Impact of early inflammatory cytokine elevation after commencement of PD-1 inhibitors to predict efficacy in patients with non-small cell lung cancer

Blood-based biomarkers in soft tissue sarcoma: Implications for immune checkpoint inhibitor therapy

Soft tissue sarcoma (STS) is a rare and heterogeneous cancer, comprising approximately 1% of all adult cancers and 7%-15% of all childhood cancers. In the advanced stages, chemotherapy remains the standard-of-care, but efficacy is limited, with a response rate of 15%-30%, and responses are often short-lived, with median progression-free survival typically of 6 months. Moreover, patients with advanced or metastatic STS have a median overall survival of only 18-24 months. Immune checkpoint inhibitors (ICI) have revolutionized the treatment of various cancers including melanoma and non-small cell lung cancer (NSCLC). Emerging evidence from recent clinical trials indicates that certain STS subtypes may be amenable to immunotherapy. A critical challenge, however, is identifying biomarkers that can accurately predict and enable monitoring of ICI responses, to enable better patient selection and to improve outcomes. This narrative review highlights the current research gap in the treatment of STS patients with ICI therapy, particularly the absence of reliable blood-based biomarkers to predict ICI response. In this review, we examine current clinical trials investigating the efficacy of ICI therapy in patients with STS and summarise circulating immune-related prognostic biomarkers in STS, including haematological indices, peripheral blood mononuclear cells, circulating proteins and DNA, and evaluate their potential as predictive biomarkers for ICI therapy. We propose that these immune-associated molecules may serve as predictive biomarkers to differentiate and monitor ICI response, thus presenting opportunities for personalised treatment for patients with STS.

Frontline pemetrexed and cisplatin based-chemotherapy combined with NRT promoted the antitumor in a mouse model of lung carcinoma

The efficacy of neoantigen-reactive T cells (NRT) therapy in solid tumors, encompassing aspects such as infiltration, recognition, cytotoxicity, and enduring persistence, is notably influenced by the immunological microenvironment. This study endeavors to investigate whether the co-administration of pemetrexed and cisplatin augments the therapeutic efficacy of NRT therapy in lung cancer. Neoantigens were predicted using a comprehensive analysis of mutation data from Lewis lung carcinoma cells and mouse tail tissues. The immunogenicity of NRT cells was assessed through flow cytometry and IFN-γ ELISpot assays. A mouse model of NSCLC was used to investigate the anti-tumor effects of NRT combined with chemotherapy. The combination of NRT cells and chemotherapy significantly inhibited tumor growth in a mouse model, increased CD3+/CD137+ T cells to promote IFN-γ secretion from NRT cells, and up-regulated the levels of inflammatory cytokine proteins including IFN-γ, TNF, IL-6 and IL-10. Immunofluorescence analysis confirmed increased T-cell infiltration in tumor tissues without adverse effects on vital organs. In addition, transcriptome analyses indicated that the tumor microenvironment was altered to favor M1-like macrophages with an increased M1/M2 ratio, creating a pro-inflammatory environment. The integration of NRT with frontline chemotherapy for lung cancer could yield profoundly ideal therapeutic outcomes.

Correlation of immune profiling and exceptional response to immune checkpoint inhibitor in a patient with head and neck cancer

ABSTRACT

Immune checkpoint inhibitors (ICIs) have revolutionized the field of cancer therapy and it is a huge step forward in the treatment of various cancers including head and neck cancer. Nivolumab, an anti-PD-1 monoclonal antibody, reportedly has improved overall survival in head and neck cancer, yet only a subset of patient population benefit from it. Tissue-based markers such as PD-L1expression positive, tumor mutation burden-high, and microsatellite instability-high are widely believed to be a biomarker for ICIs such as nivolumab in solid tumors. However, due to the low prevalence of microsatellite instability-high and tumor mutation burden-high in most cancers and PD-L1 negative tumor responding well to ICIs, it tends to be insufficient to identify whether patients should receive ICIs as per this biomarker alone. Mechanism of response to checkpoint inhibitor therapy is unclear and hence studying the role of immune cells and pathways involved is important. The role played by peripheral blood parameters remains ambiguous. Here in, we present a case of an 85-year-old patient with advanced carcinoma buccal mucosa who was treated with Nivolumab after failure of chemotherapy and radiotherapy. Considering the limitations of tissue-based biomarkers to predict response to ICIs, we aimed to identify which blood-based biomarkers correlated with the response to treatment and monitored the immune parameters and serum cytokine levels during the course of Nivolumab. Here in, we also describe the clinical presentation of patient during the course of this therapy. Blood samples were collected pretherapy and post-therapy to monitor the response. Both clinical and immunological differences in the composition of Ki67+ PD-1+ CD8 T cells, Granzyme B+ CD8 T cells, NK and NKT cells, and serum cytokine levels of TNF alpha were observed to be elevated post-ICIs during monitoring of the patient receiving checkpoint inhibitor therapy. Monitoring these circulating peripheral blood markers in wider population of patients receiving ICI therapy, during its course, may provide a perspective in the development of new biomarkers for predicting response and may serve as a basis for personalized treatment. This case report describes valuable insights into evolution of immune markers predicting and monitoring response to Nivolumab in a patient with cancer.

Predictive biomarkers for immune checkpoint inhibitors therapy in lung cancer

Immune checkpoint inhibitors (ICIs) have changed the treatment mode of lung cancer, extending the survival time of patients unprecedentedly. Once patients respond to ICIs, the median duration of response is usually longer than that achieved with cytotoxic or targeted drugs. Unfortunately, there is still a large proportion of lung cancer patients do not respond to ICI. Effective biomarkers are crucial for identifying lung cancer patients who can benefit from them. The first predictive biomarker is programmed death-ligand 1 (PD-L1), but its predictive value is limited to specific populations. With the development of single-cell sequencing and spatial imaging technologies, as well as the use of deep learning and artificial intelligence, the identification of predictive biomarkers has been greatly expanded. In this review, we will dissect the biomarkers used to predict ICIs efficacy in lung cancer from the tumor-immune microenvironment and host perspectives, and describe cutting-edge technologies to further identify biomarkers.

Clinical significance of early kinetics of C‑reactive protein in patients with advanced urothelial carcinoma treated with pembrolizumab: Flare response and baseline levels predict oncological outcomes

Data on the C-reactive protein (CRP) flare response in patients with metastatic and unresectable urothelial carcinoma (mUC) are limited. The present study aimed to clarify the clinical significance of the CRP flare response in patients with mUC who received pembrolizumab. Between March 2018 and December 2022, patients with mUC who received pembrolizumab following chemotherapy were retrospectively reviewed. Patients were categorized into three groups based on the early kinetics of CRP: i) Flare-responders, in which CRP levels increased >2-fold from baseline (BL) within 1 month after pembrolizumab administration (CRP flare) and decreased to below-BL levels within 3 months; ii) responders, in which CRP levels decreased ≥30% from baseline within 3 months without CRP flare; and iii) non-responders, which included the remaining patients. Tumor response, survival and incidence of immune-related adverse events (AEs) were compared between the groups. Of the 108 eligible patients, 17 (16%), 27 (25%) and 64 (59%) were classified as CRP flare-responders, CRP responders and CRP non-responders, respectively. Objective response rate was higher in CRP flare-responders and CRP responders than in CRP non-responders. Progression-free survival and overall survival were longer in CRP flare-responders and CRP responders than in CRP non-responders. Among CRP flare-responders, patients with low BL CRP levels had a better tumor response and survival than patients with high BL CRP levels. Notably, there was no difference in the incidence of immune-related AEs. In patients with mUC who received pembrolizumab, CRP flare-responders showed favorable oncological outcomes; therefore, BL CRP levels could predict oncological outcomes in CRP flare-responders.

Early Change in C-Reactive Protein and Venous Thromboembolism in Patients Treated With Immune Checkpoint Inhibitors

Background

Patients with cancer treated with immune-checkpoint inhibitors (ICIs) have a substantial risk of venous thromboembolism (VTE). The association between ICI-induced inflammation and hypercoagulability is unclear, and no biomarkers currently exist to stratify VTE risk.

Objectives

The authors sought to determine the association between the early changes in C-reactive protein (CRP) after ICI initiation and the risk of VTE.

Methods

This retrospective cohort study included patients with cancer initiating ICI therapy from 2 academic cancer centers, serving as discovery and external validation cohorts. Patients were stratified based on CRP trajectories during the first 3 months of ICI treatment, with a CRP rise defined as a 2-fold increase from baseline. Patients were followed for VTE for the duration of ICI therapy, and competing risk and time-dependent analyses were used.

Results

A total of 822 patients were included. In the discovery cohort (n = 405), the cumulative VTE incidence in patients with a CRP rise (n = 159, 39.3%) was 19.9% (95% CI: 8.4%-34.8%), compared with 8.6% (3.1%-17.6%) in those without a CRP rise. After adjusting for key patient- and cancer-specific confounders, the subdistribution HR for VTE in patients with a CRP rise was 2.64 (95% CI: 1.06-6.62). This was confirmed in the external validation cohort (n = 417; subdistribution HR: 2.25; 95% CI: 1.03-4.94), with VTE incidences of 22.9% (95% CI: 9.7%-39.3%) in patients with a CRP rise and 10.8% (95% CI: 7.4%-15.1%) in those without. The association between CRP rise and VTE risk was confirmed in a time-dependent analysis and was consistent after adjusting for disease progression as a potential time-dependent confounder.

