Purpose: To test the effect of age on cancer-specific mortality (CSM) in most contemporary prostate cancer (PCa) patients of all stages and across all treatment modalities.
Methods: Within the Surveillance, Epidemiology, and End Results database (2004-2016), we identified 579,369 PCa patients. Cumulative incidence plots and multivariable competing-risks regression analyses (MCR) were used. Subgroup analyses were performed according to ethnicity (African-Americans), clinical stage (T1-2N0M0, T3-4N0M0, TanyN1M0, and TanyNanyM1), as well as treatment modalities.
Results: Patient distribution was as follows: 142,338 (24.6%) < 60 years; 113,064 (19.5%) 60-64 years; 127,158 (21.9%) 65-69 years; 94,782 (16.4%) 70-74 years; and 102,027 (17.6%) ≥ 75 years. Older patients harbored worse tumor characteristics and more frequently received no local treatment. Overall, 10-year CSM rates were 4.8, 5.3, 5.9, 7.6, and 14.6%, respectively, in patients aged < 60, 60-64, 65-69, 70-74 ,and ≥ 75 years (p < 0.001). In MCR focusing on the overall cohort and T1-2N0M0 patients, older age independently predicted higher CSM, but not in T3-4N0-1M0-1 patients.
Conclusions: Older age was associated with higher grade and stage and independently predicted higher CSM in T1-2N0M0 patients, but not in higher stages. Differences in diagnostics and therapeutics seem to affect elderly patients within T1-2N0M0 PCa and should be avoided if possible.
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http://dx.doi.org/10.1007/s10552-020-01273-5 | DOI Listing |
Neurosurg Rev
January 2025
Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Atypical teratoid rhabdoid tumor (AT/RT) is a rare embryonal central nervous system tumor with a dismal prognosis that occurs mostly in early childhood. Since recent epidemiological and prognostic information is limited, we aimed to describe and analyze AT/RT-related incidences, temporal trends and prognostic factors. Incidence and survival data between 2001 and 2021 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database.
View Article and Find Full Text PDFBackground: To measure the aging process before a cancer diagnosis, we developed the first cancer-specific proteomic aging clock (CaPAC) and examined its association with cancer risk in the Atherosclerosis Risk in Communities (ARIC) and Multi-Ethnic Study of Atherosclerosis (MESA) studies.
Methods: Using the SomaScan assay, ARIC measured 4,712 proteins in plasma samples collected in 1990-92 from 3,347 participants who developed cancer over follow-up until 2015 and 7,487 who remained cancer-free, all aged 46-70. We constructed CaPAC0 using elastic net regression among two-thirds randomly selected cancer-free participants (N=4,991, training set) and calculated age acceleration for CaPAC0 (CaPAA0) as residuals of CaPAC0 on chronological age in all remaining ARIC participants.
Urol Oncol
January 2025
Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Introduction: To test for cancer specific mortality (CSM) differences after either radical prostatectomy (RP) or radiotherapy (RT) in incidental prostate cancer (IPCa) patients.
Patients And Methods: Within the Surveillance, Epidemiology, and End Results (SEER) database (2004-2015), IPCa patients were identified. Cumulative incidence plots as well as competing risks regression (CRR) models were fitted to address CSM after adjustment for other-cause mortality (OCM).
Breast Cancer Res
January 2025
Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, 246 Clayton Road, Clayton, VIC, 3168, Australia.
Background: Tumour DNA methylation has been investigated as a potential marker for breast cancer survival, but findings often lack replication across studies.
Methods: This study sought to replicate previously reported associations for individual CpG sites and multi-CpG signatures using an Australian sample of 425 women with breast cancer from the Melbourne Collaborative Cohort Study (MCCS). Candidate methylation sites (N = 22) and signatures (N = 3) potentially associated with breast cancer survival were identified from five prior studies that used The Cancer Genome Atlas (TCGA) methylation dataset, which shares key characteristics with the MCCS: comparable sample size, tissue type (formalin-fixed paraffin-embedded; FFPE), technology (Illumina HumanMethylation450 array), and participant characteristics (age, ancestry, and disease subtype and severity).
Sci Rep
January 2025
Department of Oncology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi Province, China.
The benefit of adjuvant chemotherapy (CT) for hormone receptor-negative T1a and T1bN0M0 breast cancer remains uncertain. Our study was to explore prognostic value and identify candidates of adjuvant CT for these patients. The data of hormone receptor-negative T1a and T1bN0M0 breast cancer patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015.
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