Abstract
Background
The development of anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors (TKIs) has improved the survival outcomes of patients with advanced ALK-rearranged non-small-cell lung cancer (NSCLC). The adverse events (AEs) related to ALK inhibitors are fairly well known; notably, about 20% of patients receiving lorlatinib experienced cognitive effects and behavioral alterations in pivotal trials. Therefore, psychiatric disorders could represent AEs of special interest for all ALK TKIs, deserving careful assessment in the post-marketing setting.
Objective
We conducted a real-world pharmacovigilance study on psychiatric AEs with marketed ALK inhibitors in subjects with advanced NSCLC.
Patients and methods
We performed an observational, retrospective analysis of spontaneous reports submitted to the Food and Drug Administration Adverse Events Reporting System (FAERS, as of December 2020), selecting psychiatric AEs to ALK TKIs approved in NSCLC (crizotinib, ceritinib, alectinib, brigatinib, lorlatinib). These AEs were independently scrutinized by three oncologists applying predefined exclusion criteria, described in terms of clinical/demographic features and assessed for drug-related causality according to an adaptation of the WHO–UMC system, a standardized probabilistic algorithm.
Results
Among 584 reported psychiatric AEs, 95 cases were selected as potentially treatment related, with higher reporting frequency for lorlatinib (26, 2.8%), followed by brigatinib (10, 1.2%), alectinib (18, 0.7%), ceritinib (12, 0.6%), and crizotinib (29, 0.3%). Reported psychiatric symptoms were mood disorders (39), psychotic disorders (24), and anxiety, agitation, and irritability (25). In the majority (74%) of cases, psychiatric AEs were serious and required hospitalization in about 32% of patients; 15.8% of retained cases were considered as highly probable and 69.5% as probable. Drug discontinuation was recorded in 31.6% of the reported cases, with the highest proportion for lorlatinib (65.4%).
Conclusion
Notwithstanding limitations, our study found a higher proportion of psychiatric AEs with lorlatinib, but also raised the hypothesis of psychiatric reactions as a class effect of ALK TKIs.
Supplementary Information
The online version contains supplementary material available at 10.1007/s11523-021-00865-8.
Key Points
Spontaneous reporting systems are needed to detect and better characterize adverse events (AEs) with anaplastic lymphoma kinase (ALK) inhibitors in a timely manner in the real world. |
Although rare, psychiatric disorders submitted to FAERS represent AEs of special interest with ALK inhibitors, the majority being serious, with probable causality. |
This real-world pharmacovigilance study on marketed ALK inhibitors suggested that psychiatric AEs are adverse reactions to ALK TKIs, and raised the hypothesis of a class effect. |
Introduction
Anaplastic lymphoma kinase (ALK) gene rearrangements account for 4–6% of all non-small-cell lung cancers (NSCLCs) [1]. Echinoderm microtubule-associated protein-like 4 (EML4) gene represents the most frequent partner involved in rearrangement gene process, resulting in the fusion oncogene EML4-ALK. ALK rearrangements are often associated with specific clinical features, such as never- or light-smoking history, young age (median age ~50 years), adenocarcinoma histology and central nervous system (CNS) metastatic involvement at diagnosis or during disease evolution [2].
Different methods such as fluorescence in situ hybridization, immunohistochemistry, and next-generation sequencing are the gold-standard assays to test ALK gene fusion and are routinely used in patients with advanced non-squamous NSCLC [3]. NSCLC harboring ALK gene fusions are sensitive to ALK tyrosine kinase inhibitors (TKIs), which demonstrated impressive response rates and significantly improved survival outcomes. The PROFILE 1014 trial was the first phase III study to demonstrate higher activity and efficacy outcomes of crizotinib, a first-generation ALK TKI, over standard platinum-pemetrexed chemotherapy as first-line treatment in advanced ALK-positive NSCLC patients [4]. Subsequently, the second- (alectinib, brigatinib) and third-generation (lorlatinib) ALK TKIs showed higher CNS activity and better efficacy than crizotinib [5–8]. Currently, these novel-generation ALK TKIs are administered as first-line therapy, allowing long-term disease control (approaching the 3 years for alectinib and brigatinib) [9, 10] and a peculiar activity against brain metastases (BM) [5–7, 9–11].
