Literature DB >> 35116595

Efficacy and toxicity in scheduled intravesical gemcitabine versus Bacille Calmette-Guérin for Ta and T1 bladder cancer: a systematic review and meta-analysis.

Jun-Lin Lu1, Qi-Dong Xia1, Chen-Qian Liu1, Jian-Xuan Sun1, Yuan-Yuan Yang1, Heng-Long Hu1, Shao-Gang Wang1.   

Abstract

BACKGROUND: We conducted a meta-analysis to compare the efficacy and toxicity of scheduled intravesical gemcitabine (GEM) and Bacille Calmette-Guérin (BCG) for Ta and T1 non-muscle invasive bladder cancer (NMIBC).
METHODS: The database search was performed in Ovid Medline, Embase, Web of Science, Cochrane Library from the commencement of the database to July 7, 2020. Trials using immediate instillation were excluded and we present the included studies in accordance with the PRISMA 2020 reporting checklist. The data extracted was analyzed using Stata 11.0 software.
RESULTS: Six studies of 466 patients comparing GEM and BCG were finally included. No significant difference was detected between GEM and BCG group in recurrence free survival [hazard ratio (HR) =0.80, 95% confidence interval (95% CI), 0.46-1.37, P=0.410], progression free survival (HR =0.82, 95% CI, 0.38-1.77, P=0.621), and total adverse events [odds ratio (OR) =0.70, 95% CI, 0.38-1.29, P=0.253). However, patients receiving GEM treatment are less likely to develop urinary adverse events, such as dysuria (OR =0.50, 95% CI, 0.29-0.87) and hematuria (OR =0.40, 95% CI, 0.18-0.91). We performed subgroup analysis and found that the effects of GEM and BCG were similar even on patients with high recurrence risk tumor. Sensitivity analysis showed the robustness of the results. DISCUSSION: Scheduled intravesical GEM instillation has a similar effect with BCG instillation in preventing NMIBC recurrence and progression, but GEM therapy causes a lower incidence of dysuria and hematuria than BCG. GEM may be an alternative therapy for BCG. However, the results should be treated with caution due to the low to moderate quality of the included studies. 2021 Translational Cancer Research. All rights reserved.

Entities:  

Keywords:  Bacille Calmette-Guérin (BCG); Gemcitabine; meta-analysis; non-muscle invasive bladder cancer (NMIBC); tumor recurrence

Year:  2021        PMID: 35116595      PMCID: PMC8797991          DOI: 10.21037/tcr-21-291

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


Introduction

Intravesical Bacille Calmette-Guérin (BCG) instillation after transurethral resection of bladder tumor (TURBT) has been the standard treatment of intermediate- and high-risk non-muscle invasive bladder cancer (NMIBC) in the last decade (1). However, 35.2–40.4% of patients will relapse in the short term after BCG instillation (2,3). The patients who progress to muscle invasive bladder cancers (MIBCs), accounting for one-third of NMIBC patients receiving BCG treatment, have a much poor prognosis and quality of life (3-5). The high incidence of local and systemic complications of BCG instillation negatively impacts patient’s compliance and leads to a high proportion of withdrawal (6,7). After two manufacturers announced the halt or severe reduction of BCG production, BCG strain is under a worldwide shortage (8). The development of alternative treatment with better efficacy and tolerance is imperative. Gemcitabine (GEM) is an antimetabolite pyrimidine analog with a broad spectrum of antitumor activity. Recent researches investigated its preventive effect on tumor recurrence and progression in NMIBC compared with BCG, but indicating opposite outcomes. A randomized controlled trial (RCT) recruited high risk superficial bladder cancer and found that the recurrence rate was 28.1% for the BCG group and 53.1% for the GEM group (9). Conversely, another phase 2 RCT revealed that intravesical GEM could significantly improve recurrence-free survival (RFS) than BCG in BCG failure patients with high-risk NMIBC (10). A systematic review with qualitative synthesis is required to clarify whether GEM can be an alternative drug for BCG. A previous meta-analysis included four RCTs and one case-control study, identifying similar efficacy when compared GEM to BCG (11). The study synthesized evidence using risk ratio instead of hazard ratio (HR), which might ignore time effect for RFS and progression-free survival (PFS). Furthermore, a multicenter RCT meeting the selection criteria was not included in this study (10). Therefore, the present work aims to evaluate the efficacy and toxicity of scheduled GEM and BCG in patients with NMIBC using extracted HR. We present the following article in accordance with the PRISMA reporting checklist (12) (available at https://dx.doi.org/10.21037/tcr-21-291).

