Evidence map›Paper›PMID 25953678›Full record

ReviewInternational journal of clinical oncology2015

Molecular pathogenesis of multiple myeloma.

Yusuke Furukawa, Jiro Kikuchi

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of clinical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
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  15. Review
  16. Prognostic significance ofJournal of Cancer · 2021
    Article
  17. Review
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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

2 authors.

Yusuke FurukawaDivision of Stem Cell Regulation, Center for Molecular Medicine, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan, furuyu@jichi.ac.jp.
Jiro Kikuchi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM), one of the most intractable malignancies, is characterized by the infiltration and growth of plasma cells, the most differentiated cells in the B-cell lineage, in the bone marrow. Despite the introduction of novel therapeutic agents, including proteasome inhibitors and immunomodulatory drugs, the prognosis of patients with MM is still worse than that of most hematological malignancies. A better understanding of the molecular pathogenesis of the disease is essential to achieve any improvement of treatment outcome of MM patients. All MM cases pass through the phase of asymptomatic expansion of clonal plasma cells, referred to as monoclonal gammopathy of undetermined significance (MGUS). It has long been believed that MM evolves linearly from MGUS to terminal phases, such as extramedullary tumors and plasma cell leukemia via the accumulation of novel mutations. However, recent studies using next-generation sequencing have disclosed the complex genomic architecture of the disease. At each step of progression, the acquisition of novel mutations is accompanied by subclonal evolution from reservoir clones with branching patterns. Each subclone may carry novel mutations and distinct phenotypes, including drug sensitivity. In addition, minor clones already exist at the MGUS stage, which could expand later in the clinical course, resulting in relapse and/or leukemic conversion. The ultimate goal of treatment is to eradicate all clones, including subclonal populations with distinct biological characteristics. This goal could be achieved by further improving treatment strategies that reflect the genomic landscape of the disease.

Indexed as

Disease ProgressionHumansMonoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaPlasma CellsPrognosis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.