Literature DB >> 25552401

Phase I/II study of gefitinib (Iressa(®)) and vorinostat (IVORI) in previously treated patients with advanced non-small cell lung cancer.

Ji-Youn Han1, Soo Hyun Lee, Geon Kook Lee, Tak Yun, Young Joo Lee, Kum Hui Hwang, Jin Young Kim, Heung Tae Kim.   

Abstract

PURPOSE: Vorinostat has been shown to overcome resistance to gefitinib. We performed a phase I/II study combining gefitinib with vorinostat in previously treated non-small cell lung cancer (NSCLC).
METHODS: A 3 + 3 dose-escalation design was used to determine maximum tolerated dose (MTD) and recommended phase II dose (RP2D). Three dose levels were tested: 250 mg/day gefitinib on days 1-28 and 200, 300 or 400 mg/day vorinostat on days 1-7, and 15-21 out of every 28 days. The primary endpoint was median progression-free survival (PFS).
RESULTS: Fifty-two patients were enrolled and treated (43 in phase II). The median age was 59 years, 28 patients were male, 44 had adenocarcinoma, 29 had never smoked, and 36 had undergone one prior treatment. Twenty-two patients exhibited sensitive EGFR mutations. Planned dose escalation was completed without reaching the MTD. The RP2D was 250 mg gefitinib and 400 mg vorinostat. In 43 assessable patients in phase II, the median PFS was 3.2 months; the overall survival (OS) was 19.0 months. There were 16 partial responses and six cases of stable disease. In EGFR-mutant NSCLC, response rate was 77 %, median PFS was 9.1 months, and median OS was 24.1 months. The most common adverse events were anorexia and diarrhea.
CONCLUSIONS: Treatment with 250 mg gefitinib daily with biweekly 400 mg/day vorinostat was feasible and well tolerated. In an unselected patient population, this combination dose did not improve PFS. However, this combination showed a potential for improving efficacy of gefitinib in EGFR-mutant NSCLC (NCT01027676).

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Year:  2015        PMID: 25552401      PMCID: PMC4341018          DOI: 10.1007/s00280-014-2664-9

Source DB:  PubMed          Journal:  Cancer Chemother Pharmacol        ISSN: 0344-5704            Impact factor:   3.333


Introduction

Epidermal growth factor receptor (EGFR)–tyrosine kinase inhibitors (TKIs) are now the therapy of choice for patients with EGFR-mutant non-small cell lung cancer (NSCLC). However, despite the initial response to EGFR-TKIs, most patients develop resistance and eventually relapse. The mechanisms responsible for acquired resistance to EGFR-TKIs include secondary EGFR T790 M mutation, MET amplification, epithelial-to-mesenchymal transition (EMT) signature, histologic transformation to small cell lung cancer, and AXL kinase activation [1]. Furthermore, approximately 20 % of patients harboring sensitive EGFR mutations exhibit a suboptimal response or primary resistance to EGFR-TKIs. In addition to the coexistence of other genetic alterations, such as PIK3CA or EGFR exon 20 insertion mutations, germline BIM deletion polymorphism has been reported as a possible mechanism of primary resistance to EGFR-TKIs [2]. Novel strategies to overcome the multifactorial resistance are needed to improve the efficacy of EGFR-TKIs, particularly in patients with EGFR mutations. In addition, there is controversy regarding the use of EGFR-TKIs for patients with EGFR wild-type NSCLC. So far, EGFR-TKIs have been widely used for advanced NSCLC irrespective of the EGFR mutation status because earlier trials that demonstrated the efficacy of EGFR-TKIs for second- or third-line therapy of advanced NSCLC did not consider EGFR genotype. However, recent randomized trials comparing erlotinib and docetaxel as a second-line therapy in EGFR wild-type NSCLC demonstrated the clear superiority of docetaxel over EGFR-TKIs in patients with EGFR wild-type NSCLC [3, 4]. Thus, further defining the subpopulation of EGFR wild-type NSCLC patients that is suitable for EGFR-TKIs therapy is needed. Histone deacetylase inhibitors (HDACis) have emerged as promising multifunctional anticancer agents that regulate gene expression and transcription through chromatin remodeling. HDACis can also modulate a variety of cellular functions, including growth, differentiation, and survival, through the acetylation of a wide range of proteins, including transcription factors, molecular chaperones, and structural components [5]. Recent data suggest that HDACis can increase sensitivity to EGFR-TKIs in lung cancer cells. HDACis can reverse resistance to EGFR-TKIs through induction of E-cadherin expression in lung cancer cells [6]. In addition, HDACis induce acetylation of Hsp90, resulting in reduced association of Hsp90 with key chaperone proteins, including EGFR, c-Src, STAT3, and Akt [7]. Furthermore, HDACis increase the expression of the proapoptotic BH3 domain-containing isoform of BIM, which restores the sensitivity to EGFR-TKIs [8]. Thus, current research on incorporating HDACis in NSCLC treatment is focused on the combination of HDACis with EGFR-TKIs [9]. Vorinostat is an inhibitor of class I and II histone deacetylases that regulate the transcription of various genes involved in cell survival and apoptosis. Vorinostat has demonstrated profound anti-growth activity against NSCLC cells [10]. Given the potential synergy between HDACis and EGFR-TKIs, we conducted a phase I/II study of gefitinib and vorinostat in patients with advanced NSCLC.

