Immunotherapy for castration-resistant prostate cancer: has its time arrived?

Efficacy and Safety of Programmed Death-1 (PD-1)/Programmed Death-Ligand 1 (PD-L1) Checkpoint Inhibitors in Patients With Metastatic Castration-resistant Prostate Cancer: A Systematic Review and Meta-analysis

AIMS

The aim of this systematic review with meta-analysis was to evaluate the efficacy and safety of programmed death-1 (PD-1)/programmed death-ligand 1 (PD-L1) checkpoint inhibitors in patients with metastatic castration-resistant prostate cancer (mCRPC).

MATERIALS AND METHODS

We searched PubMed, Embase and Cochrane Library until 1 July 2022 for mCRPC trials testing PD-1/PD-L1 checkpoint inhibitors. We measured the efficacy and safety using overall survival, progression-free survival (PFS), overall response rates (ORR), prostate-specific antigen (PSA) response rate or treatment-related adverse events (TRAEs). When possible, data were meta-analysed.

RESULTS

Thirteen studies involving 2533 participants were included in this meta-analysis. The pooled hazard ratio for overall survival was 0.81 (95% confidence interval 0.42-1.20, I2 = 80.3%, PHeterogeneity＜0.001) and for PFS was 0.65 (95% confidence interval 0.38-0.92, I2 = 72.2%, PHeterogeneity = 0.013). Furthermore, better ORR (relative risk = 2.77, 95% confidence interval 1.25-6.13, I2 = 0%, PHeterogeneity = 0.699) was found in PD-L1-expressing tumours. However, no statistical trends between PD-L1 status on PSA response rate (relative risk = 0.79, 95% confidence interval 0.5-1.25, I2 = 0%, PHeterogeneity = 0.953) and tumour mutational burden on ORR (relative risk = 2.53, 95% confidence interval 0.49-13.12, I2 = 74.5%, PHeterogeneity = 0.02) were observed. The pooled proportions of TRAEs and ≥ grade 3 TRAEs were 85.1% (95% confidence interval = 71.7-98.5%) and 31.6% (95% confidence interval = 18.9-44.4%), respectively.

CONCLUSIONS

This meta-analysis showed that among selected populations of men with mCRPC, anti-PD-1/PD-L1 combination treatment may significantly increase the PFS benefits. However, overall survival in mCRPC warrants further testing.

Plasma cell subtypes analyzed using artificial intelligence algorithm for predicting biochemical recurrence, immune escape potential, and immunotherapy response of prostate cancer

Background

Plasma cells as an important component of immune microenvironment plays a crucial role in immune escape and are closely related to immune therapy response. However, its role for prostate cancer is rarely understood. In this study, we intend to investigate the value of a new plasma cell molecular subtype for predicting the biochemical recurrence, immune escape and immunotherapy response in prostate cancer.

Methods

Gene expression and clinicopathological data were collected from 481 prostate cancer patients in the Cancer Genome Atlas. Then, the immune characteristics of the patients were analyzed based on plasma cell infiltration fractions. The unsupervised clustering based machine learning algorithm was used to identify the molecular subtypes of the plasma cell. And the characteristic genes of plasma cell subtypes were screened out by three types of machine learning models to establish an artificial neural network for predicting plasma cell subtypes. Finally, the prediction artificial neural network of plasma cell infiltration subtypes was validated in an independent cohort of 449 prostate cancer patients from the Gene Expression Omnibus.

Results

The plasma cell fraction in prostate cancer was significantly decreased in tumors with high T stage, high Gleason score and lymph node metastasis. In addition, low plasma cell fraction patients had a higher risk of biochemical recurrence. Based on the differential genes of plasma cells, plasma cell infiltration status of PCa patients were divided into two independent molecular subtypes(subtype 1 and subtype 2). Subtype 1 tends to be immunosuppressive plasma cells infiltrating to the PCa region, with a higher likelihood of biochemical recurrence, more active immune microenvironment, and stronger immune escape potential, leading to a poor response to immunotherapy. Subsequently, 10 characteristic genes of plasma cell subtype were screened out by three machine learning algorithms. Finally, an artificial neural network was constructed by those 10 genes to predict the plasma cell subtype of new patients. This artificial neural network was validated in an independent validation set, and the similar results were gained.

