Common molecular pathways targeted by nintedanib in cancer and IPF: A bioinformatic study

Lung cancer with comorbid interstitial pneumonia: Current situation and animal model development

Interstitial pneumonia includes a range of disorders affecting the lung interstitium, significantly impacting life expectancy, especially during acute exacerbations. Concurrently, lung cancer remains a leading cause of cancer-related deaths worldwide. The coexistence of these two conditions presents a formidable challenge, complicating diagnosis, treatment, and prognosis. This review explores the critical issues associated with lung cancer comorbid with interstitial pneumonia, focusing on diagnostic challenges, prognosis, treatment complications, and the lack of effective research tools. Diagnosing lung cancer in patients with interstitial pneumonia is complicated due to overlapping imaging features and the risks associated with biopsies. The prognosis is poorer for patients with both conditions, as interstitial pneumonia promotes a more aggressive lung cancer phenotype. Standard treatment for interstitial pneumonia can inadvertently facilitate lung cancer progression, while anticancer therapies often exacerbate interstitial pneumonia. To address the lack of appropriate research tools, a novel murine model combining orthotopic lung cancer cell transplantation with bleomycin-induced interstitial pneumonia was developed to better understand their interaction. This new murine model successfully mimics the human condition, demonstrating increased tumor growth, metastasis, and alterations in the tumor microenvironment, including elevated tumor-associated macrophages, cancer-associated myofibroblasts, and regulatory T cells, alongside decreased cytotoxic T lymphocytes. Lung cancer comorbid with interstitial pneumonia represents a severe clinical challenge due to diagnostic difficulties and treatment-related complications. The novel murine model offers a valuable tool for future research to develop effective therapies. Dedicated efforts are needed to address this complex pathophysiology to improve patient outcomes.

Bioinformatics analysis based on extracted ingredients combined with network pharmacology, molecular docking and molecular dynamics simulation to explore the mechanism of Jinbei oral liquid in the therapy of idiopathic pulmonary fibrosis

Objective

Jinbei oral liquid (JBOL), which is derived from a traditional hospital preparation, is frequently utilized to treat idiopathic pulmonary fibrosis (IPF) and has shown efficacy in clinical therapy. However, there are now several obstacles facing the mechanism inquiry, including target proteins, active components, and the binding affinity between crucial compounds and target proteins. To gain additional insight into the mechanisms underlying JBOL in anti-IPF, this study used bioinformation technologies, including network pharmacology, molecular docking, and molecular dynamic simulation, with a substantial amount of data based on realistic constituents.

Methods

Using network pharmacology, we loaded 118 realistic compounds into the SwissTargetPrediction and SwissADME databases and screened the active compounds and target proteins. IPF-related targets were collected from the OMIM, DisGeNET, and GeneCards databases, and the network of IPF-active constituents was built with Cytoscape 3.10.1. The GO and KEGG pathway enrichment analyses were carried out using Metascape, and the protein-protein interaction (PPI) network was constructed to screen the key targets with the STRING database. Finally, the reciprocal affinity between the active molecules and the crucial targets was assessed through the use of molecular docking and molecular dynamics simulation.

Results

A total of 122 targets and 34 tested active compounds were summarized in this investigation. Among these, kaempferol, apigenin, baicalein were present in high degree. PPI networks topological analysis identified eight key target proteins. AGE-RAGE, EGFR, and PI3K-Akt signaling pathways were found to be regulated during the phases of cell senescence, inflammatory response, autophagy, and immunological response in anti-IPF of JBOL. It was verified by molecular docking and molecular dynamics simulation that the combining way and binding energy between active ingredients and selected targets.

Conclusions

This work forecasts the prospective core ingredients, targets, and signal pathways of JBOL in anti-IPF, which has confirmed the multiple targets and pathways of JBOL in anti-IPF and provided the first comprehensive assessment with bioinformatic approaches. With empirical backing and an innovative approach to the molecular mechanism, JBOL is being considered as a potential new medication.