Methods

Patients

The main eligibility criteria were histologic confirmation of advanced NSCLC, previous chemotherapy with at least one platinum-containing regimen, age ≥ 18 years, an Eastern Cooperative Oncology Group (ECOG) performance status (PS) of less or equal to 2, and a measurable disease according to the Response Evaluation Criteria in Solid Tumors (RECIST). Adequate hematologic (WBC count ≥4,000/mm3, platelet count ≥150,000/mm3), hepatic (bilirubin level ≤1.5 mg/dL, AST/ALT ≤80 IU/L), and renal (creatinine concentration ≤1.5 mg/dL) function was required. Patients with brain metastases were enrolled if they were clinically stable without steroid treatment. The exclusion criteria included serious concomitant systemic diseases or a history of uncontrolled cardiac dysfunction, or any previous treatment with EGFR signaling inhibitors or HDAC inhibitors. The protocol was approved by an independent ethics committee/institutional review board and was conducted in accordance with the Declaration of Helsinki, Good Clinical Practice. Each patient provided written informed consent.

Study design

The phase I study was a standard 3 + 3 dose-escalation design, followed by a phase II part. The primary endpoint of the phase I part was to determine the maximum tolerated dose (MTD) and the recommended phase II dose (RP2D) of vorinostat in combination with gefitinib. The primary endpoint of phase II part was progression-frees survival. In the phase I study, three patients were treated per cohort for one cycle (28 days per cycle). Dose-limiting toxicity (DLT) was defined as any grade 3 or 4 non-hematologic toxicity (except nausea or vomiting that responds to symptomatic therapy, fatigue that responds to maximal management and alopecia) or any grade 4 hematologic toxicity occurring during the first cycle. Toxicity was graded according to the National Cancer Institute Common Toxicity Criteria of Adverse Events (CTCAE) version 4.0. In the absence of any DLT, three patients were treated in the subsequent cohort. The presence of DLT in a cohort required that another three patients be treated in the cohort for one cycle. If no DLTs occurred, then dose escalation continued. RP2D was defined as the highest dosage at which one of six patients at most experienced a DLT. No intra-patient dose escalation was permitted.

Treatment delivery

All patients received once-daily oral doses of 250 mg gefitinib on days 1–28 in combination with vorinostat on days 1–7 and days 15–21 of each 28 days cycle. Up to three dose levels of vorinostat were evaluated (200, 300, and 400 mg/day). During phase II, vorinostat was administered at the RP2D of 400 mg/day. Study treatment continued until disease progression (PD) or until another termination criterion was met: unacceptable toxicity, consent withdrawal, loss to follow-up, death, major protocol violation, or noncompliance.

Study assessment

Safety assessment included history, physical examinations, vital signs, ECOG PS, adverse events (AEs), electrocardiography (ECG), blood chemistry, and hematology. Safety assessments were performed at screening, biweekly (days 1 and 15) during cycles one and two, on day 1 of subsequent cycles, and during the final study visit. Baseline computed tomography (CT) scans of the chest and abdomen, bone scintigraphy, and brain magnetic resonance imaging or CT were obtained within 4 weeks before initiation of treatment. Efficacy variables, including progression-free survival (PFS) and overall survival (OS), were evaluated during phase II. Tumor response was assessed using RECIST 1.1 [11] after every two cycles of therapy.

EGFR and KRAS mutation analysis

Genomic DNA was extracted from 10 % neutral formalin-fixed, paraffin-embedded (FFPE) tumor tissue blocks using the QIAamp DNA Mini Kit (QIAGEN, Hilden, Germany). We analyzed EGFR and KRAS mutations using the polymerase chain reaction (PCR)-based direct DNA sequencing method [12].

