Evidence map›Paper›PMID 36845680›Full record

ArticleFrontiers in oncology2023

In-depth circulating tumor DNA sequencing for prognostication and monitoring in natural killer/T-cell lymphomas.

Jin Ju Kim, Hyun-Young Kim, Zisun Choi, So Yoon Hwang, Hansol Jeong, Jong Rak Choi, Sang Eun Yoon, Won Seog Kim, Sun-Hee Kim, Hee-Jin Kim and 3 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. [Progression and application of circulating tumor DNA in lymphoma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2024
    Review
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jin Ju KimDepartment of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hyun-Young KimDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Zisun ChoiDxome Co. Ltd, 8, Seongnam-si, Gyeonggi-do, Republic of Korea.
So Yoon HwangDxome Co. Ltd, 8, Seongnam-si, Gyeonggi-do, Republic of Korea.
Hansol JeongDxome Co. Ltd, 8, Seongnam-si, Gyeonggi-do, Republic of Korea.
Jong Rak ChoiDepartment of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Sang Eun YoonDivision of Haematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Won Seog KimDivision of Haematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sun-Hee KimDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hee-Jin KimDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sang-Yong ShinDepartment of Laboratory Medicine, Korea Worker's​ Compensation & Welfare Service, Taebaek Hospital, Taebaek-si, Gangwon-do, Republic of Korea.
Seung-Tae LeeDepartment of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Seok Jin KimDivision of Haematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epstein-Barr virus (EBV) quantitation and current imaging modalities are used for diagnosis and disease monitoring in Extranodal NK/T cell lymphoma (ENKTL) but have limitations. Thus, we explored the utility of circulating tumor DNA (ctDNA) as a diagnostic biomarker. Methods: Through in-depth sequencing of 118 blood samples collected longitudinally at different time points from 45 patients, we examined the mutational profile of each sample, estimated its impact on the clinical outcome, and assessed its role as a biomarker in comparison with EBV DNA quantitation. Results: The ctDNA concentration was correlated with treatment response, stage, and EBV DNA quantitation. The detection rate of ctDNA mutation was 54.5%, with Conclusion: Our results suggest that ctDNA analysis can be used to genotype at diagnosis and estimate the tumor burden in patients with ENKTL. Furthermore, ctDNA dynamics indicate the potential use of testing it to monitor therapeutic responses and develop new biomarkers for precision ENKTL therapy.

Indexed as

biomarkerCtDNAExtranodal natural killer/T cell lymphomaliquid biopsymolecular biomarker

Identifiers

PMID36845680
PMCPMC9954142

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.