Evidence map›Paper›PMID 41094514›Full record

ArticleCell communication and signaling : CCS2025

Clinical implications of ctDNA-based minimal residual disease detection in newly diagnosed peripheral T-cell lymphoma: a single-center cohort study.

Jin-Hua Liang, Wei Hua, Hua Yin, Yue Li, Xin-Yi Zhang, Jun-Heng Liang, Liu-Qing Zhu, Rui Gao, Chen-Xuan Wang, Yang Shao and 8 more

Abstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
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

18 authors.

Jin-Hua Liang *Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
Wei Hua *Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
Hua Yin *Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
Yue LiDepartment of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
Xin-Yi ZhangDepartment of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
Jun-Heng LiangNanjing Geneseeq Technology Inc, Nanjing, Jiangsu, China.
Liu-Qing ZhuNanjing Geneseeq Technology Inc, Nanjing, Jiangsu, China.
Rui GaoDepartment of Endocrinology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
Chen-Xuan WangNanjing Geneseeq Technology Inc, Nanjing, Jiangsu, China.
Yang ShaoNanjing Geneseeq Technology Inc, Nanjing, Jiangsu, China.
Bi-Hui PanDepartment of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
Xin-Yu ZhangDepartment of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
Jia-Zhu WuDepartment of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
Qiu-Xiang OuNanjing Geneseeq Technology Inc, Nanjing, Jiangsu, China.
Jian-Yong LiDepartment of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
Hao-Rui ShenDepartment of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
Li WangDepartment of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China.
Wei XuDepartment of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Key Laboratory of Hematology of Nanjing Medical University; Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, 210029, China. xuwei10000@hotmail.com.

Funding

China Postdoctoral Science Foundation 2022M7114034Jiangsu Provincial Department of Science and Technology BK20220716National Natural Science Foundation of China 82200887
6 · The paper itself

Abstract

Circulating tumor DNA (ctDNA) has been recognized as a promising tumor-specific biomarker, but its molecular features in peripheral T cell lymphoma (PTCL) have not been well explored. We investigated the translational significance of liquid biopsy in a uniformly treated PTCL cohort (N=64). Our study found that pretreatment ctDNA burden was strongly associated with clinical risk factors and identified as a superior predictor of progression-free survival and overall survival. Although 46.9% of patients achieved complete response at the end of therapy (EOT), only 25.9% achieved negative minimal residual disease (MRDend-) and demonstrated superior prognosis. These findings suggests that MRD status at EOT may be a critical factor in disease progression and recurrence for PTCL patients. Additionally, the most frequently altered genes were identified as TET2 (6.7%), DNMT3A (48.5%), RHOA (27.3%), and TP53 (15.2%), which were not cleared by first-line CHOP-like regimens. Most importantly, clonal evolution was displayed during induction therapy and follow-up across all histological subtypes of PTCL patients.These findings support that EOT MRD status could serve as an important prognostic marker for PTCL patients and clear the direction of exploration and selection the new drugs particularly targeted to TET2/DNMT3A/RHOA mutation integrating with conventional treatments for PTCL patients.

Indexed as

Circulating Tumor DNALymphoma, T-Cell, PeripheralNeoplasm, ResidualAdultAgedBiomarkers, TumorCohort StudiesDioxygenasesDNA-Binding ProteinsFemaleHumansMaleMiddle AgedPrognosisBiomarkers, TumorCirculating Tumor DNADioxygenasesDNA-Binding ProteinsTET2 protein, humanCirculating tumor DNAClonal evolutionNewly diagnosedNext generation sequencingOutcomesPTCLSTAT3 mutationTP53 mutation

Identifiers

PMID41094514
PMCPMC12522508

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.