Genotyping of BIM deletion polymorphism (BIM DEL)

We obtained blood samples before treatment. We extracted genomic DNA from patients’ peripheral blood and genotyped the deletion by a single PCR reaction using the primers 5′-ccaccaatggaaaaggttca-3′ and 5′-gcctgaaggtgctgagaaag-3′ and Hotstartaq DNA Polymerase (Qiagen) with the following thermo-cycling conditions: 94 °C for 15 min, (94 °C for 15 s, 60 °C for 30 s, and 68 °C for 5 min) × 35, and 68 °C for 10 min. The resulting PCR products from the deletion (970 bp) and the wild-type (3,873 bp) alleles were analyzed on 1.5 % agarose gels. We performed two separate PCR reactions to determine the presence of the wild-type and deletion alleles.

Immunohistochemistry for E-cadherin and vimentin

Samples with E-cadherin (Zymed, CA, USA) and vimentin (Ventana, AZ, USA) immunohistochemistry staining intensity scores of 0 or +1 (<50 % of the cells have complete circumferential membrane staining at a low intensity) were classified as negative. Those with +2 or +3 (≥50 % of the cells have complete circumferential membrane staining at a high intensity) were classified as positive.

Statistical analysis

The primary object of the phase I study was to determine the MTD of vorinostat in combination with the standard dose of gefitinib. The last six patients enrolled into the phase I study were included in the analysis of the phase II study. The primary endpoint of the phase II component was to reject the null hypothesis (median PFS, 3.5 months) and to accept the alternative hypothesis (median PFS, 6.5 months). To test the hypothesis and to calculate the sample size, we assumed an exponential distribution. Thus, the estimated 6-month PFS under the null hypothesis and alternative hypothesis were 0.305 and 0.530, respectively. To achieve a power of .80, with α = .05, we calculated a sample size of 40 patients. Anticipating a 10 % dropout rate, the samples size for the phase II portion totaled 44 patients. All tests of hypotheses were conducted at a two-sided α = 0.05 level. The log-rank test was used to compare PFS and OS time according to mutation status. The distribution of PFS and OS were estimated using the Kaplan–Meier method. Statistical comparison of the response rates according to the mutation status was performed using Chi-squared or Fisher’s exact test.

Results

Patient characteristics

Between July 2010 and June 2013, 52 patients were enrolled in this study. The patient characteristics are summarized in Table 1. All patients had stage IV disease, and most of the patients exhibited good PS and adenocarcinoma histology. Thirty-six patients received the study treatment as second-line therapy. The most common reason for study discontinuation was disease progression (45 of 52: 86.5 %).
Table 1

Patient characteristics

Phase IPhase II
Level 1Level 2Level 3
N 36637
Median age (range)67 (65–76)63.5 (59–71)52.5 (44–66)56 (39–79)
Male/female2/13/32/421/16
Stage IIIB/IV0/30/60/60/37
ECOG performance status 0/1/20/3/01/2/32/4/05/25/7
Histology, adenocarcinoma/squamous/othera 3/0/04/2/05/1/032/3/2
Sensitive EGFR mutation, positive/negative/unknown1/2/04/2/04/2/013/23/0
K-RAS mutation, positive/negative/unknown1/0/21/4/10/6/03b/34/0
BIM deletion polymorphism, positive/negative1/21/51/54/33
Prior chemotherapy regimen, one/two2/13/35/126/11

aNOS, sarcomatoid carcinoma

bOne patient had concurrent EGFR exon 19 deletion with A871T and KRAS G12S mutations: This patient is regarded as KRAS mutation positive

Patient characteristics aNOS, sarcomatoid carcinoma bOne patient had concurrent EGFR exon 19 deletion with A871T and KRAS G12S mutations: This patient is regarded as KRAS mutation positive

Phase I study results

The toxicities encountered during the phase I study are summarized in Table 2. Three patients were enrolled in the level 1 treatment, and none experienced DLT. Three patients were enrolled in the level 2 treatment, and one experienced DLT due to grade 3 hyperglycemia. Consequently, another three patients were enrolled in the level 2 treatment, and none experienced DLT. In the level 3 treatment group, the initial three patients experienced no DLT. Thus, the level 3 group was expanded up to six patients, and one experienced DLT due to grade 3 anorexia. The RP2D was determined to be biweekly 400 mg/day vorinostat in combination with daily 250 mg gefitinib (level 3).
Table 2

Toxicities in phase 1 (n = 15)

Level 1 (n = 3)Level 2 (n = 6)Level 3 (n = 6)
Grade123412341234
Anemia210021001100
Blood bilirubin increased000010001000
Creatinine increased000020000000
Hyperglycemia110020101000
Neutrophil count decreased000000000100
Platelet count decreased000010001000
White blood cell count decreased000000003000
Anorexia100020002110
Diarrhea000040005100
Dry mouth000010001000
Dry skin000020002000
Fatigue100030001000
Oral mucositis000020004100
Nausea100010003010
Papulopustular rash000000001000
Pruritus000030004000
Acneiform rash000010001000
Maculopapular rash000030003000
Nasal mucositis000000001000
Vomiting000010002000
Toxicities in phase 1 (n = 15)

Phase II study

The following analysis is based on 43 patients, including six patients who were treated during the MTD of the phase I portion and 37 patients who were treated during the phase II portion of this study. The follow-up data were frozen on March 3, 2014. The median follow-up was 16.2 months (95 % CI 13.2 to 19.3 months). The median number of cycles was two (range 1–24 cycles).

