Age-associated changes in the immune system may influence the response to anti-PD1 therapy in metastatic melanoma patients

Impact of metabolic and nutritional disorders on the synergy between radiotherapy and immunotherapy in non-small-cell lung cancer

BACKGROUND

Patient conditions including metabolic and nutritional status were reported to be prognostic or predictive biomarkers of anti-cancer treatment, while little attention has been paid to its association with the synergistic effect of radiotherapy (RT) and immune checkpoint inhibitors (ICIs).

METHODS

Metastatic non-small-cell lung cancer (mNSCLC) patients who received concurrent RT and ICIs between 2018 and 2023 were included in this study. In addition, mNSCLC patients treated with ICIs alone were enrolled to confirm the synergetic effect of RT and ICIs. Clinicopathological, metabolic and nutritional factors were collected to analyze their influence on progression-free survival (PFS), overall survival and abscopal control time. Abdominal CT was used to obtain body composition data including abdominal obesity and muscle mass.

RESULTS

A total of 96 mNSCLC patients who received RT concurrent with ICIs were included, and a synergistic effect of significantly improved PFS was observed when compared with patients treated with ICIs alone. Among patients undergoing concurrent RT and ICIs, both total adipose area(HR = 2.81,P = 0.029) and prognosis nutritional index (HR = 0.24, P<0.001) were confirmed as independent positive prognostic markers for PFS. Later-line of immunotherapy (HR = 3.67, P = 0.006), low visceral-to-subcutaneous ratio (VSR, HR = 5.53, P = 0.002), high total adipose area (HR = 5.21, P = 0.0016) and high prognostic nutritional index (HR = 0.24, P = 0.002) were independent risk factors for abscopal progression. Then, we established a scoring system consisting of metabolic and nutritional factors to stratify patients into three groups. Patients with non-visceral obesity and good nutrition status have the longest PFS and abscopal control survival, while patients with poor nutritional status regardless of body composition represent the worst prognosis.

CONCLUSION

Metabolic and nutritional status, particularly the combined assessment of body composition and nutritional index, serves as a valuable predictor for the synergistic efficacy of concurrent RT and ICIs.

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.

Immunotherapy in melanoma: Can we predict response to treatment with circulating biomarkers?

Melanoma is the most aggressive form of skin cancer, representing approximately 4% of all cutaneous neoplasms and accounting for up to 80% of deaths. Advanced stages of melanoma involve metastatic processes and are associated with high mortality and morbidity, mainly due to the rapid dissemination and heterogeneous responses to current therapies, including immunotherapy. Immune checkpoint inhibitors (ICIs) are currently used in the treatment of metastatic melanoma (MM) and despite being linked to an increase in patient survival, a high percentage of them still do not benefit from it. Accordingly, the number of therapeutic regimens for MM patients using ICIs either alone or in combination with other therapies has increased, together with the need for reliable biomarkers that can both predict and monitor response to ICIs. In this context, circulating biomarkers, such as DNA, RNA, proteins, and cells, have emerged due to their ability to reflect disease status. Moreover, blood tests are minimally invasive and provide an attractive option to detect biomarkers, avoiding stressful medical procedures. This systematic review aims to evaluate the possibility of a non-invasive biomarker signature that can guide therapeutic decisions. The studies reported here offer valuable insight into how circulating biomarkers can have a role in personalized treatments for melanoma patients receiving ICIs therapy, emphasizing the need for rigorous clinical trials to confirm findings and establish standardized procedures.

Regorafenib combined with a PD-1 inhibitor in the second-line setting for unresectable hepatocellular carcinoma in real-world practice

BACKGROUND

Most advanced hepatocellular carcinoma (HCC) cases administered molecular targeted agents and/or anti-programmed cell death-1 (PD-1) inhibitors have no response or develop resistance. Moreover, second-line therapies still cannot provide beneficial clinical outcomes. A pilot study assessing combined regorafenib and PD-1 inhibitor as second-line treatment of advanced HCC reported promising effectiveness.

METHODS

The current single-center, retrospective, real-world study was carried out between January 2019 and July 2021. Advanced HCC cases were administered second-line regorafenib combined with a PD-1 inhibitor or regorafenib alone were assessed. Progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR) were determined.

