Evidence map›Paper›PMID 24650973›Full record

ReviewClinical lymphoma, myeloma & leukemia2014

Status of PI3K/Akt/mTOR pathway inhibitors in lymphoma.

Jason R Westin

Open access · greenAbstract readReview
In one paragraph

Review in Clinical lymphoma, myeloma & leukemia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 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

1 author at 1 institution in 1 country.

Jason R WestinDivision of Cancer Medicine, Department of Lymphoma and Myeloma, University of Texas M.D. Anderson Cancer Center, Houston, TX. Electronic address: jwestin@mdanderson.org.
Lymphoma Research Foundation · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS L30 CA162355NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

The phosphatidylinositol-3-kinase (PI3K) pathway is well known to regulate a wide variety of essential cellular functions, including glucose metabolism, translational regulation of protein synthesis, cell proliferation, apoptosis, and survival. Aberrations in the PI3K pathway are among the most frequently observed in cancer, and include amplifications, rearrangements, mutations, and loss of regulators. As a net result of these anomalies, the PI3K pathway is activated in many malignancies, including in Hodgkin and non-Hodgkin lymphomas, and yields a competitive growth and survival advantage, increased metastatic ability, and resistance to conventional therapy. Numerous inhibitors targeting various nodes in the PI3K pathway are undergoing clinical development, and their current status in lymphoma will be the focus of this review.

Indexed as

Molecular Targeted TherapyPhosphoinositide-3 Kinase InhibitorsAntineoplastic AgentsCell DifferentiationCell DivisionClinical Trials as TopicDisease SusceptibilityGene Expression Regulation, NeoplasticHumansIsoenzymesLymphomaMulticenter Studies as TopicNeoplasm ProteinsOpportunistic InfectionsPatient SelectionPhosphatidylinositol 3-KinasesAKT1 protein, humanAntineoplastic AgentsIsoenzymesMTOR protein, humanNeoplasm ProteinsPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProtein Kinase InhibitorsProto-Oncogene Proteins c-aktTOR Serine-Threonine KinasesAktLymphomamTorPI3KReviewSignallingTargetedTherapy

Identifiers

PMID24650973
PMCPMC4125533
OpenAlexW2040414600

What OpenQuestion holds

Textmetadata
LicenceTDM
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.