Sugerencias
Idioma
Información de la revista
Cita
Cita
Compartir
Descargar PDF
Más opciones de artículo
Visitas
393
Original article
Acceso a texto completo
Disponible online el 29 de junio de 2026

Real-world evidence of immune-related adverse events as predictive factor of response in non-small cell lung cancer

Efectos adversos inmunorrelacionados como factor predictivo de respuesta en cáncer de pulmón no microcítico en vida real
Visitas
393
Maria Susana Fortes-Gonzaleza,
Autor para correspondencia
, Silvia Vazquez-Blancoa, Leticia Herrero-Pocha,d, Lucia Santome-Coutob, Ana Cristina Cercos-Lletic
a Servicio de Farmacia, Hospital Povisa, Vigo, Spain
b Servicio de Oncología Médica, Hospital Povisa, Vigo, Spain
c Servicio de Farmacia, Hospital Universitario Dr Peset, Valencia, Spain
d Innovation in Clinical Pharmacy Research Group (i-FARMA-Vigo), Galicia Sur Health Research Institute (ISS Galicia Sur), SERGAS-UVIGO, Vigo, Spain
Contenido relacionado
Maria Susana Fortes-Gonzalez, Silvia Vazquez-Blanco, Leticia Herrero-Poch, Lucia Santome-Couto, Ana Cristina Cercos-Lleti
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Figuras (3)
f0005
f0010
f0015
Tablas (3)
Table 1. Baseline characteristics of the study population.
Tablas
Table 2. Efectiveness of PD-1/PD-L1 inhibitors in non-small-cell lung cancer.
Tablas
Table 3. Toxicity profile of PD-1/PD-L1 inhibitors in non-small-cell lung cancer.
Tablas
Abstract
Objective

The aim of the study was to assess whether immune-related adverse events (irAE) act as predictive biomarkers of response to immune checkpoint inhibitors in non-small-cell lung cancer in real-life practice.

Methods

Retrospective observational study in a third-level hospital. Inclusion criteria: adult patients with locally advanced or metastatic non-small-cell lung cancer treated with nivolumab, pembrolizumab or atezolizumab following platinum.

Primary endpoint: association between ≥2 irAE and progression free survival (PFS) and overall survival (OS). Secondary endpoints: PFS, OS, overall response rate defined as the percentage of patients who achieve partial response or complete response, disease control rate and adverse events graded according to the Common Terminology Criteria for Adverse Events v5. Statistical analysis was performed using SPSS v23.

Results

Fifty-seven patients treated with nivolumab (n = 25) pembrolizumab (n = 11) or atezolizumab (n = 21) were included. Median age was 62 (31–83) years and 81% had stage IV. Median PFS was 7.8 months (95% CI: 4.3–11.3) and OS was 13.4 months (95% CI: 5.8–20.9). Overall response rate and disease control rate were 28.1% and 59.6% respectively.

irAEs occurred in 44% of patients, most frequently arthralgia, myalgia, and transaminase elevation. Grade 3 irAEs included: 3 cases of colitis, 2 pneumonitis, 1 hepatitis, 1 cutaneous toxicity, and 1 adrenal insufficiency. Survival was significantly longer in patients with ≥2 irAEs compared to those with <2: OS 28.4 vs 11.9 months (p = 0.025) and PFS 24.5 vs 5.2 months (p = 0.013).

Conclusions

Patients experiencing 2 or more irAEs showed significantly improved survival, supporting the role of irAEs as potential biomarkers of response to immunotherapy in non-small-cell lung cancer.

Keywords:
Carcinoma, non-small-cell lung
Immune checkpoint inhibitors
Survival analysis
Safety
Biomarkers
Resumen
Objetivo

el objetivo del estudio fue determinar si los eventos adversos inmunorrelacionados (EAir) se comportan como factores predictivos de respuesta a la inmunoterapia en el cáncer de pulmón no microcítico en vida real.

Método

estudio observacional retrospectivo en un hospital de tercer nivel. Se incluyeron pacientes adultos con cáncer de pulmón no microcítico localmente avanzado o metastásico tratados con nivolumab, pembrolizumab o atezolizumab tras su progresión a platino.

Variables principales: asociación entre los EAir (menos de 2 frente a 2 o más), la supervivencia libre de progresión (SLP) y la supervivencia global (SG). Objetivos secundarios (en población global): SLP, SG, tasa de respuesta objetiva, tasa de control de enfermedad y efectos adversos graduados según la clasificación Common Terminology Criteria for Adverse Events v5. Análisis estadístico realizado con SPSS v23.

Resultados

se incluyeron 57 pacientes tratados con nivolumab (n = 25), pembrolizumab (n = 11) o atezolizumab (n = 21). Mediana de edad: 62 (31–83) años, 81% estadio IV. La mediana de SLP fue de 7,8 meses (IC 95%: 4,3–11,3) y de SG 13,4 meses (IC 95%: 5,8–20,9). La tasa de respuesta objetiva fue del 28,1% (3,5% respuestas completas, 24,6% respuestas parciales) y la tasa de control de enfermedad del 59,6%.

