Literature DB >> 31440061

Frequency and clinical features of BRAF mutations among patients with stage III/IV lung adenocarcinoma without EGFR/ALK aberrations.

Ho Cheol Kim1, Yeh Rim Kang2, Wonjun Ji1, Yeon Joo Kim1, Shinkyo Yoon3, Jae Cheol Lee3, Chang-Min Choi1,3.   

Abstract

PURPOSE: BRAF mutations are found in 1-5% of non-small cell lung cancers, particularly adenocarcinomas. However, information regarding this mutation is limited in patients without EGFR/ALK aberrations, who have limited treatment options. PATIENTS AND METHODS: The medical records of 224 stage III/IV adenocarcinoma patients without EGFR/ALK aberrations and with available pathologic tissue, were retrospectively reviewed. BRAF mutations were evaluated using a PNAClampTM BRAF mutation detection kit (Panagene, Daejeon, Korea). The outcomes in the study population were compared with stage III/IV adenocarcinoma patients harboring an EGFR mutation. A case report of targeted therapy against BRAF mutations was also presented.
RESULTS: A cohort of 222 adenocarcinoma patients with adequate pathologic tissue samples was analyzed. The median patient age was 63 years, 68.8% of the patients were male and 68.7% were ever-smokers. The V600E BRAF mutation was detected in 4 patients (1.8%). The 222 study patients had a poorer survival outcome compared to stage III/IV adenocarcinoma patients with an EGFR mutation (median, 12 vs 67 months, P<0.001) from a recent previous study. Moreover, a 47-year-old female with a recurrent adenocarcinoma and a BRAF V600E mutation exhibited tumor regression after a fourth line therapy with dabrafenib and trametinib, targeting agents against BRAF mutations.
CONCLUSION: Although BRAF mutations are found in 1.8% of advanced adenocarcinoma patients without EGFR/ALK aberration, they may be able to serve as a treatment target in those patients.

Entities:  

Keywords:  BRAF; adenocarcinoma; lung cancer

Year:  2019        PMID: 31440061      PMCID: PMC6666367          DOI: 10.2147/OTT.S213928

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Lung cancer is a leading cause of cancer-related mortality, causing approximately 25% of cancer deaths.1 Specific genetic aberrations and diverse molecular pathways have been recently described in lung tumors, which has led to the development of numerous targeted therapies.2 As a representative example, epidermal growth factor receptor (EGFR)-targeted tyrosine kinase inhibitors are an important established treatment option for patients with EGFR mutation-positive tumors.3,4 In addition, anaplastic lymphoma kinase (ALK) inhibitors have been found to be effective in non-small cell lung cancer (NSCLC) patients with ALK rearrangements.5 In addition to EGFR mutations and ALK rearrangements, genomic analyses have identified other driver mutations in the pathogenesis of lung cancer.6 One is the B-Raf and V-Raf murine sarcoma viral oncogene homolog (BRAF), which encodes a serine-threonine kinase within the MAPK signaling pathway.7 BRAF mutations were initially detected in approximately 50% of melanomas8 and are regarded as important therapeutic targets for patients diagnosed with that type of cancer.9,10 BRAF mutations have also been detected in 1 to 5% of NSCLCs, particularly in adenocarcinomas.11,12 Although there have been several previous reports on BRAF mutations in Asian lung cancer cohorts,13–15 data on these mutations are lacking in adenocarcinoma patients without EGFR/ALK aberrations, who are known to have limited treatment options. Our present study aims to investigate the incidence of BRAF mutations among advanced adenocarcinoma patients without EGFR/ALK aberrations and analyze the clinical characteristics of these cases.

