Interstitial lung diseases with concomitant lung cancer: a data mining approach revealing a complex condition with gender- and immune-associated specific implications
BackgroundInterstitial lung diseases (ILDs) comprise a family of heterogeneous entities, primarily characterised by chronic scarring of the lung parenchyma. Among ILDs, idiopathic pulmonary fibrosis (IPF) is the most common idiopathic interstitial pneumonitis, associated with progressive functional...
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1488157/full |
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| author | Fabio Perrotta Donato Lacedonia Donato Lacedonia Vito D’Agnano Andrea Bianco Giulia Scioscia Giulia Scioscia Pasquale Tondo Pasquale Tondo Maria Pia Foschino Barbaro Maria Pia Foschino Barbaro Francesca Mariani Francesca Mariani Sara Lettieri Sara Lettieri Lucia Del Frate Lucia Del Frate Silvia Mancinelli Silvia Mancinelli Davide Piloni Davide Piloni Tiberio Oggionni Chandra Bortolotto Chandra Bortolotto Laura Carrozzi Isa Cerveri Isa Cerveri Angelo Guido Corsico Angelo Guido Corsico Giulia Maria Stella Giulia Maria Stella |
| author_facet | Fabio Perrotta Donato Lacedonia Donato Lacedonia Vito D’Agnano Andrea Bianco Giulia Scioscia Giulia Scioscia Pasquale Tondo Pasquale Tondo Maria Pia Foschino Barbaro Maria Pia Foschino Barbaro Francesca Mariani Francesca Mariani Sara Lettieri Sara Lettieri Lucia Del Frate Lucia Del Frate Silvia Mancinelli Silvia Mancinelli Davide Piloni Davide Piloni Tiberio Oggionni Chandra Bortolotto Chandra Bortolotto Laura Carrozzi Isa Cerveri Isa Cerveri Angelo Guido Corsico Angelo Guido Corsico Giulia Maria Stella Giulia Maria Stella |
| author_sort | Fabio Perrotta |
| collection | DOAJ |
| description | BackgroundInterstitial lung diseases (ILDs) comprise a family of heterogeneous entities, primarily characterised by chronic scarring of the lung parenchyma. Among ILDs, idiopathic pulmonary fibrosis (IPF) is the most common idiopathic interstitial pneumonitis, associated with progressive functional decline leading to respiratory failure, a high symptom burden, and mortality. Notably, the incidence of lung cancer (LC) in patients already affected by ILDs—mainly IPF—is significantly higher than in the general population. Moreover, these cases are often neglected and deprived of active oncologic treatments.MethodsWe here aim to identify variables predictive of outcome (mortality) in a multicentre retrospective cohort of ILD associated with lung cancer, collected from 2018 to the end of 2023. Overall, 73 cases were identified, and exhaustive clinicopathologic data were available for 55 patients. Among them, 42 had IPF. The entire dataset was then analysed by using the JMP partition algorithm (JMP-Statistical Discoveries, from SAS), which can choose the optimum splits from many possible trees, making it a powerful modelling and data discovery tool.ResultsThe average age at lung cancer diagnosis was 71.4 years, whereas the average age at IPF diagnosis was 69.5 years. The average Charlson Comorbidity Index was 4.6. Female patients constituted 28.3% (15) of the evaluated cases. The most frequent tumour histotype was adenocarcinoma (45.2%), and in more than 60% of the cases (67.9%), cancer was diagnosed at an early stage (TNM I–II–IIIA). A significant gender difference emerges regarding the overall patient survival, and quite unexpectedly, surgical approach to IPF-associated LC and the detection of serum autoantibodies are among the strongest outcome predictors.ConclusionsThe analysis performed is descriptive and successfully identifies key features of this specific and rare cancer population. IPF-associated LC emerges as a unique malignant disease defined by specific gender and histopathologic clinical and molecular parameters, which might benefit from active treatments. |
| format | Article |
| id | doaj-art-2b55cccb2b764f03a1645ac82ddaeb65 |
| institution | Kabale University |
| issn | 2234-943X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Oncology |
| spelling | doaj-art-2b55cccb2b764f03a1645ac82ddaeb652024-12-17T05:10:21ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2024-12-011410.3389/fonc.2024.14881571488157Interstitial lung diseases with concomitant lung cancer: a data mining approach revealing a complex condition with gender- and immune-associated specific implicationsFabio Perrotta0Donato Lacedonia1Donato Lacedonia2Vito D’Agnano3Andrea Bianco4Giulia Scioscia5Giulia Scioscia6Pasquale Tondo7Pasquale Tondo8Maria Pia Foschino Barbaro9Maria Pia Foschino Barbaro10Francesca Mariani11Francesca Mariani12Sara Lettieri13Sara Lettieri14Lucia Del Frate15Lucia Del Frate16Silvia Mancinelli17Silvia Mancinelli18Davide Piloni19Davide Piloni20Tiberio Oggionni21Chandra Bortolotto22Chandra Bortolotto23Laura Carrozzi24Isa Cerveri25Isa Cerveri26Angelo Guido Corsico27Angelo Guido Corsico28Giulia Maria Stella29Giulia Maria Stella30Department of Translational Medical Sciences, University of Campania “L. Vanvitelli”, Napoli, ItalyDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, ItalyDepartment of Specialist Medicine, Institute of Respiratory Diseases, University-Hospital Polyclinic “Riuniti”, Foggia, ItalyDepartment of Translational Medical Sciences, University of Campania “L. Vanvitelli”, Napoli, ItalyDepartment of Translational Medical Sciences, University of Campania “L. Vanvitelli”, Napoli, ItalyDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, ItalyDepartment of Specialist Medicine, Institute of Respiratory Diseases, University-Hospital Polyclinic “Riuniti”, Foggia, ItalyDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, ItalyDepartment of Specialist Medicine, Institute of Respiratory Diseases, University-Hospital Polyclinic “Riuniti”, Foggia, ItalyDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, ItalyDepartment of Specialist Medicine, Institute of Respiratory Diseases, University-Hospital Polyclinic “Riuniti”, Foggia, ItalyDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, ItalyCardiothoracic and Vascular Department, Unit of Respiratory Diseases, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, ItalyDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, ItalyCardiothoracic