Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1:1 Propensity-Matched Study

被引:6
作者
Xie, Yangyang [1 ]
Song, Xue [2 ]
Dong, Wenge [1 ]
Jin, Haimin [1 ]
Ni, Zhongkai [1 ]
Li, Xiaowen [1 ]
Huang, Hai [1 ]
机构
[1] Zhejiang Chinese Med Univ, Hangzhou TCM Hosp, Dept Gen Surg, Hangzhou 310000, Zhejiang, Peoples R China
[2] Zhejiang Chinese Med Univ, Hangzhou TCM Hosp, Dept Pneumol, Hangzhou 310000, Zhejiang, Peoples R China
关键词
UNITED-STATES; CANCER; SURVIVAL; CHEMOTHERAPY; NOMOGRAMS; STOMACH; SURGERY; GUIDE;
D O I
10.1155/2022/1565207
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background. The dismal prognosis of gastric signet ring cell carcinoma (GSRC) is a global problem. The current study is conducted to comprehensively evaluate clinicopathological features and survival outcomes in GSRC patients stratified by anatomic subsites. Then, predictive nomograms are constructed and validated to improve the effectiveness of personalized management. Method. The patients diagnosed with GSRC were recruited from the online SEER database. The influence of anatomic subsites on overall survival (OS) and cancer-specific survival (CSS) was evaluated using multivariate Cox regression and Kaplan-Meier analysis. Then, we employed propensity score matching (PSM) technique to decrease selection bias and balance patients' epidemiological factors. Predictive nomograms were constructed and validated. Sensitivity analysis was performed to validate the conclusion. Results. Multivariate Cox regression demonstrated that the patients with overlapping gastric cancer (OGC) suffered the highest mortality risk for OS (HR, 1.29; 95% CI, 1.23-1.36; P<0.001) and CSS (HR, 1.33; 95% CI, 1.28-1.37; P<0.001). Age, TNM stage, tumor localization, tumor size, surgery, and chemotherapy presented a highly significant relationship with OS and CSS. Following subgroup and PSM analysis, OGC patients were confirmed to have the worst OS and CSS. Then, nomograms predicting 6-month, 12-month, and 36-month survival were constructed. The area under the curve (AUC) value in ROC was 0.775 (95% CI, 0.761-0.793) for 6-month survival, 0.789 (95% CI, 0.776-0.801) for 12-month survival, and 0.780 (95% CI, 0.765-0.793) for 36-month survival in the OS group, while in the CSS group, it was 0.771 (95% CI, 0.758-0.790) for 6-month survival, 0.781 (95% CI, 0.770-0.799) for 12-month survival, and 0.773 (95% CI, 0.762-0.790) for 36-month survival. Conclusion. We identified anatomic subsites as a predictor of survival in those with GSRC. Patients with OGC suffered the highest mortality risk. The proposed nomograms allowed a relatively accurate survival prediction for GSRC patients.
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页数:18
相关论文
共 37 条
[1]   An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies [J].
Austin, Peter C. .
MULTIVARIATE BEHAVIORAL RESEARCH, 2011, 46 (03) :399-424
[2]   Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples [J].
Austin, Peter C. .
STATISTICS IN MEDICINE, 2009, 28 (25) :3083-3107
[3]   Comprehensive molecular characterization of gastric adenocarcinoma [J].
Bass, Adam J. ;
Thorsson, Vesteinn ;
Shmulevich, Ilya ;
Reynolds, Sheila M. ;
Miller, Michael ;
Bernard, Brady ;
Hinoue, Toshinori ;
Laird, Peter W. ;
Curtis, Christina ;
Shen, Hui ;
Weisenberger, Daniel J. ;
Schultz, Nikolaus ;
Shen, Ronglai ;
Weinhold, Nils ;
Keiser, David P. ;
Bowlby, Reanne ;
Sipahimalani, Payal ;
Cherniack, Andrew D. ;
Getz, Gad ;
Liu, Yingchun ;
Noble, Michael S. ;
Pedamallu, Chandra ;
Sougnez, Carrie ;
Taylor-Weiner, Amaro ;
Akbani, Rehan ;
Lee, Ju-Seog ;
Liu, Wenbin ;
Mills, Gordon B. ;
Yang, Da ;
Zhang, Wei ;
Pantazi, Angeliki ;
Parfenov, Michael ;
Gulley, Margaret ;
Piazuelo, M. Blanca ;
Schneider, Barbara G. ;
Kim, Jihun ;
Boussioutas, Alex ;
Sheth, Margi ;
Demchok, John A. ;
Rabkin, Charles S. ;
Willis, Joseph E. ;
Ng, Sam ;
Garman, Katherine ;
Beer, David G. ;
Pennathur, Arjun ;
Raphael, Benjamin J. ;
Wu, Hsin-Ta ;
Odze, Robert ;
Kim, Hark K. ;
Bowen, Jay .
NATURE, 2014, 513 (7517) :202-209
[4]   Prognostic Stratification of Advanced Gastric Signet Ring Cell Carcinoma by Clinicopathological Factors and GALNT14 Genotype [J].
Chen, Tsung-Hsing ;
Lin, Wey-Ran ;
Lee, Chieh ;
Chiu, Cheng-Tang ;
Hsu, Jun-Te ;
Yeh, Ta-Sen ;
Lin, Kwang-Huei ;
Le, Puo-Hsien ;
Yeh, Chau-Ting .
JOURNAL OF CANCER, 2018, 9 (19) :3540-3547
[5]   How Can Gastric Cancer Molecular Profiling Guide Future Therapies? [J].
Corso, Simona ;
Giordano, Silvia .
TRENDS IN MOLECULAR MEDICINE, 2016, 22 (07) :534-544
[6]   Perioperative chemotherapy versus surgery alone for resectable gastroesophageal cancer [J].
Cunningham, David ;
Allum, William H. ;
Stenning, Sally P. ;
Thompson, Jeremy N. ;
Van de Velde, Cornelis J. H. ;
Nicolson, Marianne ;
Scarffe, J. Howard ;
Lofts, Fiona J. ;
Falk, Stephen J. ;
Iveson, Timothy J. ;
Smith, David B. ;
Langley, Ruth E. ;
Verma, Monica ;
Weeden, Simon ;
Chua, Yu Jo .
NEW ENGLAND JOURNAL OF MEDICINE, 2006, 355 (01) :11-20
[7]   DO PROXIMAL AND DISTAL GASTRIC TUMOURS BEHAVE DIFFERENTLY? [J].
da Costa, Laurence Bedin ;
Toneto, Marcelo Garcia ;
Moreira, Luis Fernando .
ABCD-ARQUIVOS BRASILEIROS DE CIRURGIA DIGESTIVA-BRAZILIAN ARCHIVES OF DIGESTIVE SURGERY, 2016, 29 (04) :232-235
[8]   A Prognostic Model for Patients With Gastric Signet Ring Cell Carcinoma [J].
Guo, Qinping ;
Wang, Yinquan ;
An, Jie ;
Wang, Siben ;
Dong, Xiushan ;
Zhao, Haoliang .
TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2021, 20
[9]   Race/Ethnicity-, Socioeconomic Status-, and Anatomic Subsite-Specific Risks for Gastric Cancer [J].
Gupta, Samir ;
Tao, Li ;
Murphy, James D. ;
Camargo, M. Constanza ;
Oren, Eyal ;
Valasek, Mark A. ;
Gomez, Scarlett Lin ;
Martinez, Maria Elena .
GASTROENTEROLOGY, 2019, 156 (01) :59-+
[10]  
Henson DE, 2004, ARCH PATHOL LAB MED, V128, P765