Evidence map›Paper›PMID 27539383›Full record

ReviewCancer medicine2016

The pivotal role of mammalian target of rapamycin inhibition in the treatment of patients with neuroendocrine tumors.

Alexandria T Phan, Bhuvanesh Dave

Open access · goldAbstract readReview
In one paragraph

Review in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 16 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

2 authors at 1 institution in 1 country.

Alexandria T PhanHouston Methodist Hospital Cancer Center, Houston, Texas. atphan@houstonmethodist.org.
Bhuvanesh DaveHouston Methodist Hospital Cancer Center, Houston, Texas.
Methodist Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significant advances have been made toward understanding the biology of neuroendocrine tumors (NET) in terms of defining prognosis and improving clinical management; however, many unmet needs remain. The treatment landscape for NET has evolved, with the approval of the targeted agents everolimus and sunitinib for the treatment of advanced pancreatic NET in 2011 followed by the approval of everolimus for the treatment of advanced nonfunctional gastrointestinal and lung NET in 2016. Mammalian target of rapamycin (mTOR) and components of the mTOR pathway play pivotal roles in NET pathogenesis. Effects of the mTOR inhibitor everolimus have been well documented in preclinical and clinical studies, both as monotherapy and combination therapy. mTOR inhibition as backbone therapy within the NET treatment landscape is a focus of continuing research, which includes evaluation of the growing armamentarium of approved and investigational agents as potential combination partners. Data evaluating the clinical benefits of agents targeting mTOR and related pathways (alone and in combination) in the treatment of patients with NET continue to increase. Many of the findings to date are encouraging.

Indexed as

Antineoplastic AgentsClinical Trials as TopicDrug Screening Assays, AntitumorDrug Therapy, CombinationEverolimusHumansIndolesNeuroendocrine TumorsProtein Kinase InhibitorsPyrrolesSignal TransductionSunitinibTOR Serine-Threonine KinasesTreatment OutcomeAntineoplastic AgentsEverolimusIndolesMTOR protein, humanProtein Kinase InhibitorsPyrrolesSunitinibTOR Serine-Threonine KinasesCombination therapymammalian target of rapamycinneuroendocrine tumorpNETsignaling pathways

Identifiers

PMID27539383
PMCPMC5083749
OpenAlexW2515988937

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.