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World Journal of Gastrointestinal Oncology logoLink to World Journal of Gastrointestinal Oncology
. 2023 Nov 15;15(11):1900–1912. doi: 10.4251/wjgo.v15.i11.1900

Baseline neutrophil-lymphocyte ratio and platelet-lymphocyte ratio appear predictive of immune treatment related toxicity in hepatocellular carcinoma

Sirish Dharmapuri 1, Umut Özbek 2, Hiren Jethra 3, Tomi Jun 4, Thomas U Marron 5, Anwaar Saeed 6, Yi-Hsiang Huang 7, Mahvish Muzaffar 8, Matthias Pinter 9, Lorenz Balcar 10, Claudia Fulgenzi 11, Suneetha Amara 12, Arndt Weinmann 13, Nicola Personeni 14,15, Bernhard Scheiner 16, Tiziana Pressiani 17, Musharraf Navaid 18, Bertram Bengsch 19, Sonal Paul 20, Uqba Khan 21, Dominik Bettinger 22, Naoshi Nishida 23, Yehia Ibrahim Mohamed 24, Arndt Vogel 25, Anuhya Gampa 26, James Korolewicz 27, Antonella Cammarota 28,29, Ahmed Kaseb 30, Peter R Galle 31, Anjana Pillai 32, Ying-Hong Wang 33, Alessio Cortellini 34, Masatoshi Kudo 35, Antonio D’Alessio 36, Lorenza Rimassa 37,38, David James Pinato 39, Celina Ang 40
PMCID: PMC10701235  PMID: 38077640

Abstract

BACKGROUND

A well-recognized class effect of immune checkpoint inhibitors (ICI) is immune-related adverse events (IrAEs) ranging from low grade toxicities to life-threatening end organ damage requiring permanent discontinuation of ICI. Deaths are reported in < 5% of patients treated with ICI. There are, however, no reliable markers to predict the onset and severity of IrAEs. We tested the association between neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) at baseline with development of clinically significant IrAEs (grade ≥ 2) in hepatocellular carcinoma (HCC) patients treated with ICI.

AIM

To test the association between NLR and PLR at baseline with development of clinically significant IrAEs (grade ≥ 2) in HCC patients treated with ICI.

METHODS

Data was extracted from an international database from a consortium of 11 tertiary-care referral centers. NLR = absolute neutrophil count/absolute lymphocyte count (ALC) and PLR = platelet count/ALC. Cutoff of 5 was used for NLR and 300 for PLR based on literature. We also tested the association between antibiotic and steroid exposure to IrAEs.

RESULTS

Data was collected from 361 patients treated between 2016-2020 across the United States (67%), Asia (14%) and Europe (19%). Most patients received Nivolumab (n = 255, 71%). One hundred sixty-seven (46%) patients developed at least one IrAE, highest grade 1 in 80 (48%), grade ≥ 2 in 87 (52%) patients. In a univariable regression model PLR > 300 was significantly associated with a lower incidence of grade ≥ 2 IrAEs (OR = 0.40; P = 0.044). Similarly, a trend was observed between NLR > 5 and lower incidence of grade ≥ 2 IrAEs (OR = 0.58; P = 0.097). Multivariate analyses confirmed PLR > 300 as an independent predictive marker of grade ≥ 2 IrAEs (OR = 0.26; P = 0.011), in addition to treatment with programmed cell death ligand 1 (PD-1)/cytotoxic T lymphocyte-associated protein-4 (OR = 2.57; P = 0.037) and PD-1/tyrosine kinase inhibitor (OR = 3.39; P = 0.01) combinations. Antibiotic use was not associated with IrAE incidence (OR = 1.02; P = 0.954). Patients treated with steroids had a > 2-fold higher incidence of grade ≥ 2 IrAEs (OR = 2.74; P < 0.001), although 74% were prescribed steroids for the treatment of IrAEs.

CONCLUSION

Given that high baseline NLR and PLR are associated with a decreased incidence of IrAEs, lower baseline NLR and PLR may be predictive biomarkers for the appearance of IrAEs in HCC treated with ICI. This finding is in keeping with several studies in solid tumors that have shown that baseline NLR and PLR appear predictive of IrAEs.

Keywords: Neutrophil-lymphocyte ratio, Platelet-lymphocyte ratio, Inflammatory biomarkers, Immunotherapy, Immune toxicity


Core Tip: In this study of hepatocellular carcinoma (HCC) patients treated with immune checkpoint inhibitors (ICI), the association between two biomarkers, neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), and immune-related adverse events (IrAEs) was examined. Data from 361 patients showed that a higher PLR (> 300) was significantly associated with a lower incidence of grade ≥ 2 IrAEs. A trend was observed between a higher NLR (> 5) and lower incidence of grade ≥ 2 IrAEs. Multivariate analyses confirmed PLR as an independent predictive marker for grade ≥ 2 IrAEs. These findings suggest that NLR and PLR could be potential predictive markers for IrAEs in HCC patients receiving ICI treatment.

