Unknown

Dataset Information

0

Characteristics of Differently Located Colorectal Cancers Support Proximal and Distal Classification: A Population-Based Study of 57,847 Patients.


ABSTRACT:

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.

SUBMITTER: Yang J 

PROVIDER: S-EPMC5147913 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

altmetric image

Publications

Characteristics of Differently Located Colorectal Cancers Support Proximal and Distal Classification: A Population-Based Study of 57,847 Patients.

Yang Jiao J   Du Xiang Lin XL   Li Shu Ting ST   Wang Bi Yuan BY   Wu Yin Ying YY   Chen Zhe Ling ZL   Lv Meng M   Shen Yan Wei YW   Wang Xin X   Dong Dan Feng DF   Li Dan D   Wang Fan F   Li En Xiao EX   Yi Min M   Yang Jin J  

PloS one 20161209 12


<h4>Background</h4>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.<h4>Methods</h4>Cases of pathologically confirmed colorectal adenocarcinoma diagnosed from 2000 to 2012 were identified from the Surveillance, Epidemiology, and End Result  ...[more]

Similar Datasets

| S-EPMC3787794 | biostudies-literature
| S-EPMC8223655 | biostudies-literature
| S-EPMC6764682 | biostudies-literature
| S-EPMC6764682 | biostudies-literature
| S-EPMC4280621 | biostudies-literature
2008-06-13 | E-GEOD-4554 | biostudies-arrayexpress
| S-EPMC8626582 | biostudies-literature
| S-EPMC8506159 | biostudies-literature
| S-EPMC5541935 | biostudies-literature
| S-EPMC3557510 | biostudies-literature