- 1Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
- 2Department of Human Pathology in Adulthood and Childhood Gaetano Barresi, University of Messina, Messina, Italy
Introduction: New oral tyrosine kinase inhibitors (TKIs) are approved for metastatic colorectal cancer (mCRC). The aim of this study was to assess the neuropsychiatric adverse drug reactions (ADRs) of these drugs reported in the FDA Adverse Event Reporting System (FAERS) database.
Methods: All reports with regorafenib (REG) and encorafenib (ENC) as the primary suspect, and reported in the FAERS between 2012 and 2022, were collected. A descriptive and disproportionality analyses were conducted.
Results: Out of 4,984 cases, 1,357 (30.2%) reported at least one neuropsychiatric ADR. New potential signals for REG included neuropathy peripheral (n = 265; reporting odds ratio, ROR = 19.48, 95% confidence interval, CI 95% = 17.52-22.47; information component, IC = 2.89, IC025-IC075 = 2.77-3.02), hyperesthesia (n = 18; ROR = 12.56, CI 95% = 7.90-19.96; IC = 2.25, IC025-IC075 = 1.79-2.72), taste disorder (n = 41; ROR = 9.91, CI 95% = 7.29-13.49; IC = 2.18, IC025-IC075 = 1.88-2.49), poor quality sleep (n = 18; ROR = 6.56, CI 95% = 4.13-10.42; IC = 1.74, IC025-IC075 = 1.27-2.20), altered state of consciousness (n = 15; ROR = 5.50, CI 95% = 3.31-9.14; IC = 1.57, IC025-IC075 = 1.06-2.07), depressed mood (n = 13; ROR = 1.85, CI 95% = 1.07-3.19; IC = 0.58, IC025-IC075 = 0.04-1.13) and insomnia (n = 63; ROR = 1.48, CI 95% = 1.15-1.89; IC = 0.38, IC025-IC075 = 0.13-0.63). For ENC comprised depressed mood (n = 4; ROR = 5.75, CI 95% = 2.15-15.39; IC = 1.74, IC025-IC075 = 0.76-2.73) and cognitive disorders (n = 3; ROR = 4.71, CI 95% = 1.51-14.66; IC = 1.54, IC025-IC075 = 0.41-2.68).
Discussion: This study identified new unknown potential neuropsychiatric ADRs. Further investigations are required to better define the neurotoxicity of TKIs in mCRC patients.
Introduction
Colorectal Cancer (CRC) is characterized by specific molecular and mutational alterations that play an important role in the choice of treatment. Approximately 40% of CRC patients have KRAS mutations, while about 6% have NRAS mutations leading to the constitutive activation of Ras-Raf-mitogen-activated protein kinase (MAPK) signaling pathway, downstream of the epidermal growth factor receptor (EGFR) (1, 2). As a result, many CRC patients are resistant to anti-EGFR therapies (3, 4).
Other relevant genomic alterations include mutations in the BRAF gene, which encodes a serine/threonine kinase within the MAPK signaling pathway. Approximately 8-12% of CRC patients have a BRAF mutation and 95% of BRAF mutations result in a substitution of the amino acid valine with glutamic acid at position 600 (BRAFV600E) (5–7). Patients with BRAF mutations generally have a poor prognosis in CRC due to their resistance to conventional therapies. Oral BRAF inhibitors (BRAFi) have had a significant impact on the treatment approach and clinical outcomes for patients with metastatic colorectal cancer (mCRC) who are not considered suitable candidates or have been unsuccessfully treated with standard therapies (8, 9).
Regorafenib (REG), an oral multikinase inhibitor, since it inhibits antigenic and oncogenic kinases, such as vascular endothelial growth factor receptors (VEGFR), platelet-derived growth factor receptors (PDGFR), fibroblast growth factor receptors (FGFR), and BRAF, received approval from the US Food and Drug Administration (FDA) in September 2012 for the treatment of mCRC (10, 11). In 2020, a pure oral BRAFi encorafenib (ENC) was approved in combination with cetuximab (CET) (12). Oral tyrosine kinase inhibitors (TKIs) offer a better prognosis in terms of progression free survival and overall survival than conventional therapies, with several advantages over injectable formulations, such as flexibility, convenience, cost-effectiveness, and better compliance (13, 14).
Despite the positive impact on patients’ survival in mCRC, the utilization of REG and ENC is not exempt from the occurrence of adverse events (AEs): 91% of patients treated with REG experienced AEs, including fatigue (46%), hand-foot skin reaction (HFSR) (42%), hypertension (30%), diarrhea (25%), and oral mucositis (25%) (15). Gastrointestinal disorders such as diarrhea (38%), nausea (38%), and decreased appetite (31%) were the most commonly reported AEs for ENC, along with fatigue (33%), dermatitis acneiform (30%), asthenia (24%), arthralgia (23%), and headache (20%). Moreover, serious AEs (SAEs) such as anemia (6%) and intestinal obstruction (5%) were primarily reported (5). The safety profile of oral TKIs is not fully understood, especially concerning neurological and psychiatric AEs and the consequent worsening of patients’ quality of life (QoL). A post-marketing study found an increased reporting of cerebral infarction, including ischemic stroke, for REG (16). A possible role in the pathophysiology of neurological disorders of oral kinase inhibitors cannot be ruled out. Other pharmacovigilance studies described a possible occurrence of peripheral neuropathies in patients under treatment with BRAFi and/or MEK inhibitors (MEKi) for melanoma (17, 18). However, no safety studies based on the spontaneous reporting system (SRS) databases aim to evaluate REG- and ENC-related neuropsychiatric ADRs in mCRC.
For all these reasons, the objective of this study was to assess and describe all ADRs associated with oral TKIs in the treatment of mCRC, focusing on neuropsychiatric ADRs, by conducting an analysis of the US Food and Drug Administration’s Adverse Event Reporting System (FAERS) database.
Materials and methods
Data source and case definition
An observational study was conducted using reports from the FAERS database. The FAERS database contains more than 20 million reports of suspected ADRs gathered from United States, Europe, and Asia, reported by patients, healthcare professionals, or pharmaceutical companies. Each report includes an identification number, patient information (e.g., gender, age, and weight), reporting date, reporting country, qualifications of the primary reporter, suspected and concomitant drugs with their respective indications, date of onset of ADRs, seriousness, and description of each ADR coded by Preferred Term (PT) from the Medical Dictionary for Regulatory Activities (MedDRA® 26.0), grouped by System Organ Class (SOC).
