Next Article in Journal
Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen
Previous Article in Journal
Clinical Utility of Gene Expression Profiling Data for Clinical Decision-Making Regarding Adjuvant Therapy in Early Stage, Node-Negative Breast Cancer: A Case Report
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JPM
Volume 2
Issue 3
10.3390/jpm2030077
jpm-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Challenges in Implementing Personalized Medicine for Lung Cancer within a National Healthcare System

by
David E. Dawe
1 and
Peter M. Ellis
2,3,*
1
University of Manitoba, 820 Sherbrook Street, Winnipeg, MB R3A 1R8, Canada
2
Department of Medical Oncology, McMaster University, Hamilton, ON, L8S 4L8, Canada
3
Juravinski Cancer Centre, 699 Concession Street, Hamilton, ON, L8V 5C2, Canada
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2012, 2(3), 77-92; https://doi.org/10.3390/jpm2030077
Submission received: 10 July 2012 / Revised: 21 August 2012 / Accepted: 27 August 2012 / Published: 10 September 2012
Versions Notes

Abstract

:
The traditional approach to the treatment of advanced non-small cell lung cancer (NSCLC) relied on the uniform use of cytotoxic chemotherapy. Over the last eight years, this paradigm of care has been shifting towards the use of molecularly targeted agents. Epidermal growth factor receptor (EGFR) mutations have emerged as an important biomarker for these targeted agents and multiple studies have shown that tyrosine kinase inhibitors (TKI) that inhibit EGFR are superior to traditional chemotherapy in patients possessing an EGFR mutation. Nationally funded health care systems face a number of challenges in implementing these targeted therapies, most related to the need to test for biomarkers that predict likelihood of benefiting from the drug. These obstacles include the challenge of getting a large enough tissue sample, workload of involved specialists, reliability of subtyping in NSCLC, differences in biomarker tests, and the disconnect between the funding of drugs and the related biomarker test. In order to improve patient outcomes, in a national healthcare system, there is a need for governments to accept the changing paradigm, invest in technology and build capacity for molecular testing to facilitate the implementation of improved patient care.

1. Introduction

The last two decades have seen a significant shift in the approach to the management of non-small cell lung cancer (NSCLC). Prior to publication of the Non Small Cell Lung Cancer Trialists overview in 1995 [1], there was significant nihilism about the role of systemic therapy in the treatment of advanced NSCLC. Since that time multiple randomized trials have demonstrated that first-line chemotherapy with platinum-based doublets offers modest improvements in survival from 4–5 months to 8–10 months [2,3]. Additionally, trials demonstrate a benefit from second line chemotherapy [4] and maintenance therapy [5,6], further extending expected survival. Nevertheless, we seem to have reached a plateau regarding the benefit of cytotoxic chemotherapy. Within the last eight years, a better understanding of lung cancer biology together with evidence of benefit for new molecularly targeted therapies has resulted in a shift towards more individualized treatment decisions for patients with advanced NSCLC. This article examines the contrast between traditional approaches to the treatment of NSCLC and personalized treatment approaches and highlights the challenges of implementing personalized treatment approaches for patients with advanced NSCLC.

2. Traditional Approach to the Treatment of NSCLC

Traditionally, all NSCLC histologies have been considered comparable enough that they were treated in a similar fashion. Older trials demonstrated that platinum-based chemotherapy improved overall survival in comparison to best supportive care (BSC) [1]. Modest gains in survival were observed in trials evaluating newer agents such as paclitaxel, vinorelbine or gemcitabine in combination with a platinum compound, although these agents all appeared to be similarly effective [3,7]. During the last decade, evidence emerged supporting a number of systemic treatment options for second-line therapy of NSCLC. Docetaxel was initially shown to improve survival in comparison to BSC [4] and subsequently pemetrexed was proven to be non-inferior to docetaxel [8]. More recently, second or third-line therapy with erlotinib, a tyrosine kinase inhibitor (TKI) of the epidermal growth factor receptor (EGFR), was shown to improve survival in patients not suitable for further chemotherapy [9].
These agents all found their way into routine treatment algorithms of patients with advanced NSCLC [10,11]. However, the observed benefits were modest and it was clear that not all patients derived benefit from treatment. As such, physicians used clinical characteristics such as disease stage, weight loss, co-morbidity, performance status, and age to help in patient selection for treatment [12,13,14]. Guidelines from the American Society of Clinical Oncology (ASCO) suggested the use of single-agent rather than doublet chemotherapy in elderly patients or those with poor performance status [15]. These recommendations though, have been put into question because of recent data showing that the elderly derive a similar benefit from treatment with a platinum doublet [16].
It is clear that this traditional approach of treating all patients with advanced NSCLC in the same manner has limitations. The emerging knowledge about molecular pathways important in the development and growth of NSCLC, as well as the identification of molecularly targeted therapies has highlighted the need for better mechanisms to identify which patients will benefit from treatments and to avoid exposing other patients to unnecessary toxicities.

3. Personalized Approaches to the Treatment of NSCLC

Personalizing treatment is not a new concept. As discussed above, physicians routinely use patient and clinical characteristics to provide an individual patient with the greatest chance of benefit and least likelihood of harm. However, the National Cancer Institute defines personalized medicine as “A form of medicine that uses information about a person’s genes, proteins, and environment to prevent, diagnose, and treat disease” [17]. This definition has become increasingly important because it provides a conceptual framework in which to discuss new targeted therapies that require both careful patient selection and the need for biomarkers to guide selection of therapy.

3.1. The Impact of Histology on Treatment Decisions

Trials have shown that many chemotherapeutic regimens work equally well [3]. Platinum-doublets in combination with paclitaxel, docetaxel, vinorelbine or gemcitabine all demonstrate similar response rates, time to progression and overall survival. Retrospective analyses of data from multiple NSCLC clinical trials performed by the Southwest Oncology Group (SWOG) demonstrated no differential effect of histology on either progression free or overall survival [18]. As a result histology was not routinely used in older treatment algorithms.
More recent data, using newer systemic therapies, have convincingly demonstrated that histology is predictive of either benefit or toxicity from treatment and that accurate histological subtyping should be performed for all NSCLC specimens [19]. A retrospective analysis of the JMEI trial of second-line chemotherapy with docetaxel or pemetrexed demonstrated a differential effect from histology. Patients with non-squamous histology treated with pemetrexed had improved overall survival compared to patients receiving docetaxel (hazard ratio (HR) 0.82 vs. 1.40, interaction test (int) p = 0.04). The opposite effect was observed for patients with squamous histology [20]. A prospective analysis of the first-line trial comparing cisplatin plus gemcitabine (a routinely used standard) with cisplatin plus pemetrexed showed a similar predictive effect from histology [21]. The combination of cisplatin-pemetrexed resulted in superior survival in patients with adenocarcinoma or large cell carcinoma (HR 0.84 vs. 1.23, int p = 0.002), but that cisplatin-gemcitabine was superior in patients with squamous cell carcinoma (SCC) [21]. These findings are supported by in vitro data examining the expression of thymidylate synthase (TS), the principal target of pemetrexed [22]. Ceppi et al. examined TS expression in resected NSCLC samples [22]. They found higher TS expression in squamous cancers suggesting a mechanism for the relative resistance of squamous cancers to pemetrexed.
Interestingly, pemetrexed is not the only systemic therapy for NSCLC that has shown a differential effect on outcomes. The development of bevacizumab, a monoclonal antibody targeting the vascular endothelial growth factor receptor (VEGFR), was limited to patients with non-squamous histology. In a randomized phase II trial, patients with SCC treated with bevacizumab experienced an increased risk of life threatening hemoptysis that was not seen in other histologies [23]. This led to the exclusion of bevacizumab from treatment algorithms for NSCLC patients with SCC histology. Analysis of the subsequent randomized phase III trial of carboplatin, paclitaxel with or without bevacizumab demonstrated that patients with adenocarcinoma had the greatest survival benefit from bevacizumab [24].

