Abstract
Background
Gastric signet ring cell carcinoma (GSRCC) is a highly malignant subtype of gastric cancer. We tried to establish and validate a nomogram using common clinical variables to achieve more personalized management.
Methods
We analyzed patients with GSRCC in the Surveillance, Epidemiology, and End Results database between 2004 and 2017. The survival curve was calculated by the Kaplan–Meier method, and the difference in survival curve was tested by log-rank test. We used the cox proportional hazard model to evaluate independent factors of prognosis, and established a nomogram to predict 1-, 3- and 5- overall survival (OS). Harrell's consistency index and calibration curve were used to measure the discrimination and calibration of the nomogram. In addition, we used decision curve analysis (DCA) to compare the net clinical benefits of the nomogram and American Joint Committee on Cancer (AJCC) staging system.
Results
The prognosis nomogram predicting 1-, 3- and 5-years OS for patients with GSRCC is established for the first time. The C-index and AUC of nomogram were higher than that of the American Joint Committee on Cancer (AJCC) staging system in the training set. Our model also shows better performance than the AJCC staging system in the validation set, and importantly, DCA shows that our model has a better net benefit than the AJCC stage.
Conclusions
We have developed and validated a new nomogram and risk classification system, which is better than the AJCC staging system. It will help clinicians manage postoperative patients with GSRCC more accurately.
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Availability of data and materials
SEER Stat 8.39 software was used to extract our data online, and data in our study is available at SEER database: https://seer.cancer.gov/.
Abbreviations
- GSRCC:
-
Gastric signet ring cell carcinoma
- SEER:
-
Surveillance, Epidemiology, and End Results
- OS:
-
Overall survival
- RNE:
-
Regional nodes examined
- AJCC:
-
American Joint Committee on Cancer
- DCA:
-
Decision curve analysis
- NA:
-
Not available
- CI:
-
Confidence interval
References
Bando E, Ji X, Kattan MW et al (2020) Development and validation of a pretreatment nomogram to predict overall survival in gastric cancer. Cancer Med 9(16):5708–5718. https://doi.org/10.1002/cam4.3225
Barbieri CE, Cha EK, Chromecki TF et al (2012) Decision curve analysis assessing the clinical benefit of NMP22 in the detection of bladder cancer: secondary analysis of a prospective trial. BJU Int 109(5):685–690. https://doi.org/10.1111/j.1464-410X.2011.010419.x
Biondi A, D’Ugo D, Cananzi FC et al (2015) Does a minimum number of 16 retrieved nodes affect survival in curatively resected gastric cancer? Eur J Surg Oncol 41(6):779–786. https://doi.org/10.1016/j.ejso.2015.03.227
Bray F, Ferlay J, Soerjomataram I et al (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68(6):394–424. https://doi.org/10.3322/caac.21492
Caetano SJ, Sonpavde G, Pond GR (2018) C-statistic: A brief explanation of its construction, interpretation and limitations. Eur J Cancer 90:130–132. https://doi.org/10.1016/j.ejca.2017.10.027
Camp RL, Dolled-Filhart M, Rimm DL (2004) X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res 10(21):7252–7259. https://doi.org/10.1158/1078-0432.CCR-04-0713
Chen X, Chen S, Wang X et al (2020) Analysis and external validation of a nomogram to predict peritoneal dissemination in gastric cancer. Chin J Cancer Res 32(2):197–207. https://doi.org/10.21147/j.issn.1000-9604.2020.02.07
Deng J, Zhang R, Pan Y et al (2015) Tumor size as a recommendable variable for accuracy of the prognostic prediction of gastric cancer: a retrospective analysis of 1,521 patients. Ann Surg Oncol 22(2):565–572. https://doi.org/10.1245/s10434-014-4014-x
Deng J, Liu J, Wang W et al (2018) Validation of clinical significance of examined lymph node count for accurate prognostic evaluation of gastric cancer for the eighth edition of the American Joint Committee on Cancer (AJCC) TNM staging system. Chin J Cancer Res 30(5):477–491. https://doi.org/10.21147/j.issn.1000-9604.2018.05.01
Henson DE, Dittus C, Younes M et al (2004) Differential trends in the intestinal and diffuse types of gastric carcinoma in the United States, 1973–2000: increase in the signet ring cell type. Arch Pathol Lab Med 128(7):765–770. https://doi.org/10.1043/1543-2165(2004)128%3c765:DTITIA%3e2.0.CO;2
Jin JJ, Wang W, Dai FX et al (2016) Marital status and survival in patients with gastric cancer. Cancer Med 5(8):1821–1829. https://doi.org/10.1002/cam4.758
Li B, Hu X (2019) Time-varying effects of marital status on gastric cancer: a population-based study. Cancer Manag Res 11:10949–10955. https://doi.org/10.2147/CMAR.S234738
Liao F, Guo X, Lu X et al (2020) A validated survival nomogram for early-onset diffuse gastric cancer. Aging (albany NY) 12(13):13160–13171. https://doi.org/10.18632/aging.103406
Merchant SJ, Li L, Kim J (2014) Racial and ethnic disparities in gastric cancer outcomes: more important than surgical technique? World J Gastroenterol 20(33):11546–11551. https://doi.org/10.3748/wjg.v20.i33.11546
