Evidence map›Paper›PMID 15138505›Full record

ArticlePLoS biology2004

Many ribosomal protein genes are cancer genes in zebrafish.

Adam Amsterdam, Kirsten C Sadler, Kevin Lai, Sarah Farrington, Roderick T Bronson, Jacqueline A Lees, Nancy Hopkins

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 219 papers.

0numbers the graph read from it
0cells of the map it votes in
219citing papers in PubMed
16.6field-weighted citation impact, top 1% 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

219 citing papers in PubMed, 409 citations in OpenAlex.

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  4. Ribosome specialization by cancer-associated ribosomal protein mutations: progress made and open questions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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159 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Adam AmsterdamCenter for Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Kirsten C Sadler
Kevin Lai
Sarah Farrington
Roderick T Bronson
Jacqueline A Lees
Nancy Hopkins
Center for Cancer Research · USMassachusetts Institute of Technology · USTufts University · US

Funding

Cell division, apoptosis during zebrafish hepatogenesisF32HD042920 · NICHD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SADLER EDEPLI, KIRSTEN C · 2002 to 2004
$115k
NICHD NIH HHS F32 HD042920
6 · The paper itself

Abstract

We have generated several hundred lines of zebrafish (Danio rerio), each heterozygous for a recessive embryonic lethal mutation. Since many tumor suppressor genes are recessive lethals, we screened our colony for lines that display early mortality and/or gross evidence of tumors. We identified 12 lines with elevated cancer incidence. Fish from these lines develop malignant peripheral nerve sheath tumors, and in some cases also other tumor types, with moderate to very high frequencies. Surprisingly, 11 of the 12 lines were each heterozygous for a mutation in a different ribosomal protein (RP) gene, while one line was heterozygous for a mutation in a zebrafish paralog of the human and mouse tumor suppressor gene, neurofibromatosis type 2. Our findings suggest that many RP genes may act as haploinsufficient tumor suppressors in fish. Many RP genes might also be cancer genes in humans, where their role in tumorigenesis could easily have escaped detection up to now.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsGenes, Tumor SuppressorHeterozygoteHumansLoss of HeterozygosityMutagenesisMutationNeurofibromin 2PhenotypeRibosomal ProteinsRibosomesRNARNA, RibosomalZebrafishNeurofibromin 2Ribosomal ProteinsRNARNA, Ribosomal

Identifiers

PMID15138505
PMCPMC406397
OpenAlexW2040524130

What OpenQuestion holds

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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.