Conclusions

Early CRP changes during ICI therapy are associated with an increased risk of VTE, suggesting a potential association between ICI-induced inflammation and hypercoagulability. CRP trajectories may serve as a biomarker for ICI-associated VTE.

Evaluation of the antitumor effect of neoantigen peptide vaccines derived from the translatome of lung cancer

Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extraction, RNC-mRNA sequencing, and comprehensive bioinformatic analysis, we successfully identified proteins undergoing translatome and exhibiting mutations in the cells. Subsequently, novel antigens identification was analyzed by the interaction between their high affinity and the Major Histocompatibility Complex (MHC). Neoantigens immunogenicity was analyzed by enzyme-linked immunospot assay (ELISpot). Finally, in vivo experiments in mice were conducted to evaluate the antitumor effects of translatome-derived neoantigen peptides on lung cancer. The results showed that ten neoantigen peptides were identified and synthesized by translatome data from LLC cells; 8 out of the 10 neoantigens had strong immunogenicity. The neoantigen peptide vaccine group exhibited significant tumor growth inhibition effect. In conclusion, neoantigen peptide vaccine derived from the translatome of lung cancer exhibited significant tumor growth inhibition effect.

Circulating IL-6 is associated with disease progression in BRAFwt metastatic melanoma patients receiving anti-PD-1 therapy

AIMS

Despite efficacy of anti-PD-1 blockade in treatment of metastatic melanoma (MM), many patients achieve rapid disease progression (DP). Therefore, the aim of this study is to better define biomarkers for DP by analysing levels of circulating cytokines TGF-β, IFN-γ, IL-6, IL-8 and IL-10 in MM patients prior to anti-PD-1 therapy.

METHODS

Cytokine levels were evaluated before therapy with pembrolizumab in peripheral blood of BRAF wild-type (wt) MM patients by ELISA method.

RESULTS

In this study, we give pretherapy levels for circulating TGF-β, IFN-γ, IL-6, IL-8 and IL-10 in BRAFwt MM patients and analyse them according to metastasis stage (M1a+M1 b, M1c, M1d groups), lactate dehydrogenase (LDH) level and occurrence of DP. Increased IL-6 level was found in M1d group (central nervous system metastasis), while LDH+patients (LDH ≥460 IU/L) have increased IL-6 and IL-8 values that correlate with LDH level. Also, IL-6 correlates with C reactive protein values. Furthermore, patients with DP have significantly higher IL-6 level compared with non-DP patients. Conversely, the other analysed cytokines are similar in investigated groups of MM patients. By receiver operating characteristics curve analysis, pretherapy IL-6 level was found to be a biomarker for the occurrence of DP with cut-off value of 3.02 pg/mL. Patients in M1d stage are prevalent in the group with IL-6 ≥3.02 pg/mL that is characterised with reduced progression-free survival and higher pretherapy IL-8 and LDH.

CONCLUSION

The evidence in this study implies that baseline IL-6 could be a biomarker of DP and poor prognosis in BRAFwt MM patients treated with pembrolizumab.

Fever of unknown origin associated with immune checkpoint inhibitors

Since the approval for the treatment of melanoma in 2014, immune checkpoint inhibitors (ICIs) have revolutionized the therapy pattern across various malignancies. Coinciding with their frequent usage, their adverse effects, including fever, cannot be neglected. In the context of cancer diseases and cancer treatments, fever of unknown origin (FUO), which has long posed a challenge for clinicians in terms of diagnosis and management, brings forth new connotation and significance. In this paper review, we present the concept of ICIs-associated FUO, consider activated immune system and elevated cytokines as common mechanisms by which ICIs induce fever and various immune-related adverse events (irAEs), summarize and compare the primary etiologies of ICI-associated FUO, and compare it with conventional types of FUO.

Integration of on-treatment modified Glasgow prognostic score (mGPS) to improve imaging-based prediction of outcomes in patients with non-small cell lung cancer on immune checkpoint inhibition

INTRODUCTION

A large number of patients with non-small cell lung cancer (NSCLC) on immune checkpoint inhibition (ICI) achieve stable disease (SD) as the best overall response, which is associated with heterogeneous outcomes. In this context, complementary biomarkers that improve outcome prediction are needed. We have recently demonstrated that measuring the on-treatment modified Glasgow prognostic score (mGPS), which is based on the two serum markers C-reactive protein (CRP) and albumin, can improve outcome prediction complementary to radiological staging in metastatic renal cell carcinoma. However, this concept has not been assessed for patients with NSCLC on ICI.

METHODS

We assessed the prognostic and predictive value of on-treatment mGPS at week six in patients with NSCLC treated with atezolizumab or docetaxel in the phase 3 OAK trial (NCT02008227) comprising n = 750 patients and validated the findings in the phase 2 BIRCH (NCT02031458, n = 560).

RESULTS

On-treatment mGPS assessed at week six demonstrated valuable prognostic information (Hazard Ratio (HR) for mGPS low-risk vs intermediate risk 2.34 (95 % CI 1.76-3.11, p < 0.001) and vs high risk 3.56, (95 % CI 2.57-4.91, p < 0.001) in the atezolizumab-treated subgroup. On-treatment mGPS predicted overall survival more accurately than imaging using RECIST criteria (concordance index: on-treatment mGPS 0.646 (95 % CI 0.615-0.677) vs RECIST 0.606 (95 % CI 0.575-0.637)). On-treatment mGPS provides additional prognostic information to imaging-assessed treatment response at first staging, especially for the patient subgroup with SD. These findings were validated in the BIRCH trial.

CONCLUSIONS

We highlight the novel concept of integrating on-treatment mGPS for improved outcome prediction in conjunction with radiological imaging for patients with NSCLC on ICI.

Early C-reactive Protein Kinetics Predict Response to Immune Checkpoint Blockade in Unresectable Hepatocellular Carcinoma

Purpose

In recent years, a new therapeutic approach, known as immune checkpoint blockade (ICB), has been proposed as approach to improve outcomes in patients with intermediate stage (Barcelona Clinic Liver Cancer, BCLC B) or advanced stage (BCLC C) hepatocellular carcinoma (HCC). Unfortunately, only a select patients can benefit from ICB. Hence, biomarkers that can predict the success and survival of treatment are still necessary.

Patients and Methods

Between 2018 to 2021, 132 patients received ICB treatment for intermediate or advanced stage HCC. Based on the early kinetics of C-reactive protein (CRP), the patients were classified into three groups. The study endpoints were progression-free survival (PFS) and overall survival (OS).

Results

Our findings support the predictive power of early CRP kinetics in determining immunotherapy response for intermediate or advanced HCC. Objective response rates (ORR) were found in 41.2% of CRP flare-responders, 13.3% of CRP responders, and 3.5% of CRP non-responders (p<0.001). Disease control rates (DCR) in the three groups were substantially different (p<0.001). The improved PFS and OS were strongly correlated with the early kinetics of CRP. Compared to CRP non-responders, CRP responders, especially CRP flare-responders, had significantly longer PFS (median PFS: CRP flare-responders: 11.6 months vs CRP responders: 5.2 months vs CRP non-responders: 2.3 months, p<0.001).

Conclusion

The CRP flare response robustly predicts the immunotherapy response and outcomes in patients with HCC. Early CRP kinetics may be an inexpensive, easily implemented and non-invasive biomarker to anticipate response to ICB therapy in intermediate or advanced HCC, with the potential to optimize treatment monitoring.

Serum cytokines and neutrophil-to-lymphocyte ratio as predictive biomarkers of benefit from PD-1 inhibitors in gastric cancer

Background

Immunotherapy is significantly revolutionizing cancer treatment and demonstrating promising efficacy in gastric cancer (GC) patients. However, only a subset of patients could derive benefits from targeted monoclonal antibody therapy against programmed death receptor 1 (PD-1). This study aims to identify suitable serum cytokines and blood cell ratios as predictive biomarkers to aid in the selection of GC patients likely to benefit from PD-1 inhibitors.

Materials and methods

This retrospective study included 41 GC patients who received PD-1 inhibitors combined with chemotherapy, 36 GC patients treated solely with chemotherapy, and 33 healthy controls. The study assessed the levels of seven cytokines: interleukin-2 (IL-2), IL-4, IL-6, IL-10, IL-17A, tumor necrosis factor-alpha (TNF-α), interferon-gamma (IFN-γ), and various inflammatory markers, including the neutrophil-to-lymphocyte ratio (NLR), total lymphocyte count (TLC), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR). Measurements were obtained using the inpatient system. Univariate and multivariate Cox regression analyses were performed to evaluate the predictive significance of these hematologic parameters for clinical outcomes.

