A new model combined with 3 kinds of lncRNAs can be used to predict the survivalrate of colon cancer before operation_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

HU Renwang ,  GONG Jianping

Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College in Huazhong University of Science and Technology, Wuhan 430000, P. R. China;

Corresponding author：

GONG Jianping, Email: jpgong@tjh.tjmu.edu.cn

Keywords：

colon cancer; long non-coding RNA; prognosis; preoperative prediction model; nomogram

DOI：

10.7507/1007-9424.202004012

Video：

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Objective Combined with long non-coding RNA (lncRNA) to find a regression model that can be used to predict the survival rate of patients with colon cancer before operation.Methods The clinical information and gene expression information of patients with colon cancer were downloaded by using TCGA database. The differentially expressed lncRNAs in tumor and paracancerous tissues were screened out, and then combined with the clinical information of patients to construct Cox proportional hazard regression model.Results A total of 26 kinds of lncRNAs with statistical difference in gene expression between paracancerous tissues and tumor tissues were selected (P<0.05). Through repeated screening and comparison of prediction efficiency, the prediction model was finally selected, which was constructed by patients’ age, M stage, N stage, and three kinds of lncRNAs (ZFAS1, SNHG25, and SNHG7) gene expression level: age [HR=4.00, 95%CI: (1.48, 10.84), P=0.006], M stage [HR=3.96, 95%CI: (2.23, 7.04), P<0.001], N stage [HR=1.87, 95%CI: (1.24, 2.84), P=0.003], ZFAS1 gene expression level [HR=0.60, 95%CI: (0.41, 0.86), P=0.006], SNHG25 gene expression level [HR=0.85, 95%CI: (0.73, 1.00), P=0.045], and SNHG7 gene expression level [HR=2.32, 95%CI: (1.53, 3.52), P<0.001] were all independent risk factors for postoperative survival of patients with colon cancer. The area under the ROC curves for predicting 1, 3, and 5-year overall survival were 0.802, 0.828, and 0.771, respectiely, which had a good prediction ability.Conclusion The predictive model constructed by the combination of ZFAS1, SNHG25, SNHG7 genes expression level with M stage, N stage, and age can better predict the overall survival rate of patients before operation, which can effectively guide clinical decision-making and choose the most suitable treatment method for patients.

Citation： HU Renwang, GONG Jianping. A new model combined with 3 kinds of lncRNAs can be used to predict the survivalrate of colon cancer before operation. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2020, 27(12): 1543-1547. doi: 10.7507/1007-9424.202004012 Copy

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19.	Liu H, Zhang Q, Lou Q, et al. Differential analysis of lncRNA, miRNA and mRNA expression profiles and the prognostic value of lncRNA in esophageal cancer. Pathol Oncol Res, 2020, 26(2): 1029-1039.
20.	Quan J, Pan X, Zhao L, et al. LncRNA as a diagnostic and prognostic biomarker in bladder cancer: a systematic review and meta-analysis. Onco Targets Ther, 2018, 11: 6415-6424.
21.	Giulietti M, Righetti A, Principato G, et al. LncRNA co-expression network analysis reveals novel biomarkers for pancreatic cancer. Carcinogenesis, 2018, 39(8): 1016-1025.
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23.	Shi F, Liu Y, Li M, et al. Analysis of lncRNA and mRNA transcriptomes expression in thyroid cancer tissues among patients with exposure of medical occupational radiation. Dose Response, 2019, 17(3): 1559325819864223.
24.	Sun W, Shen NM, Fu SL. Involvement of lncRNA-mediated signaling pathway in the development of cervical cancer. Eur Rev Med Pharmacol Sci, 2019, 23(9): 3672-3687.
25.	Li Y, Zeng C, Hu J, et al. Long non-coding RNA-SNHG7 acts as a target of miR-34a to increase GALNT7 level and regulate PI3K/Akt/mTOR Pathway in colorectal cancer progression. J Hematol Oncol, 2018, 11(1): 89.
26.	Xie S, Ge Q, Wang X, et al. Long non-coding RNA ZFAS1 sponges miR-484 to promote cell proliferation and invasion in colorectal cancer. Cell Cycle, 2018, 17(2): 154-161.
27.	Chen X, Zeng K, Xu M, et al. SP1-induced lncRNA-ZFAS1 contributes to colorectal cancer progression via the miR-150-5p/VEGFA axis. Cell Death Dis, 2018, 9(10): 982.
28.	Yang W, Zhang K, Li L, et al. Discovery and validation of the prognostic value of the lncRNAs encoding snoRNAs in patients with clear cell renal cell carcinoma. Aging (Albany NY), 2020, 12(5): 4424-4444.

