Literature DB >> 30949777

Recurrence after preoperative chemotherapy and surgery for gastric adenocarcinoma: a multicenter study.

I Mokadem1, W P M Dijksterhuis2,3, M van Putten1, L Heuthorst4, J M de Vos-Geelen5, N Haj Mohammad6, G A P Nieuwenhuijzen7, H W M van Laarhoven8, R H A Verhoeven1,4.   

Abstract

BACKGROUND: In most western European countries perioperative chemotherapy is a part of standard curative treatment for gastric cancer. Nevertheless, recurrence rates remain high after multimodality treatment. This study examines patterns of recurrence in patients receiving perioperative chemotherapy with surgery for gastric cancer in a real-world setting.
METHODS: All patients diagnosed with gastric adenocarcinoma between 2010 and 2015 who underwent at least preoperative chemotherapy and a gastrectomy with curative intent (cT1N+/cT2-4a,X; any cN; cM0) in 18 Dutch hospitals were selected from the Netherlands Cancer Registry. Additional data on chemotherapy and recurrence were collected from medical records. Rates, patterns, and timing of recurrence were examined. Multivariable Cox proportional hazard analyses were used to determine prognostic factors for recurrence.
RESULTS: 408 patients were identified. After a median follow-up of 27.8 months, 36.8% of the gastric cancer patients had a recurrence of which the majority (88.8%) had distant metastasis. The 1-year recurrence-free survival was 71.8%. The risk of recurrence was higher in patients with an ypN+ stage (HR 4.92, 95% CI 3.35-7.24), partial or no tumor regression (HR 2.63, 95% CI 1.22-5.64), 3 instead of ≥ 6 chemotherapy cycles (HR 3.04, 95% CI 1.99-4.63), R1 resection (HR 1.52, 95% CI 1.02-2.26), and < 15 resected lymph nodes (HR 1.64, 95% CI 1.14-2.37).
CONCLUSION: A considerable amount of gastric cancer patients who were treated with curative intent developed a recurrence despite surgery and perioperative treatment. The majority developed distant metastases, therefore, multimodality treatment approaches should be focused on the prevention of distant rather than locoregional recurrences to improve survival.

Entities:  

Keywords:  Adjuvant chemotherapy; Drug therapy; Gastric neoplasms; Neoadjuvant therapy; Perioperative care; Recurrence

Mesh:

Year:  2019        PMID: 30949777      PMCID: PMC6811385          DOI: 10.1007/s10120-019-00956-6

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


Introduction

Gastric cancer is the fourth most common malignancy and the second leading cause of cancer death worldwide [1, 2]. There is a strong geographical variation in the incidence of gastric cancer, with higher rates observed in Asian countries [2]. Over the past century, the incidence declined steadily in Europe, however, with a 5-year relative survival rate of 18–33%, survival remains poor [3]. Therefore, over the last 2 decades several studies have focused on different perioperative and postoperative multimodality approaches, to eliminate possible residual tumor and micrometastasis to reduce the risk of recurrence [4-10]. In the MAGIC trial, perioperative chemotherapy showed an improvement in 5-year overall survival compared to surgery alone (36% vs. 23%, respectively) [5]. However, only 42% of the patients randomized in the perioperative chemotherapy arm were able to complete the full treatment regimen due to early disease progression, toxicity, lack of response to preoperative treatment, and postoperative complications. Similar percentages were found in studies with other perioperative treatment regimens in gastric cancer [9, 10]. Previous studies demonstrated that, despite multimodality treatment approaches, recurrence occurs in 14–60% of patients and is one of the main factors associated with death in patients with gastric cancer [11-17]. The majority of recurrences occur in the first 2 years after resection and are frequently distant (42–47%) rather than locoregionally (16–34%) [12-15]. Studies that have examined recurrence of gastric cancer were mostly single institution studies in Asia [6, 14, 16–18]. Asian countries have a higher overall incidence rate of gastric cancer, a higher incidence rate of intestinal-type tumors and a different distribution of risk factors compared to Europe [2]. Moreover, guidelines in the Netherlands and several other European countries nowadays recommend perioperative chemotherapy with a (partial) gastrectomy as curative treatment of gastric cancer, while guidelines in the US and Asia recommend postoperative chemo(radio)therapy alone [4, 19, 20]. These differences in tumor, population and perioperative treatment characteristics together probably result in different survival rates, although more factors should be explored [21]. Because of these differences in populations and treatment of gastric cancer, information on rates and patterns of recurrence derived from a European population is lacking. Therefore, the aim of this study is to determine the recurrence-free survival and patterns of recurrence in patients receiving pre- or perioperative chemotherapy with a gastrectomy for gastric cancer. Furthermore, we aim to identify prognostic factors of gastric cancer recurrence.

