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Research Paper
The optimal strategy of multimodality therapies for resectable gastric
cancer: evidence from a network meta-analysis
Songcheng Yin1,2,5, Pengliang Wang1,3,5, Xiaoyu Xu4, Yuen Tan1,3, Jinyu Huang1,3,
Huimian Xu1,3, *
1 Department of Surgical Oncology, First Affiliated Hospital of China Medical
University, Shenyang, China
2 Center for Digestive Disease, The Seventh Affiliated Hospital of Sun Yat-sen
University, Shenzhen, China
3 Key Laboratory of Gastric Cancer Molecular Pathology of Liaoning Province, 155
Nanjing North Street, Heping District, Shenyang, China
4 Department of Gynecology, The Seventh Affiliated Hospital of Sun Yat-sen
University, Shenzhen, China
5 These two authors contribute equally in this work
*Corresponding Author: Prof. Huimian Xu, Department of Surgical Oncology, First
Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping
District, Shenyang, 110001, China. Phone: +86-024-83283556; Fax: +86-024-
83283556; E-mail: [email protected]
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Abstract
Background. Controversy continues regarding the optimal strategy of multimodality
therapies for resectable gastric cancer. The aim of this network meta-analysis was to
determine the efficacy of surgery combined with neoadjuvant or adjuvant
chemotherapy (CT), radiotherapy (RT), and chemoradiotherapy (CRT) by integrating
the direct and indirect method.
Methods. A systematically search for randomized controlled trials (RCTs) was
performed through Medline, Embase, CENTRAL, and PMC databases. Overall
survival (OS) was the primary outcome of interest. A Bayesian network meta-analysis
was conducted and treatments were ranked based on their effectiveness for improving
survival.
Results. Fifty-six RCTs involving 12,435 patients were included. Overall analysis
showed that neoadjuvant CRT resulted in a statistically significantly better OS
compared with adjuvant CT, adjuvant RT, adjuvant CRT, neoadjuvant CT,
neoadjuvant RT, and surgery alone. Moreover, subgroup analysis of D2
lymphadenectomy revealed that neoadjuvant CRT was not significant superior to
neoadjuvant CT (HR = 0.67, 95% CrI 0.41–1.08), adjuvant CRT (HR = 0.67, 95% CrI
0.37–1.21), and adjuvant CT (HR = 0.60, 95% CrI 0.35–1.04). With a tendency to
survival benefit, neoadjuvant CRT had an 89% probability of being the best selection.
Conclusions. Our study showed no significant survival advantage for neoadjuvant
CRT, though the highest probability of being the best treatment was observed. Further
clinical trials are essential to determine the value of neoadjuvant CRT, especially in
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D2 lymphadenectomy subgroup.
Keywords: gastric cancer, neoadjuvant therapy, adjuvant therapy, network meta-
analysis
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INTRODUCTIONGastric cancer (GC) represents the fifth most prevalent malignancy and the third
leading cause of cancer mortality worldwide [1]. Surgery is still the only potential
curative treatment, and the 5‐year survival rate of patients received curative surgery
remains ranging from 24% to 45% [2, 3]. Multiple treatment options including
surgery–based neoadjuvant and/or adjuvant therapies have been applied to improve
the survival of GC patients in the past several decades.
The Southwest Oncology Group (SWOG) 9008/INT–0116 study, the milestone
trial of postoperative adjuvant treatment, laid the foundation for adjuvant
chemoradiotherapy (CRT), which became a commonly used treatment in the United
States [4]. In parts of Europe, perioperative or neoadjuvant chemotherapy (NCT) has
become the standard treatment for GC mainly based on the results of the Medical
Research Council Adjuvant Gastric Infusional Chemotherapy (MAGIC) trial and
Federation Nationale des Centres de Luttecontre le Cancer (FNCLCC)/Federation
Francophone de Cancerologie Digestive (FFCD) trial [2, 5].Thereafter, Adjuvant
Chemotherapy trial of S-1 for Gastric Cancer (ACTS-GC) study and the Capecitabine
and Oxaliplatin Adjuvant Study in Stomach Cancer (CLASSIC) study established the
D2-lymphadenectomy-based surgery combined with adjuvant chemotherapy (CT) as
the standard treatment in Asian [6, 7].Additionally, other treatment options, including
adjuvant radiotherapy (RT), neoadjuvant RT and neoadjuvant CRT, have also been
applied in GC [8-10].
However, insufficient studies evaluated the comparison between these treatment
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options and reported conflicting results [11, 12], the comparison among these options
remained unknown. Thus, in the current study, we designed a network meta-analysis
to evaluate the efficacy of different treatment options in treating resectable GC
patients and compared by integrating the previous trials.
