The benefit of adjuvant therapy (AT) for gallbladder cancer (GBC) is unclear as evidenced by conflicting results from nonrandomized studies. Here we aimed to perform a meta-analysis to determine the impact of AT on overall survival (OS).
Methods
We used data from MEDLINE, EMBASE and the Cochrane Collaboration Library and published between October 1967 and October 2014. Studies that evaluated AT compared with curative-intent surgery alone for resected GBC were included. Subgroup analyses of benefit based on node status, margins status, and American Joint Committee on Cancer (AJCC) staging were prespecified. Data were weighted and pooled using random-effect modeling.
Results
Ten retrospective studies involving 3,191 patients were analyzed. There was a nonsignificant improvement in OS with AT compared with surgery alone (hazard ratio [HR], 0.76; 95 % confidence interval [CI], 0.56–1.03). A significant improvement was observed in OS with chemotherapy (CT) compared with surgery alone (HR, 0.42; 95 % CI, 0.22–0.80) by sensitivity analysis. The greatest benefit for AT was also observed in those with R1 disease (HR, 0.33; 95 % CI, 0.19–0.59), LN-positive disease (HR, 0.71; 95 % CI, 0.63–0.81), and AJCC staging meeting or exceeding tumor Stage II (HR, 0.45; 95 % CI, 0.26–0.79), but not in those with LN-negative or R0 disease.
Conclusion
Our results strongly support the use of CT as an AT in GBC. Moreover, patients with node positivity, margin positivity, or non-stage I disease are more likely to benefit from AT.
Hinweise
Hui Cheng and Baodong Qin are Co-of first author.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
NM, BW, RZ conceived of and designed the experiments. NM, HC, and BQ analyzed the data. NM and BW wrote the paper. All authors read and approved the final manuscript.
Background
Gallbladder cancer (GBC) is an uncommon but the most aggressive biliary tree cancer (BTC). To date, complete surgical resection offers the only chance for cure. Worldwide, GBC is the sixth most common gastrointestinal cancer with an annual incidence rate of 2.2 per 100,000 [1, 2]. In the United States, GBC accounts for approximately 9,760 new cases and 3,370 new deaths per year [3]. However, only 10 % of patients who present with early-stage GBC are considered surgical candidates.
A recent study by Valle J et al. showed that longer overall survival (OS) with gemcitabine in combination with cisplatin than with gemcitabine alone in patients with advanced or metastatic BTC [4]. However, established adjuvant treatments (AT) for GBC are lacking and much debate remains about whether AT affects survival in GBC. Regarding AT for GBC, only one phase III multicenter prospective randomized controlled trial (RCT) indicated that patients with gallbladder carcinoma who undergo R1 but not R0 resections may derive some benefit from systemic chemotherapy [5]. However, other trials that had examined the values of AT, including chemotherapy (CT), radiotherapy (RT), and chemoradiotherapy (CRT), were limited by their small numbers of patients in their retrospective and non-randomized study design.
Anzeige
There are currently no meta-analyses of AT for GBC on the basis of retrospective data. As such, the aim of this study was to conduct a meta-analysis to identify whether AT, i.e., RT, CT, or CRT, could improve OS compared with surgery alone for the entire group or subgroups (node status, margins status, American Joint Committee on Cancer [AJCC] staging, and countries vary) of GBC on the basis of those retrospective data.
Methods
Data collection
An electronic search of the MEDLINE, EMBASE and the Cochrane Collaboration Library were performed using Internet explorer 10. Searches were limited to human studies and English-language publications. The main keywords used for the search were “gallbladder cancer” and “adjuvant therapy”. The published years were limited to 1976–2014. A MeSH term search was performed in MEDLINE. Citation lists of retrieved articles were manually screened to ensure search sensitivity. We downloaded the available studies from those databases or contacted with authors if needed.
Study selection
The relevant clinical trials were manually selected carefully based on the following criteria: (1) case–control design of non-randomized study; (2) patients diagnosed with GBC according to histopathological or cytological evidence; (3) patients underwent AT defined as CT, RT, or both administered after curative-intent surgery, and patients who underwent curative-intent surgery alone as a comparator group should be included in those studies; (4) information collected including hazard ratio (HR) for OS along with 95 % confidence interval (CI) or relevant data. When searched references referred to the same studies, the more recently published and larger studies were included. We also defined curative-intent resections as no gross disease remaining (i.e., negative margins [R0] or microscopic positive margins [R1]), thus excluding macroscopic involvement (R2) resections [6]. The procedure of inclusion and exclusion criteria of the evaluated studies was listed in Fig. 1.