Se produjeron EAir en el 44% de los pacientes, siendo los más frecuentes: artralgias, mialgias y elevaciones de transaminasas. Se detectaron 3 casos de colitis grado 3, 2 de neumonitis grado 3, uno de hepatitis grado 3, uno de toxicidad cutánea grado 3 y uno de insuficiencia suprarrenal grado 3. La SG fue significativamente superior en pacientes con más de 2 EAir frente a pacientes con menos de 2 EAir (28,4 frente a 11,9 meses; p = 0,025). Lo mismo ocurrió con la SLP (24,5 frente a 5,2 meses; p = 0,013).

Conclusiones

los pacientes con 2 o más EAir presentan una supervivencia significativamente superior, lo que apoya su valor como posible factor predictivo de respuesta a la inmunoterapia en el cáncer de pulmón no microcítico.

Palabras clave:
Cáncer de pulmón no microcítico
Inhibidores del punto de control inmune
Análisis de supervivencia
Seguridad
Biomarcadores
Texto completo
Introduction

Lung cancer (LC) is the leading cause of cancer mortality worldwide, accounting for an estimated incidence of 2.4 million cases per year (12.4% of all cancer cases).1 This disease is classified into small cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC), with differing prognosis and treatments.2 NSCLC accounts for 80–90% of all lung tumors and is subcategorized into two histological types: squamous and non-squamous.2

For years, first-line treatment for advanced non-mutated NSCLC involved platinum-doublet chemotherapy; however, high relapse rates often required second-line treatment with docetaxel.3 Accumulating evidence linking specific genetic alterations to targeted therapeutic strategies has profoundly reshaped the treatment algorithm for NSCLC. In this context, molecular profiling (EGFR, BRAF, KRAS, HER2 gene mutations; ALK, ROS, RET rearrangements or NTRK fusions)2 has become essential, as immunotherapy has emerged as a cornerstone of treatment.

Immunotherapy is aimed at boosting the immune system activity against the tumor through the use of immune checkpoint inhibitors (ICIs). For such a purpose, a range of monoclonal antibodies targeting the programmed death-1 (PD-1) receptor or its ligand (PD-L1) has been developed. Current clinical guidelines recommend these agents as second-line treatment for patients with advanced/metastatic NSCLC following platinum-based chemotherapy.2,4,5 Cumulative evidence supporting the superiority of nivolumab, pembrolizumab and atezolizumab over docetaxel found in phase III studies3,6–11 led to their approval by the Spanish Agency for Medicines and Medical Devices.3,6–11 Consequently, immunotherapy has positioned as the preferred first-line treatment for NSCLC. Nevertheless, a proportion of patients still continue to progress to second-line therapy without having received prior immunotherapy. In this setting, any of the three agents can be considered, given the comparable level of evidence supporting their efficacy, despite the lack of direct comparative analyses.4

Immunotherapy has demonstrated lower toxicity compared to standard cytotoxic agents. However, PD-1/PD-L1 inhibitors also entail some risks. Immune checkpoint pathways play a critical role in maintaining self-tolerance. Accordingly, ICIs have the potential to alter the immune homeostasis, thereby triggering immune-related adverse events (irAEs) at any level.12 In a recent meta-analysis, the incidence of irAEs was estimated to reach 40%, with high-grade irAEs accounting for 19.7% of all irAEs.13 Common manifestations include arthralgia, endocrinopathies, dermatitis, hepatitis, colitis and pneumonitis.14

The role of irAEs as a surrogate marker of tumor response to ICI is controversial. A variety of studies and meta-analyses have revealed higher survival and response rates in patients who develop irAEs, as compared to those not experiencing any.15–20

The purpose of this study was to explore the role of irAEs as a predictive factor of response to ICI in NSCLC.

MethodsDesign and patients

A descriptive, retrospective, observational study was conducted between December 2016 and May 2021 in a third-level hospital. Inclusion criteria were age > 18 years; advanced/metastatic (stage IIIB-IV) NSCLC; progression following platinum chemotherapy; ≥1 previous ICI cycle (nivolumab, pembrolizumab, atezolizumab) and Eastern Cooperative Oncology Group (ECOG) 0–1. EGFR, ALK or ROS mutation carriers were required to have received tyrosine kinase inhibitors. The exclusion criteria included taking part in a clinical trial; stage I-IIIA disease; ongoing durvalumab as consolidation therapy after chemoradiotherapy; unresectable stage III tumor; no previous platinum chemotherapy; and death before the follow-up CT scan.

The study was approved by the Galice Ethics Committee for Research with Medicinal Products (CEIm-G) (2021/159). This study was conducted in accordance with the tenets of the Declaration of Helsinki, the European Convention on Bioethics, and applicable laws and regulations. Written informed consent was obtained from all participants.

Demographic (age, sex, tobacco use, ECOG) and clinical (histology, stage, molecular status, LIPI, previous treatment and response) variables were collected. The PD-L1 Combined Positive Score (CPS) was determined by immunohistochemistry using Dako 22C3 antibody (PharmDx). Treatment-related variables included agent, dosage, number of cycles, treatment duration and reason for discontinuance.

Data were extracted from electronic medical records and the local cancer pharmacy validation system (Farmis-Oncofarm®). All personal data were collected and processed in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council, of April 27, 2016, on the protection of individuals with regard to the processing of personal data and on the free movement of data and Organic Law 3/2018 of December 5 on personal data protection and guarantee of digital rights.