In pivotal studies of first-line ALK TKIs, the most common (of any grade) treatment-related adverse events (AEs) were vision disorders (about 70% for crizotinib), nausea and diarrhea (respectively up to 69% and 85% with ceritinib and 49% with brigatinib), hypercholesterolemia (up to 70% with lorlatinib), hypertriglyceridemia (64% with lorlatinib), peripheral edema (up to 17% with alectinib and 55% with lorlatinib), anemia (15% of cases with ceritinib and 19% with lorlatinib), increased alanine aminotransferase (up to 58% with ceritinib) and aspartate aminotransferase (up to 32% with ceritinib), for which interruption and dose modification could be needed [4–7, 11]. Because ALK TKIs are administered for a long period of time, both efficacy and tolerability are key determinants of treatment choice [12]. Early observations of potential different toxicity profiles can encourage physicians to switch to a different ALK TKI when encountering an AE requiring treatment discontinuation [13].
Notably, 23% of patients treated with lorlatinib, a brain-penetrant ALK TKI, experienced cognitive effects (such as memory impairment, cognitive disorders, and amnesia), and behavioral alterations were reported in up to 21% of cases, most frequently as irritability, anxiety, depression, and affection lability [14]. The actual clinical and epidemiological impact of some relatively rare AEs, such as psychiatric disorders, can be better assessed in real-world experience than in registration trials. Therefore, post-marketing studies are needed to describe rare and unexpected toxicities for drugs marketed through accelerated approval [15].
We conducted a real-world pharmacovigilance study on psychiatric AEs with ALK TKIs for NSCLC submitted to the publicly available Food and Drug Administration Adverse Events Reporting System (FAERS).
Methods
The study was conceived as an observational, retrospective pharmacovigilance analysis of FAERS, a recognized source for timely real-world safety assessment of anticancer drugs [16].
We queried the FAERS public dashboard to select AEs reported for the following ALK TKIs approved in NSCLC: crizotinib, alectinib, ceritinib, brigatinib, and lorlatinib.
Reported psychiatric AEs were analyzed to remove potential duplicates (e.g., records overlapping in key fields such as age, sex, reporter’s country, drugs, and symptoms), and the remaining cases were further scrutinized by three physicians independently by applying the following exclusion criteria: (1) clinical features, including neurologic events (delirium, insomnia, dizziness, disorientation, dementia) or CNS disease progression, (2) comorbidities (e.g., fever and infections, which may cause delirium and disorientation), (3) concomitant drugs as a proxy of pre-existing psychiatric diseases/susceptibility (antipsychotic drugs, benzodiazepines, psychostimulant drugs in relation to the type of reported symptoms), and (4) therapeutic indications outside advanced ALK-positive NSCLC (e.g. lymphoma) (Fig. 1). Each case was retained if at least two clinicians were in agreement.
Selected cases were described in terms of demographic features (e.g., age, sex, reporter Country), clinical features (e.g., signs/symptoms, seriousness, discontinuation, brain involvement), and assessed for causality (categorized as highly probable, probable, possible, unlikely) according to an adaptation of the standardized WHO–UMC system, a probabilistic algorithm (Electronic Supplementary Material, ESM). To this purpose, the following clinical features were inspected: (1) time to onset of psychiatric symptoms (calculated as the delay between the beginning of the therapy and the date the event occurred, expressed as days with interquartile range (IQR)), (2) dechallenge (clinical improvement after the suspected agent was withdrawn, according to the reporter), and rechallenge (occurrence of a similar reaction after re-administration, usually unintentional), (3) presence of CNS metastases, (4) concomitant drugs known to cause psychiatric AEs (corticosteroids and/or hydroxychloroquine); (5) role assigned by the reporter to the ALK TKI (suspect or concomitant). Highly probable cases were those with plausible time to onset (i.e., the event was recorded after ALK TKI initiation), alternative causes ruled out, and positive dechallenge and/or rechallenge.
