Literature DB >> 33536784

Peripheral Blood Markers Associated with Immune-Related Adverse Effects in Patients Who Had Advanced Non-Small Cell Lung Cancer Treated with PD-1 Inhibitors.

Wenhui Liu1,2, Yiping Liu1,2, Fang Ma3, Bao Sun1,2, Ying Wang1,2, Jianquan Luo1,2, Mouze Liu1,2, Zhiying Luo1,2.   

Abstract

BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape for patients with advanced non-small-cell lung cancer (aNSCLC), but immune-related adverse events (irAEs) have been evidenced curtailed the clinical use of them.
PURPOSE: The aim of this study was to research the influences of inflammation-related peripheral blood markers, including neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) levels, on anti-PD-1 inhibitor-induced irAEs. PATIENTS AND METHODS: A retrospective analysis was conducted of patients treated with PD-1 inhibitors for stage III-IV NSCLC at a single center from 2017 to 2020 were included. Clinical characteristics, peripheral blood markers at the baseline and before subsequent treatment cycles were collected. NLR and PLR were calculated by division of neutrophil and platelet by lymphocyte measured in peripheral blood. The development of irAEs was evaluated and monitored from the therapy start based on CTCAE V4.03.
RESULTS: A total of 150 patients were included. Fifty-seven patients had occurred at least one irAEs during follow-up, and mainly grade 1-2 (73.68%). Pruritus, rash and thyroiditis were the most commonly irAEs. Low NLR, PLR and neutrophil at baseline were significantly associated with the development of severe irAEs (P-values were 0.023, 0.0016 and 0.009). The levels of neutrophil, NLR and PLR also significantly decreased when occurred irAEs compared with baseline (P-values were 0.0069, 0.017 and 1.18E-5, respectively).
CONCLUSION: The levels of NLR, PLR and neutrophil were associated with the increased risk of severe irAEs when baseline levels were low. NLR, PLR, and neutrophil are simple and available biomarkers that can be used to help predict severe adverse effects in NSCLC patients treated with anti-PD-1 inhibitors.
© 2021 Liu et al.

Entities:  

Keywords:  NSCLC; immune checkpoint inhibitors; irAE; neutrophil-to-lymphocyte ratio; platelet-to-lymphocyte ratio

Year:  2021        PMID: 33536784      PMCID: PMC7850423          DOI: 10.2147/CMAR.S293200

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Lung cancer continues to be the most frequent cause of cancer-related death worldwide.1 In the last decade, immunotherapy has prompted a paradigm shift in NSCLC treatment. Immune checkpoint therapies were rapidly developed owing to their inspiring clinical efficacy in specific cancer types.2,3 Anti-PD-1 and PD-L1 inhibitors have become the points of interest in immune checkpoint therapies. Unfortunately, the efficiencies of anti-PD-1 or anti-PD-L1 inhibitors were usually heterogeneous, the response rates range from 15% to 30% in most solid tumors.4 However, the response rate is higher (40–60%) in patients who receive combination therapy. These immune checkpoint inhibitors (ICIs) treatment also associated with the occurrence of immune-mediated toxicities, known as immune-related adverse events (irAEs), which may involve most organs like the gut, skin, endocrine glands, lung, heart and so on.4 IrAEs are often different from the classic chemotherapy-related toxicities, and they are off-target effects of an excessively activated immune system.5 Results from multiple clinical trials showed a high rate of serious or fatal anti-PD-1 or anti-PD-L1 inhibitors induced irAEs (grade 3–4).6 Several clinical studies had elucidated that immune checkpoint therapies plus chemotherapy induced a higher rate of serious irAEs.7,8 The precise mechanisms for anti-PD-1 or anti-PD-L1 inhibitors induced irAEs have not been fully elucidated, and scientists speculate that it may be consistent with the action of ICIs, through the bystander effects from activated T-cells.9 Numbers of studies had evidenced that patients who experienced irAEs had improved clinical outcomes, measured using the overall response rate (ORR), progression-free survival (PFS) and overall survival (OS).10,11 However, serious irAEs are also the main reason for patients die or withdrawing treatment.12 The absolute concentration of peripheral blood lymphocytes and absolute monocyte count can be used as an inexpensive and clinical estimate of systemic immunity in humans.13 The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are new biomarkers of systemic inflammation that can be readily obtained from a peripheral complete blood count.14 Previous researches had found that pre-treatment NLR and PLR are prognostic markers associated with worse overall survival and death of ICIs in several tumor types.15,16 An increased NLR and PLR may reflect an innately dysfunctional host immune response, a by-product of tumor-related immune suppression, or some combination of both. Taking into account high treatment costs and potential severe toxicity, cheap and readily available biomarkers for irAEs is of interest17 Based on previous literature, we hypothesis that patients with decreased baseline NLR and PLR levels are more likely to benefit from PD-1 inhibitors and occur irAEs. Hence, we primarily aimed to evaluate the association between peripheral blood markers and the onset of irAEs. The secondary aims were to evaluate the changing trend of peripheral blood markers, based on the occurrence of irAEs.

