Objectives To observe the expression of CCL1/CCR8 mRNA in murine lung tissue of bronchial asthma and effects of glucocorticoids on their expression. Methods Thirthy healthy mice were randomly divided into a control group, an asthma group, and a dexamethasone group, with 10 mice in each group. The sensitized murine asthma model was induced by ovalbumin sensitization and challenge, and the dexamethasone group were peritoneally injected with dexamethasone( 2 mg/ kg) . Total and differential cell counts in BALF were measured. IL-4 Level in BALF was evaluated by ELISA. The expression of CCL1 and CCR8 mRNA in the lungs were measured by semi-quantitative RT-PCR. Results The percentage of eosinophils, lymphocyte and IL-4 level in the asthma group increased significantly compared with the controlgroup, and which in the dexamethasone group decreased significantly compared with the asthma group and still higher than the control group( all P lt; 0. 01) . The expression of CCL1 and CCR8 mRNA had the same tendency ( all P lt;0. 01) . Conclusions The gene expression of CCL1/CCR8 is up-regulated in allergic asthma mice.Glucocorticoids can relieve airway inflammation of asthma probably by inhibiting CCL1/CCR8 expression.
ObjectiveBased on the current version of Database from Colorectal Cancer (DACCA), we aimed to analyze the comorbidities and preoperative physical status of colorectal cancer patients.MethodsThe DACCA version selected for this data analysis was updated on May 9, 2019. The data items included: surgical comorbidities and classified by systems, surgical history, pelvic disease history, medical comorbidities, and some important subdivision types, infectious disease status, allergic history, nutrition risk screening 2002 (NRS2002) score, amount of weight loss after illness, anemia, low protein status, preoperative ascites status, preoperative pleural effusion status, immune system disease and immunocompromised status, and preoperative nutritional support. Characteristic analysis was performed on each selected data item.ResultsA total of 6 166 admitted data were filtered from the DACCA database. Among them, surgical comorbidities, surgical history, medical comorbidities, and allergy history had 6 166 admitted data, and weight loss had admitted 4 703. There were 2 923 (47.4%) with surgical comorbidities. According to the system, the most common one was digestive system (2 005, 68.6%), and the least one was skin tissue system (24, 0.8%). There were 4 361 (70.7%) patients without surgical history and 1 805 (29.3%) patients had surgical history. There were 2 397 (38.9%) patients without medical comorbidities and 3 769 (61.1%) had medical comorbidities, of which pneumonia/pulmonary infection/chronic bronchopneumonia/lung indeterminate nodules were the most common(2 330, 37.8%), the least was cerebral infarction (unspecified type, 63, 1.0%). There were 5 813 (94.3%) without allergy history and 353 (5.7%) had allergy history. According to the NRS2002 nutrition screening criteria, the scores ranged from 1 to 7 points, with an average of 1.22 points, which could be classified as non-nutrition risk (5 279, 85.6%, included 1 point of 4 310, 2 points of 969), nutritional risk (887, 14.4%, included 3 points of 415, 4 points of 358, 5 points of 100, 6 points of 12, and 7 points of 2), the result of linear regression analysis of NRS2002 scores with the trend of the year showed that: ŷ=0.000 2x–6.275 8, R2=0.716 2, P<0.001. A total of 2 840 (60.4%) had no weight loss while 1 863 (39.6%) had, and weight loss with the trend of year were analyzed by linear regression analysis: ŷ=0.000 2x–3.956, R2=0.685 7, P<0.001. The number of cases of other physical status and the proportion of valid data were anemia (1 194, 33.1%), preoperative ascites (1829, 51.7%), preoperative pleural effusion (171, 5.7%), hypoproteinemia (1 206, 33.6%), immune system disease and immunocompromised status (495, 56.6%), and nutritional support (824, 25.0%).ConclusionsThrough the analysis of the DACCA database, nearly 1/2 of colorectal cancer surgery patients have surgical comorbidities before surgery, more than 1/2 of the patients have medical comorbidities, and the types of diseases are various. Preoperative nutritional status in patients with colorectal cancer also shows certain characteristics, suggesting the state of preoperative risk. These data will provide a detailed big data basis for future preoperative risk assessment of colorectal cancer.
