Skip to main content

Competing risk nomogram predicting initial loco-regional recurrence in gastric cancer patients after D2 gastrectomy



Lacking quantitative evaluations of clinicopathological features and the risk factors for loco-regional recurrence (LRR) in gastric cancer after D2 gastrectomy, we aimed to develop a competing risk nomogram to identify the risk predictors for initial LRR.


We retrospectively analysed 1105 patients who underwent radical gastrectomy with D2 resection for stage I-III gastric cancer. A nomogram predicting initial LRR of gastric cancer was conducted based on Fine and Grey’s competing risk analysis. The predictive accuracy and discriminative ability of the model were determined using the concordance index (C-index) and calibration curve. Decision tree analysis was performed for patient grouping.


At a median follow-up of 28.4 months, 274 patients developed 373 first recurrence events (local, regional, and distant disease). The median recurrence-free survival (RFS) was 16.7 months. Multivariate competing risk analysis showed that age (SHR, 1.72; 95% CI, 1.10–2.83, p = 0.031), CEA (SHR, 1.94; 95% CI, 1.09–3.46, p = 0.024), pT4 (SHR, 2.77; 95% CI, 1.01–7.57, p = 0.047), lymph node metastasis (SHR 1.92, 95% CI: 1.09–3.38, p = 0.024) and LVI (SHR, 1.84; 95% CI, 1.06–3.20, p = 0.028) were independent risk factors for LRR (all p < 0.05). The nomogram incorporating these factors achieved good agreement between prediction and actual observation with a concordance index of 0.738 (95% CI, 0.767 to 0.709). In a subgroup analysis of node-positive patients, pN3b was associated with increased peritoneal and distant metastasis (p = 0.048). The para-aortic lymph nodes were the most frequent sites (n = 71) of LRR, and among them, the 16a2 and 16b1 nodes exhibited even more prevalence (90.1 and 81.7%).


Adjuvant radiotherapy might be recommended in gastric cancer patients ≥65 years old or those with pN+, pT4, LVI, or increased CEA levels, particularly in high-risk or pN1-3a patients. The competing risk nomograms may be considered as convenient and individualized predictive tools for LRR in gastric cancer after D2 gastrectomy. It is also recommended that the clinical target volume (CTV) include 16a2 and 16b1 regions of para-aortic lymph nodes.


Globally, there are nearly 1 million cases of gastric cancer annually, making it the third leading cause of global cancer mortality [1]. China is one of the countries with a high gastric cancer incidence [2]. Most patients with gastric cancer in China are symptomatic and are diagnosed with locally advanced disease [3]. Complete surgical eradication of a gastric tumour (total or partial gastrectomy) with resection of adjacent lymph nodes (D2 dissection) represents the best chance for long-term survival [4]. The observed high mortality reflects the prevalence of advanced disease at presentation [3]. Treatment failure in patients with resected gastric carcinoma is related to locoregional failure (LRR) as well as to distant metastases with or without peritoneal dissemination. LRR following curative resection with lymph node D0–1 resection is fairly common [5, 6]. LRR is more frequent in patients who underwent surgery without chemoradiotherapy or in those who had a low number of resected negative lymph nodes [7, 8]. Current trials of postoperative chemoradiotherapy have shown a significant survival benefit after complete resection with D0–1 resection of gastric cancer [9, 10]. However, in the Dutch CRITICS trial, 788 patients with potentially resectable gastric cancer received induction chemotherapy followed by surgery and randomization to postoperative chemotherapy or chemoradiotherapy [11]. All patients underwent D1 or better lymphadenectomy with at least 15 nodes in the resected specimens. At a median follow-up of 61 months, there were no significant differences in five-year overall survival or progression-free survival, and local recurrence rates were 15% versus 11%. Thus, selecting patients who may benefit from radiotherapy seems to be more important.

