Evidence map›Paper›PMID 34615983›Full record

ArticleCommunications biology2021

A systematic analysis of genetic interactions and their underlying biology in childhood cancer.

Josephine T Daub, Saman Amini, Denise J E Kersjes, Xiaotu Ma, Natalie Jäger, Jinghui Zhang, Stefan M Pfister, Frank C P Holstege, Patrick Kemmeren

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. 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
0.5field-weighted citation impact, top 29% 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, 8 citations in OpenAlex.

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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

9 authors at 3 institutions in 3 countries.

Josephine T Daub *Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CG, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0003-1424-6602
Saman Amini *Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CG, Utrecht, The Netherlands.
Denise J E KersjesPrincess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CG, Utrecht, The Netherlands.
Xiaotu MaComputational Biology, St Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA.ORCID http://orcid.org/0000-0002-6233-2145
Natalie JägerHopp Children´s Cancer Center Heidelberg (KiTZ) and Division of Pediatric Neurooncology, German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.
Jinghui ZhangComputational Biology, St Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, 38105, USA.ORCID http://orcid.org/0000-0003-3350-9682
Stefan M PfisterHopp Children´s Cancer Center Heidelberg (KiTZ) and Division of Pediatric Neurooncology, German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 430, 69120, Heidelberg, Germany.
Frank C P HolstegePrincess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CG, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-8090-5146
Patrick KemmerenPrincess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CG, Utrecht, The Netherlands. P.Kemmeren@prinsesmaximacentrum.nl.ORCID http://orcid.org/0000-0003-2237-7354
Princess Máxima Center · NLGerman Cancer Research Center · DESt. Jude Children's Research Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Childhood cancer is a major cause of child death in developed countries. Genetic interactions between mutated genes play an important role in cancer development. They can be detected by searching for pairs of mutated genes that co-occur more (or less) often than expected. Co-occurrence suggests a cooperative role in cancer development, while mutual exclusivity points to synthetic lethality, a phenomenon of interest in cancer treatment research. Little is known about genetic interactions in childhood cancer. We apply a statistical pipeline to detect genetic interactions in a combined dataset comprising over 2,500 tumors from 23 cancer types. The resulting genetic interaction map of childhood cancers comprises 15 co-occurring and 27 mutually exclusive candidates. The biological explanation of most candidates points to either tumor subtype, pathway epistasis or cooperation while synthetic lethality plays a much smaller role. Thus, other explanations beyond synthetic lethality should be considered when interpreting genetic interaction test results.

Indexed as

Epistasis, GeneticGene Expression Regulation, NeoplasticMutationChildHumansNeoplasms

Identifiers

PMID34615983
PMCPMC8494736
OpenAlexW3203964995

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.