Methods

Study population

All patients diagnosed with gastric adenocarcinoma between 2010 and 2015 who underwent at least preoperative chemotherapy and a gastrectomy with curative intent (cT1N+/cT2-4a,X; any cN; cM0) in 18 Dutch hospitals were included. These hospitals covered the whole Southeastern and Eastern part of the Netherlands and two hospitals in Amsterdam and Utrecht, including four academic hospitals, 12 teaching hospitals and two non-teaching hospitals, and can, therefore, be considered as adequately reflecting the nationwide patient population and hospitals. A resection was considered to be performed with curative intent if patients had no tumor infiltrating into surrounding organs (no cT4b) and/or no clinical distant metastasis (no cM1). All included patients were treated with either a (sub-)total gastrectomy or multi-organ resection, defined as a gastrectomy in combination with surgical removal of other organs. According to the Dutch gastric cancer guideline, patients were not eligible for perioperative chemotherapy if they had a cT1N0 tumor [19]. Patients with a cardia tumor were excluded if they were treated with preoperative chemoradiotherapy and an esophagectomy according to the guideline for esophageal cancer. To obtain a homogeneous study population of patients that received chemotherapy and a resection, we included all patients who completed at least one cycle of preoperative chemotherapy and underwent a gastric resection of the primary tumor.

Data collection

Data were obtained from the Netherlands Cancer Registry (NCR), which is a population-based registry that includes all newly diagnosed malignancies in the Netherlands. The NCR contains data on diagnosis and treatment that are prospectively collected from medical records by specially trained data managers after notification by the national automated pathological archive. Annual linkage of the NCR to the Municipal Administrative Database has provided information on vital status and emigration of patients until 1 February 2017. This study was approved by the Privacy Review Board of the Netherlands Cancer Registry and the scientific committee of the Dutch Upper GI Cancer Group, and after official application did not require approval from an ethics committee in the Netherlands. In the NCR, morphology and anatomical site of the tumor were registered according to the International Classification of Disease-Oncology (ICD-O-3). Anatomical site of the gastric tumor was categorized as follows: cardia (C16.0), proximal/middle (fundus, corpus, and lesser/greater curvature, (C16.1, C16.2, C16.5, C16.6), antrum (C16.3), pyloric (C16.4) and overlapping or not otherwise specified (C16.8, C16.9). Tumor staging was performed according to TNM-7 of the International Union Against Cancer (UICC) [22]. Since the NCR was collected retrospectively from medical records, some data were incomplete such as the ASA score, Lauren’s classification, Mandard tumor regression grade [23, 24], type of pre- and postoperative chemotherapy, number of received chemotherapy cycles, recurrence-related information, and date of last follow-up. Patients were categorized as having a recurrence if their medical record described a histologically or FNA-proven recurrence or if they had imaging results indicating tumor recurrence. Recurrence patterns were classified as locoregional (locoregional lymph nodes, gastric or anastomotic tumor), distant peritoneal, or distant lymph node and/or hematogenous. In case the type of chemotherapy was changed during pre- or postoperative treatment—e.g., from ECC to EOX—patients were categorized as having received the type of chemotherapy that was given the most frequent (i.e., more cycles). Reasons for change and/or discontinuation of chemotherapy were not registered.

Statistical analysis

Descriptive statistics were used to characterize the study population according to whether or not a patient developed a recurrence. Differences between groups were assessed by the Chi-square test, or the Fisher exact test when groups were smaller than five. The recurrence-free survival (RFS) was defined as the interval between the date of initial surgery and the date of (the first) recurrence, or death of any cause, or last follow-up, whichever occurred first. Follow-up for survival was available until the 1st of February 2017. The RFS was assessed using the Kaplan–Meier method and differences between groups were assessed by the log rank test. Uni- and multivariable Cox proportional hazard analyses were used to determine prognostic factors for the development of recurrences. Variables that caused multicollinearity were excluded from the multivariable analysis. Missing variables are displayed and included as a separate categorical variable in uni- and multivariable analyses. Results were reported as hazard ratios (HRs) with 95% confidence interval (CI). A P value of < 0.05 was considered statistically significant. SAS version 9.4 (Statistical Analysis System) was used for all analyses.

Results

Patients

Between 2010 and 2015, 408 patients underwent at least 1 cycle of preoperative chemotherapy and a gastrectomy with curative intent in the 18 selected hospitals. Patient and tumor characteristics are shown in Table 1. Median age of all patients was 66 years [interquartile range (IQR) 57, 71] and 64.2% was male. Among the patients with a registered type of chemotherapy, the majority of the patients (90.7%) received preoperative chemotherapy containing epirubicin and cisplatin in combination with capecitabine or fluorouracil (ECX/ECF; 62.0%), or epirubicin and oxaliplatin in combination with capecitabine or fluorouracil (EOX/EOF; 28.7%). During preoperative chemotherapy the type of chemotherapy was changed in seven patients, five switched from ECX/ECF to EOX/EOF, and two from EOX/EOF to ECX/ECF. Of the 322 (78.9%) cases in which the number of preoperative cycles was known, 56 (17.4%) patients received less than 3 cycles of preoperative chemotherapy and, therefore, did not complete the full preoperative treatment regimen. Postoperative therapy was administered in 266 (65.3%) patients, 205 (77.1%) of these patients received postoperative chemotherapy and the other patients received chemoradiotherapy according to the CRITICS trial protocol [25]. Of patients that started postoperative chemotherapy, in 149 (72.2%) patients the number of cycles was known. Of these 149 patients, postoperative chemotherapy was not completed in 37 (24.8%) patients and completed in 112 (74.2%) patients. Complete [ypT0; tumor regression grade (TRG) 1], subtotal (TRG 2) partial (TRG 3–4) or no tumor regression (TRG 5) were present in 5.9, 4.7, 20.8, and 12.8% of the patients, respectively, however, it was unknown in 55.9% of the patients.
Table 1