Results

Levels of IL-6, IL-10, TNF-α, NLR, and PLR were significantly elevated in GC patients compared to healthy controls, while TLC and LMR were higher in the control group. Among the 41 patients receiving PD-1 inhibitors and chemotherapy, baseline IL-2 was associated with OS and PFS. Additionally, IL-6 and IL-17A correlated with OS, while NLR was linked to PFS (all P<0.05). These factors were identified as independent prognostic indicators in both univariate and multivariate analyses. Furthermore, almost all cytokine levels increased following the initiation of PD-1 inhibitor treatment.

Conclusions

The introduction of PD-1 inhibitors alongside chemotherapy in GC impacts serum cytokine levels. IL-2, IL-6, IL-17A, and NLR exhibit potential as reliable circulating predictive biomarkers for identifying patients who may benefit from PD-1 inhibitors combined with chemotherapy.

Early CRP kinetics to predict long-term efficacy of first-line immune-checkpoint inhibition combination therapies in metastatic renal cell carcinoma: an updated multicentre real-world experience applying different CRP kinetics definitions

Objectives

Although biomarkers predicting therapy response in first-line metastatic renal carcinoma (mRCC) therapy remain to be defined, C-reactive protein (CRP) kinetics have recently been associated with immunotherapy (IO) response. Here, we aimed to assess the predictive and prognostic power of two contemporary CRP kinetics definitions in a large, real-world first-line mRCC cohort.

Methods

Metastatic renal carcinoma patients treated with IO-based first-line therapy within 5 years were retrospectively included in this multicentre study. According to Fukuda et al., patients were defined as 'CRP flare-responder', 'CRP responder' and 'non-CRP responder'; according to Ishihara et al., patients were defined as 'normal', 'normalised' and 'non-normalised' based on their early CRP kinetics. Patient and tumor characteristics were compared, and treatment outcome was measured by overall (OS) and progression-free survival (PFS), including multivariable Cox regression analyses.

Results

Out of 316 mRCC patients, 227 (72%) were assigned to CRP groups according to Fukuda. Both CRP flare- (HR [Hazard ratio]: 0.59) and CRP responders (HR: 0.52) had a longer PFS, but not OS, than non-CRP responders. According to Ishihara, 276 (87%) patients were assigned to the respective groups, and both normal and normalised patients had a significantly longer PFS and OS, compared with non-normalised group.

Conclusion

Different early CRP kinetics may predict therapy response in first-line mRCC therapy in a large real-world cohort. However, further research regarding the optimal timing and frequency of measurement is needed.

Immune checkpoint inhibitor-related chronic pneumonitis: a case report and literature review

Immune checkpoint inhibitor (ICI)-related chronic pneumonitis is rare. Limited information is available on the characteristics of this condition. Herein, we present the case of a 54-year-old man with recurrent severe ICI-related pneumonitis. The patient developed fever and dyspnea during both episodes of pneumonitis. He had been previously diagnosed with gastric signet ring cell carcinoma and was undergoing treatment with an anti-PD-1 combination chemotherapy regimen. We reviewed previous case reports of ICI-related pneumonitis according to the primary cancer, time of onset in relation to ICI therapy and chest imaging findings. ICI-related pneumonitis can progress to chronic pneumonitis. Repeated computed tomography imaging showing lung changes in the same location may help to make the diagnosis.

C-reactive protein kinetics as a predictive marker for long-term outcome of immune checkpoint inhibitors in oesophagogastric cancer

BACKGROUND

The treatment efficacy of immune checkpoint inhibitors (ICIs) is limited, and biomarkers that identify responders are urgently needed. We investigated whether C-reactive protein (CRP) kinetics are associated with the treatment efficacy of ICIs and prognosis in oesophagogastric cancers.

METHODS

We analysed 76 gastric cancer patients treated with nivolumab monotherapy. Patients were classified as CRP-spike, CRP-flat or CRP-increase according to CRP kinetics within 6 weeks after nivolumab initiation, and the treatment response and prognosis were compared. We further validated this classification in 71 oesophageal cancer patients with nivolumab monotherapy.

RESULTS

In the gastric cancer cohort, the CRP-spike, CRP-flat, and CRP-increase subgroups included 9, 37 and 30 patients, respectively. The CRP-spike subgroup had higher disease control rates than the CRP-increase subgroup (P = 0.0068) and had significantly better progression-free survival (PFS) (vs. CRP-flat: P = 0.045, CRP-increase: P = 0.0001). Multivariate analysis for PFS identified CRP-spike (HR = 0.38, P = 0.029) as an independent favourable prognostic factor. In the oesophageal cancer cohort, the CRP-spike, CRP-flat, and CRP-increase subgroups included 13, 27 and 31 patients, respectively, and multivariate analysis for PFS also identified CRP-spike (HR = 0.28, P = 0.0044) as an independent favourable prognostic factor.

CONCLUSIONS

CRP kinetics may be useful in predicting the long-term outcome of nivolumab treatment in oesophagogastric cancers.

C-reactive protein: a target for therapy to reduce inflammation

C-reactive protein (CRP) is well-recognized as a sensitive biomarker of inflammation. Association of elevations in plasma/serum CRP level with disease state has received considerable attention, even though CRP is not a specific indicator of a single disease state. Circulating CRP levels have been monitored with a varying degree of success to gauge disease severity or to predict disease progression and outcome. Elevations in CRP level have been implicated as a useful marker to identify patients at risk for cardiovascular disease and certain cancers, and to guide therapy in a context-dependent manner. Since even strong associations do not establish causality, the pathogenic role of CRP has often been over-interpreted. CRP functions as an important modulator of host defense against bacterial infection, tissue injury and autoimmunity. CRP exists in conformationally distinct forms, which exhibit distinct functional properties and help explaining the diverse, often contradictory effects attributed to CRP. In particular, dissociation of native pentameric CRP into its subunits, monomeric CRP, unmasks "hidden" pro-inflammatory activities in pentameric CRP. Here, we review recent advances in CRP targeting strategies, therapeutic lowering of circulating CRP level and development of CRP antagonists, and a conformation change inhibitor in particular. We will also discuss their therapeutic potential in mitigating the deleterious actions attributed to CRP under various pathologies, including cardiovascular, pulmonary and autoimmune diseases and cancer.

Machine learning for prediction of immunotherapeutic outcome in non-small-cell lung cancer based on circulating cytokine signatures

BACKGROUND

Immune checkpoint inhibitor (ICI) therapy has substantially improved the overall survival (OS) in patients with non-small-cell lung cancer (NSCLC); however, its response rate is still modest. In this study, we developed a machine learning-based platform, namely the Cytokine-based ICI Response Index (CIRI), to predict the ICI response of patients with NSCLC based on the peripheral blood cytokine profiles.

METHODS

We enrolled 123 and 99 patients with NSCLC who received anti-PD-1/PD-L1 monotherapy or combined chemotherapy in the training and validation cohorts, respectively. The plasma concentrations of 93 cytokines were examined in the peripheral blood obtained from patients at baseline (pre) and 6 weeks after treatment (early during treatment: edt). Ensemble learning random survival forest classifiers were developed to select feature cytokines and predict the OS of patients undergoing ICI therapy.

RESULTS

Fourteen and 19 cytokines at baseline and on treatment, respectively, were selected to generate CIRI models (namely preCIRI14 and edtCIRI19), both of which successfully identified patients with worse OS in two completely independent cohorts. At the population level, the prediction accuracies of preCIRI14 and edtCIRI19, as indicated by the concordance indices (C-indices), were 0.700 and 0.751 in the validation cohort, respectively. At the individual level, patients with higher CIRI scores demonstrated worse OS [hazard ratio (HR): 0.274 and 0.163, and p<0.0001 and p=0.0044 in preCIRI14 and edtCIRI19, respectively]. By including other circulating and clinical features, improved prediction efficacy was observed in advanced models (preCIRI21 and edtCIRI27). The C-indices in the validation cohort were 0.764 and 0.757, respectively, whereas the HRs of preCIRI21 and edtCIRI27 were 0.141 (p<0.0001) and 0.158 (p=0.038), respectively.

CONCLUSIONS

The CIRI model is highly accurate and reproducible in determining the patients with NSCLC who would benefit from anti-PD-1/PD-L1 therapy with prolonged OS and may aid in clinical decision-making before and/or at the early stage of treatment.