Effectiveness and safety

Primary effectiveness endpoints included overall survival (OS) and progression-free survival (PFS) as a function of the occurrence of irAEs (<2 irAEs versus ≥2irAEs). PFS was defined as the interval from treatment initiation until disease progression or death from any cause. OS was defined as the time from treatment initiation to death from any cause. Patients who did not experience any irAEs by the end of follow-up were considered censored. Adverse events (AEs) were classified in accordance with the Common Terminology Criteria for Adverse Events (CTCAE) version 5.0. Abnormal laboratory parameters required confirmation through two sequential measurements to be considered AEs. The impact of AEs was registered in terms of delayed doses, treatment discontinuance or hospital admissions. IrAEs were defined as any collateral inflammatory events resulting from an overactive immune system.14

Secondary endpoints included overall PFS; OS; objective response rate [ORR: complete response (CR) + partial responses (PR)] and disease control rate [DCR: ORR + stable disease (SD)], according to Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 criteria. Pseudoprogression was defined as the initial elevation of tumor burden or number of lesions followed by clinical response or disease stabilization with no clinical deterioration during immunotherapy, in accordance with i-RECIST criteria.

Statistical analysis

Statistical analyses were performed using the SPSS v23 software package. Descriptive analysis of qualitative variables was carried out using absolute and relative frequencies. Normally distributed variables were described as mean ± standard deviation. Continuous variables with a non-normal distribution were described as median with their interquartile ranges. Normality was assessed using goodness-of-fit tests and graphical analysis.

Response rates were estimated as percentages of the best overall response achieved by patients. Analysis of survival was conducted using the Kaplan–Meier method. OS and PFS results were expressed as median with their 95% confidence intervals. Comparison of survival curves stratified by the number of irAEs (<2 vs ≥2) was performed using the log-rank test, assuming proportional hazards. This non-parametric test is appropriate for comparing time-to-event distributions in the presence of censored observations. A two-sided significance level of p < 0.05 was applied. P-values were interpreted as the probability of observing differences equal to or greater than those obtained under the null hypothesis, which assumed no association between survival and the occurrence of irAEs.

ResultsCharacteristics of the population

During the study period, a total of 61 patients with NSCLC received ICI therapy following progression to platinum chemotherapy. The following cases were excluded: a patient with stage II disease; a patient who received a single previous chemotherapy cycle while awaiting molecular test results; a patient who died prior to the follow-up CT scan; and a patient who declined to provide informed consent.

The final sample included 57 patients, who received treatment with nivolumab (n =  25), pembrolizumab (n =  11) or atezolizumab (n = 21). Table 1 describes the baseline characteristics of the study population. Median age was 62 (31–83) years (72% male). The majority of patients were smokers (58%), had stage IV disease (81%), non-squamous LC (65%), ECOG 1 (89%) and PD-L1  < 1% (46%). In line with the pembrolizumab SmPC, all patients treated with this agent exhibited a PD-L1  > 1%. Actionable mutations were identified in an EGFR+ patient previously treated with gefitinib and erlotinib and an ALK+ patient treated with crizotinib and alectinib.

Table 1.

Baseline characteristics of the study population.

Variable  Nivolumab (n  =  25)  Pembrolizumab (n  =  11)  Atezolizumab (n  =  21)  Total (n = 57) 
Age, median (range)  66 (38–80)  60 (31–76)  62 (48–83)  62 (31–83) 
Male, (%)  21 (88)  6 (55)  14 (67)  41 (72) 
Tobacco, n (%)         
Non-smoker  1 (4)  0 (0)  0 (0)  1 (2) 
Smoker  12 (48)  7 (64)  14 (67)  33 (58) 
Former smoker  12 (48)  4 (36)  7 (33)  23 (40) 
Stage, n (%)         
IIIB-IIIC  6 (24)  2 (18)  3 (14)  11 (19) 
IV  19 (76)  9 (82)  18 (86)  46 (81) 
Histology, n (%)         
Squamous  11 (44)  3 (27)  6 (29)  20 (35) 
Non-squamous  14 (56)  8 (73)  15 (71)  37 (65) 
Molecular stage, n (%)         
EGFR +  1 (4)  0 (0)  0 (0)  1 (2) 
ALK +  1 (4)  0 (0)  0 (0)  1 (2) 
ROS1 +  0 (0)  0 (0)  0 (0)  0 (0) 
MTS sites, n (%)         
Liver  1 (4)  1 (9)  2 (10)  4 (7) 
Bone  4 (16)  3 (27)  4 (19)  11 (19) 
Brain  4 (16)  2 (18)  2 (10)  8 (14) 
ECOG, n (%)         
0  4 (15)  2 (18)  0 (0)  6 (11) 
1  21 (84)  9 (82)  21 (100)  51 (89) 
PD-L1 levels         
<1%  15 (60)  0 (0)  11 (52)  26 (46) 
1–49%  1 (4)  5 (45)  6 (29)  12 (21) 
≥50%  0 (0)  6 (55)  4 (19)  10 (18) 
LIPI, n (%)         
0  17 (68)  7 (64)  11 (52)  35 (61) 
1  8 (32)  2 (18)  9 (43)  19 (33) 
2  0 (0)  2 (18)  1 (5)  3 (5) 
Previous surgery, n (%)  6 (24)  3 (37)  2 (10)  11 (19) 
Previous radiotherapy, n (%)  11 (44)  2 (18)  9 (43)  22 (39) 
Previous response, n (%)         
PR + CR  16 (64)  6 (55)  14 (67)  36 (63) 
SD  4 (16)  3 (27)  5 (24)  12 (21) 
DP  5 (20)  2 (18)  2 (10)  9 (16) 
Previous treatment, n (%)         
Adjuvant Pt  1 (4)  1 (9)    2 (4) 
1 line  10 (40)  9 (82)  17 (81)  36 (63) 
2 lines  14 (56)  1 (9)  4 (19)  19 (33) 
Doses, n (%)         
Fixed  9 (36)  1 (9)  21 (100)  31 (54) 
Weight-based  16 (64)  10 (91)  0 (0)  26 (46) 
Cycles, median (range)  13 (1–99)  8 (1–35)  6 (1–37)  8 (1–99) 

