Sex Differences in Lung Cancer Treatment and Outcomes at a Large Hybrid Academic-Community Practice.

Lung cancer Outcomes SEER Sex differences Treatment

Journal

JTO clinical and research reports
ISSN: 2666-3643
Titre abrégé: JTO Clin Res Rep
Pays: United States
ID NLM: 101769967

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 10 01 2022
revised: 28 02 2022
accepted: 04 03 2022
entrez: 11 4 2022
pubmed: 12 4 2022
medline: 12 4 2022
Statut: epublish

Résumé

Lung cancer is the leading cause of cancer-related death and the second most often diagnosed malignancy worldwide. Males have higher incidence of lung cancer and higher mortality. It is hypothesized that the sex differences in survival are primarily driven by a better response of females to treatment. The primary objective of this work is to analyze and describe outcome differences between males and females diagnosed with having lung cancer. Data were obtained from a large hybrid academic-community practice institution and validated with Surveillance, Epidemiology, and End Results (SEER). The initial cohort included patients aged more than or equal to 18 years diagnosed with having primary malignant lung cancer. Patients were excluded from the analysis if they had an unknown diagnosis date, were missing sex, or had prior history of cancer. Chi-square, A total of 8909 patients from our institution and 725,018 in SEER were analyzed. Male-to-female ratio was 1.0. Females were more likely to undergo surgery and less likely to be treated with immunotherapy. Females had higher rates of documented psychological affections, depression, anxiety, urinary tract infection, hypothyroidism, and hyperthyroidism, while displaying lower rates of acute kidney injury, myocardial infarction, and myocarditis. Paired multivariable models revealed a lower risk of death for females in SEER (hazard ratio for females = 0.84, confidence interval: 0.69-1.02, Female sex was associated with higher surgical rates, lower immunotherapy use rates, higher rates of endocrinologic complications after immunotherapy use, and higher rates of psychological disorders.

Identifiants

pubmed: 35400080
doi: 10.1016/j.jtocrr.2022.100307
pii: S2666-3643(22)00031-5
pmc: PMC8983352
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100307

Informations de copyright

© 2022 The Authors.

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Auteurs

Nickolas Stabellini (N)

Graduate Education Office, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Department of Hematology-Oncology, University Hospitals, Case Comprehensive Cancer Center, Cleveland, Ohio.
Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, Brazil.
Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.

Debora S Bruno (DS)

Department of Hematology-Oncology, University Hospitals, Case Comprehensive Cancer Center, Cleveland, Ohio.

Mantas Dmukauskas (M)

Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.

Amie J Barda (AJ)

Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Department of Pediatrics, University Hospitals Babies & Children's Hospital, Cleveland, Ohio.

Lifen Cao (L)

Department of Hematology-Oncology, University Hospitals, Case Comprehensive Cancer Center, Cleveland, Ohio.

John Shanahan (J)

Cancer Informatics, Seidman Cancer Center at University Hospitals of Cleveland, Cleveland, Ohio.

Kristin Waite (K)

Trans-Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Bethesda, Maryland.

Alberto J Montero (AJ)

Department of Hematology-Oncology, University Hospitals, Case Comprehensive Cancer Center, Cleveland, Ohio.

Jill S Barnholtz-Sloan (JS)

Trans-Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Center for Biomedical Informatics and Information Technology (CBIIT), National Cancer Institute, National Institutes of Health, Bethesda, Maryland.

Classifications MeSH