Database research part <b>Ⅴ</b>: tumor characteristics of colorectal cancer_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

WANG Xiaodong ¹ , CHEN Mengran ^1,2 , ZENG Yu ^1,2 , LIU Jianbo ^1,2 ,  LI Li ¹

1. Department of Gastrointestinal Surgery, West China Hospital of Sichuan University, Chengdu 610041, P. R. China;
2. West China School of Medicine, Sichuan University, Chengdu 610041, P. R. China;

Corresponding author：

LI Li, Email: drlili116@126.com

Keywords：

colorectal cancer; database; big data; precancerous lesion; tumor location; differentiation; pathology

DOI：

10.7507/1007-9424.201911119

Video：

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Objective To analyze the tumor characteristics of colorectal cancer in the current version of Database from Colorectal Cancer (DACCA).Methods The DACCA version was the updated version on September 26, 2019. The data items included: date of surgery, precancerous lesions, cancer family, tumor site, distance to the dentate line, morphology of tumor, size, position, happening and origination, differentiation, pathology of tumor, Ki-67 of protein, complications (included obstruction, intussusception, perforation, pain, edema, and hemorrhage) were analyzed for the characteristics of each selected data item.Results A total of 11 898 analyzable data rows were obtained by screening the DACCA database. Among the 11 898 pieces of data, the effective data of precancerous lesions was 1 275, including 541 (42.4%) with precancerous lesions, and 734 (57.6%) without precancerous lesions. There were 1 116 valid data on cancer families, and 761 (6.4%) had a family history of cancer. The Ki-67 index had a total of 1 893 valid data, which ranged form 0 to 95% [(59.0±20.1) %]. According to the classification of tumor occurrence, the primary colorectal cancer accounted for the vast majority (92.8%), and the metastatic colorectal cancer was the least (0.3%). According to the primary and multiple primary, respectively analysis of tumor site, distance to the dentate line, morphology of tumor, size, position, differentiation, and pathology of tumor showed that, most tumor’s position were in the rectum (76.9%, 41.9%), the most common morphology was ulcers (42.4%, 51.5%), the most tumors were located around the wall of intestine (44.6%, 35.0%), the degree of differentiation was mostly moderate (65.4%, 61.3%), most of the tumor pathologies were adenocarcinoma (77.8%, 64.0%).Conclusion A more accurate and detailed analysis of colorectal cancer tumor characteristics by the DACCA database is helpful for determining the diagnosis and treatment plan in clinical work, judging the prognosis, and so on.

Citation： WANG Xiaodong, CHEN Mengran, ZENG Yu, LIU Jianbo, LI Li. Database research part Ⅴ: tumor characteristics of colorectal cancer. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2020, 27(2): 196-208. doi: 10.7507/1007-9424.201911119 Copy