METHODS
Literature Search
Medline, Embase, the Cochrane Central Register of Controlled Trials
(CENTRAL), PMC database and the abstracts from the American Society of Clinical
Oncology and European Society for Medical Oncology were systematically retrieved
up to June 30, 2017. The search strategy consisted of the medical subject headings
(MeSH) and key words for GC and treatment options. Additionally, the reference lists
from eligible trials and review studies were also screened manually. All the included
studies should be in accordance with ethical standards of the responsible committee
on human experimentation and the Helsinki Declaration of 1964 and later versions.
Two authors (SCY and PLW) conducted the process of the literature search
independently. Disagreements were resolved through the group discussion.
Study Selection
The inclusion criteria for this meta-analysis was performed as follows: (i)
prospective randomized controlled trials (RCTs); (ii) patients with pathologically
proven as gastric or esophagogastric junction cancer (EGJ); (iii) pair-wise comparison
of treatment modalities grouped as surgery combined neoadjuvant/adjuvant treatments
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(CT, RT, or CRT), and surgery alone; (iv) sufficient data to extract hazard ratios (HRs)
to evaluate survival difference; (v) studies published in English. Patients with
unresectable, metastatic, or recurrent disease were excluded. If trials with multiple
publications were retrieved, the most recent reported one was included to obtain the
longest follow-up. We excluded the articles that enrolled esophagogastric junction
cancer along with esophageal cancer because of unextracted data of esophagogastric
junction cancer alone.
Data Extraction and Quality Assessment
The following study characteristics were recorded for each included study: (i)
basic study information, including the first author, publication year and country; (ii)
pathological and demographic characteristics, including gender, age, histopathological
type, TNM stage and lymphadenectomy information; (iii) research protocol, including
regimens compared, intervention schedules and the number of patients in each group;
(iv) outcome indicators, including follow-up information and survival data. All
articles were evaluated for risk of bias using the Cochrane Risk of Bias tool, which
classified studies into three categories.Two reviewers independently completed data
extraction and quality evaluation for each eligible study.
Statistical Analysis
Overall survival (OS) was selected as the primary endpoint which was measured
using hazard ratio (HR) with its 95% credible intervals (95% CrIs). Assessment of
treatment efficacy were derived first from direct pairwise comparisons in RevMan
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software version 5.2 for statistical analysis. In order to obtain robust results, the
random effects model was performed. Next, a Bayesian network meta-analysis was
performed using JAGS and the GeMTC package in R software (https://drugis.org/
software/r-packages/gemtc). For studies with more than two arms, we considered the
correlation between the relative therapeutic effects using the approach reported by
Woods[13]. Consistency between direct and indirect evidence was assessed by
comparing the pooled HRs from traditional pair-wise comparisons with corresponding
results from the network meta-analyses. Moreover, the probability of each treatment
being the best was calculated by ranking the relative efficacies of all regimens based
on its posterior probabilities. All statistical tests were 2-sided with α of 0.05.
RESULTS
Description of the Included Studies
Fifty-six RCTs contained 12,435 patients were included in our meta-analysis
through the systematically literature review (Fig.1). Among the eligible studies,
patients received seven different treatment regimens containing surgery alone or
surgery-based treatment which involved in adjuvant CT, adjuvant RT, adjuvant CRT,
neoadjuvant CT, neoadjuvant RT, and neoadjuvant CRT (Fig.2). The primary features
of the included studies were summarized in Supplementary Table S1. Almost trials
were randomized with two comparator arms, in addition to one study comprising
three arms involving adjuvant CT, adjuvant RT and surgery alone [8]. The main
clinicopathologic characteristics of the enrolled patients in the included studies were
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showed in Supplementary Table S2. There was a high degree of consistency among
the patients among the studies. The average age of the patients ranged from 55 to 65
years old; and the majority of patients were stage II-II.
Direct Comparison Meta-analysis for OS
Results of standard pairwise meta-analysis were presented in Supplementary Fig.
S1 and S2. Comparing with surgery alone, adjuvant CT (HR = 0.82, 95% CI 0.77–
0.87), adjuvant CRT (HR = 0.77, 95% CI 0.65–0.91), neoadjuvant CT (HR = 0.78,
95% CI 0.68–0.91), neoadjuvant RT (HR = 0.79, 95% CI 0.66–0.94), and neoadjuvant
CRT (HR = 0.35, 95% CI 0.15–0.81) showed significantly OS benefit. Nevertheless,
adjuvant RT resulted in a nonsignificant effect on survival (HR = 1.17, 95% CI 0.92–
1.49). When compared with adjuvant CT, there was no significantly reduced mortality
risk in patients who received adjuvant CRT (HR = 0.91, 95% CI 0.75–1.09) or
neoadjuvant CT (HR = 0.74, 95% CI 0.55–1.00), respectively. In addition, no
significant difference in OS was found between adjuvant CT and adjuvant RT (HR =
0.82, 95% CI 0.64–1.05). Similar result was found between neoadjuvant CRT and
neoadjuvant CT (HR = 0.67, 95% CI 0.41–1.08).
