Meta‑analysis of current chemotherapy regimens in advanced pancreatic cancer to prolong survival and reduce treatment‑associated toxicities
- Authors:
- Published online on: November 9, 2018 https://doi.org/10.3892/mmr.2018.9638
- Pages: 477-489
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Copyright : © Chen et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY 4.0].
Abstract
Introduction
Unresectable advanced pancreatic cancer (APC) is the most lethal and the most aggressive human cancer (1). APC is predicted to increase from the 4th to the 2nd leading cause of mortality in the USA by 2020 due to its lethal and malignant characteristics (2). Due to the limitations of diagnostic techniques, the majority of patients and clinicians become aware of the disease too late, as this cancer is frequently diagnosed in an advanced stage (3,4). APC is characterized by a high mortality rate worldwide, 90.8% in China (5), 78.5% in the USA (6) and 95.0% in Canada (7).
Gemcitabine (Gem) was more effective compared with 5-fluorouracil (5-FU) in patients with APC and improved the survival rate; therefore, it was approved as a first-line regimen by the US Food and Drug Administration (FDA) in 1996 (8). At present, the majority of chemotherapy regimens are derived from Gem, which was used as the control treatment in numerous previous studies (9–11).
Although a number of combination chemotherapy regimens containing Gem (Gem+Xs) or monotherapies have become more prevalent over the past decades (12), the improvement of the conditions of the patients has been limited (12–15). For example, the poor prognosis of APC leads to a low survival rate (14,16,17), which has remained relatively unaltered for ~5 decades (15). Nevertheless, the benefits and risks of combination chemotherapy regimens remain unclear. Therefore, first-line chemotherapy regimen data were pooled to comprehensively evaluate the benefits and risks of these treatments.
Materials and methods
Study design
In order to assess the benefits and risks of various chemotherapy regimens in distinct conditions, head-to-head comparison clinical trials were selected. This network meta-analysis followed the preferred reporting items of system reviews and meta-analysis (PRISMA) statement (18) while integrating evidence from direct and indirect treatment comparisons (19). The flow chart for study selection is presented in Fig. 1.
Search strategy
The comprehensive search strategy was conducted using the MEDLINE (www.pubmed.com), EMBASE (www.embase.com), Cochrane Central Register of Controlled Trails (www.cochranelibrary.com) and ClinicalTrials.gov (https://ClinicalTrials.gov) databases with the following search terms: (Advanced pancreatic cancer or pancreatic cancer) AND (advanced pancreatic cancer or chemotherapy regimens). The drug abbreviations and the combinations tested are listed in Table I.
Study selection criteria and outcomes
Experienced investigators independently selected the studies and extracted the data, and any conflicts were resolved in discussion. The study selection criteria were based on the National Comprehensive Cancer Network 2017 criteria (20). The following inclusion criteria were applied: (i) Parallel-group randomized controlled trials (RCTs; phase II or III) with the Gem intervention set as the common comparison treatment and including ≥2 arms; (ii) a minimum 6-month follow-up period; (iii) patients ≥18 years old (i.e., adult patients); (iv) diagnosis of unresectable APC; (v) application of palliative treatments, including invasive radiation therapy, chemotherapy or chemoradiation therapy, targeted therapies or combination therapy with the respective placebo or control group; (vi) either fixed-dose or flexible-dose RCTs with dose titration; and (vii) the patient performance status reported as 0–2 scores in the Eastern cooperative oncology group or 70–80% in Karnofsky scales (21). Previous studies that (i) included patients undergoing radical resection, (ii) failed to report the number of patients, (iii) failed to report the primary efficacy outcome [progression-free survival (PFS)], or (iv) failed to report the data necessary to estimate the standard deviation of the primary efficacy outcome were excluded.
Data extraction
The following data were extracted from each included RCT: First author's name, published year, clinical phase, sample size of each arm, age, treatment, dosage, route, duration, overall survival (OS) in months, PFS in months, and 14 treatment-associated categories of side effects associated with quality of life (‘hepatotoxicity’, ‘haematological’, ‘mental/psychiatry’, ‘renal toxicity’, ‘gastrointestinal’, ‘neuropathy’, ‘electrolytes imbalance’, ‘pain’, ‘infection’, ‘skin’, ‘constitutional symptoms’, ‘cardiac/vascular’, ‘pulmonary’ and ‘other’). The details of the outcomes of the included studies are presented in Table II.
Risk of bias assessment
To reduce the risk bias, the recommended approach of Cochrane reviews was followed and the risk was assessed throughout the process (22). The following bias sources were independently assessed: Random sequence generation, allocation concealment, blinding of investigators and/or patients, blinding of outcome assessment and the degree of data incompleteness. Each bias was scored as low, unclear or high, as presented in Table III.