INTRODUCTION

Hepatocellular carcinoma (HCC) arises in a precancerous milieu of chronic inflammation heralded by oncoviral infection, alcohol consumption or steatohepatitis in up to 90% of patients[1-3]. Systemic inflammatory response driven by pro-inflammatory cytokines such as vascular endothelial growth factor (VEGF), matrix metalloproteinases and interleukin-18 plays a pivotal role in oncogenesis as well as tumor progression and metastasis[3-5].

Immune checkpoint inhibitors (ICI) and their combinations can induce robust and durable anti-tumor responses in a subset of patients with advanced Hepatocellular Carcinoma (aHCC). The IMbrave-150 and HIMALAYA trials both showed significantly improved progression free and overall survival with ICI combinations compared to sorafenib, making atezolizumab/bevacizumab and durvalumab/tremelimumab standard front-line options[6]. ICI monotherapies such as nivolumab and pembrolizumab remain an integral part of the treatment paradigm owing to their safety, tolerability and improved quality of life over tyrosine kinase inhibitors[6-9]. With the advent of ICI as the mainstay of treatment of aHCC, considerable interest has been generated towards studying the relationship between inflammation and its impact on outcomes of patients treated with ICIs.

A well-recognized class effect of these drugs is immune treatment-related adverse events (IrAEs) ranging from low grade toxicities managed supportively with or without steroids or other immunosuppressive agents to potentially life-threatening end organ damage requiring hospitalization and permanent discontinuation of ICI. Treatment related deaths are reported in less than 5% of patients treated with ICIs [Yervoy® (ipilimumab) prescribing information. Bristol-Myers Squibb Company. Princeton, NJ, United States (2013)][10-12]. At present, there are no reliable markers to predict the onset and severity of IrAEs. This study was undertaken with the objective of examining the relationship between inflammatory ratios such as neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) with the incidence of IrAEs in aHCC patients treated with ICIs. In addition, given recent data demonstrating that steroids can modulate NLR[13] and that antibiotics may increase the risk of IrAEs[14,15], we also aimed to explore the interaction between these drugs, NLR, PLR and IrAEs.

MATERIALS AND METHODS

Patients

Data was extracted from a large international database from a consortium of 11 tertiary-care referral centers located in the United States, Europe and Asia. To be eligible patients had to have: (1) A diagnosis of HCC made by histopathology or imaging criteria according to international guidelines; (2) be candidate for ICI monotherapy or combinations for HCC; (3) not amenable to curative or loco-regional therapy following local multidisciplinary tumor board review, and (4) have measurable disease according to RECIST 1.1 criteria. Between June 2016 and September 2020, 427 patients were included in the database. In our final analysis we excluded 66 patients due to incomplete IrAE data (final n = 361). Of the 361 patients included in the final analysis, 242 (67%) were treated in the United States, 51 (14%) in Asia and 68 (19%) in Europe. Institutional review board approval was obtained at Mount Sinai Hospital and in each participating institution. All study-related procedures and data collection were conducted in accordance with the Declaration of Helsinki and in accordance with good clinical practice.

Methods

NLR was calculated as the ratio of absolute neutrophil count to absolute lymphocyte count (ALC), and PLR was calculated as the ratio of platelet count to ALC from blood draws at baseline. A cutoff of 5 was used for NLR groups and 300 for PLR based on literature[16-20]. Information regarding IrAEs was extracted by manual review of clinical documentation at each cycle and records of hospitalizations. Each IrAE was defined and documented per the National Cancer Institute Common Terminology Criteria for Adverse Events (NCI-CTCAE) v5.0 per the treating physician and validated by a member of the study group. Grade ≥ 2 IrAEs were considered clinically significant since these patients typically require close monitoring and/or initiation of corticosteroid therapy and/or permanent discontinuation of ICI, while grade 1 toxicities only require supportive measures.

Patients were considered exposed to corticosteroid if > 10 mg of prednisone (or equivalent) was administered for > 24 h within 30 d prior to or concomitantly until permanent cessation of immunotherapy. Similarly, patients were considered to have been exposed to antibiotic therapy if they were received within 30 d from starting ICI therapy and up to 30 d after cycle 1 of immunotherapy were based on literature which suggests early antibiotic exposure as a detrimental factor influencing ICI efficacy[21,22].

Statistical analysis

Descriptive statistics were calculated to summarize baseline status, including demographics, disease characteristics, and treatment characteristics. Univariable logistic models were conducted to identify associations between adverse events, inflammatory scores and other baseline characteristics. Continuous variables were presented as medians and minimum-maximum values, and categorical variables as frequency and proportions. Clinically relevant variables such as baseline alpha-fetoprotein (AFP), barcelona clinic liver cancer stage, presence of cirrhosis, child-turcotte pugh class, eastern cooperative oncology group performance status, etiology of chronic liver disease, and use of corticosteroids and antibiotics for IrAE management were considered as predictors of toxicity and were analyzed by univariable and multivariable logistic regression models. P values of less than 0.05 were considered to indicate statistical significance. All analyses were performed using R statistical package version 4.0.3 (R Core Team 2020)[23].