Many predicting factors associated with LRR have been identified in previous studies, such as tumour location [12], pT stage [7, 13, 14], pathologic node status [7, 13, 14], extent of lymph node dissection [12, 15], tumour grade [13], and surgical margin status [15]. Considering these factors, postoperative adjuvant therapies and radiotherapy may be individualized to decrease recurrence rates, which will help to select suitable patients for radiotherapy in a multidisciplinary approach. A nomogram is a statistical model that combines and quantifies all proven prognostic factors using a simple graphical representation. Several nomograms for gastric cancer recurrence and prognosis have been established in recent years, but none specifically for this patient population based on a competing risk model. Therefore, we conducted this retrospective study to quantitatively evaluate the clinicopathological features and the risk factors for initial LRR in gastric cancer after D2 gastrectomy by establishing a nomogram and decision trees. Our study aimed to identify the patients with the highest risk for LRR. Furthermore, the second aim was to determine the pattern and risk factors for para-aortic node recurrence.


Patient characteristics

Between January 2010 and December 2012, 1250 patients with adenocarcinoma of the stomach or gastroesophageal junction underwent gastric resection at our hospital.

The inclusion criteria included patients diagnosed with stage I-III adenocarcinoma according to the American Joint Committee on Cancer (AJCC) eighth edition [16]; who underwent R0 gastrectomy with D2 lymph node dissection; and with histopathologically proven adenocarcinoma of the stomach or gastroesophageal junction.

The exclusion criteria were patients who did not undergo R0 resection (n = 138); and patients for whom not all of the nomogram variables were available (n = 7).

R0 resection was defined as a total or partial gastrectomy without microscopic involvement of the resection lines. Among the remaining 1105 patients, 288 patients underwent total gastrectomy, and 817 patients had partial gastrectomy. Only 10 patients received pancreatic tail resection or splenectomy or both.

Data collection

All patients’ clinical and pathological characteristics, including age, sex, tumour location, depth of tumour invasion, number of positive lymph nodes, neo-adjuvant treatment, adjuvant treatment, recurrence and survival information, were retrospectively reviewed based on operative notes and medical records.

Definition of the recurrence pattern and survival time

All patients were followed from the date of surgery to the date of death or loss to follow-up. The last follow-up for recurrence was January 2018. Patients were followed up every 3 months during the first 2 years and every 6 months thereafter following surgery. Regular follow-up evaluations consisted of endoscopy, ultrasound (US), computed tomography (CT), magnetic resonance imaging (MRI) or PET/CT scans. The recurrence pattern was determined according to the primary recurrence site diagnosed by imaging (CT, US, MRI or PET/CT), endoscopy, ascitic cytology, or biopsy. All of the recurrences were evidenced by diagnostic imaging, such as endoscopy, CT, MRI or PET/CT. Furthermore, histological examinations were performed in 137 patients. Local regional recurrence included recurrence at stomas, duodenal stump, tumour bed, residual stomach and regional lymph nodes. The regions of lymph node recurrence were determined according to the Japanese Gastric Cancer Treatment Guidelines [17]. Peritoneal dissemination was determined to be any recurrence within the abdominal cavity due to intraperitoneal distribution or mesothelial implantation. Distant metastasis was defined as any metastasis to distant lymph nodes outside the abdominal cavity, distant organs or sites except for the peritoneum [18]. Recurrence-free survival (RFS) was defined as the time from surgery to recurrence or death from any other cause. The death of patients who did not present to the hospital was confirmed through phone conversations or letters.

In the Japanese Gastric Cancer Association (JGCA) N-classification, every single lymph node was numbered as a station (No. 1 to No. 112) and grouped by anatomical position. According to the Japanese classification, the para-aortic lymph node is further numbered as station 16 (No. 16) and sub-classified as 16a1, 16a2, 16b1 and 16b2 [17]. The ‘16a1’ lymph node is defined as a node located between the aortic foramen and the upper margin of the celiac axis in the craniocaudal direction. The ‘16a2’ lymph node is defined as a node located between the upper margin of the celiac axis and the lower margin of the left renal vein (LRV). The ‘16b1’ lymph node is defined as a node located between the lower margin of LRV and the upper margin of the inferior mesenteric artery (IMA). The ‘16b2’ lymph node is defined as a node located between the upper margin of the IMA and bifurcation of the abdominal aorta [17].

