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The association between BRAF mutation class and clinical features in BRAF-mutant Chinese non-small cell lung cancer patients

Journal of Translational Medicine volume 17, Article number: 298 (2019) Cite this article

Abstract

Background

BRAF mutations occur in 2–4% non-small cell lung cancer (NSCLC) patients and can be categorized into three functional classes based on signaling mechanism and kinase activity: RAS-independent kinase-activating V600 monomers (class 1), RAS-independent kinase-activating dimers (class 2) and RAS-dependent kinase-inactivating heterodimers (class 3). The association between functional classes and clinical features in Chinese NSCLC patients remains unexplored. Our multi-center study aimed to survey the BRAF mutation rate and analyze the associated clinical features in this population.

Methods

Capture-based sequencing data of either plasma or tissue samples obtained from 8405 Chinese stage I–IV NSCLC patients were retrospectively analyzed.

Results

BRAF mutations were detected in 238 patients, revealing an overall mutation rate of 2.8%. Among them, 32%, 21% and 13% had BRAF mutant class 1, 2 and 3 respectively. The remaining 34% had other BRAF mutations. V600 (32%) and G469 (13%) were the two most predominant BRAF mutations. Patients with class 2 and 3 mutations were more likely to have concurrent KRAS mutations (P = 0.001). Collectively, BRAF mutations, including non-class 1–3 mutations, were more likely to occur in males (P < 0.01). However, females were more likely to harbor class 1 mutations (P < 0.02). We also compared the overall survival (OS) of first-line chemotherapy-treated advanced-stage patients and revealed comparable OS among the three groups.

Conclusion

Our study revealed a 2.8% BRAF mutation rate in Chinese NSCLC patients. Our data also showed a male predominance when all BRAF mutations were considered collectively, and a female predominance for class 1 mutations. Furthermore, BRAF V600E is less likely to have concurrent KRAS mutations comparing to the other two classes.

Background

The discovery of oncogenic drivers has revolutionized the therapeutic management of cancer patients to a more personalized approach based on the genomic alterations detected in the patient’s tumor. Genomic studies on non-small cell lung cancer (NSCLC) have identified B-Raf proto-oncogene (BRAF) as one of the major oncogenic drivers, occurring in 2–4% NSCLC patients [1, 2]. Mutations in BRAF, a cytosolic serine/threonine kinase downstream of the Kirsten rat sarcoma oncogene (KRAS), result in the constitutive activation of the mitogen-activated protein kinase (MAPK) signaling pathway, promoting cell growth and proliferation [3,4,5]. A vast majority of BRAF mutations are localized in the kinase domain, including the most commonly observed V600E mutation [6]. In addition to V600E, other non-V600E mutations with distinct kinase activity have also been reported [6]. Based on the mechanism of activation, kinase activity, and sensitivity to inhibitors, a functional mutation classification system has been recently introduced. According to functional class, RAS-independent kinase-activating V600 monomers are categorized as class 1; RAS-independent kinase-activating dimers that are resistant to vemurafenib are categorized as class 2; and RAS-dependent kinase-inactivating heterodimers are categorized as class 3 [6, 7]. Studies have shown that advanced NSCLC patients with class 1 V600E mutations have unfavorable prognosis with first-line chemotherapy relative to BRAF wild-type patients [8, 9]. BRAF inhibitor monotherapy or in combination with a MEK inhibitor, significantly improves their survival outcomes [10,11,12,13,14]. Studies on V600E-mutant NSCLC patients demonstrated an overall response rate (ORR) of 42% and a median progression-free survival (PFS) of 7.3 months for vemurafenib used as a single agent [11] and an ORR of 33% and PFS of 5.5 months for dabrafenib used as monotherapy [12]. Other studies have evaluated the efficacy of combinatorial treatment, consisting of a BRAF inhibitor, dabrafenib and a MEK inhibitor, trametinib and reported an ORR of 63% and PFS of 9.7 months [13, 14]. On the contrary, the prognosis of patients with non-V600 class 2 and 3 mutations remains controversial, with some reports demonstrating a trend of better prognosis [9, 15] and others showing a trend of less favorable prognosis [16, 17] but some of these findings did not reach statistically significant difference compared with V600E-mutant patients [9, 15, 17]. Meanwhile, some studies have also demonstrated that patients with non-V600 mutations to have comparable prognosis with BRAF wild-type patients [8].

