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      Synergistic interaction between sorafenib and gemcitabine in EGFR-TKI-sensitive and EGFR-TKI-resistant human lung cancer cell lines

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      1 , 2 , 1
      Oncology Letters
      D.A. Spandidos
      sorafenib, gemcitabine, non-small cell lung cancer, sequence treatment

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          Abstract

          Sorafenib is a highly selective multi-targeted agent and has been reported to have potent antitumor effects against various tumors, including human non-small cell lung cancer (NSCLC). In the present study, we explored the antitumor effect and associated molecular mechanisms of sorafenib against human lung cancer cell lines in vitro. We also investigated the efficacy of concurrent and sequential administration of sorafenib and gemcitabine in epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI)-sensitive and EGFR-TKI-resistant NSCLC cell lines. The PC-9 (EGFR-TKI-sensitive, EGFR-mutated) and A549 (EGFR-TKI-resistant, K-Ras-mutated) NSCLC cell lines were treated with sorafenib and gemcitabine, alone, in combination or with different schedules. Cytotoxicity was assessed by MTT assay, cell cycle distribution was analyzed by flow cytometry and alterations in signaling pathways were analyzed by western blotting. We found that sorafenib exhibited dose-dependent growth inhibition in the EGFR-TKI-sensitive and EGFR-TKI-resistant NSCLC cell lines, and the sequence gemcitabine→sorafenib exhibited the strongest synergism. Sorafenib arrested the cell cycle at G1 phase, whereas gemcitabine caused arrest at S phase. The molecular mechanism of this synergism is that the downstream signaling pathways that were initially activated by gemcitabine exposure were efficiently suppressed by the subsequent exposure to sorafenib. By contrast, the reverse of this sequential administration resulted in antagonism, which may be due to differential effects on cell cycle arrest. The results suggest that sorafenib as a single agent exhibits anti-proliferative effects in vitro in NSCLC cell lines with EGFR and K-Ras mutations and that the sequential administration of gemcitabine followed by sorafenib is superior to sorafenib followed by gemcitabine and concurrent administration.

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          Most cited references38

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          Quantitative analysis of dose-effect relationships: the combined effects of multiple drugs or enzyme inhibitors.

          A generalized method for analyzing the effects of multiple drugs and for determining summation, synergism and antagonism has been proposed. The derived, generalized equations are based on kinetic principles. The method is relatively simple and is not limited by whether the dose-effect relationships are hyperbolic or sigmoidal, whether the effects of the drugs are mutually exclusive or nonexclusive, whether the ligand interactions are competitive, noncompetitive or uncompetitive, whether the drugs are agonists or antagonists, or the number of drugs involved. The equations for the two most widely used methods for analyzing synergism, antagonism and summation of effects of multiple drugs, the isobologram and fractional product concepts, have been derived and been shown to have limitations in their applications. These two methods cannot be used indiscriminately. The equations underlying these two methods can be derived from a more generalized equation previously developed by us (59). It can be shown that the isobologram is valid only for drugs whose effects are mutually exclusive, whereas the fractional product method is valid only for mutually nonexclusive drugs which have hyperbolic dose-effect curves. Furthermore, in the isobol method, it is laborious to find proper combinations of drugs that would produce an iso-effective curve, and the fractional product method tends to give indication of synergism, since it underestimates the summation of the effect of mutually nonexclusive drugs that have sigmoidal dose-effect curves. The method described herein is devoid of these deficiencies and limitations. The simplified experimental design proposed for multiple drug-effect analysis has the following advantages: It provides a simple diagnostic plot (i.e., the median-effect plot) for evaluating the applicability of the data, and provides parameters that can be directly used to obtain a general equation for the dose-effect relation; the analysis which involves logarithmic conversion and linear regression can be readily carried out with a simple programmable electronic calculator and does not require special graph paper or tables; and the simplicity of the equation allows flexibility of application and the use of a minimum number of data points. This method has been used to analyze experimental data obtained from enzymatic, cellular and animal systems.
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            KRAS Mutations and Primary Resistance of Lung Adenocarcinomas to Gefitinib or Erlotinib

