Lu Ziyang, Lin Fanghe, Li Tao, Wang Jinhui, Liu Cenxi, Lu Guangxing, Li Bin, Pan MingPei, Fan Shaohua, Yue Junqiu, Huang He, Song Jia, Gu Chao, Li Jin
State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Institute of Metabolism and Integrative Biology, Obstetrics and Gynecology Hospital of Fudan University, Fudan University, Shanghai 200438, China.
State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, Key Laboratory of Analytical Chemistry, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
EClinicalMedicine. 2022 Apr 8;46:101377. doi: 10.1016/j.eclinm.2022.101377. eCollection 2022 Apr.
Serous borderline ovarian tumour (SBOT) is the most common type of BOT. Fertility sparing surgery (FSS) is an option for patients with SBOT, though it may increase the risk of recurrence. The clinical and molecular features of its recurrence are important and need to be investigated in detail.
An internal cohort of 319 patients with SBOT was collected from Aug 1, 2009 to July 31, 2019 from the Obstetrics and Gynecology Hospital of Fudan University in China. An external cohort of 100 patients with SBOT was collected from Aug 1, 2009 to Nov 30, 2019 from the Shandong Provincial Hospital in China. The risk factors for the recurrence were identified by multivariate cox analysis. Several computational methods were tested to establish a prediction tool for recurrence. Whole genome sequencing, RNA-seq, metabolomics and lipidomics were used to understand the molecular characteristics of the recurrence of SBOT.
Five factors were significantly correlated with SBOT recurrence in a Han population: micropapillary pattern, advanced stage, FSS, microinvasion, and lymph node invasion. A random forest-based online recurrence prediction tool was established and validated using an internal cohort and an independent external cohort for patients with SBOT. The multi-omics analysis on the original SBOT samples revealed that recurrence is related to metabolic regulation of immunological suppression.
Our study identified several important clinical and molecular features of recurrent SBOT. The prediction tool we established could help physicians to estimate the prognosis of patients with SBOT. These findings will contribute to the development of personalised and targeted therapies to improve prognosis.
JL was funded by MOST 2020YFA0803600, 2018YFA0801300, NSFC 32071138, and SKLGE-2118 to Jin Li; JY was funded by the Initial Project for Young and Middle-aged Medical Talents of Wuhan City, Hubei Province ([2014] 41); HH was funded by MOST 2019YFA0801900 and 2020YF1402600 to He Huang; JS was funded by NSFC 22,104,080; CG was funded by Natural Science Foundation of Shanghai 20ZR1408800 and NSFC82171633; BL was funded by Natural Science Foundation of Shanghai 19ZR1406800.
浆液性交界性卵巢肿瘤（SBOT）是最常见的交界性卵巢肿瘤类型。保留生育功能手术（FSS）是SBOT患者的一种选择，尽管它可能会增加复发风险。其复发的临床和分子特征很重要，需要详细研究。
从2009年8月1日至2019年7月31日在中国复旦大学附属妇产科医院收集了319例SBOT患者的内部队列。从2009年8月1日至2019年11月30日在中国山东省立医院收集了100例SBOT患者的外部队列。通过多变量cox分析确定复发的危险因素。测试了几种计算方法以建立复发预测工具。使用全基因组测序、RNA测序、代谢组学和脂质组学来了解SBOT复发的分子特征。
在汉族人群中，有五个因素与SBOT复发显著相关：微乳头模式、晚期、FSS、微浸润和淋巴结浸润。建立了基于随机森林的在线复发预测工具，并使用SBOT患者的内部队列和独立外部队列进行了验证。对原始SBOT样本的多组学分析表明，复发与免疫抑制的代谢调节有关。
我们的研究确定了复发性SBOT的几个重要临床和分子特征。我们建立的预测工具可以帮助医生评估SBOT患者的预后。这些发现将有助于开发个性化和靶向治疗方法以改善预后。
李津获得了国家重点研发计划2020YFA0803600、2018YFA0801300，国家自然科学基金32071138，以及上海交通大学医学院附属瑞金医院医学基因组学国家重点实验室开放课题SKLGE - 2118资助；姜颖获得了湖北省武汉市中青年医学骨干人才培养计划（[2014]41）资助；何黄获得了国家重点研发计划2019YFA0801900和2020YF1402600资助；贾爽获得了国家自然科学基金22104080资助；陈功获得了上海市自然科学基金20ZR1408800和国家自然科学基金82171633资助；柏凌获得了上海市自然科学基金19ZR1406800资助。
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