Network Meta-analysis for OS
A random–effect model network meta-analysis was established to compare
surgery alone, adjuvant CT, adjuvant RT, adjuvant CRT, neoadjuvant CT, neoadjuvant
RT, and neoadjuvant CRT (Fig.3a). The pooled HRs with 95% CrIs revealed that all
intervention measures resulted in a statistically significantly better OS compared with
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surgery alone, apart from adjuvant RT (HR = 1.07, 95% CrI 0.86–1.34). In the
comparisons of adjuvant therapies, efficacy results showed that adjuvant CRT (HR =
0.71, 95% CrI 0.54–0.93) and CT (HR = 0.78, 95% CrI 0.62–0.96) were both superior
to adjuvant RT. For the comparison between adjuvant CRT and CT, the combined HR
did not favour either regimen (HR = 0.92, 95% CrI 0.78–1.08). With regard to
neoadjuvant therapies, patients who underwent neoadjuvant CRT demonstrated a
survival advantage compared with those who had neoadjuvant CT (HR = 0.61, 95%
CrI 0.39–0.96) or RT (HR = 0.56, 95% CrI 0.33–0.94). Moreover, there was no
significant difference among the comparisons of adjuvant CT, adjuvant CRT, and
neoadjuvant CT.
It is encouraging that neoadjuvant CRT was significant superiority compared
with the rest therapies (Fig. 3a). Additionally, the results of the probability of being
the most effective therapeutic schedule were as follows: neoadjuvant CRT (97.23%),
neoadjuvant CT (1.05%), adjuvant CRT (1.01%), neoadjuvant RT (0.89%), adjuvant
CT (0.01%), adjuvant RT (0.01%), and surgery alone (0%) (Fig. 3b).
Subgroup Analysis
For patients received D1 lymphadenectomy, adjuvant CT, adjuvant CRT,
neoadjuvant CT and surgery alone were researched in RCTs. Our results showed
survival advantage with adjuvant CRT (HR = 0.76, 95% CrI 0.63–0.91) and
neoadjuvant CT (HR = 0.79, 95% CrI 0.65–0.98) compared with surgery alone (Fig.
4a), whereas adjuvant CT had no survival benefit statistically (HR = 0.84, 95% CrI
0.69–1.03). There was no significant difference between adjuvant CRT and
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neoadjuvant CT. Ranking analysis revealed that adjuvant CRT, neoadjuvant CT, and
adjuvant CT had values at 53.03%, 31.89%, and 15.08% probability of being the best
regimen, respectively (Fig. 4b).
In terms of patients underwent D2 lymphadenectomy, adjuvant CT, adjuvant
CRT, neoadjuvant CT, neoadjuvant CRT and surgery alone were applied in RCTs.
These treatment options were all associated with a survival advantage over surgery
alone (Fig. 4c). Neoadjuvant CRT tended to be superior to neoadjuvant CT (HR =
0.67, 95% CrI 0.41–1.08), adjuvant CRT (HR = 0.67, 95% CrI 0.37–1.21), and
adjuvant CT (HR = 0.60, 95% CrI 0.35–1.04) but with nonsignificant. Additionally,
neoadjuvant CRT had the highest (89.05%) probability of being the best treatment
(Fig. 4d).
Comparison of toxicity
The grade 3 and above adverse events data from 27 RCTs were showed in Table
1. In general, there was no obviously difference in the toxicity for patients treated
with adjuvant CT, adjuvant CRT, neoadjuvant CT, and neoadjuvant CRT. For patients
who received adjuvant CT had the highest rate of diarrhea (6.2%) when compared
with adjuvant CRT, neoadjuvant CT, and neoadjuvant CRT. The incidence of
leukopenia (30.0%) was the highest among the patients with adjuvant CRT.
Additionally, only one trial reported the toxicity data for neoadjuvant CRT. And the
most common adverse events were leukopenia (11.7%) and Thrombocytopenia
(5.0%).
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Quality Assessment and Network Consistency
Minimal bias was found among majority of studies by using the Cochrane risk of
bias tool. Risk of bias summary by domain and each study was showed in
Supplementary Fig. S3. No studies showed high risk bias in the integrity of outcome
data and comprehensiveness of the report, which was impersonal and had a relatively
low bias.
We evaluated the consistency between direct and indirect comparisons with
node-split models and the results showed that no significant inconsistency for OS (all
P > 0.05, Supplementary Fig. S4).