            Introduction Genes of the ERBB family encode receptor tyrosine kinases that mediate cellular responses to growth signals. Somatic mutations in the tyrosine kinase domains of two ERBB genes, epidermal growth factor receptor (EGFR) and HER2, have been found in a proportion of lung adenocarcinomas [1,2,3,4]. For EGFR, mutations are associated with sensitivity to the small-molecule kinase inhibitors gefitinib (Iressa) [1,2,3] and erlotinib (Tarceva) [3]. ERBB signaling pathways include downstream GTPases encoded by RAS genes. Some 15%–30% of lung adenocarcinomas contain activating mutations in the RAS family member KRAS. These mutations are most frequently found in codons 12 and 13 in exon 2 [5,6], and may be associated with unfavorable outcomes [7]. Interestingly, EGFR and KRAS mutations are rarely found in the same tumors, suggesting that they have functionally equivalent roles in lung tumorigenesis ([8]; M. Meyerson, personal communication). Furthermore, EGFR mutations are common in tumors from patients who have smoked less than 100 cigarettes in their lifetimes (“never smokers”) [3], while KRAS mutations more commonly occur in individuals with a history of substantial cigarette use [9]. We sought to determine whether KRAS mutations could also be used to predict primary sensitivity or resistance to gefitinib or erlotinib. We systematically evaluated 60 lung adenocarcinomas from patients with known responses to either of these drugs for the presence of mutations in EGFR (exons 18 through 21) and KRAS2 (exon 2). Here, we show that mutations in KRAS are associated with primary resistance to single-agent gefitinib or erlotinib. Our results suggest that a determination of mutational status for both EGFR and KRAS may help define which patients are likely to benefit from receiving gefitinib or erlotinib. Methods Tissue Procurement Tumor specimens were obtained through protocols approved by the institutional review board of Memorial Sloan-Kettering Cancer Center, as previously described [3] (see Protocols S1–S3). Tumor material, obtained from patients prior to kinase inhibitor treatment for lung cancer, was collected retrospectively for patients on gefitinib, who received 250 mg or 500 mg orally once daily (n = 24), and prospectively for patients on erlotinib, who received 150 mg orally once daily (n = 36). The latter cohort of patients was part of a clinical trial of erlotinib for patients with bronchioloalveolar carcinoma. The analysis presented here includes specimens we previously reported on (n = 17 for gefitinib and n = 17 for erlotinib) [3]. All specimens were reviewed by a single reference pathologist (M. F. Z.). Imaging studies were assessed by a single reference radiologist (R. T. H.), who graded responses according to Response Evaluation Criteria in Solid Tumors (RECIST) [10]. Both observers were blinded to patient outcomes. Eight of nine patients with tumors sensitive to gefitinib had objective partial responses as defined by RECIST, i.e., at least a 30% decrease in the sum of the longest diameters of target lesions, taking as reference the sum measured at baseline. The ninth patient had marked clinical improvement, as ascertained by two independent reviewing physicians and manifested by lessened dyspnea and cancer-related pain. However, this individual had radiographic lesions (pleural and bone metastases) that were deemed nonmeasurable by RECIST criteria. As erlotinib-treated patients were all in a clinical trial, all had disease measurable using RECIST guidelines. For both drugs in this study, tumors were considered refractory if they did not undergo sufficient shrinkage to qualify for partial response. This definition includes patients whose “best overall response” was either progression of disease (n = 26) or stable disease (n = 12) as defined by RECIST. No patients had a complete response. Mutational Analyses of EGFR and KRAS in Lung Tumors Genomic DNA was extracted from tumors embedded in paraffin blocks, except for tumor 109T, which was a fresh-frozen tumor specimen. Primers for EGFR analyses (exons 18–21) were as published [3]. For KRAS analyses, the following nested primer sets for exon 2 were used: huKRAS2 ex2F, 5′- GAATGGTCCTGCACCAGTAA-3′; huKRAS2 ex2R, 5′- GTGTGACATGTTCTAATATAGTCA-3′; huKRAS2 ex2Fint, 5′- GTCCTGCACCAGTAATATGC-3′; and huKRAS2 ex2Rint, 5′- ATGTTCTAATATAGTCACATTTTC-3′. For both EGFR and KRAS, PCR was performed using the HotStarTaq Master Mix Kit (Qiagen, Valencia, California, United States), as per manufacturer's instructions. Use of this method often obviated the need for nested PCR sets. All sequencing reactions were performed in both forward and reverse directions, and all mutations were confirmed by PCR amplification of an independent DNA isolate. In 12 cases, exon 19 deletions were also studied by length analysis of fluorescently labeled PCR products on a capillary electrophoresis device, using the following primers: EGFR-Ex19-FWD1, 5′- GCACCATCTCACAATTGCCAGTTA-3′, and EGFR-Ex19-REV1, 5′-Fam- AAAAGGTGGGCCTGAGGTTCA-3′. Using serial dilutions of DNA from the H1650 non-small-cell lung cancer cell line (exon 19 deletion-positive [11]), this assay detects the mutant allele when H1650 DNA comprises 6% or more of the total DNA tested, compared to a sensitivity of 12% for direct sequencing. These same cases were also screened for the exon 21 L858R mutation by a PCR–restriction fragment length polymorphism assay, based on a new Sau96I restriction site created by the L858R mutation (2,573T→G). The Sau96I-digested fluorescently labeled PCR products were analyzed by capillary electrophoresis, and the following primers were used: EGFR-Ex21-FWD1, 5′- CCTCACAGCAGGGTCTTCTCTGT-3′, and EGFR-Ex21-REV1, 5′-Fam- TCAGGAAAATGCTGGCTGACCTA-3′. Using serial dilutions of DNA from the H1975 cell line (L858R-positive [11]), this assay detects the mutant allele when H1975 DNA comprises 3% or more of the total DNA tested, compared to a sensitivity of 6% for direct sequencing (Q. Pan, W. Pao, and M. Ladanyi, unpublished data). Statistics Fisher's Exact Test was used to calculate p-values, and confidence intervals were calculated using Statistics with Confidence software [12]. Results We identified 60 lung adenocarcinomas from individual patients with tumors shown to be sensitive or refractory to single-agent gefitinib or erlotinib and evaluated these tumors for mutations in EGFR and KRAS. Collectively, nine of 38 (24%) tumors refractory to either kinase inhibitor had KRAS mutations, while zero of 21 (0%) drug-sensitive tumors had such mutations (p = 0.02) (Table 1). The 95% confidence intervals (CIs) for these observations are 13%–39% and 0%–16%, respectively. Conversely, 