Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis

IntroductionPrimary malignant cardiac tumors (PMCTs) are rare. Geographical distribution has been demonstrated to affect cancer outcomes, making the reduction of geographical inequalities a major priority for cancer control agencies. Geographic survival disparities have not been reported previously...

Full description

Bibliographic Details
Main Authors: Mohamed Rahouma, Sherif Khairallah, Anas Dabsha, Massimo Baudo, Magdy M. El-Sayed Ahmed, Ivancarmine Gambardella, Christopher Lau, Yomna M. Esmail, Abdelrahman Mohamed, Leonard Girardi, Mario Gaudino, Roberto Lorusso, Stephanie L. Mick
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1071770/full
_version_ 1797944836445175808
author Mohamed Rahouma
Mohamed Rahouma
Sherif Khairallah
Sherif Khairallah
Anas Dabsha
Anas Dabsha
Massimo Baudo
Massimo Baudo
Magdy M. El-Sayed Ahmed
Magdy M. El-Sayed Ahmed
Ivancarmine Gambardella
Christopher Lau
Yomna M. Esmail
Abdelrahman Mohamed
Leonard Girardi
Mario Gaudino
Roberto Lorusso
Roberto Lorusso
Stephanie L. Mick
author_facet Mohamed Rahouma
Mohamed Rahouma
Sherif Khairallah
Sherif Khairallah
Anas Dabsha
Anas Dabsha
Massimo Baudo
Massimo Baudo
Magdy M. El-Sayed Ahmed
Magdy M. El-Sayed Ahmed
Ivancarmine Gambardella
Christopher Lau
Yomna M. Esmail
Abdelrahman Mohamed
Leonard Girardi
Mario Gaudino
Roberto Lorusso
Roberto Lorusso
Stephanie L. Mick
author_sort Mohamed Rahouma
collection DOAJ
description IntroductionPrimary malignant cardiac tumors (PMCTs) are rare. Geographical distribution has been demonstrated to affect cancer outcomes, making the reduction of geographical inequalities a major priority for cancer control agencies. Geographic survival disparities have not been reported previously for PMCT and the aim of this study is to compare the prevalence and the long-term survival rate with respect to the geographic location of PMCTs using the Surveillance, Epidemiology, and End Results (SEER) research plus data 17 registries between 2000 and 2019.MethodsThe SEER database was queried to identify geographic variation among PMCTs. We classified the included states into 4 geographical regions (Midwest, Northeast, South and West regions) based on the U.S. Census Bureau-designated regions and divisions. Different demographic and clinical variables were analyzed and compared between the four groups. Kaplan Meier curves and Cox regression were used for survival assessment.ResultsA total of 563 patients were included in our analysis. The median age was 53 years (inter-quartile range (IQR): 38 - 68 years) and included 26, 90, 101, and 346 patients from the Midwest, Northeast, South, and West regions respectively. Sarcoma represented 65.6% of the cases, followed by hematological tumors (26.2%), while mesothelioma accounted for 2.1%. Treatment analysis showed no significant differences between different regions. Median overall survival was 11, 21, 13, and 11 months for Midwest, Northeast, South and West regions respectively and 5-year overall survival was 22.2%, 25.4%, 14.9%, and 17.6% respectively. On multivariate Cox regression, significant independent predictors of late overall mortality among the entire cohort included age (Hazard Ratio [HR] 1.028), year of diagnosis (HR 0.967), sarcoma (HR 3.36), surgery (HR 0.63) and chemotherapy (HR 0.56).ConclusionPrimary malignant cardiac tumors are rare and associated with poor prognosis. Sarcoma is the most common pathological type. Younger age, recent era diagnosis, surgical resection, and chemotherapy were the independent predictors of better survival. While univariate analysis revealed that patients in the South areas had a worse survival trend compared to other areas, geographic disparity in survival was nullified in multivariate analysis.
first_indexed 2024-04-10T20:45:55Z
format Article
id doaj.art-76cf89735ed8438a9999353517b09e30
institution Directory Open Access Journal
issn 2234-943X
language English
last_indexed 2024-04-10T20:45:55Z
publishDate 2023-01-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Oncology
spelling doaj.art-76cf89735ed8438a9999353517b09e302023-01-24T07:43:01ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-01-011310.3389/fonc.2023.10717701071770Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysisMohamed Rahouma0Mohamed Rahouma1Sherif Khairallah2Sherif Khairallah3Anas Dabsha4Anas Dabsha5Massimo Baudo6Massimo Baudo7Magdy M. El-Sayed Ahmed8Magdy M. El-Sayed Ahmed9Ivancarmine Gambardella10Christopher Lau11Yomna M. Esmail12Abdelrahman Mohamed13Leonard Girardi14Mario Gaudino15Roberto Lorusso16Roberto Lorusso17Stephanie L. Mick18Cardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesSurgical Oncology Department, National Cancer Institute, Cairo University, Cairo, EgyptCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesSurgical Oncology Department, National Cancer Institute, Cairo University, Cairo, EgyptCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesSurgical Oncology Department, National Cancer Institute, Cairo University, Cairo, EgyptCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesCardiac Surgery Department, Spedali Civili di Brescia, University of Brescia, Brescia, ItalyCardiothoracic Surgery Department, Mayo Clinic, Jacksonville, FL, United StatesDepartment of Surgery, Zagazig University Faculty of Medicine, Zagazig, EgyptCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesSurgical Oncology Department, National