Evidence map›Paper›PMID 22207685›Full record

ArticleHaematologica2012

Multiple myeloma shows no intra-disease clustering of immunoglobulin heavy chain genes.

Simone Ferrero, Daniela Capello, Mirija Svaldi, Michela Boi, Daniela Gatti, Daniela Drandi, Davide Rossi, Sara Barbiero, Barbara Mantoan, Elisabetta Mantella and 15 more

Abstract read
In one paragraph

Article in Haematologica, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

25 authors.

Simone FerreroDivision of Hematology, Department of Experimental Medicine and Oncology, University of Turin, Italy.
Daniela Capello
Mirija Svaldi
Michela Boi
Daniela Gatti
Daniela Drandi
Davide Rossi
Sara Barbiero
Barbara Mantoan
Elisabetta Mantella
Manuela Zanni
Paola Ghione
Alessandra Larocca
Roberto Passera
Francesco Bertoni
Valter Gattei
Francesco Forconi
Luca Laurenti
Giovanni Del Poeta
Roberto Marasca
Sergio Cortelazzo
Gianluca Gaidano
Antonio Palumbo
Mario Boccadoro
Marco Ladetto

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCharacterization of the immunoglobulin gene repertoire has improved our understanding of the immunopathogenesis of lymphoid tumors. Early B-lymphocyte precursors of multiple myeloma are known to exist and might be susceptible to antigenic drive. DESIGN AND

methodsTo verify this hypothesis, we collected a database of 345 fully readable multiple myeloma immunoglobulin sequences. We characterized the immunoglobulin repertoire, analyzed the somatic hypermutation load, and investigated for stereotyped receptor clusters.

resultsCompared to the normal immunoglobulin repertoire, multiple myeloma displayed only modest differences involving only a few genes, showing that the myeloma immunoglobulin repertoire is the least skewed among mature B-cell tumors. Median somatic hypermutation load was 7.8%; median length of complementarity determining-region 3 was 15.5 amino acids. Clustering analysis showed the absence of myeloma specific clusters and no similarity with published chronic lymphocytic leukemia or lymphoma subsets.

conclusionsAnalysis of multiple myeloma immunoglobulin repertoire does not support a pathogenetic role for antigen selection in this tumor.

Indexed as

B-LymphocytesComplementarity Determining RegionsDatabases, Nucleic AcidData MiningGenes, Immunoglobulin Heavy ChainHumansMultigene FamilyMultiple MyelomaMyeloma ProteinsSequence Analysis, DNASomatic Hypermutation, ImmunoglobulinComplementarity Determining Regionsmyeloma immunoglobulinsMyeloma Proteins

Identifiers

PMID22207685
PMCPMC3366649

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.