Evidence map›Paper›PMID 24024901›Full record

ReviewPharmacogenomics2013

Tailoring mTOR-based therapy: molecular evidence and clinical challenges.

Gaetano Santulli, Hana Totary-Jain

Open access · greenAbstract readReview
In one paragraph

Review in Pharmacogenomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% 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

55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Gene- and cell-based therapy in cardiovascular diseases.Journal of cardiovascular pharmacology · 2025
    Article
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  10. From Translation to Treatment.Faculty reviews · 2023
    Review
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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.

Gaetano SantulliDepartment of Physiology & Cellular Biophysics, The Clyde & Helen Wu Center for Molecular Cardiology, Columbia University Medical Center, New York, NY 10032, USA.
Hana Totary-Jain
Columbia University Irving Medical Center · US

Funding

MicroRNA Detargeting Novel Therapy for Coronary Artery DiseaseK99HL109133 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TOTARY-JAIN, HANA · 2011 to 2012
$268k
Regulation of Vascular Smooth Muscle Cell ProliferationF32HL088815 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TOTARY-JAIN, HANA · 2008 to 2010
$158k
NHLBI NIH HHS F32 HL088815NHLBI NIH HHS K99 HL109133
6 · The paper itself

Abstract

The mTOR signaling pathway integrates inputs from a variety of upstream stimuli to regulate diverse cellular processes including proliferation, growth, survival, motility, autophagy, protein synthesis and metabolism. The mTOR pathway is dysregulated in a number of human pathologies including cancer, diabetes, obesity, autoimmune disorders, neurological disease and aging. Ongoing clinical trials testing mTOR-targeted treatments number in the hundreds and underscore its therapeutic potential. To date mTOR inhibitors are clinically approved to prevent organ rejection, to inhibit restenosis after angioplasty, and to treat several advanced cancers. In this review we discuss the continuously evolving field of mTOR pharmacogenomics, as well as highlight the emerging efforts in identifying diagnostic and prognostic markers, including miRNAs, in order to assess successful therapeutic responses.

Indexed as

PharmacogeneticsAgingHumansMicroRNAsMolecular Targeted TherapyNeoplasmsSignal TransductionTOR Serine-Threonine KinasesMicroRNAsMTOR protein, humanTOR Serine-Threonine Kinases

Identifiers

PMID24024901
PMCPMC4186793
OpenAlexW2128108497

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.