Methods

Data sources and search strategy

The literature search was conducted by two reviewers (JL Lu and QD Xia). We retrieved four electronic databases (Ovid Medline, Embase, Web of Science, Cochrane Library) from the commencement of the database to July 7, 2020, without language restrictions. Grey literature was searched in the American Society of Clinical Oncology (ASCO) conference abstract, the European Society of Medical Oncology (ESMO) conference abstract, and the National Institute of Health (NIH) website (www.clinicaltrials.gov). The search terms were used in the following strategy: (bladder tumor OR bladder cancer OR urinary bladder neoplasm OR bladder neoplasm OR bladder carcinoma OR urothelium carcinoma OR urothelium tumor) AND (((((non or not) AND (invas* OR invad* OR infiltrat*)) OR noninvas* OR noninvad* OR noninfiltrat*) AND muscle*) OR (cis OR Tis OR Ta OR T1a OR T1b OR superficial)) AND (Bacillus Calmette Guerin OR BCG OR gemcitabine OR GEM). Disagreement during study selection was resolved by consensus with a supervisor (SG Wang).

Inclusion and exclusion criteria

Both prospective study and retrospective study were eligible. The inclusion criteria were as follows: (I) participants were diagnosed as Ta or T1 with/without carcinoma in situ NMIBC; (II) intravesical GEM and BCG treatments after TURBT were compared; (III) HRs were available for RFS or PFS. The exclusion criteria were as follows: (I) immediate instillation of GEM; (II) sequential or alternate instillation of intravesical drug; (III) single arm trial. If one research was reported in more than one publication, the most recent study was included.

Data extraction

Two authors (JL Lu and QD Xia) independently extracted data using a predefined form. The primary outcomes of interest were RFS or PFS after instillation of GEM and BCG. Secondary outcomes were overall survival (OS) or the number of deaths, quality of life, and the number of adverse events. Study characteristics (study design, publication year, country of origin, study period, and the number of patients), patient characteristics (sex and age), tumor characteristics (stage, grade, risk of recurrence, history of treatment, and primary/recurrence), intervention (dosage, schedule, and manufacturer), and outcomes were extracted. HRs for RFS and PFS were calculated under the guidance of previous studies (13,14).

Quality assessment

The quality of RCT was evaluated based on the Cochrane tool for risk of bias assessment (RoB2) (15). The revised RoB2 tool included five domains: the randomization process, deviations from intended interventions, missing outcome data, measurement of the outcome, and selection of the reported result. Non-randomized prospective studies were ranked by the Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I) (16). The quality of the case-control study was assessed using the Newcastle–Ottawa Scale criteria (NOS), which includes three main domains: the selection of patients, comparability between groups, and measurement of exposure (17). Disagreements were resolved by discussion with a third author (SG Wang).

Statistical analysis

The meta-analysis was conducted using Stata 11.0 software. The pooled effect sizes under the random-effect model for RFS and PFS were obtained as HR with 95% confidence interval (CI) of each study, whereas we used odds ratio (OR) with 95% CI to estimate the risk of adverse events in patients treated with GEM and BCG. The methodological and clinical heterogeneity were assessed by Cochrane Q statistic and I2 statistic. The heterogeneity was considered significant when P<0.05 and I2>50%. Moreover, subgroup analyses were performed in reference to study design, study origin, study center, schedule of therapy, and risk of tumor recurrence. We conducted a sensitivity analysis by omitting the study one by one to assess the robustness of the results.

