Evidence map›Paper›PMID 32612149›Full record

ArticleScientific reports2020

Mesenchymal subtype neuroblastomas are addicted to TGF-βR2/HMGCR-driven protein geranylgeranylation.

Michael E Stokes, Jonnell Candice Small, Alessandro Vasciaveo, Kenichi Shimada, Tal Hirschhorn, Andrea Califano, Brent R Stockwell

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

7 authors at 2 institutions in 1 country.

Michael E StokesDepartment of Biological Sciences, Columbia University, New York City, NY, 10027, USA.
Jonnell Candice SmallDepartment of Biological Sciences, Columbia University, New York City, NY, 10027, USA.
Alessandro VasciaveoDepartment of Systems Biology, Columbia University, New York City, NY, 10027, USA.
Kenichi ShimadaDepartment of Biological Sciences, Columbia University, New York City, NY, 10027, USA.
Tal HirschhornDepartment of Biological Sciences, Columbia University, New York City, NY, 10027, USA.
Andrea CalifanoDepartment of Systems Biology, Columbia University, New York City, NY, 10027, USA.
Brent R StockwellDepartment of Biological Sciences, Columbia University, New York City, NY, 10027, USA. bstockwell@columbia.edu.
Columbia University · USHarvard University · US

Funding

Scientific ReagentsP01CA087497 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PRIVES, CAROL · 2000 to 2021
$35.4M
Predicting Cancer Cell Response to Endogenous and Exogenous Perturbations at the Single Cell LevelR35CA197745 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ANDREA CALIFANO · 2015 to 2026
$11.5M
Systematic pharmacological targeting of the core mechanisms responsible for maintaining cancer cell stateU54CA209997 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA, HONIG, BARRY H · 2016 to 2021
$10.9M
Defining the functions and translational potential of ferroptosisR35CA209896 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI STOCKWELL, BRENT R. · 2016 to 2022
$6.5M
Systematic Identification and Pharmacological Targeting of Tumor Dependencies for Precision Cancer MedicineU01CA217858 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2017 to 2021
$6.1M
High-performance compute cluster for biomedical computingS10OD012351 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2012 to 2012
$2.0M
Storage System for High Performance ComputingS10OD021764 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2016 to 2016
$600k
NCI NIH HHS P01 CA087497NCI NIH HHS R35 CA197745NCI NIH HHS R35 CA209896NCI NIH HHS U01 CA217858NCI NIH HHS U01CA217858NCI NIH HHS U54 CA209997NIH HHS S10 OD012351NIH HHS S10 OD021764
6 · The paper itself

Abstract

The identification of targeted agents with high therapeutic index is a major challenge for cancer drug discovery. We found that screening chemical libraries across neuroblastoma (NBL) tumor subtypes for selectively-lethal compounds revealed metabolic dependencies that defined each subtype. Bioactive compounds were screened across cell models of mesenchymal (MESN) and MYCN-amplified (MYCNA) NBL subtypes, which revealed the mevalonate and folate biosynthetic pathways as MESN-selective dependencies. Treatment with lovastatin, a mevalonate biosynthesis inhibitor, selectively inhibited protein prenylation and induced apoptosis in MESN cells, while having little effect in MYCNA lines. Statin sensitivity was driven by HMGCR expression, the rate-limiting enzyme for cholesterol synthesis, which correlated with statin sensitivity across NBL cell lines, thus providing a drug sensitivity biomarker. Comparing expression profiles from sensitive and resistant cell lines revealed a TGFBR2 signaling axis that regulates HMGCR, defining an actionable addiction in that leads to MESN-subtype-dependent apoptotic cell death.

Indexed as

Protein PrenylationSignal TransductionAntineoplastic AgentsApoptosisBiomarkers, TumorCell Line, TumorFluvastatinHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHydroxymethylglutaryl CoA ReductasesLipidsLovastatinMethotrexateNeuroblastomaN-Myc Proto-Oncogene ProteinReceptor, Transforming Growth Factor-beta Type IIAntineoplastic AgentsBiomarkers, TumorFluvastatinHMGCR protein, humanHydroxymethylglutaryl-CoA Reductase InhibitorsHydroxymethylglutaryl CoA ReductasesLipidsLovastatinMethotrexateMYCN protein, humanN-Myc Proto-Oncogene ProteinReceptor, Transforming Growth Factor-beta Type IIRNA, Small InterferingTGFBR2 protein, humanTriamterene

Identifiers

PMID32612149
PMCPMC7329873
OpenAlexW3038931231

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.