Abstract 4343109: Prevalence Of Heart Tumors And Their Prognostic Factors (2000-2020): An Analysis Of The U.S. Seer Database

Background: Heart tumors pose significant diagnostic and therapeutic challenges. Understanding their prevalence and prognostic factors is crucial for improving patient outcomes. Hypothesis: Tumor stage, histologic subtype, age, and chemotherapy use independently predict survival in patients with primary heart tumors. Aim: To evaluate the prognostic impact of tumor stage, histologic subtype, age, and treatment modalities on cancer-specific survival in patients with primary heart tumors. Methods: We analyzed the US Surveillance, Epidemiology, and End Results database from 2000 to 2020. 1,086 patients diagnosed with heart tumors were included in our analysis. Descriptive statistics, including means and standard deviations for age, and proportions for categorical variables such as gender, surgery, radiotherapy, chemotherapy, tumor category, and stage, were calculated. Risk factors with a p<0.1 were included in a multivariate Cox regression model to identify significant prognostic factors for cancer-specific survival. Results: The mean age of the patients was 52.1 years (SD = 20.36). The gender distribution was 47.67% female and 52.33% male. Among the patients, 46.09% did not undergo surgery, and 16.21% received radiotherapy. Chemotherapy was administered to 57.54% of the patients. The tumors were categorized as sarcomas (46.51%), lymphomas (23.84%), carcinomas (0.93%), other tumors (1.51%). The stages of tumors were classified as localized (35.64%), regional (27.54%), and distant (36.82%). The median survival was 21 months. Patients with regional stage tumors had a significantly worse survival compared to those with localized tumors (adjusted hazard ratio [aHR] = 1.632, p = 0.0024). Distant stage tumors had a significantly worse survival compared to those with localized tumors (aHR = 2.114, p < 0.0001). Chemotherapy was associated with better survival (aHR = 0.7174, p = 0.0101). Increasing age was associated with worse survival (aHR = 1.016, 95%, p < 0.0001). Compared to sarcomas, survival was not significantly different for carcinomas (aHR = 1.083, p = 0.8789), while lymphomas (aHR = 0.2970, p < 0.0001) and other tumor types (aHR = 0.2034, p = 0.0257) had better survival. Conclusion: This study highlights the prevalence of various heart tumor types and identifies critical prognostic factors. Advanced stage at diagnosis, increasing age, and specific tumor categories significantly influence survival outcomes. Chemotherapy was found to be beneficial for survival.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4343109
Primary Topic
Chemotherapy-induced cardiotoxicity and mitigation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4343109: Prevalence Of Heart Tumors And Their Prognostic Factors (2000-2020): An Analysis Of The U.S. Seer Database

Tarek Ziad Arabi, Nida Mariyam, A. M. Elshaer, Hasaan Ahmed et al.
Circulation
Chemotherapy-induced cardiotoxicity and mitigation
article

Abstract 4343109: Prevalence Of Heart Tumors And Their Prognostic Factors (2000-2020): An Analysis Of The U.S. Seer Database

Tarek Ziad Arabi, Nida Mariyam, A. M. Elshaer, Hasaan Ahmed, Ali Bin Abdul Jabbar, Belal Nedal Sabbah, Ali Mushtaq, Mohamad Khalid Al Aswad, Abdullah Shaik, Mohammed Hady Albitar
article en

Abstract

Background: Heart tumors pose significant diagnostic and therapeutic challenges. Understanding their prevalence and prognostic factors is crucial for improving patient outcomes. Hypothesis: Tumor stage, histologic subtype, age, and chemotherapy use independently predict survival in patients with primary heart tumors. Aim: To evaluate the prognostic impact of tumor stage, histologic subtype, age, and treatment modalities on cancer-specific survival in patients with primary heart tumors. Methods: We analyzed the US Surveillance, Epidemiology, and End Results database from 2000 to 2020. 1,086 patients diagnosed with heart tumors were included in our analysis. Descriptive statistics, including means and standard deviations for age, and proportions for categorical variables such as gender, surgery, radiotherapy, chemotherapy, tumor category, and stage, were calculated. Risk factors with a p<0.1 were included in a multivariate Cox regression model to identify significant prognostic factors for cancer-specific survival. Results: The mean age of the patients was 52.1 years (SD = 20.36). The gender distribution was 47.67% female and 52.33% male. Among the patients, 46.09% did not undergo surgery, and 16.21% received radiotherapy. Chemotherapy was administered to 57.54% of the patients. The tumors were categorized as sarcomas (46.51%), lymphomas (23.84%), carcinomas (0.93%), other tumors (1.51%). The stages of tumors were classified as localized (35.64%), regional (27.54%), and distant (36.82%). The median survival was 21 months. Patients with regional stage tumors had a significantly worse survival compared to those with localized tumors (adjusted hazard ratio [aHR] = 1.632, p = 0.0024). Distant stage tumors had a significantly worse survival compared to those with localized tumors (aHR = 2.114, p < 0.0001). Chemotherapy was associated with better survival (aHR = 0.7174, p = 0.0101). Increasing age was associated with worse survival (aHR = 1.016, 95%, p < 0.0001). Compared to sarcomas, survival was not significantly different for carcinomas (aHR = 1.083, p = 0.8789), while lymphomas (aHR = 0.2970, p < 0.0001) and other tumor types (aHR = 0.2034, p = 0.0257) had better survival. Conclusion: This study highlights the prevalence of various heart tumor types and identifies critical prognostic factors. Advanced stage at diagnosis, increasing age, and specific tumor categories significantly influence survival outcomes. Chemotherapy was found to be beneficial for survival.

CirculationVol. 152(Suppl_3)
Creighton University (US), Cleveland Clinic (US), Alfaisal University (SA), Henry Ford Hospital (US)
Openalex Percentile: Top 52%
Chemotherapy-induced cardiotoxicity and mitigation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.