RESULTS

Patient and disease characteristics

A total of 361 patients had documented IrAE data and were included in the final analysis, of whom 242 (67%) were treated in the United States, 51 (14%) in Asia and 68 (19%) in Europe (Figure 1). Table 1 shows the breakdown of key clinicopathologic characteristics in patients who had none or grade < 2 and grade ≥ 2 IrAEs. A majority had underlying cirrhosis (n = 263, 73%). Two hundred and seventy-six (76%) patients had child-pugh class A and 74 (20%) had class B liver function. The most common etiologies were hepatitis C virus infection in 153 (42%) patients, followed by hepatitis B virus infection in 77 (21%). Most patients received programmed cell death ligand 1 (PD-1) monotherapy (n = 305, 84%; nivolumab = 255; pembrolizumab = 20), followed by combination PD-1/cytotoxic T lymphocyte-associated protein-4 (CTLA-4) (n = 28, 8%), PD-1/tyrosine kinase inhibitor (TKI) (n = 24, 7%) and others in 4 (1%).

Figure 1.

Figure 1

Study flow chart. IrAEs: Immune-related adverse events; NLR: Neutrophil-lymphocyte ratio; PLR: Platelet-lymphocyte ratio.

Table 1.

Baseline patient characteristics, n (%)

Variable
Category
No AEs or AEs grade < 2
AEs grade ≥ 2
OR
95%CI
P value
n = 361 274 (76)1 87 (24)
Age (Median) 65 64 0.99 (0.97, 1.01) 0.450
Sex Male 222 (61) 65 (18) 1.00
Female 52 (14) 22 (7) 1.44 (0.82, 2.56) 0.206
AFP (Median) 115 29 1.00 (1, 1) 0.850
Known cirrhosis Yes 201 (56) 62 (17) 0.90 (0.53, 1.54) 0.702
No 73 (20) 25 (7) 1.00
Known PVT Yes 61 (17) 18 (5) 0.60 (0.33, 1.1) 0.100
No 124 (34) 61 (17) 1.00
NLR NLR ≤ 5 122 (34) 62 (17) 1.00
NLR > 5 54 (15) 16 (5) 0.58 (0.31, 1.1) 0.096
Unknown 98 (27) 9 (2)
PLR PLR ≤ 300 145 (40) 72 (20) 1.00
PLR > 300 31 (9) 6 (2) 0.39 (0.16, 0.98) 0.044
Unknown 98 (27) 9 (2)
Child pugh class A 202 (56) 74 (20) 1.00
B 61 (17) 13 (4) 0.58 (0.3, 1.12) 0.105
C 7 (2) 0 (0) 0.00 (0, Inf) 0.986
Unknown 4 (1) 0 (0)
HCV Yes 112 (31) 41 (11) 1.29 (0.79, 2.09) 0.305
No 162 (45) 46 (13) 1.00
HBV Yes 59 (16) 18 (5) 0.95 (0.53, 1.72) 0.867
No 215 (60) 69 (19) 1.00
EtOH Yes 48 (13) 17 (5) 1.14 (0.62, 2.11) 0.669
No 226 (63) 70 (19) 1.00
NASH Yes 37 (10) 8 (2) 0.65 (0.29, 1.45) 0.292
No 237 (66) 79 (22) 1.00
BCLCs A 9 (2) 1 (1) 1.00
B 66 (18) 25 (7) 3.41 (0.41, 28.31) 0.256
C 194 (53) 61 (17) 2.83 (0.35, 22.79) 0.328
D 4 (1) 0 (0) 0.00 (0, Inf) 0.985
Unknown 1 (1) 0 (0)
Extra Hepatic Disease Yes 100 (28) 36 (10) 0.73 (0.43, 1.23) 0.239
No 87 (24) 43 (12) 1.00
Unknown 87 (24) 8 (2)
ECOG 0 168 (47) 77 (21) 1.00
1 18 (5) 2 (1) 0.24 (0.05, 1.07) 0.062
Unknown 88 (24) 8 (2)
Steroid use Yes 57 (16) 37 (10) 2.74 (1.61, 4.64) 0.0002
No 190 (53) 45 (12)
Unknown 27 (7) 5 (2)
Antibiotic use Yes 42 (12) 14 (4) 1.01 (0.52, 1.98) 0.95
No 205 (56) 67 (19)
Unknown 27 (7) 6 (2)
Treatment PD-1 244 (68) 61 (17)
PD-1/CLTA-4 16 (4) 12 (3) 3.00 (1.35, 6.67) 0.007
PD-1/TKI 12 (3) 12 (3) 4.00 (1.71, 9.34) 0.001
PD-1/other 1 (0) 1 (0) 4.00 (0.25, 64.86) 0.329
CTLA-4 1 (0) 1 (0) 4.00 (0.25, 64.86) 0.32
1

Of 274 (76%) with no adverse events (AEs) or AEs grade < 2, 80 (22%) had grade 1 AEs and 194 (54%) had no AEs.