Method

Study Population

A unicentric and prospective observational study was conducted to search the effect of NLR, PLR on severe irAEs interindividual difference in Chinese population. This study was approved by the Ethics Committee of Second Xiangya Hospital at Central South University, and all procedures were carried out in accordance with the Declaration of Helsinki. All patients were informed of this study and consented to participate. Patients who were diagnosed with advanced stage cancers (III–IV stage) and treated with anti-PD-1 between October 2017 and January 2020 were enrolled. The anti-PD-1 inhibitors (pembrolizumab or nivolumab) were administered intravenously every 3 weeks at a dose of 5 or 10mg/kg. Patients included according to the following criteria: (1) clinical symptoms, physical signs and imaging examination consistent with the diagnostic criteria for advanced stage NSCLC; (2) no use of antibiotics or microbial ecological agents for at least 4 weeks before anti-PD-1 inhibitors therapy; (3) without autoimmune diseases; (4) normal parameters of blood routine, hepatorenal function before and after anti-PD-1 inhibitor therapy.

Clinical Characteristics Collection

Clinical factors, including demographic variables (age, sex, height, weight, smoking and drinking habits), clinical characteristics (disease condition, PD-L1 expression level and pre-treatment PFS), were mainly obtained from the electronic medical records. All patients underwent blood routine examination before and after they received anti-PD-1 inhibitor treatment, unless the patient absolutely refused. Baseline blood counts data (defined as the most recent blood count within 1 week before ICI initiation) and blood counts before each treatment cycle were reviewed. We collected data including absolute neutrophil count, absolute lymphocyte count, and platelet count to calculate NLR and PLR. The NLR was calculated by dividing the absolute number of neutrophils by the absolute number of lymphocytes obtained from peripheral blood before the start of PD-1 inhibitor treatment. PLR was calculated by the division of thrombocytes and lymphocytes.

Patient Follow-Up and Definition of irAEs

The data from patients receiving anti-PD-1 antibodies indicated that most irAEs occurred within the first 6 months of treatment. Each patient followed-up for at least 6 months by regular clinic visits in this research. An oncologist and a pharmacist conducted the follow-up regularly. The occurrence of irAEs was followed-up and monitored from the therapy start. It was included in this study if the onset was before January 2020. Adverse events were evaluated by two oncologists independently and categorized based on National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE V4.04). These adverse events included rash, generalised pruritus, vitiligo, colitis, pneumonitis, hepatitis, thyroiditis, hypophysitis, arthritis and others (asthenia, fatigue, nephritis and Guillain-Barre´ syndrome).

Statistical Analyses

The clinical results were expressed as medians with interquartile range (IQR) for continuous variables, and frequency and percentage for categorical variables. The T-test (for continuous variables) and χ2 test (for categorical variables) were used to analyze the clinical characteristic difference between groups. The relationship between blood markers and the occurrence of irAE was assessed using the Mann–Whitney test. All statistical analyses were performed with the R statistical Language (V3.1.1) and GraphPad Prism (v6.0e) software package. Differences were considered to be significant at P < 0.05.