ECOG: Eastern Cooperative Oncology Group; SD: stable disease; LIPI: Lung Immune Prognostic Index; MTS: metastasis; DP: disease progression; Pt: platinum; CR: complete response; PR: partial response.

Effectiveness

In total, 12% of patients were still undergoing treatment at the time the data analysis was performed (May 31, 2021). The main reasons for treatment discontinuance included disease progression (63%) and toxicity (14%). In the rest of the patients (11%), treatment was discontinued due to worsening of ECOG status (n =  4), completion of the two-year pembrolizumab regimen (n =  1), and adrenal insufficiency secondary to discontinuance of corticosteroid therapy (n =  1). The median treatment duration was 5.0 (0.2–45.5) months for the study population, more specifically, 7.8 (0.3–45.5) months for nivolumab, 5.5 (1.0–24.8) months for pembrolizumab and 4.2 (0.2–25.7) months for atezolizumab. As many as 74% of patients had died.

Fig. 1 details survival data. The median PFS was 7.8 months (95% CI 4.3–11.3) and OS 13.4 months (95%CI 5.8–20.9). No statistically significant differences were observed in PFS or OS based on the agent administered.

Figure 1.

Overall survival (OS) and progression-free survival (PFS). A) OS for the total study population (n =  57). B) OS by type of agent. C) PFS for the total study population. D) PFS by type of agent.

ORR was 28.1% (3.5% CR, 24.6% PR) and DCR del 59.6%. Table 2 presents response rates by agent subgroup. Pseudoprogression rate at first follow-up CT scan was 26%.

Table 2.

Efectiveness of PD-1/PD-L1 inhibitors in non-small-cell lung cancer.

Variable  Nivolumab(n  =  25)  Pembrolizumab(n  =  11)  Atezolizumab(n  =  21)  Total(n  =  57) 
ORR, n (%)  7 (28.0)  5 (45.5)  4 (19.0)  16 (28.1) 
DCR, n (%)  16 (64.0)  8 (72.7)  12 (57.1)  34 (59.6) 
Best response, n (%)         
CR  0 (0)  2 (18.2)  0 (0)  2 (3.5) 
PR  7 (28.0)  3 (27.3)  4 (19.0)  14 (24.6) 
SD  9 (36.0)  3 (27.3)  8 (38.1)  20 (35.1) 
DP  9 (36.0)  3 (27.3)  9 (42.9)  21 (36.8) 

SD: stable disease; DP: disease progression; CR: complete response; PR: partial response; DCR: disease control rate; ORR: objective response rate.

Safety

In total, 93% of patients developed an AE (96% with nivolumab; 100% with pembrolizumab; and 86% with atezolizumab), with a mean of 2.9  ±  1.7 AE/patient. The reported AEs are detailed in Table 3, with asthenia (79%), hyperglycemia (32%), anorexia (28%), anemia (26%) and arthralgia (16%) being the most common. The majority of AEs were mild, with 24% being G3–4 toxicities. Severe AEs reported for >5% of patients included asthenia (7%), anemia (5%) and colitis (5%).

Table 3.

Toxicity profile of PD-1/PD-L1 inhibitors in non-small-cell lung cancer.