Fig. 1
Flow chart showing the progress of trials through the review
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Data extraction
Three investigators (Ning Ma,Hui Cheng and Baodong Qin) searched the publications independently using standardized data abstraction forms. When the three investigators discovered different results, an independent expert in oncology made the final decision. Details such as first author, year of publication, patient characteristics, institution, country of study, and patient number must be included in these publications. T stage, AJCC stage, and nodal and resection margin statuses were collected. Details on therapeutic interventions, including surgical procedure, CT regimen, radiation type and dosage, and treatment schedule were also collected.
Anzeige
The details of response rate, median/overall survival, HR for OS (HROS) and their 95 % CI, and adverse events must be collected as outcomes from these studies. If HR and 95 % CI were not given, we estimated them as described below depending on the data provided in the publication. The estimated HR and its standard error was obtained from the report results or calculated using two of the following parameters: the O - E statistic (difference between numbers of observed and expected events), the CI for the HR, and the log-rank statistic or its P value. If these were not available, the total numbers of events, number of patients at risk in each group, and log rank statistic or its P value were used to allow for an approximation of the HR estimate [7‐9]. In addition, Kaplan-Meier curve was used to calculate HR and its standard error to verify those results calculated above. First of all, we divided Kaplan-Meier plot schematically into time intervals to obtain the data of survival rates of event-free on research and control groups. The data of HR, V and O-E then could be obtained according to the method provided by Tierney JF et al. [10]. The estimated HR and its standard error could be obtained according the method mentioned above, and be verified with the data obtained above. If this kind of method was used, three independent persons read the curves to reduce the inaccuracy in the extracted survival rates.
Statistical analysis
The relative frequencies of survival between AT and curative-intent surgery alone were expressed as HR and their 95 % CI. Statistical heterogeneity was tested and a random effect model was applied at last in calculating the overall HR. The pooled HR for OS was calculated then. As for key components of design, rather than quality scores themselves, may be more important [11], subgroup and sensitivity analyses were was designed in our meta-analysis to identify whether AT could improve OS compared with surgery alone.
Subgroup analyses were conducted that included node-positive/negative, margin-positive (R1)/negative (R0) disease, and treatment consisting of CT, RT, or CRT. Few studies were conducted solely in these populations. Thus, studies in which ≥50 % of the patients had nodal -positive/negative, R0/R1 disease on pathology and ≥50 % of the patients meeting or exceeding tumor stage II were calculated as the subgroup analysis. All of the analyses were performed using STATA 11.0. This meta-analysis of the observational studies was written according to the MOOSE group [11].
Results
Study characteristics
A total of 243 studies met the initial search criteria, and we identified 11 studies including one RCT [5] and 10 retrospective studies [12‐21]. Those 10 retrospective studies were identified as eligible for inclusion in the pooled analysis (Fig. 1). These studies incorporated 3,191 patients in which 2,375 were treated with surgery alone (Lap choly only, Conversion open choly, Radial second resection, Primary open choly, or Hemihepatectomy) and 816 received AT. The details of HR for OS (HROS) and their 95 % CI were obtained from these studies. The types of AT,type and duration of chemo, radiation dosing, and other clinical data of those studies were collected and listed in Table 1.
FU + RT (median dosage 50.4 Gy (range, 19.75–54.0) in 28 fractions and concurrent 5-FU given as an interrupted bolus of 500 mg/m2 for 3 successive days during Week 1 of RT and repeated during Week 5)
(I0RT(21 ± 0.5Gy, ranging from 15–30 Gy) + P0RT(40 ± 1.9 Gy, ranging from 24.8-54Gy, using a fraction size 1. 8–2.0 Gy))
OS
100 %
100 %
NR
NR
NR
NR
NR
NR
NR
NR
Abbreviations: OS overall survival, CT chemotherapy, RT radiation, CRT chemoradiotherapy, NSR non-single regimen (perhaps including CT, RT, and CRT), EBRT external beam radiation therapy, FU fluorouracil, MMC mitomycin C, NR detail not reported, FU 5-fluorouracil, IORT intraoperative radiotherapy, EBRT external beam radiotherapy, GEM gemcitabine, Cape capecitabine, Cisp cisplatin, Mit mitomycin-C, Dox doxorubicinol, ADR Adriamycin, CF leucovorin, SEER Surveillance, Epidemiology, and End Results, NA not applicable, PTS patients
Meta-analysis
In calculating the overall HR, statistical heterogeneity was tested before and the value of p is 0.000. Random effect model was applied then and as a result, pooled data showed a nonsignificant improvement in OS with any AT compared with surgery alone (HR, 0.76; 95 % CI, 0.56–1.03; Fig. 2a) in the overall population.