Results

Clinical Characteristics of the Enrolled Patients

The basic clinical characteristics are summarized in Table 1. A total of 150 patients were included in the study and followed-up for at least 6 months. The age of the included patients ranged between 17 and 79 years. Most patients were male (79.7%). More than half of patients were former or active smokers (58.0%). Most patients had squamous carcinoma (57.3%), and all patients had advanced NSCLC (aNSCLC). A large majority (87.3%) of patients had a pretreatment ECOG performance status of 0 or 1. About half of patients (50.7%) received immune therapy after disease progression on platinum-based chemotherapy. More than half of patients (69.3%) were not detected the expression of PD-L1 gene in tumor tissue. Among them, 130 patients received anti-PD-1 combined with chemotherapy, and 20 patients received anti-PD-1 monotherapy. A total of 62 patients stopped taking anti-PD-1 inhibitor therapy because of different reasons. Among them, most patients (77.4%) ceased treatment because of disease progression, while the others due to adverse events. There are two patients were died during the follow-up period due to fatal irAEs (one immune-related pneumonitis and one treatment-related cardiac event).
Table 1

Characteristics of Enrolled Patients

CharacteristicsPatient Count (N =150)
Age, mean±SD57.5±10.0
Sex
 Male118 (79.7%)
 Female32 (21.3%)
BMI, mean±SD22.7±3.9
Smoke habit(current or former)87 (58.0%)
Drink habit (current or former)41 (27.3%)
Histology
 Adenocarcinoma64 (42.7%)
 Squamous carcinoma86 (57.3%)
Clinical stage
 IIIB53 (35.3%)
 IV97 (64.7%)
ECOG PS score
 0–1131 (87.3%)
 219 (12.7%)
Prior platinum-based chemotherapy76 (50.7%)
PD-L1
 Not done104 (69.3%)
 <1%15 (32.6%)
 1–9%6 (13.0%)
 10–498 (17.4%)
 >50%17 (37.0%)
Therapeutic regimen
 Anti-PD-1 combined with chemotherapy130 (86.7%)
 Anti-PD-1 monotherapy20(13.3%)
Drug discontinuance62 (41.3%)
 Because of AEs or death14 (22.6%)
 Because of disease progression48 (77.4%)

Abbreviations: BMI, body mass index; ECOG PS score, Eastern Cooperative Oncology Group performance status; AE, adverse effect.

Characteristics of Enrolled Patients Abbreviations: BMI, body mass index; ECOG PS score, Eastern Cooperative Oncology Group performance status; AE, adverse effect.

IrAEs Development During Patient Follow-Up

During the follow-up time, a total of 57 patients (38.0%) developed at least one type of irAEs (Figure 1A). Pruritus, rash and thyroiditis are the most commonly occurred irAEs (as shown in Figure 1B). IrAEs found in this research were mainly mild (grade 1–2 in 73.7% patients). We totally followed 15 severe irAEs (grade 3–4) and 2 fatal irAEs. Patients who had taken anti-PD-1 monotherapy had higher grade 1–2 irAEs than patients who under combination therapy (70.59% vs 42.50, P= 0.027). However, none of the patients in the monotherapy group occurred grade 3–4 irAEs (P=0.09).
Figure 1

Number and frequency of irAEs in patients treated with PD-1 inhibitors. (A) Distribution of the number of irAEs per patient. (B) A bar plot illustrating the numbers of patients affected with each irAE.

Number and frequency of irAEs in patients treated with PD-1 inhibitors. (A) Distribution of the number of irAEs per patient. (B) A bar plot illustrating the numbers of patients affected with each irAE.

Elevated Baseline NLR is Associated with Decreased Risk of Grade 3–4 irAEs

The baseline clinical features between patients with or without irAEs were not significantly different (shown in ). When dividing the population into three groups according to the occurrence of grade 3–4 irAEs, we observed lower levels of NLR, PLR and neutrophil in the grade 3–4 irAEs group (P-values were 0.023, 0.0016 and 0.009, respectively), as shown in Table 2. Since anti-PD-1 monotherapy patients had higher grade 1–2 irAEs than patients under combination therapy, we further compared the peripheral blood markers between the monotherapy and combination groups. No significant difference was found (data not shown).
Table 2

Baseline Peripheral Blood Markers by the Degree of irAEs

CharacteristicsNon-irAEs (N=93)Grade 1–2 irAEs (N=42)Grade 3–4 irAEs (N=15)P1P2
Neutrophil5.55 (4.49–7.98)5.30 (4.43–8.32)4.46 (3.24–6.09)0.690.009
Lymphocyte1.01 (0.61–1.70)0.99 (0.71–1.73)1.38 (1.01–1.76)0.530.38
Platelet273.5 (236.75–329.75)315 (234–366)231 (183–276)0.0890.023
NLR4.25 (3.06–10.49)4.44 (3.24–8.86)3.22 (2.24–4.61)0.470.023
PLR213.22 (158.58–336.05)290.00 (203.65–336.36)171.19 (125.15–234.59)0.130.0016

Abbreviations: Non-irAEs, patients without irAEs; P1, non-irAEs vs grade 1/2 irAEs; P2, grade 3/4 irAEs vs (non-irAEs plus grade 1/2).