Results

Study characteristics

From 8,639 publications, six studies with 466 patients are finally included () (9,10,18-21). The characteristics of the included studies are summarized in . Four studies are RCT with moderate to high risk of bias. One study is a non-randomized prospective study of serious risk of bias. One study is a case-control study of high quality. The details of quality assessment can be obtained in supplementary file.
Figure 1

Study selection flowchart.

Table 1

Characteristics of the included study

StudyCountryNo. of patientsMaleAge (years), Gem/BCGTumor characteristicsGEMBCGOutcomesFollow-up
DosageNo. of instillationsDosageNo. of instillations
Gacci et al. 2006 (18)Italy1978.95%74/73.6Recurrent, BCG refractory, pT1G32,000 mg/50 mL215×108 cfu/50 mL (OncoTICE)11RFS; PFS; AEGem: 18.4M; BCG: 19.9M
Di Lorenzo et al. 2010 (10)Italy8061.25%69.3/71.4BCG failure, high risk2,000 mg/50 mL1581 mg/50 mL (Connaught)18RFS; PR; AE19M
Porena et al. 2010 (9)Italy6484.38%70.2/68.7High risk2,000 mg/50 mL135×108 cfu/50 mL (Organon)13RFS; AE44M
Bendary et al. 2011 (19)Egypt80NA56.2±11.18Primary Ta-T12,000 mg/50 mL66×108 cfu/50 mL6RFS; AE10.8±2.7M
Gontero et al. 2013 (20)Italy12085.8%67.4/67.5Intermediate risk2,000 mg/50 mL1827 mg/50 mL (Immucyst)15RFS; PFS; AE12M
Prasanna et al. 2017 (21)Australia10383.5%78/77Unspecified risk2,000 mg/50 mL6(low risk); 6+X (median or high risk)5×108 cfu/50 mL (OncoTICE)6 (low risk); 6+X (median or high risk)RFS; PFS; AE15M

GEM, gemcitabine; BCG, Bacille Calmette-Guérin; CFU, colony forming unit; DFS, disease-free survival; PR, progression rate; rr, recurrence rate; AE, adverse event.

Study selection flowchart. GEM, gemcitabine; BCG, Bacille Calmette-Guérin; CFU, colony forming unit; DFS, disease-free survival; PR, progression rate; rr, recurrence rate; AE, adverse event.

RFS and PFS

All six-studies report recurrence free survival for GEM and BCG (). The efficacy in preventing tumor recurrence is comparable between GEM and BCG [HR, 0.80 (95% CI, 0.46–1.37), P for effect size, 0.410], showing a high level of heterogeneity (Cochrane Q =17.25, P for heterogeneity =0.004; I2=71.0%). Four studies report progression free survival (). The pooled effect also demonstrates a comparative efficacy in progression prophylaxis [GEM vs. BCG: HR, 0.82 (95% CI, 0.38–1.77), P for effect size, 0.621] with a low level of heterogeneity (Cochrane Q =3.50, P for heterogeneity =0.321; I2=14.3%).
Figure 2

Forest plot for recurrence free survival and progression free survival.

Forest plot for recurrence free survival and progression free survival.

Adverse events

The adverse events during GEM or BCG instillation are dysuria, hematuria, fever, neutropenia-thrombocytopenia, dermatitis, nausea-vomiting, urinary frequency, bladder spasms, urge incontinence, itching, skin rash, cystitis, urosepsis, suprapubic discomfort, and systemic BCG infection. The qualitative synthesis is performed when at least two studies report the same outcome (). The meta-analysis shows that the proportion of patients who develop adverse events is comparable between GEM and BCG group [OR, 0.70 (95% CI, 0.38–1.29), P for effect size, 0.253] with a high level of heterogeneity (Cochrane Q =6.50, P for heterogeneity =0.090; I2=53.8%). However, patients receiving GEM are less likely to develop dysuria [OR, 0.50 (95% CI, 0.29–0.87), P for effect size, 0.014] or hematuria [OR, 0.40 (95% CI, 0.18–0.91), P for effect size, 0.028]. Fever events are similar between the two groups [OR, 0.46 (95% CI, 0.16–1.34), P for effect size, 0.156].
Figure 3

Forest plot for adverse events.

