Literature DB >> 29168120

The 8th edition of the American Joint Committee on Cancer tumor-node-metastasis staging system for gastric cancer is superior to the 7th edition: results from a Chinese mono-institutional study of 1663 patients.

Xin Ji1, Zhao-De Bu1, Yan Yan2, Zi-Yu Li1, Ai-Wen Wu1, Lian-Hai Zhang1, Ji Zhang1, Xiao-Jiang Wu1, Xiang-Long Zong1, Shuang-Xi Li1, Fei Shan1, Zi-Yu Jia1, Jia-Fu Ji3.   

Abstract

BACKGROUND: We investigated the superiority of the 8th edition of the tumor-node-metastasis (TNM) system for patients in China with gastric cancer.
METHODS: The survival outcomes of 1663 patients with gastric cancer undergoing radical resection were analyzed.
RESULTS: In the 8th edition system, homogeneous 5-year survival rates among different pathological TNM (pTNM) categories belonging to the same stage were observed. However, in the 7th edition system, the differences of 5-year survival rate among pTNM categories belonging to the same stage were observed in stages IIB (P = 0.010), IIIB (P = 0.004), and IIIC (P < 0.001). For patients in the pT1-3 (P < 0.001) and pT4a (P < 0.001) categories, there were significant differences in survival between patients in the pN3a and pN3b categories. Furthermore, partial cases (pT4bN0M0/T4aN2M0) of stage IIIB were downstaged to stage IIIA in the 8th edition system, and the 5-year survival rate of these patients was significantly better than that of patients in stage IIIB in the 8th edition system. Similarly, the 5-year survival rate of patients in p4bN2M0/T4aN3aM0 downstaged from stage IIIC to IIIB was significantly better than that of patients in stage IIIC. Compared with the 7th edition system, the 8th edition system had a higher likelihood ratio and linear trend chi-squared score and a smaller Akaike information criteria value.
CONCLUSIONS: The 8th edition system is superior to the 7th edition system in terms of homogeneity, discriminatory ability, and monotonicity of gradients for Chinese patients with gastric cancer.

Entities:  

Keywords:  Chinese patients; Gastric cancer; Staging system; Survival outcome

Mesh:

Year:  2017        PMID: 29168120      PMCID: PMC6002446          DOI: 10.1007/s10120-017-0779-5

Source DB:  PubMed          Journal:  Gastric Cancer        ISSN: 1436-3291            Impact factor:   7.370


Introduction

Although the incidence of gastric cancer is declining, it remains the fourth most common malignancy worldwide, with nearly 950,000 new cases diagnosed each year [1-4]. The tumor-node-metastasis (TNM) classification by the Union for International Cancer Control (UICC) and the American Joint Committee on Cancer (AJCC) is the global standard for staging gastric cancer [5, 6]. Since the publication and application of the 7th edition TNM staging system in 2009, many studies evaluating this classification have been published [7-11]. Although most authors approve its prognostic value, some limitations exist in the 7th edition TNM staging system. There are doubts that cancer of the esophagogastric junction (EGJ), especially Siewert types 2 and 3, should be classified by the gastric staging system [12]. Another important point is regarding subgroups pN3a and pN3b. In the 7th edition staging system, separate concepts of pN3a and pN3b categories correspond to relevant stages as the only N stage as N3. In this case, the separation of pN3 stage into pN3a and pN3b does not contribute to the TNM staging system. The 8th edition of the AJCC cancer staging manual is the most recent published edition [13, 14]. Changes in this edition from the 7th edition are mainly based upon recommendations from the International Gastric Cancer Association Staging Project [15]. The new classifications provide more comprehensive tools, including clinical (cTNM), post-neoadjuvant (ypTNM), and pathological (pTNM) classifications, for stage grouping of patients with gastric cancer under different circumstances. In the 8th edition TNM staging system, the definitions of pT and pN classification are not adjusted. Stage groupings have been reclassified. In the new staging system, pN3 is subdivided into pN3a and pN3b in stage groupings, and pT1N3b and pT2N3b are now incorporated into stage IIIB. Moreover, pT3N3b is incorporated into stage IIIC. Also, there are several changes in TNM stage groupings. For example, pT4bN0 and pT4aN2 have been downstaged from stage IIIB into stage IIIA, and pT4aN3a and pT4bN2 have been downstaged from stage IIIC into stage IIIB (Table 1).
Table 1

The 7th and 8th editions of the American Joint Committee on Cancer tumor-node-metastasis (AJCC TNM) staging system