3.2. Molecular Profiling of NSCLC

The reasons why histologic subtypes of NSCLC may differ in prognosis and response to treatment may lie in fundamental differences in the molecular profiles that drive their respective proliferation. Adenocarcinoma and SCC are the best understood subtypes since they are the most common. Results of detailed molecular analysis of adenocarcinomas show evidence of driver mutations in up to 60% of samples. The most common abnormality in adenocarcinomas is mutation of the Kirsten rat sarcoma gene (KRAS), found in 25% of samples. Driver mutations with existing therapies include mutations of EGFR in 23% and translocations of the anaplastic lymphoma kinase (ALK) gene in 6% [25]. Recently, rearrangement of the c-ros oncogene 1 (ROS1) gene has also been shown to be a driver mutation in 1%–2% of NSCLC patients [26]. These mutations all appear to occur in a mutually exclusive manner and the actionable mutations appear more often in younger patients and never smokers [27].
In contrast to adenocarcinoma, EGFR mutations and ALK translocations do not appear to occur in SCC of the lung [28]. Molecular abnormalities in SCC involve amplification of the fibroblast growth factor receptor 1 (FGFR1) gene in up to 22% of patients and occasional mutations in the phosphoinositide-3-kinase catalytic alpha polypeptide (PIK3CA) gene and v-akt murine thymoma viral oncogene homolog 1 (AKT1) gene [28,29]. Targeted therapies for these molecular abnormalities are under evaluation.

3.3. Treatment Directed by KRAS Mutation

KRAS is the most common molecular abnormality in NSCLC, but to date there are no specific therapies for patients with KRAS mutations. KRAS mutations are felt to be a weak negative prognostic factor [19]. A meta-analysis of 28 NSCLC trials, including 1463 patients with adenocarcinoma, showed poorer overall survival in KRAS mutated patients, with a HR of 1.59 (1.26–2.02) [30]. However, uncertainty exists about the predictive value of KRAS mutations. KRAS mutations do not appear to consistently predict benefit from adjuvant chemotherapy, although recent data suggest that certain KRAS mutations may be associated with a lack of benefit [31]. Conflicting information exists about the ability of KRAS mutations to predict benefit from EGFR directed therapy. Data from the NCIC BR.21 trial showed worse survival for patients with KRAS mutations [32]. However, multiple other trials have failed to demonstrate any differential effect according to KRAS status. As such there is insufficient evidence to use KRAS status in NSCLC treatment algorithms [19].

