Prevalence of EGFR mutations in patients with resected stage I–III non-small cell lung cancer: results from EARLY-EGFR Latin America study
Highlight box
Key findings
• In the Latin America (LATAM) subset of the observational, real-world EARLY-EGFR study (NCT04742192) in patients with resected early-stage non-small cell lung cancer (NSCLC), the prevalence of EGFR mutations was 39.5%.
What is known and what is new?
• EGFR mutations are the most common oncogenic drivers in NSCLC, with prevalence varying across ethnicities in advanced-stage disease. In LATAM, EGFR mutation rates in advanced NSCLC range from 22% to 26%, but data in early-stage cases remain limited.
• With advances in precision medicine, this study highlights the need for upfront EGFR testing in patients with early-stage NSCLC in LATAM.
What is the implication, and what should change now?
• Our findings highlight the need for routine molecular profiling for EGFR mutations during initial diagnosis of early-stage NSCLC.
• Strengthening mutation testing and adopting multidisciplinary care models are essential to optimize systemic treatment in neoadjuvant and adjuvant settings across LATAM.
Introduction
Lung cancer, a recognized global health problem, has emerged as a significant concern in Latin America (LATAM) countries. In 2022, the LATAM and Caribbean region witnessed 1,551,060 new cases of lung cancer, accounting for 8.1% of all the reported cancer cases and was the leading cause of cancer-related deaths with 749,242 fatalities (1). Projections for the near future are equally concerning, as the number of new lung cancer cases and deaths is expected to nearly double for women and increase by 50% for men in the region by 2030 (2). Non-small cell lung cancer (NSCLC) is the most common type, accounting for nearly 85% of all lung malignancies (3). At the time of diagnosis, nearly 30% of patients with NSCLC are identified to have early-stage disease (stage I–III) (4).
Curative treatment of early-stage NSCLC involves a surgical resection aiming at the complete eradication of loco-regional tumor to mitigate the recurrence (5). Adjuvant chemotherapy is the recommended course of action for patients with a significant risk of recurrence (6,7). Unfortunately, the rates of recurrence are substantial (35–50%) following resection (8), which emphasizes the importance of implementing effective neo-adjuvant and adjuvant treatment strategies.
Mutations in the epidermal growth factor receptor (EGFR) are reported as the most prevalent oncogene driver mutations in NSCLC (9). The in-depth understanding of the role of EGFR mutations in the pathogenesis and recurrence of NSCLC has led to the emergence of EGFR-tyrosine kinase inhibitors (TKIs), which have revolutionized the treatment of NSCLC in advanced as well as early-stage (10,11). Based on the results of the ADAURA study, adjuvant osimertinib, a third-generation EGFR-TKI (12) has now been recommended in patients with early-stage NSCLC with actionable mutations of EGFR, including exon 19 deletions or exon 21 L858R mutations (13). Hence, understanding the molecular characteristics of NSCLC, particularly EGFR mutation status, is crucial for making informed treatment decisions and achieving the best possible clinical outcomes.
Variation in the prevalence of EGFR mutations across various ethnicities has been well documented in patients with advanced NSCLC (14). In LATAM, in patients with advanced-stage NSCLC, prevalence of EGFR mutations was reported to be between 22% to 26% (15-19). However, prevalence data in early-stage NSCLC in LATAM are scarce. One recent single-center study in Brazilian patients with early-stage NSCLC reported EGFR mutation rate to be 17.3% (20). Comprehensive understanding of EGFR mutations is crucial for effective management of early-stage NSCLC. To bridge this knowledge gap, EARLY-EGFR, a prospective real-world study, was undertaken to determine the prevalence of EGFR mutations, molecular testing patterns and treatment approaches utilized for managing early-stage NSCLC in 14 countries across Asia, Middle East and Africa and LATAM. In this manuscript, we present the prevalence of EGFR mutations in the LATAM subset. We present this article in accordance with the STROBE reporting checklist (21) (available at https://jtd.amegroups.com/article/view/10.21037/jtd-2025-904/rc).
