Literature DB >> 31323459

Clinicopathologic and epidemiological characteristics of prognostic factors in post-surgical survival of colorectal cancer patients in Jiangsu Province, China.

Said Abasse Kassim1, Weiyan Tang2, Muhammad Abbas3, Shenzhen Wu1, Qingdao Meng1, Chengcheng Zhang1, Xiaobo Li1, Rui Chen4.   

Abstract

Poor survival among colorectal cancer (CRC) patients has been widely associated with clinico-epidemiological features and treatment regimen. In Jiangsu (China), however, it is not known which one of the prognostic factors explains the survival disparities among patients with CRC. This prospective study using 1078 patients (stages I-IV) that underwent surgery at Jiangsu Hospital, explored the relevant factors affecting the prognoses of right-side colon cancer (RCC), left-side colon cancer (LCC) and rectal cancer (ReC) patients. Of these cases, 234 (21.7%), 241 (22.4%) and 603 (55.9%) were found to have RCC, LCC and ReC respectively. Compared to LCC, RCC exhibited a greater proportion of older patients, poorly differentiated carcinomas, higher T-stage and higher TNM-stage. The overall survival (OS) for RCC was 60 vs.78 or 77 months for LCC or ReC respectively (P = 0.030). There were no significant differences in OS between LCC and ReC across the subgroups (P = 0.633). In multivariate analysis, RCC patients had age (>60 vs. ≤60 years, HR = 1.529, P = 0.019), N-stage (N1 vs. N0, HR = 4.056, P = 0.012) and M-stage (M1 vs. M0, HR = 3.442, P < 0.0001) as independent prognostic factors, whereas smoking status was found to be a predictor of mortality (smoker vs. nonsmoker, HR = 2.343, P = 0.017) for LCC. In addition, age (>60 vs. ≤60 years, HR = 2.199, P < 0.0001), alcohol consumption (drinker vs. nondrinker, HR = 0.510, P = 0.034), tumor grade (Poor vs. well/moderate, HR = 2.759, P = 0.031) and T-stage (T3-4 vs. T1-2, HR = 1.742, P < 0.0001) were found to be predictors of mortality for ReC. There were significant pairwise interactions across subgroups. Furthermore, significant differences were observed for LCC vs. RCC (OS, HR = 0.783, P = 0.039), but no statistically significant differences for ReC vs. RCC (P = 0.149) and LCC vs. ReC (P = 0.355). Nevertheless, significant differences remained between ReC vs. RCC for male (HR = 0.591, P = 0.009), drinker (HR = 0.396, P = 0.005), rural resident (HR = 0.437,P = 0.022), tumor grade (well/moderate, HR = 0.475, P = 0.022), T-stage (T1-2, HR = 0.362, P = 0.001), N-stage (N0, HR = 0.604, P = 0.011), M-stage(M0, HR = 0.401, P = 0.006) and TNM-stage (I-II, HR = 0.567, P = 0.005). Statistically significant differences were observed for LCC vs. RCC for gender (female, HR = 0.495, P = 0.003) and T-stage (T1-2, HR = 0.417, P = 0.010) as well as for LCC vs. ReC in patients with smoking habits (HR = 1.951, P = 0.002) and M-stage (M0, HR = 2.291, P = 0.003). These findings suggest that the variations in CRC post-surgical survival in China may be primarily explained with the clinicopathologic features and epidemiological characteristic of the patients. Patients with RCC had significantly worse OS compared to both LCC and ReC in several subgroups.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  Clinicopathologic features; Colorectal cancer; Left-side colon cancer; Post-surgical survival; Prognostic factors; Right-side colon cancer

Mesh:

Year:  2019        PMID: 31323459     DOI: 10.1016/j.canep.2019.07.004

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  9 in total

1.  Establishment and validation of a novel nomogram incorporating clinicopathological parameters into the TNM staging system to predict prognosis for stage II colorectal cancer.

Authors:  Shaobo Mo; Zheng Zhou; Long Zhang; Sanjun Cai; Junjie Peng; Yaqi Li; Xiang Hu; Xiaoji Ma
Journal:  Cancer Cell Int       Date:  2020-07-06       Impact factor: 5.722

2.  Nomograms for predicting specific distant metastatic sites and overall survival of colorectal cancer patients: A large population-based real-world study.

Authors:  Shaobo Mo; Xin Cai; Zheng Zhou; Yaqi Li; Xiang Hu; Xiaoji Ma; Long Zhang; Sanjun Cai; Junjie Peng
Journal:  Clin Transl Med       Date:  2020-01

3.  Rural-urban difference in colorectal cancer mortality.

Authors:  Tomoya Urakawa; Akihiro Saitsu; Jun Watanabe; Kazuhiko Kotani
Journal:  J Cancer       Date:  2021-04-13       Impact factor: 4.207

4.  Application of artificial intelligence in a real-world research for predicting the risk of liver metastasis in T1 colorectal cancer.

Authors:  Tenghui Han; Jun Zhu; Xiaoping Chen; Rujie Chen; Yu Jiang; Shuai Wang; Dong Xu; Gang Shen; Jianyong Zheng; Chunsheng Xu
Journal:  Cancer Cell Int       Date:  2022-01-15       Impact factor: 5.722

5.  Nomograms predicting cancer-specific survival for stage IV colorectal cancer with synchronous lung metastases.

Authors:  Pu Cheng; Haipeng Chen; Fei Huang; Jiyun Li; Hengchang Liu; Zhaoxu Zheng; Zhao Lu
Journal:  Sci Rep       Date:  2022-08-17       Impact factor: 4.996

6.  Metabolic reprogramming-associated genes predict overall survival for rectal cancer.

Authors:  Zhong-Yi Zhang; Qing-Zhi Yao; Hui-Yong Liu; Qiao-Nan Guo; Peng-Jun Qiu; Jian-Peng Chen; Jian-Qing Lin
Journal:  J Cell Mol Med       Date:  2020-04-13       Impact factor: 5.310

7.  Prognostic nomograms for predicting cause-specific survival and overall survival of stage I-III colon cancer patients: a large population-based study.

Authors:  Zheng Zhou; Shaobo Mo; Weixing Dai; Wenqiang Xiang; Lingyu Han; Qingguo Li; Renjie Wang; Lu Liu; Long Zhang; Sanjun Cai; Guoxiang Cai
Journal:  Cancer Cell Int       Date:  2019-12-27       Impact factor: 5.722

8.  Development and Internal Validation of a Nomogram-Based Model to Predict Three-Year and Five-Year Overall Survival in Patients with Stage II/III Colon Cancer.

Authors:  Dan Ren; Wen-Ling Wang; Gang Wang; Wei-Wei Chen; Xiao-Kai Li; Guo-Dong Li; Sai-Xi Bai; Hong-Min Dong; Wang-Hua Chen
Journal:  Cancer Manag Res       Date:  2022-01-14       Impact factor: 3.989

9.  Longitudinal associations of sociodemographic, lifestyle, and clinical factors with alcohol consumption in colorectal cancer survivors up to 2 years post-diagnosis.

Authors:  Dóra Révész; Martijn J L Bours; Johannes A Wegdam; Eric T P Keulen; Stéphanie O Breukink; Gerrit D Slooter; F Jeroen Vogelaar; Matty P Weijenberg; Floortje Mols
Journal:  Support Care Cancer       Date:  2021-03-24       Impact factor: 3.603

  9 in total

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