Evidence map›Paper›PMID 25630433›Full record

ReviewInternational journal of hematology2015

Molecular pathogenesis of CLL and its evolution.

David Rodríguez, Gabriel Bretones, Javier R Arango, Víctor Valdespino, Elías Campo, Víctor Quesada, Carlos López-Otín

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of hematology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Clonal dynamics in chronic lymphocytic leukemia.Hematology. American Society of Hematology. Education Program · 2019
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

7 authors.

David RodríguezDepartamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología-IUOPA, Universidad de Oviedo, 33006, Oviedo, Spain.
Gabriel Bretones
Javier R Arango
Víctor Valdespino
Elías Campo
Víctor Quesada
Carlos López-Otín

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In spite of being the most prevalent adult leukemia in Western countries, the molecular mechanisms driving the establishment and progression of chronic lymphocytic leukemia (CLL) remain largely unknown. In recent years, the use of next-generation sequencing techniques has uncovered new and, in some cases, unexpected driver genes with prognostic and therapeutic value. The mutational landscape of CLL is characterized by high-genetic and epigenetic heterogeneity, low mutation recurrence and a long tail of cases with undefined driver genes. On the other hand, the use of deep sequencing has also revealed high intra-tumor heterogeneity and provided a detailed picture of clonal evolution processes. This phenomenon, in which aberrant DNA methylation can also participate, appears to be tightly associated to poor outcomes and chemo-refractoriness, thus providing a new subject for therapeutic intervention. Hence, and having in mind the limitations derived from the CLL complexity thus described, the application of massively parallel sequencing studies has unveiled a wealth of information that is expected to substantially improve patient staging schemes and CLL clinical management.

Indexed as

AnimalsChromosome AberrationsClonal EvolutionDNA MethylationEpigenesis, GeneticHigh-Throughput Nucleotide SequencingHumansLeukemia, Lymphocytic, Chronic, B-CellMutation

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.