Comparison of Clinical and Genetic Characteristics Between Younger and Older Lung Cancer Patients

[Display omitted] The aim of this study was to analyze the clinical and genetic characteristics of young lung cancer cases, and to compare them with those of older cases. We used the Thoracic Tumors Registry (TTR) as a data source representative of lung cancer cases diagnosed in Spain, and included...

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Published inArchivos de bronconeumología (English ed.) Vol. 60; no. 2; pp. 88 - 94
Main Authors Candal-Pedreira, Cristina, Ruano-Ravina, Alberto, Calvo de Juan, Virginia, Cobo, Manuel, Trigo, José Manuel, Rodríguez-Abreu, Delvys, Estival, Anna, Carcereny, Enric, Cucurull, Marc, López Castro, Rafael, Medina, Andrea, García Campelo, Rosario, Cordeiro González, Patricia, Sánchez-Gastaldo, Amparo, Bosch-Barrera, Joaquim, Massutí, Bartomeu, Dómine, Manuel, Camps, Carlos, Ortega, Ana Laura, Sánchez-Hernández, Alfredo, Guirado Risueño, María, del Barco Morillo, Edel, Garrido Fernández, Alberto, Provencio, Mariano
Format Journal Article
LanguageEnglish
Published Spain Elsevier España, S.L.U 01.02.2024
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Abstract [Display omitted] The aim of this study was to analyze the clinical and genetic characteristics of young lung cancer cases, and to compare them with those of older cases. We used the Thoracic Tumors Registry (TTR) as a data source representative of lung cancer cases diagnosed in Spain, and included all cases registered until 9/01/2023 which had information on age at diagnosis or the data needed to calculate it. We performed a descriptive statistical analysis and fitted logistic regressions to analyze how different characteristics influenced being a younger lung cancer patient. A total of 26,336 subjects were included. Lung cancer cases <50 years old had a higher probability of being women (OR: 1.38; 95% CI: 1.21–1.57), being in stage III or IV (OR: 1.32; 95% CI: 1.08–1.62), not having comorbidities (OR: 5.21; 95% CI: 4.59–5.91), presenting with symptoms at diagnosis (OR: 1.53; 95% CI: 1.29–1.81), and having ALK translocation (OR: 7.61; 95% CI: 1.25–46.32) and HER2 mutation (OR: 5.71; 95% CI: 1.34–24.33), compared with subjects ≥50 years. Among subjects <35 years old (n=61), our study observed a higher proportion of women (59.0% vs. 26.6%; p<0.001), never smokers (45.8% vs. 10.3%; p<0.001), no comorbidities (21.3% vs. 74.0%; p<0.001); ALK translocation (33.3% vs. 4.4%; p<0.001) and ROS1 mutation (14.3% vs. 2.3%; p=0.01), compared with subjects ≥35 years. Lung cancer displays differences by age at diagnosis which may have important implications for its clinical management.
AbstractList The aim of this study was to analyze the clinical and genetic characteristics of young lung cancer cases, and to compare them with those of older cases. We used the Thoracic Tumors Registry (TTR) as a data source representative of lung cancer cases diagnosed in Spain, and included all cases registered until 9/01/2023 which had information on age at diagnosis or the data needed to calculate it. We performed a descriptive statistical analysis and fitted logistic regressions to analyze how different characteristics influenced being a younger lung cancer patient. A total of 26,336 subjects were included. Lung cancer cases <50 years old had a higher probability of being women (OR: 1.38; 95% CI: 1.21-1.57), being in stage III or IV (OR: 1.32; 95% CI: 1.08-1.62), not having comorbidities (OR: 5.21; 95% CI: 4.59-5.91), presenting with symptoms at diagnosis (OR: 1.53; 95% CI: 1.29-1.81), and having ALK translocation (OR: 7.61; 95% CI: 1.25-46.32) and HER2 mutation (OR: 5.71; 95% CI: 1.34-24.33), compared with subjects ≥50 years. Among subjects <35 years old (n=61), our study observed a higher proportion of women (59.0% vs. 26.6%; p<0.001), never smokers (45.8% vs. 10.3%; p<0.001), no comorbidities (21.3% vs. 74.0%; p<0.001); ALK translocation (33.3% vs. 4.4%; p<0.001) and ROS1 mutation (14.3% vs. 2.3%; p=0.01), compared with subjects ≥35 years. Lung cancer displays differences by age at diagnosis which may have important implications for its clinical management.