Statistical analysis

The primary end point of this study was LRR and its risk factors. The secondary end point was the pattern and risk factors for para-aortic node recurrence.

Statistical analyses were performed using SPSS Statistics 19 (IBM Corp., Armonk, NY, USA). Thirteen clinically relative characteristics (sex, age, Bormann type, tumour location, histological type, CEA level, CA-199 level, T stage, lymph node metastasis, lymphovascular invasion, perineural invasion, adjuvant chemotherapy, and number of lymph nodes dissected) were examined as potential risk factors for recurrence. Kaplan-Meier analysis and log-rank tests were used to assess associated factors. Initial local regional recurrence and initial distant metastasis with or without LRR were regarded as two competing events. The combined effects of the variables on LRR were evaluated by proportional hazard analyses of Fine and Grey’s model [19, 20]. Predictors with a P value of < 0.05 in the univariate analysis were entered into a multivariate analysis based on proportional subdistribution hazard models, and a nomogram was developed based on the independent risk factors identified in the multivariate analysis. Nomograms were created using the nomogram function of the “rms” package in R software, and the performance of the nomograms was measured by the concordance index (C-index) and assessed by calibration curves [21]. A higher C-index indicates a better ability to separate patients with different survival outcomes. The calibration curves were used to compare the predicted probability with the observed probability in the study cohort. Bootstrapping with 100 resamples was used to develop the nomogram and calibration curve to reduce the overfit bias [22]. Competing risk analysis, nomogram and ROC curves were determined using R version 3.4.2 software (The R Foundation for Statistical Computing, Vienna, Austria. A two-tailed p-value < 0.05 was considered statistically significant. The program partykit was implemented in R software (Mathsoft, Cambridge, MA) was used to generate a decision tree to validate the nomogram.


The clinical characteristics of the 1105 patients are summarized in Table 1. The median age at diagnosis was 59 years (range, 22–88). There were 785 males (71.0%) and 320 females (29.0%). The most frequent tumour location was the stomach antrum (46.4%) and body (39.5%), followed by fundus (14.1%). The median number of dissected lymph nodes was 18 (15–81). Neoadjuvant and adjuvant chemotherapy were administered in 23 (2.1%) and 681 (61.6%) patients, respectively. A total of 677 patients (61.3%) received fluorouracil-based chemotherapy. Almost half of the patients (48.4%) received adjuvant chemotherapy over 3 cycles. A total of 144 patients received oral administration of S-1 or capecitabine for approximately 1 year or until the side effects became too strong to tolerate. No patient received adjuvant radiotherapy.

Table 1 Clinicopathological characteristics of 1105 gastric cancer patients after D2 gastrectomy

Initial patterns of failure in patients with gastric cancer after radical gastrectomy

With a median follow-up of 28.4 (range, 3–94) months, 274 patients (24.8%) of 1105 patients developed recurrences. In total, there were 373 first recurrence events, including LRR (n = 135), distant metastasis (n = 124) and peritoneal dissemination (n = 114). Eighty-five patients experienced multiple patterns of first failure. Among the patients who experienced recurrence at a single site, the numbers of patients with LRR, distant metastasis and peritoneal dissemination were 66, 59 and 64, respectively (Fig. 1). The most common sites of LRR included regional node recurrence (n = 95).

Fig. 1
figure 1

Initial recurrence patterns of gastric cancer patients undergoing D2 gastrectomy

Risk factors for LRR

By univariate competing risk regression analysis, age of 65 years or older, gastric body tumour location, pN+, pN3, pT4, lymphovascular invasion (LVI), perineural invasion, and elevated CEA and CA-199 levels were correlated with LRR (Table 2, all p < 0.05).