DISCUSSION
Evidence-based multiple effective treatment modalities were applied in the
treatment of resectable GC and the prognosis of patients were also improved during
the past decades. However, the comparison of these treatment options remained
unclear. To our knowledge, this is the first study to synthesize all efficacy evidence
from 56 trials, compared different treatment options using a Bayesian network meta-
analysis. The results showed that neoadjuvant CRT resulted in a statistically
significantly better OS compared with adjuvant CT, adjuvant RT, adjuvant CRT,
neoadjuvant CT, neoadjuvant RT, and surgery alone. Subgroup analysis revealed that
neoadjuvant CRT tended to be superior to adjuvant CT, adjuvant CRT, and
neoadjuvant CT which had the highest probability of being the best treatment and
might be the best treatment strategy on the basis of D2 lymphadenectomy.
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D2 lymphadenectomy, accepted as the standard operation for advanced GC in
both Asian and Western, is associated with lower loco-regional recurrence and cancer-
specific death [14]. Actually, surgery alone cannot achieve a biological cure for
advanced GC, even though the extended lymphadenectomy is performed. Adjuvant
and neoadjuvant therapies are generally accepted to eradicate microscopic disease,
result an additional 10%–15% survival benefit based on the curative surgical
resection[15].
Adjuvant CRT gained much popularity in the United States since the results of
INT–0116 study reported [4]. Thereafter, D2 lymphadenectomy combined with
adjuvant CT has become the standard treatment in Asia mainly based on the ACTS–
GC and CLASSIC trials [6, 7]. Our results also found that adjuvant CRT and CT were
superior to surgery alone. These results confirmed the necessity of postoperative
adjuvant treatment. For adjuvant RT, non-significant result was observed when
compared with surgery alone. Additionally, the comparison between adjuvant CRT
and adjuvant CT also showed non-significant results. Subgroup analysis showed that
adjuvant CRT was superior to surgery alone but positive results was not found in
adjuvant CT for patients with D1 lymphadenectomy. Several previous studies also
showed that the advantages of adjuvant or additional RT could be observed in patients
with lymph nodes metastasis, D1 resections and positive margins[16-18]. These
results elucidated that postoperative RT may serve as a supplementary treatment
option when combined with adjuvant CT.
The superiority of neoadjuvant CT mainly attributes to the increasing rate of R0
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resection and controlling microscopic disease. For the comparison between
neoadjuvant CT and adjuvant CT, the results of our direct comparison and indirect
comparison analyses indicated insignificantly difference, which was consistent with
previous study [19]. However, no clinical trials evaluated the difference between
neoadjuvant CT and adjuvant CRT. Recently, a retrospective study showed that
patient received neoadjuvant CT was superior to those received adjuvant CRT in
terms of survival [20]. Nevertheless, our current study did not obtain the same results
and further study will be needed to evaluate these two treatment options.
Notably, the overall analysis indicated that neoadjuvant CRT was significantly
superior to other therapeutic strategy in terms of the rank probability of being the best
selection. However, subgroup analysis of D2 lymphadenectomy showed that patients
with neoadjuvant CRT seemed to be correlated with a better but a nonsignificant
survival advantage. With the highest probability of being the best treatment, the level
of evidence for neoadjuvant CRT was downgraded from high to moderate, as the CrI
crossed the unit [21]. Since the tumor has not changed the anatomical location and is
rich in vascularization before surgery, the neoadjuvant CRT is more effective and
sensitive. Moreover, smaller irradiated volumes and therefore less toxic reactions
were observed lead to well tolerant for patients received preoperative RT [15]. Thus,
more feasibility and safety neoadjuvant CRT resulted in higher rate of pCR and R0
resection [22-24]. In the ongoing prospective trials, TOPGEAR trial was designed to
compare neoadjuvant CRT with neoadjuvant CT followed by postoperative CT with
D2 lymphadenectomy. Until this result is available, our data presented here providing
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an evidence of support neoadjuvant CRT.
The phase III MAGIC and FNLCC/FFCD trials confirmed that perioperative CT
was superior to surgery alone and was widely used in Europe [2, 5]. Unfortunately,
fewer than 50% patients completed the postoperative chemotherapy in these two
trials, mainly because of the surgical complications and nutrition status [5]. Even
though the higher R0 resection and pCR rates were achieved, unsatisfied recurrence
rate, especially the distant recurrence rate, were obtained in patients received
neoadjuvant CT/CRT [2, 5, 10, 25]. A previous retrospective study reported that
postoperative CT gained more survival benefit than observation for patients received
neoadjuvant CRT [26]. This result further confirmed the superiority of the
perioperative treatment pattern. Future trials should consider the difference and
evaluate the neoadjuvant and perioperative treatment properly.
