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

Deep learning-based assessment of PD-L1 expression in NSCLC predicts outcome for patients treated with anti-PD-1 immunotherapy

基于深度学习的非小细胞肺癌PD-L1表达评估可预测接受抗PD-1免疫疗法治疗患者的预后

Peroz, Morgane; Roussot, Nicolas; Ilie, Alis; Rageot, David; Derangere, Valentin; Truntzer, Caroline; Ghiringhelli, François

Co-targeting TGF-β and PD-L1 sensitizes triple-negative breast cancer to experimental immunogenic cisplatin-eribulin chemotherapy doublet.

共同靶向 TGF-β 和 PD-L1 可使三阴性乳腺癌对实验性免疫原性顺铂-艾立布林双药化疗敏感

Kalfeist Laura, Ledys Fanny, Petit Stacy, Poirrier Cyriane, Kada Mohammed Samia, Galland Loïck, Derangère Valentin, Ilie Alis, Rageot David, Aucagne Romain, Bellaye Pierre-Simon, Truntzer Caroline, Thibaudin Marion, Rialland Mickaël, Ghiringhelli François, Limagne Emeric, Ladoire Sylvain

Machine learning evaluation of immune infiltrate through digital tumour score allows prediction of survival outcome in a pooled analysis of three international stage III colon cancer cohorts

通过数字肿瘤评分对免疫浸润进行机器学习评估,可以预测三个国际 III 期结肠癌队列的汇总分析中的生存结果。

Lecuelle, Julie; Truntzer, Caroline; Basile, Debora; Laghi, Luigi; Greco, Luana; Ilie, Alis; Rageot, David; Emile, Jean-François; Bibeau, Fréderic; Taïeb, Julien; Derangere, Valentin; Lepage, Come; Ghiringhelli, François

CD3-CD8 immune score associated with a clinical score stratifies PDAC prognosis regardless of adjuvant or neoadjuvant chemotherapy

CD3-CD8免疫评分与临床评分相结合,可对PDAC预后进行分层,而与辅助或新辅助化疗无关。

Schoumacher, Coralie; Derangère, Valentin; Gaudillière-Le Dain, Gwladys; Huppe, Titouan; Rageot, David; Ilie, Alis; Vienot, Angélique; Borg, Christophe; Monnien, Franck; Bibeau, Frederic; Truntzer, Caroline; Ghiringhelli, François

Deep Multiple Instance Learning Model to Predict Outcome of Pancreatic Cancer Following Surgery

深度多示例学习模型预测胰腺癌术后预后

Truntzer, Caroline; Ouahbi, Dina; Huppé, Titouan; Rageot, David; Ilie, Alis; Molimard, Chloe; Beltjens, Françoise; Bergeron, Anthony; Vienot, Angelique; Borg, Christophe; Monnien, Franck; Bibeau, Frédéric; Derangère, Valentin; Ghiringhelli, François

Immunoscore immune checkpoint using spatial quantitative analysis of CD8 and PD-L1 markers is predictive of the efficacy of anti- PD1/PD-L1 immunotherapy in non-small cell lung cancer

利用CD8和PD-L1标志物的空间定量分析进行免疫检查点评分的免疫评分可预测抗PD-1/PD-L1免疫疗法在非小细胞肺癌中的疗效。

Ghiringhelli, François; Bibeau, Frederic; Greillier, Laurent; Fumet, Jean-David; Ilie, Alis; Monville, Florence; Laugé, Caroline; Catteau, Aurélie; Boquet, Isabelle; Majdi, Amine; Morgand, Erwan; Oulkhouir, Youssef; Brandone, Nicolas; Adam, Julien; Sbarrato, Thomas; Kassambara, Alboukadel; Fieschi, Jacques; Garcia, Stéphane; Lepage, Anne Laure; Tomasini, Pascale; Galon, Jérôme

PIK3CA and PIK3R1 tumor mutational landscape in a pan-cancer patient cohort and its association with pathway activation and treatment efficacy

PIK3CA 和 PIK3R1 肿瘤突变图谱在泛癌患者队列中的分布及其与通路激活和治疗效果的关系

Tharin, Zoé; Richard, Corentin; Derangère, Valentin; Ilie, Alis; Arnould, Laurent; Ghiringhelli, François; Boidot, Romain; Ladoire, Sylvain

Pathologic and immunohistochemical prognostic markers in residual triple-negative breast cancer after neoadjuvant chemotherapy

新辅助化疗后残留三阴性乳腺癌的病理学和免疫组织化学预后标志物

Ilie, Silvia Mihaela; Briot, Nathalie; Constatin, Guillaume; Ilie, Alis; Beltjens, Francoise; Ladoire, Sylvain; Desmoulins, Isabelle; Hennequin, Audrey; Bertaut, Aurelie; Coutant, Charles; Causeret, Sylvain; Ghozali, Niama; Coudert, Bruno; Arnould, Laurent

Pathologic complete response and survival in HER2-low and HER2-zero early breast cancer treated with neoadjuvant chemotherapy

新辅助化疗治疗HER2低表达和HER2零表达早期乳腺癌的病理完全缓解率和生存率

Ilie, Silvia Mihaela; Briot, Nathalie; Constantin, Guillaume; Roussot, Nicolas; Ilie, Alis; Bergeron, Anthony; Arnould, Laurent; Beltjens, Françoise; Desmoulin, Isabelle; Mayeur, Didier; Kaderbhai, Courèche; Hennequin, Audrey; Jankowski, Clémentine; Padeano, Marie Martine; Costaz, Helène; Amet, Alix; Coutant, Charles; Coudert, Bruno; Bertaut, Aurélie; Ladoire, Sylvain

Using a convolutional neural network for classification of squamous and non-squamous non-small cell lung cancer based on diagnostic histopathology HES images

基于诊断组织病理学HES图像,利用卷积神经网络对鳞状和非鳞状非小细胞肺癌进行分类。

Le Page, Anne Laure; Ballot, Elise; Truntzer, Caroline; Derangère, Valentin; Ilie, Alis; Rageot, David; Bibeau, Frederic; Ghiringhelli, Francois