Baseline Peripheral Blood Markers by the Degree of irAEs Abbreviations: Non-irAEs, patients without irAEs; P1, non-irAEs vs grade 1/2 irAEs; P2, grade 3/4 irAEs vs (non-irAEs plus grade 1/2). Seventy-six (50.7%) enrolled patients previously underwent platinum-based chemotherapy and had disease progression. Patients who had previously taken chemotherapy had a lower rate of irAEs compared to patients who did not (32.9% vs 43.2%, P=0.13). To evaluate the effects of previous treatments on baseline inflammation, we compared baseline blood markers between patients with and without prior chemotherapy. Patients who previously taken platinum-based chemotherapy had elevated baseline NLR, PLR, and lymphocyte levels (P-values were 0.029, 0.003 and 0.001, respectively), as shown in .

NLR and PLR Level Decreased Before irAEs Occurred

To determine whether the change in NLR and PLR during treatment may serve as early biomarkers of irAEs, we compared the changes of blood markers at baseline and before subsequent cycles of treatment. The baseline and pretreatment cycle blood routine examination data of the patients who experienced irAEs were obtained. The NLR, PLR, and neutrophil counts were significantly decreased during the treatment cycle when irAEs occurred. The P-values were 0.0069, 0.013, and 1.18E-5, respectively, as shown in Figure 2.
Figure 2

The distribution of peripheral blood markers in baseline and cycle of irAEs. (A) The level of NLR in baseline and before the occurrence of irAEs. (B) The level of PLR in baseline and before the occurrence of irAEs. (C) The level of neutrophil in baseline and before the occurrence of irAEs. (D) The level of lymphocyte in baseline and before the occurrence of irAEs. (E) The level of platelet in baseline and before the occurrence of irAEs.

The distribution of peripheral blood markers in baseline and cycle of irAEs. (A) The level of NLR in baseline and before the occurrence of irAEs. (B) The level of PLR in baseline and before the occurrence of irAEs. (C) The level of neutrophil in baseline and before the occurrence of irAEs. (D) The level of lymphocyte in baseline and before the occurrence of irAEs. (E) The level of platelet in baseline and before the occurrence of irAEs. To compare the changes in blood markers between different grades of irAEs, we divided patients into two groups, based on the grade of their irAEs (grade 3–4 versus grade 1–2). In each subgroup, both NLR and PLR levels were decreased before the cycle when irAEs occurred, as shown in Table 3.
Table 3

Baseline and Cycle of irAEs of Peripheral Blood Markers in Different irAE Groups

CharacteristicsGrade 1–2 irAEs (N=42)P1Grade 3–4 irAEs (N=15)P2
BaselineirAEs CycleBaselineirAEs Cycle
Neutrophil5.30 (4.43–8.32)3.39 (2.69–6.04)0.0134.46 (3.24–6.09)3.35 (2.34–4.35)2.81E-4
Lymphocyte0.99 (0.71–1.73)1.29 (0.73–1.71)0.181.38 (1.01–1.76)1.29 (1.04–1.72)0.20
Platelet315 (234–366)244 (171–275)0.21231 (183–276)226 (165–270)0.20
NLR4.44 (3.24–8.86)3.82 (1.88–4.64)0.0133.22 (2.24–4.61)2.46 (1.78–3.79)0.011
PLR290.00 (203.65–336.36)200.74 (118.78–304.11)0.011171.19 (125.15–234.59)159.54 (130.66–204.72)0.37
Baseline and Cycle of irAEs of Peripheral Blood Markers in Different irAE Groups