Each ADR was categorized as “serious”, in accordance with the International Council on Harmonization E2D guidelines, when it led to any of the following consequences: death; life-threatening; hospitalization or prolonged hospitalization; a persistent or significant incapacity or substantial disruption of the ability to conduct normal life functions; a congenital anomaly/birth defect; an important medical event (IME).
On January 30th 2023, zipped ASCII files (from Q4 2012 to Q4 2022) were downloaded from the “FDA Adverse Event Reporting System (FAERS) Quarterly Data Extract Files” website (https://fis.fda.gov/extensions/FPD-QDE-FAERS/FPD-QDE-FAERS.html) and processed to eliminate duplicates, specifically those with overlapping information in key fields of AE, event date, gender, age, body weight, reporting country, and primary suspected active substances.
After reviewing all reports where the primary suspect was REG or ENC (ENC in association with CET as secondary suspect) and considering the indication of CRC in accordance with the FDA Prescribing Information, reports with at least one ADR related to the SOCs “Nervous system disorders” and “Psychiatric disorders” were selected and defined as “cases”. All other reports, that did not contain neuropsychiatric ADRs were considered as the reference group (“non-cases”). The selection process was conducted at the case level using the identification number. Reports with multiple neuropsychiatric ADRs were counted only once.
Data analyses
The demographic and clinical characteristics were assessed in terms of gender and age group, reporter type, reporter country, year of reporting, seriousness, and outcome of the ADRs between cases and non-cases. For all neuropsychiatric ADRs, the time to onset (TTO) was calculated and expressed in days (median, interquartile range, Q1-Q3) as the difference from the start of the primary suspect drug to the date of onset of the ADR, when both were available. Categorical variables were reported as absolute and percentage values, and differences were estimated using the Pearson’s chi-square test with Yates’ continuity correction. Continuous variables were expressed as median (Q1-Q3), and differences were assessed using the Mann-Whitney U test.
Moreover, a disproportionality analysis was performed using a case/non-case methodology. The Reporting Odds Ratio (ROR), with the corresponding 95% confidence interval (CI), was calculated to identify potential reporting disproportionality signals in neuropsychiatric ADRs related to REG or ENC. An exploratory disproportionality approach comparing ADRs related to ENC or REG versus all other drugs (non-cases) reported in the FAERS database was conducted (19). All neuropsychiatric ADRs with a significant ROR (lower limit of the 95% CI >1 with at least 3 cases) (20) were carefully considered unexpected if they were not reported in the FDA label at the time of the study. The Bayesian Information Component (IC), estimated as significant by the 95% credibility interval > 0 (IC025> 0), which is more accurate with a low number of reports, was calculated to decrease the risk of detecting false signals (21, 22).
The Statistical Package for the Social Science (SPSS) version 23.0 software for Windows (IBM Corp. SPSS Statistics) was used to conduct all statistical analyses.
Results
Characteristics of reports
A total of 14,323 reports with REG or ENC as the suspect drug were collected in the FAERS database from October 2012 to December 2022. Premarketing reports with supporting literature (n = 524) and those related to other indications (n = 7,768) were not included in the analysis, as well as reports with another drug reported as the primary suspected (n = 1,022). Additionally, duplicates (n = 25) were excluded. Finally, 4,984 reports were included in the analysis, mainly related to REG (n = 4,496; 90.2%), followed by ENC (n = 488; 9.8%). Among the reports where ENC was identified as the primary suspect, 150 cases (30.7%) also implicated CET as a secondary suspected drug. Reports containing at least one neuropsychiatric ADR (cases) accounted for more than 1/4 of all reports (n = 1,357; 30.2%) (Figure 1).
Figure 1 Flowchart of reports selection process. FAERS, US Food and Drug Administration’s Adverse Event Reporting System (FAERS) database; mCRC, metastatic colorectal cancer; REG, regorafenib; ENC, encorafenib; CET, cetuximab.
The reports were almost equally distributed by gender, with no statistically significant difference between cases and non-cases. However, neuropsychiatric ADRs were more commonly related to adults compared to all other reports (49.5% vs. 41.1%, p = 0.003), particularly for ages 50 to 64 years (n = 547; 40.3%). Neuropsychiatric ADRs were mostly reported by consumers compared to other reports (69.5% vs. 32.6%, p < 0.001), during the years 2016 and 2021 (8.9% vs. 6.5%, p = 0.004 and 12.6% vs. 10.4%, p = 0.033, respectively), with North America being the main reporter country (67.6% vs. 40.2%, p < 0.001). Overall, cases showed a higher seriousness than non-cases (95.4% vs. 88.2%, p < 0.001), with a higher proportion of disabled and other outcomes (2.0% vs. 0.9%, p = 0.002 and 48.3% vs. 32.9%, p < 0.001, respectively). Neuropsychiatric ADRs mostly involved REG as the primary suspect compared to other reports (94.1% vs. 88.5%, p < 0.001) (Table 1).
The median (Q1-Q3) TTO of neuropsychiatric ADRs was lower with REG [1 (0–11) day] than with ENC [6 (0–31) days] (p = 0.038) (Figure 2). Considering that each report could contain one ADR belonging to the SOC “Nervous system disorders” and one belonging to “Psychiatric disorders”, nervous system disorders accounted for 1,194 reports (88.0%), while psychiatric disorders accounted for 367 cases (27.0%). Neuropathy peripheral (n = 273; 20.1%), headache (n = 263; 19.4%), dizziness (n = 129; 9.5%), paraesthesia (n = 103; 7.6%), and confusional state (n = 103; 7.6%) were the most frequently reported neuropsychiatric ADRs by PT, especially for REG, except for headache, which was mainly related to ENC (n = 17; 23.6%).
Figure 2 Time to onset of neuropsychiatric ADRs. Data are reported as box plot with the box drawing from Q1 to Q3 and the horizontal line drawing in the middle to denote the median. REG, regorafenib; ENC, encorafenib.