Conclusions

Plasma cell infiltration subtypes could provide a potent prognostic predictor for prostate cancer and be an option for potential responders to prostate cancer immunotherapy.

Understanding the tumor-immune microenvironment in prostate cancer

PURPOSE OF REVIEW

This review aims to highlight recent advances in prostate cancer tumor-immune microenvironment research and summarize the state-of-the-art knowledge of immune checkpoint inhibitors in prostate cancer.

RECENT FINDINGS

Immune checkpoint inhibitors are the cornerstone of modern immunotherapy which have shown encouraging results across a spectrum of cancers. However, only limited survival benefit has been seen in patients with prostate cancer. Prostate cancer progression and its response to immunotherapies are strongly influenced by the tumor-immune microenvironment, whose feature can be summarized as low amounts of tumor-specific antigens, low frequency of tumor-infiltrating lymphocytes and high frequency of tumor-associated macrophages. To improve the therapeutic effect of immunotherapies, in recent years, many strategies have been applied, of which the most promising ones include the combination of multiple immunotherapeutic agents, the combination of an immunotherapeutic agent with other modalities in parallel or in sequential, and the development of biomarkers to find a subgroup of patients who may benefit the most from immunotherapeutic agents.

SUMMARY

The impact of immune content and specific immune cell types on prostate cancer biology is highly complex. Recent clinical trials have shed light on the optimal use of immunotherapies for prostate cancer.

Immune functions as a ligand or a receptor, cancer prognosis potential, clinical implication of VISTA in cancer immunotherapy

Since cancer immunotherapy with immune checkpoint inhibitors of PD/PDL-1 and CTLA-4 limited efficacy to the patients due to resistance during the current decade, novel target is required for customized treatment due to tumor heterogeneity. V-domain Ig-containing suppressor of T cell activation (VISTA), a programmed death protein-1(PD-1) homolog expressed on T cells and on antigen presenting cells(APC), has emerged as a new target in several cancers. Though VISTA inhibitors including CA-170 are considered attractive in cancer immunotherapy to date, the information on VISTA as a potent biomarker of cancer prognosis and its combination therapy is still lacking to date. Thus, in this review, we discussed extracellular domain, ligands, expression, immune functions and clinical implications of VISTA and finally suggested conclusion and perspectives.

Integrated Analysis of the Transcriptome Profile Reveals the Potential Roles Played by Long Noncoding RNAs in Immunotherapy for Sarcoma

Background

Long-term survival is still low for high-risk patients with soft tissue sarcoma treated with standard management options, including surgery, radiation, and chemotherapy. Immunotherapy is a promising new potential treatment paradigm. However, the application of immune checkpoint inhibitors for the treatment of patients with sarcoma did not yield promising results in a clinical trial. Therefore, there is a considerable need to identify factors that may lead to immune checkpoint inhibitor resistance.

Methods

In this study, we performed a bioinformatic analysis of The Cancer Genome Atlas (TCGA) to detect key long noncoding RNAs (lncRNAs) that were correlated with immune checkpoint inhibitory molecules in sarcoma. The expression levels of these lncRNAs and their correlation with patient prognosis were explored. The upstream long noncoding RNAs were also examined via 450K array data from the TCGA. The potential roles of these lncRNAs were further examined via KEGG and GO analysis using DAVID online software. Finally, the relationship between these lncRNAs and immune cell infiltration in tumors and their effect on immune checkpoint inhibitors were further explored.

Results

We identified lncRNAs correlated with tumor cell immune evasion in sarcoma. The expression of these lncRNAs was upregulated and correlated with worse prognosis in sarcoma and other human cancer types. Moreover, low DNA methylation occupation of these lncRNA loci was detected. Negative correlations between DNA methylation and lncRNA expression were also found in sarcoma and other human cancer types. KEGG and GO analyses indicated that these lncRNAs correlated with immune evasion and negative regulation of the immune response in sarcoma. Finally, high expression of these lncRNAs correlated with more suppressive immune cell infiltration and reduced sensitivity to immune checkpoint inhibitors in sarcoma and other human cancer types.