The components of tumor microenvironment as biomarker for immunotherapy in metastatic renal cell carcinoma

Substantial improvement in prognosis among metastatic renal cell carcinoma (mRCC) patients has been achieved, owing to the rapid development and utilization of immunotherapy. In particular, immune checkpoint inhibitors (ICIs) have been considered the backbone of systemic therapy for patients with mRCC alongside multi-targeted tyrosine kinase inhibitors (TKIs) in the latest clinical practice guidelines. However, controversies and challenges in optimal individualized treatment regarding immunotherapy remains still About 2/3 of the patients presented non-response or acquired resistance to ICIs. Besides, immune-related toxicities, namely immune-related adverse events, are still elusive and life-threatening. Thus, reliable biomarkers to predict immunotherapeutic outcomes for mRCC patients are needed urgently. Tumor microenvironment (TME), consisting of immune cells, vasculature, signaling molecules, and extracellular matrix and regulates tumor immune surveillance and immunological evasion through complex interplay, plays a critical role in tumor immune escape and consequently manipulates the efficacy of immunotherapy. Various studied have identified the different TME components are significantly associated with the outcome of mRCC patients receiving immunotherapy, making them potential valuable biomarkers in therapeutic guidance. The present review aims to summarize the latest evidence on the associations between the components of TME including immune cells, cytokines and extracellular matrix, and the therapeutic responses among mRCC patients with ICI-based treatment. We further discuss the feasibility and limitation of these components as biomarkers.

Biological Insight and Recent Advancement in the Treatment of Neuroblastoma

One of the most frequent solid tumors in children is neuroblastoma, which has a variety of clinical behaviors that are mostly influenced by the biology of the tumor. Unique characteristics of neuroblastoma includes its early age of onset, its propensity for spontaneous tumor regression in newborns, and its high prevalence of metastatic disease at diagnosis in individuals older than 1 year of age. Immunotherapeutic techniques have been added to the previously enlisted chemotherapeutic treatments as therapeutic choices. A groundbreaking new treatment for hematological malignancies is adoptive cell therapy, specifically chimeric antigen receptor (CAR) T cell therapy. However, due to the immunosuppressive nature of the tumor microenvironment (TME) of neuroblastoma tumor, this treatment approach faces difficulties. Numerous tumor-associated genes and antigens, including the MYCN proto-oncogene (MYCN) and disialoganglioside (GD2) surface antigen, have been found by the molecular analysis of neuroblastoma cells. The MYCN gene and GD2 are two of the most useful immunotherapy findings for neuroblastoma. The tumor cells devise numerous methods to evade immune identification or modify the activity of immune cells. In addition to addressing the difficulties and potential advancements of immunotherapies for neuroblastoma, this review attempts to identify important immunological actors and biological pathways involved in the dynamic interaction between the TME and immune system.

Predictive Biomarkers for Immune-Checkpoint Inhibitor Treatment Response in Patients with Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) has one of the highest mortality rates among solid cancers. Late diagnosis and a lack of efficacious treatment options contribute to the dismal prognosis of HCC. Immune checkpoint inhibitor (ICI)-based immunotherapy has presented a new milestone in the treatment of cancer. Immunotherapy has yielded remarkable treatment responses in a range of cancer types including HCC. Based on the therapeutic effect of ICI alone (programmed cell death (PD)-1/programmed death-ligand1 (PD-L)1 antibody), investigators have developed combined ICI therapies including ICI + ICI, ICI + tyrosine kinase inhibitor (TKI), and ICI + locoregional treatment or novel immunotherapy. Although these regimens have demonstrated increasing treatment efficacy with the addition of novel drugs, the development of biomarkers to predict toxicity and treatment response in patients receiving ICI is in urgent need. PD-L1 expression in tumor cells received the most attention in early studies among various predictive biomarkers. However, PD-L1 expression alone has limited utility as a predictive biomarker in HCC. Accordingly, subsequent studies have evaluated the utility of tumor mutational burden (TMB), gene signatures, and multiplex immunohistochemistry (IHC) as predictive biomarkers. In this review, we aim to discuss the current state of immunotherapy for HCC, the results of the predictive biomarker studies, and future direction.

Germline genetic variation and predicting immune checkpoint inhibitor induced toxicity

Immune checkpoint inhibitor (ICI) therapy has revolutionised the treatment of various cancer types. ICIs reinstate T-cell function to elicit an anti-cancer immune response. The resulting immune response can however have off-target effects which manifest as autoimmune type serious immune-related adverse events (irAE) in ~10-55% of patients treated. It is currently challenging to predict both who will experience irAEs and to what severity. Identification of patients at high risk of serious irAE would revolutionise patient care. While the pathogenesis driving irAE development is still unclear, host genetic factors are proposed to be key determinants of these events. This review presents current evidence supporting the role of the host genome in determining risk of irAE. We summarise the spectrum and timing of irAEs following treatment with ICIs and describe currently reported germline genetic variation associated with expression of immuno-modulatory factors within the cancer immunity cycle, development of autoimmune disease and irAE occurrence. We propose that germline genetic determinants of host immune function and autoimmune diseases could also explain risk of irAE development. We also endorse genome-wide association studies of patients being treated with ICIs to identify genetic variants that can be used in polygenic risk scores to predict risk of irAE.

Innate immune function during antineoplastic treatment is associated with 12-months survival in non-small cell lung cancer

Introduction

The immune system has proven to be a key player in the progression as well as containment of cancer with new treatment strategies based on immunotherapy targeting this interaction. Assessing immune function could reveal critical information about the immune response to therapeutic interventions, revealing predictive biomarkers for tailored care and precision medicine.

Methods

We investigated immune function in 37 patients with inoperable non-small cell lung cancer (NSCLC) undergoing treatment with PD-L1 immune checkpoint inhibitor (ICI), chemotherapy (CT) or chemo-radiotherapy (CT/RT). Blood samples before (day 0) and during therapy (day 7, 21 and 80) were investigated by a standardized immunoassay, TruCulture®.

Results

Outcomes revealed a developing innate immune response induced by both immunotherapy and chemotherapy. NSCLC-patients displayed evidence of chronic innate immune activation and exhaustion prior to treatment. This pattern was particularly pronounced during treatment in patients dying within 12-months follow-up. Compared to treatment with CT, ICI demonstrated a higher ex vivo-stimulated release of proinflammatory cytokines.

Discussion

These preliminary findings may pave the way for tailored treatment and immune-monitoring.

Case report: A rare case of neutropenia caused by pembrolizumab in squamous lung cancer and literature review

Background

Immune checkpoint inhibitors, including anti-PD-1 therapies, have prolonged overall survival in patients with a variety of cancers, and immunotherapy is sometimes associated with immune-related adverse events (irAEs); however, hematological toxicity, especially neutropenia, is rare.

Case presentation

A 78-year-old man with squamous lung cancer, with brain metastasis, was treated with pembrolizumab and albumin-bound paclitaxel as first-line treatment for one cycle and changed to pembrolizumab plus anlotinib at the second cycle. After two therapy cycles, grade 4 neutropenia developed, which mainly contributed to irAEs. The patient was started on granulocyte colony-stimulating factor (G-CSF) but did not improve; he was then treated with corticosteroids, and neutrophil counts gradually returned to normal levels. However, the patient eventually died because of neurological problems.

Conclusion

Grade 4 neutropenia associated with ICI, although rare, is often severe and presents with infectious complications; it needs to be diagnosed early, and clinicians should ensure prompt and proper management to such patients.

Immune checkpoint inhibitor related nephrotoxicity: Advances in clinicopathologic features, noninvasive approaches, and therapeutic strategy and rechallenge

Immune checkpoint inhibitors (ICIs) are used increasingly to treat more than 17 cancers and have shown promising therapeutic results. However, ICI use can result in a variety of immune-related adverse events (IRAEs) which can occur in any organ, including the kidneys. Acute kidney injury (AKI) is the most common nephrotoxicity, classically related to acute interstitial nephritis. Much more diverse patterns and presentations of ICI-related kidney injury can occur, and have implications for diagnostic and therapeutic management approaches. In this review, we summarize the recently approved ICIs for cancer, the incidence and risk factors for nephrotoxicity, our current understanding of the pathophysiological mechanisms and the key clinicopathological features of ICI-related AKI, and therapeutic strategies. We also explore important knowledge that require further investigation, such as the risks/benefits of ICI rechallenge in patients who recover from an episode of ICI-related AKI, and the application of liquid biopsy and microbiome to identify noninvasive biomarkers to diagnose and predict kidney injury and guide ICI therapy.

AKR1B10 accelerates the production of proinflammatory cytokines via the NF-κB signaling pathway in colon cancer

Aldo-keto reductase family one, member B10 (AKR1B10) has been reported to be involved in the tumorigenesis of various cancers. It has been reported that colorectal cancer is closely associated with chronic inflammation, but the underlying molecular mechanisms are still elusive. In our study, we evaluated the relationship between AKR1B10 expression and clinicopathological characteristics of colon cancer and showed that AKR1B10 expression was significantly correlated with the T stage and clinical stage of colon cancer. Knockdown of AKR1B10 significantly decreased the expression of the inflammatory cytokines IL1α and IL6 induced by lipopolysaccharide by inhibiting the NF-κB signaling pathway. Furthermore, AKR1B10 depends on its reductase activity to affect the NF-κB signaling pathway and subsequently affect the production of inflammatory cytokines. In addition, knockdown of AKR1B10 effectively reduced cell proliferation and clonogenic growth, indicating the biological role of AKR1B10 in colon cancer. Together, our findings provide important insights into a previously unrecognized role of AKR1B10 in colon cancer.

