Evidence mapPaperPMID 22711601Full record

ArticleNMR in biomedicine2013

Decreased lactate concentration and glycolytic enzyme expression reflect inhibition of mTOR signal transduction pathway in B-cell lymphoma.

Seung-Cheol Lee, Michal Marzec, Xiaobin Liu, Suzanne Wehrli, Kanchan Kantekure, Puthiyaveettil N Ragunath, David S Nelson, Edward J Delikatny, Jerry D Glickson, Mariusz A Wasik

Open access · greenAbstract read
In one paragraph

Article in NMR in biomedicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

25 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. How lactate affects immune strategies in lymphoma.Frontiers in molecular biosciences · 2024
    Review
  4. Review
  5. Metabolic Reprogramming and Potential Therapeutic Targets in Lymphoma.International journal of molecular sciences · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Mechanism of antineoplastic activity of lonidamine.Biochimica et biophysica acta · 2016
    Review
  18. Article
  19. Article
  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

10 authors at 2 institutions in 1 country.

Seung-Cheol LeeDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Michal Marzec
Xiaobin Liu
Suzanne Wehrli
Kanchan Kantekure
Puthiyaveettil N Ragunath
David S Nelson
Edward J Delikatny
Jerry D Glickson
Mariusz A Wasik
University of Pennsylvania · USChildren's Hospital of Philadelphia · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI EDWARD J DELIKATNY · 1985 to 2026
$222.3M
Novel role of STAT3 in NPM/ALK-induced oncogenesisR01CA096856 · NCI · UNIVERSITY OF PENNSYLVANIA · PI WASIK, MARIUSZ A. · 2002 to 2013
$3.0M
1H NMR STUDIES OF NON-HODGKINS LYMPHOMAR01CA101700 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GLICKSON, JERRY D · 2004 to 2012
$2.8M
Jak/STAT signaling in human T-cell lymphomasR01CA089194 · NCI · UNIVERSITY OF PENNSYLVANIA · PI WASIK, MARIUSZ A. · 2001 to 2010
$2.5M
STEROID INDUCED CHANGES IN CULTURED MALIGNANT CELLSR01CA008315 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI MELNYKOVYCH, GEORGE · 1985 to 1993
NCI NIH HHS P30 CA016520NCI NIH HHS R01 CA089194NCI NIH HHS R01 CA096856NCI NIH HHS R01 CA101700NCI NIH HHS R01-CA101700NCI NIH HHS R01-CA89194NCI NIH HHS R01-CA96856NCI NIH HHS U24CA08315
6 · The paper itself

Abstract

The application of kinase inhibitors in cancer treatment is growing rapidly. However, methods for monitoring the effectiveness of the inhibitors are still poorly developed and currently rely mainly on the tracking of changes in the tumor volume, a rather late and relatively insensitive marker of the therapeutic response. In contrast, MRS can detect changes in cell metabolism and has the potential to provide early and patient-specific markers of drug activity. Using human B-cell lymphoma models and MRS, we have demonstrated that the inhibition of the mTOR signaling pathway can be detected in malignant cells in vitro and noninvasively in vivo by the measurement of lactate levels. An mTOR inhibitor, rapamycin, suppressed lactic acid production in lymphoma cell line cultures and also diminished steady-state lactate levels in xenotransplants. The inhibition was time dependent and was first detectable 8 h after drug administration in cell cultures. In xenotransplants, 2 days of rapamycin treatment produced significant changes in lactic acid concentration in the tumor measured in vivo, which were followed by tumor growth arrest and tumor volume regression. The rapamycin-induced changes in lactate production were strongly correlated with the inhibition of expression of hexokinase II, the key enzyme in the glycolytic pathway. These studies suggest that MRS or (18) F-fluorodeoxyglucose positron emission tomography (FDG PET) detection of changes in glucose metabolism may represent effective noninvasive methods for the monitoring of mTOR targeting therapy in lymphomas and other malignancies. Furthermore, the measurement of glucose metabolic inhibition by MRS or FDG PET imaging may also prove to be effective in monitoring the efficacy of other kinase inhibitors given that the rapamycin-sensitive mTOR lies downstream of many oncogenic signaling pathways.

Indexed as

AnimalsDown-RegulationGlycolysisLactic AcidLymphoma, B-CellMagnetic Resonance SpectroscopyMiceMice, SCIDSignal TransductionSirolimusTOR Serine-Threonine KinasesLactic AcidmTOR protein, mouseSirolimusTOR Serine-Threonine Kinases

Identifiers

PMID22711601
PMCPMC3491096
OpenAlexW1850282902

What Socratic holds

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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 Socratic graph.