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：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

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.	汪曉東, 安麗珉, 李立. 數據庫研究第二部分: 結直腸癌的住院流程管理. 中國普外基礎與臨床雜志, 2019, 26(4): 469-475.
2.	汪曉東, 李立. 數據庫建設第一部分: 個人數據的標簽與結構化. 中國普外基礎與臨床雜志, 2019, 26(3): 335-342.
3.	汪曉東, 李立. 真實場景與大數據下的整體微創理念, 大幅提高結直腸癌遠期生存率. 中國普外基礎與臨床雜志, 2019, 26(1): 92-95.
4.	汪曉東, 李希, 何欣林, 等. 數據庫研究第一部分: 區域性醫療中心的結直腸癌與人群特征. 中國普外基礎與臨床雜志, 2019, 26(2): 212-220.
5.	汪曉東, 劉健博, 安麗珉, 等. 數據庫研究第四部分: 結直腸癌的術前專科檢查與評估. 中國普外基礎與臨床雜志, 2019, 26(10): 1230-1238.
6.	汪曉東, 劉健博, 李立. 數據庫建設第三部分: 結直腸癌內外科合并癥及術前體質狀態的標簽與結構化. 中國普外基礎與臨床雜志, 2019, 26(9): 1110-1115.
7.	汪曉東, 劉健博, 張詩, 等. 數據庫研究第三部分: 結直腸癌的內外科合并癥及術前體質狀態. 中國普外基礎與臨床雜志, 2019, 26(8): 985-991.
8.	汪曉東, 呂炘沂, 黃明君, 等. 數據庫建設第二部分: 結直腸癌住院流程管理的標簽與結構化. 中國普外基礎與臨床雜志, 2019, 26(7): 852-855.
9.	于瑞璇, 何欣林, 張秋露, 等. 華西DACCA的輔助研究: 單獨的新輔助化療不會影響直腸癌術后近期的肛門功能. 中國普外基礎與臨床雜志, 2019, 26(5): 595-601.
10.	劉健博, 呂炘沂, 鄒雨恒, 等. 多周期新輔助化療聯合阿帕替尼對進展期直腸癌的療效評價: 基于DACCA數據庫的輔助研究. 中國普外基礎與臨床雜志, 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.	國家消化系統疾病臨床醫學研究中心(上海), 國家消化道早癌防治中心聯盟, 中華醫學會消化內鏡學分會, 等. 中國早期結直腸癌篩查流程專家共識意見 (2019, 上海). 中華內科雜志, 2019, 58(10): 736-744.
16.	Schmidhuber J. Deep learning in neural networks: an overview. Neural Netw, 2015, 61: 85-117.
17.	郝敬鵬, 王暉, 史剛剛, 等. 結直腸癌篩查的臨床研究進展. 國際生物醫學工程雜志, 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, Br?tucu 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. 汪曉東, 安麗珉, 李立. 數據庫研究第二部分: 結直腸癌的住院流程管理. 中國普外基礎與臨床雜志, 2019, 26(4): 469-475.
2. 汪曉東, 李立. 數據庫建設第一部分: 個人數據的標簽與結構化. 中國普外基礎與臨床雜志, 2019, 26(3): 335-342.
3. 汪曉東, 李立. 真實場景與大數據下的整體微創理念, 大幅提高結直腸癌遠期生存率. 中國普外基礎與臨床雜志, 2019, 26(1): 92-95.
4. 汪曉東, 李希, 何欣林, 等. 數據庫研究第一部分: 區域性醫療中心的結直腸癌與人群特征. 中國普外基礎與臨床雜志, 2019, 26(2): 212-220.
5. 汪曉東, 劉健博, 安麗珉, 等. 數據庫研究第四部分: 結直腸癌的術前專科檢查與評估. 中國普外基礎與臨床雜志, 2019, 26(10): 1230-1238.
6. 汪曉東, 劉健博, 李立. 數據庫建設第三部分: 結直腸癌內外科合并癥及術前體質狀態的標簽與結構化. 中國普外基礎與臨床雜志, 2019, 26(9): 1110-1115.
7. 汪曉東, 劉健博, 張詩, 等. 數據庫研究第三部分: 結直腸癌的內外科合并癥及術前體質狀態. 中國普外基礎與臨床雜志, 2019, 26(8): 985-991.
8. 汪曉東, 呂炘沂, 黃明君, 等. 數據庫建設第二部分: 結直腸癌住院流程管理的標簽與結構化. 中國普外基礎與臨床雜志, 2019, 26(7): 852-855.
9. 于瑞璇, 何欣林, 張秋露, 等. 華西DACCA的輔助研究: 單獨的新輔助化療不會影響直腸癌術后近期的肛門功能. 中國普外基礎與臨床雜志, 2019, 26(5): 595-601.
10. 劉健博, 呂炘沂, 鄒雨恒, 等. 多周期新輔助化療聯合阿帕替尼對進展期直腸癌的療效評價: 基于DACCA數據庫的輔助研究. 中國普外基礎與臨床雜志, 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. 國家消化系統疾病臨床醫學研究中心(上海), 國家消化道早癌防治中心聯盟, 中華醫學會消化內鏡學分會, 等. 中國早期結直腸癌篩查流程專家共識意見 (2019, 上海). 中華內科雜志, 2019, 58(10): 736-744.
16. Schmidhuber J. Deep learning in neural networks: an overview. Neural Netw, 2015, 61: 85-117.
17. 郝敬鵬, 王暉, 史剛剛, 等. 結直腸癌篩查的臨床研究進展. 國際生物醫學工程雜志, 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, Br?tucu 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

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content