Radioproteomics stratifies molecular response to antifibrotic treatment in pulmonary fibrosis

Antifibrotic therapy with nintedanib is the clinical mainstay in the treatment of progressive fibrosing interstitial lung disease (ILD). High-dimensional medical image analysis, known as radiomics, provides quantitative insights into organ-scale pathophysiology, generating digital disease fingerprints. Here, we performed an integrative analysis of radiomic and proteomic profiles (radioproteomics) to assess whether changes in radiomic signatures can stratify the degree of antifibrotic response to nintedanib in (experimental) fibrosing ILD. Unsupervised clustering of delta radiomic profiles revealed 2 distinct imaging phenotypes in mice treated with nintedanib, contrary to conventional densitometry readouts, which showed a more uniform response. Integrative analysis of delta radiomics and proteomics demonstrated that these phenotypes reflected different treatment response states, as further evidenced on transcriptional and cellular levels. Importantly, radioproteomics signatures paralleled disease- and drug-related biological pathway activity with high specificity, including extracellular matrix (ECM) remodeling, cell cycle activity, wound healing, and metabolic activity. Evaluation of the preclinical molecular response-defining features, particularly those linked to ECM remodeling, in a cohort of nintedanib-treated fibrosing patients with ILD, accurately stratified patients based on their extent of lung function decline. In conclusion, delta radiomics has great potential to serve as a noninvasive and readily accessible surrogate of molecular response phenotypes in fibrosing ILD. This could pave the way for personalized treatment strategies and improved patient outcomes.

Nintedanib-loaded exosomes from adipose-derived stem cells inhibit pulmonary fibrosis induced by bleomycin

BACKGROUND

Pulmonary fibrosis (PF) is a progressive lung disorder with a high mortality rate; its therapy remains limited due to the inefficiency of drug delivery. In this study, the system of drug delivery of nintedanib (Nin) by exosomes derived from adipose-derived stem cells (ADSCs-Exo, Exo) was developed to effectively deliver Nin to lung lesion tissue to ensure enhanced anti-fibrosis therapy.

METHODS

The bleomycin (BLM)-induced PF model was constructed in vivo and in vitro. The effects of Exo-Nin on BLM-induced PF and its regulatory mechanism were examined using RT-qPCR, Western blotting, immunofluorescence, and H&E staining.

RESULTS

We found Exo-Nin significantly improved BLM-induced PF in vivo and in vitro compared to Nin and Exo groups alone. Mechanistically, Exo-Nin alleviated fibrogenesis by suppressing endothelial-mesenchymal transition through the down-regulation of the TGF-β/Smad pathway and the attenuation of oxidative stress in vivo and in vitro.

CONCLUSIONS

Utilizing adipose stem cell-derived exosomes as carriers for Nin exhibited a notable enhancement in therapeutic efficacy. This improvement can be attributed to the regenerative properties of exosomes, indicating promising prospects for adipose-derived exosomes in cell-free therapies for PF.

IMPACT

The system of drug delivery of nintedanib (Nin) by exosomes derived from adipose-derived stem cells was developed to effectively deliver Nin to lung lesion tissue to ensure enhanced anti-fibrosis therapy. The use of adipose stem cell-derived exosomes as the carrier of Nin may increase the therapeutic effect of Nin, which can be due to the regenerative properties of the exosomes and indicate promising prospects for adipose-derived exosomes in cell-free therapies for PF.

Nintedanib in systemic sclerosis treatment: a case report

BACKGROUND

Nintedanib was approved for the treatment of scleroderma and scleroderma-related interstitial lung disease, as it decrease the forced expiratory volume.

CASE PRESENTATION

A 48-year-old Asian female patient with systemic scleroderma 6 years ago developed breathlessness, nausea, heart palpation, and sudden severe occipital headache over the preceding week. She was receiving aspirin 81 mg/day and amlodipine 5 mg/day. Her diagnosis was diffuse scleroderma with pulmonary hypertension, interstitial lung involvement, and renal crisis. The modified Rodnan score was 18. We begin captopril at a dose of 12.5 mg, progressively escalating to 200 mg/day, and oral nintedanib was started at 150 mg. A total of 12 months after initiation of treatment, the patient's kidney function was normal. The pulmonary function tests improved. The modified Rodnan score was reduced to 10. We did not encounter any side effects in our case due to nintedanib treatment.

