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Epidermal Growth Factor

Drugs and Chemicals · NLM MeSH · updated 2026-10-31 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

A 6-kDa polypeptide growth factor initially discovered in mouse submaxillary glands.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (830 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

A 6-kDa polypeptide growth factor initially discovered in mouse submaxillary glands. Human epidermal growth factor was originally isolated from urine based on its ability to inhibit gastric secretion and called urogastrone. Epidermal growth factor exerts a wide variety of biological effects including the promotion of proliferation and differentiation of mesenchymal and epithelial cells. It is synthesized as a transmembrane protein which can be cleaved to release a soluble active form.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Growth Factor, Epidermal; beta-Urogastrone; beta Urogastrone; EGF; Epidermal Growth Factor-Urogastrone; Growth Factor-Urogastrone, Epidermal; Human Urinary Gastric Inhibitor; Urogastrone.

Where it fits in the MeSH classification

Broader topics
Gastrointestinal Hormones; EGF Family of Proteins
See also
Anti-Ulcer Agents; Gastrointestinal Agents; ErbB Receptors

Related concepts

  • Epithelial Cells

Research landscape

PubMed indexes 24,808 records tagged with the MeSH heading “Epidermal Growth Factor” (counts retrieved 2026-10-31). 1,639 of them (6.6%) were published from 2020 onward, and the busiest period so far is through 1999 with 12,022 records.

Reviews account for 1,559 records (6.3%) and meta-analyses for 45. Randomized controlled trials number 140 (0.6%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 12,022 records; 2000-2009: 6,742 records; 2010-2019: 4,405 records; 2020 onward: 1,639 records12,022through 19996,7422000-20094,4052010-20191,6392020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199912,022
2000-20096,742
2010-20194,405
2020 onward1,639
Share of records by publication typeReviews: 6.3 percent; Meta-analyses: 0.2 percent; Randomized controlled trials: 0.6 percentReviews6.3% (1,559)Meta-analyses0.2% (45)Randomized controlled trials0.6% (140)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 24,808 PubMed records
TypeRecordsShare
Reviews1,5596.3%
Meta-analyses450.2%
Randomized controlled trials1400.6%

Method: PubMed query "Epidermal Growth Factor"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.

Reading the evidence in drugs and chemicals

Studies of a chemical or drug can answer very different questions: what it is and how it behaves in cells and animals, how the body handles it, and whether it changes outcomes in people. Laboratory and animal findings often do not carry over to patients, and observational studies of exposures are confounded by who uses a substance and why. Nothing on this page is a recommendation to use, avoid, start or stop any substance or medicine; talk to a qualified clinician or pharmacist about your own situation. Check the dose, the species, the comparison group and whether a patient-relevant outcome was measured.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Improved pharmacodynamics of epidermal growth factor via microneedles-based self-powered transcutaneous electrical stimulation
Yang Y, Luo R, Chao S, Xue J, Jiang D, Feng YH, et al.
2022Research article
Design not recorded in structured metadata
100cc by
PMID 36376334 · DOI · PMC9663450
TGFβ and EGF signaling orchestrates the AP-1- and p63 transcriptional regulation of breast cancer invasiveness
Sundqvist A, Vasilaki E, Voytyuk O, Bai Y, Morikawa M, Moustakas A, et al.
2020Research article
Design not recorded in structured metadata
80cc by
PMID 32350443 · DOI · PMC7253358
Epidermal Growth Factor, through Alleviating Oxidative Stress, Protect IPEC-J2 Cells from Lipopolysaccharides-Induced Apoptosis
Tang X, Liu B, Wang X, Yu Q, Fang R
2018Research article
Design not recorded in structured metadata
70cc by
PMID 29538305 · DOI · PMC5877709
The distal nephron biomarkers associate with diabetic kidney disease progression
Tamargo CL, Coca SG, Thiessen Philbrook H, Hu DG, Ix JH, Shlipak MG, et al.
2025Randomized controlled trial
Design not recorded in structured metadata
8cc by
PMID 40548378 · DOI · PMC12220953

Improved pharmacodynamics of epidermal growth factor via microneedles-based self-powered transcutaneous electrical stimulation [1]