Numerous reports have elucidated the prevalence, distribution and prognosis of Chinese BRAF-mutant NSCLC patients; however, most of these studies focused on V600E with limited number of patients [18, 19]. In addition, most of the studies have employed traditional molecular testing methods which restricted the discovery of non-V600E mutations [15, 18,19,20]. In our present multi-center study, we retrospectively analyzed the next-generation sequencing data of 8405 Chinese NSCLC patients from 5 cancer centers to survey the prevalence of BRAF mutations, to investigate the distribution of BRAF mutations according to the new functional classification system, and to analyze the association between functional class and clinical features in this population.

Patients and methods

Patient data

Targeted sequencing results obtained from 4407 plasma and 3998 tissue samples of NSCLC patients who underwent comprehensive molecular testing at Burning Rock Biotech between May 2015 to October 2018 were retrospectively screened for BRAF mutations. Medical records from the BRAF-mutant patients were retrieved to gather clinicopathologic data, treatment history and survival outcome. This study has been approved by the relevant Institutional Review Board of all the participating hospitals. Written informed consent was provided by all the patients included in the study.

Tissue and cell-free DNA isolation

Tissue DNA was extracted from formalin-fixed, paraffin-embedded (FFPE) tumor tissues using QIAamp DNA FFPE tissue kit (Qiagen). Likewise, circulating cell-free DNA (cfDNA) was recovered from 4 to 5 ml of plasma using the QIAamp Circulating Nucleic Acid kit (Qiagen).

Capture-based targeted DNA sequencing

A minimum of 50 ng of DNA is required for NGS library construction. Tissue DNA was sheared using Covaris M220 (Covaris, MA, USA), followed by end repair, phosphorylation and adaptor ligation. Fragments between 200 and 400 bp from the cfDNA and sheared tissue DNA were purified (Agencourt AMPure XP Kit, Beckman Coulter, CA, USA), followed by hybridization with capture probes baits, hybrid selection with magnetic beads and PCR amplification. The quality and the size of the fragments were assessed using Qubit 2.0 fluorimeter with the dsDNA high-sensitivity assay kit (Life Technologies, Carlsbad, CA). Indexed samples were sequenced on Nextseq 500 (Illumina, Inc., USA) with paired-end reads and average sequencing depth of 1,000X and 10,000X for tissue and plasma samples, respectively. Panels from Burning Rock Biotech including 8 lung cancer actionable genes (Lung Cure), 68 lung cancer-related genes (Lung Core), 168 genes including 68 lung cancer-related genes and 100 other genes related to cancer development (Lung Plasma) or 295 cancer-related genes (OncoScreen) were used for targeted sequencing.

Sequence data analysis

Sequence data were mapped to the reference human genome (hg19) using Burrows-Wheeler Aligner v.0.7.10. Local alignment optimization and variant calling were performed using Genome Analysis Tool Kit v.3.2 and VarScan. Variants were filtered using the VarScan fpfilter pipeline, loci with depth less than 100 were filtered out. Base calling in plasma and tissue samples required at least 8 supporting reads for single nucleotide variations (SNV) and 2 and 5 supporting reads for insertion-deletion variations (INDEL), respectively. Variants with population frequency over 0.1% in the ExAC, 1000 Genomes, dbSNP or ESP6500SI-V2 databases were grouped as single nucleotide polymorphisms (SNP) and excluded from further analysis. Remaining variants were annotated with ANNOVAR and SnpEff v.3.6. Analysis of DNA translocation was performed using Factera v.1.4.3. Copy number variations (CNV) were analyzed based on the depth of coverage data of capture intervals. Coverage data were corrected against sequencing bias resulting from GC content and probe design. The average coverage of all captured regions was used to normalize the coverage of different samples to comparable scales. Copy number was calculated based on the ratio between the depth of coverage in tumor samples and average coverage of an adequate number (n > 50) of samples without copy number variation as references as to each capture interval. CNV is called if the coverage data of the gene region was quantitatively and statistically significant from its reference control. The limit of detection for CNVs is 1.5 and 2.64 for deletions and amplifications, respectively.

BRAF mutation classification

BRAF mutations were classified based on their functional class according to the new classification system and summarized in Table 1 [6, 7].

Table 1 BRAF mutations included in each functional class
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Statistical analysis

Differences in the groups were calculated and presented using either Fisher’s exact test or paired, two-tailed Student’s t test, as appropriate. Associations of BRAF mutation status with clinical features were analyzed using univariate logistic regression analysis. Binomial proportion was used to analyze the gender distribution within the mutation class. Overall survival was defined from the date of diagnosis until the day of death or last day of follow-up. Overall survival curve was estimated using Kaplan–Meier method and the differences among the groups were evaluated using the log-rank test. P-value with P < 0.05 was considered as statistically significant. All the data were analyzed using R statistics package (R version 3.4.0; R: The R-Project for Statistical Computing, Vienna, Austria).