Disproportionality analysis
Neuropsychiatric ADRs with a disproportionality signal primarily corresponded to ADRs already reported in the FDA labels at the time of the study. These included headache for both ENC and REG, dizziness, tremor, lethargy, all kind of encephalopathies, confusional state, eating disorders, and mental status changes, which were specific to REG. Neuropathy peripheral, insomnia, and polyneuropathy were specific to ENC. However, new potential safety signals have been identified. For REG, the main unexpected disproportions, identified using consistent frequentist ROR and Bayesian IC, belonging to nervous system disorders were thermohyperaesthesia (n = 3; ROR = 578.67, CI 95% = 176.54-1,896.81; IC = 1.93, IC025-IC075 = 0.75-3.12), neuropathy peripheral (n = 265; ROR = 19.48, CI 95% = 17.52-22.47; IC = 2.89, IC025-IC075 = 2.77-3.02), hypogeusia (n = 5; ROR = 17.87, CI 95% = 7.42-43.01; IC = 1.95, IC025-IC075 = 1.07-2.83), hyperaesthesia (n = 18; ROR = 12.56, CI 95% = 7.90-19.96; IC = 2.25, IC025-IC075 = 1.79-2.72), slow speech (n = 3; ROR = 10.40, CI 95% = 3.35-32.29; IC = 1.49, IC025-IC075 = 0.36-2.62), taste disorder (n = 41; ROR = 9.91, CI 95% = 7.29-13.49; IC = 2.18, IC025-IC075 = 1.88-2.49), hypersomnia (n = 37; ROR = 9.46, CI 95% = 6.85-13.08; IC = 2.13, IC025-IC075 = 1.81-2.46), incoherent (n = 8; ROR = 7.97, CI 95% = 3.98-15.96; IC = 1.73, IC025-IC075 = 1.04-2.42), poor quality sleep (n = 18; ROR = 6.56, CI 95% = 4.13-10.42; IC = 1.74, IC025-IC075 = 1.27-2.20), burning sensation (n = 63; ROR = 6.12, CI 95% = 4.77-7.85; IC = 1.76, IC025-IC075 = 1.51-2.01), altered state of consciousness (n = 15; ROR = 5.50, CI 95% = 3.31-9.14; IC = 1.57, IC025-IC075 = 1.06-2.07), neuralgia (n = 17; ROR = 5.10, CI 95% = 3.17-8.21; IC = 1.51, IC025-IC075 = 1.04-1.99), dysstasia (n = 21; ROR = 5.05, CI 95% = 3.29-7.75; IC = 1.53, IC025-IC075 = 1.10-1.95), peripheral sensory neuropathy (n = 4; ROR = 5.02, CI 95% = 1.88-13.38; IC = 1.24, IC025-IC075 = 0.26-2.22), sciatica (n = 9; ROR = 4.70, CI 95% = 2.45-9.05; IC = 1.37, IC025-IC075 = 0.71-2.02), hypoaesthesia (n = 102; ROR = 4.52, CI 95% = 3.71-5.50; IC = 1.47, IC025-IC075 = 1.28-1.67), and motor dysfunction (n = 6; ROR = 4.31, CI 95% = 1.94-9.61; IC = 1.23, IC025-IC075 = 0.43-2.03). For psychiatric disorders with REG, an unknown significant disproportionality was shown for disorientation (n = 26; ROR = 4.00, CI 95% = 2.72-5.88; IC = 1.33, IC025-IC075 = 0.94-1.71), delirium (n = 20; ROR = 3.68, CI 95% = 2.37-5.71; IC = 1.24, IC025-IC075 = 0.80-1.68), depressed mood (n = 13; ROR = 1.85, CI 95% = 1.07-3.19; IC = 0.58, IC025-IC075 = 0.04-1.13), and insomnia (n = 63; ROR = 1.48, CI 95% = 1.15-1.89; IC = 0.38, IC025-IC075 = 0.13-0.63).
For ENC, consistent disproportionalities of neuropsychiatric ADRs not reported in the FDA label were observed. These included brain oedema (n = 3; ROR =14.11, CI 95% =4.53-43.93; IC = 2.64, IC025-IC075 = 1.50-3.78) and cognitive disorders (n = 3; ROR = 4.71, CI 95% = 1.51-14.66; IC = 1.54, IC025-IC075 = 0.41-2.68) for nervous system disorders, and depressed mood (n = 4; ROR = 5.75, CI 95% = 2.15-15.39; IC = 1.74, IC025-IC075 = 0.76-2.73) for psychiatric disorders (Table 2).
Table 2 Disproportionality analyses, included ROR and IC, and notoriety based on FDA label for neuropsychiatric ADRs related to ENC and REG.
Discussion
This study focused on the neuropsychiatric disorders associated with REG and ENC approved for the treatment of mCRC and reported in the FAERS database. The decision to evaluate this safety concern was motivated by the lack of SRS database studies that aimed to detect ADRs for TKIs in mCRC.
The distribution of reports over the years has been influenced by the timing of approval and clinical use of REG and ENC. Neuropsychiatric ADRs have predominantly been reported for REG. However, the recent increase in their reporting compared to all other reports, especially in 2021, may be attributed to the recent approval of ENC in combination with CET for mCRC (12). The frequency of neuropsychiatric ADRs with REG appeared to be higher than what was observed in a previous study that focused on neuropsychiatric ADRs with oral TKIs approved for gastrointestinal stromal tumor (GIST) and was based on the EudraVigilance database (28.6% vs. 13.0%) (16). This difference could be attributed to the higher incidence of CRC compared to GIST in the entire population, as well as the use of different SRS databases for the analysis. Looking at the characteristics of reports, neuropsychiatric ADRs were almost equally distributed by gender; however, they were mainly reported for adults than all other reports, especially for patients aged between 50 and 64 years. This could be explained by the rising trend of CRC diagnosis in young adults, which is facilitated by recommended screening methods enabling early detection of CRC (23). Nevertheless, a previous study reported that mental and cognitive disorders are more common in elderly patients diagnosed with CRC (24). The literature data on gender and neuropsychiatric ADRs are controversial. Some studies have reported that females with CRC are more prone to develop toxicity associated with targeted therapies than males (25, 26). However, serious neurological symptoms and mood disorders were mainly observed in men rather than women treated with target therapies (27). Additionally, neuropsychiatric ADRs were primarily reported by consumers, as stated in a previous study (28). Although FAERS is a global database, a large portion of spontaneous reports, including those related to neuropsychiatric ADRs, originated from America. This could potentially be attributed to the growing manufacturing activities and investments made by pharmaceutical companies leading to an increased request for efficient pharmacovigilance service (29).