1.	汪晓东, 安丽珉, 李立. 数据库研究第二部分: 结直肠癌的住院流程管理. 中国普外基础与临床杂志, 2019, 26(4): 469-475.
2.	汪晓东, 李立. 数据库建设第一部分: 个人数据的标签与结构化. 中国普外基础与临床杂志, 2019, 26(3): 335-342.
3.	汪晓东, 李立. 真实场景与大数据下的整体微创理念, 大幅提高结直肠癌远期生存率. 中国普外基础与临床杂志, 2019, 26(1): 92-95.
4.	汪晓东, 李希, 何欣林, 等. 数据库研究第一部分: 区域性医疗中心的结直肠癌与人群特征. 中国普外基础与临床杂志, 2019, 26(2): 212-220.
5.	汪晓东, 刘健博, 安丽珉, 等. 数据库研究第四部分: 结直肠癌的术前专科检查与评估. 中国普外基础与临床杂志, 2019, 26(10): 1230-1238.
6.	汪晓东, 刘健博, 李立. 数据库建设第三部分: 结直肠癌内外科合并症及术前体质状态的标签与结构化. 中国普外基础与临床杂志, 2019, 26(9): 1110-1115.
7.	汪晓东, 刘健博, 张诗, 等. 数据库研究第三部分: 结直肠癌的内外科合并症及术前体质状态. 中国普外基础与临床杂志, 2019, 26(8): 985-991.
8.	汪晓东, 吕炘沂, 黄明君, 等. 数据库建设第二部分: 结直肠癌住院流程管理的标签与结构化. 中国普外基础与临床杂志, 2019, 26(7): 852-855.
9.	于瑞璇, 何欣林, 张秋露, 等. 华西DACCA的辅助研究: 单独的新辅助化疗不会影响直肠癌术后近期的肛门功能. 中国普外基础与临床杂志, 2019, 26(5): 595-601.
10.	刘健博, 吕炘沂, 邹雨恒, 等. 多周期新辅助化疗联合阿帕替尼对进展期直肠癌的疗效评价: 基于DACCA数据库的辅助研究. 中国普外基础与临床杂志, 2019, 26(6): 728-734.
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15.	国家消化系统疾病临床医学研究中心(上海), 国家消化道早癌防治中心联盟, 中华医学会消化内镜学分会, 等. 中国早期结直肠癌筛查流程专家共识意见 (2019, 上海). 中华内科杂志, 2019, 58(10): 736-744.
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17.	郝敬鹏, 王晖, 史刚刚, 等. 结直肠癌筛查的临床研究进展. 国际生物医学工程杂志, 2019, 42(2): 177-180.
18.	Simon K. Colorectal cancer development and advances in screening. Clin Interv Aging, 2016, 11: 967-976.
19.	Church J, Simmang C, Standards Task Force, et al. Practice parameters for the treatment of patients with dominantly inherited colorectal cancer (familial adenomatous polyposis and hereditary nonpolyposis colorectal cancer). Dis Colon Rectum, 2003, 46(8): 1001-1012.
20.	Henrikson NB, Webber EM, Goddard KA, et al. Family history and the natural history of colorectal cancer: systematic review. Genet Med, 2015, 17(9): 702-712.
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22.	Talseth-Palmer BA. The genetic basis of colonic adenomatous polyposis syndromes. Hered Cancer Clin Pract, 2017, 15: 5.
23.	Tamas K, Walenkamp AM, de Vries EG, et al. Rectal and colon cancer: not just a different anatomic site. Cancer Treat Rev, 2015, 41(8): 671-679.
24.	Straja ND, Ionescu S, Brătucu E, et al. Morbidity after ultra low anterior resection of the rectum. Chirurgia (Bucur), 2015, 110(3): 231-236.
25.	Soldatkina NV, Kit OI, Gevorkyan YA, et al. Multiple primary colorectal cancer: clinical aspects. Ter Arkh, 2016, 88(8): 53-58.
26.	Wang YP, Guo PT, Zhu Z, et al. Macroscopic serosal classification of colorectal cancer and its clinical significance. Int J Clin Exp Med, 2015, 8(11): 20123-20134.
27.	Pisano M, Zorcolo L, Merli C, et al. 2017 WSES guidelines on colon and rectal cancer emergencies: obstruction and perforation. World J Emerg Surg, 2018, 13: 36.
28.	Usher-Smith JA, Walter FM, Emery JD, et al. Risk prediction models for colorectal cancer: a systematic review. Cancer Prev Res, 2016, 9(1): 13-26.

