Evidence map›Paper›PMID 34191793›Full record

ArticlePLoS computational biology2021

Inhibition of RPS6K reveals context-dependent Akt activity in luminal breast cancer cells.

Cemal Erdem, Adrian V Lee, D Lansing Taylor, Timothy R Lezon

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Cemal ErdemDepartment of Computational & Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0003-3663-3646
Adrian V LeeDepartment of Pharmacology & Chemical Biology, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0001-9917-514X
D Lansing TaylorDepartment of Computational & Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0001-6947-1343
Timothy R LezonDepartment of Computational & Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0001-9802-3961
University of Pittsburgh · USMagee-Womens Research Institute · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JOHN C. BYRD · 1988 to 2026
$158.0M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Informatics Tools for Tumor Heterogeneity in Multiplexed Fluorescence ImagesU01CA204826 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SARACHAN, BRION DARYL, TAYLOR, D. LANSING · 2016 to 2018
$1.1M
NCATS NIH HHS UL1 TR001857NCI NIH HHS P30 CA047904NCI NIH HHS U01 CA204826
6 · The paper itself

Abstract

Aberrant signaling through insulin (Ins) and insulin-like growth factor I (IGF1) receptors contribute to the risk and advancement of many cancer types by activating cell survival cascades. Similarities between these pathways have thus far prevented the development of pharmacological interventions that specifically target either Ins or IGF1 signaling. To identify differences in early Ins and IGF1 signaling mechanisms, we developed a dual receptor (IGF1R & InsR) computational response model. The model suggested that ribosomal protein S6 kinase (RPS6K) plays a critical role in regulating MAPK and Akt activation levels in response to Ins and IGF1 stimulation. As predicted, perturbing RPS6K kinase activity led to an increased Akt activation with Ins stimulation compared to IGF1 stimulation. Being able to discern differential downstream signaling, we can explore improved anti-IGF1R cancer therapies by eliminating the emergence of compensation mechanisms without disrupting InsR signaling.

Indexed as

Models, BiologicalAntigens, CDBreast NeoplasmsCell Line, TumorComputational BiologyComputer SimulationFemaleGenes, BRCA1Genes, BRCA2HumansInsulinInsulin-Like Growth Factor IMAP Kinase Signaling SystemMCF-7 CellsPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsAntigens, CDIGF1 protein, humanIGF1R protein, humanINSR protein, humanInsulinInsulin-Like Growth Factor IPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProto-Oncogene Proteins c-aktReceptor, IGF Type 1Receptor, InsulinRibosomal Protein S6 Kinases

Identifiers

PMID34191793
PMCPMC8277016
OpenAlexW3174290516

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.