Results
Demographic Characteristics
As of December 2020, 14,323 cases of all AEs suspected to be related to ALK TKIs were reported, and 95 (0.7%) of them were retained as psychiatric AEs (Fig. 1). For alectinib and lorlatinib psychiatric AEs were collected since 2016; for crizotinib, since 2012, for ceritinib since 2014, and for brigatinib since 2017.
Psychiatric symptoms most frequently reported were mood disorders (39 patients), psychotic disorders (24 patients), and anxiety, agitation and irritability (25 patients); other reported AEs were sleeping, cognitive and eating disorders, fear and panic attacks, and abnormal behaviors, with six attempted or completed suicide cases.
The highest number of psychiatric reports emerged for crizotinib (29, 0.3% of relevant reports), followed by lorlatinib (26, 2.8%), alectinib (18, 0.7%), ceritinib (12, 0.6%), and brigatinib (10, 1.2%) (Table 1). In general, a female preponderance emerged (65.6%), with 51.6% of the cases submitted by North America. Physicians were the main source of reports (43.9%), followed by consumers (36.4%).
Table 1.
Crizotinib No. of cases (%) |
Alectinib No. of cases (%) |
Brigatinib No. of cases (%) |
Ceritinib No. of cases (%) |
Lorlatinib No. of cases (%) |
ALK inhibitors No. of cases (%) |
ALK inhibitors No. of non-cases (%) |
||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Total reports# | 29 (0.3) | 18 (0.7) | 10 (1.2) | 12 (0.6) | 26 (2.8) | 95 (0.7) | 14,228 (99.3) | |||||
Sex | ||||||||||||
Females Males Missing |
19 (65.5) 10 (34.5) – |
13 (72.2) 5 (27.8) – |
7 (77.8) 2 (22.2) 1 (–) |
8 (66.7) 4 (33.3) – |
14 (56.0) 11 (44.0) 1 (–) |
61 (65.6) 32 (34.4) 2 (–) |
7,245 (55.9) 5,716 (44.1) 1267 (–) |
|||||
Age distribution (years) | ||||||||||||
Adult | 20 (69.0) | 11 (91.7) | 2 (66.7) | 5 (71.4) | 13 (59.1) | 51 (69.9) | 5,745 (55.6) | |||||
18–29 30–49 50–64 |
– 6 (30.0) 14 (70.0) |
– 7 (63.3) 4 (36.4) |
– – 2 (100.0) |
1 (20.0) 1 (20.0) 3 (60.0) |
2 (15.4) 6 (46.2) 5 (38.5) |
3 (5.9) 20 (39.2) 28 (54.9) |
246 (4.3) 1937 (33.7) 3562 (62.0) |
|||||
Elderly | 9 (21.0) | 1 (8.3) | 1 (33.3) | 2 (28.6) | 9 (40.9) | 22 (30.1) | 4250 (41.2) | |||||
65–74 75–84 ≥ 85 |
5 (55.6) 4 (44.4) – |
1 (100.0) – – |
– 1 (100.0) – |
1 (50.0) – 1 (50.0) |
6 (66.7) 2 (22.2) 1 (11.1) |
13 (59.1) 7 (31.8) 2 (9.1) |
2571 (60.5) 1401 (33.0) 278 (6.5) |
|||||
Other | – | – | – | – | – | – | 330 (3.2) | |||||
Missing | – | 6 (–) | 7 (–) | 5 (–) | 4 (–) | 22 (–) | 3903 (–) | |||||
Type of reporter | ||||||||||||
Consumer Physician Other Missing |
6 (20.7) 10 (34.5) 13 (44.8) – |
10 (55.6) 6 (33.3) 2 (11.1) – |
8 (80.0) 2 (20.0) – – |
3 (25.0) 8 (66.7) 1 (8.3) – |
3 (11.5) 13 (50.0) 10 (38.5) – |
30 (36.4) 39 (43.9) 26 (19.7) – |