Non-specific symptoms as a prodrome of immune-related adverse events in patients with non-small cell lung cancer receiving nivolumab: a consecutive analysis of 200 patients

PURPOSE

Immune checkpoint blockade therapy is the standard treatment for metastatic or refractory non-small cell lung cancer (NSCLC). However, it is associated with immune-related adverse events (irAEs). irAEs are sometimes fatal; however, an efficient method for early irAEs detection has not been developed because their onset timing varies. We examined the significance of non-specific symptoms as a prodrome of irAEs in patients with NSCLC.

METHODS

We reviewed consecutive patients who received nivolumab at a dosage of 3 mg/kg every 2 weeks for metastatic NSCLC between December 2015 and August 2017. Patient demographics, irAEs and signal symptoms were recorded. Non-specific symptoms (fever and fatigue) occurred 7 days or earlier before the onset of irAEs were considered signal symptoms. For statistical analyses, the association between irAEs and clinical information, including signal symptoms, was evaluated using Fisher's exact test and logistic regression.

RESULTS

A total of 200 patients received nivolumab; 131 (65.5%) were male, their median age was 63 years (range 30-83), 174 (87.0%) had performance status of 0-1. Signal symptoms occurred in 38 (19.0%) of the 77 patients (38.5%) who experienced irAEs, and were positively associated with the occurrence of irAEs (P < 0.01). Multivariate analysis showed that the occurrence of irAEs was significantly higher in patients with PS 0-1 [odds ratio (OR) 7.01; 95% confidence intervals (CI), 1.69-29.13] and patients experienced signal symptoms (OR 17.30; 95% CI, 6.51-45.99).

CONCLUSION

The occurrence of signal symptoms could be used in the early detection and management of irAEs in patients during immune checkpoint blockade therapy.

[Application of MIDD in Clinical Research of Antitumor Drugs]

The antitumor drug has become one of the focused areas in new drug research and development. Their clinical research generally consumes a long period of time, with high cost and high risk. Model-informed drug development (MIDD) integrates and quantitatively analyzes physiological, pharmacological, and disease progression information through modeling and simulation, which can reduce the cost of drug development and improve the efficiency of clinical research. In this essay, Osimertinib and Pembrolizumab are given as examples to illustrate the specific application of MIDD in different phases of clinical research, aiming to provide references for the application of MIDD to guide the clinical research of antitumor drugs.
.

Changes of Tumor Markers in Patients with Lung Cancer after Immunotherapy and Their Link with Inflammation in the Body

Purpose

To figure out tumor markers changes in lung cancer (LC) patients after immunotherapy and their link with inflammation in the body.

Methods

From May 2017 to January 2021, taking 97 LC patients with elevated Programmed Cell Death Protein 1 and Programmed Cell Death Protein-ligand 1 was as the research objects. They were all given immunotherapy and assigned into the remission and the nonremission groups on the grounds of the tumor remission after 6 months of treatment, after comparison of tumor markers [carcinoembryonic antigen (CEA), squamous cell carcinoma-associated antigen (SCC-Ag), cytokeratin 19 fragment (CYFRA12-1), and neuron-specific enolase (NSE)] and inflammation indicators [interleukin-10 (IL-10), interleukin (IL-6), and tumor necrosis factor-α (TNF-α)] in the two.

Results

Tumor markers, IL-10, IL-6, and TNF-α in the remission after treatment were reduced vs. the nonremission (P < 0.05); SCC-Ag was positively linked with IL-10, IL-6, and TNF-α in the patients after treatment (P < 0.05); the AUC of the combined detection to assess the efficacy of LC immunotherapy was greater vs. the individual detection of indicators (P < 0.05).

Conclusion

Tumor markers and the inflammation state of the body in LC patients are memorably reduced after immunotherapy, and a correlation is presented between the two, which manifests evaluating value of the efficacy of immunotherapy.

Emerging Blood-Based Biomarkers for Predicting Immunotherapy Response in NSCLC

Simple Summary

Treatment with immunotherapy has been established as a standard treatment for lung cancer in recent years. Unfortunately, still, only a small proportion of patients benefit from the treatment, being the first leading cause of cancer death worldwide. Therefore, there is an urgent need for predictive biomarkers to help clinicians to discern whose patients are more likely to respond to immunotherapy. Since liquid biopsy opens the door to select patients and monitor the response during the treatment in a non-invasive way, in this review, we focus on the most relevant and recent results based on blood soluble biomarkers.

Abstract

Immunotherapy with Immune Checkpoint Inhibitors (ICIs) has demonstrated a profitable performance for Non-Small Cell Lung Cancer (NSCLC) cancer treatment in some patients; however, there is still a percentage of patients in whom immunotherapy does not provide the desired results regarding beneficial outcomes. Therefore, obtaining predictive biomarkers for ICI response will improve the treatment management in clinical practice. In this sense, liquid biopsy appears as a promising method to obtain samples in a minimally invasive and non-biased way. In spite of its evident potential, the use of these circulating biomarkers is still very limited in the real clinical practice, mainly due to the huge heterogeneity among the techniques, the lack of consensus, and the limited number of patients included in these previous studies. In this work, we review the pros and cons of the different proposed biomarkers, such as soluble PD-L1, circulating non-coding RNA, circulating immune cells, peripheral blood cytokines, and ctDNA, obtained from liquid biopsy to predict response to ICI treatment at baseline and to monitor changes in tumor and tumor microenvironment during the course of the treatment in NSCLC patients.

Cytokine release syndrome and successful response to pembrolizumab therapy in a patient with EGFR-mutated non-small-cell lung cancer: A case report

A therapeutic option for advanced non‐small‐cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR)‐tyrosine kinase inhibitor (TKI) resistance is a clinical challenge. The clinical outcomes of pembrolizumab in those patients is inconclusive. Cytokine release syndrome (CRS) is a rarely reported immune‐related adverse event in the field of immune checkpoint inhibitors therapy, raising challenges given the paucity of data with such presentations. We present the unique case of a 67‐year‐old female with advanced EGFR‐mutated NSCLC who successfully responded to pembrolizumab after EGFR‐TKI resistance. However, the patient developed CRS after pembrolizumab initiation and presented with fever, rash, hypotension, hypoxemia, tachycardia, and multiple organ dysfunction. Blood tests showed elevated levels of peripheral CD8+ T cells, C‐reactive protein, and tumor necrosis factor‐α. The symptoms rapidly improved after corticosteroid initiation. Based on the present case, we propose that pembrolizumab might be a potential salvage therapy for patients with advanced EGFR‐mutated NSCLC after EGFR‐TKI resistance; CRS would be a sign of the antitumor effect of PD‐1 inhibitors in those patients. However, CRS can be a fatal adverse effect and clinicians must remain vigilant for the rare toxicities to make prompt diagnosis and treatment.

C-reactive protein flare predicts response to anti-PD-(L)1 immune checkpoint blockade in metastatic urothelial carcinoma

PURPOSE

Robust biomarkers to predict response to immune checkpoint blockade (ICB) in metastatic urothelial carcinoma (mUC) are still in demand. Recently, early C-reactive protein (CRP) kinetics and especially the novel CRP flare-response phenomenon has been associated with immunotherapy response.

METHODS

We conducted a multicentre observational study comprising 154 patients with mUC treated with ICB to evaluate the predictive value of a previously described on-treatment CRP kinetics: CRP flare responders (at least doubling of baseline CRP within the first month after initiation of ICB followed by a decline below baseline within three months), CRP responders (decline in baseline CRP by ≥ 30% within three months without a prior flare) and the remaining patients as CRP non-responders. CRP kinetics groups were correlated with baseline parameters, PD-L1 status, progression-free survival (PFS) and overall survival (OS).

RESULTS

Objective response was observed in 57.1% of CRP responders, 45.8% of CRP flare responders and 17.9% of CRP non-responders (P < 0.001). CRP flare response was associated with prolonged PFS and OS (P < 0.001). In multivariable Cox regression analysis, CRP flare responders showed a risk reduction of ∼70% for tumour progression and death compared to CRP non-responders. Subgroup analysis of CRP flare responders revealed that patients with a long-flare response (completed flare-response kinetics ≥6 weeks on-treatment) showed even more favourable outcomes following ICB (HR = 0.18, 95%-CI: 0.07-0.48, P < 0.001).

CONCLUSION

CRP (flare)response robustly predicts immunotherapy response and outcomes in mUC independent of PD-L1 status. Thus, early on-treatment CRP kinetics is a promising low-cost and easy-to-implement biomarker to optimise therapy monitoring in patients with mUC treated with ICB.