Forest plot for adverse events.

Subgroup analysis and sensitivity analysis

Subgroup analysis in reference to RFS is conducted to examine the sources of heterogeneity (). Subgroups include study, intervention, and tumor characteristics, such as study design, study origin, study center, schedule, and risk of recurrence. However, the level of heterogeneity for the subgroup is similar to that for the total effect, indicating that the heterogeneity is not originated from these study features. shows the results of sensitivity analysis for both RFS and PFS. All the pooled effect sizes after omitting study are in the 95% CI range of overall effect size, reflecting the robustness of the results.
Table 2

Subgroup analysis for recurrence free survival (GEM vs. BCG)

SubgroupNo. of studyHazard ratio95% CIHeterogeneity QPhI2
Study design
   RCT40.95[0.46, 1.98]14.980.00280.0%
   Non-randomized prospective study10.62[0.22, 1.76]
   CCS10.47[0.23, 0.97]
Study origin
   Europe40.90[0.41, 1.97]15.300.00280.4%
   Africa10.83[0.36, 1.92]
   Oceania10.47[0.23, 0.97]
Study center
   Multiple30.62[0.32, 1.21]7.060.02971.7%
   Single21.21[0.37, 3.96]3.570.05972.0%
Schedule
   Maintenance40.90[0.41, 1.97]15.300.00280.4%
   Induction10.83[0.36, 1.92]
Risk of recurrence
   High risk30.81[0.28, 2.39]13.320.00185.0%
   Intermediate risk11.22[0.64, 2.31]
   Unspecified risk20.60[0.35, 1.04]1.010.3141.30%

RCT, randomized controlled trial; CCS, case-control study; Ph, P for heterogeneity.

Figure 4

Sensitivity analysis for (A) recurrence free survival and (B) progression free survival.

RCT, randomized controlled trial; CCS, case-control study; Ph, P for heterogeneity. Sensitivity analysis for (A) recurrence free survival and (B) progression free survival.

