Evidence map›Paper›PMID 20060400›Full record

ArticleMutation research2010

A quantitative analysis of genomic instability in lymphoid and plasma cell neoplasms based on the PIG-A gene.

David J Araten, Jose A Martinez-Climent, Mary Ann Perle, Eliana Holm, Leah Zamechek, Kimberly DiTata, Katie J Sanders

Abstract read
In one paragraph

Article in Mutation research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Do mutator mutations fuel tumorigenesis?Cancer metastasis reviews · 2013
    Review
  6. Article
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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

7 authors at 3 institutions in 2 countries.

David J AratenDivision of Hematology, NYU School of Medicine, NYU Langone Cancer Center, NY, USA. David.Araten@nyumc.org
Jose A Martinez-Climent
Mary Ann Perle
Eliana Holm
Leah Zamechek
Kimberly DiTata
Katie J Sanders
NYU Langone Health · USNYU Langone’s Laura and Isaac Perlmutter Cancer CenterUniversidad de Navarra · ES

Funding

Measurement &modulation of the mutation rate in humansR01CA109258 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI ARATEN, DAVID J. · 2004 to 2007
$1.1M
NCI NIH HHS R01 CA109258NCI NIH HHS R01-CA109258
6 · The paper itself

Abstract

It has been proposed that hypermutability is necessary to account for the high frequency of mutations in cancer. However, historically, the mutation rate (mu) has been difficult to measure directly, and increased cell turnover or selection could provide an alternative explanation. We recently developed an assay for mu using PIG-A as a sentinel gene and estimated that its average value is 10.6 x 10(-7) mutations per cell division in B-lymphoblastoid cell lines (BLCLs) from normal donors. Here we have measured mu in human malignancies and found that it was elevated in cell lines derived from T cell acute lymphoblastic leukemia, mantle cell lymphoma, follicular lymphoma in transformed phase, and 2 plasma cell neoplasms. In contrast, mu was much lower in a marginal zone lymphoma cell line and 5 other plasma cell neoplasms. The highest mu value that we measured, 3286 x 10(-7), is 2 orders of magnitude above the range we have observed in non-malignant human cells. We conclude that the type of genomic instability detected in this assay is a common but not universal feature of hematologic malignancies.

Indexed as

Genomic InstabilityCell Line, TumorClone CellsFlow CytometryHumansLeukemia, T-CellLymphomaMembrane ProteinsMutationNeoplasms, Plasma CellMembrane Proteinsphosphatidylinositol glycan-class A protein

Identifiers

PMID20060400
PMCPMC2834866
OpenAlexW1966730205

What Socratic holds

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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 Socratic graph.