OR: Odds ratio; CI: Confidence Interval; AEs: Adverse events; AFP: Alpha-fetoprotein; ECOG: Eastern cooperative oncology group; BCLCs: Barcelona clinic liver cancers; NASH: Nonalcoholic steatohepatitis; HBV: Hepatitis B virus; HCV: Hepatitis C virus infection; PLR: Platelet-lymphocyte ratio; NLR: Neutrophil-lymphocyte ratio; PVT: Portal vein thrombosis; PD-1: Programmed cell death ligand 1; CLTA-4: Cytotoxic T-lymphocyte antigen-4; TKI: Tyrosine kinase inhibitor.

IrAEs

One hundred and sixty-seven (46%) patients were documented as having developed at least one IrAE, highest grade 1 in 80 (48%), grade 2 or higher in 87 (52 %) patients. There was one treatment related death reported. The most common IrAE was hepatitis (41%) followed by constitutional symptoms including fatigue, anorexia, chills (40%). Table 2 details the IrAE incidence by groups and severity. No significant differences in age, sex, risk factors including Ethanol, hepatitis B and C, presence of cirrhosis, portal vein thrombosis and median AFP were noted between patients who developed IrAEs of grade ≥ 2 and those who did not.

Table 2.

Immune-related adverse events incidence by groups1, n (%)

IrAE by organ system n = 167
Grade < 2
Grade ≥ 2
Dermatological 43 (26) 15 (9)
Colitis 19 (11) 10 (6)
Hepatitis 40 (24) 29 (17)
Endocrine 18 (11) 11 (7)
Polyarthritis 3 (1) 1 (0)
Pneumonitis 10 (6) 9 (5)
Constitutional 52 (31) 15 (9)
Other 15 (9) 22 (13)
1

The incidence of immune-related adverse events (IrAEs) has been presented by patient groups categorized as those with IrAEs of grade < 2 and those with IrAEs of grade ≥ 2, stratified by the affected organ systems. IrAE: Immune-related adverse events.

Treatment with combinations PD-1/CTLA-4 and PD-1/TKI were associated with a 3 (OR = 3; P = 0.007) and 4-fold (OR = 4; P = 0.001) higher incidence of grade ≥ 2 IrAEs over PD-1 only. In a multivariable regression analysis, treatment with both PD-1/CTLA-4 (OR = 2.57; P = 0.037) and PD-1/TKI (OR = 3.39; P = 0.01) were independently associated with incidence of grade ≥ 2 IrAEs.

Relationship between NLR, PLR and IrAEs

NLR was ≤ 5 in 184 (51%) patients and > 5 in 70 (20%) patients. The proportion of patients with an NLR < 5 or > 5 did not differ significantly between the IrAE groups. PLR was ≤ 300 in 217 (60%) and > 300 in 37 (11%) patients (Table 1). In a univariable regression model, baseline PLR > 300 was significantly associated with a lower incidence of grade ≥ 2 IrAEs (OR = 0.40; P = 0.044). Similarly, NLR > 5 was associated with a trend toward lower incidence of grade ≥ 2 IrAEs (OR = 0.58; P = 0.097). The multivariable regression analysis showed an independent association between PLR > 300 (OR = 0.26; P = 0.011) with a lower incidence of grade 2 or higher IrAEs (Table 3).

Table 3.

Univariable and multivariable models to predict grade 2 or higher adverse events


Odds ratio
95%CI
P value
Univariable model:
PLR (> 300) 0.40 (0.16, 0.98) 0.044
NLR (> 5) 0.58 (0.31, 1.10) 0.097
Steroid use 2.74 (1.62, 4.64) < 0.001
Antibiotics use 1.02 (0.52, 1.98) 0.954
Treatment
PD-1 CLTA-4 3 (1.35, 6.67) 0.007
PD-1 TKI 4 (1.71, 9.34) 0.001
Other1 4 (0.55, 28.97) 0.170
Multivariable model:
PLR (> 300) 0.26 (0.09, 0.74) 0.011
Steroid use 4.43 (2.21, 8.88) < 0.001
Treatment
PD-1/CLTA-4 2.57 (1.06, 6.24) 0.037
PD-1/TKI 3.39 (1.34, 8.56) 0.01
Other1 3.50 (0.21, 57.86) 0.381
1

Other include single agent cytotoxic t-lymphocyte antigen-4 and other immune checkpoint inhibitors/tyrosine kinase inhibitor combinations. CI: Confidence interval; PLR: Platelet-lymphocyte ratio; NLR: Neutrophil-lymphocyte ratio; PD-1: Programmed cell death ligand 1; CLTA-4: Cytotoxic t-lymphocyte antigen-4; TKI: Tyrosine kinase inhibitor.

Impact of concomitant medications on NLR, PLR and IrAEs

A total of 94 patients received corticosteroids, including 47 patients who developed an IrAE. Steroid use was associated with a greater than 2-fold higher incidence of grade ≥ 2 IrAEs (OR = 2.74; P < 0.001) and maintained a significant association in a multivariable regression analysis (OR = 4.43; P < 0.001). Notably, the indication for steroids in 35 (74%) of the 47 patients who developed an IrAE, was for the treatment of IrAEs.