Research article Yang Y, Luo R, Chao S, Xue J, Jiang D, Feng YH, et al. · · 2022 · cited 100 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Epidermal growth factor is an excellent drug for promoting wound healing; however, its conventional administration strategies are associated with pharmacodynamic challenges, such as low transdermal permeability, reduction, and receptor desensitization.
Closing excerpt
Collectively, this work highlights the promise of self-powered electrical adjuvants in improving drug pharmacodynamics, creating combinatorial therapeutic strategies for traditional drugs.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (156 words)

Epidermal growth factor is an excellent drug for promoting wound healing; however, its conventional administration strategies are associated with pharmacodynamic challenges, such as low transdermal permeability, reduction, and receptor desensitization. Here, we develop a microneedle-based self-powered transcutaneous electrical stimulation system (mn-STESS) by integrating a sliding free-standing triboelectric nanogenerator with a microneedle patch to achieve improved epidermal growth factor pharmacodynamics. We show that the mn-STESS facilitates drug penetration and utilization by using microneedles to pierce the stratum corneum. More importantly, we find that it converts the mechanical energy of finger sliding into electricity and mediates transcutaneous electrical stimulation through microneedles. We demonstrate that the electrical stimulation applied by mn-STESS acts as an "adjuvant" that suppresses the reduction of epidermal growth factor by glutathione and upregulates its receptor expression in keratinocyte cells, successfully compensating for receptor desensitization. Collectively, this work highlights the promise of self-powered electrical adjuvants in improving drug pharmacodynamics, creating combinatorial therapeutic strategies for traditional drugs.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 36376334 · DOI · PMC9663450

TGFβ and EGF signaling orchestrates the AP-1- and p63 transcriptional regulation of breast cancer invasiveness [2]

Research article Sundqvist A, Vasilaki E, Voytyuk O, Bai Y, Morikawa M, Moustakas A, et al. · · 2020 · cited 80 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Activator protein (AP)-1 transcription factors are essential elements of the pro-oncogenic functions of transforming growth factor-β (TGFβ)-SMAD signaling.
Closing excerpt
Our findings may, therefore, be of importance for therapy of patients with breast cancers with an activated EGFR-RAS-RAF pathway.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (207 words)

Activator protein (AP)-1 transcription factors are essential elements of the pro-oncogenic functions of transforming growth factor-β (TGFβ)-SMAD signaling. Here we show that in multiple HER2+ and/or EGFR+ breast cancer cell lines these AP-1-dependent tumorigenic properties of TGFβ critically rely on epidermal growth factor receptor (EGFR) activation and expression of the ΔN isoform of transcriptional regulator p63. EGFR and ΔNp63 enabled and/or potentiated the activation of a subset of TGFβ-inducible invasion/migration-associated genes, e.g., ITGA2, LAMB3, and WNT7A/B, and enhanced the recruitment of SMAD2/3 to these genes. The TGFβ- and EGF-induced binding of SMAD2/3 and JUNB to these gene loci was accompanied by p63-SMAD2/3 and p63-JUNB complex formation. p63 and EGFR were also found to strongly potentiate TGFβ induction of AP-1 proteins and, in particular, FOS family members. Ectopic overexpression of FOS could counteract the decrease in TGFβ-induced gene activation after p63 depletion. p63 is also involved in the transcriptional regulation of heparin binding (HB)-EGF and EGFR genes, thereby establishing a self-amplification loop that facilitates and empowers the pro-invasive functions of TGFβ. These cooperative pro-oncogenic functions of EGFR, AP-1, p63, and TGFβ were efficiently inhibited by clinically relevant chemical inhibitors. Our findings may, therefore, be of importance for therapy of patients with breast cancers with an activated EGFR-RAS-RAF pathway.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32350443 · DOI · PMC7253358

Epidermal Growth Factor, through Alleviating Oxidative Stress, Protect IPEC-J2 Cells from Lipopolysaccharides-Induced Apoptosis [3]

