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find Keyword "oncological characteristics" 2 results
  • 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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  • Relationship between educational level and oncological characteristics of colorectal cancer patients: A real-world study based on DACCA

    ObjectiveTo analyze the relationship between educational level and oncological characteristics of colorectal patients served by Sichuan University West China Hospital in the current version of the Database from Colorectal Cancer (DACCA). MethodsThe DACCA version selected for this data analysis was the updated version on June 29, 2022. The data items analyzed included: educational level, precancerous lesions, family history of cancer, tumor location, tumor orientation, tumor pathology, tumor morphology, tumor differentiation and preoperative TNM staging. According to Article 17 of the Education Law of the People’s Republic of China, the educational level of the research subjects was divided into four categories: illiteracy group, the primary educated group (elementary school), the secondary educated group (middle school, high school, vocational school and technical school), and the higher educated group (university, higher vocational school, junior college and above). ResultsThe DACCA database was filtered by conditions to obtain 5 512 valid data. The data analysis results showed that there were statistically significant differences in the composition ratios of precancerous lesions (χ2=27.398, P<0.001), tumor site (χ2=42.610, P<0.001) and tumor orientation (χ2=18.967, P=0.025) among the different education groups, and there were not statistically significant differences in the composition ratios of family history of cancer in oneself (χ2=9.345, P=0.133) or in the family (χ2=4.310, P=0.635), tumor pathological properties (χ2=27.027, P=0.202), tumor morphology (χ2=16.283, P=0.061), tumor differentiation degree (H=3.672, P=0.299) and the TNM staging of tumors before operation (H=0.156, P=0.984) among the different education groups. ConclusionsData analysis in DACCA reveal multiple associations between educational level and oncological characteristics of colorectal cancer patients. The education level of patients has a certain reference value in the investigation of various precancerous lesions. With the increase of education level, the proportion of tumors located in the rectum gradually decreases, and the proportion located in the colon gradually increases, and education level may affect treatment and prognosis by influencing preoperative tumor characteristics.

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