3.4. EGFR Directed Therapy

The NCIC BR.21 trial of erlotinib versus placebo was the first trial of a molecularly targeted agent, demonstrating improved survival for NSCLC patients [9]. This trial showed a statistically significant improvement in median survival from 4.7 to 6.7 months (HR 0.70, p < 0.001), in an unselected population of NSCLC patients who had progressed after cytotoxic chemotherapy. Higher response rates and longer survival were observed in patients with increased EGFR protein expression, or increased EGFR gene copy number; however, there were no significant treatment interactions [33]. Multivariate analysis could not identify any subgroup that failed to benefit from therapy with erlotinib.
Nevertheless it was clear that certain patient subgroups-females, light/never smokers, patients with adenocarcinoma or Asian ethnicity, were more likely to respond to therapy with an EGFR TKI. In 2004, two groups separately identified activating mutations of the EGFR gene and their association with increased likelihood of response to EGFR TKI therapy [34,35]. Subsequent trials have reinforced that activating mutations of the EGFR gene are predictive of greater benefit from EGFR directed therapy [19].
The Iressa Pan-Asia Study (IPASS) trial randomized Asian never or light smokers with adenocarcinoma histology to carboplatin and paclitaxel chemotherapy, or gefitinib [36]. The study showed an improvement in progression-free survival (PFS) (HR 0.74, 95%CI 0.65–0.85). This study highlighted the importance of EGFR mutation status. Patients known to have an EGFR mutation had significant improvement in PFS from first-line gefitinib (HR 0.48, 95%CI 0.36–0.64). However, EGFR wild type patients receiving gefitinib had shorter PFS (HR 2.85, 95%CI 2.05–3.98). No significant differences were observed in overall survival, likely due to a high rate of cross over in the second line [37]. Findings from the first-SIGNAL trial lend further support to the predictive value of EGFR mutation status for first-line EGFR directed therapy [38].
Multiple trials have now shown superior PFS for first-line EGFR TKIs in EGFR mutation positive patients (Table 1). The first of these trials published was the West Japan Thoracic Oncology Group (WJTOG) 3405 study. This trial randomized chemotherapy naïve Japanese patients with EGFR mutation positive NSCLC to cisplatin plus docetaxel or gefitinib. Similar to the IPASS trial, it showed an improvement in PFS with gefitinib (HR 0.49, 95%CI 0.37–0.71), but no improvement in OS [39]. The European Randomized Trial of Tarceva vs. Chemotherapy (EURTAC) was the first trial to randomize patients from outside of Asia. This trial randomized patients from France, Italy, and Spain, to either erlotinib or a platinum doublet and demonstrated a similar improvement in PFS (HR 0.37, 95%CI 0.25–0.54) in favor of erlotinib [40]. Finally, the LUX-Lung 3 trial showed that a third EGFR inhibitor, afatinib, improves PFS in comparison to platinum-based chemotherapy (HR 0.58, 95%CI 0.43–0.78) [41].
Rates of Grade 3–5 toxicity reported in trials for the first line use of EGFR inhibitors are listed in Table 2. It is apparent that severe toxicity from EGFR inhibitor therapy is consistently less common than with cytotoxic chemotherapy and that treatment related mortality is a rare event. The main toxicities with EGFR inhibitors are rash, diarrhea, and elevation of liver enzymes, while common toxicities in those receiving cytotoxic chemotherapy are neutropenia, anemia, nausea/vomiting, fatigue, and thrombocytopenia. Discontinuation of therapy due to adverse events was also less common in patients receiving EGFR inhibitors (13% vs. 23%) [40]. Risk of toxicity, therefore, does not seem to be a barrier to adoption of more personalized therapy.
Table
Table 1. Summary of first-line trials of Epidermal Growth Factor Receptor (EGFR) tyrosine kinase inhibitor (TKI) versus chemotherapy.
Table 1. Summary of first-line trials of Epidermal Growth Factor Receptor (EGFR) tyrosine kinase inhibitor (TKI) versus chemotherapy.
TrialTreatmentPopulationRRPFS (m)PFS (HR)OS (m)QoL
IPASS [36]Gef vs. Cb/PacMut+71% vs . 47% 0.4818.8 vs. 17.4 Jpm 02 00077 i001
Mut-1% vs . 23%2.85
First Signal [38]Gef vs. Cis/GemMut+85% vs . 37% 0.6122.3 vs. 22.9 Jpm 02 00077 i001
Mut-26% vs . 52%1.52
NEJ002 [42]Gef vs. Cb/PacMut+74% vs. 31%10.8 vs. 5.40.3030.5 vs. 23.6 Jpm 02 00077 i001
WJTOG 3405 [39]Gef vs. Cis/DocMut+62% vs. 32%9.2 vs. 6.30.49NRNR
Optimal [43]Erl vs. Cb/GemMut+83% vs. 36%13.1 vs. 4.60.16NRNR
EURTAC [40]Erl vs. plt doubMut+58% vs. 15%9.7 vs. 5.20.3719.3 vs. 19.5NR
LUX-LUNG 3[41]Afa vs. Cis/PemMut+56% vs. 23%11.1 vs. 6.90.58NR Jpm 02 00077 i001
Gef–gefitinib; Erl–erlotinib; Afa–afatinib; Cb–carboplatin; Cis–cisplatin; Pac–paclitaxel; Gem–gemcitabine; Doc–docetaxel; plat doub–platinum doublet; Pem–pemetrexed; NR–not reported; QoL–quality of life; Jpm 02 00077 i001–QoL better for gefitinib; m–months; HR–hazard ratio; RR–response rate; PFS–Progression Free Survival; OS–overall survival.
Table
Table 2. Summary of toxicity in first-line trials of EGFR Inhibitors.
Table 2. Summary of toxicity in first-line trials of EGFR Inhibitors.
TrialTreatmentOverallGrade 5
Grade 3-5Toxicity
TKIChemoTKIChemo
IPASS [36]Gef vs. Cb/Pac28.7%61%3.8%2.7%
First Signal [38]Gef vs. Cis/Gem28.9%68%1.3%0.7%
NEJ002 [42]Gef vs. Cb/Pac41.2%71.7%0.9%0%
WJTOG 3405 [39]Gef vs. Cis/DocNRNR1.1%0%
Optimal [43]Erl vs. Cb/Gem17%65%0%0%
EURTAC [40]Erl vs. plt doub45%67%1%2%
LUX-LUNG 3 [41]Afa vs. Cis/Pem60.7%56.8%1.7%0%
Gef–gefitinib; Erl–erlotinib; Afa–afatinib; Cb–carboplatin; Cis–cisplatin; Pac–paclitaxel; Gem–gemcitabine; Doc–docetaxel; plat doub–platinum doublet; Pem–pemetrexed; NR–not reported; TKI–tyrosine kinase inhibitor; Chemo–cytotoxic chemotherapy.
It is apparent from these multiple trials that the preferred first-line therapy for NSCLC patients known to have EGFR mutations is an EGFR TKI. The data also stress the importance of testing for the presence of mutations, rather than using clinical characteristics to predict mutation status.

3.5. Other Molecularly Targeted Therapy

Two additional molecular abnormalities have been shown to predict response to a molecularly targeted agent, crizotinib. Translocations of the echinoderm microtubule-associated protein-like 4 (EML4)-ALK gene occur in 4%–7% of lung adenocarcinomas. A phase I trial of 82 patients with EML4-ALK translocation positive NSCLC reported a 57% objective response rate to crizotinib, with an additional 33% of patients showing stable disease [44]. Subsequent analysis of the same patients showed a 2-year overall survival of 54% [45]. Translocations of the ROS1 gene also appear predictive of response to crizotinib [46]. These mutations occur in only 1%–2% of patients, but responses were observed in 7 of 13 patients (54%) with ROS1 rearrangements treated with crizotinib.
As driver mutations continue to emerge, identification of appropriate patients to receive molecularly targeted therapy can only become more important, especially when one considers the high cost of the medications.

4. Challenges to Implementing Personalized Treatment Approaches for the Treatment of NSCLC

The increasingly complex treatment algorithms arising as a result of molecularly driven treatments can be a challenge to implement in a nationally funded healthcare system where approval, funding, and implementation of new therapies may occur slowly. A new therapy must overcome several hurdles prior to implementation. First, there must be sufficient evidence of efficacy for the new treatment as summarized above. Secondly, toxicity must be manageable. Third, the cost-effectiveness of the new therapy must fall within the bounds acceptable by the country. Finally, one must be able to identify which patients are likely to benefit and which should not receive the novel treatment. Significant barriers to implementation may arise from these latter concepts.

4.1. Cost-Effectiveness

Intuitively, testing for EGFR mutation status improves the cost effectiveness of using EGFR TKIs in the first line by avoiding the cost of medication in patients without the appropriate molecular profile. In patients with an EGFR mutation, conflicting data on cost effectiveness of first-line therapy of EGFR TKIs have been reported. These findings seem to be most affected by the price level of the drug and what cost level each country considers “cost-effective”. The Pharmaceutical Benefits Advisory Committee in Australia determined that first-line therapy with gefitinib for NSCLC patients with EGFR mutated tumors was cost-effective, with an incremental cost effectiveness ratio (ICER) of $15,000–$45,000 per quality adjusted life year (QALY) gained [47]. Using 2010 average exchange rates, this converts to US dollar (USD) $13,227–$39,682 per QALY [48]. An analysis from the National Institute for Health and Clinical Excellence (NICE) in the United Kingdom determined an ICER of £35,700 per QALY (USD $53,046/QALY), which was not deemed to be cost effective [49]. Subsequent implementation was based on a confidential fixed price negotiated with the pharmaceutical company [50]. A similar discussion and recommendation occurred with erlotinib [51]. Finally, an Ontario Health Technology Assessment of EGFR testing in NSCLC patients calculated an ICER of $81,000 per QALY (USD $75,700/QALY). They stated that a decision on whether this level was cost effective depended on the province’s willingness to pay [52]. Based on the variation in the above evaluations, cost-effectiveness remains as a potential barrier to implementation of these targeted therapies, but decrease in costs of testing and drug price negotiation can help overcome this barrier.