Variable  Nivolumab (n  =  25)Pembrolizumab (n  =  11)Atezolizumab (n  =  21)Total (n = 57)
Grade  G1–2  G3–4  G1–2  G3–4  G1–2  G3–4  G1–2  G3–4 
Inspecific AE, n (%)                 
Asthenia  16 (64)  4 (16)  10 (91)  0 (0)  15 (71)  0 (0)  41 (72)  4 (7) 
Diarrhea  3 (12)  0 (0)  3 (27)  0 (0)  3 (27)  0 (0)  9 (16)  0 (0) 
Anorexia  7 (28)  0 (0)  3 (27)  0 (0)  6 (55)  0 (0)  16 (28)  0 (0) 
Pruritus  1 (4)  0 (0)  1 (9)  0 (0)  1 (9)  0 (0)  3 (5)  0 (0) 
Dysgeusia  2 (8)  0 (0)  1 (9)  0 (0)  0 (0)  0 (0)  3 (5)  0 (0) 
Infusional reaction  1 (4)  0 (0)  0 (0)  0 (0)  0 (0)  0 (0)  1 (2)  0 (0) 
Hyperglycemia  8 (32)  0 (0)  2 (18)  0 (0)  8 (73)  0 (0)  18 (32)  0 (0) 
Anemia  7 (28)  2 (8)  2 (18)  1 (9)  3 (27)  0 (0)  12 (21)  3 (5) 
Lymphopenia  2 (8)  1 (4)  2 (18)  0 (0)  2 (18)  1 (9)  6 (11)  2 (4) 
Neutropenia  2 (8)  0 (0)  0 (0)  0 (0)  0 (0)  0 (0)  2 (4)  0 (0) 
Thrombocytopenia  2 (8)  1 (4)  1 (9)  0 (0)  2 (18)  0 (0)  5 (9)  1 (2) 
irAE, n(%)                 
Arthralgia  3 (12)  0(0)  1 (9)  0 (0)  5 (45)  0 (0)  9 (16)  0 (0) 
Myalgia  2 (8)  0 (0)  1 (9)  0 (0)  4 (36)  0 (0)  7 (12)  0 (0) 
Pneumonitis  0 (0)  1 (4)  0 (0)  1 (9)  0 (0)  0 (0)  0 (0)  2 (4) 
Cutaneous toxicity  1 (4)  1 (4)  0 (0)  0 (0)  0 (0)  0 (0)  1 (2)  1 (2) 
Hepatotoxicity  5 (20)  1 (4)  1 (9)  0 (0)  3 (27)  0 (0)  9 (16)  1 (2) 
Hypothyroidism  1 (4)  0 (0)  0 (0)  0 (0)  1 (9)  0 (0)  2 (4)  0 (0) 
Conjunctivitis  1 (4)  0 (0)  0 (0)  0 (0)  0 (0)  0 (0)  1 (2)  0 (0) 
Colitis  0 (0)  0 (0)  0 (0)  1 (9)  0 (0)  2 (18)  0 (0)  3 (5) 
Adrenal insufficiency  0 (0)  0 (0)  0 (0)  1 (9)  0 (0)  0 (0)  0 (0)  1 (2) 

AEs: adverse events; irAEs: immune-related adverse events; G: grade.

A total of 44% of patients experienced irAEs, prevailingly arthralgia, myalgia and elevation of transaminase levels. Other AEs included three cases of G3 colitis (which required corticosteroid therapy and treatment discontinuation + infliximab in a case); two cases of G3 pneumonitis (hospital admission, corticosteroids and discontinuance); a case of G3 hepatitis (admission, corticosteroids and discontinuance); a case of G3 cutaneous toxicity (corticosteroids and discontinuance) and a case of G3 adrenal insufficiency (admission and corticosteroids). Hypothyroidism was managed with levothyroxine.

The median time to AE onset was 69 (0–638) days, with broad variability according to the affected system (Fig. 2). The earliest AEs (occurrence within 1 month) included infusion reaction, anemia, hyperglycemia, asthenia and pneumonitis. The median AE duration was 43 (5–814) days. The most persistent AEs included hypothyroidism, asthenia, hyperglycemia, cutaneous toxicity, hepatitis and adrenal insufficiency.

Figure 2.

Histogram of adverse events (AEs). This histogram displays the median time to AE onset (days) on the left against a white background. On the right, the median duration of the AE (days) is presented against a black background.

Toxicity led to dose delays in 18% and to treatment discontinuation in 14% of cases. Additionally, hospital admission was required in 18% of cases, with a median length of stay of 7 (1–43) days. No deaths attributable to AEs occurred.

Association between immune-related toxicity and effectiveness

An analysis was performed to examine the role of irAEs as a marker of treatment effectiveness. Statistically significant differences were observed regarding the two primary endpoints.

As shown in Fig. 3, the median OS was 28.4 (0.8–56.1) months in the presence of ≥2 irAEs versus 11.9 (9.3–14.5) months in the presence of <2 irAE (p =  0.025). The median PFS was 24.5 months (14.9–34.1) for ≥2 irAE versus 5.2 (2.4–8.0) months for <2 irAE (p =  0.013).

Figure 3.

Immune-related toxicity as a predictive factor of overall survival (OS). OS in patients according to the presence of ≥2 immune-related adverse events (irAEs).

Discussion

Although direct comparison of the three agents was not performed, they exhibited similar clinical benefits. No statistically significant differences were observed in PFS (7.8 months for nivolumab; 7.8 months for pembrolizumab; 5.0 months for atezolizumab) or OS (12.9 months for nivolumab, 22 months for pembrolizumab, 12.9 months for atezolizumab). The main limitations of this study include its sample size, retrospective design and single-centre nature, which limit the generalization of results to other populations and clinical settings.

The OS obtained with nivolumab is consistent with those achieved with second-line treatment in NSCLC patients in pivotal clinical trials and other real-world studies, with OS ranging from 9.7 to 11.0 months.9,21–23 However, the ORR obtained in our series (28%) was superior to that reported by other authors (19.7%),9 thereby resulting in a higher PFS as compared to previous studies (2.3–5.3 months).9,21–23 Such differences may stem from various factors, such as the retrospective nature of the study and the absence of an independent radiological review committee to assess response.