Fifty-six patients received antibiotics for treatment of an infection or as pre-transarterial chemoembolisation prophylaxis. Twenty-nine of these patients had documented IrAEs. Antibiotics use was not associated with IrAE incidence (OR = 1.02; P = 0.954) (Table 3).

NLR and PLR did not differ significantly between patients who did and did not receive steroids [(NLR; HR = 1.03; P = 0.69) (PLR; HR = 1.04; P = 0.53)] or antibiotics [(NLR; HR = 1.13; P = 0.35) (PLR; HR = 1.21; P = 0.10)].

DISCUSSION

ICIs induce a diverse array of toxicities, presenting as single organ inflammatory disease such as hepatitis to multi system toxicity[24]. Most IrAEs present within the first few months of therapy, though they can manifest throughout the course of treatment[25,26]. They most frequently affect barrier tissues such as the skin (-20%)[26], gastrointestinal tract (-50%)[27] and the respiratory epithelium (-35%), followed by endocrine organs (6%-12%)[28] and less frequently cause joint inflammation (-10%), neurological, cardiovascular or hematologic toxicity (1%-5%). Treatment related deaths are also reported in < 5% of patients treated with ICI[24,25].

Currently, there are no prospectively validated biomarkers to predict the onset or the severity of IrAEs though several have been studied such as preexisting autoimmune disease, body-mass index, and gut microbiome among others[29,30]. Onset of IrAEs however, closely correlates with clinical benefit from ICI therapy based on several reports across disease types[31-38], including from our consortium[39]. Conversely, inflammatory ratios such as NLR and PLR have consistently demonstrated an inverse relationship with response and survival outcomes from ICI therapy[40,41]. Considering the correlation between these inflammatory ratios and IrAEs, as well as the broad accessibility, ease of execution, and rapidity of these tests, it is pertinent to study the relationship between these inflammatory ratios and IrAEs.

Our study demonstrates, for the first time, a potential inverse association between baseline PLR and NLR with incidence of clinically significant (i.e., grade ≥ 2) IrAEs in aHCC treated with ICI, particularly for PLR which was an independent predictive marker of grade ≥ 2 IrAEs. Such an association has also been described in other diseases, particularly in non-small cell lung cancer[42-44]. While the individual relationships between NLR, PLR, IrAE incidence and ICI response directionally align with the existing literature, the mechanisms linking the systemic inflammatory response and the development of IrAEs require further study.

An elevated NLR in a chronic inflammatory state such as cancer, has been shown to be associated with an increased concentration of polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs) in the peripheral blood[45] as well as tumor-infiltrating neutrophils[43]. The role of PMN-MDSCs in immune tolerance by means of upregulated expression of arginase-1, increased production of reactive oxygen species, Nitrous Oxide, prostaglandin E2 among others is well described in literature[46]. It may therefore be reasonable to hypothesize that the suppression of the anti-tumor T lymphocyte responses in the tumor microenvironment heralded by PMN-MDSCs likely contributes to the poor clinical outcomes and a lower incidence of IrAEs. Additionally, Lymphocytes are an integral components in the immune response against tumors, and an elevated presence of tumor-infiltrating lymphocytes within the neoplastic tissue holds prognostic value, correlating with improved survival outcomes[47]. Patients with higher NLR and PLR have a state of relative lymphopenia, signifying an impaired immune response. This likely accounts for both a reduced incidence of IrAEs as well as poorer prognostic outcomes on ICI.

The mechanistic rationale for the predictive nature of PLR is less well understood, though may be partly explained by the hypercortisolemic state of chronic inflammatory disease[48]. Hypercortisolemia results in elevated platelet counts, heightened platelet activation, and concurrently lowers lymphocyte counts[49-51]. Thrombocytosis has been demonstrated to exert pro-tumor effects, facilitating tumor progression and metastasis through the production of VEGF and platelet-derived growth factor production. These factors subsequently recruit neutrophils and monocytes, a phenomenon that ultimately culminates in adverse prognostic outcomes[40,52]. Beyond their role in hemostasis, platelets modulate the immune response via both pro and anti-inflammatory mechanisms. Platelets have been shown to express functional CD154, a molecule critical for primary and memory T cell responses[53]. In addition to acting as antigen presenting cells[54], platelets also augment CD8 T cell responses via CD154 mediated secondary signaling[55]. Their anti-inflammatory effect is exerted via platelet-derived cytokine TGF β which inhibits FoxP3(-) T-cells, among other mechanisms[56]. The vast role of platelets in immune modulation remains underrepresented in literature.

Consistent with published literature[24,57], our study shows a 2 to 3-fold higher incidence of grade ≥ 2 IrAEs in patients receiving ICI combinations over monotherapy. In the HIMALAYA trial, the incidence of any grade toxicity was 76% in the combination arm, as opposed to 52% in the durvalumab only arm[58]. Similarly, combination Atezolizumab-bevacizumab led to any grade toxicity rate of 98% in the IMbrave-150 study[6]. Understanding how to balance the toxicity of ICI and its combinations, while maximizing its anti-tumor activity remains a critical unmet need and may hinge on identifying early predictors of impending toxicity.