Table 2 Univariate and multivariate competing risk analysis of factors associated with risk of loco-regional recurrence

Using the multivariate competing risk regression analysis, we found age of 65 years or older (SHR = 1.72, 95% CI 1.10–2.83, p = 0.031), pN+ (SHR = 1.92, 95% CI 1.09–3.38, p = 0.024), pT4 (SHR = 2.77, 95% CI 1.01–7.57, p = 0.047), LVI (SHR = 1.84, 95% CI 1.06–3.20, p = 0.028) and elevated CEA level (SHR = 1.94, 95% CI 1.09–3.46, p = 0.024) to be significantly associated with LRR (Fig. 2).

Fig. 2
figure 2

a: Comparison of cumulative incidence of LRR between the patients <65 years old and ≥ 65 years old. LRR = local regional recurrence. b: Comparison of cumulative incidence of LRR between the patients with normal and increased CEA level. c: Comparison of cumulative incidence of LRR between the patients with negative and positive LVI. d: Comparison of cumulative incidence of LRR among the patients with different T stages. e: Comparison of cumulative incidence of LRR among the patients with different tumor locations. f: Comparison of cumulative incidence of LRR between the node-negative and node-positive patients

Construction and validation of nomograms for initial LRR

All independent predictors of initial LRR in the entire study cohort were integrated into the nomogram. Figure 3a illustrates the predictive nomograms that were established for the 3-year RFS rate. A patient’s individual probability of survival can easily be calculated by adding the scores for each selected variable. The nomogram demonstrated good accuracy for RFS prediction, with a C-index of 0.738 (95% CI, 0.767 to 0.709). Calibration plots for the probabilities of 3-year RFS showed fair agreement between the nomogram-predicted survival and actual survival (Fig. 3b).

Fig. 3
figure 3

a: Nomograms for predicting RFS of gastric cancer after D2 gastrectomy. Each variable corresponds to a point on the scale. According to the sum of these points projected on the bottom scales, the nomogram can provide the probabilities of 3-year RFS for an individual patient. RFS = recurrence-free survival. b: Best tree for recurrence-free survival of gastric cancer. Pathological T stage was the initial node, preoperative CEA levels and N stage following D2 gastrectomy

Classification tree for the prognosis of gastric cancer

Classification tree analysis is another method for determining the recurrence factors associated with gastric cancer after D2 gastrectomy. The result of the pruned tree is shown in Fig. 4. The pathological T stage was the initial node. Preoperative CEA level and pathological N stage were also determinants for RFS in this patient population.

Fig. 4
figure 4

Calibration plots for recurrence-free survival in patients with gastric cancer. The solid grey line represents equality between the predicted and observed probabilities. With the red line close to the solid grey line, the plots reveal excellent agreement between the nomogram-predicted probabilities and actual observations

Estimation of the recurrence period

During the follow-up, 274 patients experienced recurrence with a median RFS of 16.7 months (interquartile range [IQR] 8.5, 30.8). The median RFS rates for patients with LRR, distant metastasis, peritoneal dissemination and multiple pattern recurrence as the first event were 18.1 months (IQR 10.6, 39.2), 15.8 months (IQR 7.8, 30.7), 14.3 months (IQR 8.4, 22.7), and 17.3 months (IQR 7.8, 25.8), respectively (p = 0.178).

We then grouped patients according to risk factors (pN+, pT4, LVI, ≥65 years old or elevated CEA) for LRR: the high-risk group had 4–5 risk factors (LRR rate 30.1%); the intermediate-risk group had 2–3 risk factors (LRR rate 17.8%); and the low-risk group had 0–1 risk factor (LRR rate 4.7%) (p < 0.0001).

Finally, we analysed the subgroup of node-positive patients. Using multivariate competing risk regression analysis, the risk of developing distant metastasis in patients with pN3b gastric cancer was significantly higher than that in pN1-3a gastric patients (SHR 1.68, 95% CI: 1.00–2.83, p = 0.048, Fig. 5).