The median OS for pembrolizumab (22 months) differs substantially from that reported in the phase III study (10.4 months).8 Such a difference could be attributed to the small size of our sample (n = 11 patients) and the high percentage of patients with PD-L1  ≥  50%, which has been associated with improved OS outcomes (16.9 months).10 The PFS outcomes in our study are not consistent with those reported in previous real-world studies (16.7–24 months).24,25 Interestingly, a substantial difference was observed in ORR (45.5%) as compared to the pivotal study (18.0%).10 This inconsistency could be due to the detection of two CRs, which has a remarkable impact considering our small sample.

Regarding the atezolizumab cohort, OS rates are aligned with those obtained in the pivotal study (13.8 months).3,11 There is broad variability in OS outcomes in real practice, ranging from 6.5 months26 to not achieved. Nevertheless, the latter study involved a shorter follow-up period and number of patients.25 However, a higher level of agreement with other case-series studies was observed in terms of PFS (2–2.8 months)3,17 and ORR (19% in our cohort versus 14%).3

The incidence of AEs (93% of patients) is not consistent with that previously reported for nivolumab, pembrolizumab and atezolizumab.3,6–8 However, a comparable toxicity profile was identified concerning AE type. The most common AEs included anorexia and asthenia. No other common AEs, such as nausea were detected, probably due to underdiagnosis. Interestingly, a high proportion of patients developed hyperglycemia, since it is easily identified on laboratory tests. Higher consistency with pivotal trials was observed regarding severe AEs (24% in our cohort vs. 10.8% nivolumab; 13.0% pembrolizumab and 15.0% atezolizumab) and toxicity-related immunotherapy discontinuance (14% in our cohort vs. 6.5% for nivolumab, 4% pembrolizumab and 8% for atezolizumab).3,6–8

In our series, the most common irAEs included hepatotoxicity, arthromyalgia and colitis, whereas the most frequent irAEs in pivotal trials included cutaneous and gastrointestinal toxicity for nivolumab6,7; thyroid gland dysfunction and pneumonitis for pembrolizumab8; and pneumonitis, hepatitis and colitis for atezolizumab.3

The most relevant finding in this study was the significant association observed between irAEs and clinical benefit. The patients who developed two or more irAEs exhibited improved OS (28.4 vs 11.9 months) and PFS (24.5 vs. 5.2 months), as compared to the patients who developed one or less AEs. The pathophysiological mechanisms that explain this association are not fully understood; however, the onset of irAEs could reflect a robust activation of the immune system against the tumor. This association has been previously described in the literature, with a higher benefit observed in OS, PFS, ORR and CET in patients who developed irAEs while receiving ICI.16,17 Similar results were obtained in previous studies in smaller cohorts.18–20,27,28 Nevertheless, given the observational design of the study, the results allow for the identification of statistical associations but do not establish causal relationships. Furthermore, the presence of time-dependent bias cannot be excluded. Specifically, survival time needed to be long enough for patients to develop two or more irAEs; therefore, survival for this cohort may have been overestimated. Other limitations include the limited sample and number of events, potentially influencing the accuracy of estimations, and the potential influence of confounding factors (age, comorbidities, performance status, previous treatments, molecular profile, etc.).

The comparability of results is hindered by the lack of a standard definition for irAEs. The vast majority of studies assessed immune-related toxicity as a dichotomous variable (presence versus absence).17–19,27,28 Only two studies established the cut-off point of ≥2 irAEs, thereby using a similar approach to ours.16,20 This patient subgroup exhibited a durable tumor response.16 Stratification by accumulated number of irAEs facilitates a more accurate evaluation of the association between immune-related toxicity and the observed clinical benefit.

Interestingly, not all irAEs seem to play the same role as predictive of effectiveness. Some AEs, such as exanthema and temperature, were found to be associated with improved PFS, whereas others, such as diarrhea and hepatitis, have shown no association.29 Conversely, an association has been reported between pneumonitis and increased mortality. However, this finding could be influenced by the severe impact of pneumonitis-induced hypoxia in NSCLC patients, in whom tissue oxygenation is already impaired.30 The small sample hindered any comparative analysis of the different types of AEs.

In conclusion, real-world data suggest a superior clinical benefit of PD-L1 inhibitors in patients who develop two or more irAEs. The median OS doubles and PFS is five-fold higher in this subgroup of patients, thereby supporting a potential role of irAEs as a potential predictive factor of response. IrAE control has progressively improved as experience with the management of these toxicities has been gained. At present, irAEs lead to treatment discontinuance in only a small proportion of patients. In this setting, the potential of irAEs as markers of treatment efficacy suggests that active monitoring of these AEs would facilitate early irAE detection. Such an approach would help establish supportive care, thereby enabling the maintenance of dose intensity without compromising patient safety. Nonetheless, these findings should be interpreted with caution, in view of the limitations described above. Larger prospective studies are needed to confirm results and perform a more robust subgroup analysis.

