Evidence map›Paper›PMID 42062556›Full record

ReviewLeukemia2026

Measurable residual disease is not a universally reliable surrogate for progression-free survival in clinical trials of new chronic lymphocytic leukemia therapies.

Yun Wang, Chunhua Li, Robert Peter Gale, Qi Liang, Neil E Kay, Qianqian Huang, Yiling Song, Weida Wang, Yang Liang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Leukemia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Yun Wang *Department of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.ORCID http://orcid.org/0000-0002-5836-0872
Chunhua Li *Department of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.ORCID http://orcid.org/0009-0000-2917-1661
Robert Peter Gale *Department of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Qi LiangDepartment of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Neil E KayDivision of Hematology, and Department of Immunology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-5951-5055
Qianqian HuangDepartment of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
Yiling SongDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China.
Weida WangDepartment of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China. wangwd@sysucc.org.cn.ORCID http://orcid.org/0000-0002-8272-5421
Yang LiangDepartment of Hematologic Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Centre for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China. liangyang@sysucc.org.cn.ORCID http://orcid.org/0000-0002-4226-9580

Funding

Chinese Society of Clinical Oncology (Chinese Society of Clinical Oncology, Beijing Xisike Clinical Oncology Research Foundation) Y-SYBLD2022MS-0140National Natural Science Foundation of China (National Science Foundation of China) 82470162
6 · The paper itself

Abstract

Several recent trials of new chronic lymphocytic leukemia (CLL) therapies used results of measurable residual disease (MRD)-testing as a primary endpoint assuming it is an accurate surrogate for progression-free survival (PFS) which is, itself, a surrogate endpoint for survival. But whether MRD-testing results accurately correlates with PFS following Bruton tyrosine kinase-inhibitor (BTK-i) therapy with or without venetoclax or for fixed duration therapy regimens is controversial. We searched PubMed, Web of Science, Embase, and Cochrane Library up to February 8, 2025, identifying 43 trials involving 9628 subjects to assess MRD's accuracy in predicting PFS. At the individual-level subjects with detectable MRD (dMRD) had a significantly higher risk of progression or death than those with undetectable MRD (uMRD; Hazard Ratio [HR] = 3.67; 95% Credibility Interval [CrI] 3.34, 4.03; P < 0.01). In contrast, MRD-testing results and PFS were weak at the trial-level (Spearman rho [R] = -0.33; Determination Coefficients [R² ] = 0.06), especially for BTKi- therapy (R = -0.05, R² = 0.03) and venetoclax-based therapies (R = -0.28, R² = 0.02). Correlations were stronger for therapies involving drugs such as chemoimmunotherapy and/or monoclonal antibodies, where MRD tests of bone marrow (R = -0.94; R

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsLeukemia, Lymphocytic, Chronic, B-CellNeoplasm, ResidualBridged Bicyclo Compounds, HeterocyclicClinical Trials as TopicHumansPrognosisProgression-Free SurvivalProtein Kinase InhibitorsSulfonamidesBridged Bicyclo Compounds, HeterocyclicProtein Kinase InhibitorsSulfonamidesvenetoclax

Identifiers

What OpenQuestion holds

Textmetadata
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.