Literature DB >> 29137342

Incidence and relative risk of cutaneous squamous cell carcinoma with single-agent BRAF inhibitor and dual BRAF/MEK inhibitors in cancer patients: a meta-analysis.

Ling Peng1, Yina Wang1, Yun Hong2, Xianghua Ye3, Peng Shi4,5, Junyan Zhang6, Qiong Zhao1.   

Abstract

BACKGROUND: BRAF inhibitor and dual BRAF/MEK inhibitors have been approved for the treatment of BRAF-mutated melanoma. Cutaneous squamous cell carcinoma (cuSCC) is an adverse event associated with these drugs. The contribution of BRAF inhibitor and dual BRAF/MEK inhibitors to cuSCC are still unknown. We performed this meta-analysis to determine the overall incidence and relative risk of cuSCC in cancer patients treated with these drugs.
RESULTS: A total of 7,442 patients from 24 primary studies were included. The incidences of all-grade and high-grade cuSCC in cancer patients treated with BRAF inhibitor were 12.5% (95% CI: 10.8-14.6%) and 11.6% (95% CI: 9.8-13.8%), and dual BRAF/MEK inhibitors were 3.0% (95% CI: 2.0-4.5%) and 2.8% (95% CI: 1.9-4.0%), respectively. On subgroup analysis and meta-regression, the incidence of cuSCC did not vary with tumor type, study design and specific drug used. The use of single agent BRAF inhibitor significantly increased the risk of developing cuSCC comparing with dual BRAF/MEK inhibitors for all-grade (RR 4.72, 95% CI: 2.42-9.20) and high-grade (RR 4.92, 95% CI: 2.64-9.16) in cancer patients.
MATERIALS AND METHODS: The databases of PubMed, Embase and abstracts published in ASCO proceedings were searched for relevant studies from January 2000 to June 2017. Summary incidences, relative risks (RRs) and 95% confidence intervals (CIs) were calculated by using either random effects or fixed effect models according to the heterogeneity of included studies.
CONCLUSIONS: BRAF inhibitor significantly increases the risk of developing cuSCC compared with dual BRAF/MEK inhibitors in cancer patients. Clinicians should be aware of the risks of cuSCC with the administration of these drugs in cancer patients.

Entities:  

Keywords:  BRAF inhibitor; MEK inhibitor; cuSCC; meta-analysis

Year:  2017        PMID: 29137342      PMCID: PMC5669968          DOI: 10.18632/oncotarget.21059

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

The MAPK signaling pathway regulates cell growth, proliferation, and differentiation [1]. MAPK kinase (MEK) activation occurs downstream of RAS and RAF signaling, activating MAPK. Previous study found that mutations in BRAF can be found in 8% of human cancers, including 59% of melanomas, 30–70% of thyroid cancers, 30% of cancers of the ovary of low grade and 10% of colorectal cancers [2]. In recent years, targeted drugs against BRAF have shown remarkable therapeutic success for a subset of patients with advanced malignancies including melanoma, non-small cell lung cancer (NSCLC) and other malignancies, leading to their FDA approval. At present, its utility is being explored for other cancers in over 200 clinical trials. New primary cutaneous malignancies, including cutaneous squamous cell carcinoma (cuSCC), basal cell carcinoma, keratoacanthoma and melanoma have been reported in patients receiving BRAF inhibitor, most of which are cuSCC. The exact molecular mechanisms behind the increased incidence are poorly understood. However, it is hypothesized that this may be due to RAF inhibition of wild-type BRAF cells, together with oncogenic RAS mutations present in photodamaged skin. This toxicity is explained in part by “paradoxical ERK activation,” or the hyperactivation of ERK signaling by BRAF inhibitor in BRAF wild-type cells. Although cuSCC is not life-threatening, it may affect BRAF inhibitor dosing, and impact patients’ physical, social, and psychological well-being. The overall incidence and risk of cuSCC caused by BRAF inhibitor is yet to be well defined, due to the limited number of studies available, the variation of the results reported in each of these trials, as well as the differences in study-settings and tumor-stream. Therefore, we conducted a systematic literature search and meta-analysis to investigate the overall incidence and relative risk of developing cuSCC in patients receiving BRAF inhibitor and dual BRAF/MEK inhibitors. We have also explored potential risk factors including specific drug, tumor type and study design. This information is critical in the determination of therapeutic regimens, and contributes to efforts in understanding the underlying mechanisms, risk factors and devising evidence-based treatment strategies for cuSCC.

