Evidence map›Paper›PMID 31341961›Full record

ArticleCommunications biology2019

Essential genes shape cancer genomes through linear limitation of homozygous deletions.

Maroulio Pertesi, Ludvig Ekdahl, Angelica Palm, Ellinor Johnsson, Linnea Järvstråt, Anna-Karin Wihlborg, Björn Nilsson

Abstract read
In one paragraph

Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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.

Maroulio Pertesi *1Hematology and Transfusion Medicine Department of Laboratory Medicine, BMC, SE-221 84 Lund, Sweden.
Ludvig Ekdahl *1Hematology and Transfusion Medicine Department of Laboratory Medicine, BMC, SE-221 84 Lund, Sweden.
Angelica Palm1Hematology and Transfusion Medicine Department of Laboratory Medicine, BMC, SE-221 84 Lund, Sweden.
Ellinor Johnsson1Hematology and Transfusion Medicine Department of Laboratory Medicine, BMC, SE-221 84 Lund, Sweden.
Linnea Järvstråt1Hematology and Transfusion Medicine Department of Laboratory Medicine, BMC, SE-221 84 Lund, Sweden.
Anna-Karin Wihlborg1Hematology and Transfusion Medicine Department of Laboratory Medicine, BMC, SE-221 84 Lund, Sweden.
Björn Nilsson1Hematology and Transfusion Medicine Department of Laboratory Medicine, BMC, SE-221 84 Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The landscape of somatic acquired deletions in cancer cells is shaped by positive and negative selection. Recurrent deletions typically target tumor suppressor, leading to positive selection. Simultaneously, loss of a nearby essential gene can lead to negative selection, and introduce latent vulnerabilities specific to cancer cells. Here we show that, under basic assumptions on positive and negative selection, deletion limitation gives rise to a statistical pattern where the frequency of homozygous deletions decreases approximately linearly between the deletion target gene and the nearest essential genes. Using DNA copy number data from 9,744 human cancer specimens, we demonstrate that linear deletion limitation exists and exposes deletion-limiting genes for seven known deletion targets (

Indexed as

Gene DeletionGenes, EssentialHomozygoteCarcinoma, Non-Small-Cell LungCell Line, TumorDNAGene DosageGenome, HumanHEK293 CellsHumansLinear ModelsLung NeoplasmsRNADNARNACancer genomicsComputational modelsLung cancer

Identifiers

PMID31341961
PMCPMC6642121

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.