Results

Patient characteristics

To survey the prevalence of BRAF mutations in Chinese NSCLC patients, 8405 patients who underwent comprehensive molecular testing using capture-based targeted next-generation sequencing were screened. The screened population consisted of 56% (4707/8405) males and 44% (3698/8405) females, with a median age of 61 years.

Among the screened population, BRAF mutations were detected in 238 patients. Of the BRAF-mutant patients, 65.5% (156/238) were males and 33.6% (80/238) were females, revealing a male predominance (P < 0.01). The median age was 61 years, ranging from 33 to 86 years. A majority was diagnosed with adenocarcinoma (79%, 188/238), 11.3% (27/238) had adenosquamous carcinoma, 7.6% (18/238) had squamous cell carcinoma, and 2.1% (5/238) had large cell carcinoma. Thirty-one percent (31%, 74/238) were stage I-IIIA and 69% (164/238) were stage IIIB-IV. A total of 9 V600E mutant patients were administered with BRAF inhibitors, including vemurafenib (n = 7), dabrafenib (n = 1) and combination therapy of dabrafenib and trametinib (n = 1). Twenty-eight patients (11.8%, 28/238) with concurrent sensitizing EGFR mutations received EGFR inhibitors. Among them 3 were V600E mutant, 7 were G469X mutants, 3 were G466X mutants, 1 was N581S mutant and the remaining had other BRAF mutations. The remaining 183 patients, including 62 V600E, 1 V600L and 136 non-V600E-mutant patients received chemotherapy either as first-line therapy or adjuvant therapy. The clinical and pathological features of the BRAF-mutant patients were summarized in Table 2.

Table 2 Clinicopathologic characteristics of the 238 BRAF-mutant NSCLC patients
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Prevalence of BRAF mutations and their distribution

Of the 8405 NSCLC patients, a total of 245 BRAF mutations were detected in 238 patients, revealing an overall mutation rate of 2.8%. Among them, 31.5% (75/238), 21.4% (51/238), 13.4% (32/238) of the patients had BRAF mutant class 1, 2 and 3, respectively. The remaining 33.6% (80/238) of the patients had BRAF mutations not classified as class 1–3 (Fig. 1a). All patients with Class 1 V600 mutations had V600E (n = 74) except for 1 patient who had V600L (Fig. 1a and Additional file 1: Figure S1A). The detailed distributions of patients with class 2 or 3 mutations were shown in Fig. 1b, c, respectively. Of the patients with class 2 mutations, G469 (13.1%, 32/245), including G469A (n = 20), G469 V (n = 8), G469R (n = 3) and G469S (n = 1), was the most predominant mutation (Fig. 1b, Additional file 1: Figure S1A). Among the class 3 mutations, G466 (7 G466 V, 3 G466E and 1 G466A) and D594 (6 D594G and 4 D594 N) were the 2 most predominant mutations (Fig. 1c, Additional file 1: Figure S1A).

Fig. 1
figure 1

BRAF mutation distribution. a Distribution of BRAF-mutant patients categorized according to class. The detection rate of the mutations in class 2 (b) and class 3 (c). X-axis denotes the BRAF mutations. Y-axis denotes the mutation detection rate. The numbers on the bars indicate the corresponding detection count, or the total number of patients with the specified mutation

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Collectively, a vast majority of the BRAF mutations detected in our cohort were missense mutations (84.5%, 207/245). Other less frequent mutation types included nonsense mutations, small insertion-deletions, splice site variants, frameshifts, fusions and copy number variations (CNVs) (Table 3). In addition to the detection of common and other previously reported mutations, we identified 66 BRAF mutations which were not included in the Catalogue of Somatic Mutations in Cancer (COSMIC) variant database. A majority (94%, 63/66) of the novel BRAF mutations were non-class 1–3; while the remaining 3 were class 2 mutations. The novel BRAF mutations detected in the cohort were summarized in Additional file 2: Table S1 and were depicted with two asterisks (**) in Additional file 1: Figure S1A and B. Furthermore, 7 patients (2.9%, 7/238) had compound BRAF mutations. The BRAF mutations detected in these 7 patients were summarized in Additional file 2: Table S2. Among these 7 patients, 1 patient had concurrent class 1 BRAF V600E and BRAF amplification; 2 patients had a class 2 mutation in combination with an “other mutation” (non-class 1–3 mutation); 1 patient had concurrent class 3 (N581S) and non-class 1–3 (D66E) BRAF mutations. Both mutations of the remaining 3 patients were non-class 1–3 BRAF mutations. Of the patients with compound non-class 1–3 BRAF mutations, 2 patients had mutations that were in cis including a male patient with L858F in cis to L505H (Additional file 1: Figure S2B) and a female patient with BRAF S316L in cis to S317C (Additional file 1: Figure S2C) who also had concurrent EGFR exon 19 deletion.