RESULTS

Study selection and characteristics

Our comprehensive search of the literature revealed 240 potentially relevant records (Figure 1). Among them, 218 were excluded during the selection process. Of the 22 studies included, 15 were non-randomized studies while the other 7 were randomized controlled trials. A total of 299 ASCO meeting abstracts were retrieved, however only 2 studies were found eligible. In all, 24 primary studies were shortlisted for statistical analysis (Table 1). The major baseline characteristics of the 24 eligible studies were reported in Table 1, encompassing 5 phase III randomized controlled trials, 17 phase II trials, and 2 phase IV trials. The sample size of the included studies ranged from 21 to 3,222 patients (median sample size, 132 patients). The studies were published between 2012 and 2017.
Figure 1

Flow diagram of selection process for the trials included in the meta-analysis

Table 1

Main characteristics and results of the eligible studies

YearStudyPhaseSourceDiseaseTrialCalculationDrugAll-gradeHigh-gradePatients
2017Subbiah [26]2ASCONSCLCSingle-armIncidenceVemurafenibNR962
2017McArthur [27]2PubmedMelanomaSingle-armIncidenceVemurafenib1717146
2016Planchard 2 [28]2PubmedNSCLCSingle-armIncidenceDabrafenib+Trametinib2259
2016Planchard 1 [29]2PubmedNSCLCSingle-armIncidenceDabrafenib101084
2016Chen [30]2PubmedMelanomaSingle-armIncidenceDabrafenib+Trametinib0023
2016Brose [5]2PubmedThyroidSingle-armIncidenceVemurafenib2251
2016Ascierto [11]3PubmedMelanomaRCTIncidence & RRVemurafenib+Cobimetinib109247
Vemurafenib3131246
2015Tiacci [6]2PubmedLeukemiaSingle-armIncidenceVemurafenib3054
2015Robert [13]3PubmedMelanomaRCTIncidence & RRDabrafenib+Trametinib55350
Vemurafenib6360349
2015Puzanov [4]2PubmedMelanomaSingle-armIncidenceVemurafenib161648
2015Long [12]3PubmedMelanomaRCTIncidence & RRDabrafenib+Trametinib66209
Dabrafenib2020211
2015Kopetz [31]2PubmedColorectalSingle-armIncidenceVemurafenib5521
2015Hyman [32]2PubmedNonmelanomaSingle-armIncidenceVemurafenib222295
2014McArthur [7]3PubmedMelanomaRCTIncidenceVemurafenib6565337
2014Larkin [33]4PubmedMelanomaSingle-armIncidenceVemurafenib4373893222
2014Flaherty [34]4PubmedMelanomaSingle-armIncidenceVemurafenib2210371
2014Dummer [35]2PubmedMelanomaSingle-armIncidenceVemurafenib4424
2013Ascierto [36]2PubmedMelanomaSingle-armIncidenceDabrafenib9792
2012Sosman [37]2PubmedMelanomaSingle-armIncidenceVemurafenib3434132
2012Long [38]2PubmedMelanomaSingle-armIncidenceDabrafenib1111172
2012Lebbe [39]2ASCOMelanomaSingle-armIncidenceVemurafenib2020507
2012Hauschild [8]3PubmedMelanomaRCTIncidenceDabrafenib128187
2012Flaherty [40]2PubmedMelanomaRCTIncidence & RRDabrafenib+Trametinib54109
Dabrafenib10953
2012Anforth [24]2PubmedMelanomaSingle-armIncidenceDabrafenib8NR43

Summary table of studies included in the meta-analysis. Abbreviations: N, number of patients; CI, confidence interval; NR, not reported.

Summary table of studies included in the meta-analysis. Abbreviations: N, number of patients; CI, confidence interval; NR, not reported. A total of 7,442 patients with underlying malignancy diagnoses of melanoma (17 trials), NSCLC (3 trials), colorectal (1 trial), thyroid (1 trial), leukemia (1 trial), and other non-melanoma malignancy (1 trial) were available for the meta-analysis. Of these, 6,445 patients received BRAF inhibitor as a single agent (vemurafenib 5,603; and dabrafenib 842). Only four trials were randomized controlled trials eligible for analysis of relative risk. None of the included studies had listed cuSCC as a pre-existing condition. We performed this meta-analysis in accordance with the guidelines of the Preferred Reporting Items for Systematic review and Meta-Analyses (PRISMA) statement [3].

Incidence of cuSCC

The results of the meta-analysis were shown in Figure 2. Overall, a total of 6,445 patients from 21 trials were included for analysis of all-grade and incidence of cuSCC. The incidence of all-grade cuSCC ranged from 3.92 to 33.33%; the lowest incidence was noted in a phase 2 trial by Puzanov et al. [4] in patients with melanoma, and the highest incidence was observed in patients with thyroid cancer [5]. Our meta-analysis revealed a significant heterogeneity among included studies (I2 = 99.33%, P < 0.0001), and the calculated summary incidence of all-grade cuSCC with BRAF inhibitor was 12.5% (95% CI: 10.8–14.6%) using a random effects model (Figure 2A). Twenty-one trials reported the incidence of high-grade cuSCC data ranging from 0 to 33.33%. The highest incidence was observed in a phase II trial conducted by Puzanov et al. [4], and the lowest incidence was observed in patients with leukemia [6]. The calculated summary incidence of high-grade cuSCC associated with BRAF inhibitor was 11.6% (95% CI: 9.8–13.8%), using a random effects model (Figure 2B).
Figure 2

Forest plot for meta-analysis of incidence of all-grade and high-grade cuSCC

Each study was shown by the name of the lead author and year of publication. The summary incidences were also shown in the figure. Plots are arranged as follows: (A) Incidence of all-grade cuSCC by BRAF inhibitor; (B) Incidence of high-grade cuSCC by BRAF inhibitor; (C) Incidence of all-grade cuSCC by dual BRAF/MEK inhibitors; (D) Incidence of high-grade cuSCC by dual BRAF/MEK inhibitors.

