引言癌症通过各种机制对身体的新陈代谢产生重大影响,促进代谢重编程,维持癌细胞的不受约束的生长和存活,因此扰乱不同的代谢参数。引入正电子发射断层扫描-计算机断层扫描(PET/CT),提供对代谢和形态学方面的详细见解,带来了现代癌症检测的革命性转变。探索PET-CT代谢特征与个体肝酶代谢参数之间的潜在联系可以揭示癌症诊断和预后的新途径。材料和方法本研究对我们机构的患者记录进行了回顾性分析,涵盖2021年1月至2023年9月期间,重点关注患有各种恶性肿瘤的个体。数据包括性别信息,年龄,临床病史,和肝脏血清参数,它们被编译成表格。此外,炎症指标,如ALT(丙氨酸转氨酶),碱性磷酸酶(ALP),总蛋白(TP),ALT/AST比值,收集和绘制SUVmax。该研究使用Pearson相关性分析来评估每个炎症变量与通过PET-CT确定的SUV(max)之间的关系。结果在乳腺癌中,通过回归分析确定的血清ALP水平与SUVmax之间存在统计学上显著的正相关(R2=0.0651).霍奇金淋巴瘤,另一方面,显示ALT与AST比值(ALT/AST)和SUVmax之间存在统计学显着的负相关(r=-0.45,R2=0.204)。在非霍奇金淋巴瘤患者中,总蛋白(TP)与SUVmax呈负相关(R2=-0.081,r=-0.28),而在肺癌患者中,与回归相关系数呈显著正相关(ALT/AST的R2=0.026、0.024、0.024和0.018,TP,ALP,白蛋白,ALT,分别)。结论与这些结果一致,这可能是最近的补充,承认肿瘤代谢参数(SUVmax)和肝血清酶水平显示出预测各种癌症患者预后的潜力。
Introduction Cancer exerts a substantial influence on the body\'s metabolism through varied mechanisms, instigating a metabolic reprogramming that maintains the unchecked growth and survival of cancer cells, consequently perturbing diverse metabolic parameters. The introduction of positron emission tomography-computed tomography (PET/CT), delivering detailed insights into both metabolic and morphological aspects, has brought about a revolutionary shift in modern cancer detection. Exploring the potential connection between PET-CT metabolic features and the metabolic parameters of liver enzymes in an individual can unveil novel avenues for cancer diagnosis and prognosis. Materials and methods This study conducted a retrospective analysis of patient records from our institution, covering the period from January 2021 to September 2023, focusing on individuals with various malignancies. The data included information on gender, age, clinical history, and liver serum parameters, which were compiled into tables. Additionally, inflammatory indicators such as ALT (alanine transaminase), ALP (alkaline phosphatase), total protein (TP), ALT/AST ratio, and SUVmax were collected and plotted. The study used Pearson correlation analysis to assess the relationship between each inflammatory variable and SUV (max) as determined by PET-CT. Results In breast cancer, there was a statistically significant positive correlation (R2=0.0651) between serum ALP levels and SUVmax as determined by regression analysis. Hodgkin
lymphoma, on the other hand, showed a statistically significant negative correlation between the ALT-to-AST ratio (ALT/AST) and SUVmax (r = -0.45, R2 = 0.204). In non-Hodgkin
lymphoma patients, total protein (TP) was negatively correlated with SUVmax (R2=-0.081, r= -0.28), while in lung cancer patients, there was a significant positive correlation with regression correlation coefficients (R2 = 0.026, 0.024, 0.024, and 0.018 for ALT/AST, TP, ALP, albumin, and ALT, respectively). Conclusion Aligning with these results, it can be a recent addition to acknowledge that both the tumor metabolic parameter (SUVmax) and the levels of liver serum enzymes exhibit a potential for predicting patient prognosis in various cancers.