Evidence map›Paper›PMID 41670652›Full record

ReviewCellular and molecular life sciences : CMLS2026

Beyond the membrane: rethinking EGFR signaling in physiology and cancer.

Gorana Jendrisek, Deborah Mesa, Alexia Conte, Maria Grazia Malabarba, Sara Sigismund

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. 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

5 authors.

Gorana Jendrisek *Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy.
Deborah Mesa *IEO, European Institute of Oncology IRCCS, Milan, Italy.
Alexia ConteIEO, European Institute of Oncology IRCCS, Milan, Italy.
Maria Grazia MalabarbaDepartment of Oncology and Hematology-Oncology, University of Milan, Milan, Italy.
Sara SigismundDepartment of Oncology and Hematology-Oncology, University of Milan, Milan, Italy. sara.sigismund@ieo.it.ORCID http://orcid.org/0000-0002-1396-4453

Funding

Associazione Italiana per la Ricerca sul Cancro AIRC IG 24415H2020 European Research Council ERC-CoG2020 101002280Ministero della Salute Ricerca Corrente 2023-2024 and 5 per 1000 fundsMinistero dell'Istruzione, dell'Università e della Ricerca PRIN 2022 Prot. 2022W93FTW
6 · The paper itself

Abstract

The epidermal growth factor receptor (EGFR) functions as a central signaling hub that integrates biochemical and mechanical cues essential for tissue development, homeostasis, and disease. Emerging evidence highlights how EGFR activity is finely regulated through its spatial organization at the plasma membrane, intracellular trafficking pathways, and interactions with organelles via specialized membrane contact sites. In addition to its well-established ligand-dependent activation, EGFR also mediates ligand- and kinase-independent functions, adding further complexity to its roles in physiology and pathology, particularly in cancer. This review explores how ligand diversity, cellular context, and mechanical stimuli converge to shape EGFR signaling, emphasizing the integration of ligand-dependent and -independent mechanisms in determining cellular outcomes. We also discuss how these emerging functions influence cancer cell metabolism and survival. A deeper understanding of these intricate signaling networks may inform the development of novel therapeutic strategies to modulate EGFR activity in cancer.

Indexed as

Cell MembraneErbB ReceptorsNeoplasmsSignal TransductionAnimalsHumansLigandsErbB ReceptorsLigands

Identifiers

PMID41670652
PMCPMC12913875

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.