4.2. Biomarker Testing and Patient Identification

Given the improved efficacy and toxicity profiles of EGFR and ALK directed therapies, physicians have been eager to implement these treatments into routine practice. However, use of these agents is limited to patient whose tumors are known to carry one of the previously described molecular abnormalities, which represents a small proportion of the NSCLC population. This highlights the need for molecular testing to identify the appropriate patients. Guidelines from the American Society of Clinical Oncology (ASCO) and a European consensus workshop now recommend testing for EGFR mutation in the tumor of any patient being considered for first line TKI treatment [53,54]. A Canadian consensus conference recommended routine testing for EGFR mutations in patients with advanced NSCLC and non-squamous histology [19]. These recommendations did not include ALK testing, as there was no approved therapy at that time. However, with the approval and licensing of crizotinib in the United States and Canada, ALK testing should also be routinely considered in patients with lung adenocarcinomas. Various challenges exist in the implementation of routine biomarker testing.

4.3. Adequate Tissue Samples

A significant barrier to biomarker testing is the availability of an adequate amount of tissue due to increasing diagnostic demands and declining amounts of tissue delivered per patient [55]. Up to 80% of NSCLC patients with advanced disease will only have tissue from small biopsies or cytology [56] limiting the ability to perform additional tests. There is a strong and pressing need to improve the quality of diagnostic lung cancer samples. Thunnissen et al. have proposed methods for maximizing the yield of transbronchial and transthoracic biopsy, while others have reported improved sample yields with the presence of a cytopathologist at the time of biopsy [55,57]. Unfortunately, some of these measures to improve biopsy yield are not feasible to implement in smaller centers. Community hospitals may have a particularly difficult time achieving adequate tissue samples because they may lack thoracic surgeons to perform mediastinoscopy or thorascopically guided tissue sampling. To achieve an adequate sample could then require referral to a larger facility, which results in greater costs to the healthcare system, delays in treatment, and travels costs for the patient. Successfully collecting adequate amounts of tissue from all patients is a substantial obstacle to implementing standardized molecular testing for patients with NSCLC.

4.4. Workload of Specialists

The need for improved diagnostic lung cancer samples has major resource implications in a national healthcare system affecting thoracic surgeons, respirologists, interventional radiologists and pathologists. Limited numbers of specialists and finite operating room time make it difficult to scale up the number of procedures to collect adequate tissue. As noted above, community hospitals may also have limited access to such physicians, leading to referral. This problem is only compounded by a changing paradigm in which repeat biopsy is required at the time of disease progression to determine if there has been a change in molecular phenotype. While the data supporting re-biopsy on progression is sparse, heterogeneity in mutation profile between the primary tumor and metastases has been demonstrated [58]. Much more research is needed in this area, especially since there is a theoretical risk to patients inherent in either more extensive surgical procedures or a larger number of biopsy attempts.

4.5. Reliability of Subtyping

It is clear that the molecular profiles of squamous and non-squamous cancers differ greatly. Routine molecular testing to date has been limited to patients with non-squamous histology. However, up to 40% of NSCLC cases cannot be reliably subtyped and are labeled NSCLC-NOS [59,60]. Additionally, there is poor interobserver reliability in subtyping lung cancer samples [61,62]. Routine use of immunohistochemical (IHC) testing is recommended to more accurately classify diagnostic lung cancer samples, although this requires considerable education of the pathology community and does have workload implications [56,63].

4.6. Choice of Test

Once the above issues are overcome, there remain some challenges around testing of the actual biomarker. Testing for the EGFR mutation is the best established of these biomarkers due to the availability of EGFR TKIs. There are at least thirteen different methodologies that can be used to test for an EGFR mutation, all with different costs, technical quirks, required expertise, and equipment [64]. For example, some techniques require 25% of DNA to be mutated and can only detect known mutations while others require the mutation to be present in only 0.1% of DNA and can detect known or new mutations. All are fundamentally based on either polymerase chain reaction (PCR) platforms or direct sequencing. Given the above variation in sensitivity, standardized methods for testing are needed to ensure reliability and validity of results.
Adding to the complexity described with EGFR testing is that testing for biomarkers like EML4-ALK translocation and ROS1 translocation requires fluorescence in-situ hybridization (FISH). While this test is now widely used, it is labor intensive and is not performed to the necessary standard at all laboratories. Also, depending on the method of EGFR testing being used, the two tests may require different preparation and fixation of sample tissues. When differing modes of fixation and tissue preparation are coupled with the generally small samples received by pathologists, it creates a substantial challenge to establishing efficient algorithms for EGFR and EML4-ALK testing. While the collection of larger samples will undoubtedly improve some of this difficulty, protocols must still be established to guide molecular testing and the initial handling of samples. Physicians involved in sampling tissue, performing tests, interpreting tests, and treating patients must all be aware of these algorithms to minimize the need for re-biopsy and delays in treatment.

4.7. Funding

Treatment paradigms for NSCLC have evolved from a model applicable to all patients, to one in which treatment decisions are individualized based upon molecular testing of lung cancer samples. The challenge to implementation of personalized decision-making in lung cancer in a nationally funded healthcare system like Canada is the need to link funding for biomarker testing with drug funding. Different groups within Health Canada are responsible for approval of new pharmaceutical therapies and diagnostic tests [65]. This disconnect between funding of a drug and its predictive biomarker test resulted in a situation where there was no mechanism for mutation testing when gefitinib was approved for use in EGFR mutated patients. This disconnect in funding meant that there were very few labs capable of performing the molecular test, which therefore limited access to both the test and the drug. Even if labs had been able to reliably perform the molecular test, the lack of funding serves as a significant barrier. In fact, this scenario appeared when a pan-Canadian EGFR mutation-testing program was initially supported with funding from AstraZeneca Canada. There was rapid uptake of testing across the country, with approximately 250 tests per month performed [66]. When this program ended after 12 months, governmental funding was not yet in place and testing rates dropped to 50–100 tests per month. The testing rates before and after this program demonstrate the importance of ensuring that approval of drugs requiring a molecular test coincides with funding of the necessary investigation. When these two decisions remain disconnected, fewer patients are able to access these exciting and potentially life prolonging therapies. As a medical community we must attempt to streamline this process by insisting that decision-makers recognize the importance of funding diagnostic tests and ensuring that we commit research resources not only to the development of new drugs, but also towards the development, validation, and dissemination of effective biomarker assays.

5. Future Directions

There is considerable research effort ongoing in biomarker identification of NSCLC samples. In parallel to these research efforts, clinical trial programs have evolved to rationally evaluate molecularly targeted agents. With the development of new biomarkers and next generation sequencing it is possible that we will soon be able to test each patient’s malignancy for a range of markers using a single gene array, thereby conserving tissue, decreasing cost, and achieving the ultimate goals in personalized treatment of NSCLC. In order to achieve these goals in a national healthcare system, there is a need for governments to accept the changing paradigm, invest in technology and build capacity for molecular testing to facilitate the implementation of improved patient care.