4,231 (30.2) 5,616 (40.1) 4,148 (40.2) 233 (–) |
|||||
Reporter country | ||||||||||||
North America Europe Asia Other Missing |
16 (55.2) 5 (17.2) 8 (27.6) – – |
10 (55.6) 7 (38.9) 1 (5.6) – – |
10 (100.0) – – – – |
5 (41.7) 3 (25.0) 4 (33.3) – – |
8 (30.8) 8 (30.8) 10 (38.5) – – |
49 (51.6) 23 (24.2) 23 (24.2) – – |
8,140 (57.2) 2,576 (18.1) 2,980 (21.0) 527 (3.7) 5 (–) |
|||||
Time to onset (days) | ||||||||||||
Median (IQR) [no. of cases with available data] | 115 (17–258) [10] | 25 (8–70) [5] | – [0] | 1076 [1] | 5 (3–15) [7] | 19 (7–230) [23] | NC | |||||
Outcome | ||||||||||||
Serious Death/life-threat Disability Hospitalization Other serious Non-serious i.e., missing |
17 (58.6) 5 (17.2) – 6 (20.7) 6 (20.7) 12 (41.4) |
12 (66.7) 1 (5.6) – 10 (55.6) 1 (5.6) 6 (33.3) |
8 (80.0) – – 3 (30.0) 5 (50.0) 2 (20.0) |
10 (83.3) 3 (25.0) – 2 (16.7) 5 (41.7) 2 (16.7) |
23 (88.5) 1 (3.8) 2 (7.7) 9 (34.6) 11 (42.3) 3 (11.5) |
70 (73.7) 10 (10.5) 2 (2.1) 30 (31.6) 28 (29.5) 25 (26.3) |
10,272 (72.2) 3921 (27.6) 121 (0.8) 2875 (20.2) 3355 (23.6) 3956 (27.8) |
|||||
Action and recovery | ||||||||||||
Discontinuation Dechallenge Rechallenge |
7 (24.1) 3 (10.3) – |
4 (22.2) 2 (11.1) – |
– – – |
2 (16.7) 1 (8.3) – |
17 (65.4) 13 (50.0) 1 (3.8) |
30 (31.6) 19 (20.0) 1 (1.1) |
NC NC NC |
|||||
Synergies or alternative explanations | ||||||||||||
Glucocorticoids Brain involvement |
3 (10.3) – |
2 (11.1) 1 (5.6) |
2 (20.0) 3 (30.0) |
– – |
4 (15.4) 1 (3.8) |
11 (11.6) 5 (5.3) |
NC NC |
|||||
Causality score | ||||||||||||
Highly probable Probable Possible Unlikely |
3 (10.3) 23 (79.3) 3 (10.3) – |
1 (5.6) 15 (83.3) 1 (5.6) 1 (5.6) |
– 5 (50.0) 5 (50.0) – |
1 (8.3) 11 (91.7) – – |
10 (38.5) 12 (46.2) 3 (11.5) 1 (3.8) |
15 (15.8) 66 (69.5) 12 (12.6) 2 (2.1) |
NC NC NC NC |
#In this row, parentheses show the reporting proportion (no. of cases/no. of non-cases concerning the investigated drug); NC: not calculated
The age group most frequently affected by psychiatric AEs was 30–49 years for lorlatinib and alectinib, whereas older patients (50–64 years) were especially represented for crizotinib, brigatinib, and ceritinib.
Clinical Features and Outcomes
In the time-to-onset analysis, the latency of psychiatric AEs from drug initiation was lower for lorlatinib (5 days, median; IQR [3-15] calculated on seven patients) and alectinib (25 days [8–70] calculated on five patients) as compared to crizotinib (115 days [17–258] calculated on ten patients) and ceritinib (just one case, with onset after almost 3 years from the first administration). Time-to-onset data were missing for brigatinib. In a minority of cases, concurrent steroid therapy was reported (11.6%); brain involvement was noticed for five (5.3%) patients.