CONCLUSION

Treatment with nintedanib is crucial for slowing lung function decline. Diarrhea was the most common adverse event. Scleroderma renal crisis occurs in 10% of patients and typically presents with an abrupt onset of hypertension and kidney failure. The optimal antihypertensive agent for scleroderma renal crisis is an ACE inhibitor. The mainstay of therapy in scleroderma renal crisis has been shown to improve or stabilize renal function in approximately 70% of patients and improve survival in nearly 80% at 1 year. Nintedanib may be effective, and fairly safe to use. Further exploration is anticipated to advance a new period of systemic sclerosis treatment.

Predictive biomarkers of disease progression in idiopathic pulmonary fibrosis

Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial disease that cannot be cured, and treatment options for IPF are very limited. Early diagnosis, close monitoring of disease progression, and timely treatment are therefore the best options for patients due to the irreversibility of IPF. Effective markers help doctors judge the development and prognosis of disease. Recent research on traditional biomarkers (KL-6, SP-D, MMP-7, TIMPs, CCL18) has provided novel ideas for predicting disease progression and prognosis. Some emerging biomarkers (HE4, GDF15, PRDX4, inflammatory cells, G-CSF) also provide more possibilities for disease prediction. In addition to markers in serum and bronchoalveolar lavage fluid (BALF), some improvements related to the GAP model and chest HRCT also show good predictive ability for disease prognosis.

New advances in the research of clinical treatment and novel anticancer agents in tumor angiogenesis

In 1971, Folkman proposed that tumors could be limited to very small sizes by blocking angiogenesis. Angiogenesis is the generation of new blood vessels from pre-existing vessels, considered to be one of the important processes in tumor growth and metastasis. Angiogenesis is a complex process regulated by various factors and involves many secreted factors and signaling pathways. Angiogenesis is important in the transport of oxygen and nutrients to the tumor during tumor development. Therefore, inhibition of angiogenesis has become an important strategy in the clinical management of many solid tumors. Combination therapies of angiogenesis inhibitors with radiotherapy and chemotherapy are often used in clinical practice. In this article, we will review common targets against angiogenesis, the most common and up-to-date anti-angiogenic drugs and clinical treatments in recent years, including active ingredients from chemical and herbal medicines.

BAL Proteomic Signature of Lung Adenocarcinoma in IPF Patients and Its Transposition in Serum Samples for Less Invasive Diagnostic Procedures

Idiopathic pulmonary fibrosis (IPF) is a form of chronic and irreversible fibrosing interstitial pneumonia of unknown etiology. Although antifibrotic treatments have shown a reduction of lung function decline and a slow disease progression, IPF is characterize by a very high mortality. Emerging evidence suggests that IPF increases the risk of lung carcinogenesis. Both diseases show similarities in terms of risk factors, such as history of smoking, concomitant emphysema, and viral infections, besides sharing similar pathogenic pathways. Lung cancer (LC) diagnosis is often difficult in IPF patients because of the diffuse lung injuries and abnormalities due to the underlying fibrosis. This is reflected in the lack of optimal therapeutic strategies for patients with both diseases. For this purpose, we performed a proteomic study on bronchoalveolar lavage fluid (BALF) samples from IPF, LC associated with IPF (LC-IPF) patients, and healthy controls (CTRL). Molecular pathways involved in inflammation, immune response, lipid metabolism, and cell adhesion were found for the dysregulated proteins in LC-IPF, such as TTHY, APOA1, S10A9, RET4, GDIR1, and PROF1. The correlation test revealed a relationship between inflammation- and lipid metabolism-related proteins. PROF1 and S10A9, related to inflammation, were up-regulated in LC-IPF BAL and serum, while APOA1 and APOE linked to lipid metabolism, were highly abundant in IPF BAL and low abundant in IPF serum. Given the properties of cytokine/adipokine of the nicotinamide phosphoribosyltransferase, we also evaluated its serum abundance, highlighting its down-regulation in LC-IPF. Our retrospective analyses of BAL samples extrapolated some potential biomarkers of LC-IPF useful to improve the management of these contemporary pathologies. Their differential abundance in serum samples permits the measurement of these potential biomarkers with a less invasive procedure.