RESULTS

Totally 46 HCC cases were analyzed, most of whom underwent previous systemic treatment comprising targeted therapy and immunotherapy. Tumor response was evaluated in 25 and 21 individuals in the regorafenib + PD-1 inhibitor and regorafenib monotherapy groups, respectively: ORRs were 21.7% and 8.7%, and DCRs were 47.8% and 32.6%, respectively. Median PFS was markedly longer in the regorafenib plus PD-1 inhibitor group (11.5 months) compared with the regorafenib monotherapy group (5.1 months, P=0.049).

CONCLUSIONS

This study suggested regorafenib and a PD-1 inhibitor in combination may provide significant clinical benefits in HCC cases showing progression following first-line treatment. Further analysis in real-world studies with large cohorts is warranted to confirm these findings.

Epigenetic control of CD1D expression as a mechanism of resistance to immune checkpoint therapy in poorly immunogenic melanomas

Immune Checkpoint Therapies (ICT) have revolutionized the treatment of metastatic melanoma. However, only a subset of patients reaches complete responses. Deficient β2-microglobulin (β2M) expression impacts antigen presentation to T cells, leading to ICT resistance. Here, we investigate alternative β2M-correlated biomarkers that associate with ICT resistance. We shortlisted immune biomarkers interacting with human β2M using the STRING database. Next, we profiled the transcriptomic expression of these biomarkers in association with clinical and survival outcomes in the melanoma GDC-TCGA-SKCM dataset and a collection of publicly available metastatic melanoma cohorts treated with ICT (anti-PD1). Epigenetic control of identified biomarkers was interrogated using the Illumina Human Methylation 450 dataset from the melanoma GDC-TCGA-SKCM study. We show that β2M associates with CD1d, CD1b, and FCGRT at the protein level. Co-expression and correlation profile of B2M with CD1D, CD1B, and FCGRT dissociates in melanoma patients following B2M expression loss. Lower CD1D expression is typically found in patients with poor survival outcomes from the GDC-TCGA-SKCM dataset, in patients not responding to anti-PD1 immunotherapies, and in a resistant anti-PD1 pre-clinical model. Immune cell abundance study reveals that B2M and CD1D are both enriched in tumor cells and dendritic cells from patients responding to anti-PD1 immunotherapies. These patients also show increased levels of natural killer T (NKT) cell signatures in the tumor microenvironment (TME). Methylation reactions in the TME of melanoma impact the expression of B2M and SPI1, which controls CD1D expression. These findings suggest that epigenetic changes in the TME of melanoma may impact β2M and CD1d-mediated functions, such as antigen presentation for T cells and NKT cells. Our hypothesis is grounded in comprehensive bioinformatic analyses of a large transcriptomic dataset from four clinical cohorts and mouse models. It will benefit from further development using well-established functional immune assays to support understanding the molecular processes leading to epigenetic control of β2M and CD1d. This research line may lead to the rational development of new combinatorial treatments for metastatic melanoma patients that poorly respond to ICT.

Toxicity and response to ipilimumab and nivolumab in older patients with metastatic melanoma: A multicentre retrospective analysis

INTRODUCTION

Combination immunotherapy with nivolumab and ipilimumab is an effective therapy in the treatment of metastatic melanoma, however, its benefit in older patients is unclear.

METHODS

A multicentre retrospective study was performed to compare the efficacy and toxicity of combination immunotherapy in metastatic melanoma in patients ≥65 years versus <65 years, and complications of steroids used to manage toxicity.

RESULTS

139 patients were included with 52 patients ≥65years [median age: 70; range: 65-83] and 87 patients <65 years [median age: 52; range: 22-64]. Median overall survival was similar in patients ≥65 years versus <65 years [14.9 v 17.3months p=0.58]. Median progression free survival was also similar in both groups [7.1 v 6.9months p=0.79], as was overall response rate [48.1% v 44.8% p=0.73]. Age was not associated with a difference in overall survival on multivariate analysis. There was similar rates of Grade 3 or higher adverse events in patients ≥65 years v <65 years [50 v 49% p=1.0] and discontinuation rates secondary to toxicity [55.8 v 56% p=1.0]. Median duration of steroids used to treat adverse events was similar [11 v 12weeks p=0.46]. Complications of steroids requiring inpatient admission was numerically higher in the older patients [41.3 v 20.4% p=0.07].

CONCLUSION

Patients ≥65years received similar benefit from combination immunotherapy in comparison to their younger counterparts with similar toxicity.