Response and survival

Among 43 patients, there were 16 patients with a partial response (37.2 %), 6 with stable disease (14.0 %), and 21 with progressive diseases (48.8 %). The median PFS was 3.2 months (95 % CI 2.3 to 4.1 months). The median OS was 19.0 months (95 % CI 17.2 to 20.8 months). The response and PFS data are presented in Fig. 1a, b.
Fig. 1

Efficacy. a Waterfall plot of response. b Progression-free survival PR partial response; SD stable disease; PD progressive disease; e sensitive EGFR mutations; k KRAS codon 12 mutations; BIM Del BIM deletion polymorphism

Efficacy. a Waterfall plot of response. b Progression-free survival PR partial response; SD stable disease; PD progressive disease; e sensitive EGFR mutations; k KRAS codon 12 mutations; BIM Del BIM deletion polymorphism

Toxicity

Toxicity was assessable in all 43 patients (Table 3). The most frequent grade 3 toxicities were anorexia (11.6 %), diarrhea (9.3 %), fatigue (7.0 %), and anemia (4.7 %). There was no grade 4 hematologic toxicity. There was no treatment-related death or irreversible toxicity that was considered to be related to the treatment in this study.
Table 3

Toxicities in phase II (n = 43)

Grade%
1234Grade 3/4 (total)
Diarrhea1912409.3 (81.4)
Anorexia12145011.6 (72.1)
Pruritus215000 (60.5)
Acneiform rash1610000 (60.5)
Hyperglycemia194000 (53.5)
Anemia128204.7 (51.2)
Vomiting136102.3 (46.5)
Nausea134102.3 (41.9)
Fatigue122307.0 (39.5)
Oral mucositis122000 (32.6)
White blood cell count decreased120000 (27.9)
Dry skin101000 (25.6)
Hypocalcemia82000 (23.3)
ALP increased91000 (23.3)
Platelet count decreased90102.3 (23.3)
Creatinine increased100000 (23.3)
ALT increased62102.3 (20.9)
AST increased62000 (18.6)
Weight loss44000 (18.6)
Headache44000 (18.6)
Blood bilirubin increased52000 (16.3)
Hyponatremia60102.3 (16.3)
Electrocardiogram QT corrected interval prolonged60000 (14.0)
Maculopapular rash60000 5 (14.0)
Epigastric pain06000 (14.0)
Abdominal pain21307.0 (14.0)
Hypophosphatemia05102.3 (14.0)
Hypokalemia50102.3 (14.0)
Constipation41000 (11.6)
Peripheral sensory neuropathy41000 (11.6)
LDH increased50000 (11.6)
Hypermagnesemia00307.0 (7.0)
Neutrophil count decreased04000 (9.3)
Dizziness21102.3 (9.3)
Nasal mucositis31000 (9.3)
Paronychia10102.3 (4.7)
Dehydration00102.3 (2.3)
Hand foot syndrome01000 (2.3)
Acute renal failure00102.3 (2.3)
Toxicities in phase II (n = 43)

Exploratory biomarker analysis

We analyzed EGFR and KRAS mutations, as well as BIM DEL, and E-cadherin and vimentin expression in all patients. Of the 52 patients enrolled in this study, 22 exhibited sensitive EGFR mutations (sixteen exon 19 deletions, five L858R mutations, and one R776H mutation) and five exhibited KRAS mutations (three G12C and two G12S mutations). One patient with KRAS G12S exhibited a concurrent EGFR exon 19 deletion and A871T mutation. This case was classified as KRAS mutation positive. BIM DEL was observed in seven patients. Immunohistochemistry was available in 43 patients, and eighteen and nineteen patients exhibited positive E-cadherin and vimentin expression, respectively. The response and survival data according to biomarkers are summarized in Table 4. The presence of sensitive EGFR mutations was predictive of higher response rates (RR) and longer PFS and OS compared with patients with KRAS mutations or patients without either mutation (Fig. 2a, b). Patients harboring BIM DEL mutations exhibited a trend toward higher RR and longer PFS; however, the trend failed to achieve statistical significance (Fig. 2c, d). E-cadherin and vimentin expression was not associated with RR or survival (Fig. 2e–h).
Table 4