Considering the seriousness and outcomes, a higher percentage of serious ADRs was shown for neuropsychiatric reports compared to all other reports, particularly those with disabled outcomes. In a pharmacovigilance study, serious neurological ADRs were mainly reported for ENC in combination with binimetinib in cases where melanoma was the indicated condition (17). Furthermore, REG seemed to have a higher likelihood of developing serious ADRs, including neuropsychiatric ones, in patients with mCRC as well as in subjects with GIST (16). This could potentially be explained by the invasive nature of cancer, but also by the lower survival benefit resulting from the oral TKI discontinuation after the occurrence of serious ADRs (5, 30).
The median TTO of neuropsychiatric ADRs was lower with REG compared to ENC. Based on the literature, the median TTO of ADRs related to the nervous system disorders was 225 days with ENC+CET (31) while it was 54 days for peripheral neuropathy with ENC+binimetinib (17). Another study investigating all neuropsychiatric ADRs associated with TKIs in GIST patients showed a median TTO of 22 days for REG (16). These findings were higher than it was observed in the present study, likely due to limited cases reporting TTO, the involvement of different types of cancer, or the presence of comorbidities.
Neuropsychiatric ADRs most commonly reported for REG included neuropathy peripheral, headache, dizziness, paraesthesia, and confusional state, as observed in several studies (10, 16, 32, 33). Headache was also frequently reported for ENC, with approximately 20% of patients receiving ENC+CET experiencing this ADR, as indicated in the literature (5, 31). Additionally, the FDA label for REG highlights headache as very common, without specifically mentioning of other neuropsychiatric ADRs. However, the European Medicines Agency (EMA) Summary of Product Characteristics (SmPC) for REG mentions tremor, peripheral neuropathy, and posterior encephalopathy syndrome (PRES) (34).
The disproportional analysis revealed some potential unexpected signals that were not reported in the FDA labels, with certain mechanisms yet to be defined. For REG, a statistically significant ROR was found for nerve disorders and associated symptoms, such as neuropathy peripheral, peripheral sensory neuropathy, sciatica, neuralgia, hyperaesthesia, thermohyperaesthesia, hypoaesthesia, and burning sensation. Although REG is related to low direct neurotoxicity, it could have potential side effects targeting VEGF, including vascular toxicity that could lead to neurotoxicity as a consequence (35). The onset of nerve disorders may occur as a result of unexpected stimulation of the MAPK pathway, leading to increased growth of Schwann cells. Conversely, selective activation of the MAPK signaling pathway or, alternatively, overexpression of RAF showed a negative impact on Schwann cell differentiation (36, 37). Moreover, aberrant immune activation against peripheral nerves could lead to treatment-induced inflammatory demyelinating peripheral neuropathy, particularly due the significant role played by the MAPK pathway in the production of proinflammatory cytokines (38, 39). However, a potential correlation with pre-existing nervous or psychiatric comorbidities, as well as the concomitant use of other drugs cannot be excluded. Also, prior treatment lines, including cytotoxic drugs that may cause neurotoxicity, such as oxaliplatin, should be taken into account when reporting neuropsychiatric ADRs in pretreated CRC patients (40). Furthermore, the role of prior radiation therapy and the administration of immune checkpoint inhibitors (ICIs) could impair neuronal repair and exacerbate nerve toxicity with REG (41, 42). Moreover, hyperaesthesia, thermohyperaesthesia, hypoaesthesia, and burning sensation, can be considered as consequential symptoms of neuropathy, as already known in the literature (18).
A disproportionality analysis revealed a significant association between REG and taste disorders, including hypogeusia. Disturbed taste is a well-known ADR of REG and mentioned in the EMA SmPC but not in the FDA Prescribing Information. In an exploratory study, taste disorders were reported in 55% of patients treated with REG and were found to be associated with a lower QoL (43). The onset of taste disorders, such as hypogeusia, may be linked to an uncharacterized neuropathic etiology, possibly attributed to the involvement of the chorda tympani nerve responsible for taste and salivary innervation (44). Another significant and unexpected disproportion was observed in relation to slow speech. Speech disorders may be associated with the development of stomatitis, which is caused by DNA damage to the mucosal surface (45); otherwise, a case report described a patient undergoing treatment with REG who experienced slurred speech, probably due to the presence of brain metastases (46). Focusing on motor dysfunctions, such as dysstasia, several case reports (46–48) have suggested a potential cause: the interference of TKIs with cerebral signal pathway or distress resulting from their antiangiogenic action, which may lead to brain-related complications in patients with predisposing conditions. Moreover, a genetic polymorphism in pharmacokinetic and pharmacodynamic pathways could also contribute to these ADRs (46).
Regarding sleep disturbances, there was a significant unknown disproportionality for poor-quality sleep, hypersomnia and, insomnia within the SOC psychiatric disorder, for REG. TKIs are commonly associated with sleep disorders, as evidenced by a clinical study where 14% of TKI-treated patients had serious sleep disturbances, with improvements noted upon TKI discontinuation (49). Furthermore, the onset of sleep disturbance is frequently reported as a troublesome symptom in patients undergoing REG treatment (50). However, the onset of sleep disorders may be related to the pathogenesis and progression of CRC itself; in fact, more than 70% of CRC patients have reported sleeping issues associated with circadian disruption. The dysregulation of circadian genes in cancer leads to the downregulation of PER2 and the upregulation of β-catenin protein levels, which can cause the proliferation of CRC cells (51). Additionally, the development of insomnia may not be specific to the type of drug used; a previous study found no differences among chemotherapy, ICIs, and target therapy (52–54).
The consistent disproportionality of altered state of consciousness, incoherent status, disorientation, and delirium is not reported in the FDA label for REG. Similarly, cognitive disorders are not mentioned in the FDA label for ENC. Nevertheless, altered mental status is reported in the EMA SmPC for REG (34). Cognitive impairment can be considered as an effect resulting from the activation of multiple signaling pathways, including RAF/MAPK and VEGF/VEGFR2/mTOR, which subsequently affect various cellular processes associated with corticogenesis (33, 41, 55). Cognitive disorders have been also found to be three to five times higher in CRC patients compared to healthy control, with higher rates of impairment observed in women than men (56).
Moreover, depressed mood was identified as a potential unknown disproportionality signal for both REG and ENC. Depressed mood may be associated with a diagnosis of depression following the diagnosis of CRC, whether or not it is related to the administration of BRAFi (57, 58). The onset of depressed mood with ENC may be linked to its concomitant use with CET, as mentioned in CET FDA label (59). Depression could also be influenced by the impact on QoL of typical CET toxicities, for instance diarrhea and skin rash. It’s worth noting that CET-related skin rash occurs much less frequently and is less severe when combined with ENC compared to monotherapy (60). However, a possible correlation with ENC cannot be excluded.
