LAUSR

BACKGROUND There is an increasing trend of colorectal cancer (CRC) incidence and mortality in individuals under the age of 50. The impact of age on the outcomes of CRC remains controversial. This study examined the characteristics and treatment trends of young-onset CRC by comparing patients < 50 years of age to those ≥50. METHODS Data were retrospectively obtained from one of the largest hospital systems in Virginia. The sample included patients diagnosed with CRC from 2008 to 2016. Bivariate analyses were used to describe patients' characteristics. Stratified and multivariate analyses were used to evaluate the association between treatments and age groups in different stages at diagnosis. RESULTS Approximately 11.6 % (n = 522) of the cohort were younger than 50 years old at diagnosis with a mean age of 42.7 (SD = 5.9) years. Compared to their older counterpart (50 and older), young-onset patients were more likely to be African American (28.7 % (n = 150) vs. 23.7 % (n = 944)), to own private insurance (68.5 % (n = 313) vs. 27.6 % (n = 1032)), to have never used tobacco products (50.4 % (n = 237) vs. 43.8 % (n = 1616)), and to be late stage at diagnosis (68.6 % (n = 358) vs. 52.5 % (n = 2090)) (all p < 0.05). For early stage diagnosis, over 98 % of the young-onset treatments were surgery. For late stage diagnosis, the cancer treatment for young onset patients were a combination of surgery (89.4 %), radiation (82.5 %), and chemotherapy (86.3 %). The results of the analyses also demonstrated that patients with young-onset CRC have higher odds for surgery [OR = 1.76, 95 %CI (1.26, 2.47)], radiation [OR = 1.31, 95 %CI (1.17, 1.47)], and chemotherapy [OR = 3.34, 95 %CI (2.62, 4.25)]. CONCLUSIONS Findings confirmed late-stage prevalence among young-onset as well as significant demographic differences with patients' age ≥50. This study is one of few to explore the characteristics and assess treatment of young patients with CRC using U.S hospital data. Moreover, further studies need to clarify the effects of biological properties like genetic influences and environmental factors between races on cancer patient outcomes.