Moreover, tumor location may also affect the treatment options. A study
investigated the treatment trend in the United States showed that noncardia GC
patients had different treatment pattern compared with cardia patients. Preoperative
treatment, especially the preoperative CRT, was the most commonly used treatment
among cardia patients, whereas the postoperative treatment was the most commonly
used among noncardia patients [27]. Additionally, the molecular heterogeneity and
subtypes had been explored in different tumor location and this might also affect the
response to the chemotherapy and radiotherapy [28, 29]. Thus, the effect of the tumor
location and treatment response should be considered in the future trials.
Several limitations should be acknowledged in present study. The trials included
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in our study lasted for a long period and the improvement of treatment schedules or
technique may affect our findings. We evaluated the consistency with node-split
models and showed relatively well transitivity. Moreover, our study used all
information from published data other than individual patient data, which might
influence the accuracy of assessment, even though we obtained part of information
from previously individual patient data meta-analysis [30]. Additionally, some certain
endpoints like disease-free survival and disease-specific survival could not obtain
from published studies, which might influence our analysis. Several studies
investigated the treatment both in esophagogastric junction cancer and gastric cancer.
However, part of trials could not obtain the subgroup data for these two tumor sites.
Thus, we may not evaluate the effects of treatment in different tumor location.
Furthermore, it was difficult to implement subgroup analysis stratified by different
regions (Asia, Europe and the US). Because studies in different areas were
inadequate. Most Asian and European trials used D2 lymph node dissection, while the
US studies focused on D1 lymph node dissection. Therefore, subgroup analysis of
lymph node dissection may partly reflect the subgroup results in different regions.
CONCLUSIONS
Our findings showed a potential survival advantage conferred by neoadjuvant
CRT. Despite nonsignificant survival advantage was observed for patients with D2
lymphadenectomy, neoadjuvant CRT had the highest probability of being the best
treatment. Future direct head-to-head clinical trials are needed to identify the
effectiveness of neoadjuvant CRT in D2 lymphadenectomy subgroup.
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ACKNOWLEDGMENTS
This work was supported by National Natural Science Foundation of China
(No.81772549 and 81572334 to HMX, No.81602522 to JYH). The funders had no
role in study design, data collection and analysis, decision to publish, or preparation
of the manuscript.
CONFLICT OF INTEREST
The authors declare that they have no conflict of interest.
ETHICAL STANDARDS
All procedures performed were in accordance with the ethical standards of the
responsible committee on human experimentation (institutional and national) and with
the Helsinki Declaration of 1964 and later versions. Informed consent or an
appropriate substitute was obtained from all patients prior to inclusion in the study.
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Figures and figure legends:
Fig. 1PRISMA flowchart of the study selection process.
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Fig. 2 Network of eligible comparisons for network meta-analysis. The size of each
node corresponds to the number of eligible subjects and the line thickness reflects the
number of trials for each comparison. CT adjuvant chemotherapy, RT radiotherapy,
CRT chemoradiotherapy
Fig. 3 Results ofentire network meta-analysis for overall survival. (a) Pooled hazard
ratios and 95% credible intervals from network meta-analysis. (b) Probability of being
the best treatment. CT adjuvant chemotherapy, RT radiotherapy, CRT
chemoradiotherapy
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Fig. 4 Results of subgroup analysis for overall survival. Relative effects in combined
hazard ratios and 95% credible intervals in subgroup of D1 (a) and D2 (c)
lymphadenectomy. Probability of being the best treatment on overall survival in in
subgroup of D1 (b) and D2 (d) lymphadenectomy. CT adjuvant chemotherapy, RT
radiotherapy, CRT chemoradiotherapy
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Supplementary Fig. S1 Pair-wise meta-analysis for overall survival.
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Supplementary Fig. S2 Pair-wise meta-analysis for overall survival (continued).
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Supplementary Fig. S3 Risk of bias graph for all studies included.
Supplementary Fig. S4 Consistency between direct and indirect comparisons with
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node-split models.