Pulmonary Fibrosis as a Result of Acute Lung Inflammation: Molecular Mechanisms, Relevant In Vivo Models, Prognostic and Therapeutic Approaches

Pulmonary fibrosis is a chronic progressive lung disease that steadily leads to lung architecture disruption and respiratory failure. The development of pulmonary fibrosis is mostly the result of previous acute lung inflammation, caused by a wide variety of etiological factors, not resolved over time and causing the deposition of fibrotic tissue in the lungs. Despite a long history of study and good coverage of the problem in the scientific literature, the effective therapeutic approaches for pulmonary fibrosis treatment are currently lacking. Thus, the study of the molecular mechanisms underlying the transition from acute lung inflammation to pulmonary fibrosis, and the search for new molecular markers and promising therapeutic targets to prevent pulmonary fibrosis development, remain highly relevant tasks. This review focuses on the etiology, pathogenesis, morphological characteristics and outcomes of acute lung inflammation as a precursor of pulmonary fibrosis; the pathomorphological changes in the lungs during fibrosis development; the known molecular mechanisms and key players of the signaling pathways mediating acute lung inflammation and pulmonary fibrosis, as well as the characteristics of the most common in vivo models of these processes. Moreover, the prognostic markers of acute lung injury severity and pulmonary fibrosis development as well as approved and potential therapeutic approaches suppressing the transition from acute lung inflammation to fibrosis are discussed.

[Research Progress on the Pathogenesis of Lung Cancer Associated with Idiopathic Pulmonary Fibrosis]

Idiopathic pulmonary fibrosis (IPF) is the most common interstitial lung disease (ILD) of unknown causes, which is characterized by pulmonary fibrosis. The median survival period after diagnosis is about 2-4 years. In recent years, the incidence rate of lung cancer associated with IPF (IPF-LC) is increasing, and the prognosis is worse than that of IPF alone. Pulmonary fibrosis may be closely associated with the occurrence and development of lung cancer. Although the pathogenesis of IPF-LC is still unclear, the current research shows that there are similarities between the pathogenesis of these two diseases at molecular and cellular levels. At present, the research on the cellular and molecular mechanism of lung cancer related to pulmonary fibrosis has become the focus of researchers' attention. This article reviews the related literature, focusing on the latest status of the cellular and molecular mechanisms and treatment of IPF-LC, hoping to help clinicians understand IPF-LC.
.

Tocotrienol-Rich Fractions Offer Potential to Suppress Pulmonary Fibrosis Progression

Although pulmonary fibrosis (PF) is considered a rare disease, the incidence thereof has increased steadily in recent years, while a safe and effective cure remains beyond reach. In this study, the potential of tocotrienol-rich fractions (TRF) and carotene to alleviate PF was explored. PF was induced in Sprague-Dawley rats via a single intratracheal bleomycin (BLM) (5 mg/kg) instillation. These rats were subsequently treated with TRF, carotene, pirfenidone (Pir) and nintedanib (Nin) for 28 days via gavage administration, whereafter histopathological performance, biochemical functions and molecular alterations were studied in the lung tissues. Our results showed that TRF, carotene, Nin and Pir all ameliorated PF by reducing inflammation and resisting oxidative stress to varying degrees. The related mechanisms involved the TGF-β1/Smad, PI3K/Akt and NF-κB signaling pathways. Ultimately, our findings revealed that, when combined with TRF, the therapeutic effects of Nin and Pir on PF were enhanced, indicating that TRF may, indeed, provide promising potential for use in combination therapy in the treatment of PF.

Integrated multicomponent analysis based on UHPLC-Q-Exactive Orbitrap-MS and network pharmacology to elucidate the potential mechanism of Baoyuan decoction against idiopathic pulmonary fibrosis

INTRODUCTION

Idiopathic pulmonary fibrosis (IPF) is a serious lung disease with a high mortality rate. Baoyuan decoction (BYD), a classic medicinal food homology recipe, has anti-apoptotic effects, enhances immune function, and alleviates fibrosis, suggesting that it may be a potential therapeutic drug for IPF.

OBJECTIVES

We aimed to identify the main active ingredients of BYD, determine the basis of its efficacy, prove its anti-IPF effects, and explore the mechanisms underlying its anti-IPF effects.

MATERIALS AND METHODS

In this study, the active components of BYD were detected and analysed by ultra-high-performance liquid chromatography coupled with hybrid quadrupole Orbitrap mass spectrometry (UHPLC-Q-Exactive Orbitrap-MS). A network pharmacology analysis was performed to determine the potential targets and relevant pathways of BYD in treating IPF. Western blotting and quantitative real-time polymerase chain reaction (qPCR) were conducted to verify the efficacy of BYD against IPF. Finally, molecular docking and qPCR were performed to identify the central targets of BYD.