7th editionN0N1N2N3
T1IA(n = 245)IB(n = 31)IIA(n = 7)IIB(n = 5)
T2IB(n = 118)IIA(n = 59)IIB(n = 36)IIIA(n = 14)
T3IIA(n = 10)IIB(n = 9)IIIA(n = 10)IIIB(n = 17)
T4aIIB(n = 186)IIIA(n = 211)IIIB(n = 240)IIIC(n = 427)
T4bIIIB(n = 4)IIIB(n = 4)IIIC(n = 10)IIIC(n = 20)

aChanges in stage distribution in the 8th edition of the TNM staging system

The 7th and 8th editions of the American Joint Committee on Cancer tumor-node-metastasis (AJCC TNM) staging system aChanges in stage distribution in the 8th edition of the TNM staging system These modifications are mainly based on databases from Japan, Korea, other Asian nations, and the West, with most cases collected from Japan and Korea (41.8% and 43.3%, respectively), whereas the proportion of data collected from China was much lower [15]. Therefore, the analysis was influenced by the preponderance of Japanese and Korean patients, and the validity of the 8th edition staging system for patients with gastric cancer in China is unclear. In the light of these considerations, the purpose of our study was to investigate the validity and superiority of the 8th edition of the AJCC TNM staging system for patients in China with gastric cancer by comparison with the 7th edition of the TNM staging system.

Materials and methods

Patients

This study was designed as a retrospective analysis using data from a prospectively collected database at Peking University Cancer Hospital. From January 2006 to December 2011, a total of 2548 patients with gastric cancer or EGJ adenocarcinoma underwent surgery at our hospital. Eligibility criteria included (1) gastric adenocarcinoma identified by histopathological examination, (2) no distant metastasis, (3) radical resection, (4) gastrectomy and lymphadenectomy based on Japanese Gastric Cancer treatment guidelines [16], (5) more than 15 harvested lymph nodes, (6) no other synchronous malignancy, (7) no death in the postoperative period, (8) no preoperative chemotherapy or radiotherapy, and (9) tumors located in the stomach or EGJ tumors recommended for the use of the stomach schema in the 8th edition staging system. As there was no change in the definition of stage IV between the 7th and 8th edition staging systems, patients with M1 disease were excluded from our study. Only patients with more than 15 harvested lymph nodes were included in our study to avoid staging migration caused by an insufficient number of harvested lymph nodes. Moreover, we excluded patients receiving neoadjuvant therapy because of the possibility that neoadjuvant therapy might affect pathological staging of resected specimens (Fig. 1). The purpose of our study was to compare the validity and superiority of the 8th edition staging system for Chinese patients.
Fig. 1

Flowchart of patient selection process in this study

Flowchart of patient selection process in this study A total of 1663 patients were included in the current study. The clinicopathological data collected from the database included age, sex, Lauren’s classification, tumor size, tumor location, the extent of gastrectomy, the histological depth of tumor invasion (pT), the total number of harvested lymph nodes, the number of harvested lymph nodes with histological metastasis (pN), and adjuvant chemotherapy. The terminology used in this study was based on the Japanese classification of gastric carcinoma [17]. Adjuvant chemotherapy was administered to 1363 patients who were identified as pT3/4 or metastasis in lymph nodes. Adjuvant chemotherapy was usually performed with cisplatin-based or 5-fluorouracil-based systemic therapy. The principles of surgery were mainly based on the Japanese gastric cancer treatment guidelines [16, 18]. For tumors limited to mucosa or submucosa, D0, D1, or D1+ lymph node dissection was conducted. For lymph node-positive tumors or tumors invading to the muscularis propria or deeper, standard D2 or D2+ lymph node dissection was performed. This study was performed with the approval of the Ethics Committee of Peking University Cancer Hospital (Reference no. 2006021). Each patient in this study signed informed consent.

Follow-up

Follow-up was carried out by telephone interviews, e-mail communication, or outpatient reviews. Postoperative follow-up was conducted every 3 months for the first 2 years, every 6 months from the third to the fifth years, and annually thereafter until the patient died or until the last follow-up.

Statistical analysis

All patients were restaged using the 7th and 8th editions of the AJCC TNM staging systems. Kaplan–Meier estimation and log-rank tests were performed to compare 5-year survival rate. The Cox proportional hazards regression model was used to identify independent prognostic factors by multivariate analysis. Further, the likelihood ratio χ 2 test related to the Cox regression model was used to measure homogeneity. The discriminatory ability and monotonicity of gradient assessments were measured with the linear trend χ 2 test. Further, the Akaike information criteria (AIC) within a Cox proportional hazard regression model were used to demonstrate the discriminatory ability of the given model for staging systems. A smaller AIC value indicated a more desirable model for predicting outcome [19, 20]. All statistical analyses were performed using IBM SPSS Statistics 20.0 software (SPSS, Armonk, NY, USA). P < 0.05 (two-sided) was considered significant in the statistical analyses.