Fig. 5
figure 5

Cumulative incidence of distant metastasis stratified by pN stage in node-positive gastric cancer patients

Pattern and risk factors for Para-aortic node recurrence

The para-aortic lymph node was the most frequent site of regional node recurrence (71 patients, 74.7%). Kaplan-Meier analysis was conducted to investigate the prognostic factors in patients with para-aortic lymph node recurrence (Table 3). LVI, pN+, pT3/4, pN3 and elevated CEA or CA-199 levels were significantly associated with para-aortic lymph node recurrence in a univariate analysis (p < 0.05). However, there was no significant difference in the para-aortic lymph node metastasis rate among different tumour locations. In the multivariate analysis, pN3 (HR = 2.737, 95% CI 1.430–5.240, p = 0.002), LVI (HR = 2.399, 95% CI 1.354–4.248, p = 0.003) and elevated CEA (HR = 4.598, 95% CI 2.570–8.226, p < 0.001) showed a statistically significant correction with para-aortic lymph node recurrence. The sites of para-aortic node recurrence were 16a2 (n = 64/71, 90.1%), 16b1 (n = 58/71, 81.7%), 16b2 (n = 26/71, 36.6%) and 16a1 (n = 21/71, 29.6%).

Table 3 Univariate and multivariate analysis of para-aortic lymph node recurrence


In patients with localized or locally advanced gastric cancer, prognosis remains dismal after surgery alone. Efforts to improve treatment results beyond those obtained with surgery alone have included chemotherapy and radiotherapy. Intergroup study 0116 showed survival improvement in association with postoperative chemoradiotherapy [9, 23]. The unsatisfactory results of this study are related to the limited extent of the surgical procedure in most cases. Previously, evidence was provided by the ARTIST trial with 458 patients treated with D2 lymph node dissection [24]. LRR was significantly lower in patients who received chemoradiotherapy (7 versus 13%, p = 0.0033). However, survival rates were similar in both arms [24]. Chemoradiotherapy seemed to be beneficial in patients with node-positive disease or a higher lymph node ratio. The available data on whether there is a survival benefit from postoperative radiotherapy in patients receiving radical D2 gastrectomy is controversial [25, 26]. On the other hand, the use of image-guided intensity-modulated radiation therapy reduces the incidence of gastrointestinal toxicity. Therefore, the interest of the present study is to select patients who may benefit from radiotherapy and to determine a suitable radiation target volume for adjuvant radiotherapy. The results of this study show the following (1): multiple factors can be taken into account to more accurately predict the risk of LRR in patients treated with D2 gastrectomy, including age, tumour stage, LVI and CEA level; and (2) the 16a2 and 16b1 regions of para-aortic lymph nodes should be included in postoperative clinical target volume (CTV) planning in patients undergoing D2 gastrectomy.

Our study confirms that LRR is relatively common after D2 gastrectomy in patients with gastric cancer. One problem in designing prospective trials of adjuvant RT is selecting patients who might have the highest chance to benefit from local control. Studies have identified many factors associated with loco-regional failure in univariate analysis, including tumour location [12], pT stage [7, 13, 14], pathologic node status [7, 13, 14], tumour grade [13], surgical margin status [15], extent of lymph node dissection [12, 15], and tumour size [13].

The present study shows that multiple factors allow a better stratification of the risk of LRR for patients undergoing D2 gastrectomy. Patients with 4–5 risk factors (≥65 years old, pN+, pT4, LVI or elevated CEA level), which we define here as conferring high risk, with an LRR rate of up to 30.1%, have more necessity for radiotherapy.

In this analysis, we demonstrate the feasibility of this nomogram and its ability to predict probabilities using points on a scale from 0 to 100 via a user-friendly graphic interface with readily available clinicopathological data. The nomogram supports the use of radiotherapy in the “suitable” group, which is defined as patients with 4–5 risk factors (≥65 years old, pN+, pT4, LVI or elevated CEA level). The nomogram performs well in predicting RFS, and its prediction is supported by the C-index (0.738) and the calibration curve.

However, in the subgroup analyses of our study, although most (76.4%) of the patients with pN+ received adjuvant chemotherapy, the rate of LRR (18.1%) remained high. Nevertheless, as found in other studies [24, 27], peritoneal metastasis and distant metastasis (27.0%) were even more frequent than LRR. As shown from the analysis in the node-positive subgroup, pN3b patients suffer earlier distant metastasis or peritoneal dissemination than patients with pN1-3a. These results provide support for adjuvant chemoradiotherapy in pN1-3a patients with D2-resected gastric cancer who may benefit from local treatment.