and Vascular Department, Unit of Respiratory Diseases, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, ItalyDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, ItalyCardiothoracic and Vascular Department, Unit of Respiratory Diseases, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, ItalyDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, ItalyCardiothoracic and Vascular Department, Unit of Respiratory Diseases, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, ItalyDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, ItalyCardiothoracic and Vascular Department, Unit of Respiratory Diseases, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, ItalyDepartment of Medical Sciences, Unit of Pneumology, Azienda Socio-sanitaria Territoriale (ASST) Crema, Crema, ItalyDiagnostic Imaging and Radiotherapy Unit, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia Medical School, Pavia, ItalyRadiology Institute, Fondazione Istituto di Ricovero e Cura a carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, ItalyDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, ItalyDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, ItalyCardiothoracic and Vascular Department, Unit of Respiratory Diseases, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, ItalyDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, ItalyCardiothoracic and Vascular Department, Unit of Respiratory Diseases, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, ItalyDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, ItalyCardiothoracic and Vascular Department, Unit of Respiratory Diseases, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Policlinico San Matteo, Pavia, ItalyBackgroundInterstitial lung diseases (ILDs) comprise a family of heterogeneous entities, primarily characterised by chronic scarring of the lung parenchyma. Among ILDs, idiopathic pulmonary fibrosis (IPF) is the most common idiopathic interstitial pneumonitis, associated with progressive functional decline leading to respiratory failure, a high symptom burden, and mortality. Notably, the incidence of lung cancer (LC) in patients already affected by ILDs—mainly IPF—is significantly higher than in the general population. Moreover, these cases are often neglected and deprived of active oncologic treatments.MethodsWe here aim to identify variables predictive of outcome (mortality) in a multicentre retrospective cohort of ILD associated with lung cancer, collected from 2018 to the end of 2023. Overall, 73 cases were identified, and exhaustive clinicopathologic data were available for 55 patients. Among them, 42 had IPF. The entire dataset was then analysed by using the JMP partition algorithm (JMP-Statistical Discoveries, from SAS), which can choose the optimum splits from many possible trees, making it a powerful modelling and data discovery tool.ResultsThe average age at lung cancer diagnosis was 71.4 years, whereas the average age at IPF diagnosis was 69.5 years. The average Charlson Comorbidity Index was 4.6. Female patients constituted 28.3% (15) of the evaluated cases. The most frequent tumour histotype was adenocarcinoma (45.2%), and in more than 60% of the cases (67.9%), cancer was diagnosed at an early stage (TNM I–II–IIIA). A significant gender difference emerges regarding the overall patient survival, and quite unexpectedly, surgical approach to IPF-associated LC and the detection of serum autoantibodies are among the strongest outcome predictors.ConclusionsThe analysis performed is descriptive and successfully identifies key features of this specific and rare cancer population. IPF-associated LC emerges as a unique malignant disease defined by specific gender and histopathologic clinical and molecular parameters, which might benefit from active treatments.https://www.frontiersin.org/articles/10.3389/fonc.2024.1488157/fullinterstitial lung diseasesidiopathic pulmonary fibrosislung cancerpredictorsgender |
| spellingShingle | Fabio Perrotta Donato Lacedonia Donato Lacedonia Vito D’Agnano Andrea Bianco Giulia Scioscia Giulia Scioscia Pasquale Tondo Pasquale Tondo Maria Pia Foschino Barbaro Maria Pia Foschino Barbaro Francesca Mariani Francesca Mariani Sara Lettieri Sara Lettieri Lucia Del Frate Lucia Del Frate Silvia Mancinelli Silvia Mancinelli Davide Piloni Davide Piloni Tiberio Oggionni Chandra Bortolotto Chandra Bortolotto Laura Carrozzi Isa Cerveri Isa Cerveri Angelo Guido Corsico Angelo Guido Corsico Giulia Maria Stella Giulia Maria Stella Interstitial lung diseases with concomitant lung cancer: a data mining approach revealing a complex condition with gender- and immune-associated specific implications Frontiers in Oncology interstitial lung diseases idiopathic pulmonary fibrosis lung cancer predictors gender |
| title | Interstitial lung diseases with concomitant lung cancer: a data mining approach revealing a complex condition with gender- and immune-associated specific implications |
| title_full | Interstitial lung diseases with concomitant lung cancer: a data mining approach revealing a complex condition with gender- and immune-associated specific implications |
| title_fullStr | Interstitial lung diseases with concomitant lung cancer: a data mining approach revealing a complex condition with gender- and immune-associated specific implications |
| title_full_unstemmed | Interstitial lung diseases with concomitant lung cancer: a data mining approach revealing a complex condition with gender- and immune-associated specific implications |
| title_short | Interstitial lung diseases with concomitant lung cancer: a data mining approach revealing a complex condition with gender- and immune-associated specific implications |
| title_sort | interstitial lung diseases with concomitant lung cancer a data mining approach revealing a complex condition with gender and immune associated specific implications |
| topic | interstitial lung diseases idiopathic pulmonary fibrosis lung cancer predictors gender |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2024.1488157/full |
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