Evidence map›Paper›PMID 27401552›Full record

ReviewGenes & development2016

RB1: a prototype tumor suppressor and an enigma.

Nicholas J Dyson

Open access · diamondAbstract readReview
In one paragraph

Review in Genes & development, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 278 papers.

0numbers the graph read from it
0cells of the map it votes in
278citing papers in PubMed
–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

278 citing papers in PubMed, 421 citations in OpenAlex.

  1. Trial
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  7. CRISPR Interference to Inhibit Oncogenes for Cancer Therapy.International journal of molecular sciences · 2026
    Review
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218 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

1 author at 1 institution in 1 country.

Nicholas J DysonMassachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA.
Harvard University · US

Funding

The consequences of RB-lossR01GM117413 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI DYSON, NICHOLAS J · 2016 to 2019
$2.1M
Dissection and manipulation of RB functionR01CA163698 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DYSON, NICHOLAS J · 2012 to 2016
$1.8M
NCI NIH HHS R01 CA163698NIGMS NIH HHS R01 GM117413
6 · The paper itself

Abstract

The retinoblastoma susceptibility gene (RB1) was the first tumor suppressor gene to be molecularly defined. RB1 mutations occur in almost all familial and sporadic forms of retinoblastoma, and this gene is mutated at variable frequencies in a variety of other human cancers. Because of its early discovery, the recessive nature of RB1 mutations, and its frequency of inactivation, RB1 is often described as a prototype for the class of tumor suppressor genes. Its gene product (pRB) regulates transcription and is a negative regulator of cell proliferation. Although these general features are well established, a precise description of pRB's mechanism of action has remained elusive. Indeed, in many regards, pRB remains an enigma. This review summarizes some recent developments in pRB research and focuses on progress toward answers for the three fundamental questions that sit at the heart of the pRB literature: What does pRB do? How does the inactivation of RB change the cell? How can our knowledge of RB function be exploited to provide better treatment for cancer patients?

Indexed as

Cell CycleCell ProliferationE2F Transcription FactorsGene SilencingMutationNeoplasmsResearchRetinoblastoma Binding ProteinsUbiquitin-Protein LigasesE2F Transcription FactorsRB1 protein, humanRetinoblastoma Binding ProteinsUbiquitin-Protein Ligasescell proliferationE2FpRBtumor suppressor

Identifiers

PMID27401552
PMCPMC4949322
OpenAlexW2471978271

What Socratic 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 Socratic graph.