The para-aortic lymph node is the most frequent site of regional node recurrence in patients with D2-resected gastric cancer. It has been reported that the incidence of recurrence in the para-aortic region is 61.5% in 16b nodes and 58.2% in 16a nodes in N3 patients after D2 lymph node dissection [28]. In our study, the incidence of para-aortic lymph node recurrence was high, which is similar to the findings reported in other studies [15]. The 2015 Cochrane analysis of the JCOG trial and two other smaller randomized trials of D2 versus D3 (with paraaortic lymphadenectomy) dissection concluded that resection of the paraaortic nodes did not provide any significant survival benefit [29]. Thus, the surgical treatment of para-aortic lymph node dissection (D3) is not yet established. Meanwhile, the para-aortic lymph node region is not included in the target of postoperative radiation according to the National Comprehensive Cancer Network (NCCN) guidelines [30] or the CRITICS guidelines. The CRITICS guideline recommends that CTV for adjuvant radiotherapy include the anastomoses, gastric bed/remnant and elective lymph node stations corresponding to the specific tumour location, such as the proximal, middle, and distal stomach [11]. However, because our study found that the 16a2 and 16b1 regions of the para-aortic lymph nodes were the most common sites regardless of the primary tumour location, the 16a2 and 16b1 regions are recommended for CTV inclusion. The target volume, including the 16a2 and 16b1 regions, may be larger, and radiation-induced toxicity of adjacent organs, such as the kidneys, may increase. However, great technical progress has been made to improve the effectiveness of radiotherapy and minimize the side effects [11, 24].

To our knowledge, this is the first study to apply competing risk analysis methods to risk factors for LRR in gastric carcinoma, a statistical approach that is less biased than the more commonly used Kaplan-Meier method. Our analysis of the para-aortic node recurrence subgroup identified that all patients with different tumour locations had a high probability of 16a2 and 16b1 recurrence, confirming the clinical importance of 16a2 and 16b1 region irradiation in adjuvant radiotherapy.

A limitation of our study is that this is only a retrospective study based on a single centre. Prospective studies of para-aortic region radiotherapy must be conducted in the future.


The results of this analysis demonstrate that lymph node status, T stage, LVI, age and CEA level are significant factors associated with LRR for patients undergoing D2 gastrectomy. The formulation of a nomogram for calculating LRR in patients undergoing D2 gastrectomy may guide appropriate selection for patients at high risk for LRR for whom adjuvant radiotherapy would be appropriate. It is also recommended that the CTV include the 16a2 and 16b1 regions of the para-aortic lymph nodes for adjuvant radiotherapy for the treatment of gastric cancer.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.



The American Joint Committee on Cancer


concordance index


Computed tomography


Clinical target volume


Inferior mesenteric artery


Japanese Gastric Cancer Association


Local regional recurrence


Left renal vein


Lymphovascular invasion


Magnetic resonance imaging


National Comprehensive Cancer Network


Recurrence-free survival




  1. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359–86.

    Article  CAS  Google Scholar 

  2. Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, et al. Cancer statistics in China, 2015. CA Cancer J Clin. 2016;66(2):115–32.

    Article  Google Scholar 

  3. Zheng L, Wu C, Xi P, Zhu M, Zhang L, Chen S, et al. The survival and the long-term trends of patients with gastric cancer in Shanghai. China BMC Cancer. 2014;14:300.

    Article  Google Scholar 

  4. Songun I, Putter H, Kranenbarg EM, Sasako M, van de Velde CJ. Surgical treatment of gastric cancer: 15-year follow-up results of the randomised nationwide Dutch D1D2 trial. Lancet Oncol. 2010;11(5):439–49.

    Article  Google Scholar 

  5. Wanebo HJ, Kennedy BJ, Chmiel J, Steele G Jr, Winchester D, Osteen R. Cancer of the stomach. A patient care study by the American College of Surgeons. Ann Surg. 1993;218(5):583–92.

