Evidence map›Paper›PMID 42028025›Full record

ArticleiScience2026

Longitudinal ctDNA tracking by low-pass whole-genome sequencing predicts CAR-T outcomes in B-cell lymphomas.

Sijun Zhang, Honghan Qiao, Feiyang Zong, Yukai Duan, Renjie Hua, Qingjiang Chen, Xudong Zhang

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Sijun ZhangDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Honghan QiaoDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Feiyang ZongDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Yukai DuanDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Renjie HuaDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Qingjiang ChenDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
Xudong ZhangDepartment of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current PET/CT monitoring for relapsed/refractory B-cell lymphomas treated with CAR-T therapy often lacks specificity. We evaluated longitudinal low-pass whole-genome sequencing (LP-WGS) of circulating tumor DNA (ctDNA) in 11 patients with B-cell lymphoma receiving axicabtagene ciloleucel to assess treatment response and prognosis. We found that lower baseline tumor fraction correlated with complete remission (CR), and ctDNA positivity at baseline or 1-month post-infusion significantly predicted inferior survival outcomes. Combining ctDNA with PET/CT refined risk stratification, distinguishing high-risk patients more accurately than imaging alone. Furthermore, specific genomic features, such as 17p deletion and high copy number variation burden, were associated with poor prognosis. We conclude that LP-WGS of ctDNA shows promise as a complementary tool to PET/CT for response evaluation and risk stratification in CAR-T-treated B-cell lymphomas, highlighting its potential to guide personalized clinical management in lymphoma care.

Indexed as

Health sciences

Identifiers

PMID42028025
PMCPMC13099500

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.