Evidence map›Paper›PMID 25606592›Full record

ReviewBreast cancer research : BCR2014

Ubiquitin-specific proteases as therapeutic targets for the treatment of breast cancer.

Anupama Pal, Nicholas J Donato

Open access · goldAbstract readReview
In one paragraph

Review in Breast cancer research : BCR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

31 citing papers in PubMed, 50 citations in OpenAlex.

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  13. Annals of translational medicine · 2021
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  16. Ubiquitin-specific protease 7 downregulation suppresses breast cancer in vitro.Turkish journal of biology = Turk biyoloji dergisi · 2020
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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

2 authors at 2 institutions in 1 country.

Anupama PalDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan Comprehensive Cancer Center, 1500 E. Medical Center Drive, Ann Arbor, MI 48109, USA.
Nicholas J Donato
Michigan Center for Translational Pathology · USUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Key mediators of signaling pathways in breast cancer involve post-translational protein modification, primarily mediated through phosphorylation and ubiquitination. While previous studies focused on phosphorylation events, more recent analysis suggests that ubiquitin plays a parallel and equally important role in several signaling and cell regulatory events in breast cancer. Availability of new tools capable of sensitive detection of gene mutations and aberrant expression of genes and proteins coupled with gene-specific knockdown and silencing protocols have provided insight into the previously unexplored ubiquitin regulatory process within these tumors. Ubiquitin-specific proteases are one class of enzymes with protein deubiquitinating activity, making up the majority of protein deubiquitinating diversity within mammalian cells. Ubiquitin-specific proteases are also emerging as potential therapeutic targets in many diseases, including cancer. In this report, we summarize the involvement of this class of enzymes in breast cancer signaling and cell regulation and illustrate the potential for additional studies to define novel targets and approaches in breast cancer therapy.

Indexed as

AnimalsAntineoplastic AgentsBreast NeoplasmsFemaleHumansMolecular Targeted TherapyProtease InhibitorsSignal TransductionUbiquitin-Specific ProteasesAntineoplastic AgentsProtease InhibitorsUbiquitin-Specific Proteases

Identifiers

PMID25606592
PMCPMC4384352
OpenAlexW2137900580

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.