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Table 1 Major Toxic effects (grade 3 and above)
Treatment strategy No. of trials
(patients)
Number of patients (%)
Nausea/vomiting Diarrhea Anemia Leukopenia Thrombocytopenia Stomatitis/Mucositis
Adjuvant CT 23 (3277) 12.8 6.2 5.9 17.8 4.5 6.0
Adjuvant CRT 5 (549) 9.7 1.6 1.6 30.0 1.9 1.5
Neoadjuvant CT 4 (422) 9.7 2.8 4.7 11.6 2.4 3.3
Neoadjuvant CRT 1 (60) N/A N/A N/A 11.7 5.0 N/A
Abbreviations: CT, chemotherapy; RT, radiotherapy; CRT, chemoradiotherapy; N/A, not available
Supplementary Table S1. Characteristics of the included studies
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Study Year Region Chemotherapy Radiotherapy Concurrent
Sequential
Lymph
node
resection
Intervention
Group Size
Control
Group Size
Median
follow–up
(Range), m
Adjuvant CT versus Surgery
Noh et al. [1] 2014 International Capecitabine, oxaliplatin N/A N/A D2 520 515 62.4
(54–70)
Sasako et al. [2] 2011 Japan S–1 N/A N/A D2 529 530 36
Chen et al. [3] 2011 China FAM group: fluorouracil,
doxorubicin, mitomycin;
FOLFOX group: oxaliplatin,
leucovorin, fluorouracil
N/A N/A D2 115 153 87
(25–216)
Kulig et al. [4] 2010 Poland Doxorubicin, cisplatin,
etoposide
N/A N/A D1–D3 141 154 37
(31–51)
Di Costanzo et al. [5] 2008 Italy Cisplatin, epirubicin,
leucovorin, fluorouracil
N/A N/A D1–D4 130 128 73
(46.8–81.6)
Nakajima et al. [6] 2007 Japan Uracil–tegafur N/A N/A D2 95 95 74.4
De Vita et al. [7] 2007 Italy Epirubicin, leucovorin,
fluorouracil, etoposide
N/A N/A D1 at least 112 113 60
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Nitti et al. (EORTC)
[8]
2006 Italy Methotrexate, fluorouracil,
leucovorin, adriamycin
N/A N/A D2 103 103 79.2
Nitti et al. (ICCG) [8] 2006 Italy Fluorouracil, methotrexate,
leucovorin, epirubicin
N/A N/A N/A 91 100 76.8
Bouche et al. [9] 2005 France Fluorouracil, cisplatin N/A N/A D0–D2 127 133 97.8
Chipponi et al. [10] 2004 France Leucovorin, fluorouracil,
cisplatin
N/A N/A D1, D2 101 104 101
(43–140)
Nashimoto et al. [11] 2003 Japan Mitomycin, fluorouracil,
cytarabine
N/A N/A D2 mostly 127 123 69
Bajetta et al. [12] 2002 Italy Etoposide, adriamycin,
cisplatin, leucovorin,
fluorouracil
N/A N/A D2 137 137 66
(2–83)
Neri et al. [13] 2001 Italy Epidoxorubicin, leucovorin,
fluorouracil
N/A N/A N/A 69 68 31
(7–60)
Cirera et al. [14] 1999 Spain Mitomycin, tegafur N/A N/A N/A 76 72 37
(3–122)
Nakajima et al. [15] 1999 Japan Mitomycin, fluorouracil, uracil N/A N/A N/A 288 285 72
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plus tegafur
Macdonald et al. [16] 1995 USA Fluorouracil, doxorubicin,
mitomycin
N/A N/A N/A 93 100 114
Lise et al. [17] 1995 International Fluorouracil, doxorubicin,
mitomycin
N/A N/A N/A 155 159 78
Chou et al. [18] 1994 Taiwan Ftorafur N/A N/A N/A 59 56 27
(8–57)
Grau et al. [19] 1993 Japan Mitomycin N/A N/A N/A 68 66 105
Krook et al. [20] 1991 USA Fluorouracil, doxorubicin N/A N/A N/A 61 64 84
Tsavaris et al. [21] 1996 Greece Fluorouracil, epirubicin,
mitomycin
N/A N/A N/A 42 42 60
Bonfanti et al. [22] 1988 Italy Semustine, fluorouracil N/A N/A N/A 75 69 81
Douglass et al. [23] 1982 USA Semustine, fluorouracil N/A N/A N/A 71 71 N/A
Engstrom et al. [24] 1985 International Fluorouracil, semustine N/A N/A N/A 91 89 64
Popiela et al. [25] 2004 Poland Fluorouracil, adriamycin,
mitomycin
N/A N/A D2 53 52 N/A
Huguier et al. [26] 1980 France Fluorouracil, vinblastine,
cyclophosphamide
N/A N/A N/A 27 26 60
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Coombes et al. [27] 1990 International Fluorouracil, adriamycin,