Table 3 BRAF mutation types detected in the cohort
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Concurrent oncogenic driver mutations

Next, we investigated classic lung cancer driver mutations that co-occur with BRAF mutations in this cohort. Collectively, 76 patients had concurrent NSCLC driver mutations, including 49 with EGFR, 16 with KRAS, 4 with ERBB2 amplifications, 3 with MET alterations, 3 with ALK fusions, and 2 with ROS1 fusions (Fig. 2a, Additional file 2: Table S3). When all the classic NSCLC driver mutations were considered collectively, there was no correlation between the likelihood of having concurrent oncogenic driver mutations and BRAF mutation class (P = 0.66). Further univariate analyses revealed that class 1 BRAF mutations were mutually exclusive with KRAS mutations. In our cohort, none of the 75 patients with class 1 BRAF mutation had concurrent KRAS mutation. However, 4 patients (7.8%) with class 2 mutations and 6 patients (19.3%) with class 3 mutations had concurrent oncogenic KRAS mutation (G12X, G13X and Q61X) (P < 0.001, Fig. 2b). Collectively, our data revealed a mutual exclusivity between class 1 BRAF mutation and oncogenic KRAS mutation, while class 2 and 3 mutations were more likely to have concurrent KRAS mutations.

Fig. 2
figure 2

Concurrent oncogenic mutations based on BRAF mutation class. a Mutation spectrum in the 8 classic NSCLC oncogenic driver of the 238 BRAF-mutant patients. The patients were grouped according to BRAF mutation class as indicated by the bar located at the bottom of the oncoprint. Each column represents a patient and each row represents a gene. Table on the left represents the mutation rate of each gene. Top plot represents the overall number of mutations a patient carried. Different colors denote different types of mutation. b Concurrent KRAS mutations in different BRAF mutation classes. Class I BRAF mutations were mutually exclusive from KRAS, while class 2 (P = 0.025) and 3 (P < 0.01) were more likely to have concurrent KRAS mutations. X-axis denotes the BRAF mutant class. Y-axis denotes the number of mutations in either BRAF or KRAS

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Association between BRAF mutations and clinical features

We further analyzed the correlation between BRAF mutations and clinicopathologic features. Our data revealed that BRAF mutations were more likely to occur in males (65.5% vs 33.6%, P < 0.01). When gender distribution was analyzed by BRAF mutation class using binomial proportion test, both class 2 (76.5% vs. 23.5%, P < 0.001) and 3 (78.1% vs. 21.9%, P = 0.003) exhibited male predominance; while class 1 did not show any gender preference (50.7% vs. 46.7%, P = 1, Table 2, Fig. 3). However, when analyzed collectively, females were more likely to have class 1 mutations than any other BRAF mutation class (class 1 vs. 2 P = 0.008; 1 vs. 3 P = 0.017; Fig. 3). Other clinicopathologic features, including age, histology, stage, and presence of metastasis, were not significantly associated with BRAF mutation class.

Fig. 3
figure 3

Gender distribution according to BRAF mutation class. In general, BRAF mutations were more frequently detected among males. However, class I BRAF mutations were more predominant in females (P = 0.008, P = 0.017). X-axis denotes the BRAF mutant class. Y-axis denotes the percentage of males or females per mutant class. The numbers indicated are the actual number of males (green) or females (red) per mutant class

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Survival outcomes

We have also analyzed the survival outcomes based on the BRAF mutation class in 105 evaluable stage IIIB-IV patients treated with first-line chemotherapy regimen. Among them, 51, 32 and 21 had class 1, 2 and 3 BRAF mutations, respectively. Kaplan–Meier and log-rank analysis revealed comparable overall survival among the three BRAF mutation classes, with a median overall survival of 28.6, 13.9 and 20.2 months for class 1, 2 and 3, respectively (P = 0.585, Fig. 4).

