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

Multimodal tumor-agnostic ctDNA analysis for minimal residual disease detection and risk stratification in ovarian cancer: results from the MITO16a/MaNGO-OV2 trial

多模式肿瘤非特异性ctDNA分析用于卵巢癌微小残留病灶检测和风险分层:MITO16a/MaNGO-OV2试验结果

Paracchini, L; Velle, A; Di Gennaro, P; Mannarino, L; Ancona, L; Lorusso, D; Cecere, S C; Colombo, N; Beltrame, L; Fagotti, A; Tasca, G; Piemontese, M; Arenare, L; Califano, D; Galdiero, F; Zadro, R; Chiodini, P; Perrone, F; Biagioli, E; D'Incalci, M; Romualdi, C; Pignata, S; Marchini, S

HR-SC-an academic-developed machine learning framework to classify HRD-positive ovarian cancer patients and predict sensitivity to olaparib

HR-SC 是一个学术界开发的机器学习框架,用于对 HRD 阳性卵巢癌患者进行分类并预测其对奥拉帕尼的敏感性。

Beltrame, L; Mannarino, L; Sergi, A; Velle, A; Treilleux, I; Pignata, S; Paracchini, L; Harter, P; Scambia, G; Perrone, F; González-Martin, A; Berger, R; Arenare, L; Hietanen, S; Califano, D; Derio, S; Van Gorp, T; Dalessandro, M L; Fujiwara, K; Provansal, M; Lorusso, D; Buderath, P; Masseroli, M; Ray-Coquard, I; Pujade-Lauraine, E; Romualdi, C; D'Incalci, M; Marchini, S

Unraveling the complexity of HRD assessment in ovarian cancer by combining genomic and functional approaches: translational analyses of MITO16-MaNGO-OV-2 trial

结合基因组学和功能性方法揭示卵巢癌 HRD 评估的复杂性:MITO16-MaNGO-OV-2 试验的转化分析

B Pellegrino, E D Capoluongo, M Bagnoli, L Arenare, D Califano, G Scambia, S C Cecere, E M Silini, G L Scaglione, A Spina, G Tognon, N Campanini, C Pisano, D Russo, A Pettinato, P Scollo, R Iemmolo, L De Cecco, A Musolino, S Marchini, L Beltrame, L Paracchini, F Perrone, D Mezzanzanica, S Pignata6

Alternative academic approaches for testing homologous recombination deficiency in ovarian cancer in the MITO16A/MaNGO-OV2 trial

MITO16A/MaNGO-OV2 试验中检测卵巢癌同源重组缺陷的替代学术方法

Capoluongo, E D; Pellegrino, B; Arenare, L; Califano, D; Scambia, G; Beltrame, L; Serra, V; Scaglione, G L; Spina, A; Cecere, S C; De Cecio, R; Normanno, N; Colombo, N; Lorusso, D; Russo, D; Nardelli, C; D'Incalci, M; Llop-Guevara, A; Pisano, C; Baldassarre, G; Mezzanzanica, D; Artioli, G; Setaro, M; Tasca, G; Roma, C; Campanini, N; Cinieri, S; Sergi, A; Musolino, A; Perrone, F; Chiodini, P; Marchini, S; Pignata, S

A systems biology approach to investigate the mechanism of action of trabectedin in a model of myelomonocytic leukemia

采用系统生物学方法研究曲贝替定在骨髓单核细胞白血病模型中的作用机制

Mannarino, L; Paracchini, L; Craparotta, I; Romano, M; Marchini, S; Gatta, R; Erba, E; Clivio, L; Romualdi, C; D'Incalci, M; Beltrame, L; Pattini, L

Mechanism of action of trabectedin in desmoplastic small round cell tumor cells.

曲贝替定在促纤维增生性小圆细胞肿瘤细胞中的作用机制

Uboldi S, Craparotta I, Colella G, Ronchetti E, Beltrame L, Vicario S, Marchini S, Panini N, Dagrada G, Bozzi F, Pilotti S, Galmarini C M, D'Incalci M, Gatta R

Algorithm for automatic genotype calling of single nucleotide polymorphisms using the full course of TaqMan real-time data

利用TaqMan实时数据全过程自动进行单核苷酸多态性基因型分型的算法

Callegaro, A; Spinelli, R; Beltrame, L; Bicciato, S; Caristina, L; Censuales, S; De Bellis, G; Battaglia, C