Considering brain oedema, it is an unknown effect associated with ENC that could be also caused by brain metastases rather than ENC. Localized or peripheral oedema was reported in the EMA SmPC (61), but not in the FDA label. Oedema was frequently observed with BRAFi/MEKi combinations (62), but no literature evidence was found for the association with CET.
Strengths and limitations
The SRS analyses are the most common pharmacovigilance methods and the best ones to generate potential signals that require further validation (63). The FAERS database allows for the detection of neuropsychiatric ADRs related to the use of oral TKIs approved for mCRC, including rare and serious ones, due to the extensive collection of reports. No previous studies aimed to evaluate REG- and ENC-related neuropsychiatric ADRs in mCRC. The increased use oral TKIs as second line therapy and the recent approval of the association ENC+CET, make further safety investigations on these drugs necessary, especially for neuropsychiatric ADRs. Therefore, the major strength of this study is that it contributed to the cumulative knowledge about the safety profile of oral TKIs using a global database and merging a disproportionality approach with case/non-case evaluation (21). Patients diagnosed with mCRC have worse health related QoL, which can be influenced by the use of oral TKIs as second line therapy following previous treatments, including chemotherapy. Negative effects can also arise from the duration of the tumor course and the progression of metastases. Indeed, it would be interesting to analyze, in a real-world setting, whether the patterns of metastatic disease in CRC (e.g., bone or brain metastases) could influence the development of neuropsychiatric ADRs. Additionally, pre-existing nervous or psychiatric comorbidities, or those consequent to the cancer diagnosis, such as depression, should be considered. For all the aforementioned reasons, avoiding the onset of neuropsychiatric ADRs, that could further worsen QoL with conditions, such as cognitive impairment and nerve disorders, could be useful in improving the management and compliance of patients with cancer, including CRC, as observed in previous studies (16, 64, 65).
However, global databases, including FAERS, suffer from several limitations that should be taken into account when analyzing ADRs. These limitations include underreporting and overreporting phenomena of certain ADRs. The lack of a denominator which represents the total number of patients exposed to a specific product, also poses a challenge. Moreover, due to the recent approval of ENC in comparison to REG, fewer than 10% of neuropsychiatric ADRs had ENC as primary suspect. The background reporting rate can also be influenced by the association between an ADR and the use of secondary suspect drugs, including CET in ENC-related reports, making it difficult to establish a causal relationship and reducing the sensitivity of the analysis. Additionally, important information such as demographic characteristics, TTO, dechallenge, rechallenge, comorbidities, and comedications maybe be missing from the reports (66–70).
Furthermore, oral TKIs are prescribed for advanced and mCRC, which means that some serious neuropsychiatric ADRs may be attributed to neoplasm progression, delayed ADRs, or comorbidities in mCRC patients treated with oral TKIs (17, 71). Despite these limitations, reports obtained from the FAERS database help in better characterizing the safety profile of ENC and REG, which is particularly important for preventing neuropsychiatric ADRs in mCRC patients and assisting oncologists in effectively managing potential complications, thus improving patient’s health related QoL.
Conclusions
This study confirms the crucial role of the FAERS database in evaluating neuropsychiatric ADRs related to oral TKIs approved for mCRC. REG has higher probability of reporting neuropsychiatric ADRs compared to ENC, which could be attributed to its previous approval for mCRC. The case/non-case analysis and the calculation of ROR have highlighted some ADRs that have not been extensively reported in the literature but are worth discussing, such as nerve disorders, taste disorders, slow speech, and sleep disturbances for REG, and cognitive disorders, brain oedema, and depressed mood for ENC.
Neuropsychiatric ADRs can significantly impact a patient’s QoL and treatment outcomes. By considering pre-existing nervous or psychiatric comorbidities, oncologists can better assess the potential risks and take appropriate measures to minimize the occurrence of ADRs or manage them effectively. However, further real-world studies are necessary to achieve a better understanding of these ADRs and their impact on patients’well-being.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://fis.fda.gov/extensions/FPD-QDE-FAERS/FPD-QDE-FAERS.html.
Ethics statement
The study was approved by the Ethics Committee of University Hospital of Messina (n. 40/23 of 28th February 2023). Written informed consent from the participants was not required to participate in this study in accordance with the national legislation and the institutional requirements.
Author contributions
MAB: Conceptualization, Formal Analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing. GR: Conceptualization, Formal Analysis, Methodology, Visualization, Writing – original draft. EES: Formal Analysis, Visualization, Writing – original draft. GC: Visualization, Writing – original draft. TF: Visualization, Writing – review & editing. MS: Visualization, Writing – review & editing. DS: Visualization, Writing – review & editing. ES: Supervision, Validation, Visualization, Writing – review & editing. NS: Supervision, Validation, Visualization, Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author(s) declare that, NS and ES were both guest associate editors, MS and TF were both associate editors, and MAB was a review editor and were members of Frontiers editorial board at the time of submission. This had no impact on the peer review process and the final decision.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Bylsma LC, Gillezeau C, Garawin TA, Kelsh MA, Fryzek JP, Sangaré L, et al. Prevalence of RAS and BRAF mutations in metastatic colorectal cancer patients by tumor sidedness: A systematic review and meta-analysis. Cancer Med (2020) 9:1044–57. doi: 10.1002/cam4.2747
2. Chang Y-Y, Lin P-C, Lin H-H, Lin J-K, Chen W-S, Jiang J-K, et al. Mutation spectra of RAS gene family in colorectal cancer. Am J Surg (2016) 212:537–544.e3. doi: 10.1016/j.amjsurg.2016.02.013
3. Sepulveda AR, Hamilton SR, Allegra CJ, Grody W, Cushman-Vokoun AM, Funkhouser WK, et al. Molecular biomarkers for the evaluation of colorectal cancer: guideline from the american society for clinical pathology, college of american pathologists, association for molecular pathology, and american society of clinical oncology. Arch Pathol Lab Med (2017) 141:625–57. doi: 10.5858/arpa.2016-0554-CP
4. Zarkavelis G. Current and future biomarkers in colorectal cancer. Ann Gastroenterol (2017) 30:613–21. doi: 10.20524/aog.2017.0191
5. Tabernero J, Velez L, Trevino TL, Grothey A, Yaeger R, Van Cutsem E, et al. Management of adverse events from the treatment of encorafenib plus cetuximab for patients with BRAF V600E-mutant metastatic colorectal cancer: insights from the BEACON CRC study. ESMO Open (2021) 6:100328. doi: 10.1016/j.esmoop.2021.100328
6. Caputo F, Santini C, Bardasi C, Cerma K, Casadei-Gardini A, Spallanzani A, et al. BRAF-mutated colorectal cancer: clinical and molecular insights. Int J Mol Sci (2019) 20:5369. doi: 10.3390/ijms20215369
7. Hummel M, Hegewisch-Becker S, Neumann JHL, Vogel A. BRAF testing in metastatic colorectal carcinoma and novel, chemotherapy-free therapeutic options. Pathologe (2021) 42:98–109. doi: 10.1007/s00292-021-00946-5
8. Dhillon S. Regorafenib: A review in metastatic colorectal cancer. Drugs (2018) 78:1133–44. doi: 10.1007/s40265-018-0938-y
9. Cervantes A, Adam R, Roselló S, Arnold D, Normanno N, Taïeb J, et al. Metastatic colorectal cancer: ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up ☆. Ann Oncol (2023) 34:10–32. doi: 10.1016/j.annonc.2022.10.003
10. Grothey A, Van CE, Sobrero A, Siena S, Falcone A, Ychou M, et al. Regorafenib monotherapy for previously treated metastatic colorectal cancer (CORRECT): an international, multicentre, randomised, placebo-controlled, phase 3 trial. Lancet (2013) 381:303–12. doi: 10.1016/S0140-6736(12)61900-X
11. US Food and Drug Administration. Full prescribing information stivarga® (2012). Available at: https://www.accessdata.fda.gov/drugsatfda_docs/label/2012/203085lbl.pdf (Accessed January 30, 2023).
