Evidence map›Paper›PMID 25298408›Full record

ReviewMolecular cancer research : MCR2015

Therapeutic targeting of cellular metabolism in cells with hyperactive mTORC1: a paradigm shift.

Doug Medvetz, Carmen Priolo, Elizabeth P Henske

Open access · greenAbstract readReview
In one paragraph

Review in Molecular cancer research : MCR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-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

26 citing papers in PubMed, 36 citations in OpenAlex.

  1. Metabolic Imaging and Molecular Signatures Reveal Metabolic Phenotypes in Recurrent Glioblastoma.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. The paradox of autophagy in Tuberous Sclerosis Complex.Genetics and molecular biology · 2021
    Article
  10. Glutamine reliance in cell metabolism.Experimental & molecular medicine · 2020
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Somatic overgrowth disorders of the PI3K/AKT/mTOR pathway & therapeutic strategies.American journal of medical genetics. Part C, Seminars in medical genetics · 2016
    Review
  19. Review
  20. Article
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

3 authors at 2 institutions in 1 country.

Doug MedvetzDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Carmen PrioloDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. ehenske@partners.org cpriolo@partners.org.
Elizabeth P HenskeDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. ehenske@partners.org cpriolo@partners.org.
Harvard University · USBrigham and Women's Hospital · US

Funding

Roles of autophagy-mediated pathways in the pathogenesis and treatment of TSCR01DK096556 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HENSKE, ELIZABETH P · 2012 to 2016
$1.8M
NIDDK NIH HHS R01 DK096556
6 · The paper itself

Abstract

mTORC1 is an established master regulator of cellular metabolic homeostasis, via multiple mechanisms that include altered glucose and glutamine metabolism, and decreased autophagy. mTORC1 is hyperactive in the human disease tuberous sclerosis complex (TSC), an autosomal dominant disorder caused by germline mutations in the TSC1 or TSC2 gene. In TSC-deficient cells, metabolic wiring is extensively disrupted and rerouted as a consequence of mTORC1 hyperactivation, leading to multiple vulnerabilities, including "addiction" to glutamine, glucose, and autophagy. There is synergy between two rapidly evolving trajectories: elucidating the metabolic vulnerabilities of TSC-associated tumor cells, and the development of therapeutic agents that selectively target cancer-associated metabolic defects. The current review focuses on recent work supporting the targeting of cellular metabolic dysregulation for the treatment of tumors in TSC, with relevance to the many other human neoplasms with mTORC1 hyperactivation. These data expose a fundamental paradox in the therapeutic targeting of tumor cells with hyperactive mTORC1: inhibition of mTORC1 may not represent the optimal therapeutic strategy. Inhibiting mTORC1 "fixes" the metabolic vulnerabilities, results in a cytostatic response, and closes the door to metabolic targeting. In contrast, leaving mTORC1 active allows the metabolic vulnerabilities to be targeted with the potential for a cytocidal cellular response. The insights provided here suggest that therapeutic strategies for TSC and other tumors with activation of mTORC1 are at the verge of a major paradigm shift, in which optimal clinical responses will be accomplished by targeting mTORC1-associated metabolic vulnerabilities without inhibiting mTORC1 itself.

Indexed as

AutophagyCell Transformation, NeoplasticHumansMechanistic Target of Rapamycin Complex 1Molecular Targeted TherapyMultiprotein ComplexesSignal TransductionTOR Serine-Threonine KinasesTuberous SclerosisTuberous Sclerosis Complex 1 ProteinTuberous Sclerosis Complex 2 ProteinTumor Suppressor ProteinsMechanistic Target of Rapamycin Complex 1Multiprotein ComplexesTOR Serine-Threonine KinasesTSC1 protein, humanTSC2 protein, humanTuberous Sclerosis Complex 1 ProteinTuberous Sclerosis Complex 2 ProteinTumor Suppressor Proteins

Identifiers

PMID25298408
PMCPMC4312527
OpenAlexW2317438321

What OpenQuestion holds

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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.