Methods
Study design
EARLY-EGFR LATAM was a multicenter, non-interventional study conducted at 10 centres across 7 LATAM countries between March 2021 and October 2022. The study protocol (NCT04742192) was approved by the Independent Ethics Committee/Institutional Review Board of all participating centres in 7 countries across LATAM. Before data collection, a signed written informed consent was obtained from the patients during routine clinical care visit. The study was conducted in compliance with the International Council for Harmonization, Good Clinical Practices Guidelines and the relevant non-interventional and observational studies legislation. The study was conducted in accordance with the Declaration of Helsinki and its subsequent amendments. The study was approved by Comité Institucional de Bioética (CIB) Via Libre ethics committee (Clínica Delgado) [22 June 2021] (No. 6962-2021a). All participating centres were informed and agreed to the study.
Study population
The study enrolled consecutive patients (≥18 years old) with stage IA–IIIB [as per American Joint Committee on Cancer (AJCC) 8th edition] non-squamous NSCLC who underwent surgical resection of the tumor up to 12 weeks preceding their enrollment. Patients with formalin-fixed paraffin-embedded (FFPE) tissue specimens (either the primary diagnostic sample or the surgically resected tumor) suitable for EGFR mutation testing and accessible medical records for at least 12 months from the date of diagnosis were included. Patients with tumor histology not of primary origin in lung and those with pure squamous cell carcinoma, pure small cell carcinoma, or large cell carcinoma origin lacking immunohistochemistry evidence of adenocarcinoma differentiation, were excluded. All the FFPE samples were tested at a centralized laboratory or local laboratories.
The medical charts of eligible patients were reviewed, and the relevant data specified by the study protocol were documented in electronic case report forms before requesting the EGFR mutation testing. The results of the EGFR mutation test and other relevant tests were recorded once available. Patients’ follow-up continued until the EGFR mutation status was determined and any planned adjuvant therapy (AT) was documented. The study collected data on socio-demographics (i.e., age, gender, smoking status), clinical characteristics [i.e., Eastern Cooperative Oncology Group (ECOG) performance status, histology, stage as per AJCC 8th edition, presence of high-risk clinicopathological features], surgical management, EGFR mutation status and its different sub-types, treatment patterns, molecular testing patterns, frequency of programmed death ligand-1 (PD-L1) and other genetic test (wherever available) results.
Study outcomes
The primary outcome was the prevalence of EGFR mutations. Secondary outcomes included the proportion of patients with EGFR mutations by stage, histology, socio-demographic and clinic-pathological characteristics, EGFR mutation subtypes, molecular testing patterns, and treatment patterns.
Statistical analysis
No formal sample size was calculated for the study. Based on the precision estimates (ranging from 0 to 50%), a sample size of 600 patients was considered to be adequate for estimating the prevalence of EGFR mutations. LATAM cohort planned to enroll 80 patients, which was deemed to be adequate. The analysis was conducted using the Statistical Analysis System (SAS) (Version 9.4, SAS Institute). The data analysis involved descriptive statistics for clinico-demographic characteristics, EGFR mutation status, its subtypes, and treatment patterns. Categorical variables were expressed as frequencies and percentages, accompanied by exact 95% confidence intervals (CI) using the Clopper-Pearson method. For continuous variables, mean ± standard deviation (SD) or median (range) was used for representation. Fisher’s exact test with Monte Carlo and logistic regression was used for determining the association of categorical variables with EGFR mutation status. A P value of less than 0.05 was considered statistically significant.
Results
Demographic and clinical characteristics
A total of 80 patients were included in the LATAM subset of EARLY-EGFR study. The median (range) age of the patients was 67.0 (38.0–84.0) years, 67.5% (54/80) were females and 57.5% (46/80) were non-smokers (Table 1). Most patients had a pathologic stage IA [45.0% (36/80)] followed by stage IB [21.3% (17/80)] per AJCC 8th edition. All the patients had adenocarcinoma as the histological type, with right lung involvement in 61.3% (49/80) patients; more than half [51.2% (41/80)] patients had T1a/b/c primary tumor with no nodal involvement in 85.0% (68/80). Of available data, 95.5% (42/44) had an ECOG performance scale of ≤1. Most patients [59.7% (46/77)] had moderately differentiated (grade 2) tumors. Less than half of patients [47.2% (34/72)] were discussed at multidisciplinary team meetings.