Fig. 4
figure 4

Kaplan–Meier analysis of the overall survival of the 105 BRAF-mutant advanced NSCLC patients treated with first-line chemotherapy. The risk table below illustrates the number of patients included per time point

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Discussion

BRAF mutations are clinically significant genetic alterations which occur in 2–4% of NSCLC patients. Despite the poor survival outcome of BRAF V600E-mutant NSCLC patients as compared to patients with wild-type BRAF [8], treatment with BRAF inhibitors have significantly improved their prognosis. With no approved targeted therapy for non-V600E BRAF mutant patients, chemotherapy still remains as the standard treatment option. Efforts to elucidate the prevalence and distribution of BRAF mutations according to functional class could facilitate the development of optimal treatment strategies to improve the prognosis of these subsets of patients.

Among Caucasian NSCLC patients, BRAF mutations were detected at a frequency of 2–4% [8, 9, 17, 21,22,23]. Similarly, BRAF mutations among the Chinese NSCLC patients ranged from 1.2% (14/1139) to 4.2% (8/190) [15, 18, 19, 24, 25]. In our effort to survey the prevalence of BRAF mutations in Chinese NSCLC patients, we have conducted a multi-center retrospective study involving 5 cancer centers. To the best of our knowledge, our study is the largest survey of the prevalence of BRAF mutations and the first to interrogate the mutation distribution based on the new functional classification system in Chinese NSCLC patients. We believe that the inclusion of a large cohort in our study reflects the actual prevalence and distribution of BRAF mutations in this population.

Among the 8405 stage I–IV NSCLC patients, we have detected BRAF mutations in 238 patients revealing an overall BRAF mutation rate of 2.8%. The distribution of BRAF mutations according to functional class consisted of 32%, 21%, 13% and 34% for class 1, 2, 3 and non-class 1–3, respectively. The mutation distribution in our cohort is consistent with the reported distribution based on the BRAF mutation class in non-Asian NSCLC patients [16, 17, 26, 27]. The heterogeneous distribution in our cohort further suggests that only about 30% of the V600E-mutant NSCLC patients can benefit from BRAF inhibitors, while the development of novel therapeutic strategies is crucial to further improve the survival of a majority of BRAF-mutant patients. In addition to well-characterized mutations in classes 1 to 3, we have also detected 66 novel BRAF mutations which would need further functional characterization to understand their role in cancer development and treatment response.

In addition to the distinct kinase activities and inhibitor response among the BRAF mutations, the co-occurrence of oncogenic mutations could also affect therapeutic responses and prognosis of patients. Previous reports have demonstrated the mutual exclusivity of BRAF V600E with other oncogenic driver mutations [21], whereas class 2 and 3 mutations frequently co-occurred with KRAS mutations [16, 17]. Consistently, our analysis revealed that class 1 mutations were mutually exclusive with KRAS mutations (P < 0.01); while concurrent KRAS mutations were more likely to be detected in patients with class 2 and 3 mutations (class 1 vs. 2 P = 0.025; 1 vs. 3 P < 0.01). Moreover, in agreement with previous reports [8, 18], our data revealed that class 1 V600E mutations were predominant in female NSCLC patients (class 1 vs. 2 P = 0.008; 1 vs. 3 P = 0.017). However, when all the BRAF mutations including the non-class 1–3 mutations were collectively analyzed, BRAF mutations were more likely to be detected among males (P < 0.01). These observations between the gender distribution and BRAF mutation class were in contrast to the lack of gender preference of BRAF mutation classes reported for Caucasian NSCLC patients [16].

BRAF mutations have been implicated as one of the bypass mechanisms in the development of acquired resistance to epidermal growth factor receptor (EGFR) inhibitors [28]. Hence, we have excluded not only the BRAF inhibitor-treated, but also the EGFR inhibitor-treated patients in the survival analysis and confined our analysis to include only the BRAF-mutant advanced-stage NSCLC patients who received chemotherapy as first-line treatment regimen. Our analysis revealed comparable survival outcomes among the BRAF mutation classes. A study by Dagogo-Jack et al. has reported a significantly shorter overall survival for BRAF-mutant NSCLC patients with class 2 and 3 as compared to class 1 treated with first-line chemotherapy (2 vs. 1 P < 0.001; 3 vs. 1 P = 0.023) [16]. However, overall survival was similar for all the classes when analysis only included the patients with extra-thoracic metastases who had not received targeted therapies, indicating that the class 1 patients included in their cohort had greater proportion of thoracic metastases and their results might also have been affected by the use of targeted therapy [16]. The heterogeneity of chemotherapy regimen and metastatic sites among the patients in our cohort might have contributed to our observations on the survival outcomes. Another possibility could be the presence of concurrent mutations in oncogenic or tumor suppressor genes which still do not have definitive targeted therapy that could affect treatment response in BRAF-mutant patients; however, this was not included in our analysis since most patients were only sequenced with the 8-gene panel. Despite the inclusion of a large cohort in our study, our analysis is severely limited by the retrospective nature of our study. Well-designed prospective studies are needed to confirm these results.