Statistical analysis
All statistical analyses were performed using the network meta-analysis package in Stata (version 13.0; StataCorp LP, College Station, TX, USA) (19). For the endpoint outcomes, OS and PFS data were extracted from references as medians and subsequently transformed into standardized mean differences with 95% confidence intervals (CIs). A network meta-analysis was conducted following the standard workflow (19). The network map presents the connection status of the studies; no loops and a P-value >0.05 validated the consistency model to perform the network meta-analysis. Heterogeneity was assessed with the I2 metric. Heterogeneity was 0% for OS and 75.64% for PFS. Therefore, the Mantel-Haenszel fixed-effects model was used for OS, and the Mantel-Haenszel random-effects model was used for PFS (21). All of the studies with various treatments were included as drugs that were either directly or indirectly associated with a common comparator (Gem only) for further downstream ranking analysis. Subsequently, to rank the effects of the treatments, the analysis of the surface under the cumulative ranking (SUCRA) probabilities was performed under the protocol of Stata (19), and the results are presented as the percentage of the efficacy of each intervention relative to a hypothetical ideal intervention (23). A larger SUCRA score indicated longer OS and PFS.
The data are presented in an ordinal data format according to the 14 categories of side effects. Network meta-analyses were separately conducted, and the data were calculated as hazard ratios with 95% CIs. To examine and classify the adverse effects that occurred among the different treatments, a stack bar graph of each category was generated.
Results
Standard workflow via PRISMA
To ensure the general quality of the present study, a PRISMA flowchart regarding the screening process of the study used, is presented in Fig. 1. From an initial set of 7,855 non-duplicated studies, a total of 23 RCTs were included in this analysis. The drug abbreviations and the combinations assessed are listed in Table I, and the general characteristics of the included RCTs or studies are presented in Table II. The risk of bias assessment for these included RCTs is depicted in Table III. The geometry evidence of the OS network plot and its associated pooled forest plot are summarized in Fig. 2. Furthermore, the geometry evidence of the PFS network plot and its associated pooled forest plot are summarized in Fig. 3. Using SUCRA, graphs of the rank of the treatments associated with OS and PFS are listed in Fig. 4, and the 14 types of treatment-associated toxicities are presented in Fig. 5.
Network diagram (geometry and forest)
Numerous combinations of various treatments were analyzed. The network maps of OS and PFS demonstrated the geometry of 18 chemotherapy regimens compared with a common treatment, Gem, and no loops were identified (Figs. 2A and 3A). Furthermore, the network forest plots indicated the effectiveness of the different regimens compared with the pooled overall result (Figs. 2B and 3B).
Ranking treatments
Due to the variable conditions of APC, a critical aspect to be considered by medical doctors is what chemotherapy regimens are the most suitable and reasonable for the specific conditions of their patients. Therefore, 19 chemotherapy regimens were ranked according to their SUCRA probabilities based on OS and PFS (Fig. 4).
Regarding OS (Fig. 4A), Gem ranked 6th with a SUCRA value of 63.6. The top five combination regimens included Gem+radiotherapy (Radio), Gem+cisplatin (Cis), Gem+erlotinib (Erl)+bevacizumab (Bev), Gem+capecitabine (Cap)+Erl, and Gem+exatecan (Exa). The present results suggested that radiotherapy was the most effective treatment in extending the OS of patients, consistently with the results observed for PFS (Fig. 4B). The SUCRA scores for Gem+irinotecan (Iri) to Gem+tipifarnib presented a similar medium rank, and the scores for Gem+Cap to Gem+vismodegib (Vis) presented a low rank.
For PFS (Fig. 4B), Gem ranked 8th with a SUCRA value of 57.2. The top seven combination regimens included Gem+Radio, Gem+Erl+Bev, Gem+Cis, Gem+Cap+Erl, Gem+pemetrexed, Gem+Iri and Gem+etanercept. The SUCRA scores from Gem+ sorafenib (Sor) to Gem+ nab-paclitaxel (Nab-p) presented a medium rank, and Gem+Cap to Gem+Vis presented a low rank.
Adverse events
In addition to survival, health-associated quality of life issues are a central aspect for patients with APC. Improving the health-associated quality of life by reducing treatment-associated toxicities and the occurrence rate of adverse events is important for patients. The majority of common treatment-associated toxicities include ‘hepatotoxicity’, ‘haematological’, ‘mental/psychiatry’, ‘renal toxicity’, ‘gastrointestinal’, ‘neuropathy’, ‘electrolytes imbalance’, ‘pain’, ‘infection’, ‘skin’, ‘constitutional symptoms’, ‘cardiac/vascular’, ‘pulmonary’ and ‘other’. The majority of these toxicities seriously affect the quality of life of the patient during the treatment process.
Regarding the 19 chemotherapy regimens, each regimen may cause various treatment-associated toxicities, and the occurrence rate of each toxicity varied among treatments. Nevertheless, the three treatment-associated toxicities with the highest occurrence rates were ‘haematological’, ‘gastrointestinal’ and ‘constitutional symptoms’ for all regimens except Gem+Erl, which presented the largest proportions of toxicities. Furthermore, the remaining treatment-associated toxicities, including ‘skin’, ‘hepatotoxicity’, ‘infection’, ‘cardiac/vascular’, ‘neuropathy’, and ‘mental/psychiatry’, were the most common adverse effects among the majority of regimens, following ‘haematological’, ‘gastrointestinal’ and ‘constitutional symptoms’. ‘Renal toxicity’, ‘electrolytes imbalance’ and ‘pulmonary’ presented the lowest occurrence rate among the regimens.
