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find Author "WU Guiyi" 3 results
  • Relation between place of residence of patients with colorectal cancer and patient compliance or decision-making or treatment effect of neoadjuvant regimens: a real-world study based on DACCA

    ObjectiveTo analyze the relation between the place of residence of patients with colorectal cancer (CRC) and patient compliance or regimen decision-making or outcomes for neoadjuvant therapy (NAT) in the current version of the Database from Colorectal Cancer (DACCA). MethodsThe version of DACCA selected for this analysis was updated on June 29, 2022. The patients were enrolled according to the established screening criteria and then assigned into inside and outside of Sichuan Province groups as well as inside and outside of Chengdu City groups. The differences in the patient compliance or regimen decision-making or outcomes (changes of symptom and imaging, and cancer marker carcinoembryonic antigen) for NAT were analyzed. ResultsA total of 3 574 data that met the screened criteria were enrolled, 3 142 (87.91%) and 432 (12.09%) were inside of Sichuan Province group and outside of Sichuan Province group, respectively; 1 340 (42.65%) and 1 802 (57.35%) were inside of Chengdu City group and outside of Chengdu City group in Sichuan Province, respectively. ① The constituent ratios of the patient compliance for NAT had no statistical differences between the inside and outside of Sichuan Province groups (χ2=0.299, P=0.585) as well as between the inside and outside of Chengdu City groups (χ2=3.109, P=0.078). ② In terms of the impact of the place of residence on the decision-making of NAT: For the patients with targeted therapy or not, there was a statistical difference between the inside and outside of Sichuan Province groups (χ2=5.047, P=0.025), but which had no statistical difference between the inside and outside of Chengdu City groups (χ2=0.091, P=0.762); For the patients with radiotherapy or not, there were no statistical differences in the constituent ratios of patients between the inside and outside of Sichuan Province groups as well as between the inside and outside of Chengdu City groups (χ2=2.215, P=0.137; χ2=2.964, P=0.085); For the neoadjuvant intensity, there was a statistical difference between the inside and outside of Sichuan Province groups (χ2=12.472, P=0.002), but which had no statistical difference between the inside and outside of Chengdu City groups (χ2=2.488, P=0.288). ③ The outcomes for NAT: The changes of carcinoembryonic antigen had no statistical differences between the inside and outside of Sichuan Province groups as well as between the inside and outside of Chengdu City groups (H=1.762, P=0.184; H=3.531, P=0.060); In the symptom changes, there was a statistical difference between the inside and outside of Sichuan Province groups (χ2=3.896, P=0.048), which had no statistical difference between the inside and outside of Chengdu City groups (χ2=0.016, P=0.900); In the image changes, the difference was statistically significant between the inside and outside of Chengdu City groups (χ2=7.975, P=0.005), but which had no statistical difference between the inside and outside of Sichuan Province groups (χ2=0.063, P=0.802). ConclusionsThrough data analysis in DACCA in this study, it is found that there are no statistical differences in compliance and carcinoembryonic antigen changes. However, decision-making of NAT for patients of inside and outside of Sichuan Province has different choices on whether to assist targeted therapy and chemotherapy intensity for NAT; Symptom changes of NAT in patients of inside of Sichuan Province has a better effect than in patients of outside of Sichuan Province; Imaging change of NAT in patients of inside of Chengdu City has a better effect than in patients of outside of Chengdu City.

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  • Relationship between the residence and oncological characteristics of colorectal cancer patients: A real-world study based on DACCA