RESULTS

A total of 39 components of BYD were identified. After performing the network pharmacology analysis, 35 active components and eight presumptive targets of BYD were found to play a central role in its anti-IPF effects. The molecular docking results indicated that most of the active components of BYD exhibited good binding activity with these eight central target proteins. In addition, the expression of collagen, α-SMA, and these eight targets in human pulmonary fibroblast (HPF) cells was suppressed from treatment with BYD.

CONCLUSION

This study determined the efficacy of BYD against IPF and clarified its multiple-target and multiple-pathway mechanisms. Furthermore, the study also provides a new method for exploring the chemical and pharmacological bases of other traditional Chinese medicine (TCM).

First Attempt to Couple Proteomics with the AhR Reporter Gene Bioassay in Soil Pollution Monitoring and Assessment

A topsoil sample obtained from a highly industrialized area (Taranto, Italy) was tested on the DR-CALUX^® cell line and the exposed cells processed with proteomic and bioinformatics analyses. The presence of polyhalogenated compounds in the topsoil extracts was confirmed by GC-MS/MS analysis. Proteomic analysis of the cells exposed to the topsoil extracts identified 43 differential proteins. Enrichment analysis highlighted biological processes, such as the cellular response to a chemical stimulus, stress, and inorganic substances; regulation of translation; regulation of apoptotic process; and the response to organonitrogen compounds in light of particular drugs and compounds, extrapolated by bioinformatics all linked to the identified protein modifications. Our results confirm and reflect the complex epidemiological situation occurring among Taranto inhabitants and underline the need to further investigate the presence and sources of inferred chemicals in soils. The combination of bioassays and proteomics reveals a more complex scenario of chemicals able to affect cellular pathways and leading to toxicities rather than those identified by only bioassays and related chemical analysis. This combined approach turns out to be a promising tool for soil risk assessment and deserves further investigation and developments for soil monitoring and risk assessment.

Bioinformatic analysis of differentially expressed genes and pathways in idiopathic pulmonary fibrosis

Background

Using bioinformatic methods to explore the differentially expressed genes (DEGs) of human idiopathic pulmonary fibrosis (IPF) and to elucidate the pathogenesis of IPF from the genetic level.

Methods

The GSE110147 gene expression profile was downloaded from the GEO database. The data of lung adenocarcinoma (LUAD) samples, lung squamous cell carcinoma (LUSC) samples and normal samples were downloaded from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. DEGs between IPF patients and healthy donors were analyzed using the GEO2R tool. Use the "clusterprofiler" package in R software to perform gene ontology (GO) and KEGG pathway enrichment analysis, and then perform function annotation and protein-protein interaction (PPI) network construction in the STRING online tool. The Genome Browser tool of the university of california santa cruz (UCSC) online website was used to predict transcription factors (TFs) of genes. In the final, the results were analyzed synthetically.

Results

A total of 9,183 DEGs were identified, of which 4,545 genes were down-regulated, and 4638 were up-regulated. MMP1, SPP1, and BPIFB1 were the top three DEGs with the highest significant up-regulation. These DEGs played an important role in the occurrence of IPF through the MAPK (mitogen-activated protein kinase) signaling pathway. Furthermore, 50 DEGs were enriched in the expression of PD-L1 and the PD-1 checkpoint pathway in cancer, of which 11 genes were re-enriched in the pathway of non-small cell lung cancer. The expression of the 11 genes were extensively regulated by CTCFL, SP2 and ZNF341. Most of them were differentially expressed between lung cancers and normal lung tissues. The overall survival (OS) curve of LUAD were significantly stratified by AKT2, KRAS, PIK3R1, meanwhile the OS curve of LUAC was significantly stratified by MAPK3.

Conclusions

Bioinformatics analysis revealed that DEGs including MPP1 might be potential targets and biomarkers of IPF, and the MAPK signaling pathway is related to the occurrence and development of IPF. The development of IPF lung cancer complications may be related to the activation of genes enriched in PD-L1 expression and PD-1 checkpoint pathway, which provides clues to the pathogenesis of IPF combined with lung cancer.