Proteomics approaches to characterize the immune responses in cancer

Despite the dynamic development of cancer research, annually millions of people die of cancer. The human immune system is the major 'guard' against tumor development. Unfortunately, cancer cells have the ability to evade the immune system and continue to grow. The proper understanding of the intricate immune response in tumorigenesis remains the holy grail of cancer immunology and designing effective immunotherapy. To decode the immune responses in cancer, in recent years, proteomics studies have received considerable attention. Proteomics studies focus on the detection and quantification of proteins, which are the effectors of biological functions, and as such, are proven to reflect the cell state more accurately, in comparison to genomic or transcriptomic studies. In this review, we discuss the proteomics studies applied to characterize the immune responses in cancer and tumor immune microenvironment heterogeneity. Further, we describe emerging single-cell proteomics approaches that have the potential to be applied in cancer immunity studies.

Progress and Challenges of Predictive Biomarkers for Immune Checkpoint Blockade

Over the past decade, immune checkpoint blockade (ICB) therapy has revolutionized the outlook for oncology with significant and sustained improvement in the overall patient survival. Unlike traditional cancer therapies, which target the cancer cells directly, ICB acts on the immune system to enhance anti-tumoral immunity. However, the response rate is still far from satisfactory and most patients are refractory to such treatment. Unfortunately, the mechanisms underlying such heterogeneous responses between patients to ICB therapy remain unclear. In addition, escalating costs of cancer care and unnecessary immune-related adverse events also are pertinent considerations with applications of ICB. Given these issues, identifying explicit predictive biomarkers for patient selection is an urgent unmet need to increase the efficacy of ICB therapy. The markers can be classified as tumor related and non-tumor-related biomarkers. Although substantial efforts have been put into investigating various biomarkers, none of them has been found to be sufficient for effectively stratifying patients who may benefit from immunotherapy. The present write up is an attempt to review the various emerging clinically relevant biomarkers affecting the efficacy of immune checkpoint inhibitors, as well as the limitations associated with their clinical application.

Immune Profile Analysis in Peripheral Blood and Tumor in Patients with Malignant Melanoma

Melanoma is a severe and life-threatening malignancy derived from melanocytes. The traditional treatment for melanoma could not sustain satisfactory outcomes long term; however, the recent immune checkpoint treatment has made a breakthrough in these problems. Nivolumab is a representative immune checkpoint treatment, and this PD-1-targeted therapy has evolutionally developed and improved the clinical outcome in a recent decade. On the other hand, the clinical application of immune checkpoint treatment presents clinicians with novel questions, especially how to obtain additional efficacy and overcome the disadvantage by using this treatment. To answer these problems, we first investigated the distribution of PD-L1 in various organs to clarify the organs most affected by anti-PD-1 antibody treatment. Among various organs, lung, placenta, spleen, heart, and thyroid highly expressed PD-L1, while skin, thalamus, hippocampus, ovary, stomach, testis, and prostate showed lower expressions of PD-L1. Furthermore, the immune profiles were also examined in tumors and peripheral blood in patients with melanoma. PD-1 was highly expressed in CD8 and CD4 cells, and B cells also highly expressed PD-1 compared with NK cells. However, there was no significant difference in Th1/Th2/Th17 cytokines and inhibitory cytokine IL-10. Although nevus showed a low expression of PD-L1 compared with healthy skin, PD-L1 expression was increased in growth-phase melanoma. Finally, we analyzed the peripheral blood profiles in patients treated with nivolumab. PD-1-bearing dendritic cells (DCs) were increased during nivolumab treatment and Lin-CD11c+HLA-DR+ cells were highly increased during nivolumab treatment. These findings indicate a clue to answering the problems during nivolumab treatment and suggest to us the importance of multiple aspect observation during immune checkpoint treatment.

Regulation of the human NK cell compartment by pathogens and vaccines

Natural killer cells constitute a phenotypically diverse population of innate lymphoid cells with a broad functional spectrum. Classically defined as cytotoxic lymphocytes with the capacity to eliminate cells lacking self‐MHC or expressing markers of stress or neoplastic transformation, critical roles for NK cells in immunity to infection in the regulation of immune responses and as vaccine‐induced effector cells have also emerged. A crucial feature of NK cell biology is their capacity to integrate signals from pathogen‐, tumor‐ or stress‐induced innate pathways and from antigen‐specific immune responses. The extent to which innate and acquired immune mediators influence NK cell effector function is influenced by the maturation and differentiation state of the NK cell compartment; moreover, NK cell differentiation is driven in part by exposure to infection. Pathogens can thus mould the NK cell response to maximise their own success and/or minimise the damage they cause. Here, we review recent evidence that pathogen‐ and vaccine‐derived signals influence the differentiation, adaptation and subsequent effector function of human NK cells.