In conclusion, BRAF has an overall mutation rate of 2.8% among Chinese NSCLC patients. Class 1 mutations were more likely to be detected in female patients. Class 2 and 3 mutations were more likely to have concurrent KRAS mutations. Our findings highlight the distinct biological characteristics of BRAF-mutant tumors and emphasize the need to develop more effective therapeutic strategies to improve the prognosis for these patients.

Availability of data and materials

The dataset used and analyzed within the current study is available from the corresponding author upon reasonable request.

Abbreviations

NSCLC:

non-small cell lung cancer

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Acknowledgements

The authors thank all the patients who participated in this study and their families. We also thank the investigators, study coordinators, operation staff, and the whole project team who worked on this study.

Funding

This work is supported by Grant from the Suzhou Commission of Health and Family Planning [Grant Number: LCZX201713 to J.Q.].

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Author notes

  1. Quan Lin and Haoran Zhang equally contributed to the work and should be regarded as joint first authors

Authors and Affiliations

  1. Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Campus, Ouhai District, Wenzhou, 325015, Zhejiang, China

    Quan Lin & Yuping Li

  2. Department of Medical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233000, Anhui, China

    Haoran Zhang

  3. Ningbo Diagnostic Pathology Center, Ningbo, 315000, Zhejiang, China

    Huaxin Ding

  4. Department of Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, Jiangsu, China

    Jun Qian

  5. Burning Rock Biotech, Guangzhou, 510300, Guangdong, China

    Analyn Lizaso, Jing Lin, Han Han-Zhang & Jianxing Xiang

  6. Department of Oncology, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Gusu District, Suzhou, 215006, Jiangsu, China

    Hong Zhu

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Contributions

QL, HZ, YL and HZ worked on the conception and design of the study. QL, HZ, HD and JQ collected the data. JL assisted with the statistical analysis. QL, HZ, AL, HH-Z and JX analyzed the data. QL, HZ, AL, HH-Z wrote the manuscript in consultation with YL and HZ. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Yuping Li or Hong Zhu.

Ethics declarations

Ethics approval and consent to participate

This study was performed in accordance with the ethical standards of the committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964 and later versions. Written informed consent was obtained from each patient included in the study. The study protocol has been approved by the Ethics Committee of each of the participating hospitals.

Consent for publication

Not applicable.

Competing interests

AL., H. H-Z., J.L. and J.X. are employees of Burning Rock Biotech. The other authors declare that they have no competing interests.

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Supplementary information

Additional file 1: Figure S1.

BRAF mutations categorized as class 1 to 3 (A) and non-class 1–3 or others (B) detected in the cohort. Colored boxes depict the different functional domains along the gene. Small colored circles denote the type of mutation while the location of the circle specifies the mutation site. A patient is represented by a circle. The length of the lollipop represents the number of patients harboring the mutation. Figure S2. Illustration of the in cis configuration of the compound BRAF mutations as visualized using the Integrative Genomics Viewer. Alignment of sequencing reads illustrates the co-occurrence of both nucleotide substitutions on the same reads, indicating an in cis configuration of A. c.1406G>C (p.G469A) and c.1351G>C (p.E451Q); B. c.1514T>A (p.L505H) and c.1455G>T (p.L485F); and C. c.950C>G (S317C) and c.947C>T (p.S316L). Each gray row represents the sequencing read from a DNA fragment. Bottom bar shows the protein sequence annotation of BRAF.

Additional file 2.

Additional tables.

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Lin, Q., Zhang, H., Ding, H. et al. The association between BRAF mutation class and clinical features in BRAF-mutant Chinese non-small cell lung cancer patients. J Transl Med 17, 298 (2019). https://doi.org/10.1186/s12967-019-2036-7

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Keywords

Journal of Translational Medicine

ISSN: 1479-5876

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