Fig. 2
Efficacy outcomes for overall population and sensitivity analysis. a. Overall population. b. Sensitivity analysis for overall survival
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Subgroup analysis showed a significant improvement in survival with CT compared with surgery alone (HR, 0.42; 95 % CI, 0.22–0.80) but not statistically significant compared to CRT (HR, 0.65; 95 % CI, 0.36–1.16) or RT (HR, 0.64; 95 % CI, 0.26–1.59; Fig. 2b).
Heterogeneity and sensitivity analyses
Margin status
Two studies [19, 21] reporting margin positivity (R1) (n = 105) according to our prespecified definition (≥50 %) were analyzed independently [6]. Pooled data confirmed a significant benefit for AT in margin-positive patients (HR, 0.33; 95 % CI, 0.19–0.59; Fig. 3a).
Fig. 3
Efficacy outcomes for margin status and node status. a. R0/R1 for OS. b. Node −/+ for OS. c. Stages II and III
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Three studies reporting margin negative (R0) (n = 414) according to our prespecified definition (≥50 %) were also analyzed independently [12, 14, 15]. We found that patients with GBC and R0 resection could not benefit from AT compared with surgery alone (HROS, 1.29; 95 % CI, 0.91–1.84; Fig. 3a).
Node status
Three studies reporting nodal positive (n = 404) or negative (n = 1350) according to our prespecified definition (≥50 %) were analyzed independently [12, 17, 19]. Pooled data showed a significant benefit for any AT in node-positive disease (HR, 0.71; 95 % CI, 0.63–0.81; Fig. 3b) but no statistically significant benefit in node-negative disease (HR, 0.96; 95 % CI, 0.59–1.56; Fig. 3b).
AJCC staging
As mentioned above, all 11 studies were published between 1999 and 2012. The 6th AJCC staging was adopted by most of these studies (AJCC Cancer Staging Manual, 2002) [22], so clinical disease staging was adopted according to the AJCC staging system (6th edition) to avoid stage migration.
AT were less adopted on GBC of Tumor, Node, Metastasis staging T1 N0M0/T2N0M0. As a result, the AJCC staging of most of patients in these 11 studies met or exceeded T2N1M0 or T3N0M0, which is stage II in the 6th AJCC staging system. Among these 11 studies, seven meeting or exceeding tumor stage II (n = 2,738) according to our prespecified definition (≥50 %) were analyzed independently [13, 15, 17‐19, 21]. Pooled data confirmed a significant benefit for any AT in those patients (HR, 0.45; 95 % CI, 0.26–0.79; Fig. 4a). Subgroup analysis showed a significant improvement in survival with CT compared with surgery alone (HR, 0.21; 95 % CI, 0.05–0.88) but not with RT (HR, 0.48; 95 % CI, 0.17–1.40; Fig. 4a).
Fig. 4
Efficacy outcomes for difference of country and cumulative meta-analysis over time. a. Different countries. b. Asian/non-Asian countries
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To further substantiate our findings, the studies with 100 % of the patients meeting or exceeding tumor stage II were analyzed independently. Two studies complied with this (n = 126) [13, 21]. As a result, the pooled data confirmed a significant benefit for any AT in these patients (HR, 0.28; 95 % CI, 0.14–0.56; figure not shown).
Results vary among countries
We also analyzed the pooled HR with CI by country. Our meta-analysis showed a significant improvement in OS with AT among Asian countries (HR, 0.49; 95 % CI, 0.25–0.96, Fig. 4a, b) but not among non-Asian countries (HR, 1.11; 95 % CI, 0.71–1.72, Fig. 4a, b).
Evaluation of publication bias
Begg’s funnel plot and Egger’s test were performed to assess the publication bias of the literature. Evaluation of publication bias for AT versus surgery alone showed that both Begg’s and Egger’s test findings were not significant (p = 0.788 and 0.284) (Fig. 5). The meta-analysis was not dominated by any individual study, while removing any study at a time made no difference (data not shown). These results indicated no evidence of publication bias in our meta-analysis.
Fig. 5
Begg’s funnel plot
×
Discussion
GBC is an uncommon cancer but the most aggressive BTC. Because of the lack of randomized data, there are no established post-resection AT for GBC [23, 24]. The aim of our study was to perform a meta-analysis to identify whether AT could improve OS.
Anzeige
It is well known that meta-analysis is mainly based on RCT. If there were insufficient RCT, a systemic assessment of non-RCT is needed. According to the Cochrane systematic review (http://www.cochrane.org/), non-RCT or retrospective studies may play a complementary role under these circumstances [11].