Table 1
| Characteristics | Value (n=80) |
|---|---|
| Age (years) | 67.0 (38.0–84.0) |
| Age categories (years) | |
| <60 | 21 (26.3) |
| 60–80 | 53 (66.3) |
| >80 | 6 (7.5) |
| Female | 54 (67.5) |
| Smoking history | |
| Current smoker | 3 (3.8) |
| Ex-smoker | 31 (38.8) |
| Never-smoker | 46 (57.5) |
| Health insurance coverage, n=77 | |
| Private | 43 (55.8) |
| Employer provided | 5 (6.5) |
| Government | 24 (31.2) |
| Mixed | 2 (2.6) |
| No | 3 (3.9) |
| Pathologic stage | |
| Stage IA | 36 (45.0) |
| Stage IB | 17 (21.3) |
| Stage IIA | 7 (8.8) |
| Stage IIB | 9 (11.3) |
| Stage IIIA | 10 (12.5) |
| Stage IIIB | 1 (1.3) |
| T-stage | |
| T1a/b/c | 41 (51.2) |
| T2a/b | 28 (35.0) |
| T3 | 8 (10.0) |
| T4 | 3 (3.8) |
| Lymph node | |
| N0 | 68 (85.0) |
| N1 | 6 (7.5) |
| N2 | 6 (7.5) |
| Tumor site | |
| Right lung | 49 (61.3) |
| Left lung | 31 (38.8) |
| ECOG performance status at diagnosis, n=44 | |
| ≤1 | 42 (95.5) |
| 2 | 2 (4.5) |
| Grade, n=77 | |
| 1—low grade | 18 (23.4) |
| 2—moderately differentiated | 46 (59.7) |
| 3 and 4—poorly differentiated | 13 (16.9) |
| Multi-disciplinary team meeting, n=72 | |
| Before surgery | 16 (22.2) |
| After surgery | 9 (12.5) |
| Before and after surgery | 9 (12.5) |
| No involvement | 38 (52.8) |
Data are presented as number (%) or median (range). The percentage was calculated based on the total number of patients available within each level; Unknown and missing data are not included. If number of patients in any category was less than total number of patients enrolled (n=80), category n is provided. Countries included in LATAM cohort: Argentina (n=13), Mexico (n=10), Columbia (n=12), Chile (n=9), Costa Rica (n=4), Peru (n=25), Dominican Republic (n=7). ECOG, Eastern Cooperative Oncology Group; LATAM, Latin America; N, node; T, tumor.
EGFR mutation prevalence
The prevalence of EGFR mutations was found to be 39.5% (30/76) in the LATAM subset (Figure 1). Four patients failed EGFR mutation test. Almost 60% of patients had common mutations including—exon 19 deletions [overall: 33.3% (10/30); stage I: 31.6% (6/19); stage II: 42.9% (3/7); stage III: 25.0% (1/4)] and 21-L858R mutations [overall: 26.7% (8/30); stage I: 31.6% (6/19); stage II: 0; stage III: 50% (2/4)]. Uncommon mutations were identified in 33.3% (10/30) of the patients, comprising of G719X substitutions [6.7% (2/30)], INS20 [6.7% (2/30)] and other mutations [20.0% (6/30)]. In most cases [57.5% (46/80)], primary diagnostic samples were tested for EGFR mutations using real-time polymerase chain reaction (PCR)-based method [65.0% (52/80)] and next generation sequencing (NGS) panel [30.0% (24/80)] (Table S1). Most samples were tested at an external laboratory. Cobas®EGFR mutation test v2 testing kits by Roche were used in 31.3% (n=25) and IdyllaTMEGFR Mutation Assay by Biocartis in 13.8% (n=11).
Association between EGFR mutations and clinicopathological characteristics
A non-significantly higher percentage of patients with stage II NSCLC (47.6%) harboured EGFR mutations compared to stage I (38.0%) and stage III NSCLC (36.4%) (Table 2). The prevalence of EGFR mutations was similar between males (39.1%) and females (39.6%). Numerically higher rate of EGFR mutations was reported in patients aged >80 years compared to patients aged 60–80 years and <60 years (80.0% vs. 40.4% vs. 26.3%). Non‑smokers had a significantly higher prevalence of EGFR mutations compared to current or ex-smokers (51.2% vs. 24.2%; P=0.02).