Materials and methods

Study populations and methods

This retrospective cohort study was performed at the Asan Medical Center, a tertiary referral hospital in Seoul, South Korea. The study population was comprised of 224 patients with stage III/IV lung adenocarcinoma diagnosed between July 2010 and June 2017, which did not have EGFR/ALK aberrations and for which pathologic tissue samples were available. Two patients in the initial cohort of 224 cases had insufficient pathologic tissue and were excluded from further analysis. The included patients were classified into two groups based on their BRAF mutation status. The study flow chart is shown in Figure 1. Clinical data regarding patient age, sex, smoking history, clinical stage (according to the seventh edition of the TNM International Staging System), treatment modality, results of molecular tests for BRAF mutation and survival data for the included patients were retrospectively collected from medical records, telephone interviews, and/or records from the National Health Insurance of Korea. The study protocol was approved by the Institutional Review Board of Asan Medical Center (approval number: 2018-1109) and written informed consent for the use of tissue samples for clinical research was obtained from all patients or their appropriate family members. The prognoses of the study patients were compared with those of patients with stage III/IV lung adenocarcinoma which harbored an EGFR mutation, which had been described in our previous study.16
Figure 1

Study flow chart.

Study flow chart.

Evaluation of BRAF mutations

We used the PNAClampTM BRAF mutation detection kit (Panagene, Daejeon, Korea) to detect the BRAF V600E mutation. This kit is based on peptide nucleic acid-mediated real-time PCR clamping technology. All reactions were conducted in a final volume of 20 μL and contained template DNA, primers, PNA probe, and a SYBR green PCR master mix. Real-time PNA-clamping PCR was performed using a CFX96 real-time PCR system (Bio-Rad, Pleasanton, CA). The cycling conditions included a 5 min hold at 94 °C followed by 40 cycles of 30 seconds at 94 °C, 20 seconds at 70 °C, 30 seconds at 63 °C, and 30 seconds at 72 °C. In the assay, the PNA probe and primers were represented by separate oligonucleotides, with the PNA probe recognizing a region located between the regions of the template complementary to the forward and reverse primers. Positive signals were detected via the intercalation of the SYBR green fluorescent dye. The PNA probe sequences, which were complementary to the wild-type BRAF (V600E), enhanced the preferential amplification of mutant sequences by competitively inhibiting the amplification of wild-type sequences (Figure 2). PCR efficiency was determined by measuring the cycle threshold (CT) value. CT values for the control and mutation assays were obtained by observing the SYBR green amplification plots. The delta CT (ΔCT) value was calculated by subtracting the CT value of a tested sample from the standard CT value of a clamping control sample ([Standard CT] – [Sample CT] = ΔCT-1). The sample was considered positive if the value of ΔCT-1 was greater than 2, as verified in a previous study.17
Figure 2

Principle of the PNAClampTM BRAF mutation detection kit.

Principle of the PNAClampTM BRAF mutation detection kit.

Statistical analysis

Continuous variables were expressed as the mean ± standard deviation (SD) or median (interquartile range [IQR]), and categorical variables as percentages. Continuous variables were compared using a Mann-Whitney U test, and categorical variables using either a chi-square or Fisher’s exact test, as appropriate. Risk factors for mortality were analyzed using Cox proportional hazards models. Variables with a P-value <0.10 on univariate analysis were used in the multivariate analysis. Survival was analyzed by the Kaplan-Meier method and compared by log-rank tests. All P-values were two-tailed, with a P-value of <0.05 being considered statistically significant. All statistical analyses were performed using SPSS 20.0 (IBM Corporation, Armonk, NY).

Results

Patient characteristics

A total of 222 patients with lung cancer, without EGFR/ALK aberrations, and with adequate pathologic sample tissues were included in this study. The baseline and clinical characteristics of these patients are summarized in Table 1. The median patient age was 63 years (interquartile range, 57–71 years), with 68.8% of patients being male, =68.7% being ever-smokers. Patients included in the study had either stage III (24.3%) or stage IV (75.7%) lung cancer. The treatments received at initial diagnosis by the patients in the study cohort included chemotherapy (70.3%), radiation therapy (41.4) or surgery (10.8%). By using PNA-clamping PCR, we detected a BRAF mutation in 4 patients (1.8%), all of whom had the V600E mutation (Figure 3). Notably, there were no differences in patient characteristics between subjects with and without this BRAF mutation.
Table 1