IPF-Fibroblast Erk1/2 Activity Is Independent from microRNA Cluster 17-92 but Can Be Inhibited by Treprostinil through DUSP1

Idiopathic pulmonary fibrosis (IPF) is a progressive terminal lung disease, and therapies aim to block fibrosis. Fibroblast proliferation is controlled by C/EBP-β, microRNA cluster 17-92 (miR17-92), and Erk1/2 mitogen-activated protein kinase. This study assessed the role of miR17-92 in IPF-fibroblast proliferation and its modification by treprostinil. Fibroblasts were isolated from eight IPF patients, five interstitial lung fibrosis patients, and seven control lungs. Fibroblasts were stimulated with TGF-β1 over 24 h. The miR17-92 expression was analyzed by RT-qPCR, and protein expression by Western blotting. TGF-β1 upregulated C/EBP-β in all fibroblasts, which was reduced by treprostinil in control-fibroblasts, but not in IPF-fibroblasts. Compared to controls, the guide strands miR-19a-3p, miR-19b-3p, miR-20a-5p, and miR-92a-3p, as well as the passenger strands miR-17-3p, miR-18-3p, miR-19a-1-5p, and miR-92a-5p were significantly increased in IPF-fibroblasts. In controls, TGF-β1 and treprostinil significantly reduced specific miR17-92 members. IPF-fibroblast proliferation was inhibited by treprostinil through increased expression of the Erk1/2 inhibitor DUSP1. These data suggest that proliferation control via miR17-92 and C/EBP-β is disrupted in IPF-fibroblasts. Therefore, the inhibition of early stages of signaling cascades or specific mitogen receptors might be less effective. However, the increased proliferation is sensitive to Erk1/2 inhibition by treprostinil-induced DUSP1.

Differential redox proteomic profiles of serum from severe asthma patients after one month of benralizumab and mepolizumab treatment

Mepolizumab and Benralizumab are biological drugs for severe asthma patients able to reduce moderate-to-severe exacerbation rate (peripheral eosinophilial % mepolizumab 1.6 ± 1.2; benralizumab 0; p < 0.0001), improving the quality of life and lung function parameters (FEV1%: mepolizumab 87.1 ± 21.5; benralizumab 89.7 ± 15, p < 0.04). Here we report a preliminary redox proteomic study highlighting the level of oxidative burst present in serum from patients before and after one month of both treatments. Our results highlighted apolipoprotein A1 oxidation after Mepolizumab treatment, that could be related to HDL functionality and could represent a potential biomarker for the treatment. On the other hand, after one month of Benralizumab we detected higher oxidation levels of ceruloplasmin and transthyretin, considered an important oxidative stress biomarker which action help to maintain redox homeostasis.

Proteome Characterization of BALF Extracellular Vesicles in Idiopathic Pulmonary Fibrosis: Unveiling Undercover Molecular Pathways

In the longtime challenge of identifying specific, easily detectable and reliable biomarkers of IPF, BALF proteomics is providing interesting new insights into its pathogenesis. To the best of our knowledge, the present study is the first shotgun proteomic investigation of EVs isolated from BALF of IPF patients. Our main aim was to characterize the proteome of the vesicular component of BALF and to explore its individual impact on the pathogenesis of IPF. To this purpose, ultracentrifugation was chosen as the EVs isolation technique, and their purification was assessed by TEM, 2DE and LC-MS/MS. Our 2DE data and scatter plots showed considerable differences between the proteome of EVs and that of whole BALF and of its fluid component. Analysis of protein content and protein functions evidenced that EV proteins are predominantly involved in cytoskeleton remodeling, adenosine signaling, adrenergic signaling, C-peptide signaling and lipid metabolism. Our findings may suggest a wider system involvement in the disease pathogenesis and support the importance of pre-fractioning of complex samples, such as BALF, in order to let low-abundant proteins-mediated pathways emerge.

Immune Stroma in Lung Cancer and Idiopathic Pulmonary Fibrosis: A Common Biologic Landscape?

Idiopathic pulmonary fibrosis (IPF) identifies a specific entity characterized by chronic, progressive fibrosing interstitial pneumonia of unknown cause, still lacking effective therapies. Growing evidence suggests that the biologic processes occurring in IPF recall those which orchestrate cancer onset and progression and these findings have already been exploited for therapeutic purposes. Notably, the incidence of lung cancer in patients already affected by IPF is significantly higher than expected. Recent advances in the knowledge of the cancer immune microenvironment have allowed a paradigm shift in cancer therapy. From this perspective, recent experimental reports suggest a rationale for immune checkpoint inhibition in IPF. Here, we recapitulate the most recent knowledge on lung cancer immune stroma and how it can be translated into the IPF context, with both diagnostic and therapeutic implications.