Exploratory biomarker analysis

EGFR/KRAS mutationBIM deletion polymorphismE-cadherinVimentin
EGFR posKRAS posBoth negPosNegPosNegPosNeg
N 2252574518251924
Response
 PR17035159779
 SD314082543
 PD2318221712712
 NA010010110
 P* <0.00010.2470.4260.541
PFS, months
 Median9.11.81.89.23.63.63.65.42.1
 95 % CI7.4–10.8NA1.7–1.90.0–18.71.2–6.00.7–6.70.5–6.72.4–8.41.1–3.1
 P ≠ 0.0040.4860.8420.125
OS, months
 Median24.17.311.424.119.019.020.318.520.3
 95 % CINA3.7–11.00.0–23.16.7–41.517.0–21.015.5–22.58.1–32.510.8–26.216.5–24.1
 P ≠ 0.0170.5610.8430.812

pos positive, neg negative, NA not assessable, PFS progression-free survival, OS overall survival, CI confidence interval

* Chi-square or Fisher’s exact test, ≠ Kaplan–Meier test

Fig. 2

Progression-free and overall survival according to EGFR and KRAS mutation status (a, b), BIM deletion polymorphism (c, d), E-cadherin expression (e, f), and vimentin expression (g, h), respectively

Exploratory biomarker analysis pos positive, neg negative, NA not assessable, PFS progression-free survival, OS overall survival, CI confidence interval * Chi-square or Fisher’s exact test, ≠ Kaplan–Meier test Progression-free and overall survival according to EGFR and KRAS mutation status (a, b), BIM deletion polymorphism (c, d), E-cadherin expression (e, f), and vimentin expression (g, h), respectively

Discussion

Our study demonstrated that gefitinib administered daily at a dose of 250 mg with biweekly vorinostat at a dose of 400 mg/day was feasible and well tolerated. However, the efficacy results measured by PFS do not support this combination for molecularly unselected NSCLC patients. Nevertheless, it is noteworthy that patients harboring sensitive EGFR mutations achieved a remarkable RR of 77 % and a median PFS of 9.1 months even in the second- or third-line setting, results that are comparable to the first-line use of gefitinib in EGFR-mutant NSCLC. Thus far, four randomized phase III studies have demonstrated superior RR and PFS with first-line use of gefitinib over platinum-based chemotherapy in EGFR-mutant NSCLC. First-line gefitinib in EGFR-mutant NSCLC yields consistent RR of 70–80 % and a median PFS of 9–10 months [13-16]. To date, there are no direct comparisons between first-line versus second-line use of EGFR-TKIs in EGFR-mutant NSCLC. Although the sequence of EGFR-TKIs in EGFR-mutant NSCLC may not affect the OS [17], the tumor response rates to second-line EGFR-TKIs are usually lower than to first-line use. Maemondo et al. [15] documented that the RR to gefitinib was slightly worse in the second-line setting compared with the first-line setting (58.5 vs. 73.7 %) in a randomized phase III study. Sugio et al. [18] also reported that the RR to gefitinib was lower in the second-line setting compared with the first-line setting (50.0 vs. 77.8 %). In a randomized phase III study that compared gefitinib with docetaxel as a second- or third-line therapy, the gefitinib arm demonstrated a RR of 42.1 % and a median PFS of 7.0 months in EGFR-mutant patients [19]. Although there was no significant difference in the OS treatment effect, the OS in EGFR-mutant NSCLC was 14.2 months with gefitinib [19]. Some data suggest that the relatively inferior response to second-line EGFR-TKIs may result from the decreased abundance of EGFR-mutant tumor cells after chemotherapy [20, 21]. It is clear that EGFR-TKIs are most active in EGFR-mutant NSCLC. The sensitive EGFR mutations target the TK domain that is essential for the phosphorylation function, which results in enhanced kinase activity and also in increased sensitivity to EGFR-TKIs [22]. A recent experimental study revealed that vorinostat treatment increased the acetylation of EGFR, which leads to enhanced EGFR phosphorylation in cancer cells. Additionally, combination therapy effectively inhibited cell growth in vitro compared with individual therapy [23]. Despite second- or third-line use of gefitinib in our study, the relatively higher RR and longer survival times observed in EGFR-mutant NSCLC may be attributed to the combination with vorinostat. Vorinostat-induced acetylation-enhanced tyrosine kinase phosphorylation of EGFR may overcome or delay the development of acquired resistance to gefitinib caused by the low abundance of EGFR-mutant cancer cells. By contrast, the efficacy observed in patients with wild-type EGFR was similar to other reports. Accordingly, vorinostat in combination with gefitinib may be more effective for patients with EGFR-mutant NSCLC. At the time of the study initiation, EGFR mutation test was not routinely performed in Korea and gefitinib was usually used as second- or third-line therapy. Thus, we enrolled non-molecularly selected patients. Very recently, Reguart et al. [24]. reported a phase I/II study of vorinostat and erlotinib for EGFR-mutant NSCLC after erlotinib progression. The authors found no meaningful activity in the erlotinib-resistant population. Given that the most common cause of acquired resistance to EGFR-TKIs in EGFR-mutant NSCLC is T790 M mutation, vorinostat may be not sufficient to overcome T790 M-related resistance to EGFR-TKIs. Witta et al. [25] reported a randomized phase II trial of erlotinib with or without entinostat, an isoform-selective HDACis, in previously treated NSCLC. The authors also failed to demonstrate improved outcomes. Nevertheless, the authors reported that high E-cadherin expression was predictive of longer OS with the combination therapy. However, biomarker analysis was available in only a subset of patients, and more patients enrolled in the combination arm were EGFR FISH positive. Thus, the impact of E-cadherin expression on HDACis in combination with erlotinib remains unclear. We also analyzed E-cadherin expression. Furthermore, we added vimentin expression to further define cases with an epithelial phenotype. However, we did not observe any significant association with efficacy. We also analyzed the predictive role of BIM DEL. BIM DEL has been reported to be associated with intrinsic resistance to EGFR-TKIs due to the impaired generation of BIM with the proapoptotic BH3 domain [2]. However, vorinostat can upregulate the expression of BIM protein with BH3 domain, which restore sensitivity to gefitinib in EGFR-mutant NSCLC cells with BIM DEL [8]. Patients with BIM DEL exhibited a trend toward longer PFS compared with those without BIM DEL. However, only seven (13 %) of 52 patients exhibited BIM DEL; thus, the impact of vorinostat in combination with gefitinib in this population should be investigated further. The combination therapy of vorinostat and gefitinib as second- or third-line therapy did not improve outcomes in an unselected patient population. Nevertheless, the planned biomarker analysis suggests that this combination may be effective for EGFR-mutant NSCLC by enhancing EGFR phosphorylation. Although further study is required to confirm the usefulness of vorinostat in combination with gefitinib in EGFR-mutant NSCLC, our study suggests the potential benefit of vorinostat for improving the efficacy of EGFR-TKIs in EGFR-mutant NSCLC.
  24 in total