Conclusion

Our results suggest that long noncoding RNAs confer immune checkpoint inhibitor resistance in human cancer. Further characterization of these lncRNAs may help to elucidate the mechanisms underlying immune checkpoint inhibitor resistance and uncover a novel therapeutic intervention point for immunotherapy.

Immune Checkpoints, Inhibitors and Radionuclides in Prostate Cancer: Promising Combinatorial Therapy Approach

Emerging research demonstrates that co-inhibitory immune checkpoints (ICs) remain the most promising immunotherapy targets in various malignancies. Nonetheless, ICIs have offered insignificant clinical benefits in the treatment of advanced prostate cancer (PCa) especially when they are used as monotherapies. Current existing PCa treatment initially offers an improved clinical outcome and overall survival (OS), however, after a while the treatment becomes resistant leading to aggressive and uncontrolled disease associated with increased mortality and morbidity. Concurrent combination of the ICIs with radionuclides therapy that has rapidly emerged as safe and effective targeted approach for treating PCa patients may shift the paradigm of PCa treatment. Here, we provide an overview of the contextual contribution of old and new emerging inhibitory ICs in PCa, preclinical and clinical studies supporting the use of these ICs in treating PCa patients. Furthermore, we will also describe the potential of using a combinatory approach of ICIs and radionuclides therapy in treating PCa patients to enhance efficacy, durable cancer control and OS. The inhibitory ICs considered in this review are cytotoxic T-lymphocyte antigen 4 (CTLA4), programmed cell death 1 (PD1), V-domain immunoglobulin suppressor of T cell activation (VISTA), indoleamine 2,3-dioxygenase (IDO), T cell Immunoglobulin Domain and Mucin Domain 3 (TIM-3), lymphocyte-activation gene 3 (LAG-3), T cell immunoreceptor with Ig and ITIM domains (TIGIT), B7 homolog 3 (B7-H3) and B7-H4.

Refining Immuno-Oncology Approaches in Metastatic Prostate Cancer: Transcending Current Limitations

OPINION STATEMENT

Due to its immunosuppressive tumor microenvironment, prostate cancer has historically been difficult to treat with immuno-oncology approaches. Other than pembrolizumab, which is now regulatory-approved for all microsatellite instability (MSI)-high and tumor mutational burden (TMB)-high advanced solid tumors, sipuleucel-T is the only immunotherapeutic agent approved by the US Food and Drug Administration (FDA) for prostate cancer. However, sipuleucel-T efficacy is optimal for select patients with indolent metastatic castration-resistant prostate cancer. Although manipulation of immune regulation by blocking immune checkpoints has led to substantial benefit in many cancers, experience with single-agent CTLA-4 and PD-1 or PD-L1 antibodies has shown limited effect for the majority of patients with prostate cancer, especially when administered as monotherapy. Combination therapies are now being attempted, in addition to enrichment strategies employing patient clinicopathologic and biologic characteristics that may heighten responses to immuno-oncology treatment, such as PD-L1 expression, TMB, MSI status, and alterations in CDK12. More work is needed to overcome the immune-exclusive barriers in prostate cancer, such as relatively low TMB, increased activity of myeloid-derived suppressor cells (MDSCs) and regulatory T cells, and defects in major histocompatibility complex (MHC) class I expression and interferon (IFN)-1 signaling. A promising approach and the likely next step in immuno-oncology for prostate cancer involves forced direction to markers expressed by prostate cancer tumor cells, such as prostate-specific membrane antigen (PSMA), that bypass the typical requirements for MHC class I interaction. The future will incorporate bispecific antibodies and chimeric antigen receptor (CAR)-T cells, potentially targeted towards phenotypic markers identified by next-generation PET imaging as part of the next wave of "precision medicine" in prostate cancer. Ultimately, we believe that the immune-exclusive prostate cancer tumor microenvironment can be overcome, and that patient outcomes can be enhanced through these more refined immuno-oncology approaches.