Discussion

In this study, we carried out a systematic review and meta-analysis to evaluate the efficacy and toxicity of GEM and BCG in patients with NMIBC. The results demonstrated that GEM and BCG had similar effects in preventing tumor recurrence and progression. In a subgroup of patients with high risk of recurrence, the result did not display an advantage in any of the drugs. However, compared with BCG, patients treated with GEM were less likely to develop dysuria and hematuria. Although the number of adverse events was equal between the two drugs, patients treated with BCG seemed to be more likely to have multiple adverse events at the same time. These results showed that GEM had a favorable efficacy and less toxicity, revealing that it could be used as an alternative to BCG. Gemcitabine, as a systematic chemotherapeutic agent, has been used to treat many types of tumor, such as bladder cancer, pancreatic adenocarcinoma, non-small cell lung cancer, and breast cancer (22-24). In bladder cancer, GEM combined with a platinum chemotherapeutic drug is the standard treatment of MIBC, which indicating its efficacy in intravenous application (1). In recent years, GEM has also been used to treat NMIBC through intravesical instillation, including immediate instillation and maintenance instillation. Clinical trials of these two instillation strategies demonstrated that GEM could prevent bladder tumor recurrence effectively (10,25). Especially in patients with high risk or BCG failure NMIBC, the effect of GEM was promising. In the meta-analysis, two studies recruit BCG failure patients. Di Lorenzo et al. found that 52.5% of patients developed disease recurrence after GEM treatment, whereas 87.5% of patients relapsed after BCG treatment (10). Another pilot study includes a total of 19 participants with pT1G3 tumor (18). Three in nine patients are recurrence-free after GEM instillation (18). However, in BCG group, only one patient is disease-free, and two patients die (18). A retrospective study with 69 patients analyzed the effect of GEM in different BCG failure types (BCG refractory, BCG resistant, BCG recurrent, and BCG intolerant) (26). The overall recurrence rate is reported as 66.7%, and no difference is detected between BCG refractory and other BCG failure types (26). These results provide a feasible conservative treatment for patients with BCG failure independent of failure type. In the meta-analysis, we perform a subgroup analysis by different risks of recurrence. All subgroups (high risk, intermediate-risk, and unspecified risk) show comparable efficacies between GEM and BCG. In unspecified risk subgroup, GEM treatment is more effective than BCG treatment but this is not statistically significant [HR =0.60 (0.35–1.04)]. Further studies of GEM treatment for non-high-risk tumor are required. The total incidence of adverse events is similar between BCG and GEM groups. Patients treated with BCG are more likely to suffer urinary adverse events, such as dysuria, hematuria, cystitis, and even urosepsis (20,21). This may be due to the strong local immune response of urothelial cells to live-attenuated Mycobacterium Bovis. Nevertheless, GEM is more likely to cause gastrointestinal tract and skin reactions, such as nausea and dermatitis, even though the incidence is rather low (10,20). Gontero et al. measured the quality of life of patients receiving GEM and BCG (20). The cognitive functioning score is significantly decreased in BCG group than GEM group over time (20). These results conclude that GEM treatment is associated with less toxicity than BCG treatment during regular instillation. This study combines 6 original studies and provided an alternative intravesical therapy for BCG. The subgroup and sensitivity analysis reveal the robustness of the results. But there are still several limitations. The main limitation is the quality of the included studies. Three studies are of high risk of bias, and two studies are not randomized trials. Considering that different study types are included, we perform subgroup analysis and indicate similar effect sizes between different study designs. Another limitation is the small number of included studies and participants. It disenables the performance of publication bias tests and meta-regression to detect confounding factors. Further well design double-blind RCTs are required to assess the efficacy of scheduled GEM intravesical therapy in patients with NMIBC.

Conclusions

Scheduled intravesical GEM instillation has a similar effect with BCG instillation in preventing NMIBC recurrence and progression, but GEM therapy causes a lower incidence of dysuria and hematuria than BCG. GEM may be an alternative therapy for BCG. However, the results should be treated with caution due to the low to moderate quality of the included studies.
  23 in total

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Authors:  Siteng Chen; Ning Zhang; Jialiang Shao; Xiang Wang
Journal:  Int J Surg       Date:  2018-02-28       Impact factor: 6.071

2.  Therapeutic options in high-risk non-muscle-invasive bladder cancer during the current worldwide shortage of bacille Calmette-Guérin.

Authors:  A Hugh Mostafid; Joan Palou Redorta; Richard Sylvester; J Alfred Witjes
Journal:  Eur Urol       Date:  2014-11-28       Impact factor: 20.096

3.  Quality of Life in Long-term Survivors of Muscle-Invasive Bladder Cancer.

Authors:  Kimberley S Mak; Angela B Smith; Alec Eidelman; Rebecca Clayman; Andrzej Niemierko; Jed-Sian Cheng; Jonathan Matthews; Michael R Drumm; Matthew E Nielsen; Adam S Feldman; Richard J Lee; Anthony L Zietman; Ronald C Chen; William U Shipley; Matthew I Milowsky; Jason A Efstathiou
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-08-24       Impact factor: 7.038

4.  Gemcitabine versus bacille Calmette-Guérin after initial bacille Calmette-Guérin failure in non-muscle-invasive bladder cancer: a multicenter prospective randomized trial.