Table 2
| Variables | Number | EGFR mutated (n) | EGFR wild type (n) | Mutation rate (%) | P value |
|---|---|---|---|---|---|
| Gender | – | ||||
| Female | 53 | 21 | 32 | 39.6 | |
| Male | 23 | 9 | 14 | 39.1 | |
| Age group | – | ||||
| <60 years | 19 | 5 | 14 | 26.3 | |
| 60–80 years | 52 | 21 | 31 | 40.4 | |
| >80 years | 5 | 4 | 1 | 80.0 | |
| Smoking history | 0.02 | ||||
| Current/ex-smoker | 33 | 8 | 25 | 24.2 | |
| Non-smoker | 43 | 22 | 21 | 51.2 | |
| Pathologic stage | 0.81† | ||||
| Stage I | 50 | 19 | 31 | 38.0 | |
| Stage II | 15 | 7 | 8 | 46.7 | |
| Stage III | 11 | 4 | 7 | 36.4 | |
| Primary tumor | – | ||||
| T1 | 38 | 14 | 24 | 36.8 | |
| T2 | 27 | 12 | 15 | 44.4 | |
| T3 | 8 | 3 | 5 | 37.5 | |
| T4 | 3 | 1 | 2 | 33.3 | |
| Lymph node metastasis | 0.21‡ | ||||
| N0 | 65 | 24 | 41 | 36.9 | |
| N1 | 5 | 4 | 1 | 80.0 | |
| N2 | 6 | 2 | 4 | 33.3 |
†, P value for comparison of mutation rate by clinical stage (I, II and III). No significant difference was found between stage I and stage II, stage I and stage III, and stage II and stage III (P=0.55, >0.99 and 0.70, respectively). ‡, P value for comparison of mutation rate by lymph node status (N0, N1 and N2). N, node; T, tumor.
In logistic regression analysis, age >60 years was significantly associated with higher odds of EGFR mutations compared to age <60 years [adjusted odds ratio (OR): 1.11, 95% CI: 1.04–1.19; P=0.004]. Smoking history was significantly associated with lower odds of EGFR mutations compared to current or ex-smokers (adjusted OR: 0.15, 95% CI: 0.04–0.56; P=0.005) (Table 3).
Table 3
| Characteristics | Unadjusted OR† (95% CI) | P value | Adjusted OR† (95% CI) | P value |
|---|---|---|---|---|
| Age (years) (≥60 vs. <60) | 1.09 (1.03–1.16) | 0.004 | 1.11 (1.04–1.19) | 0.004 |
| Gender (female vs. male) | 1.02 (0.38–2.78) | 0.97 | 0.88 (0.26–2.97) | 0.83 |
| Stage II vs. I | 1.43 (0.45–4.57) | 0.55 | 0.88 (0.2–3.79) | 0.86 |
| Stage III vs. I | 0.93 (0.24–3.61) | 0.92 | 1.31 (0.25–6.90) | 0.75 |
| Smoking history (yes vs. no) | 0.31 (0.11–0.83) | 0.02 | 0.15 (0.04–0.56) | 0.005 |
| Family history of lung cancer (yes vs. no) | 0.71 (0.06–8.27) | 0.79 | 0.64 (0.04–9.30) | 0.75 |
†, logistic regression was used to assess the association between variables and EGFR mutations. CI, confidence interval; OR, odds ratio.
PD-L1 and other mutations
Ventana SP263 antibody was most frequently used for PD-L1 testing [90.9% (20/22)]. Among 27.5% (22/80) patients who underwent PD-L1 testing, PD-L1 expression ≥1% was reported in 36.4% (8/22) (Table 4). EGFR-mutated tumors were found to be PD-L1 positive in 36.4% (4/11) patients, all of whom reported exon 19 deletions.
Table 4
| Variables | Patients (n=22) | PD-L1 <1% (n=14) | PD-L1 ≥1% (n=7) | PD-L1 ≥50% (n=1) |
|---|---|---|---|---|
| Mutation status | ||||
| EGFRm negative | 11 (50.0) | 7 (50.0) | 3 (42.9) | 1 (100.0) |
| EGFRm positive | 11 (50.0) | 7 (50.0) | 4 (57.1) | 0 |
| Mutation subtype status† | ||||
| 19-DEL | 4 (36.4) | 0 | 4 (100.0) | 0 |
| 21-L858R | 4 (36.4) | 4 (36.4) | 0 | 0 |
| Others | 4 (36.4) | 4 (36.4) | 0 | 0 |
Data are presented as number (%). †, a patient may have multiple mutation subtypes. PD-L1, programmed death ligand-1.