1. 汪晓东, 安丽珉, 李立. 数据库研究第二部分: 结直肠癌的住院流程管理. 中国普外基础与临床杂志, 2019, 26(4): 469-475.
2. 汪晓东, 李立. 数据库建设第一部分: 个人数据的标签与结构化. 中国普外基础与临床杂志, 2019, 26(3): 335-342.
3. 汪晓东, 李立. 真实场景与大数据下的整体微创理念, 大幅提高结直肠癌远期生存率. 中国普外基础与临床杂志, 2019, 26(1): 92-95.
4. 汪晓东, 李希, 何欣林, 等. 数据库研究第一部分: 区域性医疗中心的结直肠癌与人群特征. 中国普外基础与临床杂志, 2019, 26(2): 212-220.
5. 汪晓东, 刘健博, 安丽珉, 等. 数据库研究第四部分: 结直肠癌的术前专科检查与评估. 中国普外基础与临床杂志, 2019, 26(10): 1230-1238.
6. 汪晓东, 刘健博, 李立. 数据库建设第三部分: 结直肠癌内外科合并症及术前体质状态的标签与结构化. 中国普外基础与临床杂志, 2019, 26(9): 1110-1115.
7. 汪晓东, 刘健博, 张诗, 等. 数据库研究第三部分: 结直肠癌的内外科合并症及术前体质状态. 中国普外基础与临床杂志, 2019, 26(8): 985-991.
8. 汪晓东, 吕炘沂, 黄明君, 等. 数据库建设第二部分: 结直肠癌住院流程管理的标签与结构化. 中国普外基础与临床杂志, 2019, 26(7): 852-855.
9. 于瑞璇, 何欣林, 张秋露, 等. 华西DACCA的辅助研究: 单独的新辅助化疗不会影响直肠癌术后近期的肛门功能. 中国普外基础与临床杂志, 2019, 26(5): 595-601.
10. 刘健博, 吕炘沂, 邹雨恒, 等. 多周期新辅助化疗联合阿帕替尼对进展期直肠癌的疗效评价: 基于DACCA数据库的辅助研究. 中国普外基础与临床杂志, 2019, 26(6): 728-734.
11. Schlemper RJ, Riddell RH, Kato Y, et al. The Vienna classification of gastrointestinal epithelial neoplasia. Gut, 2000, 47(2): 251-255.
12. Benson AB, Venook AP, Al-Hawary MM, et al. Rectal cancer, Version 2.2018, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw, 2018, 16(7): 874-901.
13. Benson AB, Venook AP, Al-Hawary MM, et al. NCCN Guidelines insights: colon cancer, Version 2.2018. J Natl Compr Canc Netw, 2018, 16(4): 359-369.
14. McCormick JT, Gregorcyk SG. Preoperative evaluation of colorectal cancer. Surg Oncol Clin N Am, 2006, 15(1): 39-49.
15. 国家消化系统疾病临床医学研究中心(上海), 国家消化道早癌防治中心联盟, 中华医学会消化内镜学分会, 等. 中国早期结直肠癌筛查流程专家共识意见 (2019, 上海). 中华内科杂志, 2019, 58(10): 736-744.
16. Schmidhuber J. Deep learning in neural networks: an overview. Neural Netw, 2015, 61: 85-117.
17. 郝敬鹏, 王晖, 史刚刚, 等. 结直肠癌筛查的临床研究进展. 国际生物医学工程杂志, 2019, 42(2): 177-180.
18. Simon K. Colorectal cancer development and advances in screening. Clin Interv Aging, 2016, 11: 967-976.
19. Church J, Simmang C, Standards Task Force, et al. Practice parameters for the treatment of patients with dominantly inherited colorectal cancer (familial adenomatous polyposis and hereditary nonpolyposis colorectal cancer). Dis Colon Rectum, 2003, 46(8): 1001-1012.
20. Henrikson NB, Webber EM, Goddard KA, et al. Family history and the natural history of colorectal cancer: systematic review. Genet Med, 2015, 17(9): 702-712.
21. Stoffel EM, Kastrinos F. Familial colorectal cancer, beyond Lynch syndrome. Clin Gastroenterol Hepatol, 2014, 12(7): 1059-1068.
22. Talseth-Palmer BA. The genetic basis of colonic adenomatous polyposis syndromes. Hered Cancer Clin Pract, 2017, 15: 5.
23. Tamas K, Walenkamp AM, de Vries EG, et al. Rectal and colon cancer: not just a different anatomic site. Cancer Treat Rev, 2015, 41(8): 671-679.
24. Straja ND, Ionescu S, Brătucu E, et al. Morbidity after ultra low anterior resection of the rectum. Chirurgia (Bucur), 2015, 110(3): 231-236.
25. Soldatkina NV, Kit OI, Gevorkyan YA, et al. Multiple primary colorectal cancer: clinical aspects. Ter Arkh, 2016, 88(8): 53-58.
26. Wang YP, Guo PT, Zhu Z, et al. Macroscopic serosal classification of colorectal cancer and its clinical significance. Int J Clin Exp Med, 2015, 8(11): 20123-20134.
27. Pisano M, Zorcolo L, Merli C, et al. 2017 WSES guidelines on colon and rectal cancer emergencies: obstruction and perforation. World J Emerg Surg, 2018, 13: 36.
28. Usher-Smith JA, Walter FM, Emery JD, et al. Risk prediction models for colorectal cancer: a systematic review. Cancer Prev Res, 2016, 9(1): 13-26.

CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Database research part Ⅴ: tumor characteristics of colorectal cancer

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