Forest plot for meta-analysis of incidence of all-grade and high-grade cuSCC

Each study was shown by the name of the lead author and year of publication. The summary incidences were also shown in the figure. Plots are arranged as follows: (A) Incidence of all-grade cuSCC by BRAF inhibitor; (B) Incidence of high-grade cuSCC by BRAF inhibitor; (C) Incidence of all-grade cuSCC by dual BRAF/MEK inhibitors; (D) Incidence of high-grade cuSCC by dual BRAF/MEK inhibitors. As for dual BRAF/MEK inhibitors, the incidences of all-grade and high-grade cuSCC were lower than those of single agent BRAF inhibitor, with all-grade incidence of 3.0% (95% CI: 2.0–4.5%) and high-grade incidence of 2.8% (95% CI: 1.9–4.0%), respectively. Our meta-analysis revealed a significant heterogeneity among included studies (all grade, I2 = 80.1%, P < 0.0001; and high-grade, I2 = 71.6%, P = 0.003) (Figure 2). We conducted a meta regression analysis to examine whether incidence of cuSCC varied by specific BRAF inhibitor, melanoma versus non-melanoma, or study design. We found that there was no significant effect of these factors on the incidence for either all-grade or high-grade cuSCC (all P > 0.05). Additionally, there was no significant effect of these factors on the incidence of either all grade or high grade cuSCC by subgroup analysis (Figure 3).
Figure 3

Subgroup analysis for incidence of all-grade and high-grade cuSCC

Each study was shown by the name of the lead author and year of publication. The summary incidences were also shown in the figure. Plots are arranged as follows: (A) Incidence of all-grade cuSCC by vemurafenib vs dabrafenib subgroup; (B) Incidence of all-grade cuSCC in melanoma vs non-melanoma; (C) Incidence of all-grade cuSCC from single-arm study vs RCT; (D) Incidence of cuSCC by vemurafenib vs dabrafenib subgroup; (E) Incidence of high-grade cuSCC in melanoma vs non-melanoma; (F) Incidence of high-grade cuSCC from single-arm study vs RCT.

Subgroup analysis for incidence of all-grade and high-grade cuSCC

Each study was shown by the name of the lead author and year of publication. The summary incidences were also shown in the figure. Plots are arranged as follows: (A) Incidence of all-grade cuSCC by vemurafenib vs dabrafenib subgroup; (B) Incidence of all-grade cuSCC in melanoma vs non-melanoma; (C) Incidence of all-grade cuSCC from single-arm study vs RCT; (D) Incidence of cuSCC by vemurafenib vs dabrafenib subgroup; (E) Incidence of high-grade cuSCC in melanoma vs non-melanoma; (F) Incidence of high-grade cuSCC from single-arm study vs RCT.

Relative risk of cuSCC

We determined the RR of BRAF inhibitor–induced cuSCC compared with dual BRAF/MEK inhibitors. Analysis of the 1,774 patients across 4 RCTs revealed that BRAF inhibitor increased the risk of developing all-grade and high-grade cuSCC in cancer patients with a RR of 4.72, 95% CI: 2.42–9.20, and RR of 4.92, 95% CI: 2.64–9.16, respectively (Figure 4), suggesting a nearly five-fold greater risk for developing cuSCC with single agent BRAF inhibitor versus dual BRAF/MEK inhibitors. Significant heterogeneity was found for all-grade (test for heterogeneity: I2 = 57.9%; P = 0.068), but not for high-grade (I2 = 48.3%; P = 0.122).
Figure 4

RR for all-grade and high-grade cuSCC

Each study was shown by the name of the lead author and year of publication. The RRs were also shown in the figure. Plots are arranged as follows: (A) RR of all-grade cuSCC comparing BRAF inhibitor versus dual BRAF/MEK inhibitors; (B) RR of high-grade cuSCC comparing BRAF inhibitor versus dual BRAF/MEK inhibitors; (C) RR of all-grade cuSCC comparing BRAF inhibitor versus dual BRAF/MEK inhibitors by subgroup; (D) RR of high-grade cuSCC comparing BRAF inhibitor versus dual BRAF/MEK inhibitors by subgroup.