Results

The mean age of all patients was 61.1 (range, 20–87) years. The male to female ratio was 3.06:1. The mean number of harvested lymph nodes was 24 (range, 16–79). The median follow-up for the entire cohort was 46 months (range, 4–104). The overall 5-year survival rate of all patients was 59.0%. The majority of tumors were located in the distal two-thirds of the stomach (68.7%). EGJ tumors accounted for 7.5% of all cases. Changes in stage distribution between the 7th and 8th edition staging systems are shown in Table 1. In our study, changes of stages in the 8th edition were mostly in the subgroups of stage III. We found that the largest subgroup of stage III in the 7th edition was IIIC (n = 457), whereas the largest subgroup of stage III in the 8th edition was IIIA (n = 476). Distal gastrectomy (51.5%) was the most frequently performed operation in all cases, followed by proximal (27.1%) and total (19.8%) gastrectomy. D2 or D2+ lymphadenectomy was performed in the majority of all patients (61.8%) in our study.

Univariate and multivariate survival analysis

Survival curves according to different stages of the 7th and 8th edition staging systems were analyzed. When analyzing stage-related survival rates, significant differences were observed among all stages, with the exception of stages IB and IIA (P = 0.131) in both 7th and 8th edition staging systems. The 5-year survival rates based on the 8th edition staging system were as follows: IA: 94.5%; IB: 88.4%; IIA: 78.0%; IIB: 70.6%; IIIA: 53.8%; IIIB: 33.3%; IIIC: 18.7% (Fig. 2a). Significant differences in 5-year survival rate were observed between the stages of IA versus IB (P = 0.027), IIA versus IIB (P = 0.046), IIB versus IIIA (P = 0.001), IIIA versus IIIB (P < 0.001), and IIIB versus IIIC (P < 0.001). The 5-year survival rates based on the 7th edition staging system were as follows: IA: 94.5%; IB: 88.4%; IIA: 78.0%; IIB: 70.3%; IIIA: 57.6%; IIIB: 49.2%; IIIC: 27.6% (Fig. 2b). Similarly, significant differences in 5-year survival rate were observed between the stages of IA versus IB (P = 0.027), IIA versus IIB (P = 0.045), IIB versus IIIA (P = 0.033), IIIA versus IIIB (P = 0.042), and IIIB versus IIIC (P < 0.001). Potential prognostic differences among TNM categories belonging to the same stage group were investigated (Table 2). In the 8th edition staging system, homogeneous 5-year survival rates among different TNM categories were observed in each of the same stage groups. In comparison, in the analysis of the 7th edition staging system, the differences in 5-year survival rate among different TNM categories in the same stage group were observed in stages IIB (P = 0.010), IIIB (P = 0.004), and IIIC (P < 0.001).
Fig. 2

Stage-related 5-year survival rates in the 7th and 8th edition staging systems. Significant differences were observed among all stages, with the exception of stages IB and IIA (P = 0.131) in both 7th and 8th edition staging systems. a The 5-year survival rates based on the 8th edition staging system were as follows: IA: 94.5%; IB: 88.4%; IIA: 78.0%; IIB: 70.6%; IIIA: 53.8%; IIIB: 33.3%; IIIC: 18.7%. Significant differences in 5-year survival rate were observed between stages IA versus IB (P = 0.027), IIA versus IIB (P = 0.046), IIB versus IIIA (P = 0.001), IIIA versus IIIB (P < 0.001), and IIIB versus IIIC (P < 0.001). b The 5-year survival rates based on the 7th edition staging system were as follows: IA: 94.5%; IB: 88.4%; IIA: 78.0%; IIB: 70.3%; IIIA: 57.6%; IIIB: 49.2%; IIIC: 27.6%. Similarly, significant differences in 5-year survival rate were observed between the stages of IA versus IB (P = 0.027), IIA versus IIB (P = 0.045), IIB versus IIIA (P = 0.033), IIIA versus IIIB (P = 0.042), and IIIB versus IIIC (P < 0.001)

Table 2

Comparison of prognostic differences among TNM categories in the same stage group

TNM stage P value (8th)a P value (7th)a
IA
IB0.1390.139
IIA0.2090.209
IIB0.9570.010
IIIA0.2940.074
IIIB0.1110.004
IIIC0.179< 0.001

