医学
结直肠癌
疾病
林奇综合征
肿瘤科
内科学
癌症
入射(几何)
阶段(地层学)
种系突变
辅助治疗
发病年龄
DNA错配修复
突变
基因
光学
物理
生物
古生物学
化学
生物化学
作者
Alexandra Zaborowski,Ahmed Abdile,Michel Adamina,Felix Aigner,Laura d’Allens,Caterina Allmer,Andrea Álvarez,Rocío Anula,Mihailo Andric,S. Atallah,Simon P. Bach,Miklosh Bala,Marie Barussaud,Augustinas Baušys,Brendan Bebington,Andrew D. Beggs,Felipe Bellolio,Melissa-Rose Bennett,Anton Berdinskikh,Vicki Bevan
出处
期刊:JAMA Surgery
[American Medical Association]
日期:2021-06-30
卷期号:156 (9): 865-865
被引量:164
标识
DOI:10.1001/jamasurg.2021.2380
摘要
The incidence of early-onset colorectal cancer (younger than 50 years) is rising globally, the reasons for which are unclear. It appears to represent a unique disease process with different clinical, pathological, and molecular characteristics compared with late-onset colorectal cancer. Data on oncological outcomes are limited, and sensitivity to conventional neoadjuvant and adjuvant therapy regimens appear to be unknown. The purpose of this review is to summarize the available literature on early-onset colorectal cancer. Within the next decade, it is estimated that 1 in 10 colon cancers and 1 in 4 rectal cancers will be diagnosed in adults younger than 50 years. Potential risk factors include a Westernized diet, obesity, antibiotic usage, and alterations in the gut microbiome. Although genetic predisposition plays a role, most cases are sporadic. The full spectrum of germline and somatic sequence variations implicated remains unknown. Younger patients typically present with descending colonic or rectal cancer, advanced disease stage, and unfavorable histopathological features. Despite being more likely to receive neoadjuvant and adjuvant therapy, patients with early-onset disease demonstrate comparable oncological outcomes with their older counterparts. The clinicopathological features, underlying molecular profiles, and drivers of early-onset colorectal cancer differ from those of late-onset disease. Standardized, age-specific preventive, screening, diagnostic, and therapeutic strategies are required to optimize outcomes.
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