ObjectiveTo explain surgical and medical comorbidities and preoperative physical status of colorectal cancer in detail as well as their tags and structures of Database from Colorectal Cancer (DACCA) in West China Hospital.MethodThe article was described in words.ResultsThe definition to the surgical comorbidities with its related content module, the medical comorbidity with its related content modules, and the preoperative physical status and characteristics of the DACCA in West China Hospital were given. The data label corresponding to each item in the database and the structured way needed for the big data application stage in detail were explained. And the error correction notes for all classification items were described.ConclusionsThrough the detailed description of the medical and surgical comorbidities and the preoperative physical status of DACCA in West China Hospital, it provides the standard and basis for the clinical application of DACCA in the future, and provides reference for other peers who wish to build a colorectal cancer database.
ObjectiveBased on the current version of Database from Colorectal Cancer (DACCA), we aimed to analyze the preoperative specialized examination and evaluation of colorectal cancer.MethodsThe DACCA version selected for this data analysis was updated on July 25, 2019. The data items included: combined preoperative stage, integrating degree of combined preoperative stage, preoperative diagnostic intensity, accuracy of colonoscopy, tumorous type by biopsy, tumor differentiation by biopsy, completion of chest CT, CT stage, accuracy of CT stage, outcome of transrectal ultrasound, outcome of liver ultrasound, MRI stage, accuracy of MRI stage, outcome of PET-CT, outcome of bone scanning, diagnostic way at first visit, misdiagnosis and mistreatment. Characteristic analysis was performed on each selected data item.ResultsA total of 4 484 admitted data were filtered from the DACCA database. The effective data of accuracy of preoperative CT examination, evaluation of preoperative CT staging, preoperative MRI accuracy, preoperative MRI evaluation stage, the accuracy of preoperative transrectal ultrasound, preoperative liver ultrasound accuracy, the accuracy of preoperative bone scan, preoperative PET-CT accuracy, completion of colonoscopy, preoperative colonoscopy biopsy pathology type, strength of diagnosis, integrating degree of total preoperative staging, preoperative staging and pathological staging, factors of the first diagnosis, misdiagnosis and mistreatment were 3 877 (86.5%), 3 166 (70.6%), 3 480 (77.6%), 286 (6.4%), 3 607 (80.4%), 2 736 (61.0%), 3 570 (79.6%), 3 490 (77.8%), 3 847 (85.8%), 3 636 (81.1%), 3 981 (88.8%), 2 346 (52.3%), 2 209 (49.3%), 3 466 (77.3%), and 3 411 (76.1%), respectively. Among the preoperative CT stages, phase Ⅳ had the highest accuracy (86.6%), phase Ⅰ had the highest rate of underestimation (30.4%), and phase Ⅲ had the highest rate of overestimation (21.8%). Preoperative CT accuracy, excluding errors caused by too few data rows, was 66.8%–83.7% in other years. Among the preoperative MRI stages, stage Ⅳ showed the highest accuracy (89.1%), stage Ⅰ showed the highest rate of underestimation (33.3%), and stage Ⅲ showed the highest rate of overestimation (13.3%). Preoperative MRI evaluation accuracy gradually increased from 2016 to 2019. The accuracy of transrectal ultrasound, liver ultrasound, bone scan, and PET-CT were 287 (76.7%), 145 (99.3%), 301 (98.7%), and 15 (93.8%), respectively. The most pathological type under colonoscopy was adenocarcinoma, accounting for 82.2%. The lowest was stromal tumor and lymphoma, each below 0.1%. The diagnostic efficiency were 3 445 (86.5%) with grade A, 316 (7.9%) with grade B, and 220 (5.5%) with grade C. In the preoperative total staging, 109 data rows (4.9%) were appeared as stage Ⅰ, 615 (27.5%) as stage Ⅱ, 1 263 (56.6%) as stage Ⅲ, and 245 (11.0%) as stage Ⅳ. The preoperative total staging integrating degree in stage Ⅳ was the highest (98.7%), while the underestimate rate in stage Ⅱ was the highest (28.3%), and the overestimate rate in stage Ⅲ was the highest (20.6%). From 2008 to 2019, the integrating degree between preoperative comprehensive staging and final pathology staging ranged from 70.8% to 87.7%. Among the factors of the first diagnosis, digital examination was found the frequently (64.0%), followed by symptoms such as bleeding and obstruction (28.2%). Considering family history, the proportion of patients with colorectal cancer was the least (less than 0.1%). There were 442 cases (13.0%) of misdiagnosis and mistreatment behaviors, among which 207 cases (46.8%) were misdiagnosed as hemorrhoids.ConclusionsTo significantly improve the long-term survival rate of colorectal cancer patients requires preoperative imaging diagnosis efficiency and multi-factor evaluation staging to break through the limitation of development, so as to optimize the choice of treatment plan, increasing the prevalence of early screening for colorectal cancer, and reducing the rate of misdiagnosis and mistreatment at the first visit of colorectal cancer.