The meta-analysis by Horgan et al. recently published in Journal of Clinical Oncology reported a nonsignificant improvement in OS with AT compared with surgery alone for BTC and the GBC subgroup [6, 25]. In that study, odds ratio (OR) was chosen as the effect label instead of HR. What is more, only four studies including one RCT and three non-RCT were eligible for inclusion in that pooled analysis and their results were based on the study of RCT combined with retrospective and non-randomized studies. Just as the authors stated, OR is a less robust measure of survival because it does not consider survival duration prior to death. Contrary to their study, our meta-analysis was on the basis of retrospective data and HR instead of OR.
As such, we performed this meta-analysis of our 10 collected studies (involving 3,191 patients in 10 retrospective studies) to identify whether AT could improve OS compared with surgery alone using HR as the effect label following the methodology described by Parmar et al. [7, 9]. Before this, we excluded the studies that did not provide case–control design, adjuvant therapy, sufficient detail, or appropriate comparators. The studies of single case reports, RCT, and review were also excluded which mentioned above (Fig. 1). Our pooled analysis demonstrated a nonsignificant benefit in OS in unselected patients. Our subgroup analysis showed a significant improvement in survival with CT (HR, 0.42; 95 % CI, 0.22–0.80) compared with surgery alone but a nonsignificant improvement in survival with RT and CRT. However, this does not mean that RT and CRT could not play a positive role since their HR were 0.64 and 0.65, respectively (Fig. 2b).
Similarly with CT in OS, the sensitivity analyses indicated that post-resection AT seems beneficial in subgroups of high-risk patients, such as those with node and margin positivity, but not in patients with node negative or R0 disease (Fig. 3a, b). Sensitivity analyses also indicated the significant benefit of AT, especially CT, in patients with non-stage I disease (Fig. 3c).
Anzeige
We also conducted our meta-analysis based on nationality. Interestingly, our results showed a significant improvement in survival with AT in Asian countries but not in non-Asian countries (Fig. 5a, b). What could account for the difference? Could differences in race be a factor? These questions are worthy of future RCT.
The only available RCT showed that the use of adjuvant RT is associated with improved survival in patients with LN-positive (P < 0.0001) or stage IIa (T3N0M0) (P = 0.011) but not in patients with stage I disease [5]. Just as this study and Horgan [6] showed, our overall analysis also supports the use of AT for patients with LN-positive, R1, or AJCC stage > II GBC. It is known that there is a lack of randomized GBC data, so we performed this meta-analysis of observational studies without RCT according to the MOOSE group.
Our study has some limitations. In our Meta analysis, the quality of the studies included was various and the observational studies we included had much heterogeneity. Selection bias could distort the relationship between adjuvant therapy and overall survival. Therefore, we used random-effects modeling, made OS as the only end point and used sensitivity analyses (RT, CT, CRT, node status, margins status, AJCC stage, and multiple country analysis) to address this. As mentioned above, we calculated HR and 95 % CI using two of the following parameters: the O - E statistic, the CI for the HR, and the log-rank statistic or its P value. As we know, this kind of estimated value not the true value. To ensure the accuracy of the results, three investigators (Ning Ma,Hui Cheng and Baodong Qin) calculated HR and 95 % CI independently. Furthermore, Kaplan-Meier curve was also used if possible to calculate HR and 95 % CI to verify these results.
In addition,on the one hand, as most of the included studies were small sample case–control studies, the possibility of a type II error exists. On the other hand, the results of the non-RCT may be overstated. Begg’s funnel plot and Egger’s test were performed to assess the publication bias of the literature. As a result, these results indicated no evidence of publication bias in our meta-analysis.
Anzeige
Conclusion
Our analysis provides reasonable support for the use of CT as an AT in patients with GBC. Moreover, patients with node positivity, margin positivity, or non-stage I disease are more likely to benefit from AT. We believe that the results of our meta-analysis will contribute to the use of CT as an AT in patients with GBC, especially those with the high risk factors described above. However our meta-analysis is based on the observational studies and not randomized controlled trial (RCT). Further research especially RCT is needed to better characterize the benefit of adjuvant therapy for gallbladder cancer.
Acknowledgements
This work was supported in part by a grant from the National Natural Science Foundation of China (NSFC No. 81472479) to Bin Wang.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), 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 (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
NM, BW, RZ conceived of and designed the experiments. NM, HC, and BQ analyzed the data. NM and BW wrote the paper. All authors read and approved the final manuscript.
