TGF-β Signaling as a Pathological Continuum Linking Idiopathic Pulmonary Fibrosis and Lung Cancer
Highlights
- Persistent and dysregulated TGF-β signaling constitutes a shared pathogenic axis linking idiopathic pulmonary fibrosis and lung cancer through coordinated effects on epithelial cells, fibroblasts, and the immune microenvironment.
- The temporal intensity and cellular context of TGF-β activation critically determine its transition from physiological repair to pathological fibrosis, immune suppression, and tumor progression.
- Therapeutic targeting of TGF-β signaling requires precision strategies that distinguish pathological activation from its essential physiological functions to avoid adverse effects.
- Context-specific and combinatorial approaches, particularly integrating TGF-β modulation with immunotherapy or anti-fibrotic agents, represent promising directions for future clinical translation.
Abstract
1. Introduction
2. Pathological Features and Molecular Regulatory Networks of Idiopathic Pulmonary Fibrosis
3. Roles of TGF-β in Physiological and Pathological Contexts
4. Pulmonary Carcinogenesis: Etiology and the Impact of Fibrotic Lung Disease
5. Genetic Alterations in the TGF-β Signaling Pathway and Their Roles in Pulmonary Fibrosis and Lung Cancer
5.1. Genomic-Scale Analyses of TGF-β Pathway Genes in Lung Cancer and IPF
5.2. Gene-Level Variants and the Epigenetic Regulation of the TGF-β Pathway
6. The Functional Activation of the TGF-β Signaling Pathway in Pulmonary Fibrosis and Lung Cancer
6.1. TGF-β Pathway Activation in Pulmonary Fibrosis
6.2. TGF-β Pathway Activation and Lung Cancer Progression
7. A TGF-β–Driven Shared Pathological Axis Linking IPF and Lung Cancer: A Temporal Model from Acute Repair to Chronic Carcinogenesis
7.1. Acute Lung Injury: TGF-β as a Physiological Regulator of Tissue Repair
7.2. Chronic Injury and IPF Development: Sustained Amplification of TGF-β Signaling
7.3. The Emergence of a Pro-Tumorigenic Microenvironment: The Pathological Continuum from IPF to Lung Cancer
7.4. Integrated Model Summary: TGF-β as a Temporal Master Regulator
8. Therapeutic Strategies Targeting the TGF-β Pathway in Clinical Settings: The Current Status and Challenges
8.1. Direct Neutralization of TGF-β Ligands or Blockade of TGF-β Receptors
8.2. Inhibition of Upstream Activation and Reduction in TGF-β Activation
8.3. Indirect Blockade or Modulation of Downstream Pathways
- (i)
- Pirfenidone, an oral anti-fibrotic drug approved by the U.S. FDA and European regulatory agencies for IPF, exhibits pleiotropic mechanisms, including the suppression of TGF-β1 expression, inhibition of Smad3 signaling, reduction in fibroblast activation, and attenuation of ECM deposition. Clinical studies have demonstrated its ability to slow lung function declines and reduce mortality risks [72].
- (ii)
- Nintedanib, a multitarget receptor tyrosine kinase inhibitor (targeting platelet-derived growth factor receptor, vascular endothelial growth factor receptor, fibroblast growth factor receptor, etc.), has demonstrated efficacy in Phase III clinical trials by reducing the rate of the lung function decline and acute exacerbations in IPF. Although not a direct TGF-β inhibitor, it may exert modulatory effects on TGF-β-related pathways [72].