C reactive protein flare predicts response to checkpoint inhibitor treatment in non-small cell lung cancer

Biomarkers for predicting response to anti-programmed death-1 (PD-1) immune checkpoint blockade (ICB) in non-small cell lung cancer (NSCLC) remain in demand. Since anti-tumor immune activation is a process, early dynamic changes of the acute-phase reactant C reactive protein (CRP) may serve as a predictive on-treatment biomarker. In a retrospective (N=105) and prospective (N=108) ICB-treated NSCLC cohort, early CRP kinetics were stratified after the start of immunotherapy until weeks 4, 6, and 12 as follows: an early doubling of baseline CRP followed by a drop below baseline (CRP flare-responder), a drop of at least 30% below baseline without prior flare (CRP responders), or those who remained as CRP non-responders. In our study, we observed characteristic longitudinal changes of serum CRP concentration after the initiation of ICB. In the prospective cohort, N=40 patients were defined as CRP non-responders, N=39 as CRP responders, and N=29 as CRP flare-responders with a median progression-free survival (PFS) of 2.4, 8.1, and 14.3 months, respectively, and overall survival (OS) of 6.6, 18.6, and 32.9 months (both log-rank p<0.001). Of note, CRP flare-responses, characterized by a sharp on-treatment CRP increase in the first weeks after therapy initiation, followed by a decrease of CRP serum level below baseline, predict ICB response as early as 4 weeks after therapy initiation. Of note, early CRP kinetics showed no predictive value for chemoimmunotherapy or when steroids were administered concurrently. On-treatment CRP kinetics had a predictive value for both major histological NSCLC subtypes, adenocarcinoma and squamous cell carcinoma. The results were verified in an independent retrospective cohort of 105 patients. In conclusion, CRP flare predicted anti-PD-1 monotherapy response and survival in two independent cohorts including a total of 213 patients with NSCLC, regardless of histology. Due to its wide clinical availability, early CRP kinetics could become an easily determined, cost-efficient, and non-invasive biomarker to predict response to checkpoint inhibitors in NSCLC within the first month.

Comparison of Laboratory Methods for the Clinical Follow Up of Checkpoint Blockade Therapies in Leukemia: Current Status and Challenges Ahead

The development of immune checkpoint inhibitors, the monoclonal antibodies that modulate the interaction between immune checkpoint molecules or their ligands on the immune cells or tumor tissue has revolutionized cancer treatment. While there are various studies proving their efficacy in hematological malignancies, there is also a body of accumulating evidence indicating that immune checkpoint inhibitors' clinical benefits are limited in such diseases. In addition, due to their regulatory nature that balances the immune responses, blockade of immune checkpoints may lead to toxic side effects and autoimmune responses, and even primary or acquired resistance mechanisms may restrict their success. Thus, the need for laboratory biomarkers to identify and monitor patient populations who are more likely respond to this type of therapy and the management of side effects seem critical. However, guidelines regarding the use of immune checkpoint inhibitors in hematological cancers and during follow-up are limited while there is no consensus on the laboratory parameters to be investigated for safety and efficacy of the treatment. This review aims to provide an insight into recent information on predictive and prognostic value of biomarkers and laboratory tests for the clinical follow up of hematological malignancies, with an emphasis on leukemia.

Pre-treatment serum protein levels predict survival of non-small cell lung cancer patients without durable clinical benefit by PD-1/L1 inhibitors

While PD-1/L1 inhibitors are characterized by durable tumor control, they also prolong survival without prolongation of progression-free survival (PFS) in part of patients. However, little is known about the factors and mechanisms involved in this. Between December 2015 and September 2018, 106 patients with advanced non-small cell lung cancer treated with ICI monotherapy were enrolled in a prospective-observational study. Sixty-nine of whom progressed or died within 6 months after ICI initiation were defined as patients without durable clinical benefit (NDBs). Clinical factors and 39 serum proteins before ICI initiation and at the time of progressive disease (PD) were explored for an association with overall survival (OS) and OS after PD (OS-PD). As a result, median PFS, OS, and OS-PD were 44 days [95% confidence interval (CI): 39-56), 211 days (95% CI: 158-425), and 193 days (95% CI: 118-349), respectively. By multivariate analysis for OS, CRP (> 1.44 mg/dl) [HR 2.59 (95% CI:1.33-5.04), P = 0.005] and follistatin (> 685 pg/ml) [HR 2.29 (95% CI:1.12-4.69), P = 0.023] before ICI initiation were significantly predictive. Notably, no serum protein at the time of PD was predictive for OS-PD. There were also no serum predictive factors of OS in the 33 patients with durable clinical benefit. In conclusion, serum levels of CRP and follistatin before ICI initiation, not at the time of PD, are predictive for OS in NDBs, suggesting long-term survivor in NDBs are predetermined by the immune status before ICI initiation.

Transient HIV Reservoirs and Interleukin-6 Increase After Anti-Programmed Death-1 Antibody Infusion in HIV Patients with Lung Cancer

Background

The purpose of this study is to examine the dynamic effects of anti-programmed death (PD)-1 antibody treatment on HIV reservoirs and inflammatory cytokines in patients with HIV infections who were diagnosed with non-small cell lung cancer (NSCLC).

Methods

This is a clinical trial in which three HIV patients with NSCLC were administered 14 infusions of anti-PD-1 antibody at 21-day intervals. Blood samples were collected from the participants before each infusion (0 h), and at 2 h, 24 h, and 7 days after each infusion of anti-PD-1 monoclonal antibody. The levels of cell-associated HIV RNA (CA-HIV-RNA), HIV DNA, and inflammatory cytokines (including interferon [IFN]-α, IFN-γ, tumor necrosis factor [TNF]-α, interleukin [IL]-2, IL-4, IL-6, IL-10, and IL-17A) were assessed at each timepoint.

Results

A significant increase in CA-HIV-RNA (P = 0.049) and HIV DNA (P = 0.042) was observed 24 h after each infusion of anti-PD-1 monoclonal antibody. The Z-score for IL-6 increased from −0.46 ± 0.53 to 0.28 ± 0.78 at 24 h after infusion (P = 0.02), and further increased to 0.61 ± 1.0 at 7 days after each infusion (P = 0.007). A significant correlation was observed between IL-6 and HIV DNA (P = 0.02).

Conclusion

The CA-HIV-RNA, HIV DNA, and IL-6 levels significantly increased after infusion of anti-PD-1 monoclonal antibody in the three HIV-infected patients with NSCLC. These results support an early transient effect of anti-PD-1 monoclonal antibody infusion on HIV reservoirs. However, the long-term effect needs to be investigated in a larger cohort with a longer follow-up period.

C‐reactive protein flare‐response predicts long‐term efficacy to first‐line anti‐PD‐1‐based combination therapy in metastatic renal cell carcinoma

Objectives

Immune checkpoint blockade (IO) has revolutionised the treatment of metastatic renal cell carcinoma (mRCC). Early C‐reactive protein (CRP) kinetics, especially the recently introduced CRP flare‐response phenomenon, has shown promising results to predict IO efficacy in mRCC, but has only been studied in second line or later. Here, we aimed to validate the predictive value of early CRP kinetics for 1st‐line treatment of mRCC with αPD‐1 plus either αCTLA‐4 (IO+IO) or tyrosine kinase inhibitor (IO+TKI).

Methods

In this multicentre retrospective study, we investigated the predictive potential of early CRP kinetics during 1st‐line IO therapy. Ninety‐five patients with mRCC from six tertiary referral centres with either IO+IO (N = 59) or IO+TKI (N = 36) were included. Patients were classified as CRP flare‐responders, CRP responders or non‐CRP responders as previously described, and their oncological outcome was compared.

Results

Our data validate the predictive potential of early CRP kinetics in 1st‐line immunotherapy in mRCC. CRP responders, especially CRP flare‐responders, had significantly prolonged progression‐free survival (PFS) compared with non‐CRP responders (median PFS: CRP flare‐responder: 19.2 months vs. responders: 16.2 vs. non‐CRP responders: 5.6, P < 0.001). In both the IO+IO and IO+TKI subgroups, early CRP kinetics remained significantly associated with improved PFS. CRP flare‐response was also associated with long‐term response ≥ 12 months.

Conclusions

Early CRP kinetics appears to be a low‐cost and easy‐to‐implement on‐treatment biomarker to predict response to 1st‐line IO combination therapy. It has potential to optimise therapy monitoring and might represent a new standard of care biomarker for immunotherapy in mRCC.

Programmed death (PD)-1/PD-ligand 1 blockade mediates antiangiogenic effects by tumor-derived CXCL10/11 as a potential predictive biomarker

Immune checkpoint inhibitor (ICI) programmed death (PD)-1/PD-ligand 1 (PD-L1) blockade has been approved for various cancers. However, the underlying antitumor mechanisms mediated by ICIs and the predictive biomarkers remain unclear. We report the effects of anti-PD-L1/PD-1 Ab in tumor angiogenesis. In syngeneic mouse models, anti-PD-L1 Ab inhibited tumor angiogenesis and induces net-like hypoxia only in ICI-sensitive cell lines. In tumor tissue and serum of ICI-sensitive cell line-bearing mice, interferon-γ (IFN-γ) inducible angiostatic chemokines CXCL10/11 were upregulated by PD-L1 blockade. In vitro, CXCL10/11 gene upregulation by IFN-γ stimulation in tumor cell lines correlated with the sensitivity of PD-L1 blockade. The CXCL10/11 receptor CXCR3-neutralizing Ab or CXCL11 silencing in tumor cells inhibited the antiangiogenic effect of PD-L1 blockade in vivo. In pretreatment serum of lung carcinoma patients receiving anti-PD-1 Ab, the concentration of CXCL10/11 significantly correlated with the clinical outcome. Our results indicate the antiangiogenic function of PD-1/PD-L1 blockade and identify tumor-derived CXCL10/11 as a potential circulating biomarker of therapeutic sensitivity.