Authors:  Giuseppe Di Lorenzo; Sisto Perdonà; Rocco Damiano; Adriana Faiella; Francesco Cantiello; Sandro Pignata; Paolo Ascierto; Ester Simeone; Marco De Sio; Riccardo Autorino
Journal:  Cancer       Date:  2010-04-15       Impact factor: 6.860

5.  Intravesical gemcitabine in BCG-refractory T1G3 transitional cell carcinoma of the bladder: a pilot study.

Authors:  Mauro Gacci; Riccardo Bartoletti; Tommaso Cai; Stefano Nerozzi; Novello Pinzi; Fabrizio Repetti; Fabrizio Viggiani; Paolo Ghezzi; Gabriella Nesi; Marco Carini
Journal:  Urol Int       Date:  2006       Impact factor: 2.089

6.  Intravesical gemcitabine for high risk, nonmuscle invasive bladder cancer after bacillus Calmette-Guérin treatment failure.

Authors:  Itay A Sternberg; Guido Dalbagni; Ling Y Chen; Sherri M Donat; Bernard H Bochner; Harry W Herr
Journal:  J Urol       Date:  2013-05-07       Impact factor: 7.450

7.  Erlotinib Versus Gemcitabine Plus Cisplatin as Neoadjuvant Treatment of Stage IIIA-N2 EGFR-Mutant Non-Small-Cell Lung Cancer (EMERGING-CTONG 1103): A Randomized Phase II Study.

Authors:  Wen-Zhao Zhong; Ke-Neng Chen; Chun Chen; Chun-Dong Gu; Jun Wang; Xue-Ning Yang; Wei-Min Mao; Qun Wang; Gui-Bin Qiao; Ying Cheng; Lin Xu; Chang-Li Wang; Ming-Wei Chen; Xiaozheng Kang; Wanpu Yan; Hong-Hong Yan; Ri-Qiang Liao; Jin-Ji Yang; Xu-Chao Zhang; Qing Zhou; Yi-Long Wu
Journal:  J Clin Oncol       Date:  2019-06-13       Impact factor: 44.544

8.  ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.

Authors:  Jonathan Ac Sterne; Miguel A Hernán; Barnaby C Reeves; Jelena Savović; Nancy D Berkman; Meera Viswanathan; David Henry; Douglas G Altman; Mohammed T Ansari; Isabelle Boutron; James R Carpenter; An-Wen Chan; Rachel Churchill; Jonathan J Deeks; Asbjørn Hróbjartsson; Jamie Kirkham; Peter Jüni; Yoon K Loke; Theresa D Pigott; Craig R Ramsay; Deborah Regidor; Hannah R Rothstein; Lakhbir Sandhu; Pasqualina L Santaguida; Holger J Schünemann; Beverly Shea; Ian Shrier; Peter Tugwell; Lucy Turner; Jeffrey C Valentine; Hugh Waddington; Elizabeth Waters; George A Wells; Penny F Whiting; Julian Pt Higgins
Journal:  BMJ       Date:  2016-10-12

9.  Efficacy and Safety of Gemcitabine With Trastuzumab and Pertuzumab After Prior Pertuzumab-Based Therapy Among Patients With Human Epidermal Growth Factor Receptor 2-Positive Metastatic Breast Cancer: A Phase 2 Clinical Trial.

Authors:  Neil M Iyengar; Lillian M Smyth; Diana Lake; Ayca Gucalp; Jasmeet C Singh; Tiffany A Traina; Patricia DeFusco; Monica N Fornier; Shari Goldfarb; Komal Jhaveri; Shanu Modi; Tiffany Troso-Sandoval; Sujata Patil; Gary A Ulaner; Maxine Jochelson; Larry Norton; Clifford A Hudis; Chau T Dang
Journal:  JAMA Netw Open       Date:  2019-11-01

10.  Practical methods for incorporating summary time-to-event data into meta-analysis.

Authors:  Jayne F Tierney; Lesley A Stewart; Davina Ghersi; Sarah Burdett; Matthew R Sydes
Journal:  Trials       Date:  2007-06-07       Impact factor: 2.279

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