8.4. TGF-β-Targeted Strategies in Lung Cancer
8.5. Temporal and Context-Dependent Targeting of TGF-β Signaling: Implications for Therapeutic Intervention
9. Conclusions and Future Perspectives: Integrating the Clinical Translational Value of TGF-β in Pulmonary Fibrosis and Lung Cancer
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| IPF | Idiopathic pulmonary fibrosis |
| ECM | Extracellular matrix |
| EMT | Epithelial–mesenchymal transition |
| TGF-β | Transforming growth factor-β |
| CAF | Cancer-associated fibroblasts |
| NSCLC | Non-small cell lung cancer |
| SMAD | Sma- and Mad-related proteins |
| PD-1 | Programmed cell death protein 1 |
| NKG2DL | NKG2D ligand |
| PDGF | Platelet-derived growth factor |
| CTGF | Connective tissue growth factor |
| FGFs | Fibroblast growth factors |
| LAP | Latency-associated peptide |
| LTBPs | latent TGF-β–binding proteins |
| TβRII | Transmembrane type II TGF-β receptor |
| TβRI | Transmembrane type I TGF-β receptor |
| SMURF1 | Smad ubiquitination regulatory factor 1 |
| SNPs | Single nucleotide polymorphisms |
| SCLC | Small cell lung cancer |
| EGFR | Epidermal Growth Factor Receptor |
| KRAS | Kirsten Rat Sarcoma Viral Oncogene Homolog |
| TP53 | Tumor Protein 53 |
| TCGA | The Cancer Genome Atlas |
| GWAS | Genome-wide association studies |
| BLM | Bleomycin |
| SP-C | Surfactant protein C |
| FMT | Fibroblast-to-myofibroblast transition |
| MDSCs | Myeloid-derived suppressor cells |
| PD-L1 | Programmed death-ligand 1 |
| TAM | Tumor-associated macrophage |
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| Gene | Reported Variant Type in TCGA/Lung Cancer | Presence in IPF GWAS Association | Remarks/Interpretation | Representative Source |
|---|---|---|---|---|
| TGFB1 | Higher expression/deregulation in tumors; not frequently somatically mutated | GWAS do not show TGFB1 as a top susceptibility locus | TGF-β1 is often dysregulated in expression and signaling but is not a common driver mutation in TCGA NSCLC datasets | Pan-cancer TCGA analysis (alterations include expression and methylation) as reported in [51] |
| TGFBR1/TGFBR2 | Rare somatic mutations across cancers; not frequent in lung cancer | IPF GWAS do not identify these as top loci | Receptor gene somatic mutation frequency low (TCGA) and not GWAS-associated in IPF | Pan-cancer genomics review [51] |
| SMAD2/SMAD3 | Rare coding mutations; no high-frequency hotspots in NSCLC | Not identified in major IPF GWAS loci | Core signal transducers; impacted through pathway activity changes and epigenetic dysregulation, not a direct SNP risk in IPF | Pan-cancer TCGA analysis as reported in [51] |
| SMAD4 | Reported SMAD4 mutations in NSCLC (~5% in some cohorts) correlated with poor prognosis | Not a top IPF risk locus | SMAD4 alterations occur in a minority of NSCLC cases and affect TGF-β signaling but are not identified as a common IPF GWAS locus | Clinical NSCLC mutation study [52] |
| Other TGF-β superfamily-related genes (e.g., BMP5, ACVR2A, BMPR2) | Some have mutations in pan-cancer analyses including TCGA; not lung-specific | No direct IPF GWAS signals | Found as variant hotspots in large pan-cancer analyses, indicating pathway involvement | TCGA pan-cancer analytic as reported in [51] |
| IPF GWAS Top-Risk Genes (e.g., MUC5B, TERT, DSP) | Not core TGF-β pathway genes | Identified as strong IPF susceptibility loci | Suggests IPF genetic risk is driven by non-TGF-β core signaling genes | IPF GWAS meta-analysis as reported in [53] |
| Gene | Type of Variation | Disease Context | Functional Effect/Mechanism | Representative Evidence |
|---|---|---|---|---|
| TGFB1 | SNP: rs1800469 (C-509T)/rs1982073 (L10P) | Lung cancer susceptibility (population studies) | These promoter/peptide variants alter expression/levels of TGF-β1 and may modulate risk of NSCLC (some subgroups). | Meta-analysis: TGF-β1 polymorphisms and lung cancer risk (rs509/rs1982073) show association in subgroup analyses [56] |
| TGFBR2 | Promoter polymorphism (studied, low MAF) | Lung adenocarcinoma (case–control) | Promoter variants (e.g., G875A) investigated; may change expression but no strong association in studied populations. | TGF-β2/TGFBR2 promoter SNP study in lung adenocarcinoma [58] |
| SMAD3 | SNP: rs12102171 and other SNPs | NSCLC (survival prediction) | Certain SMAD3 variants associated with survival differences after therapy; suggests functional impact of variation on pathway efficiency. | TGF-β SNPs predict NSCLC overall survival [59] |