    Objective To analyze the relationship between the residence and oncological characteristics of colorectal patients served by Sichuan University West China Hospital as a regional center in the current version of the Database from Colorectal Cancer (DACCA). Methods The DACCA version selected for this data analysis was the updated version on January 5, 2022. The data items analyzed included: residence, precancerous lesions, family history of cancer, tumor location, tumor morphology, tumor orientation, tumor pathology, tumor differentiation and preoperative TNM staging. According to the regional distribution of colorectal cancer patients' residence in the database, they were divided into Sichuan group and non-Sichuan group, and the Sichuan group was further divided into Sichuan-Chengdu group and Sichuan-non-Chengdu group. Results The DACCA database was filtered by conditions to obtain 7 232 valid data. ① The composition ratio of precancerous lesions in different places of residence: The difference between the Sichuan group and the non-Sichuan group was statistically significant (χ2=14.462, P=0.003), and the difference between the Sichuan-Chengdu group and the Sichuan-non-Chengdu group was not statistically significant (χ2=7.591, P=0.101). ② Composition ratio of family history of cancer in different places of residence: In the family history of cancer in oneself, the difference between Sichuan group and non-Sichuan group as well as between Sichuan-Chengdu group and Sichuan-non-Chengdu group were not statistically significant (χ2=1.121, P=0.606; χ2=1.047, P=0.621). In the family history of cancer in relatives, the differences in the composition ratio of different tumor histories between the Sichuan group and the non-Sichuan group, and between the Sichuan-Chengdu group and the Sichuan-non-Chengdu group were not statistically significant (χ2=0.813, P=0.692; χ2=2.696, P=0.262). ③ Tumor site composition ratios in different places of residence: The difference between Sichuan group and non-Sichuan group was not statistically significant (χ2=0.476, P=0.490), and the difference between Sichuan-Chengdu group and Sichuan-non-Chengdu group was statistically significant (χ2=36.216, P<0.001). ④ Tumor morphology composition ratio in different places of residence: The difference between Sichuan group and non-Sichuan group was statistically significant (χ2=19.560, P<0.001), and the difference between Sichuan-Chengdu group and Sichuan-non-Chengdu group was not statistically significant (χ2=5.377, P=0.247). ⑤ Composition ratio of tumor orientation in different places of residence: The differences in composition ratio of tumor orientation between Sichuan group and non-Sichuan group and between Sichuan-Chengdu group and Sichuan-non-Chengdu group were statistically significant (χ2=17.484, P=0.005; χ2=26.820, P<0.001). ⑥ Composition ratio of tumor pathological properties under different residence: The differences in the comparison of pathological properties between Sichuan group and non-Sichuan group as well as between Sichuan-Chengdu group and Sichuan-non-Chengdu group of CRC patients were not statistically significant (χ2=8.136, P=0.408; χ2=7.278, P=0.506). ⑦ Composition ratio of tumor differentiation degree under different residence groupings: the differences in the composition ratio of tumors with different degrees of differentiation were not statistically significant between Sichuan group and non-Sichuan group, and between Sichuan-Chengdu group and Sichuan-non-Chengdu group (H=0.289, P=0.591; H=0.156, P=0.693). ⑧ The composition ratio of TNM staging of tumors before operation in different places of residence: between the Sichuan group and the non-Sichuan group, the difference in the composition ratio of preoperative TNM staging of CRC patients was statistically significant (H=8.023, P=0.005); between the Sichuan-Chengdu group and the Sichuan-non-Chengdu group, the difference in the composition ratio of preoperative TNM staging of CRC patients was not statistically significant (H=0.218, P=0.640). Conclusions Data analysis in DACCA reveal multiple associations between the place of residence and oncological characteristics of CRC patients. There are differences in the composition of the types of precancerous lesions among CRC patients in different places of residence. The proportion of CRC is higher in the family history of cancer. In terms of the site of tumor occurrence, the proportion of tumors located in the rectum is higher than that in the colon. In the composition of tumor morphology in all regions, the ulcerative type is the most frequent. The composition of tumor orientation is different in patients with CRC, and those who has involved a circle of the intestinal wall are the most frequent. Most CRC patients are already in middle or late stage when the tumor is discovered, and the proportion of middle or late stage patients in non-Sichuan provinces was even higher.

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  • Relation between occupation and long-term prognosis in patients with colorectal cancer: a real-world study based on DACCA database

    ObjectiveTo understand the relation between the occupation and long-term prognosis of the patients with colorectal cancer (CRC) based on the Database from Colorectal Cancer (DACCA). MethodsThe selected updated DACCA database as of June 29, 2022 was used for this study. The demographic variables selected in this study included the gender, age, and occupation; The oncology variables included pathological TNM (pTNM) stage, tumor location, tumor pathology, and differentiation; And the outcome variable was survival status, including overall survival rate and disease-specific survival rate. The included patients were divided into an intellectual occupations group (intellectual group) and manual occupations group (manual group) referring to relevant regulatory documents in China. The survival status of the intellectual group and the manual group was compared, and then which were stratified comparison by pTNM stage. ResultsA total of 1 974 pieces of patients data were included from the DACCA database according to the selection criteria, 349 of whom in the intellectual group and 1 625 of whom in the manual group. The intellectual group had better 5-year cumulative overall survival rate (92.1% vs. 84.5%, P<0.001) and disease-specific survival rate (92.1% vs. 85.8%, P=0.002), as well as better 10-year cumulative overall survival rate (72.4% vs. 55.2%, P<0.001) and disease-specific survival rate (75.4% vs. 59.1%, P<0.001) compared to the manual group. The stratified analysis by pTNM staging found that, for the patients with pTNM stage Ⅲ, the 5- and 10-year cumulative overall survival rate of the intellectual group were better than the manual group (94.0% vs. 82.3%, P<0.001; 67.1% vs. 43.7%, P=0.014), while the 5- and 10-year cumulative disease-specific survival rate were the same as the overall survival rate (94.0% vs. 83.5%, P=0.001; 69.5% vs. 47.9%, P=0.026). Furthermore for the the patients with pTNM stage Ⅱ, it was found that the the 10-year cumulative disease-specific survival rate of the intellectual group was better than the manual group (93.5% vs. 78.7%, P=0.009). ConclusionsFrom the analysis results of this study, occupation might be related to long-term prognosis in colorectal cancer patients. A general trend is that the long-term prognosis of patients with intellectual occupations might be better than that of patients with manual occupations, and this difference might be relatively significant in the patients with pTNM Ⅱ and pTNM Ⅱ stages, but it is need to be autious and objective.

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