Evidence map›Paper›PMID 40319323›Full record

ArticleCancer cell international2025

Genomic signatures in plasma circulating tumor DNA reveal treatment response and prognostic insights in mantel cell lymphoma.

Zhou Ouyang, Ruolan Zeng, Song Wang, Xiaoying Wu, Yajun Li, Yizi He, Caiqin Wang, Chen Xia, Qiuxiang Ou, Hua Bao and 3 more

Abstract read
In one paragraph

Article in Cancer cell international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Journal of clinical medicine · 2025
    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

13 authors.

Zhou Ouyang *Department of Lymphoma and Hematology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, 410013, Hunan, China.
Ruolan Zeng *Department of Lymphoma and Hematology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, 410013, Hunan, China.
Song WangGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210032, Jiangsu, China.
Xiaoying WuGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210032, Jiangsu, China.
Yajun LiDepartment of Lymphoma and Hematology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, 410013, Hunan, China.
Yizi HeDepartment of Lymphoma and Hematology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, 410013, Hunan, China.
Caiqin WangDepartment of Lymphoma and Hematology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, 410013, Hunan, China.
Chen XiaDepartment of Lymphoma and Hematology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, 410013, Hunan, China.
Qiuxiang OuGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210032, Jiangsu, China.
Hua BaoGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210032, Jiangsu, China.
Wei YangGeneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, 210032, Jiangsu, China.
Ling XiaoDepartment of Histology and Embryology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China. xiaolingcsu@csu.edu.cn.
Hui ZhouDepartment of Lymphoma and Hematology, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha, 410013, Hunan, China. zhouhui9403@126.com.

Funding

Clinical Research Center for Lymphoma in Hunan Province, Hunan Provincial Clinical Medical Research Center for Lymphatic Tumors No. 2021SK4015Hunan Provincial Natural Science Foundation of China No. 2022JJ30026Hunan Provincial Natural Science Foundation of China No. 2022JJ30789National Key Clinical Specialty Construction Project No. 2023-223National Natural Science Foundation of China No. 82204414Precision Diagnosis and Treatment Center for Lymphoma in Hunan Province, Hunan Development and Reform Commission High-tech [2021]No.1073
6 · The paper itself

Abstract

backgroundMantle cell lymphoma (MCL) is an aggressive subtype of B-cell non-Hodgkin's lymphoma. The applicability of circulating tumor DNA (ctDNA) for predicting treatment response and prognosis in MCL remains underexplored.

methodsThis study included 34 MCL patients receiving first-line chemoimmunotherapy. We assessed the ability of plasma ctDNA to detect tumor-specific genetic alterations and explored its potential as a noninvasive biomarker for treatment response and prognosis in MCL.

resultsCommonly mutated genes in MCL included CCND1 (93.5%), ATM (48.4%), KMT2D (25.8%), and TP53 (25.8%). Subgroup analysis of tissue samples showed that CDKN2A mutations (P = 0.028), along with alterations in BCR and TCR signaling (P = 0.004) and the PI3K pathway (P = 0.008), were enriched in the blastoid subtype. ATM mutations (P = 0.041) were more prevalent in MIPI-low patients, while epigenetic chromatin remodeling pathway alterations (P = 0.028) were more common in MIPI-high patients. Plasma ctDNA demonstrated high sensitivity for detecting structural variants (96.6%), followed by mutations (71.3%) and copy number variants (30.0%). 75% of patients exhibited moderate-to-high concordance in detecting genomic variants between plasma and tissue samples. Pretreatment ctDNA levels exhibited high specificity in predicting clinical efficacy but had a suboptimal sensitivity of 68.2%. Higher ctDNA levels were significantly associated with shorter progression-free survival (PFS; P = 0.002) and overall survival (OS; P = 0.009). Additional ctDNA-based genetic features associated with shorter PFS included TP53 (P = 0.002), TRAF2 (P = 0.023), and SMARCA4 (P = 0.023) mutations, while TP53 (P = 0.006) and TERT (P = 0.031) mutations predicted shorter OS. Persistent positive ctDNA in post-treatment plasma samples indicated molecular relapse and poor prognosis, whereas undetectable ctDNA defined a subset of patients with favorable survival outcomes.

conclusionsThis study identified plasma ctDNA as a promising biomarker that noninvasively captures tumor-derived genetic variants associated with treatment response and survival outcomes in MCL, highlighting the clinical value of ctDNA for diagnosis, recurrence prediction, and surveillance monitoring.

Indexed as

BiomarkerChemoimmunotherapyCirculating tumor DNAMantle cell lymphoma

Identifiers

PMID40319323
PMCPMC12049778

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