Evidence map›Paper›PMID 42183295›Full record

ReviewFrontiers in immunology2026

Mechanisms of first-line treatment resistance in diffuse large B-cell lymphoma.

Zhumei Zhan, Peipei Li, Yanlu Liu, Changqing Zhen, Ying Zhang, Ou Bai

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 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

6 authors.

Zhumei Zhan *Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Peipei Li *Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Yanlu LiuCollege of Food and Pharmaceutical Engineering, Zhaoqing University, Zhaoqing, Guangdong, China.
Changqing ZhenDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Ying ZhangDepartment of Hematology, Beijing Friendship Hospital Affiliated to Capital Medical University, Beijing, China.
Ou BaiDepartment of Hematology, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of malignant lymphoma in adults. Although 60-70% of patients achieve remission with first-line immunochemotherapy (R-CHOP or pola-R-CHP), approximately 30%-40% of patients still experience develop refractory or relapsed disease. Treatment resistance still remains as the major challenge in DLBCL patient management. Although there is no significant synergy among the components in the R-CHOP or Pola-R-CHP regimens, cross-resistance between these treatments is minimal. Elucidating the mechanisms underlying drug resistance and developing innovative therapeutic strategies are essential for enhancing the clinical outcomes for this patient cohort. This article provides a detailed and up-to-date review of the molecular mechanisms of resistance to the current treatment options in DLBCL. We lastly highlight potential strategies for the rational management of treatment resistance.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsDrug Resistance, NeoplasmLymphoma, Large B-Cell, DiffuseAnimalsCyclophosphamideDoxorubicinHumansPrednisoneRituximabVincristineCyclophosphamideDoxorubicinPrednisoneRituximabVincristinechemotherapydiffuse large B-cell lymphomadrug resistancerituximabvirus

Identifiers

PMID42183295
PMCPMC13194105

What OpenQuestion holds

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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.