a P value calculated by Kaplan–Meier survival analysis and log-rank test

Stage-related 5-year survival rates in the 7th and 8th edition staging systems. Significant differences were observed among all stages, with the exception of stages IB and IIA (P = 0.131) in both 7th and 8th edition staging systems. a The 5-year survival rates based on the 8th edition staging system were as follows: IA: 94.5%; IB: 88.4%; IIA: 78.0%; IIB: 70.6%; IIIA: 53.8%; IIIB: 33.3%; IIIC: 18.7%. Significant differences in 5-year survival rate were observed between stages IA versus IB (P = 0.027), IIA versus IIB (P = 0.046), IIB versus IIIA (P = 0.001), IIIA versus IIIB (P < 0.001), and IIIB versus IIIC (P < 0.001). b The 5-year survival rates based on the 7th edition staging system were as follows: IA: 94.5%; IB: 88.4%; IIA: 78.0%; IIB: 70.3%; IIIA: 57.6%; IIIB: 49.2%; IIIC: 27.6%. Similarly, significant differences in 5-year survival rate were observed between the stages of IA versus IB (P = 0.027), IIA versus IIB (P = 0.045), IIB versus IIIA (P = 0.033), IIIA versus IIIB (P = 0.042), and IIIB versus IIIC (P < 0.001) Comparison of prognostic differences among TNM categories in the same stage group a P value calculated by Kaplan–Meier survival analysis and log-rank test Because pN3 are subdivided into pN3a and pN3b in stage groupings in the 8th edition staging system, prognoses between patients in the pN3a and pN3b categories were compared. Because the number of patients in the pN3 category is not large enough and the distribution of pT categories from pT1 to pT3 between patients in the pN3a and pN3b categories has no significant difference (P = 0.841), we conducted the analysis with a combination of pT1, pT2, and pT3 categories. The 5-year survival rate of patients in the 8th edition pT1-3N3aM0 was significantly better than that of patients in pT1-3N3bM0 (60.0% vs. 0.0%, P < 0.001; Fig. 3a). Similarly, significant differences in the 5-year survival rate were also observed between pT4aN3aM0 and pT4aN3bM0 in the 8th edition staging system (32.8% vs. 17.4%, P < 0.001; Fig. 3b). In consideration of the fact that pT4bN0M0 and T4aN2M0 were downstaged from stage IIIB to IIIA in the 8th edition staging system, prognoses of patients between the 8th edition pT4bN0M0/T4aN2M0 and stage IIIB were compared. The results showed that the 5-year survival rate of patients in the 8th edition pT4bN0M0/T4aN2M0 was significantly better than that of patients in stage IIIB (44.5% vs. 28.4%, P < 0.001; Fig. 4a). For the same reason that pT4bN2M0 and T4aN3aM0 were downstaged from stage IIIC to IIIB in the 8th edition staging system, prognoses of patients between the 8th edition pT4bN2M0/T4aN3aM0 and stage IIIC were compared. Similarly, the results showed that the 5-year survival rate of patients in the 8th edition pT4bN2M0/T4aN3aM0 was significantly better than that of patients in stage IIIC (28.0% vs. 15.1%, P < 0.001; Fig. 4b).
Fig. 3

Comparisons of 5-year survival rates between patients in the pN3a and pN3b categories in the 8th edition staging system. a The 5-year survival rate of patients in the 8th edition pT1-3N3aM0 was significantly better than that of patients in pT1-3N3bM0 (60.0% vs. 0.0%, P < 0.001). b A significant difference in 5-year survival rate was also observed between pT4aN3aM0 and pT4aN3bM0 in the 8th edition TNM system (32.8 vs. 17.4%, P < 0.001)

Fig. 4

Comparisons of 5-year survival rates between patients downstaged into different stages and those in the former stages in the 8th edition staging system. a The 5-year survival rate of patients in the 8th edition pT4bN0M0/T4aN2M0 downstaged from IIIB into IIIA was significantly better than that of patients in stage IIIB (44.5 vs. 28.4%, P < 0.001). b The 5-year survival rate of patients in the 8th edition pT4bN2M0/T4aN3aM0 downstaged from stage IIIC into IIIB was significantly better than that of patients in stage IIIC (28.0 vs. 15.1%, P < 0.001)

Comparisons of 5-year survival rates between patients in the pN3a and pN3b categories in the 8th edition staging system. a The 5-year survival rate of patients in the 8th edition pT1-3N3aM0 was significantly better than that of patients in pT1-3N3bM0 (60.0% vs. 0.0%, P < 0.001). b A significant difference in 5-year survival rate was also observed between pT4aN3aM0 and pT4aN3bM0 in the 8th edition TNM system (32.8 vs. 17.4%, P < 0.001) Comparisons of 5-year survival rates between patients downstaged into different stages and those in the former stages in the 8th edition staging system. a The 5-year survival rate of patients in the 8th edition pT4bN0M0/T4aN2M0 downstaged from IIIB into IIIA was significantly better than that of patients in stage IIIB (44.5 vs. 28.4%, P < 0.001). b The 5-year survival rate of patients in the 8th edition pT4bN2M0/T4aN3aM0 downstaged from stage IIIC into IIIB was significantly better than that of patients in stage IIIC (28.0 vs. 15.1%, P < 0.001) In all patients, nine factors were found to have statistically significant associations with overall survival in univariate analysis: age (P < 0.001), tumor location (P < 0.001), tumor size (P < 0.001), Lauren’s classification (P < 0.001), type of gastrectomy (P < 0.001), lymphovascular invasion (P < 0.001), adjuvant chemotherapy (P < 0.001), pT category (P < 0.001), and pN category (P < 0.001; Table 3). All the aforementioned variables were included in a multivariate Cox proportional hazards model to adjust for effects of covariates. In our study, the TNM stages in the 7th and 8th editions were highly correlated. Therefore, two separate multivariate models, one using the 7th edition and the other using the 8th edition system, were conducted. The results showed that age, Lauren’s classification, lymphovascular invasion, type of gastrectomy, and the 7th and 8th edition staging systems were all independent prognostic factors. Tumor location, tumor size, and chemotherapy did not show significant influence on multivariate analysis. The relative risk (RR) of the 8th edition pTNM staging group was found to be 3.140 for stage IB, 7.346 for stage IIA, 10.478 for stage IIB, 17.627 for stage IIIA, 28.219 for stage IIIB, and 47.097 for stage IIIC compared with stage IA. The RR of the 7th edition pTNM staging group was found to be 3.135 for stage IB, 7.322 for stage IIA, 10.335 for stage IIB, 14.747 for stage IIIA, 19.452 for stage IIIB, and 31.982 for stage IIIC compared with stage IA (Table 4).
Table 3

