日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A personalized probabilistic approach to ovarian cancer diagnostics

卵巢癌诊断的个性化概率方法

Ban, Dongjo; Housley, Stephen N; Matyunina, Lilya V; McDonald, L DeEtte; Bae-Jump, Victoria L; Benigno, Benedict B; Skolnick, Jeffrey; McDonald, John F

A phase II randomized, double-blind trial of a polyvalent Vaccine-KLH conjugate (NSC 748933 IND# 14384) + OPT-821 versus OPT-821 in patients with epithelial ovarian, fallopian tube, or peritoneal cancer who are in second or third complete remission: An NRG Oncology/GOG study

一项针对处于第二次或第三次完全缓解期的上皮性卵巢癌、输卵管癌或腹膜癌患者的II期随机、双盲试验,比较多价疫苗-KLH偶联物(NSC 748933 IND# 14384)+ OPT-821与单用OPT-821的疗效:NRG Oncology/GOG研究

O'Cearbhaill, Roisin E; Deng, Wei; Chen, Lee-May; Lucci, Joseph A 3rd; Behbakht, Kian; Spirtos, Nick M; Muller, Carolyn Y; Benigno, Benedict B; Powell, Matthew A; Berry, Emily; Tewari, Krishnansu S; Hanjani, Parviz; Lankes, Heather A; Aghajanian, Carol; Sabbatini, Paul J

Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy

机器学习能够高精度地预测癌症患者对治疗药物的个体反应。

Huang, Cai; Clayton, Evan A; Matyunina, Lilya V; McDonald, L DeEtte; Benigno, Benedict B; Vannberg, Fredrik; McDonald, John F

Glycomic analysis of membrane glycoproteins with bisecting glycosylation from ovarian cancer tissues reveals novel structures and functions

对卵巢癌组织中具有二分糖基化的膜糖蛋白进行糖组学分析,揭示了其新的结构和功能。

Allam, Heba; Aoki, Kazuhiro; Benigno, Benedict B; McDonald, John F; Mackintosh, Samuel G; Tiemeyer, Michael; Abbott, Karen L

Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression

转录调控:一种对microRNA表达调控的间接响应的调控网络模型

Hill, Christopher G; Matyunina, Lilya V; Walker, Deette; Benigno, Benedict B; McDonald, John F

Molecular profiling supports the role of epithelial-to-mesenchymal transition (EMT) in ovarian cancer metastasis

分子谱分析支持上皮间质转化(EMT)在卵巢癌转移中的作用

Lili, Loukia N; Matyunina, Lilya V; Walker, L Deette; Wells, Stephen L; Benigno, Benedict B; McDonald, John F

Evidence for the complexity of microRNA-mediated regulation in ovarian cancer: a systems approach

卵巢癌中microRNA介导调控复杂性的证据:系统方法

Shahab, Shubin W; Matyunina, Lilya V; Mezencev, Roman; Walker, L DeEtte; Bowen, Nathan J; Benigno, Benedict B; McDonald, John F

Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines.

利用支持向量机从代谢组学液相色谱/质谱数据中检测卵巢癌

Guan Wei, Zhou Manshui, Hampton Christina Y, Benigno Benedict B, Walker L Deette, Gray Alexander, McDonald John F, Fernández Facundo M

Gene expression profiling supports the hypothesis that human ovarian surface epithelia are multipotent and capable of serving as ovarian cancer initiating cells

基因表达谱分析支持以下假设:人类卵巢表面上皮细胞具有多能性,能够作为卵巢癌的起始细胞。

Bowen, Nathan J; Walker, L DeEtte; Matyunina, Lilya V; Logani, Sanjay; Totten, Kimberly A; Benigno, Benedict B; McDonald, John F

Identification of candidate methylation-responsive genes in ovarian cancer

卵巢癌中候选甲基化反应基因的鉴定

Menendez, Laura; Walker, DeEtte; Matyunina, Lilya V; Dickerson, Erin B; Bowen, Nathan J; Polavarapu, Nalini; Benigno, Benedict B; McDonald, John F