Anti-tumour effect of neo-antigen-reactive T cells induced by RNA mutanome vaccine in mouse lung cancer

PURPOSE

Mutation-specific T-cell response to epithelial cancers and T-cell-based immunotherapy has been successfully used to treat several human solid cancers. We aimed to investigate the anti-tumour effect of neo-antigen-reactive T(NRT) cells induced by RNA mutanome vaccine, which may serve as a feasible and effective therapeutic approach for lung cancer.

METHODS

We predicted candidate neo-antigens according to the mutant gene analysis by sequencing the mouse Lewis cells and C57BL/6 mouse tail tissue. RNA vaccine was prepared with the neo-antigens as the template. We assessed antitumor efficacy, cytokine secretion and pathological changes after adoptive transfer of NRT cells in vitro and vivo experiments.

RESULTS

We identified 10 non-synonymous somatic mutations and successfully generated NRT cells. The percentage of T-cell activation proportion was increased from 0.072% in conventional T cells to 9.96% in NRT cells. Interferon-γ secretion augmented from 17.8 to 24.2% as well. As an in vivo model, adoptive NRT cell infusion could promote active T-cell infiltration into the tumour tissue and could delay tumour progression.

CONCLUSION

NRT cells induced by RNA mutanome vaccine exert a significant anti-tumour effect in mouse lung cancer, and adoptive NRT cell therapy might be considered a feasible, effective therapeutic approach for lung cancer.

Systemic delivery of TNF-armed myxoma virus plus immune checkpoint inhibitor eliminates lung metastatic mouse osteosarcoma

Solid cancers that metastasize to the lungs represent a major therapeutic challenge. Current treatment paradigms for lung metastases consist of radiation therapy, chemotherapies, and surgical resection, but there is no single treatment or combination that is effective for all tumor types. To address this, oncolytic myxoma virus (MYXV) engineered to express human tumor necrosis factor (vMyx-hTNF) was tested after systemic administration in an immunocompetent mouse K7M2-Luc lung metastatic osteosarcoma model. Virus therapy efficacy against pre-seeded lung metastases was assessed after systemic infusion of either naked virus or ex vivo-loaded autologous bone marrow leukocytes or peripheral blood mononuclear cells (PBMCs). Results of this study showed that the PBMC pre-loaded strategy was the most effective at reducing tumor burden and increasing median survival time, but sequential intravenous multi-dosing with naked virus was comparably effective to a single infusion of PBMC-loaded virus. PBMC-loaded vMyx-hTNF also potentially synergized very effectively with immune checkpoint inhibitors anti-PD-1, anti-PD-L1, and anti-cytotoxic T lymphocyte associated protein 4 (CTLA-4). Finally, in addition to the pro-immune stimulation caused by unarmed MYXV, the TNF transgene of vMyx-hTNF further induced the unique expression of numerous additional cytokines associated with the innate and adaptive immune responses in this model. We conclude that systemic ex vivo virotherapy with TNF-α-armed MYXV represents a new potential strategy against lung metastatic cancers like osteosarcoma and can potentially act synergistically with established checkpoint immunotherapies.

Impact of pre-treatment C-reactive protein level and skeletal muscle mass on outcomes after stereotactic body radiotherapy for T1N0M0 non-small cell lung cancer: a supplementary analysis of the Japan Clinical Oncology Group study JCOG0403

This study aimed to evaluate the impact of pretreatment C-reactive protein (CRP) and skeletal muscle mass (SMM) on outcomes after stereotactic body radiotherapy (SBRT) for T1N0M0 non-small cell lung cancer (NSCLC) as a supplementary analysis of JCOG0403. Patients were divided into high and low CRP groups with a threshold value of 0.3 mg/dL. The paraspinous musculature area at the level of the 12th thoracic vertebra was measured on simulation computed tomography (CT). When the area was lower than the sex-specific median, the patient was classified into the low SMM group. Toxicities, overall survival (OS) and cumulative incidence of cause-specific death were compared between the groups. Sixty operable and 92 inoperable patients were included. In the operable cohort, OS significantly differed between the CRP groups (log-rank test p = 0.009; 58.8% and 83.6% at three years for high and low CRP, respectively). This difference in OS was mainly attributed to the difference in lung cancer deaths (Gray's test p = 0.070; 29.4% and 7.1% at three years, respectively). No impact of SMM on OS was observed. The incidence of Grade 3-4 toxicities tended to be higher in the low SMM group (16.7% vs 0%, Fisher's exact test p = 0.052). In the inoperable cohort, no significant impact on OS was observed for either CRP or SMM. The toxicity incidence was also not different between the CRP and SMM groups. The present study suggests that pretreatment CRP level may provide prognostic information in operable patients receiving SBRT for early-stage NSCLC.

Biomarker Technologies to Support Early Clinical Immuno-oncology Development: Advances and Interpretation

Today, there is a huge effort to develop cancer immunotherapeutics capable of combating cancer cells as well as the biological environment in which they can grow, adapt, and survive. For such treatments to benefit more patients, there is a great need to dissect the complex interplays between tumor cells and the host's immune system. Monitoring mechanisms of resistance to immunotherapeutics can delineate the evolution of key players capable of driving an efficacious antitumor immune response. In doing so, simultaneous and systematic interrogation of multiple biomarkers beyond single biomarker approaches needs to be undertaken. Zooming into cell-to-cell interactions using technological advancements with unprecedented cellular resolution such as single-cell spatial transcriptomics, advanced tissue histology approaches, and new molecular immune profiling tools promises to provide a unique level of molecular granularity of the tumor environment and may support better decision-making during drug development. This review will focus on how such technological tools are applied in clinical settings, to inform the underlying tumor-immune biology of patients and offer a deeper understanding of cancer immune responsiveness to immuno-oncology treatments.

The Role of Cytokines in Predicting the Response and Adverse Events Related to Immune Checkpoint Inhibitors

Recently, the overall survival (OS) and progression-free survival (PFS) of patients with advanced cancer has been significantly improved due to the application of immune checkpoint inhibitors (ICIs). Low response rate and high occurrence of immune-related adverse events (irAEs) make urgently need for ideal predictive biomarkers to identity efficient population and guide treatment strategies. Cytokines are small soluble proteins with a wide range of biological activity that are secreted by activated immune cells or tumor cells and act as a bridge between innate immunity, infection, inflammation and cancer. Cytokines can be detected in peripheral blood and suitable for dynamic detection. During the era of ICIs, many studies investigated the role of cytokines in prediction of the efficiency and toxicity of ICIs. Herein, we review the relevant studies on TNF-α, IFN-γ, IL-6, IL-8, TGF-β and other cytokines as biomarkers for predicting ICI-related reactions and adverse events, and explore the immunomodulatory mechanisms. Finally, the most important purpose of this review is to help identify predictors of ICI to screen patients who are most likely to benefit from immunotherapy.

A narrative review of current and potential prognostic biomarkers for immunotherapy in small-cell lung cancer

Small-cell lung cancer (SCLC) is a highly invasive and rapidly proliferating pathologic subtype that accounts for 13-15% of all lung cancer cases. Recently in extensive-stage SCLC, treatments that combine immunotherapy and chemotherapy showed increased efficacy compared to chemotherapy alone in several trials. However, the combination of immunotherapy and conventional chemotherapy regimens was introduced only recently for extensive-stage SCLC, with relatively little real-world data. The demand for reliable biomarkers that can predict the efficacy of immunotherapy in SCLC is high. Several studies evaluated various parameters including programmed cell death ligand-1 (PD-L1) expression, tumor mutation burden (TMB), gene expression profiling, autoantibody, and blood cytokines for predictive value for response to immunotherapy in SCLC. Despite some observed correlations, there is a lack of concrete support for the use of PD-L1 expression levels for readily available biomarker. High TMB in combination with smoking history is predictive of a better response to immunotherapy, but validation of cutoffs and testing methods is necessary before it can be widely applied in clinical settings. Other candidate biomarkers such as immune cell distribution among tumor microenvironment, and systemic inflammatory markers can also be evaluated, after an accumulation of real-life data from SCLC patients under immunotherapy.

Predictability of early changes in derived neutrophil-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio in patients with advanced non-small cell lung cancer treated with immune checkpoint inhibitors

Background

As association between systemic inflammation and disease progression has been suggested, early changes in neutrophil-to-lymphocyte ratio (NLR) and derived NLR (dNLR) may have accurate predictability for prognosis in non-small cell lung cancer (NSCLC) treated with ICI therapy.

Methods

Complete blood count (CBC) was measured immediately before the first and second cycles of ICI therapy in patients with advanced NSCLC. Differences in NLR and dNLR were measured. When the increase in NLR was ≥1, the patient was classified into the increased NLR group. Similarly, when the increase in dNLR was ≥1, the patient was classified into the increased dNLR group; otherwise, they were classified into the non-increased NLR or dNLR group.

