A combined score of clinical factors and serum proteins can predict time to recurrence in high grade serous ovarian cancer.
A combined score of clinical factors and serum proteins can predict time to recurrence in high grade serous ovarian cancer.
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DOI：
10.1016/j.ygyno.2018.12.015
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发表时间：
2019-03
影响因子：
4.7
通讯作者：
She, Jin-Xiong
中科院分区：
文献类型：
--
作者：
Mysona, David;Pyrzak, Adam;Purohit, Sharad;Zhi, Wenbo;Sharma, Ashok;Tran, Lynn;Tran, Paul;Bai, Shan;Rungruang, Bunja;Ghamande, Sharad;She, Jin-Xiong
卵巢癌是最致命的肿瘤之一，每年有22，000例新发病例和14，000例死亡。积极的细胞减灭术和化疗有效率高达80%。大多数妇女被诊断为3期或更晚的疾病，超过70%的妇女在18个月内复发。需要一种测试来确定缓解患者的预后，以允许干预和延长生存期。奥古斯塔大学的卵巢癌患者在2005年至2015年期间入组（n=71）。在入组和随访访视时抽血。使用SOMAscan阵列（n=35）分析缓解时收集的患者血清，以测量1129种蛋白质的浓度。最好的26种蛋白质在相同的35名患者和另外36名患者（ntotal=71）中使用Luminex测定法确认作为正交验证。使用弹性网络多变量模型将来自这些蛋白质的数据与临床因素组合，以找到预测无进展生存期（PFS）的优化组合。脑源性神经营养因子和血小板源性生长因子分子在单变量和多变量分析中对预测PFS具有显著性。使用弹性网络算法将26种蛋白质与临床因素组合。确定了10个组分来预测PFS（HR为6.55，p值为1.12 × 10−6，CI为2.57 - 16.71）。该模型被命名为浆液性高级别卵巢癌（SHOC）评分。SHOC评分可以预测缓解期患者的预后，并有望为注定复发的缓解期患者提供早期干预和巩固治疗策略。
Ovarian cancer is one of the most lethal neoplasms with 22,000 new cases and 14,000 deaths per year. Aggressive cytoreduction and chemotherapy have response rates as high as 80%. Most women are diagnosed with stage 3 disease or later and over 70% of women recur within 18 months. There is need for a test to determine prognosis of remission patients to allow for intervention and prolonged survival. Women at Augusta University with ovarian cancer were enrolled between 2005 and 2015 (n=71). Blood was drawn at enrollment and follow-up visits. Patient serum collected at remission was analyzed using the SOMAscan array (n=35) to measure concentrations of 1129 proteins. The best 26 proteins were confirmed using Luminex assays in the same 35 patients and an additional 36 patients (ntotal=71) as orthogonal validation. The data from these proteins was combined with clinical factors using an elastic net multivariate model to find an optimized combination predictive of progression-free survival (PFS). Brain Derived Neurotrophic Factor and Platelet Derived Growth Factor molecules were significant for predicting PFS on univariate and multivariate analyses. The 26 proteins were combined with clinical factors using the elastic net algorithm. Ten components were determined to predict PFS (HR of 6.55, p-value 1.12 × 10−6, CI 2.57 – 16.71). This model was named the Serous High Grade Ovarian Cancer (SHOC) Score. The SHOC score can predict patient prognosis in remission and will hopefully lead to early intervention and consolidation therapy strategies in remission patients destined to recur.
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DOI：
10.1097/igc.0b013e3182070f17
发表时间：
2011-02-01
影响因子：
4.8
作者：
Rustin, Gordon John Sampson;Vergote, Ignace;Vermorken, Jan
通讯作者：
Vermorken, Jan
影响因子：
8.4
作者：
Eisenhauer, E. A.;Therasse, P.;Verweij, J.
通讯作者：
Verweij, J.
影响因子：
15.3
作者：
Kerschensteiner, M;Gallmeier, E;Behrens, L;Leal, V V;Misgeld, T;Klinkert, W E;Kolbeck, R;Hoppe, E;Oropeza-Wekerle, R L;Bartke, I;Stadelmann, C;Lassmann, H;Wekerle, H;Hohlfeld, R
通讯作者：
Hohlfeld, R
影响因子：
45.3
作者：
Dupont, J;Tanwar, MK;Spriggs, DR
通讯作者：
Spriggs, DR
影响因子：
64.5
作者：
Cao L;Liu X;Lin EJ;Wang C;Choi EY;Riban V;Lin B;During MJ
通讯作者：
During MJ