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

Klebsiella pneumoniae LPS drives stromal-mediated repression of p53 and colorectal cancer chemoresistance

肺炎克雷伯菌脂多糖驱动基质介导的p53抑制和结直肠癌化疗耐药性

Fragkoulis, Konstantinos; Łasut-Szyszka, Barbara; Végvári, Ákos; Ayona, Diyoly; Saei, Amir Ata; Aschtgen, Marie-Stéphanie; Peuget, Sylvain

Enterobacteria impair host p53 tumor suppressor activity through mRNA destabilization

肠道细菌通过 mRNA 不稳定削弱宿主 p53 肿瘤抑制因子活性

Marie-Stéphanie Aschtgen, Konstantinos Fragkoulis, Gema Sanz, Staffan Normark, Galina Selivanova, Birgitta Henriques-Normark, Sylvain Peuget

Mutant p53 gain of function mediates cancer immune escape that is counteracted by APR-246

突变型 p53 获得功能介导癌症免疫逃逸,而 APR-246 可拮抗这种免疫逃逸。

Zhou, Xiaolei; Santos, Gema Sanz; Zhan, Yue; Oliveira, Mariana M S; Rezaei, Shiva; Singh, Madhurendra; Peuget, Sylvain; Westerberg, Lisa S; Johnsen, John Inge; Selivanova, Galina

Decreased DNA Damage and Improved p53 Specificity of RITA Analogs

RITA 类似物可减少 DNA 损伤并提高 p53 特异性

Yue Zhan, Xiaolei Zhou, Sylvain Peuget, Madhurendra Singh, Brian D Peyser, Zhimin Fan, Galina Selivanova

Identification and targeting of selective vulnerability rendered by tamoxifen resistance

识别和定位由他莫昔芬耐药性引起的选择性脆弱性

Madhurendra Singh, Xiaolei Zhou, Xinsong Chen, Gema Sanz Santos, Sylvain Peuget, Qing Cheng, Ali Rihani, Elias S J Arnér, Johan Hartman, Galina Selivanova

Pifithrin-α alters p53 post-translational modifications pattern and differentially inhibits p53 target genes

Pifithrin-α 改变 p53 翻译后修饰模式并以差异方式抑制 p53 靶基因

Jiawei Zhu, Madhurendra Singh, Galina Selivanova, Sylvain Peuget

RITA requires eIF2α-dependent modulation of mRNA translation for its anti-cancer activity

RITA 需要 eIF2α 依赖的 mRNA 翻译调节才能发挥其抗癌活性

Johannes Ristau, Vincent van Hoef, Sylvain Peuget, Jiawei Zhu, Bo-Jhih Guan, Shuo Liang, Maria Hatzoglou, Ivan Topisirovic, Galina Selivanova, Ola Larsson

Inhibition of p53 inhibitors: progress, challenges and perspectives

p53抑制剂的抑制:进展、挑战和展望

Sanz, Gema; Singh, Madhurendra; Peuget, Sylvain; Selivanova, Galina

Prediction of response to anti-cancer drugs becomes robust via network integration of molecular data

通过分子数据的网络整合,可以更可靠地预测抗癌药物的反应。

Franco, Marcela; Jeggari, Ashwini; Peuget, Sylvain; Böttger, Franziska; Selivanova, Galina; Alexeyenko, Andrey

Copy number gain of hsa-miR-569 at 3q26.2 leads to loss of TP53INP1 and aggressiveness of epithelial cancers

3q26.2位点hsa-miR-569拷贝数增加导致TP53INP1缺失和上皮癌侵袭性增强。

Chaluvally-Raghavan, Pradeep; Zhang, Fan; Pradeep, Sunila; Hamilton, Mark P; Zhao, Xi; Rupaimoole, Rajesha; Moss, Tyler; Lu, Yiling; Yu, Shuangxing; Pecot, Chad V; Aure, Miriam R; Peuget, Sylvain; Rodriguez-Aguayo, Cristian; Han, Hee-Dong; Zhang, Dong; Venkatanarayan, Avinashnarayan; Krohn, Marit; Kristensen, Vessela N; Gagea, Mihai; Ram, Prahlad; Liu, Wenbin; Lopez-Berestein, Gabriel; Lorenzi, Philip L; Børresen-Dale, Anne-Lise; Chin, Koei; Gray, Joe; Dusetti, Nelson J; McGuire, Sean E; Flores, Elsa R; Sood, Anil K; Mills, Gordon B