» Articles » PMID: 32695399

Plasma Circulating Tumor DNA Assessment Reveals As a Potential Poor Prognostic Factor in Extranodal NK/T-cell Lymphoma

Overview
Journal Biomark Res
Publisher Biomed Central
Date 2020 Jul 23
PMID 32695399
Citations 21
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The early detection of tumors upon initial diagnosis or during routine surveillance is important for improving survival outcomes. Here, we investigated the feasibility and clinical significance of circulating tumor DNA (ctDNA) detection for Extranodal NK/T-cell lymphoma, nasal type (ENTKL).

Methods: The plasma ctDNA assessment was based on blood specimens collected from 65 newly diagnosed patients with ENKTL in the hematology medical center of Xinqiao Hospital. Longitudinal samples collected under chemotherapy were also included. The gene mutation spectrum of ENKTL was analyzed via next generation sequencing.

Results: We found that the most frequently mutated genes were (23.1%), (12.3%), (10.8%), (9.2%), (9.2%), (9.2%), (9.2%) and (7.7%). The mutation allele frequencies of and were significantly correlated with the disease stage, and mutated were positively correlated with the metabolic tumor burden of the patients. Compared with the tumor tissue, ctDNA profiling showed good concordance (93.75%). Serial ctDNA analysis showed that treatment with chemotherapy could decrease the number and mutation allele frequencies of the genes. Compared with PET/CT, ctDNA has more advantages in tracking residual disease in patients. In addition, patients with mutated had higher expression compared with those with wild type, and mutated predicted poor prognosis.

Conclusion: Our results unveil the mutation spectrum of ENKTL patients' plasma, which can be used to monitor the disease status of the patients exactly, and is the most frequently mutated gene with prognosis prediction value. The application of ctDNA sequencing can provide precision treatment strategies for patients.

Trial Registration: This study is registered with chictr.org (ChiCTR1800014813, registered 7 February, 2018-Retrospectively registered).

Citing Articles

Circulating tumor DNA in lymphoma: technologies and applications.

Fu L, Zhou X, Zhang X, Li X, Zhang F, Gu H J Hematol Oncol. 2025; 18(1):29.

PMID: 40069858 PMC: 11900646. DOI: 10.1186/s13045-025-01673-7.


Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities.

Takemon Y, Pleasance E, Gagliardi A, Hughes C, Csizmok V, Wee K Genome Med. 2024; 16(1):136.

PMID: 39578878 PMC: 11583415. DOI: 10.1186/s13073-024-01401-9.


[Progression and application of circulating tumor DNA in lymphoma].

Huang D, Zhang X, Rao J Zhonghua Xue Ye Xue Za Zhi. 2024; 45(9):878-882.

PMID: 39414617 PMC: 11518914. DOI: 10.3760/cma.j.cn121090-20240528-00197.


A novel prognostic nomogram based on imaging and molecular parameters for newly diagnosed extranodal natural killer/T-cell lymphoma patients.

Huang D, Li F, Lin S, Xia J, Liu B, Li X Haematologica. 2024; 110(1):200-205.

PMID: 39157873 PMC: 11694128. DOI: 10.3324/haematol.2024.285362.


Liquid biopsy in T-cell lymphoma: biomarker detection techniques and clinical application.

Huang Z, Fu Y, Yang H, Zhou Y, Shi M, Li Q Mol Cancer. 2024; 23(1):36.

PMID: 38365716 PMC: 10874034. DOI: 10.1186/s12943-024-01947-7.


References
1.
Jiang L, Gu Z, Yan Z, Zhao X, Xie Y, Zhang Z . Exome sequencing identifies somatic mutations of DDX3X in natural killer/T-cell lymphoma. Nat Genet. 2015; 47(9):1061-6. DOI: 10.1038/ng.3358. View

2.
Scherer F, Kurtz D, Diehn M, Alizadeh A . High-throughput sequencing for noninvasive disease detection in hematologic malignancies. Blood. 2017; 130(4):440-452. PMC: 5881609. DOI: 10.1182/blood-2017-03-735639. View

3.
Au W, Weisenburger D, Intragumtornchai T, Nakamura S, Kim W, Sng I . Clinical differences between nasal and extranasal natural killer/T-cell lymphoma: a study of 136 cases from the International Peripheral T-Cell Lymphoma Project. Blood. 2008; 113(17):3931-7. DOI: 10.1182/blood-2008-10-185256. View

4.
Kurtz D, Green M, Bratman S, Scherer F, Liu C, Kunder C . Noninvasive monitoring of diffuse large B-cell lymphoma by immunoglobulin high-throughput sequencing. Blood. 2015; 125(24):3679-87. PMC: 4463733. DOI: 10.1182/blood-2015-03-635169. View

5.
Chen C, Liu Y, Rappaport A, Kitzing T, Schultz N, Zhao Z . MLL3 is a haploinsufficient 7q tumor suppressor in acute myeloid leukemia. Cancer Cell. 2014; 25(5):652-65. PMC: 4206212. DOI: 10.1016/j.ccr.2014.03.016. View