Sep 2026· Theoretical and Natural Science· 0 citations
TL;DR
It is found that survival analysis of SEER data can provide statistical support for the prognosis prediction of patients and the performance of Cox proportional hazards and accelerated failure time models is compared.
Abstract
Male breast cancer is uncommon, but its clinical management remains challenging because evidence is still far less abundant than that for female breast cancer. This study used data from the SEER Program to evaluate prognostic factors in male breast cancer and to compare the performance of Cox proportional hazards and accelerated failure time (AFT) models. After data cleaning and variable construction, 1,743 male patients diagnosed between 2000 and 2019 were included in the final analytic cohort. The dataset contained demographic information, tumor stage, receptor status, treatment variables, survival time, and outcome status. According to the above results, the 1-year, 3-year and 5-year survival rates are 93.7%, 82.7% and 71.5%, respectively. The test for proportional hazards showed that some variables did not meet the requirements of the Cox model, so an AFT model was selected. We can find that survival analysis of SEER data can provide statistical support for the prognosis prediction of patients.
The results show that patients who received chemotherapy demonstrated a shorter median RFS compared to those who did not, and radiotherapy was associated with improved prognosis, in line with meta-analyses showing reduced breast cancer mortality post-radiotherapy.
Boby Al Qurthuby, I. M. Murwantara· International Journal of Adv...· 0 citations
Relevance: Breast cancer is the most common malignancy in women and one of the leading causes of cancer-related mortality.
Despite the availability of clinical and biological prognostic factors, developing simple, clinically applicable risk stratification tools
remains an important challenge.
The study aimed to iden...
I. Novikov, S. Yessentayeva, V. Makarov et al.· Eurasian Journal of Oncology...· 0 citations
Baseline survival estimates do not capture evolving prognosis in breast cancer with de novo bone metastases. We aimed to develop and internally evaluate a prognostic framework integrating baseline and conditional cancer-specific survival (CSS) estimates. Using the Surveillance, Epidemiology, and End Results (SEER) data...
Shi-Long Wang, Long Jia· Biomolecules & biomedicine· 0 citations
Background: HER2-positive breast cancer is an aggressive subtype associated with poor outcomes, particularly in low- and middle-income countries where access to targeted therapy is limited. Despite the growing burden of breast cancer in Kenya, comprehensive data on survival outcomes for HER2-positive patients remain sc...
Lordin Wanjala, E. Opondo, J. Ondieki et al.· International Journal of Cli...· 0 citations
Background
Breast cancer is the most frequently diagnosed cancer among women and remains a leading cause of cancer-related mortality worldwide. Understanding the relationship between demographic characteristics, treatment modalities, and survival is essential for improving patient management. This study evaluated the a...
F. Goliwale, Vipul Doshi, Wasim Bennisirur et al.· Greenfort International Jour...· 0 citations
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer associated with
poor prognosis and limited treatment options. Survival outcomes among TNBC patients are known
to vary depending on the type of treatment received, making comparative survival evaluation
essential for clinical decision-maki...
Hindatu Saidu· INTERNATIONAL JOURNAL OF APP...· 0 citations
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