining the above factors, and the sensitivity and specificity also up to 96.7 % and 93.7 %, respectively. Additionally, TNF-α (r = 0.400, P < 0.01), MIP-2 (r = 0.343, P < 0.01), MIP-1α (r = 0.551, P < 0.01) and MIP-1β (r = 0.403, p < 0.01) were positively associated with occurrence of lung cancer, but IFN-γ (r = -0.483, p < 0.01) was negatively associated with occurrence of lung cancer. As far as the potential of early diagnosis of lung cancer, TNF-α (AUC = 0.577), MIP-1α (AUC = 0.804) and MIP-1β (AUC = 0.791) can predict the early stage of lung cancer, and combination of the above three cytokines has a better predictive efficiency (AUC = 0.854).
Our study establishes a link between the levels of IP-10, MIP-1α, MIP-1β, MIP-2, TNF-α and IFN-γ and diagnosis of lung cancer. Besides, we observed a synergistic effect of these five pyroptosis-related cytokines in diagnosing lung cancer patient, suggesting their potential as biomarkers for lung cancer diagnosis. Moreover, the combination of TNF-α, MIP-1α and MIP-1β are also potential predictors for the early diagnosis of lung cancer.
肺癌是导致癌症相关死亡的主要原因。迫切需要有效的生物标志物来预测肺癌的发生。我们之前的研究表明,细胞焦亡相关细胞因子肿瘤坏死因子-α(TNF-α)、干扰素-γ(IFN-γ)、巨噬细胞炎性蛋白-1α(MIP-1α)、巨噬细胞炎性蛋白-1β(MIP-1β)、巨噬细胞炎性蛋白-2(MIP-2)和干扰素诱导蛋白10(IP-10)对影响肺癌组织中化疗药物的疗效很重要。但细胞焦亡相关细胞因子在预测肺癌发生中的作用仍不清楚。
收集258例不同分期肺癌患者和80名健康志愿者的血样。采用细胞计数珠阵列(CBA)检测血清中TNF-α、IFN-γ、MIP-1α、MIP-1β、MIP-2和IP-10等细胞焦亡相关细胞因子的水平。绘制ROC曲线以评估预测和诊断肺癌的临界值及诊断价值。
与对照组相比,肺癌患者中IP-10、MIP-1α、MIP-1β、MIP-2和TNF-α的水平显著升高(45.5(37.1 - 56.7):57.2(43.0 - 76.5),34.4(21.8 - 75.2):115.4(96.6 - 191.2),49.3(25.6 - 78.7):160.5(124.9 - 218.6),22.6(17.8 - 31.2):77.9(50.1 - 186.5),3.80(2.3 - 6.2):10.3(5.7 - 16.6)),但患者中IFN-γ水平降低(12.38(9.1 - 27.8):5.9(3.5 - 9.7))。上述所有细胞因子均与肺癌诊断显著相关,IFN-γ、IP-10、MIP-1α、MIP-1β、MIP-2和TNF-α的AUC值分别为0.800、0.656、0.905、0.921、0.914和0.824。将上述因素联合后,AUC可升至0.986,敏感性和特异性也分别高达96.7%和93.7%。此外,TNF-α(r = 0.400,P < 0.01)、MIP-2(r = 0.343,P < 0.01)、MIP-1α(r = 0.551,P < 0.01)和MIP-1β(r = 0.403,P < 0.01)与肺癌发生呈正相关,但IFN-γ(r = -0.483,P < 0.01)与肺癌发生呈负相关。就肺癌早期诊断潜力而言,TNF-α(AUC = 0.577)、MIP-1α(AUC = 0.804)和MIP-1β(AUC = 0.791)可预测肺癌早期,上述三种细胞因子联合具有更好的预测效率(AUC = 0.854)。
我们的研究建立了IP-10、MIP-1α、MIP-1β、MIP-2、TNF-α和IFN-γ水平与肺癌诊断之间的联系。此外,我们观察到这五种细胞焦亡相关细胞因子在诊断肺癌患者中具有协同作用,表明它们作为肺癌诊断生物标志物的潜力。而且,TNF-α、MIP-1α和MIP-1β的联合也是肺癌早期诊断的潜在预测指标。