Patient and tumor characteristics in terms of recurrence for gastric cancer patients diagnosed in 2010–2015 and treated with curative intent (N = 408)

CharacteristicsAll patientsRecurrenceNo recurrenceP value
N %a N %b N %b
40810015036.825863.2
Age0.1107
 ≥ 70 years14335.14330.110069.9
 60–69 years14535.55739.38860.7
 < 60 years12029.45041.77058.3
Sex0.6187
 Male26264.29435.916864.1
 Female14635.85638.49061.6
Comorbidities< 0.0001
 None10024.515252.04848.0
 19924.264545.55454.5
 2 or more10024.514141.05959.0
 Unknown10926.721211.09789.0
Type of preoperative chemotherapy0.2389
 Triplet chemotherapy31176.211837.919362.1
  ECX/ECF 201 49.3 79 39.3 122 60.7
  EOX/EOF 93 22.8 34 36.6 59 63.4
  DOCCS 16 3.9 4 25.0 12 75.0
  Other triplet chemotherapy 1 0.3 1 100.0 0 0.0
 Doublet chemotherapy122.910.7114.3
  CAP-/FOLFOX 11 2.7 1 9.1 10 90.9
  Carboplatin + paclitaxel 1 0.3 0 0.0 1 100.0
 Mono chemotherapy10.31100.000.0
 Unknown8420.63035.75464.3
Postoperative therapy0.0828
 None14234.84733.19566.9
 Chemoradiotherapy6115.03049.23150.8
 Chemotherapy20550.37335.613264.4
  ECX/ECF 93 45.4 34 36.6 59 63.4
  EOX/EOF 48 23.4 17 35.4 31 35.4
  Other chemotherapy 64 31.2 22 34.4 42 60.7
Number of chemotherapy cycles0.8693
 1 or 25313.02037.73362.3
 310626.04037.76662.3
 4 or 54811.82041.72858.3
 6 or more11528.23833.07777.0
 Unknown8621.13237.25462.8
ASA score0.0382
 Class I389.31128.92771.1
 Class II24159.18736.115463.9
 Class III7217.72230.65069.4
 Unknown5714.03052.62747.4
Lauren’s classification0.0071
 Diffuse18946.38645.510354.5
 Intestinal15437.84327.911172.1
 Mixed358.61234.32365.7
 Unknown307.4930.02170.0
Tumor regression0.0004
 Complete245.9312.52187.5
 Subtotal194.7421.01579.0
 Partial8520.83338.85261.2
 None5212.83159.62140.4
 Unknown22855.97934.714965.4
ypT stage< 0.0001
 T0307.4310.02790.0
 T15212.8611.54688.5
 T25914.51220.34779.7
 T317542.97844.69755.4
 T49022.15156.73943.3
 TX20.500.02100.0
ypN stage< 0.0001
 N018545.33116.815483.2
 N+22354.711953.410446.6
Resected lymph nodes0.3550
 < 158921.812932.66067.4
 15 or more31978.1912137.919862.1
Differentiation grade0.0805
 Well/moderately5212.81325.03975.0
 Poorly/undifferentiated20450.08441.212058.8
 Unknown15237.35334.99965.1
Resection margin< 0.0001
 R034684.811232.423467.6
 R1/R24811.83062.51837.5
 Unknown143.4857.1642.9
Tumor location0.0054
 Cardia286.9932.11967.9
 Proximal/middle15036.85436.09664.0
 Antrum11027.02825.58274.5
 Pyloric235.61043.51356.5
 Other9723.84950.54849.5

Cursive: distribution of the type of chemotherapy

ECX/ECF epirubicin + cisplatin + capecitabine or 5-fluorouracil, EOX/EOF epirubicin + oxaliplatin + capecitabine or 5-fluorouracil, DOCCS docetaxel + cisplatin + capecitabine, CAP-/FOLFOX capecitabine or 5-fluorouracil + oxaliplatin, CT chemotherapy, ASA American Society of Anesthesiology

aColumn percentages

bRow percentages

Patient and tumor characteristics in terms of recurrence for gastric cancer patients diagnosed in 2010–2015 and treated with curative intent (N = 408) Cursive: distribution of the type of chemotherapy ECX/ECF epirubicin + cisplatin + capecitabine or 5-fluorouracil, EOX/EOF epirubicin + oxaliplatin + capecitabine or 5-fluorouracil, DOCCS docetaxel + cisplatin + capecitabine, CAP-/FOLFOX capecitabine or 5-fluorouracil + oxaliplatin, CT chemotherapy, ASA American Society of Anesthesiology aColumn percentages bRow percentages

Follow-up and recurrence rates

After a median follow-up time of 27.8 months (range 0.1–83.2 moths), 175 patients (42.9%) had died at the end of follow-up. Recurrence was diagnosed in 36.8% of the patients (Table 1). No difference in the proportion of recurrence was observed for age, sex, type of preoperative chemotherapy, number of cycles of chemotherapy, and differentiation grade. Recurrence was less often present in patients with ASA I-score (P = 0.040), a tumor in the antrum (P = 0.005), an intestinal tumor type (P = 0.007), an ypT0 tumor (P < 0.001), an ypN0 tumor (P < 0.001), with complete pathological regression (ypT0) after preoperative chemotherapy (P = 0.001), and R0 resection (P < 0.001).

