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ABSTRACT: Objective
To explore the correlation of mutation landscape with clinical outcomes in patients with peripheral T-cell lymphoma (PTCL).Methods
We retrospectively analyzed the clinicopathological and prognosis data of 53 patients with PTCL from November 2011 to December 2017. Targeted next-generation sequencing of a 659-gene panel was performed for tissues from 53 patients with PTCLs. The correlation of mutation landscape with clinical outcomes was analyzed.Results
TET2 was the most frequently mutated gene (64%), followed by RHOA (43%), PCLO (23%), DNMT3A (19%), IDH2 (17%), PIEZO1 (17%) and TP53 (15%). When mutated genes were categorized into functional groups, the most common mutations were those involved in epigenetic/chromatin modification (75%), T-cell activation (74%), and the DNA repair/TP53 pathway (64%). TET2/TP53 mutations were significantly associated with positive B symptoms (P?=?0.045), and elevated lactate dehydrogenase (LDH) level (P?=?0.011). Moreover, TET2/TP53 mutation was a risk factor for PTCL patient survival (HR 3.574, 95% CI 1.069 -?11.941, P?=?0.039). The occurrence of JAK/STAT pathway mutations in angioimmunoblastic T-cell lymphoma (AITL) patients conferred a worse progression-free survival (HR 2.366, 95% CI 0.9130-6.129, P?=?0.0334).Conclusions
Heterogeneous gene mutations occur in PTCL, some of which have a negative impact on the survival outcome.
SUBMITTER: Ye Y
PROVIDER: S-EPMC7866778 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Ye Yingying Y Ding Ning N Mi Lan L Shi Yunfei Y Liu Weiping W Song Yuqin Y Shu Shaokun S Zhu Jun J
Experimental hematology & oncology 20210205 1
<h4>Objective</h4>To explore the correlation of mutation landscape with clinical outcomes in patients with peripheral T-cell lymphoma (PTCL).<h4>Methods</h4>We retrospectively analyzed the clinicopathological and prognosis data of 53 patients with PTCL from November 2011 to December 2017. Targeted next-generation sequencing of a 659-gene panel was performed for tissues from 53 patients with PTCLs. The correlation of mutation landscape with clinical outcomes was analyzed.<h4>Results</h4>TET2 was ...[more]