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

C/EBPβ increases tumor aggressiveness by enhancing KIFC1 expression in androgen receptor negative triple negative breast cancer.

C/EBPβ通过增强雄激素受体阴性三阴性乳腺癌中KIFC1的表达来增加肿瘤的侵袭性

Joshi Shriya, Garlapati Chakravarthy, Nguyen Thi, Sharma Shaligram, Chandrashekar Darshan Shimoga, Bhattarai Shristi, Varambally Sooryanarayana, Krishnamurti Uma, Li Xiaoxian, Aneja Ritu

Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer

数字图像分析和机器学习辅助预测三阴性乳腺癌新辅助化疗反应

Fisher, Timothy B; Saini, Geetanjali; Rekha, T S; Krishnamurthy, Jayashree; Bhattarai, Shristi; Callagy, Grace; Webber, Mark; Janssen, Emiel A M; Kong, Jun; Aneja, Ritu

Dysregulated miRNA Expression and Androgen Receptor Loss in Racially Distinct Triple-Negative Breast Cancer

种族差异显著的三阴性乳腺癌中 miRNA 表达失调和雄激素受体缺失

Bhattarai, Shristi; Sugita, Bruna M; Nunes-Souza, Emanuelle; Fonseca, Aline S; Chandrashekar, Darshan Shimoga; Bhargava, Mahak; Cavalli, Luciane R; Aneja, Ritu

Cell cycle traverse rate predicts long-term outcomes in a multi-institutional cohort of patients with triple-negative breast cancer

细胞周期进程率可预测三阴性乳腺癌多中心患者队列的长期预后

Bhattarai, Shristi; Rupji, Manali; Chao, Hsueh-Ping; Xu, Qi; Saini, Geetanjali; Rida, Padmashree; Aleskandarany, Mohammed A; Green, Andrew R; Ellis, Ian O; Janssen, Emiel A; Jonsdottir, Kristin; Rakha, Emad; Kowalski, Jeanne; Aneja, Ritu

Predicting Neoadjuvant Treatment Response in Triple-Negative Breast Cancer Using Machine Learning

利用机器学习预测三阴性乳腺癌新辅助治疗反应

Bhattarai, Shristi; Saini, Geetanjali; Li, Hongxiao; Seth, Gaurav; Fisher, Timothy B; Janssen, Emiel A M; Kiraz, Umay; Kong, Jun; Aneja, Ritu

Association of Race and Area Deprivation With Breast Cancer Survival Among Black and White Women in the State of Georgia

种族和地区贫困程度与佐治亚州黑人和白人女性乳腺癌生存率之间的关联

Luningham, Justin M; Seth, Gaurav; Saini, Geetanjali; Bhattarai, Shristi; Awan, Sofia; Collin, Lindsay J; Swahn, Monica H; Dai, Dajun; Gogineni, Keerthi; Subhedar, Preeti; Mishra, Pooja; Aneja, Ritu

A Case Series Exploration of Multi-Regional Expression Heterogeneity in Triple-Negative Breast Cancer Patients

三阴性乳腺癌患者多区域表达异质性的病例系列研究

Xu, Qi; Kaur, Jaspreet; Wylie, Dennis; Mittal, Karuna; Li, Hongxiao; Kolachina, Rishab; Aleskandarany, Mohammed; Toss, Michael S; Green, Andrew R; Yang, Jianchen; Yankeelov, Thomas E; Bhattarai, Shristi; Janssen, Emiel A M; Kong, Jun; Rakha, Emad A; Kowalski, Jeanne; Aneja, Ritu

Barriers to breast cancer screening in Atlanta, GA: results from the Pink Panel survey at faith-based institutions

佐治亚州亚特兰大市乳腺癌筛查的障碍:来自宗教机构“粉红小组”调查的结果

Balenger, Adelaide; Seth, Gaurav; Bhattarai, Shristi; Collin, Lindsay J; McCullough, Lauren; Gogineni, Keerthi; Subhedar, Preeti; Ellison, Calvin; Khan, Uzma; Swahn, Monica H; Aneja, Ritu

A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images

基于空间注意力引导的深度学习系统,利用乳腺癌组织病理图像预测病理完全缓解

Duanmu, Hongyi; Bhattarai, Shristi; Li, Hongxiao; Shi, Zhan; Wang, Fusheng; Teodoro, George; Gogineni, Keerthi; Subhedar, Preeti; Kiraz, Umay; Janssen, Emiel A M; Aneja, Ritu; Kong, Jun

QNBC Is Associated with High Genomic Instability Characterized by Copy Number Alterations and miRNA Deregulation

QNBC与高度基因组不稳定性相关,其特征是拷贝数改变和miRNA失调。

Bhattarai, Shristi; Sugita, Bruna M; Bortoletto, Stefanne M; Fonseca, Aline S; Cavalli, Luciane R; Aneja, Ritu