Patterns of recurrence

Information on the location of the recurrence was available for 125 (83.3%) patients (Fig. 1). Overall, 76 patients (60.8%) had recurrence at a single site. Among patients who had recurrence at a single site, distant recurrences were most common (81.6%) including 29 patients (46.8%) with peritoneal and 33 patients (53.2%) with distant lymph node and/or hematogenous recurrences. Only 11.2% (N = 14) of the patients had locoregional recurrence without distant recurrence. Overall, locoregional recurrences were found in 47 patients (37.6%), distant peritoneal recurrences in 66 patients (52.8%), and distant lymph node and/or hematogenous recurrences in 71 patients (56.8%). The most prevalent sites of distant lymph node and/or hematogenous recurrence were liver (N = 33, 46.5%), lung (N = 11, 15.5%), and intra-thoracic lymph nodes (N = 15, 21.1%).
Fig. 1

Overall pattern of recurrence of gastric cancer patients diagnosed with a recurrence (N = 125)

Overall pattern of recurrence of gastric cancer patients diagnosed with a recurrence (N = 125)

Time interval until recurrence

Median RFS among all patients was 22.5 months (IQR 10.0, 42.3). The 1-, 2- and 3-year RFS rates were 71.8, 58.6, and 47.4%, respectively. Among patients with recurrence, median RFS was 10.8 months (IQR 6.7, 20.0). Median RFS was shorter in patients that had distant peritoneal recurrence (7.5 months; IQR 5.0, 11.0) compared to patients with distant lymph node and/or hematogenous recurrence (14.1 months; IQR 7.5, 21.6), or patients with locoregional recurrence only (14.3 months, IQR 8.6, 30.1). Among patients without recurrence, median OS was 32.7 months (IQR 18.1, 51.9).

Multivariable analyses to identify factors associated with recurrence

The type of preoperative chemotherapy was not associated with a difference in RFS in univariable analysis (Log rank P = 0.236; Fig. 2). Partial or no tumor regression and positive resection margins were associated with differences in RFS in both univariable (Log rank P < 0.001 < 0.001; Figs. 3 and 4) and multivariable Cox regression analyses ([HR 2.63, 95% CI 1.22–5.64) and (HR 1.52, 95% CI 1.02–2.26), respectively; Table 2]. Furthermore, three rather than six or more cycles of chemotherapy (including chemotherapy cycles of chemoradiation; HR 3.04, 95% CI 1.99–4.63), an advanced ypN stage (ypN+; HR 4.92, 95% CI 3.35–7.24), diffuse type tumors (HR 1.60, 95% CI 1.09–2.35) and less than 15 resected lymph nodes (HR 1.64, 95% CI 1.14–2.37) were independent prognostic factors for recurrence (Table 2). The risk of recurrence was significantly lower in patients aged below 60 (HR 0.64, 95% CI 0.42–0.97).
Fig. 2

Recurrence-free survival (RFS) among gastric cancer patients diagnosed in 2010–2015 and treated with preoperative chemotherapy including epirubicin and cisplatin in combination with capecitabine or fluorouracil (ECX/ECF), or epirubicin and oxaliplatin in combination with capecitabine or 5-fluorouracil (EOX/EOF) (N = 201 and N = 93, respectively). RFS was defined as the interval between the date of initial operation and the date of (the first) recurrence, or death of any cause, or last follow-up (follow-up data available until 1 February 2017), whichever occurred first. Ticks represent censored patients

Fig. 3

Recurrence-free survival (RFS) among gastric cancer patients diagnosed in 2010–2015 with complete/subtotal (N = 43) tumor regression or partial/no (N = 137) tumor regression after preoperative chemotherapy. RFS was defined as the interval between the date of initial operation and the date of (the first) recurrence, or death of any cause, or last follow-up (follow-up data available until 1 February 2017), whichever occurred first. Ticks represent censored patients

Fig. 4

Recurrence-free survival (RFS) among gastric cancer patients diagnosed in 2010–2015 and treated with preoperative chemotherapy after R0 or R1 resection. RFS was defined as the interval between the date of initial operation and the date of (the first) recurrence, or death of any cause, or last follow-up (follow-up data available until 1 February 2017), whichever occurred first. Ticks represent censored patients

Table 2

Recurrence-free survival of gastric cancer patients diagnosed in 2010–2015 and treated with curative intent (N = 408)