12. US Food and Drug Administration. Full prescribing information Braftovi® (2018). Available at: https://www.accessdata.fda.gov/drugsatfda_docs/label/2020/210496s006lbl.pdf (Accessed January 30, 2023).
13. García-Alfonso P, Muñoz Martín AJ, Ortega Morán L, Soto Alsar J, Torres Pérez-Solero G, Blanco Codesido M, et al. Oral drugs in the treatment of metastatic colorectal cancer. Ther Adv Med Oncol (2021) 13:175883592110090. doi: 10.1177/17588359211009001
14. Piawah S, Venook AP. Targeted therapy for colorectal cancer metastases: A review of current methods of molecularly targeted therapy and the use of tumor biomarkers in the treatment of metastatic colorectal cancer. Cancer (2019) 125:4139–47. doi: 10.1002/cncr.32163
15. Van Cutsem E, Martinelli E, Cascinu S, Sobrero A, Banzi M, Seitz J-F, et al. Regorafenib for patients with metastatic colorectal cancer who progressed after standard therapy: results of the large, single-arm, open-label phase IIIb CONSIGN study. Oncologist (2019) 24:185–92. doi: 10.1634/theoncologist.2018-0072
16. Barbieri MA, Sorbara EE, Russo G, Cicala G, FranChina T, Santarpia M, et al. Neuropsychiatric adverse drug reactions with tyrosine kinase inhibitors in gastrointestinal stromal tumors: an analysis from the european spontaneous adverse event reporting system. Cancers (Basel) (2023) 15:1851. doi: 10.3390/cancers15061851
17. Meirson T, Asher N, Bomze D, Markel G. Safety of BRAF+MEK inhibitor combinations: severe adverse event evaluation. Cancers (Basel) (2020) 12:1650. doi: 10.3390/cancers12061650
18. Picca A, Birzu C, Berzero G, Sanchez-Pena P, Gaboriau L, Vidil F, et al. Peripheral neuropathies after BRAF and/or MEK inhibitor treatment: A pharmacovigilance study. Br J Clin Pharmacol (2022) 88:4941–9. doi: 10.1111/bcp.15513
19. Raschi E, Fusaroli M, Giunchi V, Repaci A, Pelusi C, Mollica V, et al. Adrenal insufficiency with anticancer tyrosine kinase inhibitors targeting vascular endothelial growth factor receptor: analysis of the FDA adverse event reporting system. Cancers (Basel) (2022) 14:4610. doi: 10.3390/cancers14194610
20. Bate A, Evans SJW. Quantitative signal detection using spontaneous ADR reporting. Pharmacoepidemiol Drug Saf (2009) 18:427–36. doi: 10.1002/pds.1742
21. Harpaz R, DuMouchel W, LePendu P, Bauer-Mehren A, Ryan P, Shah NH. Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system. Clin Pharmacol Ther (2013) 93:539–46. doi: 10.1038/clpt.2013.24
22. Norén GN, Hopstadius J, Bate A. Shrinkage observed-to-expected ratios for robust and transparent large-scale pattern discovery. Stat Methods Med Res (2013) 22:57–69. doi: 10.1177/0962280211403604
23. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin (2022) 72:7–33. doi: 10.3322/caac.21708
24. Vardy JL, Pond GR, Cysique LA, Gates TM, Lagopoulos J, Renton C, et al. Lack of cognitive impairment in long-term survivors of colorectal cancer. Supportive Care Cancer (2022) 30:6123–33. doi: 10.1007/s00520-022-07008-3
25. Vandeputte C, Bregni G, Gkolfakis P, Guiot T, Pretta A, Kehagias P, et al. Sex and regorafenib toxicity in refractory colorectal cancer: safety analysis of the regARd-C trial. Clin Colorectal Cancer (2021) 20:326–33. doi: 10.1016/j.clcc.2021.07.006
26. Baraibar I, Ros J, Saoudi N, Salvà F, García A, Castells MR, et al. Sex and gender perspectives in colorectal cancer. ESMO Open (2023) 8:101204. doi: 10.1016/j.esmoop.2023.101204
27. Unger JM, Vaidya R, Albain KS, LeBlanc M, Minasian LM, Gotay CC, et al. Sex differences in risk of severe adverse events in patients receiving immunotherapy, targeted therapy, or chemotherapy in cancer clinical trials. J Clin Oncol (2022) 40:1474–86. doi: 10.1200/JCO.21.02377
28. Aagaard L, Nielsen LH, Hansen EH. Consumer reporting of adverse drug reactions. Drug Saf (2009) 32:1067–74. doi: 10.2165/11316680-000000000-00000
29. Pharmacovigilance Market Research. North america pharmacovigilance market research report - segmented by clinical trial phase, service provider, method & Country (the United States, Canada and rest of north america) - industry analysis on size, share, trends, COVID-19 impact growth forecas (2023). Available at: https://www.marketdataforecast.com/market-reports/na-pharmacovigilence-market (Accessed July 1, 2023).