Univariate analysis of prognostic factors for survival

Variable N 5-year survival rate (%)Log rank χ 2 value P value
Gender0.1930.660
 Female41057.4
 Male125359.6
Age27.083< 0.001
 ≤60 years80466.3
 >60 years85152.2
Tumor location58.364< 0.001
EGJ12548.0
 Upper37460.5
 Middle34157.1
 Lower80267.4
 Total1824.3
Tumor size120.002< 0.001
 ≤5 cm117566.7
 >5 cm48340.1
Lauren’s classification33.137< 0.001
 Intestinal10382.6
 Mixed84961.6
 Diffuse67554.2
Type of gastrectomy98.464< 0.001
 Distal85769.0
 Proximal45151.5
 Total33042.5
Lymphovascular invasion164.855< 0.001
 No90571.7
 Yes73242.3
Extent of lymph node dissection6.3350.176
 D06056.2
 D117251.4
 D1+15168.6
 D288161.1
 D2+14758.0
T category231.597< 0.001
 T128893.9
 T222778.6
 T34667.4
 T4a106445.9
 T4b3834.2
N category451.747< 0.001
 N056384.8
 N131464.5
 N230352.2
 N3a32135.7
 N3b16216.2
Adjuvant chemotherapy131.818< 0.001
 No30092.2
 Yes136351.6
Table 4

Multivariate analysis of prognostic factors for survival

P RR95% CI
8th edition of the AJCC TNM staging system
 Age< 0.0011.4741.2441.747
 Lauren’s classification< 0.001
 Intestinal (reference)1.000
 Mixed0.0341.7031.0412.786
 Diffuse0.0022.1991.3423.603
 Lymphovascular invasion0.0141.2671.0501.529
 Type of gastrectomy< 0.001
 Distal (reference)1.000
 Proximal< 0.0011.4621.2031.777
 Total< 0.0011.6071.3111.969
8th edition staging system< 0.001
 IA (reference)1.000
 IB0.0103.1401.3207.470
 IIA0.0027.3462.09025.827
 IIB< 0.00110.4783.25133.769
 IIIA< 0.00117.6275.57155.767
 IIIB< 0.00128.2198.90189.465
 IIIC< 0.00147.09714.778150.099
7th edition of the AJCC TNM staging system
 Age< 0.0011.4841.2521.761
 Lauren’s classification< 0.001
 Intestinal (reference)1.000
 Mixed0.0281.7391.0622.850
 Diffused0.0012.2461.3693.684
 Lymphovascular invasion0.0151.2651.0481.527
 Type of gastrectomy< 0.001
 Distal (reference)1.000
 Proximal0.0011.3911.1461.690
 Total< 0.0011.6091.3051.983
7th edition staging system< 0.001
 IA (reference)1.000
 IB0.0103.1351.3187.460
 IIA0.007.3222.08225.742
 IIB< 0.00110.3353.20733.311
 IIIA< 0.00114.7474.60747.207
 IIIB< 0.00119.4526.11061.930
 IIIC< 0.00131.98210.100101.271

RR relative risk

Univariate analysis of prognostic factors for survival Multivariate analysis of prognostic factors for survival RR relative risk The performance of the 7th and 8th edition staging systems was assessed by the linear trend χ 2, likelihood ratio χ 2, and the AIC test. Compared with the 7th edition system, the 8th edition system had better homogeneity (higher likelihood ratio χ 2 score, 359.802 vs. 355.320), discriminatory ability, and monotonicity of gradients (higher linear trend χ 2 score, 457.014 vs. 436.618). Moreover, the 8th edition system had a smaller AIC value (8647.127 vs. 8667.523), representing better prognostic stratification.

