Evidence map›Paper›PMID 37226709›Full record

ArticleHaematologica2023

Subgroup-specific gene expression profiles and mixed epistasis in chronic lymphocytic leukemia.

Almut Lütge, Junyan Lu, Jennifer Hüllein, Tatjana Walther, Leopold Sellner, Bian Wu, Richard Rosenquist, Christopher C Oakes, Sascha Dietrich, Wolfgang Huber and 1 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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

11 authors at 8 institutions in 6 countries.

Almut LütgeGenome Biology Unit, EMBL, Heidelberg, Germany; Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland; SIB Swiss Institute of Bioinformatics, University of Zurich, Zurich.
Junyan LuGenome Biology Unit, EMBL, Heidelberg, Germany; Medical Faculty Heidelberg, Heidelberg University, Heidelberg.
Jennifer HülleinGenome Biology Unit, EMBL, Heidelberg.
Tatjana WaltherMolecular Therapy in Hematology and Oncology and Department of Translational Oncology, NCT and DKFZ, Heidelberg.
Leopold SellnerMolecular Therapy in Hematology and Oncology and Department of Translational Oncology, NCT and DKFZ, Heidelberg, Germany; Department of Medicine V, Heidelberg University Hospital, Heidelberg.
Bian WuMolecular Therapy in Hematology and Oncology and Department of Translational Oncology, NCT and DKFZ, Heidelberg, Germany; Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan.
Richard RosenquistDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Clinical Genetics, Karolinska University Hospital, Solna.
Christopher C OakesDepartment of Internal Medicine, Division of Hematology, The Ohio State University, Columbus.
Sascha DietrichDepartment of Medicine V, Heidelberg University Hospital, Heidelberg.
Wolfgang HuberGenome Biology Unit, EMBL, Heidelberg. wolfgang.huber@embl.org.
Thorsten ZenzMolecular Therapy in Hematology and Oncology and Department of Translational Oncology, NCT and DKFZ, Heidelberg, Germany; Department of Medical Oncology and Hematology, University Hospital Zurich, Zurich. thorsten.zenz@usz.ch.
Heidelberg University · DEEuropean Molecular Biology Organization · DEHeidelberg University · USKarolinska University Hospital · SENational Center for Tumor Diseases · DEThe Ohio State University · USUniversity Hospital of Zurich · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the molecular and phenotypic heterogeneity of cancer is a prerequisite for effective treatment. For chronic lymphocytic leukemia (CLL), recurrent genetic driver events have been extensively cataloged, but this does not suffice to explain the disease's diverse course. Here, we performed RNA sequencing on 184 CLL patient samples. Unsupervised analysis revealed two major, orthogonal axes of gene expression variation: the first one represented the mutational status of the immunoglobulin heavy variable (IGHV) genes, and concomitantly, the three-group stratification of CLL by global DNA methylation. The second axis aligned with trisomy 12 status and affected chemokine, MAPK and mTOR signaling. We discovered non-additive effects (epistasis) of IGHV mutation status and trisomy 12 on multiple phenotypes, including the expression of 893 genes. Multiple types of epistasis were observed, including synergy, buffering, suppression and inversion, suggesting that molecular understanding of disease heterogeneity requires studying such genetic events not only individually but in combination. We detected strong differentially expressed gene signatures associated with major gene mutations and copy number aberrations including SF3B1, BRAF and TP53, as well as del(17)(p13), del(13)(q14) and del(11)(q22.3) beyond dosage effect. Our study reveals previously underappreciated gene expression signatures for the major molecular subtypes in CLL and the presence of epistasis between them.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellEpistasis, GeneticHumansMutationPrognosisTranscriptomeTrisomy

Identifiers

PMID37226709
PMCPMC10614035
OpenAlexW4378173306

What OpenQuestion holds

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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.