17 of 22 (77%) tumors sensitive to either kinase inhibitor had EGFR mutations, in contrast to zero of 38 (0%) drug-resistant tumors (p = 6.8 × 10−11). The 95% CIs for these observed response rates are 57%–90% and 0%–9%, respectively. All 17 tumors with EGFR mutations responded to gefitinib or erlotinib, while all nine tumors with KRAS mutations did not (p = 3.2 × 10−7). Correlation of EGFR and KRAS mutational status with drug and treatment response is detailed in Table 1. The spectrum of KRAS mutations is shown in Figure 1 and Table 2. Results with gefitinib and erlotinib were similar overall. However, the incidence of KRAS mutations in the patients treated with erlotinib was low, probably because of the fact that all patients treated with this drug had bronchioloalveolar carcinoma, which rarely has RAS mutations [13]. Alternatively, our analyses involving only exon 2 of KRAS2 may have missed some RAS mutations. However, in our analysis of the exonic regions encoding the first 100 amino acids of KRAS in 110 surgically resected early-stage non-small-cell lung cancers, we have found 18 mutations, and all were in either codon 12 or codon 13, encoded by exon 2 (W. Pao, R. Wilson, H. Varmus, unpublished data). Another possibility is that the erlotinib-treated tumors have mutations in other RAS genes, since a minority of RAS mutations in lung cancer have been reported to occur in N- or HRAS [5,6]. Discussion These results have important clinical implications. First, they extend previous data from our group and others showing that lung adenocarcinomas containing EGFR mutations are associated with sensitivity to gefitinib or erlotinib (17 of 17 in this series; 100% observed response rate; 95% CI, 82%–100%). Second, these data show that tumors with KRAS exon 2 mutations (n = 9) are associated with a lack of response to these kinase inhibitors (0% observed response rate; 95% CI, 0%–30%). Third, no drug-sensitive tumors had KRAS exon 2 mutations (n = 21). Whether KRAS mutational status can be used to predict responses to gefitinib or erlotinib in patients whose tumors have wild-type EGFR sequence is still under investigation: our analysis comparing response rates for tumors with neither EGFR nor KRAS mutations versus tumors with wild-type EGFR but mutated KRAS does not reach statistical significance (five of 22 versus zero of nine; p = 0.29). Nevertheless, these findings suggest that patients whose lung adenocarcinomas have KRAS mutations will not experience significant tumor regression with either drug. The incidence of EGFR mutations in tumors responsive to EGFR kinase inhibitors has varied from 71% to 100% ([1,2,3] and this paper). Thus, at this point, patients whose tumors test negative for EGFR mutations should not necessarily be precluded from treatment with either gefitinib or erlotinib. Data presented here suggest that clinical decisions regarding the use of these agents in patients with lung adenocarcinomas might be improved in the future by pre-treatment mutational profiling of both EGFR and KRAS. These findings warrant validation in large prospective trials using standardized mutation detection techniques. Supporting Information Protocol S1 Preclinical Studies of Blood, Urine, Bone Marrow, and Tissues Collected from Patients with Thoracic Malignancies (32 KB PDF). Click here for additional data file. Protocol S2 Multicenter Phase II Trial of OSI-774 (Erlotinib, Tarceva) in Patients with Advanced Bronchioloalveolar Cell Lung Cancer (1.9 MB PDF). Click here for additional data file. Protocol S3 Protocol Approval Letters (60 KB PDF). Click here for additional data file. Accession Numbers The LocusLink (http://www.ncbi.nlm.nih.gov/LocusLink/) accession number for the KRAS2 sequence discussed in this paper is 3845; the GenBank (http://www.ncbi.nlm.nih.gov/Genbank/) accession number for the KRAS2 sequence discussed in this paper is NT_009714.16. Patient Summary Background Two drugs, gefitinib (Iressa) and erlotinib (Tarceva), have been developed that can make lung cancers smaller in some patients. The drugs work by blocking the effect of a molecule called the epidermal growth factor receptor (EGFR), which relays instructions to cells to grow and divide. Recently, researchers found that these drugs most effectively shrink tumors that have acquired abnormal variations (mutations) in the EGFR gene. These mutations somehow allow tumor cells to escape normal safety mechanisms that keep cells from growing out of control. Some lung cancers also have mutations in another gene called KRAS. Interestingly, KRAS mutations and EGFR mutations are rarely ever found in the same tumor. Why Was This Study Done? Unfortunately, EGFR mutations are only found in a minority of patients with lung cancer. This means that gefitinib or erlotinib might be given to a lot of patients who may not benefit from this treatment. Ideally, the drugs would be given only to patients who we know will benefit from them. This study examined whether studying the KRAS gene (to see if it had a mutation) could help predict which patients had tumors that would respond well to the drugs. What Did the Researchers Do? They took 60 lung cancer samples from patients who had been treated with one of the drugs and either responded (that is, their tumors shrunk in size) or not, and tested whether the tumors had normal or abnormal KRAS. What Did They Find? Tumors that got significantly smaller while treated with gefitinib or erlotinib (a total of 22) had a normal KRAS gene. Most of these tumors had EGFR mutations. Conversely, tumors that had abnormal KRAS (a total of nine) did not shrink while treated with gefitinib or erlotinib. What Does This Mean? Both gefitinib and erlotinib are expensive and have side effects. Testing for EGFR and KRAS mutations is relatively straightforward, and one could test for abnormalities in both genes first and then decide which patients should be treated with either of the two drugs. What Next? Before doing EGFR and KRAS tests on a routine basis and taking the results into account when making a decision about who should be treated with gefitinib or erlotinib, larger studies need to be done to see whether the results reported here hold up. More Information Online US Food and Drug Administration information page on Iressa: http://www.fda.gov/cder/drug/infopage/iressa/iressaQ&A.htm Cancer Research UK information page about erlotinib: http://www.cancerhelp.org.uk/help/default.asp?page=10296
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              Activating and resistance mutations of EGFR in non-small-cell lung cancer: role in clinical response to EGFR tyrosine kinase inhibitors.

