Evidence map›Paper›PMID 39295116›Full record

ArticleCancer biology & therapy2024

Whole-genome sequencing reveals cellular origin of concomitant chronic lymphocytic leukemia and multiple myeloma: a case report.

Jianing Zhang, Ji Ma, Ying Li, Xiao Lv, Lili Feng

Abstract readCase Reports
In one paragraph

Article in Cancer biology & therapy, 2024. 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. 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

5 authors.

Jianing ZhangDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Ji MaDepartment of Hematology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Ying LiDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xiao LvDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Lili FengDepartment of Hematology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.ORCID 0000-0003-4228-2248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic lymphocytic leukemia (CLL) and multiple myeloma (MM) are hematological disorders affecting B cells. The clonal relationship between CLL and MM has not always been clarified, although this information is critical to understanding its pathogenesis. Here, we present a rare clinical case of synchronous CLL and MM. Whole-genome sequencing (WGS) was performed using malignant lymph node (LN) and bone marrow (BM) tissues. Based on the high consistency of single nucleotide variants (SNVs), significantly mutated genes (SMGs), copy number variations (CNVs), different B cell receptor (BCR) IGH rearrangement features in LN and BM, and the different light-chain expression patterns in CLL and MM cells, we concluded that CLL and MM cells from this patient originated from the same hematopoietic stem cell/progenitors, different pro-B cells and suffered oncogenic mutations at different B cell differentiation stages. Depth analysis of genome features using WGS provides a new method to explore the process of malignant B cell genesis.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellMultiple MyelomaWhole Genome SequencingDNA Copy Number VariationsHumansMutationcase reportcellular originChronic lymphocytic leukemiamultiple myelomawhole-genome sequencing

Identifiers

PMID39295116
PMCPMC11649228

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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.