CharacteristicsEventsaUnivariableMultivariable
HR95% CIP valueHR95% CIP value
LowerUpperLowerUpper
Age
 ≥ 70 years70RefRef
 60–69 years700.950.681.320.7401.010.701.450.965
 < 60 years580.930.661.320.684 0.64 0.42 0.97 0.034
Sex
 Male128RefRef
 Female700.990.741.320.9231.040.751.440.811
Comorbidities
 None56Ref
 1530.950.651.380.780
 2 or more621.330.921.910.126
 Unknown270.360.230.57 <  0.001
Type of preoperative chemotherapy
 Triplet chemotherapy
  ECX/ECF94RefRef
  EOX/EOF481.240.871.750.2331.260.861.850.242
  Other triplet chemotherapy80.860.421.780.6921.200.532.730.664
 Mono/doublet chemotherapy8 2.07 1.00 4.26 0.049 1.620.733.600.241
 Unknown400.940.651.360.1221.640.2610.400.599
Number of chemotherapy cycles
 1 or 2531.430.882.330.1541.480.872.540.152
 3106 2.04 1.39 2.99 <  0.001 3.04 1.99 4.63 <  0.001
 4 or 5481.210.732.000.4591.160.672.020.602
 6 or more115RefRef
 Unknown861.210.791.840.3830.880.145.410.891
Adjuvant (postoperative) treatment
 No adjuvant treatment142 1.76 1.29 2.39 <  0.001
 Chemotherapy205Ref
 Chemoradiation611.440.972.140.073
ASA score
 Class I120.590.321.060.0780.730.391.380.332
 Class II112RefRef
 Class III371.250.861.810.2461.130.751.710.566
 Unknown37 1.75 1.20 2.54 0.003 2.32 1.51 3.57 <  0.001
Lauren’s classification
 Intestinal106RefRef
 Diffuse60 1.65 1.20 2.26 0.002 1.60 1.09 2.35 0.018
 Mixed171.250.732.140.4171.030.581.850.914
 Unknown151.570.892.770.1171.570.842.910.156
Tumor regression
 Complete/subtotal8RefRef
 Partial/none81 4.06 1.96 8.40 <  0.001 2.63 1.22 5.64 0.013
 Unknown109 2.64 1.29 5.40 0.008 2.080.964.500.062
ypT stadium
 T0–2, X31Ref
 T398 3.32 2.21 4.98 <  0.001
 T469 6.07 3.96 9.31 <  0.001
ypN stadium
 N046RefRef
 N+152 4.38 3.13 6.12 <  0.001 4.92 3.35 7.24 <  0.001
Number of resected lymph nodes
 < 15471.080.781.500.651 1.64 1.14 2.37 0.008
 15 or more151RefRef
Resection margin
 R0147RefRef
 R1/R240 3.10 2.18 4.40 <  0.001 1.52 1.02 2.26 0.041
 Unknown11 3.61 1.95 6.69 <  0.001 1.730.883.400.110
Differentiation grade
 Well/moderately19 0.60 0.37 0.98 0.042 0.670.391.170.156
 Poorly/undifferentiated109RefRef
 Unknown700.790.581.060.1170.830.601.140.250
Tumor location
 Cardia141.220.692.170.5001.270.672.400.464
 Proximal/middle69RefRef
 Antrum410.790.531.160.2200.740.481.140.177
 Pyloric121.220.662.260.5230.860.441.690.662
 Other62 1.69 1.20 2.38 0.003 1.410.962.060.079

Comorbidities, adjuvant (postoperative) treatment and ypT stadium were not included in multivariable analysis to avoid multicollinearity

HR hazard ratio, CI confidence interval, ECX/ECF epirubicin + cisplatin + capecitabine or 5-fluorouracil, EOX/EOF epirubicin + oxaliplatin + capecitabine or 5-fluorouracil, ASA American Society of Anesthesiology

Cursive and bold: values are statistically significant, P < 0.05

aEvent: recurrence (local and/or distant) or death, whichever occurred first

Recurrence-free survival (RFS) among gastric cancer patients diagnosed in 2010–2015 and treated with preoperative chemotherapy including epirubicin and cisplatin in combination with capecitabine or fluorouracil (ECX/ECF), or epirubicin and oxaliplatin in combination with capecitabine or 5-fluorouracil (EOX/EOF) (N = 201 and N = 93, respectively). RFS was defined as the interval between the date of initial operation and the date of (the first) recurrence, or death of any cause, or last follow-up (follow-up data available until 1 February 2017), whichever occurred first. Ticks represent censored patients Recurrence-free survival (RFS) among gastric cancer patients diagnosed in 2010–2015 with complete/subtotal (N = 43) tumor regression or partial/no (N = 137) tumor regression after preoperative chemotherapy. RFS was defined as the interval between the date of initial operation and the date of (the first) recurrence, or death of any cause, or last follow-up (follow-up data available until 1 February 2017), whichever occurred first. Ticks represent censored patients Recurrence-free survival (RFS) among gastric cancer patients diagnosed in 2010–2015 and treated with preoperative chemotherapy after R0 or R1 resection. RFS was defined as the interval between the date of initial operation and the date of (the first) recurrence, or death of any cause, or last follow-up (follow-up data available until 1 February 2017), whichever occurred first. Ticks represent censored patients Recurrence-free survival of gastric cancer patients diagnosed in 2010–2015 and treated with curative intent (N = 408) Comorbidities, adjuvant (postoperative) treatment and ypT stadium were not included in multivariable analysis to avoid multicollinearity HR hazard ratio, CI confidence interval, ECX/ECF epirubicin + cisplatin + capecitabine or 5-fluorouracil, EOX/EOF epirubicin + oxaliplatin + capecitabine or 5-fluorouracil, ASA American Society of Anesthesiology Cursive and bold: values are statistically significant, P < 0.05 aEvent: recurrence (local and/or distant) or death, whichever occurred first

