Evidence map›Paper›PMID 40666872›Full record

ArticlebioRxiv : the preprint server for biology2025

Systems-level Consequences of Low RAF Abundance for EGFR-ERK Signaling.

Sung Hyun Lee, Paul J Myers, Kevin S Brown, Leslie M Loew, Alexander Sorkin, Matthew J Lazzara

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Sung Hyun Lee
Kevin S Brown
Leslie M Loew
Alexander Sorkin
Matthew J LazzaraORCID 0000-0003-4244-6599

Funding

PATHOGENESIS OF CANCER--ROLE OF EGF RECEPTOR ENDOCYTOSISR01CA089151 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SORKIN, ALEXANDER D · 2001 to 2023
$6.9M
R35 - ADMIN SUPPLEMENT - EGF Receptor Endocytosis: Mechanisms and Role in SignalingR35GM148363 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALEXANDER D SORKIN · 2023 to 2026
$1.8M
Signaling by the EGF Receptor from EndosomesR01GM124186 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SORKIN, ALEXANDER D · 2017 to 2021
$1.6M
NCI NIH HHS R01 CA089151NIGMS NIH HHS R01 GM124186NIGMS NIH HHS R35 GM148363
6 · The paper itself

Abstract

The RAF kinases are central links between RAS, once activated by receptor tyrosine kinases (RTKs), and the extracellular signal-regulated kinases (ERK). In many cancer cells, RAFs are the least abundantly expressed RTK-ERK pathway proteins and can be present at just hundreds of copies per cell at the plasma membrane, but the consequences of limited RAF expression are unclear. By developing continuum and stochastic computational models of the epidermal growth factor receptor (EGFR)-ERK pathway, we showed that low RAF abundance creates stoichiometric bottlenecks between RTKs and ERK with concomitant stochastic RAF dynamics that propagate to weakly expressed downstream pathway proteins. Advanced sensitivity and Sloppiness analyses identified RAS activation and RAS-RAF interactions as strong determinants of signaling in low-RAF settings and revealed an efficient model fitting approach. RAF bottlenecks were predicted to impede ERK activation by oncogenic RAS mutants and explained a tendency for RAF1 membrane localization to be noisy. This work provides quantitative insight into a common, yet unexplored, regime for EGFR-ERK signaling and a systematic approach to develop and characterize dynamic models of receptor-mediated signaling. STATEMENT OF SIGNIFICANCE: RAF kinases connect receptors to the mitogenic ERK signaling pathway by translocating to the plasma membrane, but in a substantial fraction of cancer cell contexts RAFs are greatly outnumbered by other pathway proteins, potentially creating an unrecognized and consequential signaling bottleneck. We trained a novel computational model of EGFR-ERK signaling and characterized it comprehensively using integrated multivariate sensitivity analyses and Sloppiness analysis. The results revealed that low RAF abundance suppresses EGFR-mediated ERK activation, limits the effects of upstream oncogenic RAS mutants, and creates stochastic RAF dynamics that can propagate downstream. Thus, the canonical EGFR-ERK pathway exhibits divergent behaviors in a parameter space representative of a substantial fraction of cancer cell settings.

Identifiers

PMID40666872
PMCPMC12262585

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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.