Evidence map›Paper›PMID 30520556›Full record

ReviewMolecular oncology2019

Overview of non-coding mutations in chronic lymphocytic leukemia.

Valeria Spina, Davide Rossi

Open access · goldAbstract readReview
In one paragraph

Review in Molecular oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

Valeria SpinaLaboratory of Experimental Hematology, Institute of Oncology Research, Bellinzona, Switzerland.
Davide RossiLaboratory of Experimental Hematology, Institute of Oncology Research, Bellinzona, Switzerland.
Institute of Oncology Research · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic lymphocytic leukemia (CLL) is the most frequent leukemia type in which the genetic alterations influencing the clinico-biological course are not entirely understood. CLL has a heterogeneous course, with some patients showing an indolent course and others experiencing an aggressive course. Whole-genome sequencing and whole-exome sequencing studies identified recurrently mutated genes in CLL and profiled its clonal evolution patterns. However, more recent whole-genome sequencing studies also identified variants in non-coding sequences of the CLL genome, revealing important lesions outside the protein-coding regions. Here we describe the most representative non-coding lesion of the CLL genome, including lesions in the 3'-UTR region of NOTCH1 which result in the truncation of the NOTCH1 protein PEST domain, and non-coding mutations in an enhancer region on chromosome 9p13 which result in reduced expression of the PAX5 transcription factor. In addition, we describe the role of microRNA in CLL, in particular the miR15a/miR16-1 microRNA recurrently affected by deletions of chromosome 13q14. Together, new findings in non-coding genome genetic lesions provide a more complete portrait of the genomic landscape of CLL with clinical implications.

Indexed as

Mutation3' Untranslated RegionsAnimalsChromosome DeletionClonal EvolutionExome SequencingHumansLeukemia, Lymphocytic, Chronic, B-CellMiceMicroRNAsPAX5 Transcription FactorReceptor, Notch1Whole Genome Sequencing3' Untranslated RegionsMicroRNAsNOTCH1 protein, humanPAX5 protein, humanPAX5 Transcription FactorReceptor, Notch1chronic lymphocytic leukemiamutational analysisnon-coding region

Identifiers

PMID30520556
PMCPMC6322188
OpenAlexW2904085232

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.