인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
P53 mutation (TP53m) is a common intrinsic factor involved in relapsed or refractory (R/R) B cell malignancies that associates with treatment resistance. As a novel immunotherapy, CAR-T has been increasingly applied in TP53m B cell malignancies, yet whether it can overcome the poor outcome of the TP53m population is controversial. We searched MEDLINE and EMBASE to identify population-based cohort studies that evaluated the CAR-T treatment outcomes between wild type and TP53m patients in B cell malignancies. Meta-analysis on their complete response (CR), partial response (PR), overall response rate (ORR), progression-free survival (PFS) and overall survival (OS) was carried out and pooled risk ratios (RR) or hazard ratios (HR) were estimated. A total of 10 eligible studies reporting 848 patients with B cell malignancies from wild type and TP53m groups receiving CAR-T therapy were selected. The CR and ORR were comparable in both wild type and TP53m patients either with B cell lymphoma or leukaemia (all p > 0.05). However, the TP53m group was associated with shorter PFS and OS in both diseases (all p < 0.05). In traditional single targeting CAR-T therapy, the PFS and OS were shorter in the TP53m group than in the wild type group (all p < 0.05). In contrast, the former outcomes of the wild type and TP53m groups were comparable when receiving dual-targeting CAR-T treatment (all p > 0.05). Though the CR and ORR of wild type and TP53m groups were similar, the PFS and OS of B cell malignancy patients bearing TP53m were inferior to wild type patients receiving CAR-T cell treatment. Notably, the CR, PFS and OS of wild type and TP53m groups exhibit the same therapeutic effect via CD19/22 CAR-T cocktail therapy. In other words, the poor prognosis of TP53m patients may be overcome by double targeting CAR-T mode.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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