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Erlotinib for advanced pancreatic cancer

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Abstract

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows:

To evaluate the effectiveness and toxicity profile of erlotinib alone or combined with other therapies for the treatment of advanced pancreatic cancer, as first‐line, second‐line or palliative treatment.

Background

Description of the condition

Adenocarcinoma of the pancreas, also known as pancreatic cancer , is the fourth most common cause of cancer death in the United States and the fifth in Europe with an estimated 43,000 new cases in the United States and approximately 58,000 new cases in Europe occurring annually (Ferlay 2007; Siegel 2012). In Japan and China, available data showed an incidence rate of 8.5 and 3.6 per 100.000, respectively, and a mortality rate of 7.7 and 3.5 per 100.000, respectively (data projected to 2012, represented as age‐standardised rate). In South Africa, incidence is 4.7 and mortality 4.6 per 100,000. These data show that mortality is nearly equal to incidence (IARC 2012) (Figure 1). Less than 20% of pancreatic cancer patients are susceptible of curative surgical resection. Etiology of pancreatic cancer remains still unknown, although several advances in the understanding of its molecular pathogenesis and in the management of early‐stage disease have been done (Hidalgo 2010; Wörmann 2013). Only tobacco use has been described to be associated with an increased risk of pancreatic cancer, although alcohol intake, consumption of coffee and use of aspirin may be contributing factors as well as chronic pancreatitis, family history, diabetes, chronic cirrhosis, a high‐fat, high‐cholesterol diet, and previous cholecystectomy (Hsu 2011; Landi 2009). New‐onset diabetes mellitus with no risk factors has been associated with pancreatic cancer (Hsu 2011). Diagnosis is often delayed due to non specific clinical presentation and vague symptomatology, which can include pain, weight loss, dyspepsia, nausea, vomiting, depression, deep venous thrombosis and, in end‐stage disease, steatorrhoea (due to malabsorption). Unfortunately, there are no specific warning signs of pancreatic cancer and only few patients present with jaundice, cholestasis and cholangitis, being more likely to receive an early diagnosis. Since the majority of patients already have metastatic, non‐operable disease at diagnosis with a median survival time of three to six months (NCI 2014); even after curative resection, patients often develop distant metastases, efforts have been focused on the treatment of advanced, unresectable pancreatic cancer. According to guideline released by the National Comprehensive Cancer Network, treatment with chemotherapy or radiotherapy, or both, is applicable for pancreatic cancer staged as “locally advanced” (not resectable) or metastatic pancreatic cancer, or in recurrences after resection (NCCN 2014). Different combination treatments are chosen on the basis of the feasibility of surgery and patients' performance status according to the Eastern Cooperative Oncology Group/World Health Organization (WHO) classification, defined as “good” (grade 0 to 2: good pain management, patent biliary stent and adequate nutritional intake), or poor (grade 3 to 4) (Oken 1982) (Table 1). The use of palliative chemotherapy has been reported to improve survival and quality of life, despite a modest gain in overall survival (Sultana 2007).


Incidence and mortality of pancreatic cancer (age standardised rate) per 100,000 in the world. Data projected to year 2012, both sexes, all ages. Available from WHO‐IARC (http://globocan.iarc.fr/Pages/online.aspx; accessed 10 November 2014).

Incidence and mortality of pancreatic cancer (age standardised rate) per 100,000 in the world. Data projected to year 2012, both sexes, all ages. Available from WHO‐IARC (http://globocan.iarc.fr/Pages/online.aspx; accessed 10 November 2014).

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Table 1. Eastern Cooperative Oncology Group/WHO performance status classification

Grade

Explanation of activity

0

Fully active, able to carry on all pre‐disease performance without restriction

1

Restricted in physically strenuous activity but ambulatory and able to carry out work of a light or sedentary nature, e.g., light house work, office work

2

Ambulatory and capable of all self care but unable to carry out any work activities. Up and about more than 50% of waking hours

3

Capable of only limited self care, confined to bed or chair more than 50% of waking hours

4

Completely disabled. Cannot carry on any self care. Totally confined to bed or chair

5

Dead

Eastern Cooperative Oncology Group/WHO performance status classification (Oken 1982)