Conflict of Interest

David Dawe has no conflicts of interest to declare. Peter Ellis declares honoraria for speaking and participation in advisory boards for Roche, AstraZeneca, Eli Lilly, and Boehringer-Ingelheim.

References

  1. Non-small cell lung cancer collaborative group. Chemotherapy in non-small cell lung cancer: A meta-analysis using updated data on individual patients from 52 randomised clinical trials. Br. Med. J. 1995, 311, 899–909. [Google Scholar] [CrossRef]
  2. Rapp, E.; Pater, J.L.; Willan, A.; Cormier, Y.; Murray, N.; Evans, W.K.; Hodson, D.I.; Clark, D.A.; Feld, R.; Arnold, A.M.; et al. Chemotherapy can prolong survival in patients with advanced non-small-cell lung cancer–report of a canadian multicenter randomized trial. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 1988, 6, 633–641. [Google Scholar]
  3. Schiller, J.H.; Harrington, D.; Belani, C.P.; Langer, C.; Sandler, A.; Krook, J.; Zhu, J.; Johnson, D.H. Comparison of four chemotherapy regimens for advanced non-small-cell lung cancer. N. Engl. J. Med. 2002, 346, 92–98. [Google Scholar]
  4. Shepherd, F.A.; Dancey, J.; Ramlau, R.; Mattson, K.; Gralla, R.; O’Rourke, M.; Levitan, N.; Gressot, L.; Vincent, M.; Burkes, R.; et al. Prospective randomized trial of docetaxel versus best supportive care in patients with non-small-cell lung cancer previously treated with platinum-based chemotherapy. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2000, 18, 2095–2103. [Google Scholar]
  5. Ciuleanu, T.; Brodowicz, T.; Zielinski, C.; Kim, J.H.; Krzakowski, M.; Laack, E.; Wu, Y.L.; Bover, I.; Begbie, S.; Tzekova, V.; et al. Maintenance pemetrexed plus best supportive care versus placebo plus best supportive care for non-small-cell lung cancer: A randomised, double-blind, phase 3 study. Lancet 2009, 374, 1432–1440. [Google Scholar]
  6. Fidias, P.M.; Dakhil, S.R.; Lyss, A.P.; Loesch, D.M.; Waterhouse, D.M.; Bromund, J.L.; Chen, R.; Hristova-Kazmierski, M.; Treat, J.; Obasaju, C.K.; et al. Phase iii study of immediate compared with delayed docetaxel after front-line therapy with gemcitabine plus carboplatin in advanced non-small-cell lung cancer. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2009, 27, 591–598. [Google Scholar]
  7. Kelly, K.; Crowley, J.; Bunn, P.A., Jr.; Presant, C.A.; Grevstad, P.K.; Moinpour, C.M.; Ramsey, S.D.; Wozniak, A.J.; Weiss, G.R.; Moore, D.F.; et al. Randomized phase iii trial of paclitaxel plus carboplatin versus vinorelbine plus cisplatin in the treatment of patients with advanced non--small-cell lung cancer: A southwest oncology group trial. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2001, 19, 3210–3218. [Google Scholar]
  8. Hanna, N.; Shepherd, F.A.; Fossella, F.V.; Pereira, J.R.; de Marinis, F.; von Pawel, J.; Gatzemeier, U.; Tsao, T.C.; Pless, M.; Muller, T.; et al. Randomized phase iii trial of pemetrexed versus docetaxel in patients with non-small-cell lung cancer previously treated with chemotherapy. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2004, 22, 1589–1597. [Google Scholar] [CrossRef]
  9. Shepherd, F.A.; Rodrigues Pereira, J.; Ciuleanu, T.; Tan, E.H.; Hirsh, V.; Thongprasert, S.; Campos, D.; Maoleekoonpiroj, S.; Smylie, M.; Martins, R.; et al. Erlotinib in previously treated non-small-cell lung cancer. N. Engl. J. Med. 2005, 353, 123–132. [Google Scholar]
  10. Noble, J.; Ellis, P.M.; Mackay, J.A.; Evans, W.K. Second-line or subsequent systemic therapy for recurrent or progressive non-small cell lung cancer: A systematic review and practice guideline. J. Thorac. Oncol.: Off. Publ. Int. Assoc. Study Lung Cancer 2006, 1, 1042–1058. [Google Scholar]
  11. Goffin, J.; Lacchetti, C.; Ellis, P.M.; Ung, Y.C.; Evans, W.K. First-line systemic chemotherapy in the treatment of advanced non-small cell lung cancer: A systematic review. J. Thorac. Oncol.: Off. Publ. Int. Assoc. Study Lung Cancer 2010, 5, 260–274. [Google Scholar]
  12. Asmis, T.R.; Ding, K.; Seymour, L.; Shepherd, F.A.; Leighl, N.B.; Winton, T.L.; Whitehead, M.; Spaans, J.N.; Graham, B.C.; Goss, G.D. Age and comorbidity as independent prognostic factors in the treatment of non small-cell lung cancer: A review of national cancer institute of canada clinical trials group trials. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2008, 26, 54–59. [Google Scholar]
  13. Firat, S.; Byhardt, R.W.; Gore, E. The effects of comorbidity and age on rtog study enrollment in stage iii non-small cell lung cancer patients who are eligible for rtog studies. Int. J. Radiat. Oncol. Biol. Phys. 2010, 78, 1394–1399. [Google Scholar]
  14. Gronberg, B.H.; Sundstrom, S.; Kaasa, S.; Bremnes, R.M.; Flotten, O.; Amundsen, T.; Hjelde, H.H.; Plessen, C.; Jordhoy, M. Influence of comorbidity on survival, toxicity and health-related quality of life in patients with advanced non-small-cell lung cancer receiving platinum-doublet chemotherapy. Eur. J. Cancer 2010, 46, 2225–2234. [Google Scholar] [CrossRef]
  15. Azzoli, C.G.; Giaccone, G.; Temin, S. American society of clinical oncology clinical practice guideline update on chemotherapy for stage iv non-small-cell lung cancer. J. Oncol. Pract. Am. Soc. Clin. Oncol. 2010, 6, 39–43. [Google Scholar]
  16. Quoix, E.; Zalcman, G.; Oster, J.P.; Westeel, V.; Pichon, E.; Lavole, A.; Dauba, J.; Debieuvre, D.; Souquet, P.J.; Bigay-Game, L.; et al. Carboplatin and weekly paclitaxel doublet chemotherapy compared with monotherapy in elderly patients with advanced non-small-cell lung cancer: Ifct-0501 randomised, phase 3 trial. Lancet 2011, 378, 1079–1088. [Google Scholar] [CrossRef]