1.  A common BIM deletion polymorphism mediates intrinsic resistance and inferior responses to tyrosine kinase inhibitors in cancer.

Authors:  King Pan Ng; Axel M Hillmer; Charles T H Chuah; Wen Chun Juan; Tun Kiat Ko; Audrey S M Teo; Pramila N Ariyaratne; Naoto Takahashi; Kenichi Sawada; Yao Fei; Sheila Soh; Wah Heng Lee; John W J Huang; John C Allen; Xing Yi Woo; Niranjan Nagarajan; Vikrant Kumar; Anbupalam Thalamuthu; Wan Ting Poh; Ai Leen Ang; Hae Tha Mya; Gee Fung How; Li Yi Yang; Liang Piu Koh; Balram Chowbay; Chia-Tien Chang; Veera S Nadarajan; Wee Joo Chng; Hein Than; Lay Cheng Lim; Yeow Tee Goh; Shenli Zhang; Dianne Poh; Patrick Tan; Ju-Ee Seet; Mei-Kim Ang; Noan-Minh Chau; Quan-Sing Ng; Daniel S W Tan; Manabu Soda; Kazutoshi Isobe; Markus M Nöthen; Tien Y Wong; Atif Shahab; Xiaoan Ruan; Valère Cacheux-Rataboul; Wing-Kin Sung; Eng Huat Tan; Yasushi Yatabe; Hiroyuki Mano; Ross A Soo; Tan Min Chin; Wan-Teck Lim; Yijun Ruan; S Tiong Ong
Journal:  Nat Med       Date:  2012-03-18       Impact factor: 53.440

2.  Acquired resistance to EGFR inhibitors is associated with a manifestation of stem cell-like properties in cancer cells.

Authors:  Kazuhiko Shien; Shinichi Toyooka; Hiromasa Yamamoto; Junichi Soh; Masaru Jida; Kelsie L Thu; Shinsuke Hashida; Yuho Maki; Eiki Ichihara; Hiroaki Asano; Kazunori Tsukuda; Nagio Takigawa; Katsuyuki Kiura; Adi F Gazdar; Wan L Lam; Shinichiro Miyoshi
Journal:  Cancer Res       Date:  2013-03-29       Impact factor: 12.701

3.  Phase I/II trial of vorinostat (SAHA) and erlotinib for non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations after erlotinib progression.

