Evidence map›Paper›PMID 28469964›Full record

ArticleAmerican journal of cancer research2017

Comprehensive pharmacological profiling of neurofibromatosis cell lines.

Jianman Guo, Michael R Grovola, Hong Xie, Grace E Coggins, Patrick Duggan, Rukhsana Hasan, Jiale Huang, Danny W Lin, Claire Song, Gabriela M Witek and 3 more

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  14. Cells · 2020
    Article
  15. Article
  16. Review
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  20. Germline and SomaticCancer prevention research (Philadelphia, Pa.) · 2018
    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

13 authors at 2 institutions in 2 countries.

Jianman GuoDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Michael R GrovolaDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Hong XieDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Grace E CogginsDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Patrick DugganDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Rukhsana HasanHigh Throughput Screening Core, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Jiale HuangDepartment of Chemistry, Merck High Throughput Experimentation Laboratory, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Danny W LinDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Claire SongDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Gabriela M WitekDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Simon BerrittDepartment of Chemistry, Merck High Throughput Experimentation Laboratory, University of PennsylvaniaPhiladelphia, PA 19104, USA.
David C SchultzHigh Throughput Screening Core, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Jeffrey FieldDepartment of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of PennsylvaniaPhiladelphia, PA 19104, USA.
Translational Therapeutics (United States) · USHigh Throughput Biology (United States) · US

Funding

The Role of CAP2 In Sex-Related Myocardial FunctionR01HL134923 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI FIELD, JEFFREY M · 2017 to 2020
$1.6M
NHLBI NIH HHS R01 HL134923
6 · The paper itself

Abstract

Patients with Neurofibromatosis type 1 (NF1) and Neurofibromatosis type 2 (NF2) are predisposed to tumors of the nervous system. NF1 patients predominantly develop neurofibromas, and Malignant Peripheral Nerve Sheath Tumors (MPNST) while NF2 patients develop schwannomas and meningiomas. Here we quantified the drug sensitivities of NF1 and NF2 tumor cell lines in a high throughput platform. The platform contained a comprehensive collection of inhibitors of MEK, RAF, RAS, farnesyl transferase, PAK and ERK, representative drugs against many other cancer pathways including Wnt, Hedgehog, p53, EGF, HDAC, as well as classical cytotoxic agents recommended for treating MPNST, such as doxorubicin and etoposide. We profiled seven NF1-associated MPNST cell lines (ST88-14, ST88-3, 90-8, sNF02.2, T265, S462TY, SNF96.2), one sporadic MPNST cell line (STS26), one schwannoma from a NF2 patient (HEI193), one NF2-deficient malignant meningioma (KT21-MG-Luc5D), one mouse NF2 schwannoma (SC4) and one sporadic rat schwannoma (RT4-67 or RT4). NF1 cells were primarily distinguished from NF2 cells and the sporadic MPNST cell line by their sensitivity to MEK and ERK inhibitors, and to a smaller extent their sensitivity to BH3 mimetics and farnesyl transferase inhibitors. The platform was highly successful in predicting the effects of clinical trials for Neurofibromas.

Indexed as

heat maphigh throughput screenHTSparadoxical activationsignal transductionSpearman’s rank correlation coefficientvon Recklinghausen disease

Identifiers

PMID28469964
PMCPMC5411799
OpenAlexW2982666113

What OpenQuestion holds

Textmetadata
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.