Research article Tang X, Liu B, Wang X, Yu Q, Fang R · · 2018 · cited 70 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The epidermal growth factor (EGF) has been widely used for protection of stress-induced intestinal mucosa dysfunction.
Closing excerpt
Collectively, our results indicated that EGF enhanced Nrf2 protein expression, and upregulated the expression of phase II metabolizing enzymes (such as HO-1 and NQO1) and antioxidative enzymes (SOD, CAT and GSH-Px) to alleviate oxidative injury, and then protect IPEC-J2 cells from apoptosis induced by LPS.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (215 words)

The epidermal growth factor (EGF) has been widely used for protection of stress-induced intestinal mucosa dysfunction. However, whether EGF would alleviate oxidative injury and reduce apoptosis in porcine intestine is not yet known. Therefore, the aim of this study was to investigate the effect of EGF on lipopolysaccharides (LPS)-induced induction of oxidative stress and ensuing apoptosis in the porcine intestinal epithelial cell line, IPEC-J2. The present study showed that EGF significantly increased cell viability and decreased the LPS-induced induction of apoptosis, dehydrogenase (LDH) release and malonaldehyde (MDA) production. EGF also (i) decreased expression of the pro-apoptotic genes Fas, Bax, Cascase-3, Cascase-8, Cascase-9, and proteins such as P53, Fas, Bax, Caspase3; (ii) increased antiapoptotic protein B-cell lymphoma 2 (Bcl2) expression; (iii) increased mRNA levels of the nuclear factor erythroid 2-related factor 2 (Nrf2) related genes Nrf2, manganese superoxide dismutase (SOD2), catalase (CAT), glutathione peroxidase (GSH-Px), heme oxygenase (HO-1) and quinone oxidoreductase (NQO1); (iv) protein level of Nrf2-realeted proteins Nrf2, HO-1, NQO1; and (v) total antioxidant capacity (T-AOC), CAT, SOD, GSH-Px concentrations. Collectively, our results indicated that EGF enhanced Nrf2 protein expression, and upregulated the expression of phase II metabolizing enzymes (such as HO-1 and NQO1) and antioxidative enzymes (SOD, CAT and GSH-Px) to alleviate oxidative injury, and then protect IPEC-J2 cells from apoptosis induced by LPS.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 29538305 · DOI · PMC5877709

The distal nephron biomarkers associate with diabetic kidney disease progression [4]

Randomized controlled trial Tamargo CL, Coca SG, Thiessen Philbrook H, Hu DG, Ix JH, Shlipak MG, et al. · · 2025 · cited 8 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BACKGROUNDWhile urinary biomarkers show promise in predicting diabetic kidney disease (DKD) progression, distal tubular markers remain understudied.
Closing excerpt
FundingNIH U01DK102730, U01DK103225, K23 DK118198, R01DK137087, U01DK103225, R37DK039773, U01DK114866, U01DK106962, U01DK129984, and R01DK093770; National Institute of Diabetes and Digestive and Kidney Diseases contract U01DK106965.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (252 words)

BACKGROUNDWhile urinary biomarkers show promise in predicting diabetic kidney disease (DKD) progression, distal tubular markers remain understudied. We investigated the association of distal tubule markers, epidermal growth factor (EGF) and uromodulin (UMOD), with DKD progression in the Veterans Affairs Diabetes in Nephropathy (VA NEPHRON-D) clinical trial.MethodsWe used Cox regression models to evaluate the association between each biomarker and DKD progression and the relationship between change over time in biomarker and DKD progression. We used mixed models to investigate biomarker levels at baseline, 12 months, and over time and their relationships with longitudinal eGFR change.ResultsParticipants (n = 1,116) had type 2 diabetes, urine albumin-to-creatinine ratio (UACR) ≥ 300 mg/g, and eGFR 30-89.9 mL/min/1.73 m2. Mean age was 65 years, mean eGFR was 56 (SD 19) mL/min/1.73 m2, and median UACR was 840 (IQR 424-1,780) mg/g. One hundred forty-four participants (13%) had DKD progression over a median follow-up of 2.2 (1.3-3.1) years. Higher baseline EGF and UMOD were independently associated with a lower risk of DKD progression (adjusted HR 0.68, 95% CI 0.47, 0.99 and 0.85, [0.75, 0.98] per 2-fold higher concentration of EGF and UMOD, respectively). Serial biomarker measurements were performed at baseline and 12 months, and a slower decline in biomarkers was associated with a lower risk of DKD progression when adjusted for baseline biomarker levels.ConclusionUrinary EGF and UMOD may serve as valuable prognostic biomarkers in DKD.Trial registrationClinicaltrialsgov NCT00555217.FundingNIH U01DK102730, U01DK103225, K23 DK118198, R01DK137087, U01DK103225, R37DK039773, U01DK114866, U01DK106962, U01DK129984, and R01DK093770; National Institute of Diabetes and Digestive and Kidney Diseases contract U01DK106965.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40548378 · DOI · PMC12220953