Serum Concentrations of KL-6 in Patients with IPF and Lung Cancer and Serial Measurements of KL-6 in IPF Patients Treated with Antifibrotic Therapy

Simple Summary

Evaluation of the prognostic significance of serial measurements of serum concentrations of Krebs von den Lungen-6 (KL-6) showed that an annual increment in KL-6 exceeding a threshold amount was an independent risk factor for progressive disease and poor prognosis. No literature data are available on long-term KL-6 measurements in the follow-up of IPF patients treated with Nintedanib. The aim of this study is to serially analyze KL-6 in idiopathic pulmonary fibrosis (IPF) patients after 24 months of Nintedanib and to investigate its biomarker potential in patients with IPF and lung cancer with respect to fibrotic hypersensitivity pneumonitis patients, pulmonary fibrosis associated with autoimmune diseases group and healthy controls.

Abstract

Background: Krebs von den Lungen-6 (KL-6) was suggested as ILD biomarker including idiopathic pulmonary fibrosis (IPF). Lung cancer is one of the most severe comorbidity of IPF patients. This study aims to serially analyze KL-6 in IPF patients after 24 months of Nintedanib and to first investigate the biomarker behavior in IPF associated with adenocarcinoma. Materials and methods: One hundred and forty-two ILD patients (median (IQR), 69 (63–75) years; 86 males) were retrospectively enrolled. Serial serum samples were collected from IPF patients before starting antifibrotic therapy and after 12 months. Serum KL-6 levels were measured by KL-6 reagent assay (Fujirebio Europe, UK). Results: Increased KL-6 concentrations were identified in IPF-LC patients than IPF, fibrotic hypersensitivity pneumonitis, and pulmonary fibrosis associated with autoimmune disease groups. A cut-off value was calculated to distinguish IPF and IPF-LC patients. IPF patients monitored for 24 months with Nintedanib showed persisted increased levels of KL-6 with a progressive decline of FVC percentages. Conclusion: This preliminary study offers a first demonstration that very high serum concentrations of KL-6 in IPF-LC patients are associated with poor prognosis. Moreover, serial evaluation of serum KL-6 in IPF patients over 24 months of Nintedanib treatment revealed that most patients experienced a stabilization of lung function parameters and of serum concentrations of KL-6.

Utility of serological biomarker' panels for diagnostic accuracy of interstitial lung diseases

Interstitial lung diseases (ILD) are a heterogeneous group of illnesses of known and unknown aetiology. Differential diagnosis among the three disorders is often challenging. Specific biomarkers with good sensitivity and specificity are therefore needed to predict clinical outcome and guide clinical decisions. The aim of this study was to investigate inflammatory/fibrotic biomarkers, to determine whether single mediators or panels of mediators could be useful to stratify patients into three distinct domains: sarcoidosis, idiopathic pulmonary fibrosis (IPF) and chronic hypersensitivity pneumonitis (cHP). A total of 163 ILD patients monitored at Siena Referral Centre for Sarcoidosis and other Interstitial Lung Diseases were enrolled in the study. Clinical data, pulmonary function tests and biochemical analytes were retrospectively collected. SAA levels were detected by ELISA kit and Krebs von den Lungen 6 (KL-6) were measured by CLEIA method, for sarcoidosis, cHP and IPF patients. Multiple comparison analysis showed significant differences in C reactive protein (CRP), white blood cell count (WBC) and creatinine levels between the three groups. In the logistic regression model, KL-6, CRP and WBC showed areas under curves (AUC) 0.86, for sarcoidosis diagnosis. The logistic regression model KL-6 and SAA showed the best performance with an AUC 0.81 for discriminating IPF than cHP and sarcoidosis. For differential diagnosis of IPF and cHP, KL-6 and SAA were considered in the logistic regression model, showed an AUC 0.79. The combination of serum biomarkers proposed here offers insights into the pathobiology of ILDs. These panels of bioindicators will improve diagnostic accuracy and will be useful in the clinical management of ILDs.