Evidence map›Paper›PMID 41510882›Full record

ArticleCancer reports (Hoboken, N.J.)2026

Real-World Outcomes With Low-Dose Dasatinib (50 mg) in Imatinib-Resistant Chronic Myeloid Leukemia in Chronic Phase: A Retrospective Analysis of Efficacy and Safety.

Nandhini Gangadaran, Harshal Mamlekar, Souvik Saha, Rajesh Kashyap, Sanjeev Yadav, Khaliqur Rahman, Ruchi Gupta, Mona Vijayaran, Manish Singh, Dinesh Chandra

Abstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 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

10 authors.

Nandhini GangadaranDepartment of Hematology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.ORCID 0009-0006-2011-4760
Harshal MamlekarDepartment of Hematology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.ORCID 0009-0001-5007-8602
Souvik SahaDepartment of Hematology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.ORCID 0000-0002-7971-9776
Rajesh KashyapDepartment of Hematology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.ORCID 0000-0002-6645-8052
Sanjeev YadavDepartment of Hematology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.ORCID 0000-0003-1125-3428
Khaliqur RahmanDepartment of Hematology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.ORCID 0000-0002-8285-2092
Ruchi GuptaDepartment of Hematology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.ORCID 0000-0003-3427-9188
Mona VijayaranDepartment of Hematology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.ORCID 0000-0003-0875-6032
Manish SinghDepartment of Hematology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.ORCID 0000-0001-7558-2656
Dinesh ChandraDepartment of Hematology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.ORCID 0000-0002-6069-8768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDasatinib, a potent second-generation tyrosine kinase inhibitor (TKI), is highly effective in chronic myeloid leukemia in chronic phase (CML-CP) resistant to imatinib at standard dosing (100 mg daily), but is often limited by adverse events. Emerging evidence suggests low-dose dasatinib (50 mg daily) may maintain efficacy with improved safety, but data in imatinib-resistant CML-CP remain limited.

aimsTo evaluate the efficacy and safety of low-dose dasatinib (50 mg daily) in patients with imatinib-resistant CML-CP and to identify predictors of treatment response and disease progression. METHODS AND

resultsThis retrospective cohort study included 53 adults with imatinib-resistant CML-CP treated with low-dose dasatinib at a tertiary center in Northern India (2002-2025). Early molecular response (EMR), major molecular response (MMR), deep molecular response (DMR), progression-free survival (PFS), overall survival (OS), and adverse events were assessed. Multivariate Cox regression identified predictors of poor response and disease progression. Among 53 patients (median age 50 years), 41.5% achieved MR4.5, 20.8% MR4.0, and 15.1% MMR without DMR. Prior loss of MMR on imatinib significantly correlated with a superior response to dasatinib (p = 0.002). TKD mutations were present in 32.1%; the T315I mutation, high ELTS risk, and baseline BCR-ABL1 ⟩ 100% independently predicted poor response. Clinically significant adverse events occurred in 49.1%, primarily cytopenias and pleural effusion. Among our cohort, 22.6% required a TKI switch due to inadequate response and 7.5% due to intolerance.

conclusionLow-dose dasatinib is effective and tolerable in imatinib-resistant CML-CP, with nearly two-thirds achieving DMRs. Predictive biomarkers (T315I mutation, high ELTS risk, high baseline BCR-ABL1) can guide dose optimization.

Indexed as

DasatinibDrug Resistance, NeoplasmLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, Myeloid, Chronic-PhaseProtein Kinase InhibitorsAdultAgedAntineoplastic AgentsFemaleFusion Proteins, bcr-ablHumansImatinib MesylateIndiaMaleMiddle AgedRetrospective StudiesAntineoplastic AgentsDasatinibFusion Proteins, bcr-ablImatinib MesylateProtein Kinase InhibitorsBCR‐ABL positive chronic myeloid leukemiadasatinibimatinib mesylatepleural effusiontyrosine kinase inhibitors

Identifiers

PMID41510882
PMCPMC12784371

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.