Authors:  Noemi Reguart; Rafael Rosell; Felipe Cardenal; Andres F Cardona; Dolores Isla; Ramon Palmero; Teresa Moran; Christian Rolfo; M Cinta Pallarès; Amelia Insa; Enric Carcereny; Margarita Majem; Javier De Castro; Cristina Queralt; Miguel A Molina; Miquel Taron
Journal:  Lung Cancer       Date:  2014-03-02       Impact factor: 5.705

4.  First-SIGNAL: first-line single-agent iressa versus gemcitabine and cisplatin trial in never-smokers with adenocarcinoma of the lung.

Authors:  Ji-Youn Han; Keunchil Park; Sang-We Kim; Dae Ho Lee; Hyae Young Kim; Heung Tae Kim; Myung Ju Ahn; Tak Yun; Jin Seok Ahn; Cheolwon Suh; Jung-Shin Lee; Sung Jin Yoon; Jong Hee Han; Jae Won Lee; Sook Jung Jo; Jin Soo Lee
Journal:  J Clin Oncol       Date:  2012-02-27       Impact factor: 44.544

5.  Gefitinib or chemotherapy for non-small-cell lung cancer with mutated EGFR.

Authors:  Makoto Maemondo; Akira Inoue; Kunihiko Kobayashi; Shunichi Sugawara; Satoshi Oizumi; Hiroshi Isobe; Akihiko Gemma; Masao Harada; Hirohisa Yoshizawa; Ichiro Kinoshita; Yuka Fujita; Shoji Okinaga; Haruto Hirano; Kozo Yoshimori; Toshiyuki Harada; Takashi Ogura; Masahiro Ando; Hitoshi Miyazawa; Tomoaki Tanaka; Yasuo Saijo; Koichi Hagiwara; Satoshi Morita; Toshihiro Nukiwa
Journal:  N Engl J Med       Date:  2010-06-24       Impact factor: 91.245

6.  Randomized phase II trial of erlotinib with and without entinostat in patients with advanced non-small-cell lung cancer who progressed on prior chemotherapy.

Authors:  Samir E Witta; Robert M Jotte; Katrik Konduri; Marcus A Neubauer; Alexander I Spira; Robert L Ruxer; Marileila Varella-Garcia; Paul A Bunn; Fred R Hirsch
Journal:  J Clin Oncol       Date:  2012-04-16       Impact factor: 44.544

7.  Restoring E-cadherin expression increases sensitivity to epidermal growth factor receptor inhibitors in lung cancer cell lines.

Authors:  Samir E Witta; Robert M Gemmill; Fred R Hirsch; Christopher D Coldren; Karla Hedman; Larisa Ravdel; Barbara Helfrich; Rafal Dziadziuszko; Daniel C Chan; Michio Sugita; Zeng Chan; Anna Baron; Wilbur Franklin; Harry A Drabkin; Luc Girard; Adi F Gazdar; John D Minna; Paul A Bunn
Journal:  Cancer Res       Date:  2006-01-15       Impact factor: 12.701

8.  Relative abundance of EGFR mutations predicts benefit from gefitinib treatment for advanced non-small-cell lung cancer.

Authors:  Qing Zhou; Xu-Chao Zhang; Zhi-Hong Chen; Xiao-Lu Yin; Jin-Ji Yang; Chong-Rui Xu; Hong-Hong Yan; Hua-Jun Chen; Jian Su; Wen-Zhao Zhong; Xue-Ning Yang; She-Juan An; Bin-Chao Wang; Yi-Sheng Huang; Zhen Wang; Yi-Long Wu
Journal:  J Clin Oncol       Date:  2011-07-25       Impact factor: 44.544

9.  EGFR-TKI resistance due to BIM polymorphism can be circumvented in combination with HDAC inhibition.

Authors:  Takayuki Nakagawa; Shinji Takeuchi; Tadaaki Yamada; Hiromichi Ebi; Takako Sano; Shigeki Nanjo; Daisuke Ishikawa; Mitsuo Sato; Yoshinori Hasegawa; Yoshitaka Sekido; Seiji Yano
Journal:  Cancer Res       Date:  2013-02-04       Impact factor: 12.701

10.  Sequential treatment of tyrosine kinase inhibitors and chemotherapy for EGFR-mutated non-small cell lung cancer: a meta-analysis of Phase III trials.

Authors:  Yiliang Zhang; Yihua Sun; Lei Wang; Ting Ye; Yunjian Pan; Haichuan Hu; Yongfu Yu; Naiqing Zhao; Yanyan Song; David Garfield; Haiquan Chen
Journal:  Onco Targets Ther       Date:  2013-11-29       Impact factor: 4.147

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  18 in total

1.  Isobolographic analysis demonstrates additive effect of cisplatin and HDIs combined treatment augmenting their anti-cancer activity in lung cancer cell lines.

