인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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
Nodal T-follicular helper (TFH) cell lymphomas (nTFHLs) are the most common mature nodal T-cell lymphomas (nTCL) in Europe, characterized by an aggressive course, poor prognosis, and recurrent expression of TFH markers. Their mutational landscape and the impact of these mutations on survival outcomes remain underexplored. In this study, we characterized nTCL features in a Slovenian cohort, comprising 91 nTFHL, 9 peripheral TCL, not otherwise specified (PTCL-NOS), and 8 composite lymphomas [co-occurrence of nTFHL, angioimmunoblastic type (nTFHL-AI) with monoclonal B-cell proliferation], with a median follow up of 23 months. Using immunohistochemistry, clonality testing, and high-throughput sequencing with a lymphoma panel targeting 172 genes, we analyzed their mutational landscape and examined the mutational impact on survival outcomes. The mutational analysis uncovered TET2 (43%), RHOA (26%), IDH2 (9%), PLCG1 (8%), and DNMT3A (6%) as the most commonly mutated genes. RHOA mutations correlated with TET2, IDH2, and DNMT3A mutations, and CD10 expression was linked to TET2 mutations. Multiple mutations, high International Prognostic Index, progressive disease after first-line treatment, and the absence of autologous stem cell transplantation (ASCT) were independent predictors for shorter survival. To date, this study is one of the largest nTCL series, confirming that nTFHLs outnumber PTCL-NOS (92% vs. 8%). Our findings underscore the complex role of genetic factors in nTCL's clinical behaviour and emphasize the importance of ASCT. We also highlight the need for prospective clinical trials, which explore tailored therapeutic interventions, such as hypomethylating agents or IDH inhibitors, for improving survival in specific genetic contexts.
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.
최근 본 자료 전체보기