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Epidermal growth factor-related peptides and their receptors in human malignancies [5]
    Salomon DS, Brandt R, Ciardiello F, Normanno N · Crit Rev Oncol Hematol · 1995 · cited 1,853 times (Europe PMC)
  • Research article Epidermal growth factor [6]
    Carpenter G, Cohen S · Annu Rev Biochem · 1979 · cited 1,758 times (Europe PMC)
  • Research article Protein-tyrosine kinases [7]
    Hunter T, Cooper JA · Annu Rev Biochem · 1985 · cited 1,446 times (Europe PMC)
  • Research article Epidermal growth factor receptor (EGFR) signaling in cancer [8]
    Normanno N, De Luca A, Bianco C, Strizzi L, Mancino M, Maiello MR, et al. · Gene · 2006 · cited 1,436 times (Europe PMC)
  • Research article Epidermal growth factor [9]
    Carpenter G, Cohen S · J Biol Chem · 1990 · cited 760 times (Europe PMC)
  • Research article Epidermal growth factor receptors: critical mediators of multiple receptor pathways [10]
    Hackel PO, Zwick E, Prenzel N, Ullrich A · Curr Opin Cell Biol · 1999 · cited 430 times (Europe PMC)

References

  1. Yang Y, Luo R, Chao S, Xue J, Jiang D, Feng YH, et al.. Improved pharmacodynamics of epidermal growth factor via microneedles-based self-powered transcutaneous electrical stimulation. . 2022. PMID 36376334 · DOI · PMC9663450
  2. Sundqvist A, Vasilaki E, Voytyuk O, Bai Y, Morikawa M, Moustakas A, et al.. TGFβ and EGF signaling orchestrates the AP-1- and p63 transcriptional regulation of breast cancer invasiveness. . 2020. PMID 32350443 · DOI · PMC7253358
  3. Tang X, Liu B, Wang X, Yu Q, Fang R. Epidermal Growth Factor, through Alleviating Oxidative Stress, Protect IPEC-J2 Cells from Lipopolysaccharides-Induced Apoptosis. . 2018. PMID 29538305 · DOI · PMC5877709
  4. Tamargo CL, Coca SG, Thiessen Philbrook H, Hu DG, Ix JH, Shlipak MG, et al.. The distal nephron biomarkers associate with diabetic kidney disease progression. . 2025. PMID 40548378 · DOI · PMC12220953
  5. Salomon DS, Brandt R, Ciardiello F, Normanno N. Epidermal growth factor-related peptides and their receptors in human malignancies. Crit Rev Oncol Hematol. 1995. PMID 7612182 · DOI
  6. Carpenter G, Cohen S. Epidermal growth factor. Annu Rev Biochem. 1979. PMID 382984 · DOI
  7. Hunter T, Cooper JA. Protein-tyrosine kinases. Annu Rev Biochem. 1985. PMID 2992362 · DOI
  8. Normanno N, De Luca A, Bianco C, Strizzi L, Mancino M, Maiello MR, et al.. Epidermal growth factor receptor (EGFR) signaling in cancer. Gene. 2006. PMID 16377102 · DOI
  9. Carpenter G, Cohen S. Epidermal growth factor. J Biol Chem. 1990. PMID 2186024 · DOI
  10. Hackel PO, Zwick E, Prenzel N, Ullrich A. Epidermal growth factor receptors: critical mediators of multiple receptor pathways. Curr Opin Cell Biol. 1999. PMID 10209149 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-31.

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At a glance

24,808
PubMed records on this heading
7%
published since 2020
1,559
review articles
140
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-31; they show how much has been written, not how strong the evidence is.

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