Baseline and clinical characteristics of the study patients in accordance with their BRAF V600E mutation status

TotalBRAF V600E mutationBRAF wild typeP-value
Patients number2224218
Age, years63 [57–71]71 [58–76]63 [57–71]0.309
Male sex154 (68.8)3 (75.0)150 (68.8)>0.999
Ever-smoker (n=201)138 (68.7)2 (50.0)136 (69.0)0.591
Clinical stage>0.999
 III54 (24.3)1 (25.0)53 (24.3)
 IV168 (75.7)3 (75.0)165 (75.7)
Surgery24 (10.8)1 (25.0)23 (10.6)0.369
Chemotherapy156 (70.3)3 (75.0)153 (70.2)>0.999
Radiation therapy92 (41.4)092 (42.2)0.144
Best supportive care38 (17.4)038 (17.1)>0.999

Note: Data are presented as a median (interquartile range), or number (%), unless otherwise indicated.

Figure 3

Detection of the BRAF mutation in the study population.

Baseline and clinical characteristics of the study patients in accordance with their BRAF V600E mutation status Note: Data are presented as a median (interquartile range), or number (%), unless otherwise indicated. Detection of the BRAF mutation in the study population.

Risk factors for mortality in the study population

One hundred and seventy-nine (80.6%) patients died during follow-up. By using univariate Cox analysis, we determined that male sex (hazard ratio [HR], 1.503; 95% confidence interval [CI], 1.083–2.087, P=0.015) and best supportive care (HR, 1.639; 95% CI, 1.111–2.416, P=0.013) were significant predictors of mortality (Table 2). In addition, old age and ever-smoker status were marginally associated with a poorer prognosis. However, after performing multivariate analysis, our results showed that only best supportive care (HR, 2.252; 95% CI, 1.408–3.600, P=0.001) was an independent predictor of mortality (Table 2).
Table 2

Risk factors for mortality in the study patients assessed by using the Cox proportional hazards model

Univariate analysisMultivariate analysis
Hazard ratio95% CIP-valueHazard ratio95% CIP-value
Age1.0140.999–1.0290.0671.0000.985–1.0170.952
Male sex1.5031.083–2.0870.0151.5410.819–2.9010.180
Ever-smoker1.3430.956–1.8850.0891.0390.564–1.9110.903
BRAF V600E mutation0.4780.118–1.9290.300
Best supportive care1.6391.111–2.4160.0132.2521.408–3.6000.001
Risk factors for mortality in the study patients assessed by using the Cox proportional hazards model

Comparison between the study population and patients with an EGFR mutation

We compared the baseline characteristics of our current study cohort of 222 patients with our previously reported cohort of 239 stage III/IV adenocarcinoma patients with an EGFR mutation (Table 3). The patients included in this study were older, more likely to be male and ever-smokers, and had a less advanced disease stage when compared with the previously analyzed cohort. Kaplan-Meier survival analysis further revealed that the patients included in this study had a significantly poorer survival outcome that the previously analyzed cohort. (median survival: 12 vs 67 months, P<0.001, Figure 4).
Table 3

Comparison of the baseline characteristics between the study population and patients with an EGFR mutation

TotalStudy populationEGFR mutation populationP-value
Patients number461222239
Age, years60 [52–69]63 [57–71]57 [50–64]<0.001
Male sex241 (52.3)153 (68.9)88 (36.5)<0.001
Ever-smoker (n=440)209 (47.5)138 (68.7)71 (29.7)<0.001
Clinical stage<0.001
 III82 (17.8)54 (24.3)28 (11.7)
 IV379 (82.2)168 (75.7)211 (88.3)

Note: Data are presented as a median (interquartile range), or number (%), unless otherwise indicated.

Figure 4

Kaplan-Meier survival curves comparing the study population with patients harboring an EGFR mutation.

Comparison of the baseline characteristics between the study population and patients with an EGFR mutation Note: Data are presented as a median (interquartile range), or number (%), unless otherwise indicated. Kaplan-Meier survival curves comparing the study population with patients harboring an EGFR mutation.