RR for all-grade and high-grade cuSCC

Each study was shown by the name of the lead author and year of publication. The RRs were also shown in the figure. Plots are arranged as follows: (A) RR of all-grade cuSCC comparing BRAF inhibitor versus dual BRAF/MEK inhibitors; (B) RR of high-grade cuSCC comparing BRAF inhibitor versus dual BRAF/MEK inhibitors; (C) RR of all-grade cuSCC comparing BRAF inhibitor versus dual BRAF/MEK inhibitors by subgroup; (D) RR of high-grade cuSCC comparing BRAF inhibitor versus dual BRAF/MEK inhibitors by subgroup. To evaluate the impact of the control regimen on the RR of cuSCC, studies have been classified into two subgroups; two studies with vemurafenib as monotherapy, and two studies with dabrafenib. There were no statistically significance between the subgroups (Figure 4).

Publication bias

Begg’s funnel plot and Egger’s test were performed to evaluate the publication bias of the eligible studies. Twenty-one studies investigating all-grade and high-grade cuSCC induced by single agent BRAF inhibitor yielded an Egger’s test score of P = 0.468 and P = 0.484, respectively, indicating the absence of publication bias in the studies (Figure 5). There were also no publication biases for incidence of dual BRAF/MEK inhibitors (P = 0.648 and P = 0.770, respectively). Results for publication bias from trials investigating RR were also shown in Figure 4 (P = 0.671 and 0.776 for RR of all-grade and high-grade cuSCC for single agent BRAF inhibitor versus dual BRAF/MEK inhibitors, respectively).
Figure 5

Funnel plot for studies included in the meta-analysis

Each study was shown by the name of the lead author and year of publication. The summary incidences were also shown in the figure. Plots are arranged as follows: (A) Sensitivity analysis of studies of incidence of all-grade cuSCC of BRAF inhibitor; (B) Sensitivity analysis of studies of incidence of high-grade cuSCC of BRAF inhibitor; (C) Sensitivity analysis of studies of incidence of all-grade cuSCC of dual BRAF/MEK inhibitors; (D) Sensitivity analysis of studies of incidence of high-grade cuSCC of dual BRAF/MEK inhibitors; (E) Sensitivity analysis of studies of RR of all-grade cuSCC; (F) Sensitivity analysis of studies of high-grade cuSCC.

Funnel plot for studies included in the meta-analysis

Each study was shown by the name of the lead author and year of publication. The summary incidences were also shown in the figure. Plots are arranged as follows: (A) Sensitivity analysis of studies of incidence of all-grade cuSCC of BRAF inhibitor; (B) Sensitivity analysis of studies of incidence of high-grade cuSCC of BRAF inhibitor; (C) Sensitivity analysis of studies of incidence of all-grade cuSCC of dual BRAF/MEK inhibitors; (D) Sensitivity analysis of studies of incidence of high-grade cuSCC of dual BRAF/MEK inhibitors; (E) Sensitivity analysis of studies of RR of all-grade cuSCC; (F) Sensitivity analysis of studies of high-grade cuSCC.

Sensitivity analysis

We did sensitivity analysis to examine the stability and reliability of pooled results by sequential omission of individual studies. The results indicated that the significance estimate of pooled incidences and RRs was not significantly influenced by omitting any single study (Figure 6).
Figure 6

Sensitivity analysis for studies included in the meta-analysis

Plots are arranged as follows: (A) Publication bias of studies of incidence of all-grade cuSCC of BRAF inhibitor; (B) Publication bias of studies of incidence of high-grade cuSCC of BRAF inhibitor; (C) Publication bias of studies of incidence of all-grade cuSCC of dual BRAF/MEK inhibitors; (D) Publication bias of studies of incidence of high-grade cuSCC of dual BRAF/MEK inhibitors; (E) Publication bias of studies of RR of all-grade cuSCC; (F) Publication bias of studies of high-grade cuSCC.

Sensitivity analysis for studies included in the meta-analysis

Plots are arranged as follows: (A) Publication bias of studies of incidence of all-grade cuSCC of BRAF inhibitor; (B) Publication bias of studies of incidence of high-grade cuSCC of BRAF inhibitor; (C) Publication bias of studies of incidence of all-grade cuSCC of dual BRAF/MEK inhibitors; (D) Publication bias of studies of incidence of high-grade cuSCC of dual BRAF/MEK inhibitors; (E) Publication bias of studies of RR of all-grade cuSCC; (F) Publication bias of studies of high-grade cuSCC.