Discussion

This multicenter study demonstrated that after a median follow-up of 27.8 months, more than a third of the gastric cancer patients who were treated with at least one cycle of preoperative chemotherapy and a gastrectomy with curative intent developed a recurrence, of which the far majority (90%) developed a distant metastasis. This study identified age above 60, R1 resection margin, ypN+ tumor stage, diffuse type tumors, partial or no tumor regression, and no postoperative therapy as independent associated factors with a higher chance on recurrence. Rates of recurrence in gastric cancer patients vary from 14–60% within the current literature [11–17, 26]. Comparison of these results is difficult, because of different inclusion criteria, methodological variation and disparity in treatment regimens [11-14], and patient populations [15–17, 26]. Our results confirm previous studies that distant recurrences are the most common type of recurrence in gastric cancer patients after curative surgery [12, 13, 26]. For example, Spolverato and colleagues [12] reported that nearly three of every four patients who experienced a recurrence had at least a distant recurrence. Also, survival was worse after recurrence had occurred in patients diagnosed with distant recurrence compared to patients with locoregional recurrence. In line with previous findings, the present study revealed that 82% of patients who had a single site recurrence had a distant recurrence, and almost 90% of all with a recurrence showed a distant component (Fig. 1). Distant recurrences were mostly located in the peritoneum, liver, lungs and intra-thoracic lymph nodes. The dissemination to specific organs may partly be explained by drainage of tumor cells in the vascular and lymphatic system or shedding of tumor cells from the surface of the primary tumor into the peritoneal cavity [12]. Earlier studies have reported that the majority of recurrences occurs within 2–3 years after surgery which is in line with our findings [12, 26]. Adequate surveillance for recurrences, if any, is, therefore, particularly important within the first 3 years after surgery. Currently, there is no consensus on how follow-up should be performed or how frequently it should be scheduled [27]. The aim of follow-up is to diagnose recurrences in an early stage to enhance the possibility of curative treatment after a recurrence has been detected. However, an increase in overall survival in gastric cancer patients after an early diagnosis of recurrence has not been demonstrated in previous research [27], probably due to the fact that most recurrences are distant recurrences which are not amenable to curative treatment. It remains to be shown that early start of palliative systemic treatment and palliative care improves survival and quality of life. Earlier studies found that patients with a Lauren diffuse-type tumor had a higher rate of recurrence compared to the intestinal type [13, 17], and that tumor regression was lowest in diffuse-type tumors [28]. Our study demonstrates that the risk of recurrence is higher in patients with partial or no pathological tumor regression and patients with diffuse-type tumors. Moreover, highest HR for recurrence was found in patients with an advanced ypN stage (ypN+; HR 4.9), which is in line with earlier studies [11, 15, 26]. Eventually, amendable factors which could substantially affect RFS are perioperative systemic and surgical treatment outcomes. Our results demonstrate that the type of preoperative chemotherapy did not predict the risk of recurrence. However, in the future this may change due to introduction of the FLOT (5-FU, folinic acid, oxaliplatin, docetaxel) regimen, which has appeared to be superior to ECF and ECX [9]. Nonetheless, recurrence was more frequent among patients that received only three cycles of chemotherapy in combination with surgery, compared to those who underwent six or more cycles of chemotherapy and surgery. In our description of ‘real world’ patterns of care only 28% of the patients completed the perioperative regimen, which is substantially lower than the 42% completion rate in the MAGIC trial [5]. Therefore, it may be argued that to improve treatment outcome, improved tolerability of systemic therapy rather than increased intensity should be the focus of further research. Given the lower tolerability of these regimens, at least in Western countries, one way to achieve this goal may be to focus more on neoadjuvant treatment regimens, rather than perioperative or adjuvant treatment, like in the recently started CRITICS II trial [29]. Reasons for not completing postoperative treatment have appeared to include high toxicity of preoperative chemotherapy, early disease progression, and postoperative complications [5]. Therefore, initiatives for adjusting perioperative treatment to only neoadjuvant treatment emerge, however, questions on the optimal number of cycles remain. Besides systemic therapy, quality of surgical treatment may also influence the probability of recurrence, as positive resection margins and resection of less than 15 lymph nodes were independently associated with higher recurrence rates as well. Due to centralization of surgery in the Netherlands, the rate of R1 resections has already significantly decreased over the past few years [30]. However, an adequate lymphadenectomy, increased use of perioperative treatment and the standard use of, for example, intraoperative frozen section should remain an important concern to prevent locoregional recurrences. On the other hand, some possible causes of an R1 resection, such as aggressive tumor biology, are harder to influence than inadequate surgery techniques and perioperative treatment strategies. Moreover, recurrence rates appeared to be independently associated with ypN+ stage and, therefore, chances of recurrence remain significant in patients with pathologic-positive lymph nodes, even after R0 resection. This study is not without limitations. First, some variables had a high rate of missing values, with the highest percentages for tumor regression, type of preoperative chemotherapy, number of preoperative chemotherapy cycles, and type of postoperative chemotherapy. These variables were missing for at least 84 patients, because their data were collected prior to this study for other purposes. However, we did have information on recurrence, last follow-up, ASA score and Lauren’s classification for these patients and, therefore, decided that is was useful to include these data. Second, we could not analyze which factors were associated with specific recurrence patterns. Previous studies that explored recurrence patterns found that different clinical pathological factors contributed to specific recurrence patterns [12, 13, 15, 17, 26]. Unfortunately, the small numbers of patients per pattern in our population precluded the investigation of prognostic factors for specific recurrence patterns. Last, the NCR did not have nationwide information WHO performance status. However, we did include ASA score, as a proxy parameter of performance status, which has shown to be an important predictor for morbidity and mortality after a gastrectomy [31]. A strength of this study is the use of the national cancer registry data and additionally collected data that provide information on recurrence, the type of chemotherapy and the completion of treatment, which are often missing in previous research. Furthermore, the present study is the first multicenter study that investigates the RFS in patients receiving preoperative chemotherapy with surgery for gastric cancer. This study has the advantage of including patients diagnosed in recent years from both academic hospitals and (non-)teaching hospitals, and, therefore, provides a good reflection of current clinical practice in The Netherlands. In conclusion, this study provides an overview on patterns, timing, and prognostic factors for recurrence after curative treatment of gastric cancer patients. Despite perioperative treatment, a considerable number of patients who were treated with curative intent developed a recurrence during clinical follow-up. Multimodality treatment approaches to prevent recurrences in gastric cancer patients should be focused on the prevention of distant rather than locoregional recurrences.
  28 in total