ObjectiveTo elaborate constitute, definition, and interpretation of tumor characteristics module of colorectal cancer in the Database from Colorectal Cancer (DACCA) in the West China Hospital.MethodThe article was described in the words.ResultsThe tumor features module of colorectal cancer in the DACCA included the precancerous lesion, cancer family, location of tumor, distance to the dentate line, morphology of tumor, size, position, happening and origination, differentiation, pathology of tumor, Ki67 protein, obstruction, intussusception, perforation, pain, edema, and hemorrhage. The exact definitions of precancerous lesion, cancer family, location of tumor, distance to the dentate line, classification of precancerous lesion, division of location of tumor, filling form of cancer family, and tag and structure, corrective precautions and update of these columns, and how to use these tumor characteristics in the DACCA when analysis was carried out were described in detail.ConclusionsThrough detailed description and specification of current tumor characteristics module of colorectal cancer in DACCA in West China Hospital, it can provide a reference for standardized treatment of colorectal cancer and also provide experiences for the peers who wish to build a colorectal cancer database.
ObjectiveTo elaborate constitute, definition, and interpretation of tumor characteristics module of colorectal cancer in the Database from Colorectal Cancer (DACCA) in the West China Hospital.MethodThe article was described in the words.ResultsThe tumor features module of colorectal cancer in the DACCA included the precancerous lesion, cancer family, location of tumor, distance to the dentate line, morphology of tumor, size, position, happening and origination, differentiation, pathology of tumor, Ki-67 protein, obstruction, intussusception, perforation, pain, edema, and hemorrhage. The exact definitions of morphology of tumor, size, position, differentiation, pathology of tumor, Ki-67 protein and complication (included obstruction, intussusception, perforation, pain, edema, and hemorrhage), tag and structure, corrective precautions and update of these columns, and how to use these tumor characteristics in the DACCA when analysis was carried out were described in detail.ConclusionThrough detailed description and specification of current tumor characteristics module of colorectal cancer in DACCA in West China Hospital, it can provide a reference for standardized treatment of colorectal cancer and also provide experiences for the peers who wish to build a colorectal cancer database.
ObjectiveTo elaborate constitute, definition, and interpretation of stage module of colorectal cancer in the Database from Colorectal Cancer (DACCA) in the West China Hospital.MethodThe article was described in the words.ResultsIn the DACCA, the columns were selected by the colorectal cancer staging module. The overall stages included: the stage during surgery, cpi comprehensive stage, and TNM stage. The classified stages included: the T, N, and M stages of pathology, clinical, and imaging; The risk factors included the cancerous contamination and high-risk factors. Then these items were subdivided and detailed for their definition, form, label and structure, error correction and update, and how to be used in the analysis of data in the DACCA.ConclusionsThrough detailed description and specification of current stage module of colorectal cancer in DACCA in West China Hospital, it can provide a reference for standardized treatment of colorectal cancer and also provide experiences for the peers who wish to build a colorectal cancer database.