Description of the intervention

Gemcitabine, a cytotoxic agent, has been considered as the mainstream therapy for advanced pancreatic disease since 1997 (Burris 1997). Several alternative cytotoxic and biological or target agents have been studied in various combination regimens with or without gemcitabine for the treatment of pancreatic cancer, but have not produced any superior result over gemcitabine alone (Bramhall 2002; Cheverton 2004; Louvet 2005; Moore 2003; Oettle 2005; Rocha Lima 2004; Van Cutsem 2004). Two recent studies have compared gemcitabine alone as control to gemcitabine plus nab‐paclitaxel (Von Hoff 2013), and to a combination regimen without gemcitabine named FOLFIRINOX, consisting of folinic acid (FOL), fluorouracil (F), irinotecan (IRIN) and oxaliplatin (OX) (Conroy 2011), resulting in a statistically significant improvement in terms of overall survival for the experimental arm in both trials. Many efforts have been made to identify molecular markers (for example, epidermal growth factor receptor gene copy number and mutation of the Kirsten rat sarcoma viral oncogene) that are able to predict response rate and survival benefit from treatment with agents acting against biologic targets overexpressed in specific cancers, highlighting the importance of a better understanding of molecular mechanisms underlying targeted therapies (da Cunha Santos 2010). Human epidermal growth factor receptor type 1 is overexpressed in many pancreatic tumours, showing an association with poor prognosis and disease progression (Ueda 2004). Targeted therapies against epidermal growth factor receptor‐mediated signalling are, therefore, a recent cornerstone of treatment of pancreatic cancer and include two main modalities: monoclonal antibodies against the extracellular domain (for example, cetuximab and bevacizumab) and small molecule tyrosine kinase inhibitors, which interfere with the signalling pathway (for example, erlotinib). Erlotinib is an oral human epidermal growth factor receptor type 1 tyrosine kinase inhibitor, recently proposed as first‐line treatment for advanced pancreatic cancer in combination with gemcitabine. Epidermal growth factor receptor inhibitors have been shown to be clinically effective in various cancers (Lurje 2009). Combination of gemcitabine with capecitabine or erlotinib have been both indicated as new potential treatment platforms for advanced pancreatic cancer (Cunnigham 2009). In a relatively recent clinical trial, the combination of gemcitabine plus erlotinib has been reported to produce a significant increased survival compared to gemcitabine alone, but with an increased toxicity (Moore 2007). Radiotherapy combined with chemotherapy seems to offer no advantages in the treatment of pancreatic cancer (Hammel 2013). Very recently, two network meta‐analyses have been published. The first (Gresham 2014), including 19 studies, concluded that gemcitabine/erlotinib was superior over gemcitabine alone, and over gemcitabine/cetuximab in terms of overall survival. The second (Chan 2014), including 16 studies, demonstrated the superiority of FOLFIRINOX over other treatments in terms of overall survival, progression‐free survival and objective response rate.

Erlotinib as a single agent appeared to be well tolerated, with diarrhoea, acneiform skin rash, headache, nausea, vomiting, fatigue and mucositis being the main reported dose‐limiting side effects (Hidalgo 2001; Starling 2006). Patients who developed ≥ grade 2 rash under treatment with erlotinib and gemcitabine were reported to get the major benefit from the treatment in terms of survival (Wacker 2007). Interstitial lung disease‐like syndrome has been also reported as a more severe side effect due to both gemcitabine and erlotinib (Moore 2007). Despite these positive results, many patients still progress quickly even under treatment with gemcitabine and erlotinib (Moore 2007). Further investigation on alternative therapeutic options are therefore needed. Among available trials, everolimus (Javle 2010), ascorbic acid (Monti 2012), paclitaxel combined with radiation (Iannitti 2005), or radiotherapy alone (Duffy 2008) have been administered in combination with erlotinib/ gemcitabine with heterogenous and often preliminary results. Recently, a phase III trial focused on the combination of bevacizumab with gemcitabine‐erlotinib (Van Cutsem 2004), showing an improved progression‐free survival, despite no significant benefit for overall survival.

How the intervention might work

Erlotinib is a type of anticancer medicine defined as a tyrosine kinase inhibitor. It is taken orally, once a day in a dose of 100 mg or 150 mg. It works by potent inhibition of the intracellular phosphorylation of epidermal growth factor receptor, which is expressed on the cell surface of both normal and cancer cells. Mutation of epidermal growth factor receptor may lead to abnormal activation of anti‐apoptotic and proliferation signalling pathways. Erlotinib blocks epidermal growth factor receptor‐mediated signalling interacting with adenosine triphosphate‐binding site in the mutated kinase domain of the epidermal growth factor receptor. Due to the blocking of downstream‐signalling, the proliferation of cells is stopped and cell death is induced through the intrinsic apoptotic pathway. Treatment with Erlotinib could be clinically relevant if ongoing research will demonstrate a delay in cancer progression, and hopefully, an extension of survival and improvement in quality of life.