DISCUSSION

Activating BRAF mutations (most commonly BRAFV600E) are found in about 50% of melanomas, and lead to constitutive activation of BRAF and downstream MAPK signaling. The BRAF inhibitors vemurafenib [7] and dabrafenib [8] were first approved as single agents by the Food and Drug Administration (FDA) for the treatment of BRAF-mutated unresectable or metastatic melanoma. In the RAS-RAF-MEK-ERK cell signaling pathway (MAPK pathway), MEK1 and MEK2 act downstream of BRAF. The most commonly described mechanism of resistance to BRAF inhibitors is reactivation of the MAPK pathway [9]. Thus, it has been suggested that combining BRAF inhibitor with inhibitors of other important molecules in the MAPK pathway (e.g. MEK) would overcome such resistance. Trametinib and cobimetinib are the two MEK inhibitors currently FDA-approved for melanoma treatment. The combination therapy increases apoptosis and delays the onset of resistance [10]. BRAF plus MEK-targeted drugs have outperformed BRAF inhibitor monotherapy in randomized clinical trials on BRAF-mutated melanoma [11-13]. The combination has become a new standard of treatment for BRAF-mutant advanced melanoma. Cutaneous toxicity is observed in 92–99% of patients on BRAF inhibitor monotherapy [14], with the most common AE being the development of hyperproliferative epidermal neoplasms. Therapy with vemurafenib or dabrafenib has resulted in the frequent development of verrucal keratosis, plantar hyperkeratosis, Grover’s disease, actinic keratosis, and cutaneous squamous cell carcinoma [15]. As the use of novel agents has increased, so have the cutaneous toxicities associated with these medications. Development of cuSCC is due to RAF inhibition of wild-type BRAF cells, together with oncogenic RAS mutations present in photodamaged skin. Cutaneous SCC occur with BRAF inhibitor monotherapy because of paradoxical activation of the MAPK pathway in keratinocytes [16]. This can be blocked by the addition of a MEK inhibitor, thereby explaining the numerically lower incidence of these adverse events in patients receiving dual therapy. We performed a meta-analysis to determine the incidence and relative risk of cuSCC among patients treated with BRAF inhibitor or dual BRAF/MEK inhibitors. To the best of our knowledge, this is the first meta-analysis evaluating the incidence and relative risk of cuSCC associated with BRAF inhibitor or dual BRAF/MEK inhibitors. In this comprehensive meta-analysis, prospective clinical trials and expanded access programs were included. The present meta-analysis has combined 24 publications including 5 phase 3 randomized controlled trials, 17 phase 2 trials, and 2 phase 4 trials. Our meta-analysis results demonstrated that BRAF inhibitor is associated with an increased incidence and relative risk of developing cuSCC compared with dual BRAF/MEK inhibitors. The overall incidence of all-grade and high-grade cuSCC was 12.5% (95% CI: 10.8–14.6%) and 11.6% (95% CI: 9.8–13.8%) in single agent BRAF inhibitor, respectively. Subgroup analysis and meta-regression showed that no significant difference was detected between specific drug used (vemurafenib versus dabrafenib), melanoma versus non-melanoma, different study design in terms of all-grade and high-grade incidence of cuSCC. Dual BRAF/MEK inhibitors have an incidence of all-grade and high-grade cuSCC of 3.0% (95% CI: 2.0–4.5%) and 2.8% (95% CI: 1.9–4.0%), respectively. The relative risks of cuSCC of BRAF inhibitor compared to dual BRAF/MEK inhibitors were increased for all-grade and high-grade. Combined BRAF and MEK inhibition reduces the incidence of cuSCC compared with BRAF monotherapy [17, 18], which was also confirmed by our meta-analysis. While some other adverse events (diarrhea, nausea, vomiting, photosensitivity reactions, increased creatine kinase levels, chorioretinopathy) occurred with a numerically higher incidence in patients receiving cobimetinib plus vemurafenib than in patients receiving vemurafenib alone, although these adverse events were mostly of grade 1 or 2 severity. The age of cuSCC is more prevalent in patients of 49 years or older, with a median age of 62 [14, 19, 20]. The median time to cuSCC/KA presentation is 8 weeks for vemurafenib, and 16 weeks for dabrafenib [21]. Malignant skin lesions can arise during therapy, requiring prompt dermatologic recognition and treatment in order to improve patient outcome. CuSCC are most often treated with a deep shave biopsy with electrodessication and curettage, or aggressive and frequent cryotherapy. NCCN and ESMO guidelines do not recommend single-agent BRAF therapy currently, while combination therapy is the optimal treatment option. However, in some countries such as China, considering the availability of drugs, high expenses and relatively low incidence of cuSCC in Asian population, domestic experts still consider single-agent BRAF inhibitor as standard first-line treatment. Furthermore, there are some studies investigating the suitable patient population for combination therapy. Despite the size of this meta-analysis, our study has some limitations. First, confounding variables at the patient level, such as comorbidities, age and previous drug exposure could not be incorporated into the analysis. Secondly, a continuity correction of 0.5 subjects with an event was used, which may have slightly overestimated the actual event rate of individual trials. Thirdly, there was considerable heterogeneity among the primary studies. Finally, we did not have access to patient-level data. In summary, our meta-analysis is the first study to systematically estimate the incidence of cuSCC associated with BRAF inhibitor. The relative risks of cuSCC of BRAF inhibitor compared with dual BRAF/MEK inhibitors were increased for nearly five-fold all-grade and high-grade. Close monitoring can help to avoid unnecessary dose reduction or treatment discontinuation and identify situations when treatment cessation is truly needed. These results would provide important information for clinicians who use BRAF inhibitor to treat patients.