[Display omitted] The aim of this study was to analyze the clinical and genetic characteristics of young lung cancer cases, and to compare them with those of older cases. We used the Thoracic Tumors Registry (TTR) as a data source representative of lung cancer cases diagnosed in Spain, and included all cases registered until 9/01/2023 which had information on age at diagnosis or the data needed to calculate it. We performed a descriptive statistical analysis and fitted logistic regressions to analyze how different characteristics influenced being a younger lung cancer patient. A total of 26,336 subjects were included. Lung cancer cases <50 years old had a higher probability of being women (OR: 1.38; 95% CI: 1.21–1.57), being in stage III or IV (OR: 1.32; 95% CI: 1.08–1.62), not having comorbidities (OR: 5.21; 95% CI: 4.59–5.91), presenting with symptoms at diagnosis (OR: 1.53; 95% CI: 1.29–1.81), and having ALK translocation (OR: 7.61; 95% CI: 1.25–46.32) and HER2 mutation (OR: 5.71; 95% CI: 1.34–24.33), compared with subjects ≥50 years. Among subjects <35 years old (n=61), our study observed a higher proportion of women (59.0% vs. 26.6%; p<0.001), never smokers (45.8% vs. 10.3%; p<0.001), no comorbidities (21.3% vs. 74.0%; p<0.001); ALK translocation (33.3% vs. 4.4%; p<0.001) and ROS1 mutation (14.3% vs. 2.3%; p=0.01), compared with subjects ≥35 years. Lung cancer displays differences by age at diagnosis which may have important implications for its clinical management.
The aim of this study was to analyze the clinical and genetic characteristics of young lung cancer cases, and to compare them with those of older cases.INTRODUCTIONThe aim of this study was to analyze the clinical and genetic characteristics of young lung cancer cases, and to compare them with those of older cases.We used the Thoracic Tumors Registry (TTR) as a data source representative of lung cancer cases diagnosed in Spain, and included all cases registered until 9/01/2023 which had information on age at diagnosis or the data needed to calculate it. We performed a descriptive statistical analysis and fitted logistic regressions to analyze how different characteristics influenced being a younger lung cancer patient.METHODSWe used the Thoracic Tumors Registry (TTR) as a data source representative of lung cancer cases diagnosed in Spain, and included all cases registered until 9/01/2023 which had information on age at diagnosis or the data needed to calculate it. We performed a descriptive statistical analysis and fitted logistic regressions to analyze how different characteristics influenced being a younger lung cancer patient.A total of 26,336 subjects were included. Lung cancer cases <50 years old had a higher probability of being women (OR: 1.38; 95% CI: 1.21-1.57), being in stage III or IV (OR: 1.32; 95% CI: 1.08-1.62), not having comorbidities (OR: 5.21; 95% CI: 4.59-5.91), presenting with symptoms at diagnosis (OR: 1.53; 95% CI: 1.29-1.81), and having ALK translocation (OR: 7.61; 95% CI: 1.25-46.32) and HER2 mutation (OR: 5.71; 95% CI: 1.34-24.33), compared with subjects ≥50 years. Among subjects <35 years old (n=61), our study observed a higher proportion of women (59.0% vs. 26.6%; p<0.001), never smokers (45.8% vs. 10.3%; p<0.001), no comorbidities (21.3% vs. 74.0%; p<0.001); ALK translocation (33.3% vs. 4.4%; p<0.001) and ROS1 mutation (14.3% vs. 2.3%; p=0.01), compared with subjects ≥35 years.RESULTSA total of 26,336 subjects were included. Lung cancer cases <50 years old had a higher probability of being women (OR: 1.38; 95% CI: 1.21-1.57), being in stage III or IV (OR: 1.32; 95% CI: 1.08-1.62), not having comorbidities (OR: 5.21; 95% CI: 4.59-5.91), presenting with symptoms at diagnosis (OR: 1.53; 95% CI: 1.29-1.81), and having ALK translocation (OR: 7.61; 95% CI: 1.25-46.32) and HER2 mutation (OR: 5.71; 95% CI: 1.34-24.33), compared with subjects ≥50 years. Among subjects <35 years old (n=61), our study observed a higher proportion of women (59.0% vs. 26.6%; p<0.001), never smokers (45.8% vs. 10.3%; p<0.001), no comorbidities (21.3% vs. 74.0%; p<0.001); ALK translocation (33.3% vs. 4.4%; p<0.001) and ROS1 mutation (14.3% vs. 2.3%; p=0.01), compared with subjects ≥35 years.Lung cancer displays differences by age at diagnosis which may have important implications for its clinical management.CONCLUSIONSLung cancer displays differences by age at diagnosis which may have important implications for its clinical management.