1. de Vries E, Soerjomataram I, Lemmens VE, et al. Lifestyle changes and reduction of colon cancer incidence in Europe: a scenario study of physical activity promotion and weight reduction. Eur J Cancer, 2010, 46(14): 2605-2616.
2. Sato K, Tanaka T, Sato J, et al. Usefulness of preoperative CT colonography for colon cancer. Asian J Surg, 2017, 40(6): 438-443.
3. Elibol FD, Obuz F, Sökmen S, et al. The role of multidetector CT in local staging and evaluation of retroperitoneal surgical margin involvement in colon cancer. Diagn Interv Radiol, 2016, 22(1): 5-12.
4. Wiegering A, Kunz M, Hussein M, et al. Diagnostic value of preoperative CT scan to stratify colon cancer for neoadjuvant therapy. Int J Colorectal Dis, 2015, 30(8): 1067-1073.
5. Gao Z, Fu P, Yu Z, et al. Comprehensive analysis of lncRNA-miRNA-mRNA network ascertains prognostic factors in patients with colon cancer. Technol Cancer Res Treat, 2019, 18: 1533033819853237.
6. Zhang X, Ho TT. Computational analysis of lncRNA function in cancer. Methods Mol Biol, 2019, 1878: 139-155.
7. Jiang MC, Ni JJ, Cui WY, et al. Emerging roles of lncRNA in cancer and therapeutic opportunities. Am J Cancer Res, 2019, 9(7): 1354-1366.
8. Yoshino T, Yamanaka T, Oki E, et al. Efficacy and long-term peripheral sensory neuropathy of 3 vs 6 months of oxaliplatin-based adjuvant chemotherapy for colon cancer: the ACHIEVE phase 3 randomized clinical trial. JAMA Oncol, 2019, 5(11): 1574-1581.
9. Yoshimatsu K, Ishibashi K, Koda K, et al. A Japanese multicenter phase Ⅱ study of adjuvant chemotherapy with mFOLFOX6/CAPOX for stage Ⅲ colon cancer treatment after D2/D3 lymphadenectomy. Surg Today, 2019, 49(6): 498-506.
10. Weiser MR. AJCC 8th Edition: Colorectal Cancer. Ann Surg Oncol, 2018, 25(6): 1454-1455.
11. Peng WX, Koirala P, Mo YY. LncRNA-mediated regulation of cell signaling in cancer. Oncogene, 2017, 36(41): 5661-5667.
12. Li J, Meng H, Bai Y, et al. Regulation of lncRNA and its role in cancer metastasis. Oncol Res, 2016, 23(5): 205-217.
13. 马英博, 张小东, 杨照国, 等. lncRNA 调控肿瘤能量代谢机制的研究进展. 中国普外基础与临床杂志, 2017, 24(3): 381-385.
14. Wang X, Yin H, Zhang L, et al. The construction and analysis of the aberrant lncRNA-miRNA-mRNA network in non-small cell lung cancer. J Thorac Dis, 2019, 11(5): 1772-1778.
15. Liu H, Zhang Z, Wu N, et al. Integrative analysis of dysregulated lncRNA-associated ceRNA network reveals functional lncRNAs in gastric cancer. Genes (Basel), 2018, 9(6): 303.
16. Shan Y, Ma J, Pan Y, et al. LncRNA SNHG7 sponges miR-216b to promote proliferation and liver metastasis of colorectal cancer through upregulating GALNT1. Cell Death Dis, 2018, 9(7): 722.
17. Xu B, Yang HJ, Zhang XP, et al. Research progresses in roles of LncRNA and its relationships with breast cancer. Cancer Cell Int, 2018, 18: 179.
18. Ye Y, Li SL, Wang SY. Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer. PLoS One, 2018, 13(8): e0198055.
19. Liu H, Zhang Q, Lou Q, et al. Differential analysis of lncRNA, miRNA and mRNA expression profiles and the prognostic value of lncRNA in esophageal cancer. Pathol Oncol Res, 2020, 26(2): 1029-1039.
20. Quan J, Pan X, Zhao L, et al. LncRNA as a diagnostic and prognostic biomarker in bladder cancer: a systematic review and meta-analysis. Onco Targets Ther, 2018, 11: 6415-6424.
21. Giulietti M, Righetti A, Principato G, et al. LncRNA co-expression network analysis reveals novel biomarkers for pancreatic cancer. Carcinogenesis, 2018, 39(8): 1016-1025.
22. Dong JS, Wu B, Jiang B. LncRNA SNHG7 promotes the proliferation and inhibits apoptosis of renal cell cancer cells by downregulating CDKN1A. Eur Rev Med Pharmacol Sci, 2019, 23(23): 10241-10247.
23. Shi F, Liu Y, Li M, et al. Analysis of lncRNA and mRNA transcriptomes expression in thyroid cancer tissues among patients with exposure of medical occupational radiation. Dose Response, 2019, 17(3): 1559325819864223.
24. Sun W, Shen NM, Fu SL. Involvement of lncRNA-mediated signaling pathway in the development of cervical cancer. Eur Rev Med Pharmacol Sci, 2019, 23(9): 3672-3687.
25. Li Y, Zeng C, Hu J, et al. Long non-coding RNA-SNHG7 acts as a target of miR-34a to increase GALNT7 level and regulate PI3K/Akt/mTOR Pathway in colorectal cancer progression. J Hematol Oncol, 2018, 11(1): 89.
26. Xie S, Ge Q, Wang X, et al. Long non-coding RNA ZFAS1 sponges miR-484 to promote cell proliferation and invasion in colorectal cancer. Cell Cycle, 2018, 17(2): 154-161.
27. Chen X, Zeng K, Xu M, et al. SP1-induced lncRNA-ZFAS1 contributes to colorectal cancer progression via the miR-150-5p/VEGFA axis. Cell Death Dis, 2018, 9(10): 982.
28. Yang W, Zhang K, Li L, et al. Discovery and validation of the prognostic value of the lncRNAs encoding snoRNAs in patients with clear cell renal cell carcinoma. Aging (Albany NY), 2020, 12(5): 4424-4444.

CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

A new model combined with 3 kinds of lncRNAs can be used to predict the survivalrate of colon cancer before operation

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