Cancer Institute, Cairo University, Cairo, EgyptCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesDepartment of Cardio-Thoracic Surgery, Maastricht University Medical Centre, Maastricht University, Maastricht, NetherlandsCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, NetherlandsCardiothoracic Surgery Departments, Weill Cornell Medicine, New York, NY, United StatesIntroductionPrimary malignant cardiac tumors (PMCTs) are rare. Geographical distribution has been demonstrated to affect cancer outcomes, making the reduction of geographical inequalities a major priority for cancer control agencies. Geographic survival disparities have not been reported previously for PMCT and the aim of this study is to compare the prevalence and the long-term survival rate with respect to the geographic location of PMCTs using the Surveillance, Epidemiology, and End Results (SEER) research plus data 17 registries between 2000 and 2019.MethodsThe SEER database was queried to identify geographic variation among PMCTs. We classified the included states into 4 geographical regions (Midwest, Northeast, South and West regions) based on the U.S. Census Bureau-designated regions and divisions. Different demographic and clinical variables were analyzed and compared between the four groups. Kaplan Meier curves and Cox regression were used for survival assessment.ResultsA total of 563 patients were included in our analysis. The median age was 53 years (inter-quartile range (IQR): 38 - 68 years) and included 26, 90, 101, and 346 patients from the Midwest, Northeast, South, and West regions respectively. Sarcoma represented 65.6% of the cases, followed by hematological tumors (26.2%), while mesothelioma accounted for 2.1%. Treatment analysis showed no significant differences between different regions. Median overall survival was 11, 21, 13, and 11 months for Midwest, Northeast, South and West regions respectively and 5-year overall survival was 22.2%, 25.4%, 14.9%, and 17.6% respectively. On multivariate Cox regression, significant independent predictors of late overall mortality among the entire cohort included age (Hazard Ratio [HR] 1.028), year of diagnosis (HR 0.967), sarcoma (HR 3.36), surgery (HR 0.63) and chemotherapy (HR 0.56).ConclusionPrimary malignant cardiac tumors are rare and associated with poor prognosis. Sarcoma is the most common pathological type. Younger age, recent era diagnosis, surgical resection, and chemotherapy were the independent predictors of better survival. While univariate analysis revealed that patients in the South areas had a worse survival trend compared to other areas, geographic disparity in survival was nullified in multivariate analysis.https://www.frontiersin.org/articles/10.3389/fonc.2023.1071770/fullprimary malignant cardiac tumorsdatabase analysisgeographic variationcardiac surgeryoncology
spellingShingle Mohamed Rahouma
Mohamed Rahouma
Sherif Khairallah
Sherif Khairallah
Anas Dabsha
Anas Dabsha
Massimo Baudo
Massimo Baudo
Magdy M. El-Sayed Ahmed
Magdy M. El-Sayed Ahmed
Ivancarmine Gambardella
Christopher Lau
Yomna M. Esmail
Abdelrahman Mohamed
Leonard Girardi
Mario Gaudino
Roberto Lorusso
Roberto Lorusso
Stephanie L. Mick
Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis
Frontiers in Oncology
primary malignant cardiac tumors
database analysis
geographic variation
cardiac surgery
oncology
title Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis
title_full Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis
title_fullStr Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis
title_full_unstemmed Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis
title_short Geographic variation in malignant cardiac tumors and their outcomes: SEER database analysis
title_sort geographic variation in malignant cardiac tumors and their outcomes seer database analysis
topic primary malignant cardiac tumors
database analysis
geographic variation
cardiac surgery
oncology
url https://www.frontiersin.org/articles/10.3389/fonc.2023.1071770/full
work_keys_str_mv AT mohamedrahouma geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT mohamedrahouma geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT sherifkhairallah geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT sherifkhairallah geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT anasdabsha geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT anasdabsha geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT massimobaudo geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT massimobaudo geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT magdymelsayedahmed geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT magdymelsayedahmed geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT ivancarminegambardella geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT christopherlau geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT yomnamesmail geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT abdelrahmanmohamed geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT leonardgirardi geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT mariogaudino geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT robertolorusso geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT robertolorusso geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis
AT stephanielmick geographicvariationinmalignantcardiactumorsandtheiroutcomesseerdatabaseanalysis