MATERIALS AND METHODS

Search strategy and study selection

We systematically searched Pubmed, Embase and the Cochrane Database (up to June 2017) using various combinations of the terms: (“vemurafenib” or “PLX4032” or “Zelboraf”; or “dabrafenib” or “GSK2118436” or “Tafinlar”), and (“cancer” or “carcinoma” or “tumor” or malignancy” or “neoplasia”) and (“clinical trial” or “prospective trials” or “randomized controlled trial”). Furthermore, the American Society of Clinical Oncology (ASCO) abstracts database of the annual meetings was also searched. Additionally, we searched the clinical trial registration website (http://www.clinicaltrials.gov) to obtain information on the registered prospective trials. Relevant clinical trials that met the following criteria were included: (1) prospective clinical trials in patients diagnosed with malignancy; (2) participants assigned to treatment with single agent BRAF inhibitor (vemurafenib or dabrafenib), or BRAF inhibitor in combination with MEK inhibitor (cobimetinib or trametinib); (3) the search was restricted to clinical trials and articles published in English; (4) events or event rate and sample size available for cuSCC, and (5) if multiple publications of the same trial were retrieved or if there was a case mix between publications, only the most informative one was included. Trials with relatively small number of patients (less than 20) were excluded. Phase I studies were excluded because of the different drug dosages and the relatively small number of patients on these trials. Review articles, irrelevant topics, case reports, and animal experimental studies were excluded. Abstracts of all candidate articles were read by two independent readers (LP and XY). Articles that could not be categorized based on title and abstract alone were retrieved for full-text review. Disagreements were resolved by consensus between the two readers.

Study selection

Data abstraction was conducted independently by two investigators (LP and XY). Cutaneous SCC was extracted from the safety profile in each trial. Clinical endpoints were obtained from the safety profile of each clinical trial. In selected clinical trials, cuSCC was recorded according to the NCI-CTCAE versions 4.0. The CTCAE version 4.0 describes the grading as follows: grade I, asymptomatic or mild symptoms; clinical or diagnostic observations only; intervention not indicated; grade II, moderate; minimal, local or noninvasive intervention indicated; limiting age-appropriate instrumental ADL (activity of daily living); grade III, severe or medically significant but not immediately life-threatening; hospitalization or prolongation of existing hospitalization indicated; disabling; limiting self-care ADL; and grade IV, life-threatening consequences; urgent intervention indicated. We included all incidences of cuSCC of grade 1 or above in our analysis.

Data analysis

The publications and data were reviewed and extracted by two independent investigators (LP and XY). The relevant information of each study including: (1) article or publication information, such as first author’s name, year of publication, etc.; (2) patient characteristics, such as diagnosis, age, gender, etc.; (3) study designation information, such as phase, total sample size, sample size per arm; (4) information about treatment, such as treatment approach, drug used; (5) events of cuSCC from the safety and toxicity profile and so on were carefully extracted, and they were recorded to a data collection form and then entered into an electronic database. If data from any of the above categories were not reported in the study, items were treated as “NR (not reported)”. Authors of the primary studies were not contacted for additional or unreported information.

Statistical analysis

We derived the proportion and calculated the 95% confidence interval (CI) of patients with all-grade and high-grade events of cuSCC from each study. To calculate the pooled incidence, an inverse variance statistical method was used. For randomized controlled studies, we also calculated and compared the RRs of low grade and high-grade cuSCC. For one study that reported zero events in the control arm, we applied the classic half-integer correction to calculate the RR and variance [22]. RR > 1 indicated more cuSCC events in single agent BRAF inhibitor treatment arm; and vice versa. The χ2-based Q statistic was applied to determine the heterogeneity between selected studies [23]. And the heterogeneity was considered to be statistically significant when heterogeneity < 0.10 or I2 > 50%. If heterogeneity existed, data was analyzed using a random-effects model, otherwise, a fixed-effects model was used. To test for variation in incidence estimates by other factors, we conducted a meta-regression analysis. To explore the possible reasons for heterogeneity, we also conducted subgroup analyses by underlying malignancy, specific drug used, and different trial design. A two-sided P value of < 0.05 was considered statistically significant. The presence of publication bias was evaluated by using Begg’s and Egger’s tests [24, 25]. To assess the stability of results, sensitivity analysis was carried out by sequential omission of individual studies. All of the calculations were performed by STATA version 14.0 (Stata Corporation, College Station, TX).
  38 in total