Discussion

The AJCC TNM staging system has undergone several major revisions in its half-century history. The 8th edition of the AJCC TNM staging system for gastric cancer incorporates several revisions to the previous edition. In our study, the stage-related survival analysis showed that the 8th edition stage grouping widened the distance between the curves, thus better stratifying survival outcomes (Fig. 2). In the multivariate analysis, the RR of the 8th edition system increased with regular intensity along with the increment of pTNM stage grouping compared with the 7th edition system. Moreover, no significant difference in survival was observed in the same stage of the 8th edition staging system. However, in the 7th edition, significant differences in survival among TNM categories were observed in stages IIB (P = 0.010), IIIB (P = 0.004), and IIIC (P < 0.001). Similar findings arguing that some drawbacks existed in the 7th edition staging system have previously been reported [9]. Heterogeneities probably occur because of the combination of pN3a and pN3b in the final stage grouping. All these results suggest that the 8th edition staging system is superior to the 7th edition staging system. Additionally, for patients in the pT1–3 and pT4a categories, the 5-year survival rates of patients in the pN3a category were significantly better than those of patients in pN3b category. These results indicate that the modification designating pN3a and pN3b as separate groups in the stage grouping is reasonable. Actually, two studies have demonstrated that pN3a and pN3b should be taken into consideration in the final stage grouping [10, 15]. Furthermore, partial TNM categories (pT4bN0M0/T4aN2M0) of stage IIIB were downstaged to IIIA in the 8th edition staging system, and the 5-year survival rate of these patients was significantly better than that of patients in stage IIIB in the 8th edition (44.5% vs. 28.4%, P < 0.001). Similarly, the 5-year survival rate of patients in p4bN2M0/T4aN3aM0 downstaged from stage IIIC to IIIB was significantly better than that of patients in stage IIIC in the 8th edition system (28.0% vs. 15.1%, P < 0.001). These results demonstrate that the introduction of reclassification of some TNM categories makes the new edition prognostically more powerful. According to the theory proposed by Ueno et al., the criteria for evaluating the performance of staging systems are as follows: (1) homogeneity within subgroups (small differences in survival among patients within the same stage), (2) discriminatory ability between different groups (greater differences in survival among patients in different stages), and (3) monotonicity of gradients shown in the association between stages and survival rates (patients with earlier stages have longer survival than those in later stages) [21]. On the basis of the foregoing results from our study, the 8th edition TNM staging system has better homogeneity, discriminatory ability, and monotonicity of gradients than the 7th edition staging system for prognostic assessment. The main superiority of this study is that all the patients included in the current study underwent radical resection with standard lymph node dissection according to the treatment guidelines of the Japanese Gastric Cancer Association [16]. Most of the patients underwent D2 or D2+ lymph node dissection accordingly. Moreover, patients enrolled in the present study underwent adequate lymph node dissection, and the total number of harvested lymph nodes for each patient was more than 15, which prevented staging migration to a large degree. Therefore, the results of our study are reliable. However, some limitations in our study still exist. First, the definitions of clinical and post-neoadjuvant stages were included in the 8th edition of AJCC TNM staging system for the first time, and clinical and post-neoadjuvant stages were not included in the former AJCC TNM staging system. The main purpose of our study was to investigate the superiority of the 8th edition of AJCC TNM staging system by comparison with the 7th edition of AJCC TNM staging system. As a result, we did not analyze the clinical and post-neoadjuvant stages in the 8th staging system in our study. Second, the sample size remains too small, especially when stratified by the pT and pN categories, which results in low statistical power for comparison of prognosis. Further studies should be carried out to confirm our results.

Conclusions

In conclusion, the present study demonstrates that it is reasonable to designate pN3a and pN3b as separate groups during the final stage grouping in the 8th edition TNM staging system. The reclassifications of stage groupings in the 8th edition staging system are appropriate. The 8th edition system is superior to the 7th edition system in terms of homogeneity, discriminatory ability, and monotonicity of gradients for patients with gastric cancer in China. We recommend application of the 8th edition TNM staging system for gastric cancer to patients in China.
  17 in total

1.  Prognostic value of the 7th AJCC/UICC TNM classification of noncardia gastric cancer: analysis of a large series from specialized Western centers.

Authors:  Daniele Marrelli; Paolo Morgagni; Giovanni de Manzoni; Arianna Coniglio; Alberto Marchet; Luca Saragoni; Guido Tiberio; Franco Roviello
Journal:  Ann Surg       Date:  2012-03       Impact factor: 12.969

2.  Should adenocarcinoma of the esophagogastric junction be classified as esophageal cancer? A comparative analysis according to the seventh AJCC TNM classification.

Authors:  Yun-Suhk Suh; Dong-Seok Han; Seong-Ho Kong; Hyuk-Joon Lee; Young Tae Kim; Woo-Ho Kim; Kuhn Uk Lee; Han-Kwang Yang
Journal:  Ann Surg       Date:  2012-05       Impact factor: 12.969

3.  Comparison of seven staging systems in cirrhotic patients with hepatocellular carcinoma in a cohort of patients who underwent radiofrequency ablation with complete response.