mitomycin
N/A N/A N/A 133 148 68
Nakajima et al. [28] 1984 Japan Mitomycin, fluorouracil,
cytosine arabinoside
N/A N/A N/A 149 74 N/A
Schlag et al. [29] 1982 Germany Fluorouracil, carmustine N/A N/A N/A 49 54 N/A
Hallissey et al. [30] 1994 UK Mitomycin, doxorubicin,
fluorouracil
N/A N/A N/A 138 145 60
Adjuvant CRT versus Surgery
Smalley et al. [31] 2012 USA Fluorouracil, leucovorin 45 Gy in 25 fractions
for 5 weeks
Concurrent D0–D2 282 277 123.6
Moertel et al. [32] 1984 USA Fluorouracil 37.5 Gy delivered over
4 to 5 weeks
Concurrent N/A 39 23 N/A
Dent et al. [33] 1979 South Africa Fluorouracil 20 Gy in 8 fractions
over 10 days
Concurrent N/A 35 31 N/A
Adjuvant RT versus Surgery
Hallissey et al. [30] 1994 UK N/A 45 Gy in 25 fractions
over 35 days
N/A N/A 153 145 60
Adjuvant CRT versus Adjuvant CT
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Park et al. [34] 2015 South Korea Capecitabine, cisplatin 45 Gy in 25 fractions
over 5 weeks
Concurrent D2 230 228 84
Zhu et al. [35] 2012 China Fluorouracil, leucovorin 45 Gy in 25 fractions
for 5 weeks
Concurrent D2 186 165 42.5
Kim et al. [36] 2012 South Korea Fluorouracil, leucovorin 45 Gy in 25 fractions
for 5 weeks
Concurrent D2 46 44 86.7
(60.3–116.5)
Yu et al. [37] 2012 China Fluorouracil, leucovorin 45 Gy in 25 fractions
for 5 weeks
Concurrent D1, D2 34 34 36
Kwon et al. [38] 2010 South Korea Fluorouracil, cisplatin 45 Gy in 25 fractions
over 5 weeks
Concurrent D2 31 30 77.2
(24–92.8)
Bamias et al. [39] 2010 Greece Docetaxel, cisplatin 45 Gy in 25 fractions
for 5 weeks
Sequential D0–D2 72 71 53.7
(1–77.8)
Neoadjuvant RT versus Surgery
Skoropad et al. [40] 2002 Russia N/A 20 Gy in 5 fractions
for 5 days
N/A N/A 51 51 N/A
Zhang et al. [41] 1998 China N/A 40 Gy in 20 fractions N/A N/A 153 158 128
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for 4 weeks (89–192)
Shchepotin et al. [42] 1994 Ukrain N/A 20 Gy in 4 fractions
for 4 days
N/A N/A 98 100 N/A
Neoadjuvant CRT versus Surgery
Walsh et al. [43] 2002 Ireland Fluorouracil, cisplatin 40 Gy in 15 fractions
over 2 weeks
Concurrent N/A 16 23 60
Neoadjuvant CRT versus Neoadjuvant CT
Stahl et al. [44] 2009 Germany Fluorouracil, leucovorin,
cisplatin
30 Gy in 15 fractions
for 3 weeks
Concurrent D2 60 59 46
Neoadjuvant CT versus Surgery
Ychou et al. [45] 2011 France Fluorouracil, cisplatin N/A N/A D2 113 111 25
Cunningham et al.
[46]
2006 UK Epirubicin, cisplatin,
fluorouracil
N/A N/A D1, D2 250 253 49
Schuhmacher et al.
[47]
2010 International Cisplatin, folinic acid,
fluorouracil
N/A N/A D2 mostly 72 72 52.8
Hartgrink et al. [48] 2004 Netherlands Methotrexate, leucovorin,
doxorubicin
N/A N/A D1 29 30 83
(51–102)
Wang et al. [49] 2000 China FPLC, fluorouracil N/A N/A N/A 30 30 60
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Zhao et al. [50] 2006 China Group 1: 5’–DFUR
Group 2: fluorouracil, calcium
folinate
N/A N/A N/A 34 20 N/A
Kelsen et al. [51] 2007 International Cisplatin, fluorouracil N/A N/A N/A 47 46 (93.6–156)
Neoadjuvant CT versus Adjuvant CT
Yonemura et al. [52] 1993 Japan Cisplatin, mitomycin,
etoposide, uracil
N/A N/A N/A 23 23 24
(6–42)
Nio et al. [53] 2004 Japan Uracil N/A N/A D0–D3 102 193 83
(37–140)
Sun et al. [54] 2011 China Docetaxel, fluorouracil,
leucovorin
N/A N/A N/A 29 26 N/A
Fazio et al. [55] 2015 International Docetaxel, cisplatin,
fluorouracil
N/A N/A D2 34 35 N/A
CT chemotherapy, RT radiotherapy, CRT chemoradiotherapy, N/A not available
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Supplementary Table S2. Main clinicopathologic characteristics of the enrolled patients in the included studies