1.  Improved overall survival in melanoma with combined dabrafenib and trametinib.

Authors:  Caroline Robert; Boguslawa Karaszewska; Jacob Schachter; Piotr Rutkowski; Andrzej Mackiewicz; Daniil Stroiakovski; Michael Lichinitser; Reinhard Dummer; Florent Grange; Laurent Mortier; Vanna Chiarion-Sileni; Kamil Drucis; Ivana Krajsova; Axel Hauschild; Paul Lorigan; Pascal Wolter; Georgina V Long; Keith Flaherty; Paul Nathan; Antoni Ribas; Anne-Marie Martin; Peng Sun; Wendy Crist; Jeff Legos; Stephen D Rubin; Shonda M Little; Dirk Schadendorf
Journal:  N Engl J Med       Date:  2014-11-16       Impact factor: 91.245

2.  Heterogeneity testing in meta-analysis of genome searches.

Authors:  Elias Zintzaras; John P A Ioannidis
Journal:  Genet Epidemiol       Date:  2005-02       Impact factor: 2.135

3.  Dabrafenib in patients with Val600Glu or Val600Lys BRAF-mutant melanoma metastatic to the brain (BREAK-MB): a multicentre, open-label, phase 2 trial.

Authors:  Georgina V Long; Uwe Trefzer; Michael A Davies; Richard F Kefford; Paolo A Ascierto; Paul B Chapman; Igor Puzanov; Axel Hauschild; Caroline Robert; Alain Algazi; Laurent Mortier; Hussein Tawbi; Tabea Wilhelm; Lisa Zimmer; Julie Switzky; Suzanne Swann; Anne-Marie Martin; Mary Guckert; Vicki Goodman; Michael Streit; John M Kirkwood; Dirk Schadendorf
Journal:  Lancet Oncol       Date:  2012-10-08       Impact factor: 41.316

4.  Operating characteristics of a rank correlation test for publication bias.

Authors:  C B Begg; M Mazumdar
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

5.  Long-term outcome in BRAF(V600E) melanoma patients treated with vemurafenib: Patterns of disease progression and clinical management of limited progression.

Authors:  Igor Puzanov; Ravi K Amaravadi; Grant A McArthur; Keith T Flaherty; Paul B Chapman; Jeffrey A Sosman; Antoni Ribas; Mark Shackleton; Patrick Hwu; Bartosz Chmielowski; Keith B Nolop; Paul S Lin; Kevin B Kim
Journal:  Eur J Cancer       Date:  2015-05-13       Impact factor: 9.162

6.  Survival in BRAF V600-mutant advanced melanoma treated with vemurafenib.

Authors:  Jeffrey A Sosman; Kevin B Kim; Lynn Schuchter; Rene Gonzalez; Anna C Pavlick; Jeffrey S Weber; Grant A McArthur; Thomas E Hutson; Stergios J Moschos; Keith T Flaherty; Peter Hersey; Richard Kefford; Donald Lawrence; Igor Puzanov; Karl D Lewis; Ravi K Amaravadi; Bartosz Chmielowski; H Jeffrey Lawrence; Yu Shyr; Fei Ye; Jiang Li; Keith B Nolop; Richard J Lee; Andrew K Joe; Antoni Ribas
Journal:  N Engl J Med       Date:  2012-02-23       Impact factor: 91.245

7.  Vemurafenib in patients with BRAF(V600) mutation-positive melanoma with symptomatic brain metastases: final results of an open-label pilot study.

Authors:  Reinhard Dummer; Simone M Goldinger; Christian P Turtschi; Nina B Eggmann; Olivier Michielin; Lada Mitchell; Luisa Veronese; Paul René Hilfiker; Lea Felderer; Jeannine D Rinderknecht
Journal:  Eur J Cancer       Date:  2013-11-29       Impact factor: 9.162

8.  Vemurafenib in patients with BRAF(V600E)-positive metastatic or unresectable papillary thyroid cancer refractory to radioactive iodine: a non-randomised, multicentre, open-label, phase 2 trial.

Authors:  Marcia S Brose; Maria E Cabanillas; Ezra E W Cohen; Lori J Wirth; Todd Riehl; Huibin Yue; Steven I Sherman; Eric J Sherman
Journal:  Lancet Oncol       Date:  2016-07-23       Impact factor: 41.316