Testing for other genetic mutations was performed in 28.8% (23/80) patients, majority were tested for ALK (n=23) of which 2 patients had ALK mutations (Table S2).
Treatment patterns
For the majority [overall: 76.3% (61/80); stage I: 92.5% (49/53); stage II: 56.3% (9/16); stage III: 27.3% (3/11)] of patients, no systemic therapy was planned; they underwent curative surgery alone (Figure 2). Lobectomy was the most preferred surgery type in 67.5% (54/80) of patients. Complete resection (R0) was achieved in 95.0% (76/80) of the patients. Systemic AT was planned in 21.3% (17/80) of patients, and 2 of 80 received neoadjuvant systemic therapy. Among those receiving adjuvant systemic therapy, 88.2% (15/17) received adjuvant chemotherapy (4 received cisplatin-based chemotherapy, 9 received carboplatin-based chemotherapy and 2 received other chemotherapeutic regimens), while 3 of 17 received EGFR-TKIs (2 received osimertinib and 1 received gefitinib). Per stage-wise distribution, 1 of 36 patients with stage IA, 3 of 17 patients with stage IB, 7 of 9 patients with stage IIB and 7 of 10 patients with stage IIIA were planned to receive systemic therapy. One patient with stage IIIB was also prescribed adjuvant systemic therapy. No patients with stage IIA were prescribed systemic therapy at the time of data collection.
Discussion
In LATAM, lung cancer is the third leading cause of cancer deaths. For optimum clinical care of patients with NSCLC, real-world data are becoming increasingly important to decide treatment strategy. This prospective real-world study evaluated the prevalence of EGFR mutations, molecular testing patterns and treatment modalities planned for the management of early-stage NSCLC in LATAM countries of EARLY-EGFR study. The LATAM subset reported a lower prevalence of 39.5% then reported in the overall global (51.0%), Asia (53.0%) and Middle East and Africa (43.8%) cohorts. The reported prevalence is comparatively higher than earlier studies from LATAM countries (22–26%) (15-19). The Brazilian retrospective study in patients with early-stage (IB–IIIA) NSCLC reported a prevalence of 17.3% (20). In another study on 70 patients with early-stage NSCLC from Brazil, the frequency of EGFR mutations was found to be approximately 33% (22). In a retrospective analysis In another retrospective analysis on 513 biopsy samples of patients with NSCLC, EGFR mutations were reported in 22.5% cases (18). In our study, almost 58% of the patients had no smoking history. EGFR mutations have been frequently reported in non-smokers, possibly contributing to higher EGFR mutation rate reported in our study (23,24).
The consensus among most studies is that exon-19 deletions and exon 21 L858R mutations account for majority of EGFR mutations and serve as the most reliable predictors for EGFR-TKIs response (6,25-27). In concordance with the available literature, in our study, exon‑19 deletions and L858R accounted for 60% of the mutations while another 6.7% reported compound mutations with exon-19 deletions and L858R. The remaining 33.3% reported uncommon mutations. The clinical implications of the less common mutations and their response to EGFR-TKIs have not been well understood, but emerging evidence suggests that some patients with these uncommon EGFR mutations may benefit from TKIs or immunotherapies (28).
Real-time PCR was the preferred method, followed by NGS (65.0% and 30.0%). Though NGS panel is recommended mode for mutation testing (6), in line with the global cohort, real-time PCR was preferred in our subset as well. A study in LATAM has also reported using PCR or NGS-based testing mutation analysis; the preference for real-time PCR-based testing may be related to accessibility and cost-effectiveness of the technique (29). Though several clinical guidelines recommend molecular testing for other driver gene mutations, including EGFR, ALK, ROS1, and BRAF in patients with non-squamous NSCLC (6), testing for other mutations was performed in only 23 patients. Most patients (28.8%, 23/80) underwent only ALK testing, of which 2 tested positive. In our study, limited patients underwent MET and KRAS mutation analysis, and no patients reported these mutations. The PD-L1 expression in our study was similar to Brazilian cohort (20).
We found a significantly higher risk of EGFR mutations in patients >60 years of age compared to those aged <60 years and non-smokers compared those with history of smoking, which is in concordance with established data in the literature (19,30-32).
