Evidence map›Paper›PMID 34417556›Full record

ArticleLeukemia2022

Longitudinal analyses of CLL in mice identify leukemia-related clonal changes including a Myc gain predicting poor outcome in patients.

Selcen Öztürk, Yashna Paul, Saira Afzal, Irene Gil-Farina, Anna Jauch, Peter-Martin Bruch, Verena Kalter, Bola Hanna, Lavinia Arseni, Philipp M Roessner and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Leukemia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 11 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

16 authors at 3 institutions in 1 country.

Selcen Öztürk *Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID http://orcid.org/0000-0003-3826-0871
Yashna Paul *Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Saira AfzalDepartment of Translational Oncology, National Center for Tumor Diseases and German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID http://orcid.org/0000-0001-5893-7531
Irene Gil-FarinaDepartment of Translational Oncology, National Center for Tumor Diseases and German Cancer Research Center (DKFZ), Heidelberg, Germany.
Anna JauchInstitute of Human Genetics, University of Heidelberg, Heidelberg, Germany.
Peter-Martin BruchDepartment of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-9992-3109
Verena KalterDivision of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Bola HannaDivision of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Lavinia ArseniDivision of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Philipp M RoessnerDivision of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID http://orcid.org/0000-0001-7061-5690
Manfred SchmidtDepartment of Translational Oncology, National Center for Tumor Diseases and German Cancer Research Center (DKFZ), Heidelberg, Germany.
Stephan StilgenbauerDepartment of Internal Medicine III, Ulm University, Ulm, Germany.
Sascha DietrichDepartment of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0648-1832
Peter LichterDivision of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID http://orcid.org/0000-0002-2960-5279
Marc ZapatkaDivision of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID http://orcid.org/0000-0001-8287-5967
Martina SeiffertDivision of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany. m.seiffert@dkfz.de.ORCID http://orcid.org/0000-0001-5155-663X
German Cancer Research Center · DEHeidelberg University · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic lymphocytic leukemia (CLL) is a B-cell malignancy mainly occurring at an advanced age with no single major genetic driver. Transgenic expression of TCL1 in B cells leads after a long latency to a CLL-like disease in aged Eµ-TCL1 mice suggesting that TCL1 overexpression is not sufficient for full leukemic transformation. In search for secondary genetic events and to elucidate the clonal evolution of CLL, we performed whole exome and B-cell receptor sequencing of longitudinal leukemia samples of Eµ-TCL1 mice. We observed a B-cell receptor stereotypy, as described in patients, confirming that CLL is an antigen-driven disease. Deep sequencing showed that leukemia in Eµ-TCL1 mice is mostly monoclonal. Rare oligoclonality was associated with inability of tumors to develop disease upon adoptive transfer in mice. In addition, we identified clonal changes and a sequential acquisition of mutations with known relevance in CLL, which highlights the genetic similarities and therefore, suitability of the Eµ-TCL1 mouse model for progressive CLL. Among them, a recurrent gain of chromosome 15, where Myc is located, was identified in almost all tumors in Eµ-TCL1 mice. Interestingly, amplification of 8q24, the chromosomal region containing MYC in humans, was associated with worse outcome of patients with CLL.

Indexed as

Clonal EvolutionGain of Function MutationAnimalsChromosomesHumansLeukemia, Lymphocytic, Chronic, B-CellMiceMice, Inbred C57BLMice, TransgenicProto-Oncogene ProteinsProto-Oncogene Proteins c-mycMyc protein, mouseProto-Oncogene ProteinsProto-Oncogene Proteins c-mycTcl1 protein, mouse

Identifiers

PMID34417556
PMCPMC8807396
OpenAlexW3194228215

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.