Our study also demonstrates that the use of steroids was strongly associated with a 2-fold increase in the incidence of grade > 2 IrAEs. However, of the 47 patients with IrAEs who received steroids, 74% were prescribed them for treatment of IrAEs. Thus, the association is likely explained by steroids being used to treat IrAEs and does not indicate a causal relationship. Due to the small number of patients treated with steroids, a distinct analysis of the impact of steroid exposure before ICI therapy vs its use in the management of IrAEs is not feasible.

Antibiotic exposure has been shown to impair efficacy of ICI and increase the risk of IrAEs by inducing loss of gut microbial diversity and dysbiosis[59,60]. Our study showed no association between antibiotic exposes and IrAE risk. Another study published from this consortium also showed an improved progression free survival in patients with early antibiotic exposure while on ICI therapy[21], contrasting with studies in other solid tumors. HCC is associated with an immunosuppressive microbiome in the setting of underlying cirrhosis, which may explain the differential effect of antibiotics compared to other solid tumors[21]. We also noted no significant differences in NLR and PLR between patients who did and did not receive steroids and antibiotics.

We understand the limitations of our study include its retrospective design, a relatively small sample size and lack of correlative studies. Our non-prospective design precludes definitive conclusions regarding the predictive value of NLR and PLR but can be considered hypothesis-generating and warrants further validation in larger, prospective cohorts. Despite the fact that most patients in our study were treated with ICI monotherapy, which contrasts with the current standard of care of atezolizumab-bevacizumab, the findings remain significant as ICIs are a crucial component of the treatment paradigm for HCC. Data were collected and entered manually; some missing IrAE data were noted in our analyses. History regarding other chronic inflammatory conditions that could affect NLR and PLR were not collected during chart review and therefore cannot be evaluated. The influence of other confounding factors such as thrombocytopenia from chronic liver disease on NLR and PLR remains a subject of investigation to be explored in a larger prospective cohort. The documentation of IrAEs was based on the NCI-CTCAE v5.0 per the treating physician and validated by a member of the study group, however inconsistencies may exist due to the subjective nature of some groups of IrAEs.

In conclusion, our study demonstrates an interesting association between baseline inflammatory ratios and onset of IrAEs in a real-world cohort of HCC patients, although this conclusion warrants prospective validation. Given that high baseline NLR and PLR are associated with a lower incidence of clinically significant IrAEs, lower baseline NLR and PLR may be predictive biomarkers for the appearance of IrAEs in HCC treated with ICI. These findings have potentially important implications, as identifying and monitoring patients at high risk of developing IrAEs may help decrease mortality and morbidity associated with IrAE. Our findings also provide real world evidence for increased toxicity of ICI combinations over monotherapy in HCC.

CONCLUSION

In conclusion, our study demonstrates an interesting association between baseline inflammatory ratios and onset of IrAEs in a real-world cohort of HCC patients, although this conclusion warrants prospective validation. Given that high baseline NLR and PLR are associated with a lower incidence of clinically significant IrAEs, lower baseline NLR and PLR may be predictive biomarkers for the appearance of IrAEs in HCC treated with ICI. These findings have potentially important implications, as identifying and monitoring patients at high risk of developing IrAEs may help decrease mortality and morbidity associated with IrAE. Our findings also provide real world evidence for increased toxicity of ICI combinations over monotherapy in HCC.

ARTICLE HIGHLIGHTS

Research background

Immune checkpoint inhibitors (ICI) are known to cause immune-related adverse events (IrAEs) ranging from mild to severe, sometimes leading to treatment discontinuation, with less than 5% of patients experiencing fatal outcomes. Nevertheless, there are currently no dependable markers to forecast the occurrence and seriousness of IrAEs.

Research motivation

Nevertheless, there are currently no dependable markers to forecast the occurrence and seriousness of IrAEs.

Research objectives

In this study, we examined whether baseline neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) are linked to the development of clinically significant IrAEs (grade ≥ 2) in patients with hepatocellular carcinoma (HCC) undergoing ICI treatment.

Research methods

Data was gathered from a global database comprising data from 11 specialized medical centers. NLR was calculated as the absolute neutrophil count divided by the absolute lymphocyte count (ALC), while PLR was calculated as the platelet count divided by ALC, with predefined cutoff values of 5 for NLR and 300 for PLR as per existing literature. Additionally, we explored the connection between the use of antibiotics and steroids with the occurrence of IrAEs.