Why it is important to do this review

Pancreatic cancer is often diagnosed late because symptoms are vague or confounding. Due to the late diagnosis, surgical intervention is often no possible. Chemotherapy is often considered as a palliative measure. Erlotinib is showing promise in the treatment of advanced pancreatic cancer, and is the only target therapy that has reached a commercial authorisation as a treatment for pancreatic cancer, in association with gemcitabine, although it is questionable whether results in overall survival are clinically meaningful. A number of new studies have been conducted with the aim to test erlotinib in combination with cytotoxic or biological agents or to improve the selection of eligible patients. Probably new results will be available in the near future. Patients' expectations are dramatically higher, assuming that they hope for improved prognosis and lengthened life, during which time they would have an acceptable quality of life with minimum adverse effects due to treatment. A systematic review of all the studies can provide practitioners a source of good evidence for decision making.

Objectives

To evaluate the effectiveness and toxicity profile of erlotinib alone or combined with other therapies for the treatment of advanced pancreatic cancer, as first‐line, second‐line or palliative treatment.

Methods

Criteria for considering studies for this review

Types of studies

Randomised controlled trials (RCTs), irrespective of phase, comparing therapeutic strategies/regimens which include erlotinib, in combination or alone, and therapeutic regimens not containing erlotinib.

Types of participants

We will include patients older than 18 years, who are diagnosed histologically or cytologically as having adenocarcinoma of the pancreas, staged as locally advanced, unresectable pancreatic adenocarcinoma or metastatic pancreatic adenocarcinoma (NCCN 2014).

We will consider patients presenting with both good or poor performance statuses (Oken 1982) (Table 1), and we will conduct subgroup analysis stratified by the corresponding status (Subgroup analysis and investigation of heterogeneity).

Types of interventions

  • Intervention: erlotinib administered alone or in combination with chemotherapy (regimens with agents considered as "standard" or "traditional" anti‐cancer medicines), biologic agents, best supportive care, radiotherapy

  • Comparator: the same regimen used in the intervention group without erlotinib

Types of outcome measures

Primary outcomes

  • Overall survival

  • Progression‐free survival

Secondary outcomes

  • Incidence of significant adverse drug reactions

    • Dermatologic (skin rash, xeroderma, pruritus, paronychia, alopecia, acne vulgaris, dermatitis, erythematous rash, palmar‐plantar erythrodysesthesia, bullous dermatitis)

    • Gastrointestinal (diarrhoea, anorexia, nausea, decreased appetite, vomiting, mucositis, stomatitis, constipation, abdominal pain)

    • Respiratory (dyspnoea, cough)

  • Time of deterioration of performance status estimated on the basis of criteria proposed by the Definition for the Assessment of Time‐to‐event Endpoints in CANcer trials (DATECAN) Project (Bonnetain 2014)

  • Time of deterioration of quality of life estimated on the basis of the DATECAN Project (Bonnetain 2014), or, alternatively, based on the latest available time point closest to two months, or both methods

Search methods for identification of studies

Electronic searches

We will search the following databases:

  • the Cochrane Upper Gastrointestinal and Pancreatic Diseases Group Controlled Trials Register;

  • the Cochrane Central Register of Controlled Trials (CENTRAL) published in The Cochrane Library (current issue) (Appendix 1);

  • MEDLINE (1946 to present) (Appendix 2);

  • EMBASE (1980 to present) (Appendix 3);

  • CINAHL.

We will search these electronic sources according to the criteria described in the Cochrane Handbook for Systematic Reviews of Interventions (Dickersin 1994; Glanville 2006; Heynes 2005; Higgins 2011) and running the Collaborative Upper Gastrointestinal and Pancreatic Diseases Group specific strategy for identification of studies.