ObjectiveTo analyze the characteristics of colorectal cancer surgery in the current version of Database from Colorectal Cancer (DACCA).MethodsThe DACCA version selected for this data analysis was the updated version on April 16th, 2020. The data items included timing of operation, types of operative procedure, radical resection level of operation, patient’s wish of anus-reserving, types of stomy, date of stoma closure, surgical approaches, extended resection, and type of intersphincteric resection (ISR). The data item interval of stoma closure was added, and the selected data items were statistically analyzed.ResultsThe total number of medical records (data rows) that met the criteria was 11 757, including 2 729 valid data on the timing of operation (23.2%), 11 389 valid data on the types of operative procedure (96.9%), 4 255 valid data on the radical resection level of operation (36.2%), 3 803 valid data on patient’s wish of anus-reserving (32.3%), 4 377 valid data on types of stomy (37.2%), 989 valid data on date of stoma closure (8.4%), 4 418 valid data on surgical approaches (37.6%), 3 941 valid data on extended resection (33.5%), and 1 156 valid data on type of ISR (9.8%). In the timing of operation, the most cases were performed immediately after discovery or neoadjuvant completion (915, 33.5%). In types of operative procedure, ultra low anterior resection (ULAR), right hemicolectomy (RHC), and low anterior resection (LAR) were the most, including 1 986 (17.4%), 1 412 (12.4%), and 1 041 (9.1%) lines. Respectively in the colon and rectal cancer surgery, the proportion of RHC (50.0%) and ULAR (26.0%) was the highest, with 172 (26.1%) and 815 (27.9%) extended resection. In ISR surgery the majority was ISR-2 (741, 64.1%). In radical resection level of operation, the number of R0 was the largest with 2 575 (60.5%) lines. In patient’s wish of anus-reserving, positive and rational were the most with 1 811 (47.6%) and 1 440 (37.9%) lines, respectively. And in types of stomy, there were 2 628 lines (60.0%) without stoma and 1 749 cases (40.0%) with stoma, among which the most lines were right lower ileum stoma (612, 35.0%). The minimum value, maximum value, and median value of interval of stoma closure were 0 d, 2 678 d and 112 d. The linear regression prediction of date of stoma closure by year was \begin{document}${\hat {y}} $\end{document}=9.234 3x+22.394 (R2=0.2928, P=0.07). In the surgical approaches, the majority was standard with 3 182 (72.0%) lines.ConclusionsIn the DACCA, rectal cancer surgery is still the majority, and ULAR is the most type. The application of extended resection in both colon and rectal cancer has important significance. The data related to stoma are diversified and need to be further studied.
ObjectiveTo elaborate constitute, definition, and interpretation of operative characteristics of colorectal cancer in the Database from Colorectal Cancer (DACCA) in the West China Hospital.MethodThe article was described in the words.ResultsIn the DACCA, the operative characteristics module of colorectal cancer mainly included five parts: surgical characteristics, surgical methods, operative skills in details, surgical difficulties, and surgical quality evaluation. Then the surgical characteristics were detailed for their definition, form, label and structure, error correction and update, and how to be used in the analysis of data in the DACCA.ConclusionsThrough detailed description and speci-fication of surgical characteristics of colorectal cancer in DACCA in West China Hospital, it can provide a reference for standar-dized treatment of colorectal cancer and also provide experiences for the peers who wish to build a colorectal cancer database.
ObjectiveTo describe the characteristics of colorectal cancer surgical procedures in the West China Colorectal Cancer Database (Database from Colorectal Cancer, DACCA).MethodWe used the form of text description.ResultsThe related content modules of DACCA operation in West China, included operative type, radical resection level, anus preservation, stoma type, the date of closure, surgical approach, expansive resection, intersphincteric resection (ISR), etc. were elaborated. The data label related method corresponding to each item in the database and the structured method required in the corresponding big data application stage were elaborated, and the error correction precautions of all classified items were described.ConclusionsIn the DACCA database, there are more detailed classification for the radical treatment of colorectal cancer. The application of expanded surgery is of great significance for both colon cancer and rectal cancer; stoma-related data has diversified data characteristics, which will provides standards and basis for clinical application of DACCA, and also provides experience reference for other colleagues who want to build colorectal cancer database.