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Study Mean age
(years)
Sex Tumor stage Nodal status UICC/AJCC
stage
Male Female T1 T2 T3 T4 N0 N1 N2 N3
Noh et al. [1] 56 731 304 11 564 456 4 103 621 311 0 IB-IV
Sasako et al. [2] 63 736 323 1 575 457 26 115 577 367 0 IB-IV
Chen et al. [3] 56 183 85 0 80 198 0 198 80 0 0 IIA
Kulig et al. [4] 61 211 84 6 67 140 82 91 80 85 39 IB-IV
Di Costanzo et al. [5] 59 157 101 NA NA 124 14 42 213 I-IV
Nakajima et al. [6] 63 143 45 0 188 0 0 0 141 47 0 II
De Vita et al. [7] 63 131 94 8 37 142 38 62 77 86 0 IB-IIIB
Nitti et al. (EORTC) [8] 56 127 79 17 68 114 7 39 83 84 0 IB-IIIB
Nitti et al. (ICCG) [8] 54 125 66 6 61 107 17 34 82 75 0 IB-IV
Bouche et al. [9] 61 186 74 59 288 10 43 138 48 21 II-IV
Chipponi et al. [10] 61 129 67 NA NA NA NA 33 163 NA
Nashimoto et al. [11] 58 169 81 74 155 21 0 139 80 31 NA I-III
Bajetta et al. [12] 57 174 97 128 143 27 244 I-III
Neri et al. [13] 69 98 39 3 15 64 65 0 65 72 0 NA
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Cirera et al. [14] 61 94 54 3 11 39 95 20 57 71 0 III
Nakajima et al. [15] NA 363 210 188 323 62 0 237 286 46 4 NA
Macdonald et al. [16] 59 123 70 NA NA NA NA NA NA NA NA I-III
Lise et al. [17] NA 202 112 12 126 144 29 NA NA NA NA II-III
Chou et al. [18] NA 67 48 NA NA NA NA NA NA NA NA II-III
Grau et al. [19] 56 88 46 4 21 109 0 51 54 29 0 NA
Krook et al. [20] 63 98 27 NA NA NA NA NA NA NA NA NA
Tsavaris et al. [21] 53 57 27 NA NA NA NA NA NA NA NA III
Bonfanti et al. [22] NA 138 75 40 70 103 89 124 NA
Douglass et al. [23] NA 100 42 NA NA NA NA 54 88 NA
Engstrom et al. [24] NA 120 60 NA NA NA NA NA NA NA NA NA
Popiela et al. [25] 58 74 31 0 80 25 0 62 43 0 III-IV
Huguier et al. [26] 60 38 15 NA NA NA NA NA NA NA NA NA
Coombes et al. [27] NA NA NA 13 97 124 45 89 119 62 8 II-III
Nakajima et al. [28] NA 141 82 NA NA NA NA 91 108 86 15 I-IV
Schlag et al. [29] 59 63 40 NA NA NA NA NA NA NA NA II-III
Hallissey et al. [30] 64 303 133 NA NA NA NA NA NA NA NA II-III
Smalley et al. [31] 60 397 159 172 342 42 83 231 242 0 IB-IV
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Page 46
Moertel et al. [32] 58 46 16 NA NA NA NA NA NA NA NA NA
Dent et al. [33] NA NA NA 4 8 46 0 22 9 27 0 NA
Park et al. [34] 56 296 162 NA NA NA NA 62 253 101 42 IB-IV
Zhu et al. [35] 56 261 90 0 0 351 50 104 123 74 IB-IV
Kim et al. [36] NA 59 31 0 33 51 6 2 25 43 20 III-IV
Yu et al. [37] 56 43 25 0 7 42 19 0 40 28 0 II-III
Kwon et al. [38] 56 44 17 NA NA NA NA NA NA NA NA III-IV
Bamias et al. [39] NA 100 43 4 26 107 6 17 74 40 11 IB-IV
Skoropad et al. [40] 55 74 28 11 27 58 6 48 37 15 2 I-IV
Zhang et al. [41] 56 NA NA NA NA NA NA NA NA NA NA I-IV
Shchepotin et al. [42] 55 NA NA 0 6 127 65 71 121 0 NA
Walsh et al. [43] NA NA NA NA NA NA NA NA NA NA NA NA
Stahl et al. [44] 60 108 11 0 0 109 10 NA NA NA NA NA
Ychou et al. [45] 63 187 37 NA NA NA NA NA NA NA NA NA
Cunningham et al. [46] 62 396 107 NA NA NA NA NA NA NA NA NA
Schuhmacher et al. [47] 57 100 44 0 0 135 9 10 92 11 2 III-IV
Hartgrink et al. [48] 60 NA NA NA NA NA NA NA NA NA NA II-III
Wang et al. [49] 54 50 10 NA NA NA NA NA NA NA NA NA
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Zhao et al. [50] NA NA NA NA NA NA NA NA NA NA NA NA
Kelsen et al. [51] 62 NA NA NA NA NA NA NA NA NA NA NA
Yonemura et al. [52] 64 41 14 NA NA NA NA NA NA NA NA IV
Nio et al. [53] 64 211 84 NA NA NA NA NA NA NA NA I-IV
Sun et al. [54] 52 37 18 NA NA NA NA NA NA NA NA NA
Fazio et al. [55] 57 47 22 NA NA NA NA NA NA NA NA IB-IV
NA, not available
47 / 48