1.  Rates and patterns of recurrence after curative intent resection for gastric cancer: a United States multi-institutional analysis.

Authors:  Gaya Spolverato; Aslam Ejaz; Yuhree Kim; Malcolm H Squires; George A Poultsides; Ryan C Fields; Carl Schmidt; Sharon M Weber; Konstantinos Votanopoulos; Shishir K Maithel; Timothy M Pawlik
Journal:  J Am Coll Surg       Date:  2014-06-26       Impact factor: 6.113

2.  Neo-adjuvant chemotherapy followed by surgery and chemotherapy or by surgery and chemoradiotherapy for patients with resectable gastric cancer (CRITICS).

Authors:  Johan L Dikken; Johanna W van Sandick; H A Maurits Swellengrebel; Pehr A Lind; Hein Putter; Edwin P M Jansen; Henk Boot; Nicole C T van Grieken; Cornelis J H van de Velde; Marcel Verheij; Annemieke Cats
Journal:  BMC Cancer       Date:  2011-08-02       Impact factor: 4.430

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

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

4.  Morbidity and mortality according to age following gastrectomy for gastric cancer.

Authors:  S D Nelen; K Bosscha; V E P P Lemmens; H H Hartgrink; R H A Verhoeven; J H W de Wilt
Journal:  Br J Surg       Date:  2018-04-23       Impact factor: 6.939

5.  Global cancer statistics.

Authors:  Ahmedin Jemal; Freddie Bray; Melissa M Center; Jacques Ferlay; Elizabeth Ward; David Forman
Journal:  CA Cancer J Clin       Date:  2011-02-04       Impact factor: 508.702

6.  Incidence and factors associated with recurrence patterns after intended curative surgery for gastric cancer.

Authors:  Chew-Wun Wu; Su-Shun Lo; King-Han Shen; Mao-Chih Hsieh; Jen-Hao Chen; Jen-Huey Chiang; Hwai-Jeng Lin; Anna F-Y Li; Wing-Yiu Lui
Journal:  World J Surg       Date:  2003-02       Impact factor: 3.352

7.  The incidence, risk factors and prognostic implications of venous thromboembolism in patients with gastric cancer.

Authors:  K W Lee; S M Bang; S Kim; H J Lee; D Y Shin; Y Koh; Y G Lee; Y Cha; Y J Kim; J H Kim; D J Park; H H Kim; D Oh; J S Lee
Journal:  J Thromb Haemost       Date:  2009-12-21       Impact factor: 5.824

8.  Comparison of five tumor regression grading systems for gastric adenocarcinoma after neoadjuvant chemotherapy: a retrospective study of 192 cases from National Cancer Center in China.

Authors:  Yuelu Zhu; Yongkun Sun; Shangying Hu; Yong Jiang; Jiangying Yue; Xuemin Xue; Lin Yang; Liyan Xue
Journal:  BMC Gastroenterol       Date:  2017-03-14       Impact factor: 3.067

9.  Follow-up after curative resection for gastric cancer: Is it time to tailor it?

Authors:  Paolo Aurello; Niccolò Petrucciani; Laura Antolino; Diego Giulitti; Francesco D'Angelo; Giovanni Ramacciato
Journal:  World J Gastroenterol       Date:  2017-05-21       Impact factor: 5.742

10.  Perioperative chemotherapy more of a benefit for overall survival than adjuvant chemotherapy for operable gastric cancer: an updated Meta-analysis.

