Patient characteristics and survival data The variables recorded were patient age, gender, ethnicity, clinical stage, pathological stage, histology, grade, location of tumor, number of regional lymph nodes retrieved,

number of positive lymph nodes, date of diagnosis, CEA, sites of metastases, type of surgery, surgical margins and treatment. Tumor histology was classified by using the International Classification of Histology (ICD-O-3) into NMCC [8,140, 8,243-8,245, 8,210, 8,211], MCC [8,470, 8,472, 8,480, and 8,481] and SRCC [8,490]. Tumor locations were divided into cecum, appendix, ascending colon, hepatic flexure, transverse colon, splenic flexure, descending colon, sigmoid colon and Inhibitors,research,lifescience,medical overlapping tumors Inhibitors,research,lifescience,medical (NOS) based on the SEER Program Coding and Staging Manual 2007. Tumor stage was based on TNM staging system and American Joint Committee on Cancer, AJCC Cancer Staging Manual (6th edition, 2002). Tumor grade was further classified as well differentiated, moderately differentiated, poorly differentiated, undifferentiated or anaplastic tumors. Overall survival was calculated for patients not alive as total number of months from date of {Selleck Anti-cancer Compound Library|Selleck Anticancer Compound Library|Selleck Anti-cancer Compound Library|Selleck Anticancer Compound Library|Selleckchem Anti-cancer Compound Library|Selleckchem Anticancer Compound Library|Selleckchem Anti-cancer Compound Library|Selleckchem Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|Anti-cancer Compound Library|Anticancer Compound Library|buy Anti-cancer Compound Library|Anti-cancer Compound Library ic50|Anti-cancer Compound Library price|Anti-cancer Compound Library cost|Anti-cancer Compound Library solubility dmso|Anti-cancer Compound Library purchase|Anti-cancer Compound Library manufacturer|Anti-cancer Compound Library research buy|Anti-cancer Compound Library order|Anti-cancer Compound Library mouse|Anti-cancer Compound Library chemical structure|Anti-cancer Compound Library mw|Anti-cancer Compound Library molecular weight|Anti-cancer Compound Library datasheet|Anti-cancer Compound Library supplier|Anti-cancer Compound Library in vitro|Anti-cancer Compound Library cell line|Anti-cancer Compound Library concentration|Anti-cancer Compound Library nmr|Anti-cancer Compound Library in vivo|Anti-cancer Compound Library clinical trial|Anti-cancer Compound Library cell assay|Anti-cancer Compound Library screening|Anti-cancer Compound Library high throughput|buy Anticancer Compound Library|Anticancer Compound Library ic50|Anticancer Compound Library price|Anticancer Compound Library cost|Anticancer Compound Library solubility dmso|Anticancer Compound Library purchase|Anticancer Compound Library manufacturer|Anticancer Compound Library research buy|Anticancer Compound Library order|Anticancer Compound Library chemical structure|Anticancer Compound Library datasheet|Anticancer Compound Library supplier|Anticancer Compound Library in vitro|Anticancer Compound Library cell line|Anticancer Compound Library concentration|Anticancer Compound Library clinical trial|Anticancer Compound Library cell assay|Anticancer Compound Library screening|Anticancer Compound Library high throughput|Anti-cancer Compound high throughput screening| diagnosis to date of last contact and for those alive as total number of months from date of diagnosis Inhibitors,research,lifescience,medical to July 30, 2009 i.e., when the database was last updated. Statistical

analysis Quantitative variables such as age and number of lymph nodes Inhibitors,research,lifescience,medical were summarized as mean and standard deviation. One-way ANOVA model was fitted to a continuous variable to examine if means of several groups are all equal. Univariate logistic regression analysis was performed to determine the factors significantly associated with various histologies. Chi-square analysis was used to compare differences between NMCC, MCC and SRCC. For all statistical tests, significance level is set at 0.05. Statistical analysis was carried out with SAS Inhibitors,research,lifescience,medical 9.2 (SAS Institute Inc., Cary NC). Results Demographics Of 36,260 colon cancer patients, 26,669 (73.5 percent) were NMCC, 2,443 (7 percent) were MCC and 206 (0.6

percent) were SRCC patients. Median age at diagnosis of SRCC was 67 years as compared to 70 years for both MCC and NMCC. Study patients were mainly males and caucasians. There were no significant Thiamine-diphosphate kinase gender differences noted among the three histological subtypes. However, African Americans were found to have less SRCC and MCC incidence as compared to NMCC (15%, 16.4% and 19%, respectively). Detailed demographic data is shown in Table 1. Table 1 Patient demographics Clinico-pathological characteristics Location of tumor SRCC and MCC were more common on the right side of the colon involving cecum and ascending colon (59.5%, 56.5% and 39%) while NMCC was most commonly found on the left side of the colon involving the sigmoid colon (23%, 29.5% and 46%).