              A Gazdar (2009)
              The epidermal growth factor receptor tyrosine kinase inhibitors (EGFR TKIs), gefitinib and erlotinib, are reversible competitive inhibitors of the tyrosine kinase domain of EGFR that bind to its adenosine-5' triphosphate-binding site. Somatic activating mutations of the EGFR gene, increased gene copy number and certain clinical and pathological features have been associated with dramatic tumor responses and favorable clinical outcomes with these agents in patients with non-small-cell lung cancer (NSCLC). The specific types of activating mutations that confer sensitivity to EGFR TKIs are present in the tyrosine kinase (TK) domain of the EGFR gene. Exon 19 deletion mutations and the single-point substitution mutation L858R in exon 21 are the most frequent in NSCLC and are termed 'classical' mutations. The NSCLC tumors insensitive to EGFR TKIs include those driven by the KRAS and MET oncogenes. Most patients who initially respond to gefitinib and erlotinib eventually become resistant and experience progressive disease. The point mutation T790M accounts for about one half of these cases of acquired resistance. Various second-generation EGFR TKIs are currently being evaluated and may have the potential to overcome T790M-mediated resistance by virtue of their irreversible inhibition of the receptor TK domain.
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                Author and article information

                Journal
                Oncol Lett
                Oncol Lett
                OL
                Oncology Letters
                D.A. Spandidos
                1792-1074
                1792-1082
                February 2013
                07 November 2012
                07 November 2012
                : 5
                : 2
                : 440-446
                Affiliations
                [1 ]Department of Geriatrics, The Third Affiliated Hospital of Anhui Medical University, Hefei 230061;
                [2 ]Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, P.R. China
                Author notes
                Correspondence to: Professor Ying Zhang, Department of Geriatrics, The Third Affiliated Hospital of Anhui Medical University, 390 Huai He Road, Hefei 230061, P.R. China, E-mail: zhangying19650108@ 123456163.com
                Article
                ol-05-02-0440
                10.3892/ol.2012.1017
                3573056
                23420122
                4657e232-d3a5-4051-8805-95d2a4945184
                Copyright © 2013, Spandidos Publications

                This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.

                History
                : 06 July 2012
                : 11 October 2012
                Categories
                Articles

                Oncology & Radiotherapy
                gemcitabine,non-small cell lung cancer,sequence treatment,sorafenib
                Oncology & Radiotherapy
                gemcitabine, non-small cell lung cancer, sequence treatment, sorafenib

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