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Disponible online el 12 de junio de 2026

Real world outcomes of first-line pembrolizumab in metastatic non-small-cell lung cancer

Resultados en salud de pembrolizumab en primera línea en cáncer de pulmón no microcítico metastásico
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Amparo Burgosa,
Autor para correspondencia
burgos_amp@gva.es

Corresponding author.
, Teresa Callejab, María Sacramento Díazc, Garbiñe Lizeagad, Cristina Ibáñeze, Carmen María Valenciaf, Mónica Carbajalesg, David Condeh, Juan Francisco Maríni, Margarita Garridoj, Raúl Díezk, María José Martínezl, María Larrosam, Estela Morenon
a Servicio de Farmacia, Hospital General Dr. Balmis, Alicante, Spain
b Servicio de Farmacia, Complejo Hospitalario Universitario de La Coruña, La Coruña, Spain
c Servicio de Farmacia, Hospital Virgen de la Arrixaca, Murcia, Spain
d Servicio de Farmacia, Hospital Universitario de San Sebastián, San Sebastián, Spain
e Servicio de Farmacia, Institut Català d’Oncologia (ICO), Barcelona, Spain
f Servicio de Farmacia, Hospital Universitario Marqués de Valdecilla, Santander, Spain
g Servicio de Farmacia, Hospital Universitario Central de Asturias, Oviedo, Spain
h Servicio de Farmacia, Hospital del Mar, Barcelona, Spain
i Servicio de Farmacia, Hospital Universitario de Jaén, Jaén, Spain
j Servicio de Farmacia, Hospital Virgen de la Victoria, Málaga, Spain
k Servicio de Farmacia, Hospital Universitario de Getafe, Getafe, Spain
l Servicio de Farmacia, Hospital Puerta de Mar, Cádiz, Spain
m Servicio de Farmacia, Hospital Universitario Valle de Hebrón, Barcelona, Spain
n Servicio de Farmacia, Hospital de San Pablo, Barcelona, Spain
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Amparo Burgos, Teresa Calleja, María Sacramento Díaz, Garbiñe Lizeaga, Cristina Ibáñez, Carmen María Valencia, Mónica Carbajales, David Conde, Juan Francisco Marín, Margarita Garrido, Raúl Díez, María José Martínez, María Larrosa, Estela Moreno
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Table 1. Baseline demographic, clinical, and treatment characteristics.
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Table 2. Progression-free survival by demographic, clinical, and treatment variables.
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Table 3. Overall survival by demographic, clinical, and treatment variables.
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Table 4. Incidence of adverse effects (% of patients, n = 1005).
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Abstract
Objective

To describe the effectiveness and safety of pembrolizumab in routine clinical practice as first-line treatment for advanced/metastatic non-small cell lung cancer (NSCLC) with PD-L1 expression ≥50% and without EGFR or ALK alterations.

Methods

Retrospective, multicenter observational study including patients diagnosed with advanced/metastatic NSCLC treated with pembrolizumab monotherapy as first-line therapy between January 2016 and July 2020. Clinical, treatment-related, and safety variables were collected. The primary effectiveness endpoints were overall survival (OS) and progression-free survival (PFS), estimated using the Kaplan–Meier method.

Results

A total of 1005 patients from 42 Spanish hospitals were included, with a median age of 67 years (interquartile range [IQR]: 14); 256 were women. The predominant histology was non-squamous (725 patients). Median follow-up was 17.9 months (IQR: 24.1), and the median number of treatment cycles received was 8 (IQR: 21). Median PFS and OS were 8.7 months (95% confidence interval [CI]: 7.2–10.1) and 18.0 months (95% CI: 16.2–21.3), respectively. In the bivariate analysis, factors significantly associated with shorter OS included: age ≥ 75 years, body mass index (BMI) <25 kg/m2, never smoking, performance status (PS-ECOG) ≥2, squamous histology, baseline liver or brain metastases, ≥2 metastatic sites at diagnosis, Lung Immune Prognostic Index (LIPI) 1–2, and prior exposure to proton pump inhibitors (PPIs), corticosteroids, and antibiotics (within the previous 10 days). Overall, 61.7% of patients experienced some degree of toxicity (G1–5), and 15.3% had G ≥ 3 toxicities. Treatment discontinuation due to toxicity occurred in 115 patients (12.7%). Patients who developed toxicity had a median OS of 28.3 months (95% CI: 23.9–34.5), compared to 6.5 months (95% CI: 5.1–9.2) in those without toxicity (p < 0.0001).

