ObjectiveTo analyze the neoadjuvant therapy of colorectal cancer in this center in the background of real world data by studying Database from Colorectal Cancer (DACCA) in West China Hospital of Sichuan University.MethodsData was selected from DACCA who was updated on August 15, 2019. After deleting duplicate value, patients whose tumor location and tumor pathologic characteristic showed colon or rectum, as well as adenocarcinoma, mucinous adenocarcinoma, and signet ring cell carcinoma were enrolled.ResultsThere were 2 783, 2 789, 2 790, 2 811, 4 148,3 824, 4 191, 3 676, 4 090, and 499 valid data of T, N, and M stages, clinical stages, tumor site, distance from tumor to anal dentate line, tumor pathologic characteristics, degree of tumor differentiation, neoadjuvant therapy, and compliance, respectively. There were 1 839 lines that " nature of the tumor pathology” was not empty and neoadjuvant scheme for the pure chemotherapy, radiotherapy alone or radiation, and chemotherapy, including 50 lines of signet ring cell carcinoma (2.7%), 299 lines of mucous adenocarcinoma (16.3%), 1 490 lines of adenocarcinoma (81.0%), various kinds of pathology in selection of neoadjuvant therapy difference was statistically significant (χ2=9.138, P=0.041). Except for the data lines with null value in the column of " operation date”, there were 2 234 (82.1%) and 486 (17.9%) effective data lines of " recommended” and " not recommended” for the use of neoadjuvant therapy, respectively. In the years with a large amount of data, among the patients who completed neoadjuvant therapy, the proportion of patients meeting the recommended indications was 27.4%–67.6%, with an average of 47.4%. Patients who did not meet the recommended indications but were recommended (off-label use) accounted for 7.3%–70.0%, with an average of 39.8%. According to regression analysis, the proportion in line with the recommendation (\begin{document}$\hat y $\end{document}=–0.032 5x+66.003 2, P=0.020) varies with the year, and the overall trend shows a gradual decline. The proportion of the use of super indications (\begin{document}$\hat y $\end{document}=–0.054 5x+110.174 6, P=0.002) changed with the year, and the overall trend showed a decline. A total of 1 161 valid data with non-null values of " eoadjuvant therapy regimen” and " recommended or not recommended” showed statistically significant difference in the use rate of neoadjuvant therapy among patients with different recommendation groups (χ2=9.244, P=0.002). " Patient compliance” was shown as " active cooperation” and " passive acceptance”, and " neoadjuvant therapy” was shown as " radiotherapy alone”" chemotherapy alone”, and " chemoradiotherapy” were 470 lines. There was no statistically significant difference in neoadjuvant therapy between patients receiving active and passive treatment (χ2=0.537, P=0.841). The effective data of clinical remission degree meeting the research conditions were 388 lines, including 121 lines of complete response (31.2%), 180 lines of partial response (46.4%), 79 lines of stable disease (20.4%), and 8 lines of progressive disease (2.1%). There was no statistically significant difference in clinical response degree among patients with different neoadjuvant therapy (H=0.435, P=0.783). There were 346 lines with effective data of pathologic tumor regression grade (TRG) meeting the study conditions, including 47 lines with TRG0 (13.6%), 39 lines with TRG1 (11.3%), 180 lines with TRG2 (52.0%), and 80 lines with TRG3 (23.1%). There was no statistical difference in the degree of TRG among patients with different neoadjuvant therapy (H=1.816, P=0.518).ConclusionsThe real world study reflects that in the western regional medical center, the demand for neoadjuvant therapy among the patients with colorectal cancer covered is huge. Although the implementation of neoadjuvant therapy is greatly influenced by the doctor’s recommendation behavior, the selection and recommendation of neoadjuvant therapy according to some specific clinical application guidelines are not fully met. The impact of more behavioral factors requires further in-depth analysis and research.