Contribution to the scientific literature

Lung cancer is the leading cause of cancer mortality worldwide. As clinical outcomes have been shown to improve with immunotherapy, this approach has progressively moved into earlier lines of treatment, thereby displacing chemotherapy. However, a subgroup of patients continues to receive second-line therapy without previous immunotherapy.

The contribution of this study lies in the provision of real-world evidence regarding the significant association between immune-related toxicity and clinical benefit in patients with NSCLC treated with PD-1/PD-L1 inhibitors. The results obtained suggest the role of immune-related toxicity as a surrogate marker of effectiveness. These findings open an avenue for future research involving larger cohorts aimed at developing protocols that maintain dose intensity despite the occurrence of toxicities.

Funding

This study did not receive any funding.

Authorship responsibility and copyright transfer

All authors accept full responsibility as defined by the International Committee of Medical Journal Editors (available at http://www.icmje.org/). In the event of publication, the authors hereby exclusively transfer the rights of reproduction, distribution, translation, and public communication (by any means or through any sound, audiovisual, or electronic medium) of our work to Farmacia Hospitalaria and the SEFH. To this end, a copyright transfer agreement will be signed at the time of submission through the online manuscript management system.

Artificial intelligence use statement

The authors used ChatGPT for style and format editing. After using this AI tool, the authors revised and edited, where appropriate, the contents of the manuscript, and assume full responsibility for its contents.

Credit authorship statement

Maria Susana Fortes-Gonzalez: Writing – review & editing, Writing – original draft, Visualization, Validation, Supervision, Software, Resources, Project administration, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Silvia Vazquez-Blanco: Writing – review & editing, Writing – original draft, Formal analysis, Data curation. Leticia Herrero-Poch: Writing – review & editing, Writing – original draft, Formal analysis, Data curation. Lucia Santome-Couto: Writing – review & editing, Writing – original draft, Supervision, Formal analysis, Conceptualization. Ana Cristina Cercos-Lleti: Writing – review & editing, Writing – original draft, Supervision, Formal analysis, Conceptualization.

Conflict of interest

The authors confirm that there are no known conflicts of interest associated with this publication.

