Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 77Changan South Road, Zhangjiagang, 215600, Jiangsu Province, China.
J Ovarian Res. 2022 Feb 16;15(1):26. doi: 10.1186/s13048-022-00958-6.
Ovarian mucinous carcinoma is a disease that requires unique treatment. But for a long time, guidelines for ovarian serous carcinoma have been used for the treatment of ovarian mucinous carcinoma. This study aimed to construct and validate nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) in patients with ovarian mucinous adenocarcinoma.
In this study, patients initially diagnosed with ovarian mucinous adenocarcinoma from 2004 to 2015 were screened from the Surveillance, Epidemiology, and End Results (SEER) database, and divided into the training group and the validation group at a ratio of 7:3. Independent risk factors for OS and CSS were determined by multivariate Cox regression analysis, and nomograms were constructed and validated.
In this study, 1309 patients with ovarian mucinous adenocarcinoma were finally screened and randomly divided into 917 cases in the training group and 392 cases in the validation group according to a 7:3 ratio. Multivariate Cox regression analysis showed that the independent risk factors of OS were age, race, T_stage, N_stage, M_stage, grade, CA125, and chemotherapy. Independent risk factors of CSS were age, race, marital, T_stage, N_stage, M_stage, grade, CA125, and chemotherapy. According to the above results, the nomograms of OS and CSS in ovarian mucinous adenocarcinoma were constructed. In the training group, the C-index of the OS nomogram was 0.845 (95% CI: 0.821-0.869) and the C-index of the CSS nomogram was 0.862 (95%CI: 0.838-0.886). In the validation group, the C-index of the OS nomogram was 0.843 (95% CI: 0.810-0.876) and the C-index of the CSS nomogram was 0.841 (95%CI: 0.806-0.876). The calibration curve showed the consistency between the predicted results and the actual results, indicating the high accuracy of the nomogram.
The nomogram provides 3-year and 5-year OS and CSS predictions for patients with ovarian mucinous adenocarcinoma, which helps clinicians predict the prognosis of patients and formulate appropriate treatment plans.
卵巢黏液性癌是一种需要特殊治疗的疾病。但长期以来，卵巢浆液性癌的治疗指南一直被用于治疗卵巢黏液性癌。本研究旨在构建和验证预测卵巢黏液性腺癌患者总生存（OS）和癌症特异性生存（CSS）的列线图。
本研究从监测、流行病学和最终结果（SEER）数据库中筛选出 2004 年至 2015 年期间初诊为卵巢黏液性腺癌的患者，并按 7:3 的比例分为训练组和验证组。通过多因素 Cox 回归分析确定 OS 和 CSS 的独立危险因素，并构建和验证列线图。
本研究最终筛选出 1309 例卵巢黏液性腺癌患者，按 7:3 的比例随机分为训练组 917 例和验证组 392 例。多因素 Cox 回归分析显示，OS 的独立危险因素为年龄、种族、T 分期、N 分期、M 分期、分级、CA125 和化疗。CSS 的独立危险因素为年龄、种族、婚姻状况、T 分期、N 分期、M 分期、分级、CA125 和化疗。根据上述结果，构建了卵巢黏液性腺癌的 OS 和 CSS 列线图。在训练组中，OS 列线图的 C 指数为 0.845（95%CI：0.821-0.869），CSS 列线图的 C 指数为 0.862（95%CI：0.838-0.886）。在验证组中，OS 列线图的 C 指数为 0.843（95%CI：0.810-0.876），CSS 列线图的 C 指数为 0.841（95%CI：0.806-0.876）。校准曲线显示预测结果与实际结果之间的一致性，表明列线图具有较高的准确性。
该列线图为卵巢黏液性腺癌患者提供了 3 年和 5 年的 OS 和 CSS 预测，有助于临床医生预测患者的预后并制定合适的治疗计划。
