Evidence map›Paper›PMID 42528604›Full record

ReviewFrontiers in oncology2026

Drug-tolerant persister cells in lymphoid malignancies: from mechanisms to therapeutic opportunities.

Meng Li, Suping Tang, Peng Yang, Hao Zhou

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Meng LiInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Suping TangInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Peng YangDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hao ZhouInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapy resistance and relapse remain major obstacles in the treatment of lymphoid malignancies. While the cancer stem cell (CSC) hypothesis has long served as a conceptual framework for understanding chemoresistance, evidence for its direct applicability in lymphoid malignancies is still limited. More recently, drug-tolerant persister (DTP) cells have emerged as an important model for exploring resistance mechanisms, offering complementary perspectives beyond the CSC paradigm. In this review, we summarize recent advances in the study of DTP cells in lymphoid malignancies, including their progression to drug-tolerant expanded persister (DTEP) cells. We discuss experimental models and methodological approaches for investigating DTP cells, as well as the underlying mechanisms of persistence and resistance, which encompass gene-regulatory changes, cell surface remodeling, and immune evasion strategies. Finally, we highlight potential therapeutic avenues such as targeting glycosylation-related pathways, exploiting immunotherapeutic glycopeptide targets, and implementing rational combination regimens. By integrating insights from DTP biology, this review aims to broaden current theories to therapy resistance in lymphoid malignancies and inform the development of innovative treatment strategies.

Indexed as

cancer stem cellchemotherapy resistancedrug-tolerant expanded persisterdrug-tolerant persisterlymphoid malignancies

Identifiers

PMID42528604
PMCPMC13414757

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.