Searching other resources

We will search the following additional sources:

  • bibliography of included trials to identify other published studies;

  • clinical trials databases to find ongoing studies (e.g. ClinicalTrials.gov (http://clinicaltrials.gov/), the WHO International Clinical Trial Registry Platform (ICTRP) search portal (http://apps.who.int/trialsearch/), the International Standard Randomised Controlled Trial Number (ISRCTN) Registry (http://www.isrctn.com/);

  • conference proceedings for preliminary data or interim‐analysis results.

We will contact the authors to get information about not‐published or incomplete data.

Data collection and analysis

Selection of studies

Two authors (SC,EG) will independently assess titles and abstracts. We will resolve any differences in opinion by discussion or, if necessary, by consulting a third author (PB). We will retrieve full text for titles and abstracts that potentially fit our inclusion criteria. Two independent authors (SB,RC) will assess these full articles and differences in opinion will be resolved using the above procedure.

Any exclusion of a potentially eligible trial will be justified in the review.

Data extraction and management

Two authors (SB,PB) will independently extract data from the included trials. We will obtain details on study design, participants, setting, interventions, follow‐up duration, quality components, primary and secondary outcomes. If there are any disagreements during the data extraction process we will consult a third author (RD) if necessary. If we identify a trial that is only presented in abstract form, we will search for further information by contacting the authors, and checking for the best available resource or publication. Where possible, we will seek any missing data or unclear information from the authors. For studies with more than one publication, we will extract data from all the publications, but we will consider the final or updated version of each trial to be the primary reference.

Assessment of risk of bias in included studies

Two authors (SB,RD) will independently evaluate each study for risk of bias using the criteria recommended in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011). We will assess risk of bias in included studies against the domains of sequence generation, allocation concealment, blinding of participants, blinding of personnel and outcome assessors, incomplete outcome data, selective outcome reporting, and other potential threats to validity (trial stopped early for benefit). We will judge each domain as at low or high risk of bias, or at unclear risk of bias according to the criteria in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011).

Sequence generation

We will assess randomisation as 'low risk of bias' if the procedure for sequence generation was explicitly described and considered adequate to produce comparable groups. Examples include computer‐generated random numbers, a random numbers table or coin‐tossing.

Allocation concealment

We will assess concealment of treatment allocation as 'low risk of bias' if the procedure was explicitly described and adequate to ensure that intervention allocations could not have been foreseen in advance of or during enrolment. Examples are centralised randomisation, numbered or coded containers, or sealed envelopes. Clearly inadequate procedures are alternation, or reference to case record numbers or dates of birth.

Blinding of participants, clinicians and outcome assessors

For each study included we will describe the methods used, if any, to blind outcome assessors from knowledge of which intervention a participant received for all outcomes. We will judge studies at low risk if they were blinded, or if we considered the lack of blinding could not have affected the results.

Incomplete outcome data

We will assess reporting of incomplete outcome data as 'low risk of bias' if attrition and exclusions were reported, reasons for attrition were reported and any re‐inclusions in analyses were done by the authors. This will be considered adequate if there are no missing data, or if missing outcome data are unlikely to be related to the true outcome, similar across groups, or have no clinically relevant impact on the intervention effect estimate, etc.

Selective outcome reporting

We will assess reporting of outcomes as 'low risk of bias' if all the study outcomes were reported in the way specified in the study protocol.

Other potential threats to validity

We will assess other threats to validity as ''low risk of bias' if the study appears to be free of other sources of bias, such as being stopped early on account of a data‐dependent process (Moja 2012). or having a baseline imbalance between the groups. Where the risk of bias is unclear from published information, we will attempt to contact authors for clarification. If this is not possible, we will consider the studies as at unclear risk of bias. In case of differently scored items, the two review authors will attempt to reach agreement by discussion; persistent disagreement will be resolved by the third author.

Measures of treatment effect

We have chosen the hazard ratio (HR) as the measure of association for overall survival and progression‐free survival. A HR of less than 1.0 favours regimens containing erlotinib and ratios larger than 1.0 favours regimens that do not contain erlotinib. If not reported, we will indirectly obtain the HRs by using the methods described in Parmar 1998.

The measure of association chosen for combining toxicities is the risk ratio (RR). A RR greater than 1.0 indicates that regimens containing erlotinib are more toxic than the regimens in the control arm, and less than 1.0 indicates that the regimens in the control arm are more toxic than the ones containing erlotinib.