  17. National Institutes of Health. National Cancer Institute Dictionary—Personalized medicine. Available online: http://www.cancer.gov/dictionary?CdrID=561717 (accessed on 4 July 2012).
  18. Chansky, K.; Mack, P.C.; Crowley, J.; Lara, P.N., Jr.; Hirsch, F.R.; Franklin, W.A.; Gandara, D. Chemotherapy outcomes by histologic subtype of non-small cell lung cancer (nsclc): Analysis of the swog database for anti-microtubule-platinum therapy. J. Thorac. Oncol. 2009, 4 suppl 1, S326. [Google Scholar] [CrossRef]
  19. Ellis, P.M.; Blais, N.; Soulieres, D.; Ionescu, D.N.; Kashyap, M.; Liu, G.; Melosky, B.; Reiman, T.; Romeo, P.; Shepherd, F.A.; et al. A systematic review and canadian consensus recommendations on the use of biomarkers in the treatment of non-small cell lung cancer. J. Thorac. Oncol.: Off. Publ. Int. Assoc. Study Lung Cancer 2011, 6, 1379–1391. [Google Scholar]
  20. Scagliotti, G.; Hanna, N.; Fossella, F.; Sugarman, K.; Blatter, J.; Peterson, P.; Simms, L.; Shepherd, F.A. The differential efficacy of pemetrexed according to nsclc histology: A review of two phase iii studies. Oncologist 2009, 14, 253–263. [Google Scholar] [CrossRef]
  21. Scagliotti, G.V.; Parikh, P.; von Pawel, J.; Biesma, B.; Vansteenkiste, J.; Manegold, C.; Serwatowski, P.; Gatzemeier, U.; Digumarti, R.; Zukin, M.; et al. Phase iii study comparing cisplatin plus gemcitabine with cisplatin plus pemetrexed in chemotherapy-naive patients with advanced-stage non-small-cell lung cancer. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2008, 26, 3543–3551. [Google Scholar]
  22. Ceppi, P.; Volante, M.; Saviozzi, S.; Rapa, I.; Novello, S.; Cambieri, A.; Lo Iacono, M.; Cappia, S.; Papotti, M.; Scagliotti, G.V. Squamous cell carcinoma of the lung compared with other histotypes shows higher messenger rna and protein levels for thymidylate synthase. Cancer 2006, 107, 1589–1596. [Google Scholar] [CrossRef]
  23. Johnson, D.H.; Fehrenbacher, L.; Novotny, W.F.; Herbst, R.S.; Nemunaitis, J.J.; Jablons, D.M.; Langer, C.J.; deVore, R.F., 3rd; Gaudreault, J.; Damico, L.A.; et al. Randomized phase ii trial comparing bevacizumab plus carboplatin and paclitaxel with carboplatin and paclitaxel alone in previously untreated locally advanced or metastatic non-small-cell lung cancer. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2004, 22, 2184–2191. [Google Scholar] [CrossRef]
  24. Sandler, A.; Yi, J.; Dahlberg, S.; Kolb, M.M.; Wang, L.; Hambleton, J.; Schiller, J.; Johnson, D.H. Treatment outcomes by tumor histology in eastern cooperative group study e4599 of bevacizumab with paclitaxel/carboplatin for advanced non-small cell lung cancer. J. Thorac. Oncol.: Off. Publ. Int. Assoc. Study Lung Cancer 2010, 5, 1416–1423. [Google Scholar]
  25. Kris, M.G.; Johnson, B.E.; Kwiatkowski, D.J.; Iafrate, A.J.; Wistuba, I.I.; Aronson, S.L.; Engelman, J.A.; Shyr, Y.; Khuri, F.R.; Rudin, C.M.; et al. Identification of driver mutations in tumor specimens from 1,000 patients with lung adenocarcinoma: The NCI’S Lung Cancer Mutation Consortium (LCMC). Proceedings of the ASCO Meeting Abstracts, J. Clin. Oncol. 2011; 29, suppl, abstr CRA7506. [Google Scholar]
  26. Bergethon, K.; Shaw, A.T.; Ou, S.H.; Katayama, R.; Lovly, C.M.; McDonald, N.T.; Massion, P.P.; Siwak-Tapp, C.; Gonzalez, A.; Fang, R.; et al. Ros1 rearrangements define a unique molecular class of lung cancers. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2012, 30, 863–870. [Google Scholar] [CrossRef]
  27. Paik, P.K.; Johnson, M.L.; D’Angelo, S.P.; Sima, C.S.; Ang, D.; Dogan, S.; Miller, V.A.; Ladanyi, M.; Kris, M.G.; Riely, G.J. Driver mutations determine survival in smokers and never-smokers with stage iiib/iv lung adenocarcinomas. Cancer 2012. [Google Scholar] [CrossRef]
  28. Rekhtman, N.; Paik, P.K.; Arcila, M.E.; Tafe, L.J.; Oxnard, G.R.; Moreira, A.L.; Travis, W.D.; Zakowski, M.F.; Kris, M.G.; Ladanyi, M. Clarifying the spectrum of driver oncogene mutations in biomarker-verified squamous carcinoma of lung: Lack of egfr/kras and presence of pik3ca/akt1 mutations. Clin. Cancer Res.:Off. J. Am. Assoc. Cancer Res. 2012, 18, 1167–1176. [Google Scholar] [CrossRef]
  29. Weiss, J.; Sos, M.L.; Seidel, D.; Peifer, M.; Zander, T.; Heuckmann, J.M.; Ullrich, R.T.; Menon, R.; Maier, S.; Soltermann, A.; et al. Frequent and focal fgfr1 amplification associates with therapeutically tractable fgfr1 dependency in squamous cell lung cancer. Sci. Transl. Med. 2010, 2. [Google Scholar] [CrossRef]
  30. Mascaux, C.; Iannino, N.; Martin, B.; Paesmans, M.; Berghmans, T.; Dusart, M.; Haller, A.; Lothaire, P.; Meert, A.P.; Noel, S.; et al. The role of ras oncogene in survival of patients with lung cancer: A systematic review of the literature with meta-analysis. Brit. J. Cancer 2005, 92, 131–139. [Google Scholar] [CrossRef]
  31. Cuffe, S.; Bourredjem, A.; Graziano, S.; Pignon, J.P.; Domerg, C.; Ezzalfani, M.; Seymour, L.; Strevel, E.; Burkes, R.; Capelletti, M.; et al. A pooled exploratory analysis of the effect of tumor size and kras mutations on survival benefit from adjuvant platinum-based chemotherapy in node-negative non-small cell lung cancer. J. Thorac. Oncol.: Off. Publ. Int. Assoc. Study Lung Cancer 2012, 7, 963–972. [Google Scholar]
  32. Zhu, C.Q.; da Cunha Santos, G.; Ding, K.; Sakurada, A.; Cutz, J.C.; Liu, N.; Zhang, T.; Marrano, P.; Whitehead, M.; Squire, J.A.; et al. Role of kras and egfr as biomarkers of response to erlotinib in national cancer institute of canada clinical trials group study br.21. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2008, 26, 4268–4275. [Google Scholar]