Discussion

The emergence of PD-1 inhibitors has brought hope to patients with aNSCLC, but clinical studies have shown that no more than 20% of patients benefit from monotherapy. Regardless of PD-L1 expression, the combination of chemotherapy with PD-1 antibodies was more effective than chemotherapy alone as first-line therapy for NSCLC.7 The addition of anti-PD-1 to chemotherapy resulted in significantly higher response rates and longer progression-free survival than those from chemotherapy or anti-PD-1 alone. However, this was generally accompanied by a higher rate of adverse effects.12 As previous clinical studies elucidated that anti-PD-1 inhibitors plus chemotherapy induced a higher rate of serious irAEs, the results in our study showed that the rate of grade 1–2 irAEs in the monotherapy group is higher than that in the combination therapy group. This inconsistent result may be due to the small sample size of the monotherapy group (20 versus 130). Hence, this result cannot reflect the real clinical relevance. Treatment with immune checkpoint inhibitors may result in grade 3–4 irAEs, which necessitate patients to terminate anti-tumor therapy and acquired long-term steroids or endocrine treatment.18 Understanding the mechanisms of irAEs will not only help clinicians to manage them more effectively but also enable safety assessments of treatment resumption after irAEs resolution.19 A previous study showed that polymorphisms in human leukocyte antigen (HLA) genes were associated with the occurrence of irAEs in patients under immune checkpoint therapy.20 There was also evidence that pre-treatment intestinal microbiota can be used as biomarkers that correlate with protection against CTLA-4 blockade-associated colitis.21,22 Pre-treatment autoimmune markers, including rheumatoid factor, antinuclear antibody, antithyroglobulin, and antithyroid peroxidase were independently associated with anti-PD-1 induced irAEs.23 These factors were significantly associated with the risk of irAEs. However, the mechanism behind irAEs has not been fully elucidated. The prognostic significance of elevated NLR and PLR is observed with remarkable consistency across various cancer types. What remains unclear is whether decreased NLR and PLR levels represent a reaction to irAEs causing an aggressive clinical course. In our study population, the rate of irAE was similar to that reported in large real-life studies. Decreased baseline NLR and PLR were significantly associated with risk of severe irAEs (grade 3/4), but nor mild irAEs (grade 1/2), among aNSCLC patients under anti-PD-1 therapy. This finding agrees with previous studies, which associated lower inflammation-related blood markers with a higher risk of irAEs in NSCLC patients.24,25 While patients who had irAEs were more likely to have good treatment outcomes with anti-PD-1, they were also more likely to have lower baseline NLR and PLR levels. This result was consistent with the previous observation, that lower NLR and PLR were associated with good clinical outcomes in NSCLC patients treated with immune checkpoint inhibitors or platinum-based first-line chemotherapy.15,26,27 A novel finding in our research was that the levels of blood markers, including NLR, PLR and neutrophil, were dramatically decreased during the treatment cycle when irAEs occurred. The mechanism behind the ability of NLR and PLR to predict the clinical course during ICI treatment remains unclear. Alberto et al discussed the possible reasons for this. Fiamma et al previously reported that T cells recognized shared lung tumor and skin antigens simultaneously; thus, they target both organs, resulting in autoimmune skin toxic effects during immune checkpoint inhibitor therapy.28 Due to the association between blood markers and ICIs treatment outcomes, it is quite important to found factors that impact the balance between nonspecific inflammation and immunoreaction. In this study, we found that prior chemotherapy affected baseline levels of blood markers. In the clinical setting, oncologists should assess the potential risk of irAEs in patients who previously underwent chemotherapy. We are aware of the limitations of this study. First, this is a retrospective analysis with manual data extraction and a relatively small sample size. However, no missing data concerning laboratory values and follow-up data were encountered in our analysis. There may have also been the risk of a patient selection bias. Second, this was a mono-centre and real-world study, and most of the enrolled patients received PD-1 inhibitors as their second-line treatment or beyond. Although prior treatment did not affect the risk of irAEs, the baseline blood markers may have been affected by previous treatment. Third, as most studies divided NLR and PLR values into categorical variables, the absolute values of blood marker were used during the statistical analysis process. Despite these limitations, the study was unique as the first to investigate the dynamic changes in blood markers from the beginning of therapy to the occurrence of irAEs. In conclusion, we have demonstrated an association between baseline NLR and PLR and the probability of severe irAEs in aNSCLC through a real-world study. Both NLR and PLR dramatically decreased before irAEs occurred. NLR and PLR are cheap and readily available biomarkers for identifying patients who can benefit from anti-PD-1 antibody treatment. Further prospective studies with adequate sample sizes are needed to validate our results.
  28 in total

Review 1.  Financial Toxicity and Non-small Cell Lung Cancer Treatment: The Optimization in the Choice of Immune Check Point Inhibitors.