Authors:  Ewelina Gumbarewicz; Jarogniew J Luszczki; Anna Wawruszak; Magdalena Dmoszynska-Graniczka; Aneta J Grabarska; Agata M Jarząb; Krzysztof Polberg; Andrzej Stepulak
Journal:  Am J Cancer Res       Date:  2016-12-01       Impact factor: 6.166

Review 2.  QT Interval Prolongation Associated With Cytotoxic and Targeted Cancer Therapeutics.

Authors:  Sanjay Chandrasekhar; Michael G Fradley
Journal:  Curr Treat Options Oncol       Date:  2019-05-25

3.  Epigenetic Therapeutics and Their Impact in Immunotherapy of Lung Cancer.

Authors:  Ju Hwan Cho; Filiz Oezkan; Michael Koenig; Gregory A Otterson; James Gordon Herman; Kai He
Journal:  Curr Pharmacol Rep       Date:  2017-10-14

4.  Suppression of Adaptive Responses to Targeted Cancer Therapy by Transcriptional Repression.

Authors:  Maria Rusan; Kapsok Li; Yvonne Li; Camilla L Christensen; Brian J Abraham; Nicholas Kwiatkowski; Kevin A Buczkowski; Bruno Bockorny; Ting Chen; Shuai Li; Kevin Rhee; Haikuo Zhang; Wankun Chen; Hideki Terai; Tiffany Tavares; Alan L Leggett; Tianxia Li; Yichen Wang; Tinghu Zhang; Tae-Jung Kim; Sook-Hee Hong; Neermala Poudel-Neupane; Michael Silkes; Tenny Mudianto; Li Tan; Takeshi Shimamura; Matthew Meyerson; Adam J Bass; Hideo Watanabe; Nathanael S Gray; Richard A Young; Kwok-Kin Wong; Peter S Hammerman
Journal:  Cancer Discov       Date:  2017-10-20       Impact factor: 39.397

Review 5.  Combining epigenetic drugs with other therapies for solid tumours - past lessons and future promise.

Authors:  Daphné Morel; Daniel Jeffery; Geneviève Almouzni; Sophie Postel-Vinay; Sandrine Aspeslagh
Journal:  Nat Rev Clin Oncol       Date:  2019-09-30       Impact factor: 66.675

Review 6.  Epigenetic treatment of solid tumours: a review of clinical trials.

Authors:  Clara Nervi; Elisabetta De Marinis; Giovanni Codacci-Pisanelli
Journal:  Clin Epigenetics       Date:  2015-12-10       Impact factor: 6.551

7.  Synergistic activity of vorinostat combined with gefitinib but not with sorafenib in mutant KRAS human non-small cell lung cancers and hepatocarcinoma.

Authors:  Victor Jeannot; Benoit Busser; Laetitia Vanwonterghem; Sophie Michallet; Sana Ferroudj; Murat Cokol; Jean-Luc Coll; Mehmet Ozturk; Amandine Hurbin
Journal:  Onco Targets Ther       Date:  2016-11-09       Impact factor: 4.147

8.  Bronchial biopsy specimen as a surrogate for DNA methylation analysis in inoperable lung cancer.

Authors:  Sang-Won Um; Hong Kwan Kim; Yujin Kim; Bo Bin Lee; Dongho Kim; Joungho Han; Hojoong Kim; Young Mog Shim; Duk-Hwan Kim
Journal:  Clin Epigenetics       Date:  2017-12-20       Impact factor: 6.551

9.  The histone deacetylase inhibitor SAHA induces HSP60 nitration and its extracellular release by exosomal vesicles in human lung-derived carcinoma cells.

Authors:  Claudia Campanella; Antonella D'Anneo; Antonella Marino Gammazza; Celeste Caruso Bavisotto; Rosario Barone; Sonia Emanuele; Filippa Lo Cascio; Emanuele Mocciaro; Stefano Fais; Everly Conway De Macario; Alberto J L Macario; Francesco Cappello; Marianna Lauricella
Journal:  Oncotarget       Date:  2016-05-17

Review 10.  Incidence, Diagnosis, and Management of QT Prolongation Induced by Cancer Therapies: A Systematic Review.

Authors:  Andreu Porta-Sánchez; Cameron Gilbert; Danna Spears; Eitan Amir; Joyce Chan; Kumaraswamy Nanthakumar; Paaladinesh Thavendiranathan
Journal:  J Am Heart Assoc       Date:  2017-12-07       Impact factor: 5.501

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