Graphical abstract
Author Ruano-Ravina, Alberto
Estival, Anna
Medina, Andrea
Candal-Pedreira, Cristina
Sánchez-Hernández, Alfredo
Provencio, Mariano
Calvo de Juan, Virginia
Ortega, Ana Laura
del Barco Morillo, Edel
Garrido Fernández, Alberto
Dómine, Manuel
Cordeiro González, Patricia
Rodríguez-Abreu, Delvys
Carcereny, Enric
Bosch-Barrera, Joaquim
Cobo, Manuel
Camps, Carlos
Guirado Risueño, María
Sánchez-Gastaldo, Amparo
García Campelo, Rosario
Trigo, José Manuel
López Castro, Rafael
Massutí, Bartomeu
Cucurull, Marc
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  surname: Ruano-Ravina
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  email: alberto.ruano@usc.es
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  organization: Oncology Department, Puerta de Hierro University Teaching Hospital, Majadahonda, Spain
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  givenname: Manuel
  surname: Cobo
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  organization: UGC Medical Oncology Intercenters, Regional and Virgen de la Victoria University Teaching Hospitals, Malaga, IBIMA, Malaga, Spain
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  givenname: José Manuel
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  givenname: Delvys
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  organization: Gran Canaria Island Hospital, Las Palmas de Gran Canaria, Spain
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  givenname: Anna
  surname: Estival
  fullname: Estival, Anna
  organization: Gran Canaria Island Hospital, Las Palmas de Gran Canaria, Spain
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  givenname: Enric
  surname: Carcereny
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  organization: Medical Oncology Department, Catalonian Oncology Institute, Badalona-Germans Trias i Pujol Hospital, B-ARGO Group, Spain
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  givenname: Marc
  surname: Cucurull
  fullname: Cucurull, Marc
  organization: Medical Oncology Department, Catalonian Oncology Institute, Badalona-Germans Trias i Pujol Hospital, B-ARGO Group, Spain
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  surname: López Castro
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  surname: Medina
  fullname: Medina, Andrea
  organization: Medical Oncology Section, Valladolid University Clinical Teaching Hospital, Spain
– sequence: 12
  givenname: Rosario
  surname: García Campelo
  fullname: García Campelo, Rosario
  organization: Department of Oncology, A Coruña University Teaching Hospital Complex, Coruña, Spain
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  givenname: Patricia
  surname: Cordeiro González
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  givenname: Amparo
  surname: Sánchez-Gastaldo
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  organization: Virgen del Rocio University Teaching Hospital, Seville, Spain
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  givenname: Joaquim
  surname: Bosch-Barrera
  fullname: Bosch-Barrera, Joaquim
  organization: Catalonian Oncology Institute, Dr. Josep Trueta University Teaching Hospital, Girona, Spain
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  givenname: Bartomeu
  surname: Massutí
  fullname: Massutí, Bartomeu
  organization: Dr. Balmis University Teaching Hospital, Alicante Health Research and Biomedical Institute (ISABIAL), Alicante, Spain
– sequence: 17
  givenname: Manuel
  surname: Dómine
  fullname: Dómine, Manuel
  organization: Jiménez Díaz Foundation University Hospital, IIS-FJD, Madrid, Spain
– sequence: 18
  givenname: Carlos
  surname: Camps
  fullname: Camps, Carlos
  organization: Department of Medical Oncology, Catalan Institute of Oncology, Doctor Josep Trueta University Hospital and Precision Oncology Group (OncoGIR-Pro), Girona Biomedical Research Institute (IDIBGI), Girona, Spain
– sequence: 19
  givenname: Ana Laura
  surname: Ortega
  fullname: Ortega, Ana Laura
  organization: Jaén Hospital Complex, Jaén, Spain
– sequence: 20
  givenname: Alfredo
  surname: Sánchez-Hernández
  fullname: Sánchez-Hernández, Alfredo
  organization: Castellón Provincial Hospital, Castellón, Spain
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  surname: Guirado Risueño
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  organization: Medical Oncology Department, Salamanca University Healthcare Complex-IBSAL, Salamanca, Spain
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  surname: Garrido Fernández
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  organization: Álvaro Cunqueiro University Teaching Hospital, Vigo, Spain
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  givenname: Mariano
  surname: Provencio
  fullname: Provencio, Mariano
  organization: Oncology Department, Puerta de Hierro University Teaching Hospital, Majadahonda, Spain
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Issue 2
Keywords Young patients
Characteristics
Anaplastic lymphoma kinase
Lung cancer
Epidermal growth factor receptor
Genetic alterations
Language English
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Snippet [Display omitted] The aim of this study was to analyze the clinical and genetic characteristics of young lung cancer cases, and to compare them with those of...
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The aim of this study was to analyze the clinical and genetic characteristics of young lung cancer cases, and to compare them with those of older cases. We...
The aim of this study was to analyze the clinical and genetic characteristics of young lung cancer cases, and to compare them with those of older...
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SubjectTerms Anaplastic lymphoma kinase
Characteristics
Epidermal growth factor receptor
Genetic alterations
Lung cancer
Pulmonary/Respiratory
Young patients
Title Comparison of Clinical and Genetic Characteristics Between Younger and Older Lung Cancer Patients
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