KRAS mutations predict response to EGFR inhibitors
Introduction
Tumor cells become dependent on factors that encourage cell growth while inhibiting negative regulatory mechanisms [1]. This dependence may arise as a result of the selective advantages of somatic changes in tumors occurring through a variety of mechanisms at any step of the complex regulatory pathways controlling cell proliferation and survival. Indeed, increased signaling through any pathway can be caused by increasing the amount of ligand binding to the receptor (autocrine or paracrine stimulation), an increase in the numbers of receptors (gene amplification), or by constitutive activation of the receptor or an intermediate pathway member (through somatic gene mutation or translocation). In addition, other mechanisms exist for activating this pathway such as overexpression or mutations in the guanine nucleotide exchange factor family. The epidermal growth factor receptor (EGFR) is a transmembrane tyrosine kinase that signals through at least two parallel intracellular pathways to regulate cellular proliferation and survival [2]. One of these pathways, the MAP kinase pathway (MAPK), regulates the G1 checkpoint and controls cellular proliferation. The MAPK pathway transmits signals from the transmembrane receptor, EGFR, to the nucleus via a series of intermediate genes including RAS, RAF, and MEK (Figure 1) [2, 3]. The EGFR–MAPK signal transduction pathway thus provides an ideal opportunity to dissect the role of individual somatic changes in the tumor to predict the outcome of therapy targeted at the EGFR receptor.
Five drugs have been approved that target EGFR thereby inhibiting the EGFR–MAPK signal transduction pathway. These include two monoclonal antibodies (cetuximab and panitumumab) that act by blocking binding of ligands to the extracellular domain of EGFR, two small molecules that bind to the intracellular kinase domains of EGFR (erlotinib and gefitinib) and one that binds to both EGFR and HER2 (lapatinib). Gefitinib was withdrawn from the U.S. market in 2005 because of phase 3 clinical trial results that showed no survival benefit in the overall non-small cell lung cancer (NSCLC) patient population [4]. However, survival benefit was established in the subgroup of Asian female nonsmokers. Genomic analyses of tumor biopsies from patients enrolled in clinical trials of these anti-EGFR agents and in silico analyses of genomic databases have revealed frequent mutations in the EGFR gene or its downstream signal transduction pathway members KRAS and BRAF (reviewed in [3, 5]), amplification of the EGFR gene [6•, 7] and increased amounts of the EGFR ligands epiregulin and amphiregulin [8••, 9•].
The somatic changes in the EGFR–MAPK pathway are used to predict response to anti-EGFR therapies and have been developed as companion diagnostics to include or exclude patients from treatment with these agents. Mutation of the EGFR kinase domain, amplification of the EGFR gene, or increased expression of the EGFR ligands amphiregulin and epiregulin identify tumors that have become dependent on signaling through this pathway and are likely to benefit from therapy. By contrast, mutations in the KRAS gene, while also identifying dependency on EGFR signaling pathway, suggest that tumors will not benefit from treatment with anti-EGFR agents because they act upstream of the activating mutation in the signal transduction cascade. KRAS is the first example where molecular characterization of a downstream signal transduction pathway member, as opposed to the drug target itself, may be developed as a companion diagnostic to guide the use of all drugs in the anti-EGFR class. Furthermore, this example highlights the importance of developing diagnostic markers that predict both sensitivity and primary resistance to antitumorigenic agents. Analysis of the combined data from the studies included in this review shows that the response rate to anti-EGFR therapy is less than 3% in patients with KRAS mutant tumors as opposed to 35% in colorectal cancer (CRC) and 20% in NSCLC with wild-type KRAS.
Section snippets
KRAS mutation frequency
Data were collated from 20 publications or abstracts describing clinical trials of several agents targeting EGFR. Each study included data on the mutational status of KRAS as well as response rates (RRs) and in some cases data on progression-free survival (PFS) and overall survival (OS). Activating mutations occur most commonly in codons 12 and 13 of exon 2 of the KRAS gene [10, 11]. These mutations are mutually exclusive to mutations in the EGFR gene. In most cases KRAS mutations were
Response rates
In the overall patient populations the mean response rates to EGFR inhibitors were 16% and 24% in NSCLC and CRC, respectively. However, only 13 out of 434 tumors (3%) with KRAS mutations were reported to respond to anti-EGFR therapies. Of these responders, 10 were CRCs and 3 were NSCLCs. The response rate in tumors with wild-type KRAS was 27%, but it is interesting to note that the frequency was much higher in CRC (35%) than in NSCLC (20%).
Progression-free survival (PFS) and overall survival (OS)
Many of the studies reported PFS and OS data in addition to response rates (Table 2). Although most of the individual studies were too small to see a significant difference between patients with KRAS wild-type and mutant tumors, there is a consistent trend to lengthen PFS for patients with KRAS wild-type tumors in both the colorectal cancer and non-small cell lung cancer studies. This trend is also visible for the OS data, but is often compromised by the crossover of patients to treatment with
Predictive or prognostic?
Randomized phase 2/3 studies comparing the experimental agent against best supportive care (BSC) or current standard of care (SOC) are essential to determine if the biomarker is revealing a positive response to therapy or revealing a previously unidentified subset of tumors with differential disease outcome. Data from Amado et al. demonstrate that KRAS mutations are predictive of response to panitumumab in CRC (Table 3) [12••]. This study observed an additional two months in PFS in patients
Conclusion
The joint analysis of the response rates, PFS and OS in these 20 clinical studies provides compelling evidence that KRAS mutation status should be utilized as a companion diagnostic for anti-EGFR therapies. The overall value of a predictive test is determined by the balance of positive and negative factors. Although somatic changes in both the EGFR and KRAS genes identify tumors likely to be dependent on signaling through the EGFR–MAPK pathway, KRAS mutations identify tumors unlikely to respond
References and recommended reading
Papers of particular interest, published within the period of review, have been highlighted as:
• of special interest
•• of outstanding interest
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