Research results

Data was collected from 361 patients treated between 2016 and 2020 across the United States (67%), Asia (14%), and Europe (19%), with the majority receiving Nivolumab (71%). Of these patients, 46% experienced at least one IrAE, with 48% being grade 1 and 52% grade ≥ 2. In a univariable regression analysis, a PLR > 300 was significantly linked to a lower incidence of grade ≥ 2 IrAEs (OR = 0.40; P = 0.044), while there was a trend towards lower incidence with NLR > 5 (OR = 0.58; P = 0.097). Multivariate analysis confirmed PLR > 300 as an independent predictor of grade ≥ 2 IrAEs (OR = 0.26; P = 0.011), along with treatment involving programmed cell death ligand 1 (PD-1)/cytotoxic T lymphocyte-associated protein-4 (OR = 2.57; P = 0.037) and PD-1/tyrosine kinase inhibitor combinations (OR = 3.39; P = 0.01). The use of antibiotics did not show a significant association with IrAE incidence (OR = 1.02; P = 0.954), while patients treated with steroids had more than a twofold increased risk of grade ≥ 2 IrAEs (OR = 2.74; P < 0.001), although a majority of them received steroids for IrAE treatment.

Research conclusions

Considering that elevated baseline NLR and PLR are correlated with a reduced occurrence of IrAEs, lower baseline NLR and PLR levels could potentially serve as predictive biomarkers for the development of IrAEs in HCC patients undergoing ICI treatment.

Research perspectives

Considering that elevated baseline NLR and PLR are correlated with a reduced occurrence of IrAEs, lower baseline NLR and PLR levels could potentially serve as predictive biomarkers for the development of IrAEs in HCC patients undergoing ICI treatment.

Footnotes

Institutional review board statement: This study was reviewed and approved by the Ethics Committee of the Mount Sinai Health System and locally by the ethical committee of each participating site.

Informed consent statement: The retrospective nature of the study, along with the absence of patient identifiers and most patients being deceased, made it impracticable to obtain individual consent from the patients included in the analysis.

Conflict-of-interest statement: Rimassa L report consulting fees from AstraZeneca, Basilea, Bayer, BMS, Eisai, Elevar Therapeutics, Exelixis, Genenta, Hengrui, Incyte, Ipsen, IQVIA, Jazz Pharmaceuticals, MSD, Nerviano Medical Sciences, Roche, Servier, Taiho Oncology, Zymeworks; lecture fees from AstraZeneca, Bayer, BMS, Eisai, Incyte, Ipsen, Merck Serono, Roche, Servier; travel expenses from AstraZeneca; research grants (to institution) from Agios, AstraZeneca, BeiGene, Eisai, Exelixis, Fibrogen, Incyte, Ipsen, Lilly, MSD, Nerviano Medical Sciences, Roche, Zymeworks. Pressiani T reports consulting fees from Bayer, Ipsen, AstraZeneca; travel expenses from Roche; research grants (to institution) from Roche, Bayer, Astra Zeneca. Personeni N reports consulting fees from Amgen, Merck KGaA, Boehringer Ingelheim, IQVIA, Servier, Sanofi Aventis; lecture fees from Janssens, Astra Zeneca, Incyte; research grants (to institution) from Servier, Basilea; travel expenses from Amgen, Servier. Pinter M is an investigator for Bayer, BMS, Lilly, and Roche, he received speaker honoraria from Bayer, BMS, Eisai, and MSD, he is a consultant for Bayer, BMS, Ipsen, Eisai, Lilly, Roche, and MSD, and he received travel support from Bayer, BMS, and Roche. Scheiner B received travel support from AbbVie, Ipsen and Gilead. Bettinger D received consulting fees from Bayer Healthcare, Boston Scientific, and Shionogi. Lectures: Falk Foundation. A.C. received consulting fees from MSD, BMS, AstraZeneca, and Roche; speakers’ fee from AstraZeneca, MSD, Novartis, and Astellas. Pinato DJ received lecture fees from ViiV Healthcare and Bayer Healthcare, and travel expenses from BMS and Bayer Healthcare; consulting fees for Mina Therapeutics, EISAI, Roche, and Astra Zeneca; and received research funding (to institution) from MSD and BMS. Saeed A receives consulting fee from AstraZeneca; Bristol-Myers Squibb; Daiichi Sankyo/Astra Zeneca; Exelixis; Five Prime Therapeutics; Pfize, speakers fee from Daiichi Sankyo/Astra Zeneca and research funding from Actuate Therapeutics (Inst); Astellas Pharma (Inst); AstraZeneca/MedImmune (Inst); Bristol-Myers Squibb (Inst); Clovis Oncology (Inst); Daiichi Sankyo/UCB Japan (Inst); Exelixis (Inst); Five Prime Therapeutics (Inst); KAHR Medical (Inst); Merck Sharp and Dohme (Inst); Seattle Genetics (Inst). Khan U receives honoraria from Cardinal Health, consulting fee from Bard Peripheral Vascular and travel expenses paid for by Bard Peripheral Vascular; Cardinal Health. Huang YH is a consultant for Bayer; Bristol-Myers Squibb; Eisai; Gilead Sciences; Lilly; MSD; Roche and received speaker honoraria from Bayer; Bristol-Myers Squibb; Eisai; Gilead Sciences; Lilly; MSD; Roche. Kesab AO receives honoraria from AstraZeneca; Bayer Health; Bristol-Myers Squibb; Eisai; Exelixis; Genentech/Roche; Merck and research funding from Adaptimmune (Inst); Bayer/Onyx (Inst); Bristol-Myers Squibb (Inst); Genentech (Inst); Hengrui Pharmaceutical (Inst); Merck (Inst). Pillai A received consulting fee from AstraZeneca; Eisai; Exelixis; Genentech; Replimune, research funding from Target Pharmasolutions and speaker honoraria from Simply Speaking PAH. All remaining authors have declared no conflicts of interest.