Results

A total of 89 patients was selected for evaluation. Median progression-free survival (PFS) was significantly shorter in the increased NLR group than in the non-increased NLR group (2.6 vs. 9.5 months, P<0.001). The increased dNLR group showed significantly shorter median PFS than the non-increased dNLR group (4.2 vs. 9.2 months, P=0.001). Association with PFS was analyzed using the Cox regression model. In model 1, increase ≥1 in NLR showed significant association (HR =3.085, 95% CI, 1.657–5.742, P<0.001). In model 2, increase ≥1 in dNLR showed significant association (HR =2.826, 95% CI, 1.436–5.561, P=0.003).

Conclusions

Early changes in dNLR were shown to have prognostic value in patients undergoing immunotherapy. It can be an accurate and a comprehensive biomarker for predicting ICI response.

Bloodborne Cytokines for Predicting Clinical Benefits and Immune-Related Adverse Events in Advanced Non-Small Cell Lung Cancer Treated With Anti-Programmed Cell Death 1 Inhibitors

BACKGROUND

Programmed cell death ligand 1 is a biomarker of immune checkpoint inhibitors (ICIs) for treating advanced non-small-cell lung cancer (NSCLC). Here, we evaluated serum proteins from patients with advanced NSCLC treated with ICIs to determine their potential as noninvasive predictive biomarkers for efficacy and immune-related adverse events (irAEs).

PATIENTS AND METHODS

Patients with advanced NSCLC who received nivolumab or pembrolizumab monotherapy until disease progression or unacceptable toxicity were integrated with previously reported nivolumab-treated patients. Blood samples were collected serially from baseline until the disease progressed. Serum protein levels were quantified using the Luminex assay. Associations of clinical benefit (CB) and onset of irAEs with serum protein levels were evaluated.

RESULTS

Sixty-three patients with advanced NSCLC were studied, and we used 63 and 47 paired serum samples at baseline and the second sampling point, respectively, for efficacy analysis. Baseline growth-regulated oncogene 1 (GRO-1) levels were significantly lower in durable CB (DCB) patients than in non-DCB patients (P < .05). Changes in monocyte chemoattractant protein 1 (MCP-1) levels significantly decreased between baseline and the second sampling point (P < .05). Patients with the low GRO-1/decreased MCP-1 subtype showed significantly longer progression-free survival (PFS) and overall survival (OS) than the high GRO-1/increased MCP-1 subgroup did (median PFS, not reached vs. 47 days, P < .0001; median OS, 985 days vs. 148 days, P = .0002, respectively). Elevated GRO-1 levels were associated with immune-related adverse event onset.

CONCLUSIONS

Serum GRO-1 and MCP-1 levels can identify patients with advanced NSCLC who are likely to benefit from ICI treatment. Time-course tracing of these protein levels might be valuable in ICI treatment.

Impact of C-reactive protein flare-response on oncological outcomes in patients with metastatic renal cell carcinoma treated with nivolumab

BACKGROUND

The dynamic change in C-reactive protein (CRP) levels, CRP kinetics, is a prognostic factor for metastatic renal cell carcinoma (mRCC) in the tyrosine kinase inhibitor era. We investigated the impact of early CRP kinetics on the efficacy of nivolumab in patients with mRCC.

METHODS

We performed a retrospective analysis of 42 mRCC patients who were treated with nivolumab as a second-line or later therapy between 2016 and 2019. All patients had received previous TKI therapy. Patients were divided into three groups based on their early CRP kinetics: CRP levels increased to more than double compared with baseline within 1 month after initiation of nivolumab (flare) and then decreased to a lower value than baseline within 3 months (CRP flare-responders); CRP levels decreased by ≥30% within 3 months without "flare" (CRP responders); and the remaining patients (non-CRP responders). The maximum tumor shrinkage, objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) were evaluated. The association of the early CRP kinetics and oncological outcomes was assessed.

RESULTS

The median follow-up period was 8 months. The median baseline CRP level was 23 mg/L. CRP flare-responders, CRP responders, and non-CRP responders included 11 (26%), 15 (36%), and 16 (38%) patients, respectively. Thirteen patients (31%) died of mRCC. The maximum changes in target lesions from baseline of CRP flare-responder, CRP-responder, and non-CRP responder groups were -38%, -13%, and 16%, on average, respectively (p<0.001). ORRs of these three groups were 73%, 27%, and 6%, respectively (p<0.001). The median PFS values of each group were not reached, 12 months, and 2.4 months (p=0.005), and the median OS values were not reached, not reached, and 12 months (p=0.048). In a multivariate analysis, early CRP kinetics was a significant independent factor for objective response, PFS, and OS (p<0.001, p=0.004, and p=0.006, respectively).

CONCLUSIONS

CRP flare-response was associated with significant tumor shrinkage and improved survival outcomes in patients with mRCC who were treated with nivolumab. Early CRP kinetics could be useful for evaluating nivolumab treatment efficacy.

Potential predictive value of change in inflammatory cytokines levels subsequent to initiation of immune checkpoint inhibitor in patients with advanced non-small cell lung cancer

For a definite indication for immunotherapy, finding appropriate biomarkers that are predictive of treatment responses is necessary. Inflammatory cytokines which play critical roles in immunity against infectious sources or cancer cells are suggested to activate immune cells after initiation of immune checkpoint inhibitors (ICI). Through activation of immune cells such as T cells, natural killer cells, macrophages, or tumor infiltrating dendritic cells, inflammatory cytokines usually increase after programmed death (PD)-1/PD-L1 axis blockade. There have been several studies evaluating the predictive value of early changes in inflammatory cytokines in non-small cell lung cancer (NSCLC) patients undergoing immunotherapy. In this mini-review, we went through recent articles on potential blood level values of inflammatory cytokines in NSCLC patients receiving ICI and their early change around commencement of ICIs in predicting response to treatment and disease progression. The studies evaluated cytokines including interleukin (IL)-2, 6, 8, interferon (IFN)-γ, and tumor necrosis factor (TNF)-α for predictability for responses to ICI. A combination cytokine panel can help predict the response and prognosis of patients with NSCLC who are receiving ICI treatment. Furthermore, a more individualized ICI treatment will be available if responses and change in tumor burden can be predicted. However, most of the studies on cytokines in NSCLC patients receiving ICIs had a small number of patients, and the heterogeneous measurement time points. Nevertheless, cytokines such as IL-8 and IFN- γ have considerable potential predictive value for immunotherapy response, which is worthy of further studies. To utilize blood cytokines levels as biomarkers for immunotherapy, a larger study with uniform measurement protocol is necessary.

Association between serum level soluble programmed cell death ligand 1 and prognosis in patients with non-small cell lung cancer treated with anti-PD-1 antibody

Background

Programmed cell death ligand 1 (PD‐L1) is known to have soluble forms aside from its membrane‐bound forms. The aim of this study was to evaluate the predictive and prognostic values of serum soluble PD‐L1 (sPD‐L1) in patients with non‐small cell lung cancer (NSCLC) who were treated with anti‐PD‐1 antibody.

Methods

A total of 233 patients were enrolled in this study. We assessed the level of serum sPD‐L1 before anti‐PD‐1 antibody treatment (pembrolizumab or nivolumab) and evaluated the correlation with PD‐L1 expression on tumor cells, the response to anti‐PD‐1 antibody treatment, and patient outcome.

Results

The median serum sPD‐L1 concentration was 67.7 (range, 25 to 223) pg/mL. A weak correlation between serum sPD‐L1 and tumor PD‐L1 expression was observed. The disease control rate in the high sPD‐L1 group (≥90 pg/mL) was significantly lower than that in the low sPD‐L1 group (<90 pg/mL) (37% vs. 57%, P = 0.0158). The progression‐free survival (PFS) and overall survival (OS) in the high sPD‐L1 group were significantly shorter than those in the low sPD‐L1 group (median PFS, 57 days vs. 177 days, P = 0.011; median OS, 182 days vs. not reached, P < 0.001). The high level of serum sPD‐L1 was independently associated with a shorter PFS (hazard ratio [HR], 1.910; P = 0.061) and OS (HR, 2.073; P = 0.034) in multivariate analysis.

Conclusions

The serum sPD‐L1 level, which was only weakly correlated with the tumor PD‐L1 expression level, was an independent predictive and prognostic biomarker for NSCLC patients receiving anti‐PD‐1 antibody.

Key points

Significant findings of the study

The disease control rate in the high sPD‐L1 group was significantly lower than that in the low sPD‐L1 group. The progression‐free survival (PFS) and overall survival (OS) in the high sPD‐L1 group were significantly shorter than those in the low sPD‐L1 group. The high level of serum sPD‐L1 was independently associated with a shorter PFS and OS in multivariate analysis.

What this study adds

This study demonstrated that serum sPD‐L1 level was an independent predictive and prognostic biomarker for NSCLC patients receiving anti‐PD‐1 antibody.