Clinical Implications of Aberrant PD-1 and CTLA4 Expression for Cancer Immunity and Prognosis: A Pan-Cancer Study

Combination therapy with inhibitors of cytotoxic T lymphocyte-associated protein (CTLA)4 and programmed death (PD)-1 has demonstrated efficacy in cancer patients. However, there is little information on CTLA4 and PD-1 expression levels and their clinical significance across diverse cancers. In this study, we addressed this question by analyzing PD-1 and CTLA4 levels in 33 different types of cancer along with their prognostic significance using The Cancer Genome Atlas (TCGA) and Cancer Cell Line Encyclopedia datasets. Liver hepatocellular carcinoma (LIHC) patients receiving cytokine-induced killer cell (CIK) immunotherapy at Sun Yat-sen University cancer center were enrolled for survival analysis. The correlation between PD-1/CTLA4 expression and cancer immunity was also analyzed. The results showed that PD-1 and CTLA4 transcript levels varied across cancer cell lines, with aberrant expression detected in certain cancer types; Kaplan–Meier analysis with the Cox proportional hazards model showed that this was closely related to overall survival in breast invasive carcinoma, glioblastoma multiforme, head and neck squamous cell carcinoma, acute myeloid leukemialymphoma, uterine corpus endometrial carcinoma, and uveal melanoma in TCGA. High serum PD-1 and CTLA4 levels predicted better survival in LIHC patients receiving CIK therapy. PD-1 and CTLA4 levels were found to be significantly correlated with the degree of tumor cell infiltration using Tumor Immune Estimation Resource, Estimating Relative Subsets of RNA Transcripts, and Estimation of Stromal and immune Cells in Malignant Tumor Tissues Using Expression Data as well as with tumor-infiltrating lymphocyte marker expression; they were also related to tumor mutation burden, microsatellite instability, mismatch repair, and the expression of DNA methyltransferases in some cancer types. Gene set enrichment analysis of 33 cancer types provided further evidence for associations between PD-1/CTLA4 levels and cancer development and immunocyte infiltration. Thus, PD-1 and CTLA4 play important roles in tumorigenesis and tumor immunity and can serve as prognostic biomarkers in different cancer types.

Antibody targeting tumor-derived soluble NKG2D ligand sMIC reprograms NK cell homeostatic survival and function and enhances melanoma response to PDL1 blockade therapy

BACKGROUND

Melanoma patients who have detectable serum soluble NKG2D ligands either at the baseline or post-treatment of PD1/PDL1 blockade exhibit poor overall survival. Among families of soluble human NKG2D ligands, the soluble human MHC I chain-related molecule (sMIC) was found to be elevated in melanoma patients and mostly associated with poor response to PD1/PDL1 blockade therapy.

METHODS

In this study, we aim to investigate whether co-targeting tumor-released sMIC enhances the therapeutic outcome of PD1/PDL1 blockade therapy for melanoma. We implanted sMIC-expressing B16F10 melanoma tumors into syngeneic host and evaluated therapeutic efficacy of anti-sMIC antibody and anti-PDL1 antibody combination therapy in comparison with monotherapy. We analyzed associated effector mechanism. We also assessed sMIC/MIC prevalence in metastatic human melanoma tumors.

RESULTS

We found that the combination therapy of the anti-PDL1 antibody with an antibody targeting sMIC significantly improved animal survival as compared to monotherapies and that the effect of combination therapy depends significantly on NK cells. We show that combination therapy significantly increased IL-2Rα (CD25) on NK cells which sensitizes NK cells to low dose IL-2 for survival. We demonstrate that sMIC negatively reprograms gene expression related to NK cell homeostatic survival and proliferation and that antibody clearing sMIC reverses the effect of sMIC and reprograms NK cell for survival. We further show that sMIC/MIC is abundantly present in metastatic human melanoma tumors.

CONCLUSIONS

Our findings provide a pre-clinical proof-of-concept and a new mechanistic understanding to underscore the significance of antibody targeting sMIC to improve therapeutic efficacy of anti-PD1/PDL1 antibody for MIC/sMIC⁺ metastatic melanoma patients.