Clinical course of a study patient harboring a BRAF V600E mutation who received targeted therapy

Recently, a patient diagnosed with lung adenocarcinoma without EGFR/ALK aberrations but harboring a BRAF V600E mutation received BRAF-mutation targeted therapy at our hospital. This case was not included in the main study cohort. The patient was a 47-year-old female, which had been diagnosed at our hospital with adenocarcinoma in her left lower lobe five years prior and subsequently underwent a left lower lobe lobectomy. Her pathologic TNM stage was T2N0M0, with the cancer cells harboring a BRAF V600E mutation but not EGFR/ALK aberrations. Following the surgical intervention, she received adjuvant chemotherapy (cisplatin + vinorelbine). However, tumor recurrence occurred in both lung fields after approximately 3 years. She then received treatment with gemcitabine + cisplatin (5 months), pemetrexed (11 months), and nivolumab (9 months), but showed further disease progression. However, subsequent treatment with dabrafenib and trametinib after three previous lines of chemotherapy resulted in regression of the tumor after one month (Figure 5). At the time this paper was written, this patient had been undergoing treatment with dabrafenib and trametinib for eight months and being followed-up on.
Figure 5

Response of a metastatic adenocarcinoma patient to dabrafenib and trametinib. The red arrows indicate the reduced mass.

Response of a metastatic adenocarcinoma patient to dabrafenib and trametinib. The red arrows indicate the reduced mass.

Discussion

Our results showed that 4/222 (1.8%) of the advanced lung adenocarcinoma patients without EGFR/ALK aberrations harbored a V600E BRAF mutation. Due to the rarity of this phenotype, the differences between the baseline characteristics and clinical outcomes of the patients included in the study with and without a BRAF mutation could not be readily evaluated. However, we further describe a case report of a patient with lung adenocarcinoma which had a BRAF mutation that was not included in the study cohort, who benefitted from BRAF-mutation targeted therapy. This is especially notable as adenocarcinoma patients without EGFR/ALK aberrations generally have limited treatment options. The activation and disruption of specific signaling pathways are often associated with the development and progression of human cancer.18,19 The most well-known of these is the EGFR mutation and ALK rearrangement, which have led to the development of targeted therapies.5,20 In addition, there are various other molecular targets of interest for novel cancer therapy development such as ROS1, HER2, c-MET, RET, PIK3CA, FGFR1 and DDR2.21 BRAF mutations are among the relatively well known oncogenic drivers and directly interact with the MEK-ERK signaling cascade.22 Moreover, BRAF mutations have been presently reported in approximately 1–5% of NSCLCs (mainly in adenocarcinomas),11–15,23,24 which is consistent with the frequency found in our current study. To the best our knowledge, no prior study has investigated the prevalence of these variations in adenocarcinoma patients without EGFR/ALK aberrations. All of the patients with a BRAF mutation in our current cohort harbored the V600E variant. In contrast to other malignancies, such as malignant melanoma, many previous studies have reported that only 50% of BRAF mutations in lung cancer are V600E.25–28 However, Villaruz et al reported that 17/21 lung cancer patients with a BRAF mutation harbored the V600E variant, which is concordant with our findings29 The discrepancies of these results may be due to differences in the study populations. Indeed, here, we only included patients with advanced adenocarcinoma and without EGFR/ALK aberrations, which may have affected our results. In addition, ethnic differences between studies may be a factor. Further studies of larger populations will be needed to confirm these findings. The reported overall median survival rate of advanced or metastatic NSCLC patients with BRAF mutations has varied considerably in previous studies, ranging from 9 to 56 months.27–31 This is likely due to differences between study populations, including the type of BRAF mutation, presence or absence of an EGFR mutation, and the targeted therapy administered. Although only 4 of the patients in our study cohort presented with a BRAF mutation, the median survival rate in these cases was 23 months, which is comparable to previous findings. The patients in this study received no targeted therapies, as they only became commercially available in 2017. Notably, one recent advanced lung cancer patient without EGFR/ALK aberrations, but with a BRAF mutation, participated in a clinical trial of the targeted therapy agents dabrafenib and trametinib at our hospital and showed a promising clinical outcome. There is now growing evidence that these drugs are effective in these types of cases.32,33 In a phase 2 study, 26 patients (33%) treated with dabrafenib showed an investigator-assessed overall response among 84 patients with stage IV lung cancer and with a BRAF mutation.32 Moreover, in another phase 2 study, 36 patients (63.2%) treated with dabrafenib and trametinib showed an investigator-assessed overall response among 59 patients with stage IV lung cancer and with a BRAF mutation. Thus, these agents might become an important treatment option in the near future. This study had some notable limitations. Firstly, due to the retrospective nature of our analysis, BRAF mutation analysis was not performed in all of the included advanced adenocarcinoma cases. This may have introduced a selection bias. Secondly, the patients included in the study patients were selected only from our own single tertiary referral center which may reduce the general applicability of our findings. Thirdly, as BRAF mutations were detected in only 4 of the patients included in the study (1.8% of the total subjects), statistical comparisons could not be reliably performed. Finally, as our study only investigated BRAF mutations which showed low frequency in our study cohort, it is still necessary to investigate other gene mutations that might be clinically helpful. However, we believe that our current results enhance our understanding of the effect of BRAF mutations in advanced lung adenocarcinoma without EGFR/ALK aberrations, particularly in Asian populations.

Conclusion

In conclusion, BRAF mutations occur at a low frequency in advanced lung adenocarcinoma patients without EGFR/ALK aberrations. However, BRAF-mutation targeted therapy might be effective in these unusual cases. As such, a larger scale study is needed in the near future to further evaluate this possibility.
  33 in total

1.  Missense mutations of the BRAF gene in human lung adenocarcinoma.

Authors:  Katsuhiko Naoki; Tzu-Hsiu Chen; William G Richards; David J Sugarbaker; Matthew Meyerson
Journal:  Cancer Res       Date:  2002-12-01       Impact factor: 12.701

2.  Mechanism of activation of the RAF-ERK signaling pathway by oncogenic mutations of B-RAF.

Authors:  Paul T C Wan; Mathew J Garnett; S Mark Roe; Sharlene Lee; Dan Niculescu-Duvaz; Valerie M Good; C Michael Jones; Christopher J Marshall; Caroline J Springer; David Barford; Richard Marais
Journal:  Cell       Date:  2004-03-19       Impact factor: 41.582

3.  Uncommon V599E BRAF mutations in Japanese patients with lung cancer.

Authors:  Hidefumi Sasaki; Osamu Kawano; Katsuhiko Endo; Eriko Suzuki; Hiroshi Haneda; Haruhiro Yukiue; Yoshihiro Kobayashi; Motoki Yano; Yoshitaka Fujii
Journal:  J Surg Res       Date:  2005-12-27       Impact factor: 2.192

4.  EGFR mutation and resistance of non-small-cell lung cancer to gefitinib.

Authors:  Susumu Kobayashi; Titus J Boggon; Tajhal Dayaram; Pasi A Jänne; Olivier Kocher; Matthew Meyerson; Bruce E Johnson; Michael J Eck; Daniel G Tenen; Balázs Halmos
Journal:  N Engl J Med       Date:  2005-02-24       Impact factor: 91.245

5.  Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib.

Authors:  Thomas J Lynch; Daphne W Bell; Raffaella Sordella; Sarada Gurubhagavatula; Ross A Okimoto; Brian W Brannigan; Patricia L Harris; Sara M Haserlat; Jeffrey G Supko; Frank G Haluska; David N Louis; David C Christiani; Jeff Settleman; Daniel A Haber
Journal:  N Engl J Med       Date:  2004-04-29       Impact factor: 91.245

6.  Somatic mutations affect key pathways in lung adenocarcinoma.

Authors:  Li Ding; Gad Getz; David A Wheeler; Elaine R Mardis; Michael D McLellan; Kristian Cibulskis; Carrie Sougnez; Heidi Greulich; Donna M Muzny; Margaret B Morgan; Lucinda Fulton; Robert S Fulton; Qunyuan Zhang; Michael C Wendl; Michael S Lawrence; David E Larson; Ken Chen; David J Dooling; Aniko Sabo; Alicia C Hawes; Hua Shen; Shalini N Jhangiani; Lora R Lewis; Otis Hall; Yiming Zhu; Tittu Mathew; Yanru Ren; Jiqiang Yao; Steven E Scherer; Kerstin Clerc; Ginger A Metcalf; Brian Ng; Aleksandar Milosavljevic; Manuel L Gonzalez-Garay; John R Osborne; Rick Meyer; Xiaoqi Shi; Yuzhu Tang; Daniel C Koboldt; Ling Lin; Rachel Abbott; Tracie L Miner; Craig Pohl; Ginger Fewell; Carrie Haipek; Heather Schmidt; Brian H Dunford-Shore; Aldi Kraja; Seth D Crosby; Christopher S Sawyer; Tammi Vickery; Sacha Sander; Jody Robinson; Wendy Winckler; Jennifer Baldwin; Lucian R Chirieac; Amit Dutt; Tim Fennell; Megan Hanna; Bruce E Johnson; Robert C Onofrio; Roman K Thomas; Giovanni Tonon; Barbara A Weir; Xiaojun Zhao; Liuda Ziaugra; Michael C Zody; Thomas Giordano; Mark B Orringer; Jack A Roth; Margaret R Spitz; Ignacio I Wistuba; Bradley Ozenberger; Peter J Good; Andrew C Chang; David G Beer; Mark A Watson; Marc Ladanyi; Stephen Broderick; Akihiko Yoshizawa; William D Travis; William Pao; Michael A Province; George M Weinstock; Harold E Varmus; Stacey B Gabriel; Eric S Lander; Richard A Gibbs; Matthew Meyerson; Richard K Wilson
Journal:  Nature       Date:  2008-10-23       Impact factor: 49.962

Review 7.  Raf kinases: function, regulation and role in human cancer.

Authors:  Deborah T Leicht; Vitaly Balan; Alexander Kaplun; Vinita Singh-Gupta; Ludmila Kaplun; Melissa Dobson; Guri Tzivion
Journal:  Biochim Biophys Acta       Date:  2007-05-22

8.  Mutations of the BRAF gene in human cancer.

Authors:  Helen Davies; Graham R Bignell; Charles Cox; Philip Stephens; Sarah Edkins; Sheila Clegg; Jon Teague; Hayley Woffendin; Mathew J Garnett; William Bottomley; Neil Davis; Ed Dicks; Rebecca Ewing; Yvonne Floyd; Kristian Gray; Sarah Hall; Rachel Hawes; Jaime Hughes; Vivian Kosmidou; Andrew Menzies; Catherine Mould; Adrian Parker; Claire Stevens; Stephen Watt; Steven Hooper; Rebecca Wilson; Hiran Jayatilake; Barry A Gusterson; Colin Cooper; Janet Shipley; Darren Hargrave; Katherine Pritchard-Jones; Norman Maitland; Georgia Chenevix-Trench; Gregory J Riggins; Darell D Bigner; Giuseppe Palmieri; Antonio Cossu; Adrienne Flanagan; Andrew Nicholson; Judy W C Ho; Suet Y Leung; Siu T Yuen; Barbara L Weber; Hilliard F Seigler; Timothy L Darrow; Hugh Paterson; Richard Marais; Christopher J Marshall; Richard Wooster; Michael R Stratton; P Andrew Futreal
Journal:  Nature       Date:  2002-06-09       Impact factor: 49.962

Review 9.  Targeting RAS signalling pathways in cancer therapy.

Authors:  Julian Downward
Journal:  Nat Rev Cancer       Date:  2003-01       Impact factor: 60.716

Review 10.  The protein kinase B/Akt signalling pathway in human malignancy.

Authors:  Karleen M Nicholson; Neil G Anderson
Journal:  Cell Signal       Date:  2002-05       Impact factor: 4.315

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