Authors:  Yun Ku Cho
Journal:  Am J Gastroenterol       Date:  2008-07       Impact factor: 10.864

4.  Japanese classification of gastric carcinoma: 3rd English edition.

Authors: 
Journal:  Gastric Cancer       Date:  2011-06       Impact factor: 7.370

5.  Japanese gastric cancer treatment guidelines 2010 (ver. 3).

Authors: 
Journal:  Gastric Cancer       Date:  2011-06       Impact factor: 7.370

6.  The Global Burden of Cancer 2013.

Authors:  Christina Fitzmaurice; Daniel Dicker; Amanda Pain; Hannah Hamavid; Maziar Moradi-Lakeh; Michael F MacIntyre; Christine Allen; Gillian Hansen; Rachel Woodbrook; Charles Wolfe; Randah R Hamadeh; Ami Moore; Andrea Werdecker; Bradford D Gessner; Braden Te Ao; Brian McMahon; Chante Karimkhani; Chuanhua Yu; Graham S Cooke; David C Schwebel; David O Carpenter; David M Pereira; Denis Nash; Dhruv S Kazi; Diego De Leo; Dietrich Plass; Kingsley N Ukwaja; George D Thurston; Kim Yun Jin; Edgar P Simard; Edward Mills; Eun-Kee Park; Ferrán Catalá-López; Gabrielle deVeber; Carolyn Gotay; Gulfaraz Khan; H Dean Hosgood; Itamar S Santos; Janet L Leasher; Jasvinder Singh; James Leigh; Jost B Jonas; Jost Jonas; Juan Sanabria; Justin Beardsley; Kathryn H Jacobsen; Ken Takahashi; Richard C Franklin; Luca Ronfani; Marcella Montico; Luigi Naldi; Marcello Tonelli; Johanna Geleijnse; Max Petzold; Mark G Shrime; Mustafa Younis; Naohiro Yonemoto; Nicholas Breitborde; Paul Yip; Farshad Pourmalek; Paulo A Lotufo; Alireza Esteghamati; Graeme J Hankey; Raghib Ali; Raimundas Lunevicius; Reza Malekzadeh; Robert Dellavalle; Robert Weintraub; Robyn Lucas; Roderick Hay; David Rojas-Rueda; Ronny Westerman; Sadaf G Sepanlou; Sandra Nolte; Scott Patten; Scott Weichenthal; Semaw Ferede Abera; Seyed-Mohammad Fereshtehnejad; Ivy Shiue; Tim Driscoll; Tommi Vasankari; Ubai Alsharif; Vafa Rahimi-Movaghar; Vasiliy V Vlassov; W S Marcenes; Wubegzier Mekonnen; Yohannes Adama Melaku; Yuichiro Yano; Al Artaman; Ismael Campos; Jennifer MacLachlan; Ulrich Mueller; Daniel Kim; Matias Trillini; Babak Eshrati; Hywel C Williams; Kenji Shibuya; Rakhi Dandona; Kinnari Murthy; Benjamin Cowie; Azmeraw T Amare; Carl Abelardo Antonio; Carlos Castañeda-Orjuela; Coen H van Gool; Francesco Violante; In-Hwan Oh; Kedede Deribe; Kjetil Soreide; Luke Knibbs; Maia Kereselidze; Mark Green; Rosario Cardenas; Nobhojit Roy; Taavi Tillmann; Taavi Tillman; Yongmei Li; Hans Krueger; Lorenzo Monasta; Subhojit Dey; Sara Sheikhbahaei; Nima Hafezi-Nejad; G Anil Kumar; Chandrashekhar T Sreeramareddy; Lalit Dandona; Haidong Wang; Stein Emil Vollset; Ali Mokdad; Joshua A Salomon; Rafael Lozano; Theo Vos; Mohammad Forouzanfar; Alan Lopez; Christopher Murray; Mohsen Naghavi
Journal:  JAMA Oncol       Date:  2015-07       Impact factor: 31.777

7.  Validation of clinical AJCC/UICC TNM staging system for hepatocellular carcinoma: analysis of 5,613 cases from a medical center in southern Taiwan.

Authors:  Kwong-Ming Kee; Jing-Houng Wang; Chuan-Mo Lee; Chao-Long Chen; Chi-Sin Changchien; Tsung-Hui Hu; Yu-Fan Cheng; Hsuan-Chih Hsu; Chih-Chi Wang; Tai-Yi Chen; Chih-Yun Lin; Sheng-Nan Lu
Journal:  Int J Cancer       Date:  2007-06-15       Impact factor: 7.396

8.  Annual report on status of cancer in China, 2011.

Authors:  Wanqing Chen; Rongshou Zheng; Hongmei Zeng; Siwei Zhang; Jie He
Journal:  Chin J Cancer Res       Date:  2015-02       Impact factor: 5.087

9.  Gastric cancer treatment guidelines in Japan.

Authors:  Toshifusa Nakajima
Journal:  Gastric Cancer       Date:  2002       Impact factor: 7.370

10.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

Authors:  Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray
Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

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  22 in total

1.  Superiority of the 8th edition of the TNM staging system for predicting overall survival in gastric cancer: Comparative analysis of the 7th and 8th editions in a monoinstitutional cohort.