  33. Tsao, M.S.; Sakurada, A.; Cutz, J.C.; Zhu, C.Q.; Kamel-Reid, S.; Squire, J.; Lorimer, I.; Zhang, T.; Liu, N.; Daneshmand, M.; et al. Erlotinib in lung cancer–molecular and clinical predictors of outcome. N. Engl. J. Med. 2005, 353, 133–144. [Google Scholar]
  34. Lynch, T.J.; Bell, D.W.; Sordella, R.; Gurubhagavatula, S.; Okimoto, R.A.; Brannigan, B.W.; Harris, P.L.; Haserlat, S.M.; Supko, J.G.; Haluska, F.G.; et al. Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. N. Engl. J. Med. 2004, 350, 2129–2139. [Google Scholar] [CrossRef]
  35. Paez, J.G.; Janne, P.A.; Lee, J.C.; Tracy, S.; Greulich, H.; Gabriel, S.; Herman, P.; Kaye, F.J.; Lindeman, N.; Boggon, T.J.; et al. Egfr mutations in lung cancer: Correlation with clinical response to gefitinib therapy. Science 2004, 304, 1497–1500. [Google Scholar] [CrossRef]
  36. Mok, T.S.; Wu, Y.L.; Thongprasert, S.; Yang, C.H.; Chu, D.T.; Saijo, N.; Sunpaweravong, P.; Han, B.; Margono, B.; Ichinose, Y.; et al. Gefitinib or carboplatin-paclitaxel in pulmonary adenocarcinoma. N. Engl. J. Med. 2009, 361, 947–957. [Google Scholar] [CrossRef]
  37. Fukuoka, M.; Wu, Y.L.; Thongprasert, S.; Sunpaweravong, P.; Leong, S.S.; Sriuranpong, V.; Chao, T.Y.; Nakagawa, K.; Chu, D.T.; Saijo, N.; et al. Biomarker analyses and final overall survival results from a phase iii, randomized, open-label, first-line study of gefitinib versus carboplatin/paclitaxel in clinically selected patients with advanced non-small-cell lung cancer in asia (ipass). J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2011, 29, 2866–2874. [Google Scholar]
  38. Han, J.Y.; Park, K.; Kim, S.W.; Lee, D.H.; Kim, H.Y.; Kim, H.T.; Ahn, M.J.; Yun, T.; Ahn, J.S.; Suh, C.; et al. First-signal: First-line single-agent iressa versus gemcitabine and cisplatin trial in never-smokers with adenocarcinoma of the lung. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2012, 30, 1122–1128. [Google Scholar] [CrossRef]
  39. Mitsudomi, T.; Morita, S.; Yatabe, Y.; Negoro, S.; Okamoto, I.; Tsurutani, J.; Seto, T.; Satouchi, M.; Tada, H.; Hirashima, T.; et al. Gefitinib versus cisplatin plus docetaxel in patients with non-small-cell lung cancer harbouring mutations of the epidermal growth factor receptor (wjtog3405): An open label, randomised phase 3 trial. Lancet Oncol. 2010, 11, 121–128. [Google Scholar] [CrossRef]
  40. Rosell, R.; Carcereny, E.; Gervais, R.; Vergnenegre, A.; Massuti, B.; Felip, E.; Palmero, R.; Garcia-Gomez, R.; Pallares, C.; Sanchez, J.M.; et al. Erlotinib versus standard chemotherapy as first-line treatment for european patients with advanced egfr mutation-positive non-small-cell lung cancer (eurtac): A multicentre, open-label, randomised phase 3 trial. Lancet Oncol. 2012, 13, 239–246. [Google Scholar] [CrossRef]
  41. Yang, J.C.-H.; Schuler, M.H.; Yamamoto, N.; O’Byrne, K.J.; Hirsh, V.; Mok, T.; Geater, S.L.; Orlov, S.V.; Tsai, C.-M.; Boyer, M.J.; et al. Lux-lung 3: A randomized, open-label, phase iii study of afatinib versus pemetrexed and cisplatin as first-line treatment for patients with advanced adenocarcinoma of the lung harboring egfr-activating mutations. Proceedings of the ASCO Meeting Abstracts, J. Clin. Oncol. 2012; 30, suppl, abstr LBA7500. [Google Scholar]
  42. Maemondo, M.; Inoue, A.; Kobayashi, K.; Sugawara, S.; Oizumi, S.; Isobe, H.; Gemma, A.; Harada, M.; Yoshizawa, H.; Kinoshita, I.; et al. Gefitinib or chemotherapy for non-small-cell lung cancer with mutated egfr. N. Engl. J. Med. 2010, 362, 2380–2388. [Google Scholar] [CrossRef]
  43. Zhou, C.; Wu, Y.L.; Chen, G.; Feng, J.; Liu, X.Q.; Wang, C.; Zhang, S.; Wang, J.; Zhou, S.; Ren, S.; et al. Erlotinib versus chemotherapy as first-line treatment for patients with advanced egfr mutation-positive non-small-cell lung cancer (optimal, ctong-0802): A multicentre, open-label, randomised, phase 3 study. Lancet Oncol. 2011, 12, 735–742. [Google Scholar]
  44. Kwak, E.L.; Bang, Y.J.; Camidge, D.R.; Shaw, A.T.; Solomon, B.; Maki, R.G.; Ou, S.H.; Dezube, B.J.; Janne, P.A.; Costa, D.B.; et al. Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer. N. Engl. J. Med. 2010, 363, 1693–1703. [Google Scholar]
  45. Shaw, A.T.; Yeap, B.Y.; Solomon, B.J.; Riely, G.J.; Iafrate, A.J.; Shapiro, G.; Costa, D.B.; Butaney, M.; Ou, S.I.; Maki, R.G.; et al. Impact of crizotinib on survival in patients with advanced, alk-positive nsclc compared with historical controls. Proceedings of the ASCO Meeting Abstracts, J. Clin. Oncol. 2011; 29, suppl, abstr e7507. [Google Scholar]
  46. Shaw, A.T.; Camidge, D.R.; Engelman, J.A.; Solomon, B.J.; Kwak, E.L.; Clark, J.W.; Salgia, R.; Shapiro, G.; Bang, Y.-J.; Tan, W.; et al. Clinical activity of crizotinib in advanced non-small cell lung cancer (nsclc) harboring ros1 gene rearrangement. Proceedings of the ASCO Meeting Abstracts, J. Clin. Oncol. 2012; 30, suppl, abstr e7508. [Google Scholar]
  47. Epidermal Growth Factor Receptor Testing and Access to PBS Listed Gefitinib—Reference 41; Medical Services Advisory Committee, Australian Government Department of Health and Ageing: Canberra, Australia, 2010.
  48. Internal Revenue Service. Yearly average currency exchange rates. Available online: http://www.irs.gov/Individuals/International-Taxpayers/Yearly-Average-Currency-Exchange-Rates (accessed on 15 August 2012).
  49. Brown, T.; Boland, A.; Bagust, A.; Oyee, J.; Hockenhull, J.; Dundar, Y.; Dickson, R.; Ramani, V.S.; Proudlove, C. Gefitinib for the first-line treatment of locally advanced or metastatic non-small cell lung cancer. Health Technol. Asses. 2010, 14, 71–79. [Google Scholar]