Conclusions

In advanced/metastatic NSCLC with PD-L1 ≥ 50% and no EGFR/ALK alterations, first-line pembrolizumab demonstrates outcomes consistent with the pivotal trial and with published real-world evidence. The findings confirm that PS-ECOG ≥2 and prior PPI exposure are predictors of shorter OS, and that the development of toxicity during treatment is significantly associated with longer survival.

Keywords:
Non-small-cell lung cancer
Pembrolizumab
Immune checkpoint inhibitors
Neoplasm metastasis
Immunotherapy
Resumen
Objetivo

describir la efectividad y seguridad de pembrolizumab en la práctica clínica habitual como tratamiento de primera línea en cáncer de pulmón no microcítico (CPNM) avanzado/metastásico con expresión de PD-L1 ≥ 50% y sin alteraciones en EGFR o ALK.

Métodos

estudio observacional retrospectivo multicéntrico realizado en pacientes diagnosticados de CPNM avanzado/metastásico, tratados con pembrolizumab en monoterapia como primera línea entre enero de 2016 y julio de 2020. Se recopilaron variables clínicas, relacionadas con el tratamiento y la seguridad. Las variables principales de efectividad fueron la supervivencia global (SG) y la supervivencia libre de progresión (SLP), estimadas mediante Kaplan–Meier.

Resultados

se incluyeron 1.005 pacientes de 42 hospitales españoles, con una mediana de edad de 67 años (RIQ: 14), de los cuales 256 eran mujeres. La histología predominante fue la no escamosa (725 pacientes). La mediana de seguimiento alcanzó 17,9 meses (RIQ: 24,1) y la mediana de ciclos recibidos fue de 8 (RIQ: 21). Las medianas de SLP y SG fueron 8,7 meses (IC 95%: 7,2–10,1) y 18,0 meses (IC 95%: 16,2–21,3), respectivamente. En el análisis bivariante, los factores asociados significativamente con menor SG fueron: edad ≥75 años, índice de masa corporal (IMC) <25 kg/m2, no haber fumado, estado funcional (PS-ECOG) ≥2, histología escamosa, metástasis hepáticas o cerebrales, ≥2 localizaciones metastásicas al diagnóstico, Lung Immune Prognostic Index (LIPI) 1–2, y exposición a inhibidores de la bomba de protones (IBP), corticoides y antibióticos (10 días previos). El 61,7% presentó algún grado de toxicidad (G1–5) y el 15,3% toxicidades G ≥ 3. Un total de 115 pacientes (12,7%) suspendieron el tratamiento por toxicidad. Aquellos que desarrollaron toxicidad mostraron una mediana de SG de 28,3 meses (IC 95%: 23,9–34,5), frente a 6,5 meses (IC 95%: 5,1–9,2) en los que no presentaron toxicidad (p < 0,0001).

Conclusiones

en pacientes con CPNM avanzado/metastásico y PD-L1 ≥ 50% sin alteraciones en EGFR/ALK, pembrolizumab en primera línea muestra resultados alineados con el ensayo pivotal y con estudios de vida real. Los hallazgos confirman que PS-ECOG2 y el uso previo de IBP son factores predictivos de menor SG, y que el desarrollo de toxicidad se asocia de forma significativa con mayor supervivencia.

Palabras clave:
Cáncer de pulmón no microcítico
Pembrolizumab
Inhibidores del punto de control inmunitario
Cáncer avanzado/metastásico
Inmunoterapia
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Introduction

Lung cancer ranks first among newly diagnosed cancers and remains the leading cause of cancer-related death worldwide.1 In Spain, it is the third most common cancer after colorectal and breast cancer and remains the leading cause of cancer-related death.2

Histological characterisation of the tumour is essential because it determines prognosis and guides treatment. Approximately 85% of new lung cancer diagnoses are non-small cell lung cancer (NSCLC), and most patients (70%) present with advanced or metastatic disease at diagnosis.