30. Beom S-H, Bae KB, Zang DY, Bae J, Hwang IG, Kang HJ, et al. Real-world experience of safety and effectiveness of regorafenib for treatment of metastatic colorectal cancer, advanced gastrointestinal stromal tumors, and hepatocellular carcinoma: a post-marketing surveillance study in Korea. J Cancer (2022) 13:3396–403. doi: 10.7150/jca.74107
31. Stintzing S, Seufferlein T, Rosé C, Reichenbach F, Lüftner D. Encorafenib in combination with cetuximab after systemic therapy in patients with BRAFV600E mutant metastatic colorectal cancer: german health technology assessment-driven analyses from the BEACON CRC study. Clin Colorectal Cancer (2022) 21:244–51. doi: 10.1016/j.clcc.2022.04.002
32. Agulnik M, Schulte B, Robinson S, Hirbe AC, Kozak K, Chawla SP, et al. An open-label single-arm phase II study of regorafenib for the treatment of angiosarcoma. Eur J Cancer (2021) 154:201–8. doi: 10.1016/j.ejca.2021.06.027
33. Aanes SG, Nieder C, Prytz J, Odeh F. man in his 50s with neurological symptoms during cancer treatment. Tidsskr Nor Laegeforen (2018) 138(17):1–8. doi: 10.4045/tidsskr.18.0096
34. European Medicines Agency. Stivarga®, summary of product characteristics (2013). Available at: https://www.ema.europa.eu/en/documents/product-information/stivarga-epar-product-information_en.pdf (Accessed January 19, 2023).
35. Zukas AM, Schiff D. Neurological complications of new chemotherapy agents. Neuro Oncol (2018) 20:24–36. doi: 10.1093/neuonc/nox115
36. Wisler JA, Afshari C, Fielden M, Zimmermann C, Taylor S, Carnahan J, et al. Raf inhibition causes extensive multiple tissue hyperplasia and urinary bladder neoplasia in the rat. Toxicol Pathol (2011) 39:809–22. doi: 10.1177/0192623311410442
37. Harrisingh MC, Perez-Nadales E, Parkinson DB, Malcolm DS, Mudge AW, Lloyd AC. The Ras/Raf/ERK signalling pathway drives Schwann cell dedifferentiation. EMBO J (2004) 23:3061–71. doi: 10.1038/sj.emboj.7600309
38. Compter A, Boogerd W, van Thienen JV, Brandsma D. Acute polyneuropathy in a metastatic melanoma patient treated with vemurafenib and cobimetinib. Neurol Clin Pract (2017) 7:418–20. doi: 10.1212/CPJ.0000000000000331
39. Velter C, Libenciuc C, Routier E, Mateus C, Fahmy J, Ghoufi L, et al. Neurotoxicity induced by targeted therapies in patients treated for metastatic melanoma. Eur J Cancer (2019) 111:8–11. doi: 10.1016/j.ejca.2019.01.017
40. Was H, Borkowska A, Bagues A, Tu L, Liu JYH, Lu Z, et al. Mechanisms of chemotherapy-induced neurotoxicity. Front Pharmacol (2022) 13:750507. doi: 10.3389/fphar.2022.750507
41. Tian S, Nissenblatt M, Goyal S. Regorafenib-induced transverse myelopathy after stereotactic body radiation therapy. J Gastrointest Oncol (2014) 5:E128–31. doi: 10.3978/j.issn.2078-6891.2014.088
42. Smyth D, Kramarz C, Carr AS, Rossor AM, Lunn MP. Toxic neuropathies: a practical approach. Pract Neurol (2023) 23:120–30. doi: 10.1136/pn-2022-003444
43. van Elst JM, IJzerman NS, Mathijssen RHJ, Steeghs N, Reyners AKL, de Haan JJ. Taste, smell and mouthfeel disturbances in patients with gastrointestinal stromal tumors treated with tyrosine-kinase inhibitors. Support Care Cancer (2022) 30:2307–15. doi: 10.1007/s00520-021-06658-z
44. Yuan A, Kurtz SL, Barysauskas CM, Pilotte AP, Wagner AJ, Treister NS. Oral adverse events in cancer patients treated with VEGFR-directed multitargeted tyrosine kinase inhibitors. Oral Oncol (2015) 51:1026–33. doi: 10.1016/j.oraloncology.2015.09.003
45. Krishnamoorthy SK, Relias V, Sebastian S, Jayaraman V, Saif MW. Management of regorafenib-related toxicities: a review. Therap Adv Gastroenterol (2015) 8:285–97. doi: 10.1177/1756283X15580743
46. Rosati G, Del Gaudio N, Scarano E, Cifarelli RA, Altucci L, Bilancia D. Unexpected and durable response with regorafenib in a metastatic colorectal cancer patient without KDR mutation. Medicine (2018) 97:e11178. doi: 10.1097/MD.0000000000011178
47. Quirino M, Rossi S, Schinzari G, Basso M, Strippoli A, Cassano A, et al. Unexpected side effect in mCRC. Medicine (2017) 96:e6522. doi: 10.1097/MD.0000000000006522
48. Kunadu A, Alqalyoobi S, Frere RC, Obi ON. Acute motor neuropathy with quadriparesis following treatment with triple tyrosine kinase inhibitor, nintedanib. Respir Med Case Rep (2021) 34:101472. doi: 10.1016/j.rmcr.2021.101472
49. Atallah E, Schiffer CA, Radich JP, Weinfurt KP, Zhang M-J, Pinilla-Ibarz J, et al. Assessment of outcomes after stopping tyrosine kinase inhibitors among patients with chronic myeloid leukemia. JAMA Oncol (2021) 7:42. doi: 10.1001/jamaoncol.2020.5774
50. Martin AJ, Gibbs E, Sjoquist K, Pavlakis N, Simes J, Price T, et al. Health-related quality of life associated with regorafenib treatment in refractory advanced gastric adenocarcinoma. Gastric Cancer (2018) 21:473–80. doi: 10.1007/s10120-017-0754-1
51. Ton M, Watson NF, Sillah A, Malen RC, Labadie JD, Reedy AM, et al. Colorectal cancer anatomical site and sleep quality. Cancers (Basel) (2021) 13:2578. doi: 10.3390/cancers13112578