Treatment-associated toxicities always accompany the therapeutic process. To achieve the best results from the perspectives of the clinicians and the patients, patients must consider a series of unavoidable treatment-associated toxicities, leading to a complex selection process.
Discussion
Since Gem was approved as a first-line treatment for APC by the FDA in 1996, a number of combination chemotherapy regimens, including Gem+Xs, have emerged. Post-treatment long-term survival remains poor and is a marked risk of the current chemotherapy regimens (24). This issue may be caused by a failure of local control and of diagnosing localized APC in time (25). Associated RCTs and studies published between 2002 and 2016, covering a total of 14 years, were selected to assess the advantages and disadvantages of each regimen compared with Gem monotherapy.
Among the chemotherapy regimens, Gem+Radio presented the principal improvement in extending OS and PFS. This finding suggested that radiotherapy may block the progressive deterioration associated with advanced cancer and is consistent with the previous study of Youl et al (26), which identified that a gross tumor volume <48 cm3 may be successfully targeted with radiotherapy. An additional three regimens, Gem+Cis, Gem+Erl+Bev and Gem+Cap+Erl, were better compared with Gem monotherapy in terms of OS and PFS. Regarding other combination regimens, Gem+Iri, Gem+Sor, Gem+Erl, Gem+Axitinib, Gem+Exa, Gem+Cetuximab, Gem+Nab-p and Gem+Cap presented higher SUCRA probabilities compared with Gem+5-FU, another double regimen. In contrast, Gem+marismastat and Gem+Vis exhibited decreased SUCRA probabilities. Although numerous regimens are available, side effects always accompany the therapeutic effect. Therefore, selecting the regimen that may offer the longest survival is a complex process that requires the clinician to comprehensively assess the disease status of the patient in order to identify a balance between the benefits and risks of the treatment.
A previous study demonstrated that patients who undergo 5-FU and 5-FU-based regimens following resection had improved survival rates (27). 5-FU has been used as the principle chemoradiation and/or chemotherapy regimens and was previously considered the principal effective chemotherapeutic agent available in pancreatic cancer treatment. In the 1990s, Gem was first demonstrated to be a safe drug with low toxicity for APC treatment (28). Subsequent clinical trials demonstrated the significant advantages of Gem for short-term and long-term OS in the treatment of advanced and metastatic pancreatic cancer (8,29,30); these previous results demonstrated the effectiveness of Gem therapy in pancreatic cancer.
In patients with optimal performance status, concurrent chemotherapy, including FOLFIRINOX, albumin-bound paclitaxel and 5-FU, in combination with Gem, or other Gem-based combined chemotherapies, may provide increased survival benefits (31,32). Although patients at similar disease-stages receive the same chemical regimens, there may be various outcomes due to individual variations.
Gem has been the standard for treating APC since 1996, providing a limited survival of 6 months due to the intrinsic capacity of cancer cells and the surrounding microenvironment to resist cytotoxicity (33,34). Combination therapies with Gem have presented limited effectiveness in clinical trials, and the identification of novel therapeutic strategies that may increase median survival and PFS with reduced adverse effects, is required. Certain treatments, including 5-FU monotherapy, presented significantly decreased survival compared with Gem monotherapy and have demonstrated the effectiveness of Gem as a first-line chemotherapy for APC. Although certain trials examining combination therapies demonstrated improved objective response rates, the treatments failed to achieved improvement in all three of the most common outcomes measured; Median survival, PFS and the objective response rate (35–39). The present network meta-analysis of patients with unresectable pancreatic cancer suggested that the current median survival for patients treated with Gem was >6 months, and the objective response rate for Gem ranged between 4.4 and 17.3% (40). These results may represent the standard to be compared with future results of single-arm phase II trials involving Gem-based combination regimens. The severity of the adverse effects among these regimens was assessed by inconsistent scales, which may contribute to bias. Future studies may consider a consistent scale among various conditions in order to avoid possible biases.
In conclusion, numerous chemotherapy regimens are used to extend the survival and reduce the treatment-associated toxicities of patients with APC. The effect and treatment-associated toxicities of a particular regimen requires consideration to balance the benefits and risks for the patient. The present study provides additional evidence for selecting appropriate treatments according to the clinical situation.
Acknowledgements
The authors would like to thank Dr Kun Huang from Chengdu TME Co., Ltd. (Chengdu, China) for advice on optimizing the data search strategy and Professor Jinhui Tian from Lanzhou University (Lanzhou, China) for the valuable discussion regarding the implications of the results.
Funding
The present study was supported by the Science & Technology Department of Sichuan Province Grants (Sichuan, China; grant no. 2016JY0036).
Availability of data and materials
The analyzed data sets generated during the study are available from the corresponding author on reasonable request.
Authors' contributions
JC, FX and SY conceived and designed the present study. YX, LC, JY, XW, ZZ and NL performed the data extraction. JY and FX ensured the quality of the data. FX and SY analyzed the data. JC, FX and LC drafted the manuscript. All authors read and approved the final manuscript.
Ethics approval and consent to participate
Not applicable.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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