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Peer-review started: May 21, 2023

First decision: August 15, 2023

Article in press: October 23, 2023

Specialty type: Oncology

Country/Territory of origin: United States

Peer-review report’s scientific quality classification

Grade A (Excellent): A

Grade B (Very good): B

Grade C (Good): C

Grade D (Fair): D

Grade E (Poor): 0

P-Reviewer: Dang SS, China; Liu K, China; Șurlin VM, Romania; Wu SZ, China S-Editor: Qu XL L-Editor: A P-Editor: Qu XL

Contributor Information

Sirish Dharmapuri, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States. sirish.dharmapuri@gmail.com.

Umut Özbek, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.

Hiren Jethra, Department of Data Analytics Harrisburg, Harrisburg University of Science and Technology, Harrisburd, PA 17101, United States.

Tomi Jun, SEMA4, Stamford, CT 06902, United States.

Thomas U Marron, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.

Anwaar Saeed, Division of Medical Oncology Kansas, University of Kansas Cancer Center, Kansas, MO 66160, United States.

Yi-Hsiang Huang, Division of Gastroenterology and Hepatology, Taipei Veterans General Hospital, Taipei 11217, Taiwan.

Mahvish Muzaffar, Department of Internal Medicine, Brody School of Medicine, East Carolina University, Greenville, NC 27858, United States.

Matthias Pinter, Department of Internal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna 1090, Austria.

Lorenz Balcar, Department of Internal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna 1090, Austria.

Claudia Fulgenzi, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital London, London W12 0HS, United Kingdom.

Suneetha Amara, Department of Internal Medicine, Brody School of Medicine, East Carolina University, Greenville, NC 27858, United States.

Arndt Weinmann, Department of Hepatology, Johannes Gutenberg-University Medical Centre, Niedersachsen 30625, Germany.

Nicola Personeni, Medical Oncology Unit, ASST Garda, Via Lungomella Valsecchi, Brescia, Manerbio 25025, Italy; Medical Oncology and Hematology Unit, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Milan, Rozzano 20089, Italy.

Bernhard Scheiner, Department of Internal Medicine III, Division of Gastroenterology and Hepatology, Medical University of Vienna, Vienna 1090, Austria.

Tiziana Pressiani, Medical Oncology and Hematology Unit, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Milan, Rozzano 20089, Italy.

Musharraf Navaid, Department of Internal Medicine, Brody School of Medicine, East Carolina University, Greenville, NC 27858, United States.

Bertram Bengsch, Department of Medicine II, Univ Med Ctr Freiburg, Hugstetter Str 55, University Hospital Freiburg, Freiburg D-79106, Germany.

Sonal Paul, Department of Oncology Baltimore, LifeBridge Health, Baltimore, MD 21215, United States.

Uqba Khan, Division of Hematology and Oncology, Weill Cornell Medical College, NY 10065, United States.

Dominik Bettinger, Department of Medicine II, Univ Med Ctr Freiburg, Hugstetter Str 55, University Hospital Freiburg, Freiburg D-79106, Germany.

Naoshi Nishida, Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka 577-8502, Japan.

Yehia Ibrahim Mohamed, Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.

Arndt Vogel, Department of Gastroenterology Hepatology and Endocrinology, HannoverArndt Vogel, Medical School Hannover, Carl-Neubergstr., Hannover 30659, Germany.

Anuhya Gampa, Department of Hepatology, Rush University Medical Group 1725 W Harrison St Ste 158, Chicago, IL 60612, United States.

James Korolewicz, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital London, London W12 0HS, United Kingdom.

Antonella Cammarota, Medical Oncology and Hematology Unit, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Milan, Rozzano 20089, Italy; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Milan, Pieve Emanuele 20072, Italy.

Ahmed Kaseb, Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.

Peter R Galle, Department of Internal Medicine I and Cirrhosis Center Mainz, University Medical Center Mainz, Johannes Gutenberg Univ Mainz, Med Klin and Poliklin, Mainz D-55131, Germany.

Anjana Pillai, Department of Gastroenterology, Hepatology, and Nutrition, University of Chicago Medical Center, Chicago, IL 60637, United States.

Ying-Hong Wang, Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States.

Alessio Cortellini, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital London, London W12 0HS, United Kingdom.

Masatoshi Kudo, Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka 577-8502, Japan.

Antonio D’Alessio, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital London, London W12 0HS, United Kingdom.

Lorenza Rimassa, Medical Oncology and Hematology Unit, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Milan, Rozzano 20089, Italy; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Milan, Pieve Emanuele 20072, Italy.

David James Pinato, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital London, London W12 0HS, United Kingdom.

Celina Ang, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.

Data sharing statement

No additional data are available.

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