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2018FIGO 期 IB-IIA 期 HPV 阳性宫颈癌患者中,预处理 C 反应蛋白/白蛋白比值与生存不良相关。

Pretreatment C-Reactive Protein/Albumin Ratio is Associated With Poor Survival in Patients With 2018 FIGO Stage IB-IIA HPV-Positive Cervical Cancer.

机构信息

Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.

出版信息

Pathol Oncol Res. 2021 Dec 21;27:1609946. doi: 10.3389/pore.2021.1609946. eCollection 2021.

Abstract

The present study aimed to identify the predictive value of inflammatory indexes stratified according to human papillomavirus (HPV) infection status in women with FIGO 2018 stage IB∼IIA cervical cancer. We also explored the influences of HPV infection status on the survival of cervical cancer patients. We collected data for 583 women with stage IB∼IIA cervical cancer in Sun Yat-sen University Cancer Center between 2009 and 2017. The -test, chi-squared (χ) test and Fisher's exact test were applied to compare the differences of inflammatory indexes and clinicopathological features between HPV-positive and HPV-negative groups. Univariate and multivariate analyses were used to identify clinicopathological factors that were associated with the prognosis of cervical cancer patients. There were no differences in overall survival (OS) and progression-free survival (PFS) between HPV-positive and HPV-negative groups. In HPV-positive group, the maximum tumor size, neoadjuvant chemotherapy and the body mass index (BMI) correlated significantly with C-reactive protein/albumin ratio (CAR). The maximum tumor size and the prognostic nutritional index (PNI) correlated significantly with the platelet-lymphocyte ratio (PLR). The maximum tumor size, neoadjuvant chemotherapy and PLR correlated significantly with PNI. Univariate and multivariate analyses showed that the depth of tumor invasion (HR: 3.651, 95% CI: 1.464-9.103, = 0.005; HR: 2.478, 95% CI: 1.218-5.043, = 0.012) and CAR (HR: 5.201, 95% CI: 2.080-13.004, < 0.0001; HR: 2.769, 95% CI: 1.406-5.455, = 0.003) were independent predictors of poor OS and PFS. PNI was an independent protective factor of OS (HR: 0.341, 95% CI: 0.156-0.745, = 0.007). PLR was an independent factor of PFS (HR: 1.991, 95% CI: 1.018-3.894, = 0.044). In HPV-negative group, BMI correlated significantly with CAR. Only depth of invasion (HR: 9.192, 95% CI: 1.016-83.173, = 0.048) was the independent predictor of poor OS, and no inflammation indexes were independent predictors of prognosis. In patients with HPV-positive cervical cancer, depth of invasion, PNI and CAR are independent factors of OS, and depth of invasion, PLR and CAR are independent factors for PFS. For patients with HPV-negative disease, no inflammation indexes had predictive value for prognosis. The predictive value of inflammation indexes on prognosis is more significant in patients with HPV-positive cervical cancer. Stratification of HPV infection status promotes a more precise clinical application of inflammation indexes, thus improving their accuracy and feasibility.

摘要

本研究旨在探讨根据人乳头瘤病毒(HPV)感染状态分层的炎症指标对 FIGO 2018 分期 IB∼IIA 宫颈癌患者的预测价值。我们还探讨了 HPV 感染状态对宫颈癌患者生存的影响。

我们收集了 2009 年至 2017 年中山大学肿瘤防治中心 583 例 IB∼IIA 期宫颈癌患者的数据。采用 -检验、卡方(χ)检验和 Fisher 确切概率法比较 HPV 阳性和 HPV 阴性组炎症指标和临床病理特征的差异。采用单因素和多因素分析确定与宫颈癌患者预后相关的临床病理因素。

HPV 阳性和 HPV 阴性组的总生存(OS)和无进展生存(PFS)无差异。在 HPV 阳性组中,最大肿瘤直径、新辅助化疗和体质指数(BMI)与 C 反应蛋白/白蛋白比值(CAR)显著相关。最大肿瘤直径和预后营养指数(PNI)与血小板淋巴细胞比值(PLR)显著相关。最大肿瘤直径、新辅助化疗和 PLR 与 PNI 显著相关。单因素和多因素分析显示,肿瘤浸润深度(HR:3.651,95%CI:1.464-9.103, = 0.005;HR:2.478,95%CI:1.218-5.043, = 0.012)和 CAR(HR:5.201,95%CI:2.080-13.004,<0.0001;HR:2.769,95%CI:1.406-5.455, = 0.003)是 OS 和 PFS 的独立预后不良因素。PNI 是 OS 的独立保护因素(HR:0.341,95%CI:0.156-0.745, = 0.007)。PLR 是 PFS 的独立因素(HR:1.991,95%CI:1.018-3.894, = 0.044)。在 HPV 阴性组中,BMI 与 CAR 显著相关。仅肿瘤浸润深度(HR:9.192,95%CI:1.016-83.173, = 0.048)是 OS 的独立预后不良因素,无炎症指标是预后的独立预测因素。

在 HPV 阳性宫颈癌患者中,肿瘤浸润深度、PNI 和 CAR 是 OS 的独立因素,肿瘤浸润深度、PLR 和 CAR 是 PFS 的独立因素。对于 HPV 阴性疾病患者,无炎症指标对预后有预测价值。在 HPV 阳性宫颈癌患者中,炎症指标对预后的预测价值更为显著。HPV 感染状态的分层促进了炎症指标在临床中的更精确应用,从而提高了其准确性和可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3bf/8724028/0170680c179d/pore-27-1609946-g001.jpg

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