Authors:  Jacopo Giuliani; Andrea Bonetti
Journal:  Anticancer Res       Date:  2019-07       Impact factor: 2.480

2.  Cancer statistics, 2019.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2019-01-08       Impact factor: 508.702

3.  Pembrolizumab plus Chemotherapy in Metastatic Non-Small-Cell Lung Cancer.

Authors:  Leena Gandhi; Delvys Rodríguez-Abreu; Shirish Gadgeel; Emilio Esteban; Enriqueta Felip; Flávia De Angelis; Manuel Domine; Philip Clingan; Maximilian J Hochmair; Steven F Powell; Susanna Y-S Cheng; Helge G Bischoff; Nir Peled; Francesco Grossi; Ross R Jennens; Martin Reck; Rina Hui; Edward B Garon; Michael Boyer; Belén Rubio-Viqueira; Silvia Novello; Takayasu Kurata; Jhanelle E Gray; John Vida; Ziwen Wei; Jing Yang; Harry Raftopoulos; M Catherine Pietanza; Marina C Garassino
Journal:  N Engl J Med       Date:  2018-04-16       Impact factor: 91.245

4.  Profiling Preexisting Antibodies in Patients Treated With Anti-PD-1 Therapy for Advanced Non-Small Cell Lung Cancer.

Authors:  Yukihiro Toi; Shunichi Sugawara; Jun Sugisaka; Hirotaka Ono; Yosuke Kawashima; Tomoiki Aiba; Sachiko Kawana; Ryohei Saito; Mari Aso; Kyoji Tsurumi; Kana Suzuki; Hisashi Shimizu; Yutaka Domeki; Keisuke Terayama; Atsushi Nakamura; Shinsuke Yamanda; Yuichiro Kimura; Yoshihiro Honda
Journal:  JAMA Oncol       Date:  2019-03-01       Impact factor: 31.777

5.  Increased reporting of fatal immune checkpoint inhibitor-associated myocarditis.

Authors:  Javid J Moslehi; Joe-Elie Salem; Jeffrey A Sosman; Bénédicte Lebrun-Vignes; Douglas B Johnson
Journal:  Lancet       Date:  2018-03-10       Impact factor: 79.321

6.  First-Line Atezolizumab plus Chemotherapy in Extensive-Stage Small-Cell Lung Cancer.

Authors:  Leora Horn; Aaron S Mansfield; Aleksandra Szczęsna; Libor Havel; Maciej Krzakowski; Maximilian J Hochmair; Florian Huemer; György Losonczy; Melissa L Johnson; Makoto Nishio; Martin Reck; Tony Mok; Sivuonthanh Lam; David S Shames; Juan Liu; Beiying Ding; Ariel Lopez-Chavez; Fairooz Kabbinavar; Wei Lin; Alan Sandler; Stephen V Liu
Journal:  N Engl J Med       Date:  2018-09-25       Impact factor: 91.245

7.  Association of Checkpoint Inhibitor-Induced Toxic Effects With Shared Cancer and Tissue Antigens in Non-Small Cell Lung Cancer.

Authors:  Fiamma Berner; David Bomze; Stefan Diem; Omar Hasan Ali; Mirjam Fässler; Sandra Ring; Rebekka Niederer; Christoph J Ackermann; Petra Baumgaertner; Natalia Pikor; Cristina Gil Cruz; Willem van de Veen; Mübeccel Akdis; Sergey Nikolaev; Heinz Läubli; Alfred Zippelius; Fabienne Hartmann; Hung-Wei Cheng; Gideon Hönger; Mike Recher; Jonathan Goldman; Antonio Cozzio; Martin Früh; Jacques Neefjes; Christoph Driessen; Burkhard Ludewig; Ahmed N Hegazy; Wolfram Jochum; Daniel E Speiser; Lukas Flatz
Journal:  JAMA Oncol       Date:  2019-07-01       Impact factor: 31.777

8.  Efficacy of Nivolumab for Head and Neck Cancer Patients with Primary Sites and Histological Subtypes Excluded from the CheckMate-141 Trial.