In the majority (73.7%) of cases, psychiatric AEs were serious and required hospitalization in 30 (31.6%) patients, up to 55.6% as reported for alectinib; finally, death or life-threatening events were recorded in ten (10.5%) patients. Of note, discontinuation and positive dechallenge were recorded in 31.6% and 20% of cases, respectively, with the highest proportion for lorlatinib (65.4% and 50%).
According to the adapted probabilistic algorithm for causality assessment, 15.8% of retained cases were considered as highly probable, 69.5% as probable, and just 2.1% as unlikely (ESM).
Discussion
In recent years, the development of ALK inhibitors has improved the survival outcomes of advanced ALK-rearranged NSCLC patients. In addition, the AEs with ALK TKIs are fairly well known, although emerging data are starting to accrue from pharmacovigilance [17]. Spontaneous reporting systems are needed to identify and better characterize the different AEs in a timely manner in the real world, thus increasing awareness by oncologists to handle them promptly.
In our opinion, reported psychiatric disorders represent AEs of special interest as they often are underestimated and could have an unfavorable impact on patients’ personal and social functioning.
The mechanism underlying psychiatric AEs to ALK inhibitors is unclear, although ALK can play a role in the internalization and regulation of dopamine D2 receptor (D2R), a G protein-coupled receptor expressed in brain regions that control motor function, cognition, and motivation. Its dysregulation may be involved in psychiatric disorders. Its agonist-mediated activation initially inhibits the firing of dopaminergic neurons, while prolonged exposure to dopamine desensitizes D2Rs. In mice models, ALK inhibition was demonstrated to block the recovery of inhibition by dopamine in ventral tegmental area slices [18]. Using a cell-based system, it was demonstrated that ALK is involved in D2R desensitization by promoting endocytosis in response to prolonged dopamine stimulation through a double mechanism of transactivation with D2R and of signaling mediated by protein kinase C (Fig. 2) [19].
To the best of our knowledge, our work is the first real-world pharmacovigilance study on psychiatric AEs to ALK inhibitors in NSCLC patients. While most of the pre-approval data concerned lorlatinib, we also found a non-negligible number of events with other ALK inhibitors, including first- and second-generation agents, thus raising the hypothesis of a class effect.
The highest reporting frequency of psychiatric AEs with lorlatinib also found in our study could be explained by this agent’s remarkable ability to penetrate the blood-brain barrier (BBB) and its low propensity for P-glycoprotein (P-gp) efflux [20]. The macrocyclic structural characteristics that confer these properties to lorlatinib could explain its higher accumulation in the CNS being responsible for psychiatric AEs [21, 22]. However, lorlatinib could act as a trigger after a prolonged D2R desensitization exerted by a first- and/or second-generation ALK TKI, although this remains a speculative explanation due to the lack of data regarding the use of lorlatinib (first-line versus subsequent lines) in the current FAERS analysis.
On the other hand, the non-negligible proportion of psychiatric events with crizotinib deserves further discussion. Collectively, pharmacokinetic data could suggest the low BBB penetrance of crizotinib results in worst CNS activity, as compared to alectinib and lorlatinib [23]. However, patient-related factors, especially CNS radiation, but also severe renal impairment as well as drug-drug interactions, can increase BBB penetrance [24–26] and possibly explain the observed neurocognitive toxicity. Of note, the reported onset of psychiatric AEs with crizotinib in the present study was delayed and the proportion of subjects requiring discontinuation was lower as compared to lorlatinib.
We acknowledge the limitations of our work. In particular, the retrospective nature of the study and the lack of exposure and clinical data (including missing data, comorbidities, and radiation therapy), which do not allow to infer firm causality and calculate real incidence. Moreover, FAERS is a self-reported database used for identifying potential relationship between drugs and AEs in post-marketing surveillance of drug safety, and submission to this platform is not mandatory for physicians.