References
[1]
F. Bray, M. Laversanne, H. Sung, et al.
Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.
CA Cancer J Clin, 74 (2024), pp. 229-263
[2]
National Comprehensive Cancer Network.
NCCN Clinical practice guidelines in oncology versión 7.2024 cáncer de pulmón no microcítico. NCCN.
[3]
A. Rittmeyer, F. Barlesi, D. Waterkamp, et al.
Atezolizumab versus docetaxel in patients with previously treated non-small-cell lung cancer (OAK): a phase 3, open-label, multicentre randomized controlled trial.
Lancet, 389 (2017), pp. 255-265
[4]
L.E. Hendriks, K.M. Kerr, J. Menis, et al.
Non-oncogene-addicted metastatic non-small-cell lung cancer: ESMO clinical practice guideline for diagnóstico, treatment and follow-up.
Ann Oncol, 34 (2023), pp. 358-376
[5]
N.H. Hanna, B.J. Schneider, S. Temin, et al.
Therapy for stage IV non–small-cell lung cancer without driver alterations: ASCO and OH (CCO) Joint Guideline Update.
J Clin Oncol, 38 (2020), pp. 1608-1632
[6]
J. Brahmer, K.L. Reckamp, P. Baas, et al.
Nivolumab versus docetaxel in advanced squamous-cell non–small-cell lung cancer.
N Engl J Med, 373 (2015), pp. 123-135
[7]
H. Borghaei, L. Paz-Ares, L. Horn, et al.
Nivolumab versus docetaxel in advanced nonsquamous non–small-cell lung cancer.
N Engl J Med, 373 (2015), pp. 1627-1639
[8]
R.S. Herbst, P. Baas, D.W. Kim, et al.
Pembrolizumab versus docetaxel for previously treated, PD-L1-positive, advanced non-small-cell lung cancer (KEYNOTE-010): a randomized controlled trial.
Lancet, 387 (2016), pp. 1540-1550
[9]
H. Borghaei, S. Gettinger, E.E. Vokes, et al.
Five-year outcomes from the randomized, phase III trials checkmate 017 and 057: nivolumab versus docetaxel in previously treated non–small-cell lung cancer.
J Clin Oncol, 39 (2021), pp. 723-733
[10]
R.S. Herbst, E.B. Garon, D.-W. Kim, et al.
Long-term outcomes and retreatment among patients with previously treated, programmed death-ligand 1–positive, advanced non–small-cell lung cancer in the KEYNOTE-010 study.
J Clin Oncol, 38 (2020), pp. 1580-1590
[11]
L. Fehrenbacher, J. von Pawel, K. Park, et al.
Updated efficacy analysis including secondary population results for OAK: a randomized phase iii study of atezolizumab versus docetaxel in patients with previously treated advanced non–small cell lung cancer.
J Thorac Oncol, 13 (2018), pp. 1156-1170
[12]
P. Jain, C. Jain, V. Velcheti.
Role of immune-checkpoint inhibitors in lung cancer.
Ther Adv Respir Dis, 12 (2018), pp. 1-13
[13]
Jayathilaka B, Mian F, Franchini F, et al. Cancer and treatment specific incidence rates of immune-related adverse events induced by immune checkpoint inhibitors: a systematic review. Br J Cancer 2025 132, 51–57. doi:10.1038/s41416-024-02887-1
[14]
A. Prelaj, R. Tay, R. Ferrara, N. Chaput, B. Besse, R. Califano.
Predictive biomarkers of response for immune checkpoint inhibitors in nonesmall-cell lung cancer.
Eur J Cancer, 106 (2019), pp. 144-159
[15]
S. Hussaini, R. Chehade, R.G. Boldt, et al.
Association between immune-related side effects and efficacy and benefit of immune checkpoint inhibitors - A systematic review and meta-analysis.
[16]
B. Ricciuti, C. Genova, A. De Giglio, et al.
Impact of immune-related adverse events on survival in patients with advanced non-small cell lung cancer treated with nivolumab: long-term outcomes from a multi-institutional analysis.
J Cancer Res Clin Oncol, 145 (2019), pp. 479-485
[17]
M. Grangeon, P. Tomasini, S. Chaleat, et al.
Association between immune-related adverse events and efficacy of immune checkpoint inhibitors in non–small-cell lung cancer.
Clin Lung Cancer, 20 (2019), pp. 201-207
[18]
K. Sato, H. Akamatsu, E. Murakami, et al.
Correlation between immune-related adverse events and efficacy in non-small cell lung cancer treated with nivolumab.
Lung Cancer, 115 (2018), pp. 71-74
[19]
A. Talens Bolós, M.R. Candela Boix, N. Bujaldon Querejeta, A.C. Cercos Lleti.
Toxicidad inmuno-relacionada asociada al uso de pembrolizumab en la práctica asistencial.
Rev OFIL ILAPHAR, 32 (2022), pp. 335-340
[20]
Cercos-Lleti A.C. Cortijo-Cascajares, S. Ortiz-Perez, J.M. Caro-Teller, J.M. Ferrari-Piquero.
Analysis of immune-mediated reactions in patients with non-small cell lung cancer treated with nivolumab and its association with effectiveness.
J Oncol Pharm Practice, 29 (2023), pp. 290-298
[21]
M. Geier, R. Descourt, R. Corre, et al.
Real life second-line nivolumab in advanced non-small cell lung cancer: a French observational multicenter study of 259 patients (ABCT-IMMUNOBZH).
Cancer Rep Rev, 2 (2018), pp. 1-6
[22]
R.D. Schouten, M. Muller, C.J. de Gooijer, P. Baas, M. van den Heuvel.
Real life experience with nivolumab for the treatment of non-small cell lung carcinoma. Data from the expanded access program and routine clinical care in a tertiary cancer centre—The Netherlands Cancer Institute.
Lung Cancer, 126 (2018), pp. 210-216
[23]
M. Merino Almazán, J.M. Duarte Pérez, J.F. Marín Pozo, et al.
A multicentre observational study of the effectiveness, safety and economic impact of nivolumab on non-small-cell lung cancer in real clinical practice.
Int J Clin Pharm, 41 (2019), pp. 272-279
[24]
D. Ksienski, E.S. Wai, N. Croteau, et al.
Pembrolizumab for advanced nonsmall cell lung cancer: efficacy and safety in everyday clinical practice.
Lung Cancer, 133 (2019), pp. 110-116
[25]
M. Zayas-Soriano, M. Bonete-Sánchez, J. Campillo-López, B. Marcos-Ribes, A. Hernandez-Gui, M.T. Aznar-Saliente.
Efectividad y seguridad en la práctica clínica de anticuerpos anti PD-1/PD-L1 en monoterapia en el cáncer de pulmón no microcítico.
Farm Hosp, 45 (2021), pp. 22-27
[26]
T.M. Weis, S. Hough, H.G. Reddy, S. Daignault-Newton, G.P. Kalemkerian.
Real-world comparison of immune checkpoint inhibitors in non-small cell lung cancer following platinum-based chemotherapy.
J Oncol Pharm Pract, 26 (2020), pp. 564-571
[27]
Y. Toi, S. Sugawara, Y. Kawashima, et al.
Association of immune-related adverse events with clinical benefit in patients with advanced non-small-cell lung cancer treated with nivolumab.
Oncologist, 23 (2018), pp. 1358-1365
[28]
K. Haratani, H. Hayashi, Y. Chiba, et al.
Association of immune-related adverse events with nivolumab efficacy in non-small cell lung cancer.
JAMA Oncol, 4 (2018), pp. 374-378
[29]
S. Teraoka, D. Fujimoto, T. Morimoto, et al.
Early immune-related adverse events and association with outcome in advanced non–small cell lung cancer patients treated with nivolumab: a prospective cohort study.
J Thorac Oncol, 12 (2017), pp. 1798-1805
[30]
K. Suresh, K.J. Psoter, K.R. Voong, et al.
Impact of checkpoint inhibitor pneumonitis on survival in NSCLC patients receiving immune checkpoint immunotherapy.
J Thorac Oncol, 14 (2019), pp. 494-502
Descargar PDF
Idiomas
Farmacia Hospitalaria
Opciones de artículo
Herramientas