objective To analyze the impact of body mass index (BMI) on medical and surgical complications of colorectal cancer patients served by West China Hospital, based on the current version of Database from Colorectal Cancer (DACCA). Methods The data of DACCA was updated on September 27, 2021. The data included BMI, surgical complications, liver nodules, liver function, renal nodules, renal function, operation history, medical complications, diabetes, hypertension, pneumonia, pulmonary nodules, pulmonary function, heart disease, thrombosis, and cardiac function. Results After scanning, 5 305 data rows were included. BMI was divided by Chinese four classification methods. The analysis results showed that in terms of surgical complications, obese patients were more likely to be complicated with surgical complications of digestive system (χ2= 43.883, P<0.001) and reproductive system (χ2=13.139, P=0.004). Lean patients were more likely to have surgical complications of urinary system (χ2=223.415, P<0.001), and obese patients had liver function (H=61.521, P<0.001) and renal function (H=9.994, P=0.019) might be even worse. In terms of operation history, BMI in colorectal cancer patients had nothing to do with the number of times of operation (H=6.262, P=0.100), and operation history of each system or department (P>0.05). Regarding to medical complications, with the increase of BMI, the risk of colorectal cancer patients with diabetes mellitus (χ2=118.597, P<0.001), or hypertension (χ2= 163.334, P< 0.001) increased. Patients with low BMI were more likely to have pneumonia (H=7.899, P= 0.048) and worse pulmonary function (H=40.673, P<0.001). Conclusions The analysis results of DACCA database show that BMI is not related to the occurrence of any special surgical history included in the research. Because the internal and external complications of patients are closely related to the treatment plan and prognosis, we should pay more attention to the obese patients in the process of clinical treatment, and they are more likely to have multisystemic abnormalities and various abnormal indicators than other patients. For thin patients, we should pay more attention to their lung function and inflammatory lesions, so as to improve the clinical therapeutic effect.
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.
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.
ObjectiveTo analyze the impact of neoadjuvant regimens on prognosis in patients with rectal cancer in the current version of the Database from Colorectal Cancer (DACCA) database. MethodsPatient information was extracted from the updated version of DACCA on November 24, 2022 according to the established screening criteria, and the following items were analyzed: gender, age, body mass index (BMI), marriage, economic conditions, degree of differentiation, neoadjuvant treatment regimen, and pTNM staging. According to the neoadjuvant treatment regimen, the patients were divided into three groups: chemotherapy group, chemotherapy combined radiotherapy group, and chemotherapy combined targeted therapy group, and the overall survival (OS) and disease-specific survival (DSS) of patients in the three groups were analyzed, and the influencing factors of OS and DSS were analyzed by univariate and multivariate Cox proportional hazard regression models. ResultsAccording to the screening criteria, 1 716 valid data were obtained from the DACCA database, of which 954 (55.6%) were in the chemotherapy group, 332 (19.3%) in the chemotherapy combined radiotherapy group, and 430 (25.1%) in the chemotherapy combined targeted therapy group. The differences in the Kaplan-Merier survival curves of patients with different neoadjuvant regimens for OS and DSS in the three groups were statistically significant (χ2=142.142, P＜0.001; χ2=129.528, P＜0.001). There were significant differences in OS rate and DSS rate between the three groups in 3 years and 5 years (P<0.001). Further comparison of different neoadjuvant therapy groups showed that the OS of the chemotherapy combined targeted therapy group was slightly better than that of the chemotherapy group in 3 years, however, OS and DSS in 5 years were slightly worse than those the chemotherapy group, but the difference were not statistically significant (P>0.05). The OS and DSS of the chemotherapy group and the chemotherapy combined targeted therapy group were better than those of the chemotherapy combined radiotherapy group in 3 years and 5 years, and the differences were statistically significant (P<0.01). The results of multivariate analysis showed that patients’ age, economic conditions, degree of tumor differentiation, new auxiliary scheme and pTNM staging were the influencing factors of OS and DSS. ConclusionNeoadjuvant treatment regimen will affect the long-term survival prognosis of rectal cancer patients.