Evidence map›Paper›PMID 33544118›Full record

ReviewBiochemical Society transactions2021

The ERK mitogen-activated protein kinase signaling network: the final frontier in RAS signal transduction.

Jennifer E Klomp, Jeff A Klomp, Channing J Der

Open access · greenAbstract readReview
In one paragraph

Review in Biochemical Society transactions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

43 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Impact ofHealth science reports · 2025
    Article
  10. Review
  11. KRAS: the Achilles' heel of pancreas cancer biology.The Journal of clinical investigation · 2025
    Review
  12. Article
  13. Review
  14. "Undruggable KRAS": druggable after all.Genes & development · 2025
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
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 1 institution in 1 country.

Jennifer E KlompLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, U.S.A.
Jeff A KlompLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, U.S.A.
Channing J DerLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, U.S.A.
University of North Carolina at Chapel Hill · US

Funding

Washington University SPORE in Pancreatic CancerP50CA196510 · NCI · WASHINGTON UNIVERSITY · PI HAWKINS, WILLIAM G · 2016 to 2020
$10.9M
Project 4: The role of codon bias in RAS tumorigenesisP01CA203657 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUNTER, CHRISTOPHER M · 2016 to 2020
$7.9M
Targeting undruggable RAS for cancer treatmentR35CA232113 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DER, CHANNING J. · 2018 to 2024
$6.3M
BIOLOGICAL ACTIVITY OF RAS ONCOGENESR01CA042978 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DER, CHANNING J. · 1986 to 2017
$5.9M
CANCER CELL BIOLOGY TRAINING PROGRAMT32CA071341 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHANNING J. DER, Yuliya Pylayeva-Gupta · 1996 to 2026
$5.0M
Identification of synthetic lethal interactors in pancreatic cancerU01CA199235 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COX, ADRIENNE D, DER, CHANNING J. · 2015 to 2019
$2.5M
Mechanisms of PAK1 activation, signaling and tumor resistanceR01CA175747 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DER, CHANNING J., HAHN, KLAUS M. · 2014 to 2018
$1.8M
ERK inhibitor resistance and ERK isoform-dependent growth in pancreatic cancerR21CA179193 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DER, CHANNING J. · 2014 to 2015
$407k
Defining the roles of ERK MAPK in driving KRAS-mutant pancreatic cancer growth.F32CA239328 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KLOMP, JENNIFER E · 2019 to 2020
$72k
NCI NIH HHS F32 CA239328NCI NIH HHS P01 CA203657NCI NIH HHS P50 CA196510NCI NIH HHS R01 CA042978NCI NIH HHS R01 CA175747NCI NIH HHS R21 CA179193NCI NIH HHS R35 CA232113NCI NIH HHS T32 CA071341NCI NIH HHS U01 CA199235
6 · The paper itself

Abstract

The RAF-MEK-ERK mitogen-activated protein kinase (MAPK) cascade is aberrantly activated in a diverse set of human cancers and the RASopathy group of genetic developmental disorders. This protein kinase cascade is one of the most intensely studied cellular signaling networks and has been frequently targeted by the pharmaceutical industry, with more than 30 inhibitors either approved or under clinical evaluation. The ERK-MAPK cascade was originally depicted as a serial and linear, unidirectional pathway that relays extracellular signals, such as mitogenic stimuli, through the cytoplasm to the nucleus. However, we now appreciate that this three-tiered protein kinase cascade is a central core of a complex network with dynamic signaling inputs and outputs and autoregulatory loops. Despite our considerable advances in understanding the ERK-MAPK network, the ability of cancer cells to adapt to the inhibition of key nodes reveals a level of complexity that remains to be fully understood. In this review, we summarize important developments in our understanding of the ERK-MAPK network and identify unresolved issues for ongoing and future study.

Indexed as

AnimalsHumansMAP Kinase Signaling SystemMitogen-Activated Protein KinasesNeoplasmsProtein Interaction Mapsras ProteinsMitogen-Activated Protein Kinasesras Proteinsextracellular signal-regulated kinasesmitogen-activated protein kinasesPDACRAS GTPase

Identifiers

PMID33544118
PMCPMC12691160
OpenAlexW3127912383

What OpenQuestion 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 OpenQuestion graph.