Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, China.
Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.
Int J Cancer. 2022 Jul 15;151(2):297-307. doi: 10.1002/ijc.34012. Epub 2022 Apr 13.
A single CRP measurement is insufficient to examine the association of long-term patterns of CRP concentration with cancer risk. We prospectively examined the relationship between CRP trajectory patterns and new-onset cancers among 52 276 participants. Latent mixture modeling was used to identify CRP trajectories. Cox proportional hazards regression models were used to evaluate the association between CRP trajectory patterns and the risk of overall and specific-site cancer. Four CRP trajectories patterns were identified: low-stable pattern (n = 43 258), moderate-increasing pattern (n = 2591), increasing-decreasing pattern (n = 2068) and elevated-decreasing pattern (n = 4359). Relative to the low-stable pattern, the moderate-increasing trajectory pattern was associated with an elevated risk of overall, lung, breast, leukemia, bladder, stomach, colorectal, liver, gallbladder or extrahepatic bile duct cancer and leukemia. Participants in the increasing-decreasing trajectory pattern were associated with an elevated risk of overall, lung, breast, bladder, pancreatic and liver cancer. The increasing-decreasing trajectory pattern was also associated with decreased risk of colorectal cancer in the multivariate analyses. Elevated-decreasing trajectory pattern was associated with increased risk of leukemia and decreased risk of esophageal and colorectal cancer. CRP trajectories play an important role in the occurrence of cancers, especially in the lung, breast, bladder, stomach, colorectal, liver, gallbladder and extrahepatic bile duct cancer and leukemia.
单次 CRP 测量不足以检查 CRP 浓度的长期变化模式与癌症风险之间的关联。我们前瞻性地检查了 52276 名参与者中 CRP 轨迹模式与新发癌症之间的关系。潜在混合模型用于识别 CRP 轨迹。Cox 比例风险回归模型用于评估 CRP 轨迹模式与总体和特定部位癌症风险之间的关系。确定了四种 CRP 轨迹模式:低稳定模式(n=43258)、中度升高模式(n=2591)、升高-降低模式(n=2068)和升高-降低模式(n=4359)。与低稳定模式相比,中度升高轨迹模式与总体、肺癌、乳腺癌、白血病、膀胱癌、胃癌、结直肠癌、肝癌、胆囊或肝外胆管癌和白血病的风险升高相关。升高-降低轨迹模式与总体、肺癌、乳腺癌、膀胱癌、胰腺癌和肝癌的风险升高相关。在多变量分析中,升高-降低轨迹模式也与结直肠癌风险降低相关。升高-降低轨迹模式与白血病风险增加和食管癌、结直肠癌风险降低相关。CRP 轨迹在癌症的发生中起着重要作用,尤其是在肺癌、乳腺癌、膀胱癌、胃癌、结直肠癌、肝癌、胆囊和肝外胆管癌以及白血病中。