Evidence map›Paper›PMID 41715231›Full record

ArticleExperimental hematology & oncology2026

Molecular background of Philadelphia chromosome dependent enhancement of cellular growth and tyrosine kinase inhibitor sensitivity.

Md Faruq Hossain, Lisa Hagenau, Lars R Jensen, Johannes Rhode, Thomas Sura, Manuela G Salazar, Ana Tzvetkova, Corinna Jensen, Stephanie Edwards, Heiko Dunkel and 3 more

Abstract readLetter
In one paragraph

Article in Experimental hematology & oncology, 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. 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

13 authors.

Md Faruq HossainHuman Molecular Genetics Group, Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Lisa HagenauHuman Molecular Genetics Group, Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Lars R JensenHuman Molecular Genetics Group, Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Johannes RhodeHuman Molecular Genetics Group, Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Thomas SuraHuman Molecular Genetics Group, Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Manuela G SalazarDepartment of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Ana TzvetkovaInstitute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany.
Corinna JensenHuman Molecular Genetics Group, Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Stephanie EdwardsHuman Molecular Genetics Group, Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Heiko DunkelInstitute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany.
Stefan SimmInstitute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany.
Josefine RadkeInstitute for Molecular Genomics, University Medicine Greifswald, Greifswald, Germany.
Andreas W KussHuman Molecular Genetics Group, Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany. andreas.kuss@uni-greifswald.de.

Funding

European Regional Development Fund TBI-V-1-423-VBW-144
6 · The paper itself

Abstract

The Philadelphia chromosome is the result of a balanced reciprocal translocation between the long arms of chromosomes 9 and 22, resulting in the fusion gene BCR-ABL1. Despite it being a hallmark of acute lymphocytic leukemia (ALL), acute myelogenous leukemia (AML) and mixed-phenotype acute leukemia, comparatively little is known about its effects, which can be directly attributed to its presence in cancer cells. To study this question, we created and characterized a Jurkat cell line carrying this alteration via a CRISPR/Cas9-based approach. Compared with wild-type Jurkat cells, BCR-ABL1 p190-expressing cells exhibited increased proliferation and increased sensitivity to tyrosine kinase inhibitors (TKIs). By integrating gene expression, DNA methylation and protein expression data generated by next-generation sequencing (NGS) and mass spectrometry analyses, we identified a number of pathways as well as individual proteins that are altered in association with BCR-ABL1 p190. Among the deregulated proteins, we identified known cancer proteins, such as the tumor suppressors ASS1 and ABI3, which were downregulated in our model, or specifically upregulated TRBC1. Particularly noteworthy is the downregulation of CYP51A1, which is known to confer TKI resistance under normal circumstances, and therefore directly associated with increased TKI sensitivity in BCR-ABL1 p190-positive cells. Another interesting feature is SPART, whose abundance was increased despite strong promoter hypermethylation, indicating that some transcriptional changes in BCR-ABL1 p190-carrying cells occur independently of promoter methylation and reflect broader regulatory effects of the fusion.

Indexed as

ALLBCR-ABL1 p190CRISPR/Cas9DNA methylationGene expressionPhiladelphia chromosomeProteomicsTKI sensitivity

Identifiers

PMID41715231
PMCPMC12922320

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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.