Evidence map›Paper›PMID 24898058›Full record

ReviewNature reviews. Cancer2014

New PARP targets for cancer therapy.

Sejal Vyas, Paul Chang

Abstract readReview
In one paragraph

Review in Nature reviews. Cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 2 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

85 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  16. Importance of Germline and Somatic Alterations in HumanInternational journal of molecular sciences · 2023
    Review
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25 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

2 authors.

Sejal VyasKoch Institute for Integrative Cancer Research and the Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
Paul ChangKoch Institute for Integrative Cancer Research and the Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
PRE-DOCTORAL TRAINING IN THE BIOLOGICAL SCIENCEST32GM007287 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BELL, STEPHEN P., KEATING, AMY E · 1985 to 2019
$40.8M
Analysis of poly(ADP-ribose) function in the cytoplasmic stress responseR01GM087465 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CHANG, PAUL · 2011 to 2015
$1.5M
NCI NIH HHS P30 CA014051NCI NIH HHS P30‑CA14051NIGMS NIH HHS R01 GM087465NIGMS NIH HHS R0I GM087465NIGMS NIH HHS T32 GM007287
6 · The paper itself

Abstract

Poly(ADP-ribose) polymerases (PARPs) modify target proteins post-translationally with poly(ADP-ribose) (PAR) or mono(ADP-ribose) (MAR) using NAD(+) as substrate. The best-studied PARPs generate PAR modifications and include PARP1 and the tankyrase PARP5A, both of which are targets for cancer therapy with inhibitors in either clinical trials or preclinical development. There are 15 additional PARPs, most of which modify proteins with MAR, and their biology is less well understood. Recent data identify potentially cancer-relevant functions for these PARPs, which indicates that we need to understand more about these PARPs to effectively target them.

Indexed as

Adenosine Diphosphate RiboseAnimalsHumansNeoplasmsPoly Adenosine Diphosphate RibosePoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) PolymerasesSubstrate SpecificityAdenosine Diphosphate RibosePoly Adenosine Diphosphate RibosePoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) Polymerases

Identifiers

PMID24898058
PMCPMC4480224

What OpenQuestion holds

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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.