Authors:  Yasuyoshi Sato; Naoki Fukuda; Xiaofei Wang; Tetsuya Urasaki; Akihiro Ohmoto; Kenji Nakano; Mayu Yunokawa; Makiko Ono; Yukiko Sato; Hiroki Mitani; Junichi Tomomatsu; Shunji Takahashi
Journal:  Cancer Manag Res       Date:  2020-06-03       Impact factor: 3.989

Review 9.  Treatment of the Immune-Related Adverse Effects of Immune Checkpoint Inhibitors: A Review.

Authors:  Claire F Friedman; Tracy A Proverbs-Singh; Michael A Postow
Journal:  JAMA Oncol       Date:  2016-10-01       Impact factor: 31.777

10.  Intestinal microbiome analyses identify melanoma patients at risk for checkpoint-blockade-induced colitis.

Authors:  Krista Dubin; Margaret K Callahan; Boyu Ren; Raya Khanin; Agnes Viale; Lilan Ling; Daniel No; Asia Gobourne; Eric Littmann; Curtis Huttenhower; Eric G Pamer; Jedd D Wolchok
Journal:  Nat Commun       Date:  2016-02-02       Impact factor: 14.919

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  5 in total

1.  Intestinal Microbiome Associated With Immune-Related Adverse Events for Patients Treated With Anti-PD-1 Inhibitors, a Real-World Study.

Authors:  Wenhui Liu; Fang Ma; Bao Sun; Yiping Liu; Haoneng Tang; Jianquan Luo; Huiqing Chen; Zhiying Luo
Journal:  Front Immunol       Date:  2021-12-16       Impact factor: 7.561

2.  Clinical and molecular parameters associated to pneumonitis development in non-small-cell lung cancer patients receiving chemoimmunotherapy from NADIM trial.

Authors:  Belén Sierra-Rodero; Alberto Cruz-Bermúdez; Ernest Nadal; Yago Garitaonaindía; Amelia Insa; Joaquín Mosquera; Joaquín Casal-Rubio; Manuel Dómine; Margarita Majem; Delvys Rodriguez-Abreu; Alex Martinez-Marti; Javier De Castro Carpeño; Manuel Cobo; Guillermo López Vivanco; Edel Del Barco; Reyes Bernabé Caro; Nuria Viñolas; Isidoro Barneto Aranda; Santiago Viteri; Bartomeu Massuti; Raquel Laza-Briviesca; Marta Casarrubios; Aránzazu García-Grande; Atocha Romero; Fernando Franco; Mariano Provencio
Journal:  J Immunother Cancer       Date:  2021-08       Impact factor: 13.751

3.  The role of autoantibody detection in the diagnosis and staging of lung cancer.

Authors:  Yun Wang; Yang Jiao; Cui-Min Ding; Wu-Zhuang Sun
Journal:  Ann Transl Med       Date:  2021-11

4.  Peripheral Blood Biomarkers Predictive of Efficacy Outcome and Immune-Related Adverse Events in Advanced Gastrointestinal Cancers Treated with Checkpoint Inhibitors.

Authors:  Zhening Zhang; Tong Xie; Changsong Qi; Xiaotian Zhang; Lin Shen; Zhi Peng
Journal:  Cancers (Basel)       Date:  2022-07-31       Impact factor: 6.575

5.  Absolute Lymphocyte Count Predicts Immune-Related Adverse Events in Patients With Non-Small-Cell Lung Cancer Treated With Nivolumab Monotherapy: A Multicenter Retrospective Study.

Authors:  Saeka Egami; Hitoshi Kawazoe; Hironobu Hashimoto; Ryuji Uozumi; Toko Arami; Naomi Sakiyama; Yuichiro Ohe; Hideo Nakada; Tohru Aomori; Shinnosuke Ikemura; Koichi Fukunaga; Masakazu Yamaguchi; Tomonori Nakamura
Journal:  Front Oncol       Date:  2021-05-27       Impact factor: 6.244

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