| SMAD4 | Promoter hypermethylation (epigenetic) | Lung cancer in IPF | Reduced SMAD4 expression via promoter methylation observed in lung cancer/IPF, reducing growth inhibitory response to TGF-β. | Reduced Smad4 expression and promoter methylation in lung cancer/IPF cohort [60] |
| SMAD7 | DNA hypermethylation (epigenetic) | Lung adenocarcinoma metastasis | SMAD7 hypermethylation (via DNMT3B recruitment) suppresses its inhibitory effect → signaling hyperactivation → metastasis potential ↑. | PHF14 enhances SMAD7 DNA methylation, promoting TGF-β–driven metastasis [61] |
| Other pathway SNPs (e.g., BMP2, SMAD9) | SNPs in pathway genes | NSCLC (survival models) | Certain downstream/related gene variants show statistical association with clinical outcomes, supporting polygenic contribution. | NSCLC SNP prediction study (BMP2/SMAD9) [59] |
| TGF-β Pathway Component | Mode of Activation | Disease Context | Major Biological Effects | Representative Evidence |
|---|---|---|---|---|
| TGFB1 | Increased expression and enhanced receptor stabilization | IPF | Promotes myofibroblast differentiation and excessive ECM deposition | PKM2 enhances TGF-β1 signaling and promotes pulmonary fibrosis via PKM2–Smad7–TβR1 interaction [65] |
| TGFBR1 | Increased receptor abundance and downstream signal initiation | IPF | Activates canonical TGF-β/SMAD signaling and cooperates with non-canonical pathways | RCN3 enhances both canonical and non-canonical TGF-β signaling by upregulating TGFBR1 in pulmonary fibrosis [23] |
| SMAD2/3 | Sustained phosphorylation and nuclear translocation | IPF | Upregulates ECM-related genes (e.g., α-SMA, collagens) and drives fibroblast activation | TGF-β1-induced fibroblast activation and ECM production mediated via SMAD2/3 signaling [66] |
| PI3K/AKT | Non-canonical pathway activation | IPF/NSCLC | Promotes cell proliferation, survival, apoptosis resistance, and invasive behavior; contributes to fibrosis and tumor progression | IPF: PI3K–AKT–mTOR signaling mediates EMT and ECM accumulation; NSCLC: pathway activation associated with tumor invasion and progression [67] |
| MAPK (p38/JNK/ERK) | Non-canonical signaling crosstalk with TGF-β | IPF/NSCLC | Enhances fibroblast transdifferentiation, EMT, and pro-fibrotic gene expression | TGF-β1 augments downstream gene expression via p38 and JNK MAPK signaling and PI3K pathway crosstalk [68] |
| Molecular Target/Drug | Mechanism of Action | Disease/Indication | Clinical Stage/NCT | Key References |
|---|---|---|---|---|
| Pirfenidone | Inhibition of TGF-β1 expression and Smad3 signaling | IPF | Marketed/multiple RCTs completed | [72] |
| Nintedanib | Multitarget tyrosine kinase inhibitor | IPF | Marketed | [72] |
| Fresolimumab (GC1008) | Neutralizing monoclonal antibody against TGF-β1/2/3 | IPF/other fibrotic diseases | Phase I/early clinical | [114] |
| TRK-250 | Antisense oligonucleotide targeting TGF-β mRNA | IPF | Phase I | [115] |
| PLN-74809 | Dual αvβ6/αvβ1 integrin inhibitor | IPF | Phase II | [115,116] |
| Galunisertib (LY2157299) | TGF-βR1 (ALK5) kinase inhibitor | IPF/fibrosis | Phase II/early clinical | [114,117] |
| Pamrevlumab (FG-3019) | Anti-CTGF monoclonal antibody (downstream of TGF-β) | IPF | Phase III | [115] |
| Bintrafusp alfa | PD-L1 blockade plus TGF-β trap | NSCLC/solid tumors | Phase I/II | [118] |
| Vactosertib (LY3200882) | Small-molecule TGF-βR1 inhibitor | NSCLC/solid tumors | Phase I/II | [119] |
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Huang, K.-L.; Wang, L.-K.; Tsai, F.-M. TGF-β Signaling as a Pathological Continuum Linking Idiopathic Pulmonary Fibrosis and Lung Cancer. Cells 2026, 15, 480. https://doi.org/10.3390/cells15050480
Huang K-L, Wang L-K, Tsai F-M. TGF-β Signaling as a Pathological Continuum Linking Idiopathic Pulmonary Fibrosis and Lung Cancer. Cells. 2026; 15(5):480. https://doi.org/10.3390/cells15050480
Chicago/Turabian StyleHuang, Kuo-Liang, Lu-Kai Wang, and Fu-Ming Tsai. 2026. "TGF-β Signaling as a Pathological Continuum Linking Idiopathic Pulmonary Fibrosis and Lung Cancer" Cells 15, no. 5: 480. https://doi.org/10.3390/cells15050480
APA StyleHuang, K.-L., Wang, L.-K., & Tsai, F.-M. (2026). TGF-β Signaling as a Pathological Continuum Linking Idiopathic Pulmonary Fibrosis and Lung Cancer. Cells, 15(5), 480. https://doi.org/10.3390/cells15050480