Mitoxantrone triggers immunogenic prostate cancer cell death via p53-dependent PERK expression

BACKGROUND

Mitoxantrone (MTX) is a synthetic compound used as a second line chemotherapeutic drug for prostate cancer. It has been reported to trigger immunogenic cell death (ICD) in animal model studies, but the underlying mechanism is not fully understood yet, especially not in prostate cancer cells.

METHODS

ICD was determined by assessing the release of damage-associated molecular patterns (DAMPs) in the prostate cancer-derived cell lines LNCaP, 22RV1 and PC-3. Short hairpin RNAs (shRNAs) were used to knock down target gene expression. Phagocytosis was assessed using a dual labeling technology in dendric cells co-cultured with cancer cells. The PERK gene promoter was cloned for dual luciferase assays. Chromatin immunoprecipitation (ChIP) was used to determine p53 protein-DNA binding activity. Immunocompetent mice and murine RM-1 prostate cancer cells were used for vaccination experiments.

RESULTS

MTX treatment induced typical characteristics of DAMP release, including increased cell surface exposure of calreticulin (CALR), and extracellular release of ATP and high mobility group box-1 (HMGB1) protein. MTX also enhanced phagocytosis by dendritic cells. Moreover, MTX treatment increased eukaryotic initiation factor 2α (eIF2α) S51 phosphorylation, which was reduced when PERK and GCN2 were silenced using shRNAs. In addition, PERK or GCN2 silencing significantly reduced MTX-induced release of DAMPs in vitro and anti-tumor immunity in vivo. MTX treatment also resulted in dendritic cell activation in mice, which was attenuated when PERK or GCN2 were silenced in cancer cells used for vaccination. Further analysis revealed that PERK and GCN2 expression was enhanced by MTX treatment, of which PERK, but not GCN2, was enhanced via a p53-dependent mechanism.

CONCLUSION

MTX triggers ICD by activating eIF2α via PERK/GCN2 upregulation in prostate cancer cells. MTX-induced PERK expression upregulation depends on the p53 pathway, while that of GCN2 requires further investigation.

A Systematic Review of the Emerging Role of Immune Checkpoint Inhibitors in Metastatic Castration-resistant Prostate Cancer: Will Combination Strategies Improve Efficacy?

CONTEXT

The role of immune checkpoint inhibition (ICI) in the treatment of prostate cancer (PC) still remains elusive. It has been proposed that combination of ICI with other molecules increases the efficacy of immunotherapy in PC.

OBJECTIVE

To systematically review the literature to assess the potential role of ICI in combination with additional therapies for the management of metastatic castration-resistant PC (mCRPC).

EVIDENCE ACQUISITION

A systematic review using Medline and scientific meeting records was carried out in September 2020 according to the Preferred Reporting Items for Systematic Review and Meta-analyses guidelines. Ongoing trials of immunotherapy with standard mCRPC therapeutics were identified via a systematic search on ClinicalTrials.gov.

EVIDENCE SYNTHESIS

A total of five full-text papers, ten congress abstracts, and 15 trials on ClinicalTrials.gov were identified. Preclinical evidence suggests that combinational approaches might be considered to enhance the efficacy of ICI in PC patients. This led to the design of more than 50 immunotherapy-based clinical trials. The majority of the studies focus on ICI combinations with vaccines, androgen deprivation therapy, chemotherapy, PARP inhibition, radiotherapy, and prostate-specific membrane antigen-guided radioligand therapy. Preliminary analyses reported promising findings for the use of ICI in combination with other anticancer therapies. However, no phase 3 trial has yet reported final results, so no level 1 evidence with long-term outcomes currently supports the combination of ICI with mCRPC therapies.

CONCLUSIONS

Preclinical and clinical trials have demonstrated that combining immunotherapy with standard mCRPC treatment options has the potential to provide a synergistic effect. Nonetheless, a better understanding of the mechanism and of the optimal treatment approach is still needed.

PATIENT SUMMARY

We reviewed the literature on immunotherapy in combination with standard treatments for patients with metastatic castration-resistant prostate cancer (mCRPC). Current evidence supports the hypothesis that immunotherapeutic drugs might be effective in mCRPC if combined with other treatment options. However, results of ongoing trials are still awaited before this novel treatment approach can be implemented in the daily practice.