9.  RAS mutations in cutaneous squamous-cell carcinomas in patients treated with BRAF inhibitors.

Authors:  Fei Su; Amaya Viros; Carla Milagre; Kerstin Trunzer; Gideon Bollag; Olivia Spleiss; Jorge S Reis-Filho; Xiangju Kong; Richard C Koya; Keith T Flaherty; Paul B Chapman; Min Jung Kim; Robert Hayward; Matthew Martin; Hong Yang; Qiongqing Wang; Holly Hilton; Julie S Hang; Johannes Noe; Maryou Lambros; Felipe Geyer; Nathalie Dhomen; Ion Niculescu-Duvaz; Alfonso Zambon; Dan Niculescu-Duvaz; Natasha Preece; Lídia Robert; Nicholas J Otte; Stephen Mok; Damien Kee; Yan Ma; Chao Zhang; Gaston Habets; Elizabeth A Burton; Bernice Wong; Hoa Nguyen; Mark Kockx; Luc Andries; Brian Lestini; Keith B Nolop; Richard J Lee; Andrew K Joe; James L Troy; Rene Gonzalez; Thomas E Hutson; Igor Puzanov; Bartosz Chmielowski; Caroline J Springer; Grant A McArthur; Jeffrey A Sosman; Roger S Lo; Antoni Ribas; Richard Marais
Journal:  N Engl J Med       Date:  2012-01-19       Impact factor: 91.245

10.  Phase II Pilot Study of Vemurafenib in Patients With Metastatic BRAF-Mutated Colorectal Cancer.

Authors:  Scott Kopetz; Jayesh Desai; Emily Chan; Joel Randolph Hecht; Peter J O'Dwyer; Dipen Maru; Van Morris; Filip Janku; Arvind Dasari; Woonbook Chung; Jean-Pierre J Issa; Peter Gibbs; Brian James; Garth Powis; Keith B Nolop; Suman Bhattacharya; Leonard Saltz
Journal:  J Clin Oncol       Date:  2015-10-12       Impact factor: 44.544

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  9 in total

Review 1.  BRAF Inhibitors for the Treatment of Papulopustular Eruptions from MAPK Pathway Inhibitors.

Authors:  Catherine J Wang; Isaac Brownell
Journal:  Am J Clin Dermatol       Date:  2020-12       Impact factor: 7.403

Review 2.  A Review of the Literature of Surgical and Nonsurgical Treatments of Invasive Squamous Cells Carcinoma.

Authors:  Concetta Potenza; Nicoletta Bernardini; Veronica Balduzzi; Luigi Losco; Alessandra Mambrin; Anna Marchesiello; Ersilia Tolino; Sara Zuber; Nevena Skroza; Ilaria Proietti
Journal:  Biomed Res Int       Date:  2018-04-02       Impact factor: 3.411

Review 3.  Clinical outcomes of BRAF plus MEK inhibition in melanoma: A meta-analysis and systematic review.

Authors:  Qingliang Yu; Jiayi Xie; Jiangmiao Li; Yunxin Lu; Liang Liao
Journal:  Cancer Med       Date:  2019-08-08       Impact factor: 4.452

Review 4.  Immune Checkpoint Blockade in Advanced Cutaneous Squamous Cell Carcinoma: What Do We Currently Know in 2020?

Authors:  Anja Wessely; Theresa Steeb; Ulrike Leiter; Claus Garbe; Carola Berking; Markus Vincent Heppt
Journal:  Int J Mol Sci       Date:  2020-12-06       Impact factor: 5.923

Review 5.  Cutaneous Squamous Cell Carcinoma: From Pathophysiology to Novel Therapeutic Approaches.

Authors:  Luca Fania; Dario Didona; Francesca Romana Di Pietro; Sofia Verkhovskaia; Roberto Morese; Giovanni Paolino; Michele Donati; Francesca Ricci; Valeria Coco; Francesco Ricci; Eleonora Candi; Damiano Abeni; Elena Dellambra
Journal:  Biomedicines       Date:  2021-02-09

6.  Uncommon Presentation of Metastatic Squamous Cell Carcinoma of the Skin and Treatment Challenges.

Authors:  Anita Pandey; Maksim Liaukovich; Kishor Joshi; Boris I Avezbakiyev; James E O'Donnell
Journal:  Am J Case Rep       Date:  2019-03-06

Review 7.  Cutaneous Squamous Cell Carcinoma: From Biology to Therapy.

Authors:  Roberto Corchado-Cobos; Natalia García-Sancha; Rogelio González-Sarmiento; Jesús Pérez-Losada; Javier Cañueto
Journal:  Int J Mol Sci       Date:  2020-04-22       Impact factor: 5.923

8.  The anti-cancer drug dabrafenib is not cardiotoxic and inhibits cardiac remodelling and fibrosis in a murine model of hypertension.

Authors:  Daniel N Meijles; Joshua J Cull; Susanna T E Cooper; Thomais Markou; Michelle A Hardyman; Stephen J Fuller; Hajed O Alharbi; Zoe H R Haines; Viridiana Alcantara-Alonso; Peter E Glennon; Mary N Sheppard; Peter H Sugden; Angela Clerk
Journal:  Clin Sci (Lond)       Date:  2021-07-30       Impact factor: 6.124

Review 9.  Recent Developments in Targeting RAS Downstream Effectors for RAS-Driven Cancer Therapy.

Authors:  Ozge Tatli; Gizem Dinler Doganay
Journal:  Molecules       Date:  2021-12-14       Impact factor: 4.411

  9 in total

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