Evidence map›Paper›PMID 20799004›Full record

ReviewInternational journal of hematology2010

Genomic profiles in B cell lymphoma.

Masao Seto

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of hematology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

1 author at 1 institution in 1 country.

Masao SetoDivision of Molecular Medicine, Department of Cancer Genetics, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan. mseto@aichi-cc.jp
Aichi Cancer Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosome translocations found in B cell lymphomas generate typical genome profiles that are characteristic of each disease entity. The mechanisms of lymphomagenesis have been investigated with respect to the involvement of deregulated genes in tumor development, as characterized by the promotion of cell proliferation and the blockage of cell differentiation and anti-apoptosis. It is now well known that chromosome translocation alone does not induce tumor formation. New technology such as array CGH and expression profiling introduced as a result of the human genome project introduced a new paradigm from which to understand the molecular mechanisms of lymphoma development. Analyses with this new technology revealed that genome profiles of disease entities are characteristic and differ from disease to disease, although the genome profile of each patient with the same disease entity varies significantly given the recurrent genetic alterations frequently found. These apparent paradoxical findings are likely to be the cause of heterogeneity of the clinicopathological features associated with the same disease entity. Based on these findings, the future prospect and direction of lymphoma research will be discussed.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticGenome, HumanGenomicsHumansLymphoma, B-Cell

Identifiers

PMID20799004
OpenAlexW2065122868

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.