Authors:  Hao Wang; Weihong Guo; Yanfeng Hu; Tingyu Mou; Liying Zhao; Hao Chen; Tian Lin; Tuanjie Li; Jiang Yu; Hao Liu; Guoxin Li
Journal:  Mol Clin Oncol       Date:  2018-07-26

2.  Increased expression of EHMT2 associated with H3K9me2 level contributes to the poor prognosis of gastric cancer.

Authors:  Ping Chen; Qi Qian; Zhiyuan Zhu; Xiaohui Shen; Shenling Yu; Zhenghong Yu; Rui Sun; Yiping Li; Didi Guo; Hong Fan
Journal:  Oncol Lett       Date:  2020-06-05       Impact factor: 2.967

3.  Development and validation of a new staging system for node-negative gastric cancer based on recursive partitioning analysis: An international multi-institutional study.

Authors:  Jian-Xian Lin; Zu-Kai Wang; Wei Wang; Jian-Wei Xie; Jia-Bin Wang; Jun Lu; Qi-Yue Chen; Long-Long Cao; Mi Lin; Ru-Hong Tu; Chao-Hui Zheng; Ping Li; Zhi-Wei Zhou; Chang-Ming Huang
Journal:  Cancer Med       Date:  2019-05-08       Impact factor: 4.452

4.  COL12A1, a novel potential prognostic factor and therapeutic target in gastric cancer.

Authors:  Xiaoxia Jiang; Mengjie Wu; Xin Xu; Liwei Zhang; Yingying Huang; Zhenzhen Xu; Kuifeng He; Haiyong Wang; Haohao Wang; Lisong Teng
Journal:  Mol Med Rep       Date:  2019-08-01       Impact factor: 2.952

5.  Stromal-Immune Score-Based Gene Signature: A Prognosis Stratification Tool in Gastric Cancer.

Authors:  Hao Wang; Xiaosheng Wu; Yiming Chen
Journal:  Front Oncol       Date:  2019-11-12       Impact factor: 6.244

6.  Double Tract Reconstruction Reduces Reflux Esophagitis and Improves Quality of Life after Radical Proximal Gastrectomy for Patients with Upper Gastric or Esophagogastric Adenocarcinoma.

Authors:  Xin Ji; Chenggen Jin; Ke Ji; Ji Zhang; Xiaojiang Wu; Ziyu Jia; Zhaode Bu; Jiafu Ji
Journal:  Cancer Res Treat       Date:  2020-12-29       Impact factor: 4.679

7.  An evaluation of the feasibility of an expanded indication of endoscopic submucosal dissection for ulcer positive early gastric cancer: a case-control study from two medical centers.

Authors:  Jian-Peng Gao; Meng-Jiao Li; Tie-Nan Feng; Chao Liu; Zheng-Lun Zhu; Ben-Yan Zhang; Min Yan; Zheng-Gang Zhu
Journal:  Ann Transl Med       Date:  2020-06

8.  Proposal and validation of a modified staging system to improve the prognosis predictive performance of the 8th AJCC/UICC pTNM staging system for gastric adenocarcinoma: a multicenter study with external validation.

Authors:  Cheng Fang; Wei Wang; Jing-Yu Deng; Zhe Sun; Sharvesh Raj Seeruttun; Zhen-Ning Wang; Hui-Mian Xu; Han Liang; Zhi-Wei Zhou
Journal:  Cancer Commun (Lond)       Date:  2018-11-19

9.  Prognostic implications of the eighth edition of the union for international cancer control - classification for gastric cancer patients from specialized treatment centers in Germany and Korea: A STOBE-Compliant large-scale cohort study.

Authors:  Nicole Samm; Won Ho Han; Hong Man Yoon; Keun Won Ryu; Hyunsoon Cho; Sanghee Lee; Alexander Novotny; Helmut Friess; Young Woo Kim; Daniel Reim; Bang Wool Eom
Journal:  Medicine (Baltimore)       Date:  2020-02       Impact factor: 1.817

10.  The prognostic value of the lymph node ratio for local advanced gastric cancer patients with intensity-modulated radiation therapy and concurrent chemotherapy after radical gastrectomy in China.

Authors:  Yongqiang Yang; Yifu Ma; Xiaoyong Xiang; Pengfei Xing; Yongyou Wu; Liyuan Zhang; Ye Tian
Journal:  Radiat Oncol       Date:  2020-10-14       Impact factor: 3.481

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