Where outcomes are measured as continuous data (i.e. quality of life), we will compare the mean differences (MDs) in change scores, depending on the data available. If standard deviations (SDs) or standard errors (SEs) are not available, we will attempt to extract P values, t values and the confidence intervals (CIs) to impute SDs and SEs. If authors have used different scales to measure similar outcomes, we will use standardised mean differences (SMDs).

Unit of analysis issues

We will consider the individual patient randomised to receive either erlotinib containing regimens or erlotinib‐not containing regimens as the unit of analysis.

Dealing with missing data

We will carry out the analyses, as far as possible, on an intention‐to‐treat basis, meaning we will attempt to include all participants randomised to each group in the analyses, regardless of whether they received the allocated intervention.

We will describe missing data and drop‐outs/attrition for each study in the 'Risk of bias' table, and discuss the extent to which the missing data could alter the results/conclusions of the review. Where necessary, we will contact the corresponding authors to supply any unreported data.

We will assess the sensitivity of meta‐analyses to missing data using the strategy recommended by the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011). This will involve imputing outcomes for the missing participants based on consideration of what the event rates might have been in the missing data. We will then compare the results of the meta‐analyses with imputed data with those from the original analyses. We will discuss any discordances in the full review.

Assessment of heterogeneity

We will assess clinical heterogeneity by comparing the distribution of important participant factors between trials (e.g. age, disease stage), and trial factors (randomisation concealment, blinding of outcome assessment, losses to follow‐up, treatment type, co‐interventions). We will assess statistical heterogeneity by using Chi2 test and I2 statistic (Higgins 2011), which describe the proportion of variation in point estimates due to variability across studies rather than sampling error. An I2 value of greater than 50% will be classified as substantial heterogeneity, and we will discuss the scale and impact of any substantial statistical heterogeneity accordingly (Higgins 2011).

Assessment of reporting biases

To minimise publication bias, we will attempt to obtain the results of any unpublished studies in order to compare findings extracted from published reports with results from other sources (including drug regulatory agencies and correspondence).

If there are more than 10 studies grouped in a comparison, we will assess reporting biases using funnel plots to investigate any relationship between effect estimates and study size/precision, as recommended in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011).

Data synthesis

We will pool the HRs and RRs on the log scale and the weighted MDs (or SMDs) through the generic inverse variance method.

We will combine the studies using the random‐effects model because we assume that latent clinical heterogeneity is ubiquitous, and very likely to affect results given the potential differences across agents, co‐interventions, and settings.

We will perform statistical analysis using the Cochrane Collaboration statistical software, Review Manager 2014.

Subgroup analysis and investigation of heterogeneity

In order to explore how sources of possible heterogeneity could influence the direction and magnitude of erlotinib effect, if enough data were retrieved we will perform subgroup analyses considering the following factors:

  • different therapy lines (e.g. first‐line, second‐line);

  • different concomitant interventions;

  • different treatment durations.

Sensitivity analysis

We will conduct sensitivity analyses to establish whether findings differ by:

  • comparing studies judged to be at low risk of bias versus studies judged to be at high risk;

  • comparing studies not stopped earlier for benefit versus studies stopped early for benefit;

  • making different hypotheses on any imputed data.

Incidence and mortality of pancreatic cancer (age standardised rate) per 100,000 in the world. Data projected to year 2012, both sexes, all ages. Available from WHO‐IARC (http://globocan.iarc.fr/Pages/online.aspx; accessed 10 November 2014).
Figuras y tablas -
Figure 1

Incidence and mortality of pancreatic cancer (age standardised rate) per 100,000 in the world. Data projected to year 2012, both sexes, all ages. Available from WHO‐IARC (http://globocan.iarc.fr/Pages/online.aspx; accessed 10 November 2014).

Table 1. Eastern Cooperative Oncology Group/WHO performance status classification

Grade

Explanation of activity

0

Fully active, able to carry on all pre‐disease performance without restriction

1

Restricted in physically strenuous activity but ambulatory and able to carry out work of a light or sedentary nature, e.g., light house work, office work

2

Ambulatory and capable of all self care but unable to carry out any work activities. Up and about more than 50% of waking hours

3

Capable of only limited self care, confined to bed or chair more than 50% of waking hours

4

Completely disabled. Cannot carry on any self care. Totally confined to bed or chair

5

Dead

Eastern Cooperative Oncology Group/WHO performance status classification (Oken 1982)

Figuras y tablas -
Table 1. Eastern Cooperative Oncology Group/WHO performance status classification