  50. Appraisal Committee. Gefitinib for the First-Line Treatment of Locally Advanced or Metastatic Non-Small Cell Lung Cancer—TA192; National Health Service; National Institute for Health and Clinical Excellence: London, UK, 2010. [Google Scholar]
  51. Appraisal Committee. Erlotinib for the First-Line Treatment of Locally Advanced or Metastatic Egfr-tk Mutation-Positive Non-Small Cell Lung Cancer—TA258; National Health Service; National Institute for Health and Clinical Excellence: London, UK, 2012. [Google Scholar]
  52. Medical Advisory Secretariat. Epidermal growth factor receptor (egfr) testing for prediction of response to egfr-targeted tyrosine kinase inhibitor (tki) drugs in patients with advanced non-small cell lung cancer: An evidence-based analysis. In Ontario Health Technology Assessment Series; Medical Advisory Secretariat: Toronto, ON, Canada, 2010; Volume 10, pp. 1–48. [Google Scholar]
  53. Pirker, R.; Herth, F.J.; Kerr, K.M.; Filipits, M.; Taron, M.; Gandara, D.; Hirsch, F.R.; Grunenwald, D.; Popper, H.; Smit, E.; et al. Consensus for egfr mutation testing in non-small cell lung cancer: Results from a european workshop. J. Thorac. Oncol.: Off. Publ. Int. Assoc. Study Lung Cancer 2010, 5, 1706–1713. [Google Scholar]
  54. Keedy, V.L.; Temin, S.; Somerfield, M.R.; Beasley, M.B.; Johnson, D.H.; McShane, L.M.; Milton, D.T.; Strawn, J.R.; Wakelee, H.A.; Giaccone, G. American society of clinical oncology provisional clinical opinion: Epidermal growth factor receptor (egfr) mutation testing for patients with advanced non-small-cell lung cancer considering first-line egfr tyrosine kinase inhibitor therapy. J. Clin. Oncol.: Off. J. Am. Soc. Clin. Oncol. 2011, 29, 2121–2127. [Google Scholar]
  55. Thunnissen, E.; Kerr, K.M.; Herth, F.J.; Lantuejoul, S.; Papotti, M.; Rintoul, R.C.; Rossi, G.; Skov, B.G.; Weynand, B.; Bubendorf, L.; et al. The challenge of nsclc diagnosis and predictive analysis on small samples. Practical approach of a working group. Lung Cancer 2012, 76, 1–18. [Google Scholar]
  56. Kerr, K.M. Personalized medicine for lung cancer: New challenges for pathology. Histopathology 2012, 60, 531–546. [Google Scholar] [CrossRef]
  57. Hsu, L.H.; Liu, C.C.; Ko, J.S. Education and experience improve the performance of transbronchial needle aspiration: A learning curve at a cancer center. Chest 2004, 125, 532–540. [Google Scholar] [CrossRef]
  58. Gerlinger, M.; Rowan, A.J.; Horswell, S.; Larkin, J.; Endesfelder, D.; Gronroos, E.; Martinez, P.; Matthews, N.; Stewart, A.; Tarpey, P.; et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N. Engl. J. Med. 2012, 366, 883–892. [Google Scholar]
  59. Thomas, J.S.; Lamb, D.; Ashcroft, T.; Corrin, B.; Edwards, C.W.; Gibbs, A.R.; Kenyon, W.E.; Stephens, R.J.; Whimster, W.F. How reliable is the diagnosis of lung cancer using small biopsy specimens? Report of a ukcccr lung cancer working party. Thorax 1993, 48, 1135–1139. [Google Scholar]
  60. Edwards, S.L.; Roberts, C.; McKean, M.E.; Cockburn, J.S.; Jeffrey, R.R.; Kerr, K.M. Preoperative histological classification of primary lung cancer: Accuracy of diagnosis and use of the non-small cell category. J. Clin. Pathol. 2000, 53, 537–540. [Google Scholar] [CrossRef]
  61. Burnett, R.A.; Howatson, S.R.; Lang, S.; Lee, F.D.; Lessells, A.M.; McLaren, K.M.; Nairn, E.R.; Ogston, S.; Robertson, A.J.; Simpson, J.G.; et al. Observer variability in histopathological reporting of non-small cell lung carcinoma on bronchial biopsy specimens. J. Clin. Pathol. 1996, 49, 130–133. [Google Scholar]
  62. Stang, A.; Pohlabeln, H.; Muller, K.M.; Jahn, I.; Giersiepen, K.; Jockel, K.H. Diagnostic agreement in the histopathological evaluation of lung cancer tissue in a population-based case-control study. Lung Cancer 2006, 52, 29–36. [Google Scholar] [CrossRef]
  63. Travis, W.D.; Brambilla, E.; Noguchi, M.; Nicholson, A.G.; Geisinger, K.R.; Yatabe, Y.; Beer, D.G.; Powell, C.A.; Riely, G.J.; van Schil, P.E.; et al. International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of lung adenocarcinoma. J. Thorac. Oncol.: Off. Publ. Int. Assoc. Study Lung Cancer 2011, 6, 244–285. [Google Scholar]
  64. Hirsh, V.; Melosky, B.; Goss, G.; Morris, D.; Morzycki, W. A personalized approach to treatment: Use of egfr tyrosine kinase inhibitors for the treatment of non-small-cell lung cancer in canada. Curr. Oncol. 2012, 19, 78–90. [Google Scholar]
  65. Biomarker tests. Personal communication, Health Canada—Bureau of Metabolism, Oncology and Reproductive Sciences: Ottawa, Ontario, Canada, 2012.
  66. Tsao, M.S.; Ionescu, D.; Chong, G.; Magliocco, A.M.; Soulieres, D.; Hwang, D.; Young, S.; Wei, C.; Bosdet, I.; Karsan, A.; et al. Population-based pan-canadian egfr-mutation testing program. J. Clin. Oncol. 2011, 29 suppl. abstr e18017. [Google Scholar]

Share and Cite

MDPI and ACS Style

Dawe, D.E.; Ellis, P.M. Challenges in Implementing Personalized Medicine for Lung Cancer within a National Healthcare System. J. Pers. Med. 2012, 2, 77-92. https://doi.org/10.3390/jpm2030077

AMA Style

Dawe DE, Ellis PM. Challenges in Implementing Personalized Medicine for Lung Cancer within a National Healthcare System. Journal of Personalized Medicine. 2012; 2(3):77-92. https://doi.org/10.3390/jpm2030077

Chicago/Turabian Style

Dawe, David E., and Peter M. Ellis. 2012. "Challenges in Implementing Personalized Medicine for Lung Cancer within a National Healthcare System" Journal of Personalized Medicine 2, no. 3: 77-92. https://doi.org/10.3390/jpm2030077

Article Metrics

Back to TopTop