According to the NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®) for NSCLC, patients with early-stage NSCLC (IB–IIIA) are recommended to receive neo-adjuvant/adjuvant systemic therapy (6). In the LATAM cohort, a significant majority of patients (76.3%) underwent surgery alone. When categorized as per stage, of 44 patients with stage IB–IIIB NSCLC, (neo)AT was planned in 40.9% (n=18) patients. Notably, in 20 patients with stage IIB–IIIB NSCLC, 15 (75.0%) patients were prescribed systemic therapy. These findings highlight an unmet need for better systemic therapy utilization in patients with stage IB–IIB NSCLC. The ADAURA study has established the clinical benefit of osimertinib in patients with early-stage NSCLC (27). In the final overall survival analysis, osimertinib showed significantly improved overall survival (OS) compared to placebo (hazard ratio: 0.49; 95% CI: 0.34–0.70; P<0.001) (33). However, at the time of data collection for our study, osimertinib was not approved in early-stage NSCLC in majority of the LATAM countries; osimertinib therapy was planned in only 2 patients. More than 50% of the patients were not managed through multidisciplinary team approach, emphasizing the need to involve multidisciplinary care for clinical decision-making about (neo)adjuvant therapies after surgical resection, and predicting the treatment response. The paradigm shift from generalized chemotherapy to personalized therapy has made EGFR mutation testing indispensable for managing NSCLC. This information would also be valuable for guiding policymakers in identifying the patients who would benefit maximum from the novel therapies.
The limitations of our study include the inherent limitations associated with real-world studies. Considering the cross-sectional design and short follow-up duration, complete adjuvant treatment data may not have been captured for all patients, thus resulting in incomplete data. Also, as immunotherapy and targeted therapies were not approved in majority of countries in LATAM for early-stage NSCLC, the use of these agents in our study is limited. Also, LATAM is a region with multiple ethnicities and races; small sample size enrolled in our study may not be a true interpretation of the entire region. Thus, studies with larger sample size are required to further validate our findings.
Conclusions
EARLY-EGFR is the first prospective real-world study to report the prevalence of EGFR mutations (approximately 40%) in patients with early-stage NSCLC in LATAM. Our findings emphasize the importance of molecular profiling to identify EGFR mutations as part of initial diagnostic work-up in all patients with early-stage NSCLC. Implementing strategies to increase mutation testing and adoption of multi-disciplinary team structure for optimal systemic treatment in the neo-adjuvant and adjuvant settings are crucial for an effective and patient-centric approach to manage early-stage NSCLC in LATAM.
Acknowledgments
The authors would like to acknowledge Prajakta Nachane (M.Pharm) from Fortrea Scientific Pvt. Ltd. for medical writing support in accordance with GPP2022 guidelines (http://www.ismpp.org/gpp3).
The abstract of this article has been presented in ESMO 2023 (https://www.annalsofoncology.org/article/S0923-7534(23)01593-4/fulltext). Reprint from 1279P Prevalence of EGFR mutations (EGFRm) in patients (pts) with resected stage I–III NSCLC: Results from EARLY-EGFR LATAM Amorin, E. et al. Annals of Oncology, Volume 34, S739, with permission from Elsevier.
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://jtd.amegroups.com/article/view/10.21037/jtd-2025-904/rc
Data Sharing Statement: Available at https://jtd.amegroups.com/article/view/10.21037/jtd-2025-904/dss
Peer Review File: Available at https://jtd.amegroups.com/article/view/10.21037/jtd-2025-904/prf
Funding: The study was funded by
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jtd.amegroups.com/article/view/10.21037/jtd-2025-904/coif). E.A.K. is an investigator at AstraZeneca; and reports speaker honorarium from AstraZeneca, Merck Sharp and Dohme, and Bristol-Myers Squibb. A.P.G. reports provision of study materials by AstraZeneca (to institution). L.F.T.G., N.D., and R.H. are employees at AstraZeneca. L.C. received grants from MSD and Roche and consulting fee, speaker honoraria and travel grants from MSD, AZ, Pfizer and Janssen. The other authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki and its subsequent amendments. The study was approved by Comité Institucional de Bioética (CIB) Via Libre ethics committee (Clínica Delgado) [22 June 2021] (No. 6962-2021a). All participating centres were informed and agreed to the study. A signed written informed consent was obtained from the patients during routine clinical care visit.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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