Authors:  Ya'nan Yang; Xue Yin; Lei Sheng; Shan Xu; Lingling Dong; Lian Liu
Journal:  Sci Rep       Date:  2015-08-05       Impact factor: 4.379

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  16 in total

1.  Determinants of clinical outcomes of gastric cancer patients treated with neoadjuvant chemotherapy: a sub-analysis of the PRODIGY study.

Authors:  Hyung-Don Kim; Jong Seok Lee; Young Soo Park; Jeong Hwan Yook; Sung Hoon Noh; Young-Kyu Park; Young-Woo Kim; Sang Cheul Oh; Jong Gwang Kim; Min-Hee Ryu; Jae-Ho Cheong; HyunKi Kim; Joon Seok Lim; Jae-Hyuk Lee; Suk Hee Heo; Jin Young Kim; Mi Hwa Heo; Young Iee Park; In-Ho Kim; Yoon-Koo Kang
Journal:  Gastric Cancer       Date:  2022-08-03       Impact factor: 7.701

2.  Prediction of Survival and Recurrence Patterns by Machine Learning in Gastric Cancer Cases Undergoing Radiation Therapy and Chemotherapy.

Authors:  Melek Akcay; Durmus Etiz; Ozer Celik
Journal:  Adv Radiat Oncol       Date:  2020-07-29

3.  The impact of initial treatment strategy and survival time on quality of end-of-life care among patients with oesophageal and gastric cancer: A population-based cohort study.

Authors:  Karin Dalhammar; Marlene Malmström; Maria Schelin; Dan Falkenback; Jimmie Kristensson
Journal:  PLoS One       Date:  2020-06-22       Impact factor: 3.240

4.  Piperine Inhibits Cell Proliferation and Induces Apoptosis of Human Gastric Cancer Cells by Downregulating Phosphatidylinositol 3-Kinase (PI3K)/Akt Pathway.

Authors:  Hanyu Chen; Hongqing Sheng; Yushuo Zhao; Guanghui Zhu
Journal:  Med Sci Monit       Date:  2020-12-31

5.  Hepatic metastasis of gastric cancer is associated with enhanced expression of ethanolamine kinase 2 via the p53-Bcl-2 intrinsic apoptosis pathway.

Authors:  Takashi Miwa; Mitsuro Kanda; Dai Shimizu; Shinichi Umeda; Koichi Sawaki; Haruyoshi Tanaka; Chie Tanaka; Norifumi Hattori; Masamichi Hayashi; Suguru Yamada; Goro Nakayama; Masahiko Koike; Yasuhiro Kodera
Journal:  Br J Cancer       Date:  2021-02-03       Impact factor: 7.640

6.  Outcomes of Neoadjuvant Chemotherapy for Clinical Stages 2 and 3 Gastric Cancer Patients: Analysis of Timing and Site of Recurrence.

Authors:  Masaya Nakauchi; Elvira Vos; Laura H Tang; Mithat Gonen; Yelena Y Janjigian; Geoffrey Y Ku; David H Ilson; Steven B Maron; Sam S Yoon; Murray F Brennan; Daniel G Coit; Vivian E Strong
Journal:  Ann Surg Oncol       Date:  2021-02-10       Impact factor: 4.339

7.  Tumor Regression Grade Predicts Survival in Locally Advanced Gastric Adenocarcinoma Patients with Lymph Node Metastasis.

Authors:  Yilin Tong; Yanmei Zhu; Yan Zhao; Zexing Shan; Jianjun Zhang; Dong Liu
Journal:  Gastroenterol Res Pract       Date:  2020-07-18       Impact factor: 2.260

Review 8.  Interpretation of the development of neoadjuvant therapy for gastric cancer based on the vicissitudes of the NCCN guidelines.

Authors:  Xian-Ze Wang; Zi-Yang Zeng; Xin Ye; Juan Sun; Zi-Mu Zhang; Wei-Ming Kang
Journal:  World J Gastrointest Oncol       Date:  2020-01-15

9.  Evaluation and Comparison of Predictive Value of Tumor Regression Grades according to Mandard and Becker in Locally Advanced Gastric Adenocarcinoma.

Authors:  Yilin Tong; Yanmei Zhu; Yan Zhao; Zexing Shan; Dong Liu; Jianjun Zhang
Journal:  Cancer Res Treat       Date:  2020-08-10       Impact factor: 4.679

10.  Prediction of Sensitivity and Efficacy of Clinical Chemotherapy Using Larval Zebrafish Patient-Derived Xenografts of Gastric Cancer.

Authors:  Jing Zhai; Jiaqi Wu; Yaohui Wang; Ruoyue Fan; Guiping Xie; Fangfang Wu; Yani He; Sitong Qian; Aimin Tan; Xuequan Yao; Mingfang He; Lizong Shen
Journal:  Front Cell Dev Biol       Date:  2021-06-07
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