The aim of treatment for metastatic lung cancer is to prolong survival, improve quality of life, and control disease-related symptoms.

Before the advent of immunotherapy, platinum-based combination therapy using either cisplatin or carboplatin was the standard first-line treatment for patients with advanced or metastatic NSCLC, unless specific molecular characteristics, such as EGFR, ALK, or ROS alterations, made them candidates for targeted therapies.

The arrival of immunotherapy in oncology has brought about a paradigm shift in the treatment of certain cancers by changing the focus from directly targeting tumours to strengthening patients' immune systems.

The incorporation of immunotherapy with immune checkpoint inhibitors (ICIs) into first-line treatment for patients with NSCLC has improved survival rates in both squamous and non-squamous histologies.

First-line treatment options with ICIs for advanced or metastatic NSCLC are guided by the tumour proportion score (TPS) for PD-L1. The KEYNOTE-024 clinical trial3,4 established pembrolizumab as the standard first-line treatment for NSCLC in patients whose tumours expressed PD-L1 with a TPS ≥50% and with no EGFR or ALK alterations. After a median follow-up of 5 years, median overall survival was 12.9 months longer with pembrolizumab than with chemotherapy (hazard ratio [HR] = 0.6; 95% CI: 0.5–0.9; p = 0.002). The clinical practice guidelines from ESMO,5 ASCO,6 NCCN,7 and SEOM8 reflect this recommendation.

Furthermore, the use of ICIs has been associated with an adverse-effect profile related to their mechanism of action, which differs substantially from that of conventional anticancer therapies and may lead to so-called immune-related adverse events (irAEs).9 The KEYNOTE-024 clinical trial reported an incidence of immune-mediated adverse effects associated with pembrolizumab of 29.2%. Although most of these adverse effects are mild, they can be severe in some cases, requiring rapid recognition and management, particularly in the context of advanced disease. Various studies have shown that the development of irAEs in patients treated with ICIs may correlate with clinical response. However, further investigation is warranted given the inconsistency in study findings regarding the association between the occurrence of irAEs and response rates, progression-free survival (PFS), and OS in NSCLC treated with ICIs.10–14

The conditions under which drugs are used in routine clinical practice are often far less restrictive than those in the clinical trials that supported their approval. This means that efficacy and safety outcomes may differ from those observed in the clinical trials. In fact, many of the situations that met the exclusion criteria in the clinical trial are relatively common in clinical practice and partly account for the observed differences in efficacy and safety outcomes. Real-world studies are therefore crucial to complement evidence from clinical trials and to provide a more comprehensive understanding of treatment performance in more diverse patient populations and in real-world clinical settings.

For these reasons, the present study aimed to evaluate the efficacy and safety of pembrolizumab monotherapy as first-line treatment for patients with advanced or metastatic NSCLC in routine clinical practice in Spain.

MethodsDesign

A retrospective, multicentre, observational study was conducted across 42 Spanish hospitals to evaluate the efficacy and safety of pembrolizumab as first-line treatment for patients with advanced or metastatic NSCLC (stages IIIB, IIIC, IV) with PD-L1 expression ≥50% and no EGFR and ALK molecular alterations. Exclusion criterion: patients who received pembrolizumab as first-line therapy within a clinical trial or an expanded access programme. The inclusion period was from January 2016 to July 2020. Thus, the study cut-off date of 31 December 2021 allowed for a minimum follow-up of 17 months after initiation of pembrolizumab for all patients included in the study.

The following data were obtained from medical records: demographic characteristics, smoking status, Eastern Cooperative Oncology Group Performance Status (ECOG PS), tumour histology, stage, baseline brain and liver metastases, number of metastatic sites, PD-L1 expression, lactate dehydrogenase, absolute neutrophil and white blood cell counts for calculation of the Lung Immune Prognostic Index (LIPI), pembrolizumab dosage (mg/kg vs fixed dose), concomitant radiotherapy, and exposure to corticosteroids, antibiotics, or proton pump inhibitors (PPIs) in the 10 days prior to the start of pembrolizumab.

