Characteristics of Differently Located Colorectal Cancers Support Proximal and Distal Classification: A Population-Based Study of 57,847 Patients.
In: PloS one, Jg. 11 (2016-12-09), Heft 12, S. e0167540
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Zugriff:
Background: It has been suggested that colorectal cancer be regarded as several subgroups defined according to tumor location rather than as a single entity. The current study aimed to identify the most useful method for grouping colorectal cancer by tumor location according to both baseline and survival characteristics.
Methods: Cases of pathologically confirmed colorectal adenocarcinoma diagnosed from 2000 to 2012 were identified from the Surveillance, Epidemiology, and End Results database and categorized into three groups: right colon cancer (RCC), left colon cancer (LCC), and rectal cancer (ReC). Adjusted hazard ratios for known predictors of disease-specific survival (DSS) in colorectal cancer were obtained using a Cox proportional hazards regression model.
Results: The study included 57847 patients: 43.5% with RCC, 37.7% with LCC, and 18.8% with ReC. Compared with LCC and ReC, RCC was more likely to affect old patients and women, and to be at advanced stage, poorly differentiated or un-differentiated, and mucinous. Patients with LCC or ReC had better DSS than those with RCC in subgroups including stage III or IV disease, age ≤70 years and non-mucinous adenocarcinoma. Conversely, patients with LCC or ReC had worse DSS than those with RCC in subgroups including age ˃70 years and mucinous adenocarcinoma.
Conclusions: RCC differed from both LCC and ReC in several clinicopathologic characteristics and in DSS. It seems reasonable to group colorectal cancer into right-sided (i.e., proximal) and left-sided (i.e., distal) ones.
Competing Interests: The authors have declared that no competing interests exist.
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Characteristics of Differently Located Colorectal Cancers Support Proximal and Distal Classification: A Population-Based Study of 57,847 Patients.
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Autor/in / Beteiligte Person: | Yang, J ; Du, XL ; Li, ST ; Wang, BY ; Wu, YY ; Chen, ZL ; Lv, M ; Shen, YW ; Wang, X ; Dong, DF ; Li, D ; Wang, F ; Li, EX ; Yi, M |
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Zeitschrift: | PloS one, Jg. 11 (2016-12-09), Heft 12, S. e0167540 |
Veröffentlichung: | San Francisco, CA : Public Library of Science, 2016 |
Medientyp: | academicJournal |
ISSN: | 1932-6203 (electronic) |
DOI: | 10.1371/journal.pone.0167540 |
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