    Article  CAS  Google Scholar 

  6. Spolverato G, Ejaz A, Kim Y, Squires MH, Poultsides GA, Fields RC, et al. Rates and patterns of recurrence after curative intent resection for gastric cancer: a United States multi-institutional analysis. J Am Coll Surg. 2014;219(4):664–75.

    Article  Google Scholar 

  7. Li F, Zhang R, Liang H, Liu H, Quan J. The pattern and risk factors of recurrence of proximal gastric cancer after curative resection. J Surg Oncol. 2013;107(2):130–5.

    Article  Google Scholar 

  8. Gunderson LL, Sosin H. Adenocarcinoma of the stomach: areas of failure in a re-operation series (second or symptomatic look) clinicopathologic correlation and implications for adjuvant therapy. Int J Radiat Oncol Biol Phys. 1982;8(1):1–11.

    Article  CAS  Google Scholar 

  9. Macdonald JS, Smalley SR, Benedetti J, Hundahl SA, Estes NC, Stemmermann GN, et al. Chemoradiotherapy after surgery compared with surgery alone for adenocarcinoma of the stomach or gastroesophageal junction. N Engl J Med. 2001;345(10):725–30.

    Article  CAS  Google Scholar 

  10. Moertel CG, Childs DS, O'Fallon JR, Holbrook MA, Schutt AJ, Reitemeier RJ. Combined 5-fluorouracil and radiation therapy as a surgical adjuvant for poor prognosis gastric carcinoma. J Clin Oncol. 1984;2(11):1249–54.

    Article  CAS  Google Scholar 

  11. Cats A, Jansen EPM, van Grieken NCT, Sikorska K, Lind P, Nordsmark M, et al. Chemotherapy versus chemoradiotherapy after surgery and preoperative chemotherapy for resectable gastric cancer (CRITICS): an international, open-label, randomised phase 3 trial. Lancet Oncol. 2018;19(5):616–28.

    Article  CAS  Google Scholar 

  12. Liu D, Lu M, Li J, Yang Z, Feng Q, Zhou M, et al. The patterns and timing of recurrence after curative resection for gastric cancer in China. World J Surg Oncol. 2016;14(1):305.

    Article  Google Scholar 

  13. Feng XY, Chen YB, Wang W, Guan YX, Li YF, Chen S, et al. Time-varying pattern of recurrence risk for gastric cancer patients. Med Oncol (Northwood, London, England). 2013;30(2):514.

    Article  Google Scholar 

  14. Schwarz RE, Zagala-Nevarez K. Recurrence patterns after radical gastrectomy for gastric cancer: prognostic factors and implications for postoperative adjuvant therapy. Ann Surg Oncol. 2002;9(4):394–400.

    Article  Google Scholar 

  15. Kaito A, Kinoshita T, Tokunaga M, Sunagawa H, Watanabe M, Sugita S, et al. Prognostic factors and recurrence pattern of far-advanced gastric Cancer with pathologically-positive Para-aortic lymph nodes. Anticancer Res. 2017;37(7):3685–92.

    PubMed  Google Scholar 

  16. Amin MB, Edge SB, Greene FL, et al. AJCC Cancer Staging Manual. 8th ed. New York: Springer; 2017.

  17. Japanese Gastric Cancer Association. Japanese classification of gastric carcinoma: 3rd English edition. Gastric Cancer. 2011;14(2):101–12.

  18. Fan M, Li G, Shen L, Zhang H, Liang L, Zhang Z. Identification of patients with lymph node metastasis from gastric cancer who may benefit from adjuvant chemoradiotherapy after D2 dissection--do N3 patients benefit from additional radiation? Br J Radiol. 2016;89(1059):20150758.

    Article  Google Scholar 

  19. Gray R. A class of $K$-sample tests for comparing the cumulative incidence of a competing risk. Ann Stat. 1988;16(3):1141–54.