Each centre conducted PD-L1 expression quantification and molecular alteration assessment. PD-L1 expression was assessed using one of the commercially available techniques: SP263, SP142, IHC22C3, or IHC28–8. Tumour response to treatment was assessed by the treating teams at each centre in accordance with iRECIST criteria.15

Information was also collected on the primary study variables: deaths, disease progression, and adverse events during treatment, with severity graded according to the Common Terminology Criteria for Adverse Events, version 5.0.16 Furthermore, treatment-related hospital admissions and the need for additional treatment due to toxicity were recorded as part of the planned analysis.

Statistical analysis

Given the descriptive nature of the study, we did not perform a theoretical calculation to determine the required size of the patient sample. Baseline parameters were summarised using standard descriptive statistical techniques.

To address the study's efficacy objective, we analysed PFS, defined as the time between the start of pembrolizumab and the date of documented disease progression or all-cause mortality, whichever occurred first, and OS, defined as the time from the start of pembrolizumab to all-cause mortality.

The Kaplan–Meier estimator was used to calculate the probability of both PFS and OS over the study period. The log-rank test was used to compare survival curves between patient subgroups defined by other variables of interest in the study. A multivariate analysis was performed using a Cox regression model.

Safety was assessed by determining the incidence of toxicities, both overall and by type of toxicity, and by analysing toxicity severity. The relationship between toxicities and OS and PFS was assessed by comparing Kaplan–Meier curves using the log-rank test.

All statistical analyses were performed using R software v4.3.1. A P-value of <0.05 was used as a cutoff for statistical significance.17

ResultsCohort

The study included 1005 patients, of whom 25.5% (n = 256) were women. The median age was 67 years (interquartile range [IQR]: 14), and the median BMI was 25.1 kg/m2 (IQR: 5.6). Table 1 presents the demographic and clinical characteristics of the study population.

Table 1.

Baseline demographic, clinical, and treatment characteristics.

Characteristics  No. of patients (%)n = 1005 
Age (median, IQR)  67 (14) 
75 y  212 (21.1) 
Sex
Male  749 (74.5) 
Female  256 (25.5) 
BMI (median, IQR)  25.1 (5.6) 
30 kg/m2  156 (15.5) 
Smoking status
Non-smoker  78 (7.7) 
Current smoker  357 (35.5) 
Former smoker  567 (56.5) 
Not documented  3 (0.3) 
ECOG PS
284 (28.3) 
605 (60.2) 
103 (10.2) 
7 (0.7) 
Not documented  6 (0.6) 
Histology
Non-squamous  725 (72.1) 
Squamous  193 (19.2) 
NOS  74 (7.4) 
Mixed  13 (1.3) 
Stage
IIIB  23 (2.3) 
IIIC  25 (2.5) 
IV  957 (95.2) 
Brain and liver metastases
Yes  305 (30.3) 
No  700 (69.7) 
No. of metastatic sites
0–1  510 (50.7) 
495 (49.3) 
PD-L1
50–89%  679 (67.6) 
90–100%  326 (32.4) 
LIPI
418 (41.6) 
323 (32.1) 
94 (9.3) 
Not documented  170 (16.9) 
Pembrolizumab dosage
200 mg/21 d  807 (80.3) 
2 mg/kg/21 d  120 (11.9) 
400 mg/42 d  28 (2.8) 
4 mg/kg/42 d  4 (0.4) 
Dose/kg and fixed dose  46 (4.6) 
Concomitant radiotherapy
Yes  320 (31.8) 
No  676 (67.3) 
Not documented  9 (0.9) 
Use of PPIs in the 10 days prior to start
Yes  409 (40.7) 
No  503 (50) 
Not documented  93 (9.3) 
Use of corticosteroids in the 10 days prior to start
Yes  183 (18.2) 
No  734 (73) 
Not documented  88 (8.8) 
Use of antibiotics in the 10 days prior to start
Yes  77 (7.7) 
No  829 (82.5) 
Not documented  99 (9.9) 

PPI, proton pump inhibitor; BMI, body mass index; LIPI, Lung Immune Prognostic Index; ECOG PS, ECOG performance status; NOS, not otherwise specified.

Efficacy

At the end of the observation period (31 December 2021), the median follow-up time was 17.9 months (IQR: 24.1) and the patients had received a median of 8 pembrolizumab cycles (IQR: 21). At that time, 99 patients (9.9%) remained on treatment. Pembrolizumab had been discontinued in the other patients for the following reasons: disease progression (46.1%), clinical deterioration (13.9%), toxicity (12.7%), completion of the planned 2-year treatment (10.2%), death (9.5%), other reasons (4.9%), patient choice (1%), undocumented (1%), and hyperprogression (0.7%).

The median PFS and OS were 8.7 months (95% CI: 7.2–10.1) and 18.0 (95% CI: 16.2–21.3) months, respectively (Fig. 1).

Figure 1.

(A) PFS curve in patients with NSCLC and PD-L1 ≥50% treated with pembrolizumab as first-line therapy; (B) OS curve in patients with NSCLC and PD-L1 ≥50% treated with pembrolizumab as first-line therapy.

In the subgroup analysis of PFS, several factors were associated with significantly lower PFS (Table 2), including BMI <25 kg/m2, never smoking, ECOG PS ≥2, squamous histology, baseline liver and/or brain metastases, ≥2 metastatic sites at diagnosis, LIPI 1–2, and exposure to PPIs and corticosteroids in the 10 days prior to the start of pembrolizumab treatment.

Table 2.

Progression-free survival by demographic, clinical, and treatment variables.

Variable  No. of patients  No. of events  Median PFS (95% CI)  p (Log-Rank) 
Total  1005  744  8.7 (7.2–10.1)  – 
Age0.27
75 y  212  167  8.7 (6.2–10.9) 
<75 y  793  577  8.6 (7.2–10.4) 
Sex0.71
Male  749  553  8.3 (6.8–10.5) 
Female  256  191  9 (6.7–10.7) 
BMI (kg/m2)<0.05
<25  490  375  6.6 (5.3–8.8) 
25  503  360  10.7 (8.7–12.5) 
Smoking status<0.01
Non-smoker  78  67  4.6 (3.7–9.7) 
Ex-smoker/smoker  924  674  9 (7.6–10.6) 
ECOG PS<0.001
0–1  889  643  10 (8.5–11.3) 
110  95  2.2 (1.8–3.7) 
Histology<0.05
Squamous  193  157  6.7 (5.0–10.0) 
Non-squamous  799  578  9.3 (7.7–10.7) 
Metastatic sites<0.01
0–1  510  364  10.4 (8.8–12.8) 
495  376  6.5 (5.3–8.7) 
Baseline brain and/or liver metastases<0.05
Yes  305  230  5.9 (4.4–8.2) 
No  700  514  9.9 (7.9–12) 
LIPI<0.001
418  287  13.4 (11.4–16.7) 
1–2  417  332  4.4 (3.9–5.8) 
Use of PPIs in the 10 days prior to start<0.01
Yes  409  316  6.2 (4.5–8.5) 
No  503  351  10.8 (9.1–13.4) 
Use of corticosteroids in the 10 days prior to start<0.001
Yes  183  144  3.7 (2.8–5.8) 
No  734  524  10.4 (9–12.5) 
Use of antibiotics in the 10 days prior to start0.13
Yes  77  57  4.7 (3.0–7.9) 
No  829  602  9.6 (7.8–11.1) 
PD-L10.80
50–89%  679  504  9 (7.4–10.5) 
90–100%  326  240  7.6 (5.8–11.3) 
Pembrolizumab dose0.25
mg/kg  124  92  11.4 (6.7–16.2) 
Fixed dose  835  636  7.5 (6.3–8.8) 
Concomitant radiotherapy0.98
Yes  320  240  9.2 (6.7–11.3) 
No  676  497  8.3 (6.9–10.2) 

PPI, proton pump inhibitor; BMI, body mass index; LIPI, Lung Immune Prognostic Index; ECOG PS, ECOG performance status; PFS, progression-free survival.

In contrast, PFS did not significantly differ according to sex, concomitant radiotherapy, pembrolizumab dose (fixed versus mg/kg), age group (≥75 vs <75 years), PD-L1 expression (50–89% vs 90–100%), and prior exposure to antibiotics (Table 2).

Several variables were associated with significantly lower OS (Table 3), including those identified for PFS, with the addition of age ≥75 years and prior antibiotic exposure. No association was observed between OS and sex, concomitant radiotherapy, pembrolizumab dose, or PD-L1 expression .

Table 3.

Overall survival by demographic, clinical, and treatment variables.

Variable  No. of patients  No. of events  Median OS (95% CI)  p (Log-Rank) 
Total  1005  619  18 (16.2–21.3)  – 
Age<0.05
75 y  212  144  13.6 (10.8–21) 
<75 y  793  475  19.8 (16.8–23.4) 
Sex0.4
Male  749  467  17.2 (15.8–21.1) 
Female  256  152  20.6 (16.2–26.6) 
BMI (kg/m2)<0.05
<25  490  314  14.2 (11.5–19.8) 
25  503  298  22.3 (18–26.3) 
Smoking status<0.05
Non-smoker  78  56  12 (7.8–24.1) 
Ex-smoker/smoker  924  561  18.7 (16.5–22.4) 
ECOG<0.001
0–1  889  520  21.6 (18.1–25.4) 
110  94  3.7 (2.2–5) 
Histology<0.05
Squamous  193  130  15.2 (10.7–18.6) 
Non-squamous  799  481  20 (16.8–23.9) 
Metastatic sites<0.01
0–1  510  297  21 (17–27.1) 
495  319  16.4 (12.6–20) 
Baseline brain and /or liver metastases<0.01
Yes  305  202  13.9 (10–17.8) 
No  700  417  21.2 (17.1–26) 
LIPI<0.001
418  219  27.5 (24–35.4) 
1–2  417  295  9.8 (7.8–11.3) 
Use of PPIs in the 10 days prior to start<0.001
Yes  409  274  13.3 (10.8–17.9) 
No  503  283  23.6 (19.9–29.5) 
Use of corticosteroids in the 10 days prior to start<0.001
Yes  183  135  7.8 (5.8–11.9) 
No  734  420  23.4 (18.5–26.7) 
Use of antibiotics in the 10 days prior to start<0.05
Yes  77  52  10.2 (6.2–21.8) 
No  829  496  20.5 (16.9–24.1) 
PD-L10.47
50–89%  679  414  18.5 (16.2–22.3) 
90–100%  326  205  16.9 (12.9–23.5) 
Pembrolizumab dose0.29
mg/kg  124  76  21.3 (16.5–34.5) 
Fixed dose  835  535  16.2 (13.5–19) 
Concomitant radiotherapy0.85
Yes  320  204  18.1 (15.8–24) 
No  676  409  17.9 (15.9–22.4) 

PPI, proton pump inhibitor; BMI, body mass index; LIPI, Lung Immune Prognostic Index; ECOG PS, ECOG performance status; OS, overall survival.

Multivariate analysis identified only ECOG PS (HR = 2.7; 95% CI: 2.0–3.5) and prior exposure to PPIs (HR = 1.3; 95% CI: 1.1–1.6) as predictive factors for poorer OS.

Safety

Of the 1005 patients, 61.7% (n = 620) experienced some degree of toxicity. Overall, 30.6% of patients experienced 2 or more adverse effects, and 154 (15.3%) of patients experienced grade 3 or higher toxicity. Four patients died as a result of treatment-related adverse events.

Table 4 shows the frequency of each type of toxicity and the median time to onset in months.

Table 4.

Incidence of adverse effects (% of patients, n = 1005).

Type of toxicity  Patientsn (%)  Patients with grades 3 and 4n (%)  Median time to onset,months 
Any toxicity  620 (61.7)  150 (14.9)  2 
Cardiac toxicity  23 (2.3)  5 (0.5)  3.6 
Skin toxicity  194 (19.3)  45 (4.5)  2.9 
Endocrine toxicity  108 (10.7)  22 (2.2)  4.1 
Gastrointestinal toxicity  215 (21.4)  69 (6.9)  2.9 
Haematological toxicity  35 (3.5)  10 (0.9)  4.6 
Neurological toxicity  44 (4.4)  17 (1.7)  2.1 
Ocular toxicity  7 (0.7)  0 (0)  3.5 
Pulmonary toxicity  109 (10.8)  44 (4.4)  4.1 
Renal toxicity  59 (5.9)  14 (1.4)  5.5 
Musculoskeletal toxicity  88 (8.8)  21 (2.1)  3.2 
Asthenia  206 (20.5)  33 (3.3) 
Anorexia  43 (4.3)  10 (0.9) 

Median time to onset of first toxicity.

Overall, 12.7% of patients discontinued treatment due to adverse effects, with some experiencing more than one effect. The most frequent causes were gastrointestinal toxicity (46.9%), pulmonary toxicity (33.9%), and cutaneous toxicity (27.8%). A significant proportion of patients discontinued treatment due to asthenia (23.4%), renal (15.6%), and musculoskeletal toxicities (12.2%). This was followed by endocrine (10.5%), haematological (7.8%), neurological (6.1%), cardiac toxicities (3.5%), and anorexia (4.3%). There were no cases of discontinuation due to ocular toxicity.

Of the 1005 patients, 169 (16.8%) required hospital admission due to pembrolizumab-related adverse effects. The main causes were pulmonary (54 patients, 31.9% of admissions), gastrointestinal (39 patients, 23.1%) and neurological toxicities (15 patients, 8.9%). Thus, pulmonary and gastrointestinal toxicities were the most severe adverse effects observed in this population. Furthermore, 591 patients (58.8%) required additional treatment for toxicity, most frequently for gastrointestinal (117 patients, 19.8%), cutaneous (101 patients, 17.1%), and pulmonary toxicities (94 patients, 15.9%). Some toxicities were of low severity. For example, cutaneous toxicity resulted in only 8 hospital admissions, yet 101 patients still required additional treatment.

Statistically significant differences in survival curves were observed between patients with and without toxicities; OS was longer in those who experienced at least 1 toxicity. These patients had a median OS of 28.3 months (95% CI: 23.9–34.5), compared with 6.6 months (95% CI: 5.1–9.2) for patients who did not experience any toxicity (p < 0.0001) (Fig. 2A). Furthermore, patients who experienced 2 or more different toxicities had a median OS of 36.2 months (95% CI: 31.9–46.7 7), compared with 11.7 months (95% CI: 9.8–13.9) for those who experienced no toxicity or only 1 (p < 0.0001) (Fig. 2B).

Figure 2.

(A) OS curve grouped by the presence or absence of toxicity; (B) OS curve grouped by 0–1 vs 2 or more toxicities.

Discussion

After a median follow-up of 17.9 months, our study showed a median PFS of 8.7 months (95% CI: 7.2–10.1) and a median OS of 18.0 months (95% CI: 16.2–21.3), whereas the KEYNOTE-024 trial reported a median PFS of 7.7 months (95% CI: 6.1–10.2), similar to ours, and a median OS of 26.3 months (95% CI: 18.3–40.4), which was higher than ours. The difference in OS may be due to the fact that 11% of patients in our sample had an ECOG PS ≥2, which was an exclusion criterion in the KEYNOTE-024 trial. It is also considered to be a predictor of poor treatment response, as demonstrated by our results and those of other published real-world studies.18–22 Recording performance status in routine clinical practice shows considerable variability. Although PS ECOG categories are well defined, studies have demonstrated substantial interobserver heterogeneity in their assignment. In this context, some patients classified as ECOG PS 1 in clinical records may have been considered ECOG PS 2 in a more controlled setting, such as a clinical trial, potentially leading to an underestimation of the true proportion of patients with ECOG PS 2 in our cohort.

Although there were no differences in the proportion of patients with squamous-cell NSCLC—which is associated with poorer survival outcomes—between the KEYNOTE-024 trial and our study, the proportion of non-smokers differed, at 3.2% and 7.7%, respectively. This may represent another explanation for the lower OS observed in the present study, as non-smoking status is associated with poorer survival outcomes.20,21,23

Another distinguishing feature of our cohort is the use of concomitant radiotherapy, a practice not included in the KEYNOTE-024 trial, in a considerable proportion of patients (32%). Although we did not observe a statistically significant association between OS and radiotherapy, its use may serve as an indirect marker of higher symptom burden or poorer baseline clinical status that might not be fully captured by ECOG PS scores recorded in medical records.

Furthermore, the bivariate analysis showed that a BMI ≥25 kg/m2 was associated with improved PFS and OS, which is consistent with the findings of recently published studies.24 Our results support the value of LIPI as a predictor of response to ICIs, which has also been demonstrated in previous studies.25 In our study, prior exposure to corticosteroids, antibiotics and, in particular, PPIs—which together with PS ECOG constituted one of the predictors of poorer overall survival in the multivariate analysis—was significantly associated with worse survival outcomes. Although this relationship is well documented in the literature,21,22,26,27 the heterogeneity of the studies, particularly with regard to the description of drug exposure, prevents clear conclusions from being drawn.

In terms of safety, the incidence of adverse events of any grade was somewhat lower than that reported in the pivotal clinical trial (61.7% vs 76.6%), and a similar pattern was observed for grade 3 or higher adverse events (15.3% vs 31.2%). The proportion of patients who discontinued pembrolizumab due to toxicity was also slightly lower (12.7% vs 13.6%).

In our cohort, 4 patients (0.4%) died as a result of adverse events, including 2 cases of pulmonary toxicity (pneumonitis) and 2 cases of cardiac toxicity (acute myocardial infarction and pericardial effusion). In the KEYNOTE-024 clinical trial, 2 patients (1.3%) died, one suddenly from an unknown cause at treatment initiation and the ot due to pneumonitis.

Our results confirm that the development of toxicity during pembrolizumab treatment may be associated with significantly improved survival rates. We also observed higher OS in patients who developed 2 or more adverse events, indicating a relationship between the number of adverse events experienced and clinical benefit.13

Finally, the main limitations of this study stem from its retrospective design, which is associated with a risk of information loss due to under-reporting and with reduced accuracy in data collection. Its strengths lie in its multicentre design and the large number of patients included, making it one of the largest recently published real-world studies in this context.19–21 Furthermore, this study was conducted across 42 hospitals in Spain, reflecting real-world clinical practice in this setting.

Overall, in terms of both efficacy and safety, the results of this study are consistent with those reported in the KEYNOTE-024 clinical trial and in previously reviewed real-world studies. The main differences, particularly in OS, may be attributed to the inclusion in these real-world studies of patient groups systematically excluded from clinical trials, such as those with an ECOG PS ≥2.

Our results confirm that ECOG PS ≥2 and prior use of PPIs are predictive factors for lower OS, and that the development of toxicity during treatment is statistically associated with improved survival rates.

Ethical considerations

The study was conducted in accordance with the principles of the Declaration of Helsinki and was approved by the Ethics and Drug Research Committee of Alicante General Hospital on 1 April, 2021, registration number 2021–002. Exemption from obtaining informed consent was authorised in the case of deceased patients.

Funding

This project received financial support through the SEFH 2020–2021 call for project grants to working groups.

CRediT authorship contribution statement

Amparo Burgos: Writing – review & editing, Writing – original draft, Validation, Supervision, Project administration, Methodology, Data curation, Conceptualization. Teresa Calleja: Writing – review & editing, Writing – original draft, Validation, Supervision, Project administration, Methodology, Data curation, Conceptualization. María Sacramento Díaz: Writing – review & editing, Writing – original draft, Validation, Methodology, Data curation, Conceptualization. Garbiñe Lizeaga: Writing – review & editing, Writing – original draft, Validation, Methodology, Data curation, Conceptualization. Cristina Ibáñez: Writing – review & editing, Writing – original draft, Validation, Data curation. Carmen María Valencia: Writing – review & editing, Writing – original draft, Validation, Data curation. Mónica Carbajales: Writing – review & editing, Writing – original draft, Validation, Methodology, Data curation, Conceptualization. David Conde: Writing – review & editing, Writing – original draft, Validation, Data curation. Juan Francisco Marín: Writing – review & editing, Writing – original draft, Validation, Methodology, Data curation, Conceptualization. Margarita Garrido: Writing – review & editing, Writing – original draft, Validation, Methodology, Data curation, Conceptualization. Raúl Díez: Writing – review & editing, Writing – original draft, Validation, Methodology, Data curation, Conceptualization. María José Martínez: Writing – review & editing, Writing – original draft, Validation, Methodology, Data curation, Conceptualization. María Larrosa: Writing – review & editing, Writing – original draft, Validation, Methodology, Data curation, Conceptualization. Estela Moreno: Writing – review & editing, Validation, Methodology, Conceptualization.

Conflicts of interest

None declared.

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