52. Kiss I, Kuhn M, Hrusak K, Buchler B, Boublikova L, Buchler T. Insomnia in patients treated with checkpoint inhibitors for cancer: A meta-analysis. Front Oncol (2022) 12:946307. doi: 10.3389/fonc.2022.946307
53. Lu Y, Tian N, Yin J, Shi Y, Huang Z. Association between sleep duration and cancer risk: A meta-analysis of prospective cohort studies. PloS One (2013) 8:e74723. doi: 10.1371/journal.pone.0074723
54. Walker WH, Borniger JC. Molecular mechanisms of cancer-induced sleep disruption. Int J Mol Sci (2019) 20:2780. doi: 10.3390/ijms20112780
55. Abdel-Aziz AK, Mantawy EM, Said RS, Helwa R. The tyrosine kinase inhibitor, sunitinib malate, induces cognitive impairment in vivo via dysregulating VEGFR signaling, apoptotic and autophagic machineries. Exp Neurol (2016) 283:129–41. doi: 10.1016/j.expneurol.2016.06.004
56. Vardy J, Dhillon HM, Pond GR, Rourke SB, Xu W, Dodd A, et al. Cognitive function and fatigue after diagnosis of colorectal cancer. Ann Oncol (2014) 25:2404–12. doi: 10.1093/annonc/mdu448
57. Peng Y-N, Huang M-L, Kao C-H. Prevalence of depression and anxiety in colorectal cancer patients: A literature review. Int J Environ Res Public Health (2019) 16:411. doi: 10.3390/ijerph16030411
58. Phillips KM, Pinilla-Ibarz J, Sotomayor E, Lee MR, Jim HSL, Small BJ, et al. Quality of life outcomes in patients with chronic myeloid leukemia treated with tyrosine kinase inhibitors: a controlled comparison. Support Care Cancer (2013) 21:1097–103. doi: 10.1007/s00520-012-1630-5
59. Food and Drug Administration. Full prescribing information erbitux® (2019). Available at: https://www.accessdata.fda.gov/drugsatfda_docs/label/2019/125084s273lbl.pdf (Accessed July 1, 2023).
60. Ciccolini J, Milano G. Fewer cetuximab-related skin-toxicities in colorectal cancer patients treated with encorafenib: a Yin and Yang effect of ERK paradoxical activation. Ann Oncol (2022) 33:981–2. doi: 10.1016/j.annonc.2022.06.002
61. European Medicines Agency. Erbitux®, summary of product characteristics (2009). Available at: https://www.ema.europa.eu/en/documents/product-information/erbitux-epar-product-information_en.pdf (Accessed July 1, 2023).
62. Heinzerling L, Eigentler TK, Fluck M, Hassel JC, Heller-Schenck D, Leipe J, et al. Tolerability of BRAF/MEK inhibitor combinations: adverse event evaluation and management. ESMO Open (2019) 4:e000491. doi: 10.1136/esmoopen-2019-000491
63. Raschi E, Moretti U, Salvo F, Pariente A, Cosimo Antonazzo I, de Ponti F, et al. “Evolving roles of spontaneous reporting systems to assess and monitor drug safety. ,” Pharmacovigilance (2019) 63:1–28. doi: 10.5772/intechopen.79986
64. Barbieri MA, Sorbara EE, Cicala G, Santoro V, Cutroneo PM, FranChina T, et al. Safety profile of tyrosine kinase inhibitors used in non-small-cell lung cancer: An analysis from the Italian pharmacovigilance database. Front Oncol (2022) 12:1005626. doi: 10.3389/fonc.2022.1005626
65. Barbieri MA, Sorbara EE, Cicala G, Santoro V, Cutroneo PM, FranChina T, et al. Adverse drug reactions with HER2-positive breast cancer treatment: an analysis from the italian pharmacovigilance database. Drugs Real World Outcomes (2022) 9:91–107. doi: 10.1007/s40801-021-00278-z
66. Pal SN, Duncombe C, Falzon D, Olsson S. WHO strategy for collecting safety data in public health programmes: complementing spontaneous reporting systems. Drug Saf (2013) 36:75–81. doi: 10.1007/s40264-012-0014-6
67. Grampp G, Felix T. Pharmacovigilance considerations for biosimilars in the USA. BioDrugs (2015) 29:309–21. doi: 10.1007/s40259-015-0137-2
68. Wang H, Hochberg AM, Pearson RK, Hauben M. An experimental investigation of masking in the US FDA adverse event reporting system database. Drug Saf (2010) 33:1117–33. doi: 10.2165/11584390-000000000-00000
69. Pariente A, Avillach P, Salvo F, Thiessard F, Miremont-Salamé G, Fourrier-Reglat A, et al. Effect of competition bias in safety signal generation. Drug Saf (2012) 35:855–64. doi: 10.2165/11631780-000000000-00000
70. Hauben M, Madigan D, Gerrits CM, Walsh L, Van Puijenbroek EP. The role of data mining in pharmacovigilance. Expert Opin Drug Saf (2005) 4:929–48. doi: 10.1517/14740338.4.5.929
Keywords: adverse drug reactions, colorectal cancer, encorafenib, neuropsychiatric disorders, oral tyrosine kinase inhibitors, regorafenib
Citation: Barbieri MA, Russo G, Sorbara EE, Cicala G, Franchina T, Santarpia M, Speranza D, Spina E and Silvestris N (2023) Neuropsychiatric adverse drug reactions with oral tyrosine kinase inhibitors in metastatic colorectal cancer: an analysis from the FDA Adverse Event Reporting System. Front. Oncol. 13:1268672. doi: 10.3389/fonc.2023.1268672
Received: 28 July 2023; Accepted: 09 October 2023;
Published: 31 October 2023.
Edited by:
Carmen Guillen Ponce, Ramón y Cajal University Hospital, SpainReviewed by:
Anas Hamad, Hamad Medical Corporation, QatarRobin Van Geel, Maastricht University Medical Center, Netherlands
Copyright © 2023 Barbieri, Russo, Sorbara, Cicala, Franchina, Santarpia, Speranza, Spina and Silvestris. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Maria Antonietta Barbieri, bWJhcmJpZXJpQHVuaW1lLml0