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

Clinical Posters From JADPRO Live 2025

JADPRO Live 2025 的临床海报

Nair, Remya; Vu, An H; Freer, Abigail K; Bhatia, Karanpreet S; Wang, Dongxue; Savani, Milan R; Matulis, Shannon M; Lonial, Sagar; Jaye, David L; Boise, Lawrence H; Seo, Seung-Yong; Corson, Timothy W; Nooka, Ajay K; Bhatt, Shruti; McBrayer, Samuel K; Gupta, Vikas A; Hu, Xin; Barwick, Benjamin G; Reddi, Amit R; Shanmugam, Mala

Longitudinal Profiling of Tumor and Immune Compartments Uncovers Patterns of Dysregulation and Associations with Response in Multiple Myeloma

肿瘤和免疫区室的纵向分析揭示了多发性骨髓瘤中失调模式及其与治疗反应的关联

Ohlstrom, Denis J; Pilcher, William C Jr; Michaud, Marina E; Acharya, Chaitanya; Satpathy, Sarthak; Gonzalez-Kozlova, Edgar; Jayasinghe, Reyka G; Ferguson, Katherine; Mumme, Hope L; Nanda, Shivani; Song, Yizhe; Mantrala, Sowmitri; Karagkouni, Dimitra; Schulman, Jessica; Pabustan, Nick; Vieira Dos Santos, Junia; Sherbenou, Daniel W; Keats, Jonathan J; Gout, Alexander M; Foltz, Steven; Lagana, Alessandro; Kourelis, Taxiarchis; Vij, Ravi; Dhodapkar, Madhav V; Avigan, David; Cho, Hearn Jay; Baughn, Linda B; Nooka, Ajay K; Lonial, Sagar; Kumar, Shaji; Samur, Mehmet K; Vlachos, Ioannis S; Ding, Li; Gnjatic, Sacha; Mulligan, George; Bhasin, Manoj K

Infection risk in 158 patients with relapsed/refractory multiple myeloma treated with bispecific antibodies: a single-center experience

158例接受双特异性抗体治疗的复发/难治性多发性骨髓瘤患者的感染风险:单中心经验

Cani, Lorenzo; Scott, Sara A; Roberts, Danielle; Joseph, Nisha S; Hofmeister, Craig C; Gupta, Vikas A; Dhodapkar, Madhav V; Lonial, Sagar; Nooka, Ajay K; Kaufman, Jonathan L

Plain language summary of the management of certain side effects of teclistamab in people with multiple myeloma

用通俗易懂的语言总结特利司他单抗治疗多发性骨髓瘤患者某些副作用的处理方法

Martin, Thomas G; van de Donk, Niels W C J; Rodríguez-Otero, Paula; Mateos, María-Victoria; Kobos, Rachel; Chastain, Katherine; Doyle, Margaret; Nooka, Ajay K

Spatial multi-omics of multiple myeloma uncovers niche-dependent pro-myeloma and immunosuppressive signaling in the bone marrow and extramedullary lesions

多发性骨髓瘤的空间多组学研究揭示了骨髓和髓外病变中依赖于微环境的促骨髓瘤和免疫抑制信号传导

Ohlstrom, Denis J; Michaud, Marina E; Bakhtiari, Mojtaba; Santos, Junia Vieira Dos; Pilcher, William C Jr; Staub, Alden; Satpathy, Sarthak; Ferguson, Katherine; Mantrala, Sowmitri; Kim-Schulze, Seunghee; Chen, Zhihong; Lonial, Sagar; Kemp, Melissa L; Sherbenou, Daniel; Lagana, Alessandro; Jaye, David L; Nooka, Ajay K; Parekh, Samir; Bhasin, Manoj K

The impact of reduced dosing frequency of elranatamab on patient-reported outcomes in patients with relapsed or refractory multiple myeloma: Results from MagnetisMM-3

降低elranatamab给药频率对复发或难治性多发性骨髓瘤患者患者报告结局的影响:MagnetisMM-3研究结果

Bahlis, Nizar J; Nooka, Ajay K; DiBonaventura, Marco; Sullivan, Sharon T; Chaudhary, Mohammad A; Aydin, Didem; Mohty, Mohamad

Early CD4+ T cell proliferation and chronic T cell engagement impact myeloma outcomes following T cell engager therapy

早期CD4+ T细胞增殖和慢性T细胞活化会影响T细胞衔接器治疗后多发性骨髓瘤的预后。

Duffy, Alyssa M; Goenka, Anshika; Azeem, Maryam I; Taz, Azmain; Potdar, Sayalee V; Scott, Sara A; Marin, Ellen; Kaufman, Jonathan L; Hofmeister, Craig C; Joseph, Nisha S; Gupta, Vikas A; Lonial, Sagar; Nooka, Ajay K; Dhodapkar, Madhav V; Dhodapkar, Kavita M

Belantamab Mafodotin Plus Proteasome Inhibition Efficacy Versus Comparators in Early Relapsed Myeloma: A Systematic Review and Network Meta-Analysis

Belantamab Mafodotin联合蛋白酶体抑制剂治疗早期复发性多发性骨髓瘤疗效与对照药物的比较:系统评价和网络荟萃分析

Richter, Joshua; Nooka, Ajay; Rodríguez-Otero, Paula; Schjesvold, Fredrik; Katodritou, Eirini; Combe, Emily; Scott, Marianne; Cooper, Leanne; Sly, Indeg; Ballew, Nick; Bitetti, Jacopo; Boytsov, Natalie; Purser, Molly; McNamara, Simon

Immune-aging is linked to clinical malignancy, racial ancestry, and vaccine responses in myeloma

免疫衰老与多发性骨髓瘤的临床恶性肿瘤、种族血统和疫苗反应有关。

Potdar, Sayalee V; Kapadia, Shivani; Azeem, Maryam I; Radzievski, Roman; Lakhani, Kiran; Joseph, Nisha S; Kaufman, Jonathan L; Hofmeister, Craig C; Gupta, Vikas A; Lonial, Sagar; Nooka, Ajay K; Dhodapkar, Kavita M; Dhodapkar, Madhav V

AI-informed retinal biomarkers predict 10-year risk of onset of multiple hematological malignancies

人工智能辅助的视网膜生物标志物可预测未来10年发生多种血液系统恶性肿瘤的风险

Singh, Amritpal; Nooka, Ajay K; Modanwal, Gourav; Jain, Nieraj; Dhodapkar, Madhav V; Arepalli, Sruthi; Lonial, Sagar; Madabhushi, Anant