Background: We aimed to identify predictors of and heterogeneity in survival among different age groups of patients with early-onset colorectal cancer (EOCRC).
Methods: This retrospective cohort study used National Cancer Database data from 2004 to 2019. Differences in survival among CRC patients <50 years, subcategorized into age groups (<20, 20-29, 30-39, 40-49 years) were compared for demographic, clinical, and histologic features by univariate and multivariate analyses. Cox hazard regression and Kaplan Meier survival analysis were performed.
Results: 134 219 of the 1 240 787 individuals with CRC (10.8%) were <50 years old; 46 639 (34.8%) had rectal and 87 580 (65.3%) had colon cancer. Within the colon cancer cohort, individuals aged between 30 and 39 years had the highest overall survival rate (66.7%) during a median follow-up of 47.6 months (interquartile range IQR 23.1-89.7). The same age group in the rectal cancer cohort had the lowest survival rate (31%) over a median follow-up of 54.5 (IQR 28.24-97.31) months. Leading factors affecting survival included tumor stage (HR 8.23 [4.64-14.6]; p < 0.0001), lymphovascular invasion (HR 1.88 [1.70-2.06]; p < 0.0001) and perineural invasion (HR 1.08 [1.02-1.15]; p = 0.001).
Conclusion: Survival trends vary within age groups of patients affected with early onset colon cancer compared to rectal cancer. Tumor stage and unfavorable pathological characteristics are the strongest factors predicting survival.
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http://dx.doi.org/10.1002/jso.27754 | DOI Listing |
Cancer Treat Rev
January 2025
Department of Oncology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden. Electronic address:
Importance: Endocrine treatments, such as Tamoxifen (TAM) and/or Aromatase inhibitors (AI), are the adjuvant therapy of choice for hormone-receptor positive breast cancer. These agents are associated with menopausal symptoms, adversely affecting drug compliance. Topical estrogen (TE) has been proposed for symptom management, given its' local application and presumed reduced bioavailability, however its oncological safety remains uncertain.
View Article and Find Full Text PDFClin Oncol (R Coll Radiol)
December 2024
Faculty of Medicine and Health Sciences, University of Antwerp, Prinsstraat 13, 2000, Antwerp, Belgium; Department of Radiation Oncology, Iridium Netwerk, Oosterveldlaan 22, 2610, Antwerp, Belgium. Electronic address:
Aim: Tumour-infiltrating lymphocytes (TILs) represent a promising cancer biomarker. Different TILs, including CD8+, CD4+, CD3+, and FOXP3+, have been associated with clinical outcomes. However, data are lacking regarding the value of TILs for patients receiving radiation therapy (RT).
View Article and Find Full Text PDFJ Clin Oncol
January 2025
INSERM, IMRBU955, Univ Paris Est Créteil, Créteil, France.
Purpose: Establishing an accurate prognosis remains challenging in older patients with cancer because of the population's heterogeneity and the current predictive models' reduced ability to capture the complex interactions between oncologic and geriatric predictors. We aim to develop and externally validate a new predictive score (the Geriatric Cancer Scoring System [GCSS]) to refine individualized prognosis for older patients with cancer during the first year after a geriatric assessment (GA).
Materials And Methods: Data were collected from two French prospective multicenter cohorts of patients with cancer 70 years and older, referred for GA: ELCAPA (training set January 2007-March 2016) and ONCODAGE (validation set August 2008-March 2010).
Cancer Rep (Hoboken)
January 2025
Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran.
Background: Recently, microRNAs (miRNAs) have been applied as biomarkers for diffuse large B-cell lymphoma (DLBCL) patients. Early diagnosis and management of DLBCL can improve patient survival and prognosis.
Aims: This systematic review and meta-analysis aimed to evaluate the diagnostic and prognostic accuracy of miRNA biomarkers in DLBCL patients.
PLoS One
January 2025
Center for Innovation in Brain Science, University of Arizona Health Sciences, Tucson, Arizona, United States of America.
Translational validity of mouse models of Alzheimer's disease (AD) is variable. Because change in weight is a well-documented precursor of AD, we investigated whether diversity of human AD risk weight phenotypes was evident in a longitudinally characterized cohort of 1,196 female and male humanized APOE (hAPOE) mice, monitored up to 28 months of age which is equivalent to 81 human years. Autoregressive Hidden Markov Model (AHMM) incorporating age, sex, and APOE genotype was employed to identify emergent weight trajectories and phenotypes.
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