Pan QX, Su ZJ, Zhang JH et al (2015) A comparison of the prognostic value of preoperative inflammation-based scores and TNM stage in patients with gastric cancer. Onco Targets Ther 8:1375–1385. https://doi.org/10.2147/OTT.S82437
Pencina MJ, D’Agostino RB Sr (2015) Evaluating discrimination of risk prediction models: the C statistic. JAMA 314(10):1063–1064. https://doi.org/10.1001/jama.2015.11082
Piessen G, Messager M, Leteurtre E et al (2009) Signet ring cell histology is an independent predictor of poor prognosis in gastric adenocarcinoma regardless of tumoral clinical presentation. Ann Surg 250(6):878–887. https://doi.org/10.1097/SLA.0b013e3181b21c7b
Program SEER (accessed: 13 December 2021) SEER Acknowledgment of Treatment Data Limitations
Pulleyblank R, Chuma J, Gilbody SM et al (2013) Decision curve analysis for assessing the usefulness of tests for making decisions to treat: an application to tests for prodromal psychosis. Psychol Assess 25(3):730–737. https://doi.org/10.1037/a0032394
Ren J, Niu G, Wang X et al (2018) Effect of age on prognosis of gastric signet-ring cell carcinoma: a SEER database analysis. Med Sci Monit 24:8524–8532. https://doi.org/10.12659/MSM.911766
Turgeon MK, Gamboa AC, Rupji M et al (2021) Should signet ring cell histology alter the treatment approach for clinical stage I gastric cancer? Ann Surg Oncol 28(1):97–105. https://doi.org/10.1245/s10434-020-08714-0
Van Calster B, Wynants L, Verbeek JFM et al (2018) Reporting and interpreting decision curve analysis: a guide for investigators. Eur Urol 74(6):796–804. https://doi.org/10.1016/j.eururo.2018.08.038
Van Calster B, McLernon DJ, Van Smeden M et al (2019) Calibration: the Achilles heel of predictive analytics. BMC Med 17(1):230
Vickers AJ, Elkin EB (2006) Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making 26(6):565–574. https://doi.org/10.1177/0272989X06295361
Wei F, Lyu H, Wang S et al (2019) Postoperative radiotherapy improves survival in gastric signet-ring cell carcinoma: a SEER database analysis. J Gastric Cancer 19(4):393–407. https://doi.org/10.5230/jgc.2019.19.e36
Wu WT, Li YJ, Feng AZ et al (2021) Data mining in clinical big data: the frequently used databases, steps, and methodological models. Mil Med Res 8(1):44. https://doi.org/10.1186/s40779-021-00338-z
Xu Z, Jing J, Ma G (2020) Development and validation of prognostic nomogram based on log odds of positive lymph nodes for patients with gastric signet ring cell carcinoma. Chin J Cancer Res 32(6):778–793. https://doi.org/10.21147/j.issn.1000-9604.2020.06.11
Yang J, Li Y, Liu Q et al (2020) Brief introduction of medical database and data mining technology in big data era. J Evid Based Med 13(1):57–69. https://doi.org/10.1111/jebm.12373
Zhang XY, Zhang PY (2017) Gastric cancer: somatic genetics as a guide to therapy. J Med Genet 54(5):305–312
Zhang J, Gan L, Wu Z et al (2017) The influence of marital status on the stage at diagnosis, treatment, and survival of adult patients with gastric cancer: a population-based study. Oncotarget 8(14):22385–22405. https://doi.org/10.18632/oncotarget.7399
Zhou R, Yan S, Li J (2016) Influence of marital status on the survival of patients with gastric cancer. J Gastroenterol Hepatol 31(4):768–775. https://doi.org/10.1111/jgh.13217
Zhou L, Li W, Cai S et al (2019) Large tumor size is a poor prognostic factor of gastric cancer with signet ring cell: Results from the surveillance, epidemiology, and end results database. Medicine (baltimore) 98(40):e17367. https://doi.org/10.1097/MD.0000000000017367
Acknowledgements
The authors would like to express their gratitude to SEER for providing free access to the database.
Funding
The study was supported by Key project of Hunan Provincial Health Commission (C202203108338), 2021 Hunan Clinical Medical Technology Innovation Guidance Project (2021SK51410), the scientific research fund of Guangdong EFONG Pharmaceutical Co., Ltd (2022YF10) and Graduate Student Innovation Project of Hunan University of Chinese Medicine (2022CX22).
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DR N and J L conceived and designed the study. DR N and GL A wrote the manuscript. DR N, H Z collected data and performed the statistical analysis. J L and DR N revised the manuscript. All authors read and approved the submitted version.
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Since the patient information in the SEER database is deidentified and publicly available, our study was exempt from Institutional Review Board approval. In addition, we declared all methods were carried out in accordance with relevant guidelines and regulations.
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Supplementary figure 1 The optimal cutoff values for age (A/B), number of regional lymph nodes examined (C/D), and tumor size (E/F) were shown by X-tile analysis
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Nie, D., Zheng, H., An, G. et al. Development and validation of a novel nomogram for postoperative overall survival of patients with primary gastric signet-ring cell carcinoma: a population study based on SEER database. J Cancer Res Clin Oncol 149, 8593–8603 (2023). https://doi.org/10.1007/s00432-023-04796-x
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DOI: https://doi.org/10.1007/s00432-023-04796-x