There are no reasons to support the existence of confounding by indication or channeling bias (i.e., preferential prescription towards more severe patients), although other reporting biases cannot be ruled out with certainty due to different approval times and market penetration of the various ALK TKIs. We also apply stringent exclusion criteria, which, together with the likely under-reporting, may potentially underestimate actual psychiatric events.
Nonetheless, several strengths can be identified. We used a large-scale publicly accessible pharmacovigilance database, thus supporting generalizability of the results, and contributed to the cumulative knowledge about the safety of ALK inhibitors in an unselected real-world population, a topic still poorly investigated.
Current evidence suggest that, with the appearance of psychiatric disorders, antipsychotic therapy must be started. Olanzapine is one of the preferred antipsychotic drugs because it can be safely administered with concomitant ALK TKIs. Co-adjuvant drugs, such as antidepressants and benzodiazepines, can be used; conversely, other antipsychotic drugs, including risperidone and quetiapine, should be used with caution due to drug-drug interactions [27].
Conclusions
Taken together, our findings raise the hypothesis that psychiatric AEs, though rare, represent a safety issue with all ALK TKIs, and support psychiatric disorders as actual adverse drug reactions to ALK TKIs; oncologists should be aware of the onset of depression, anxiety, and mood alterations and patients and caregivers should be advised about psychiatric toxicities. Moreover, a mental state examination should be performed before beginning ALK TKI therapy and a specialist consultation may be required for patients who develop psychiatric symptoms before evaluating dose reduction or discontinuation therapy. Large prospective population-based studies are warranted to establish actual event rates and fully elucidate risk factors that might lead to proper risk management.
Supplementary Information
Below is the link to the electronic supplementary material.
Declarations
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Authors from the University of Bologna (Emanuel Raschi, Andrea Ardizzoni) are supported by Institutional Research Funds (Ricerca Fondamentale Orientata).
Conflicts of interest/Competing interests
Dr. F. Facchinetti reports personal fees from BMS and ROCHE, outside the submitted work. Prof. A. Ardizzoni reports grants and personal fees from BMS, personal fees from Eli-Lilly, Pfizer, MSD and Boehringer; grants from Celgene, outside the submitted work. Dr. F. Gelsomino reports personal fees from AstraZeneca and Eli-Lilly, outside the submitted work. Prof E. Raschi reports personal fees from Novartis, outside the submitted work. Dr. M. Sisi, Dr. M. Fusaroli, Dr. A. De Giglio declare that they have no conflicts of interest that might be relevant to the contents of this article.
Ethics approval
Not applicable.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Availability of data and material and code availability
The datasets generated and/or analyzed during the current study are available in the Food and Drug Administration Adverse Events Reporting System (FAERS) repository, [https://fis.fda.gov/sense/app/d10be6bb-494e-4cd2-82e4-0135608ddc13/sheet/7a47a261-d58b-4203-a8aa-6d3021737452/state/analysis].
Author contributions
Conceptualization: Emanuel Raschi, Francesco Gelsomino. Data curation: Monia Sisi, Michele Fusaroli, Andrea De Giglio, Emanuel Raschi, Francesco Gelsomino. Investigation: Monia Sisi, Michele Fusaroli, Andrea De Giglio, Emanuel Raschi, Francesco Gelsomino. Visualization: Monia Sisi, Michele Fusaroli, Andrea De Giglio, Francesco Facchinetti, Andrea Ardizzoni, Emanuel Raschi, Francesco Gelsomino. Writing-original draft preparation: Monia Sisi. Writing-reviewing and editing: Michele Fusaroli, Andrea De Giglio, Francesco Facchinetti, Andrea Ardizzoni, Emanuel Raschi, Francesco Gelsomino. Supervision: Andrea Ardizzoni, Emanuel Raschi, Francesco Gelsomino. Methodology: Michele Fusaroli, Emanuel Raschi. Software: Michele Fusaroli, Emanuel Raschi. All authors read and approved the final version of the paper.
Footnotes
Monia Sisi and Michele Fusaroli contributed equally.
Emanuel Raschi and Francesco Gelsomino contributed equally.
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