    Article  Google Scholar 

  20. Fine JP, Gray R. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc. 1999;94(446):496–509.

    Article  Google Scholar 

  21. Zhang Z, Geskus RB, Kattan MW, Zhang H, Liu T. Nomogram for survival analysis in the presence of competing risks. Ann Transl Med. 2017;5(20):403.

    Article  Google Scholar 

  22. Carmona R, Zakeri K, Green G, Hwang L, Gulaya S, Xu B, et al. Improved method to stratify elderly patients with Cancer at risk for competing events. J Clin Oncol. 2016;34(11):1270–7.

    Article  CAS  Google Scholar 

  23. Smalley SR, Benedetti JK, Haller DG, Hundahl SA, Estes NC, Ajani JA, et al. Updated analysis of SWOG-directed intergroup study 0116: a phase III trial of adjuvant radiochemotherapy versus observation after curative gastric cancer resection. J Clin Oncol. 2012;30(19):2327–33.

    Article  CAS  Google Scholar 

  24. Park SH, Sohn TS, Lee J, Lim DH, Hong ME, Kim KM, et al. Phase III trial to compare adjuvant chemotherapy with Capecitabine and cisplatin versus concurrent Chemoradiotherapy in gastric Cancer: final report of the adjuvant Chemoradiotherapy in stomach tumors trial, including survival and subset analyses. J Clin Oncol. 2015;33(28):3130–6.

    Article  CAS  Google Scholar 

  25. Drognitz O, Henne K, Weissenberger C, Bruggmoser G, Gobel H, Hopt UT, et al. Long-term results after intraoperative radiation therapy for gastric cancer. Int J Radiat Oncol Biol Phys. 2008;70(3):715–21.

    Article  Google Scholar 

  26. Shridhar R, Dombi GW, Weber J, Hoffe SE, Meredith K, Konski A. Adjuvant radiation therapy increases overall survival in node-positive gastric cancer patients with aggressive surgical resection and lymph node dissection: a SEER database analysis. Am J Clin Oncol. 2012;35(3):216–21.

    Article  CAS  Google Scholar 

  27. Deng J, Liang H, Wang D, Sun D, Pan Y, Liu Y. Investigation of the recurrence patterns of gastric cancer following a curative resection. Surg Today. 2011;41(2):210–5.

    Article  Google Scholar 

  28. Yoon HI, Chang JS, Lim JS, Noh SH, Hyung WJ, An JY, et al. Defining the target volume for post-operative radiotherapy after D2 dissection in gastric cancer by CT-based vessel-guided delineation. Radiother Oncol. 2013;108(1):72–7.

    Article  Google Scholar 

  29. Mocellin S, McCulloch P, Kazi H, Gama-Rodrigues JJ, Yuan Y, Nitti D. Extent of lymph node dissection for adenocarcinoma of the stomach. Cochrane Database Syst Rev. 2015;8:Cd001964.

  30. Ajani JA, D'Amico TA, Almhanna K, Bentrem DJ, Chao J, Das P, et al. Gastric Cancer, version 3.2016, NCCN clinical practice guidelines in oncology. J Natl Compr Cancer Netw. 2016;14(10):1286–312.

    Article  Google Scholar 

Download references


Not applicable.


This study was supported in part by the National Natural Science Foundation of China (grant 81803164, grant 81673102, grant 81602791).

Author information

Authors and Affiliations



SBW conducted data extraction, quality appraisal, data synthesis and analysis, and drafted the manuscript. WXQ and WGC designed the protocol, performed the search, data extraction, quality appraisal, data synthesis and interpretation, and drafted the manuscript. JYC, MY and CX contributed to writing and editing the manuscript. YMK, LC and CR determined the scope of the review and contributed to protocol design and writing and editing the manuscript. GC had full access to the data, takes responsibility for data integrity, and is the guarantor of the review. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Gang Cai.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, SB., Qi, WX., Chen, JY. et al. Competing risk nomogram predicting initial loco-regional recurrence in gastric cancer patients after D2 gastrectomy. Radiat Oncol 14, 128 (2019).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: