Translational landscape of glioblastoma immunotherapy for physicians: guiding clinical practice with basic scientific evidence

Despite recent advances in cancer therapeutics, glioblastoma (GBM) remains one of the most difficult cancers to treat in both the primary and recurrent settings. GBM presents a unique therapeutic challenge given the immune-privileged environment of the brain and the aggressive nature of the disease. Furthermore, it can change phenotypes throughout the course of disease—switching between mesenchymal, neural, and classic gene signatures, each with specific markers and mechanisms of resistance. Recent advancements in the field of immunotherapy—which utilizes strategies to reenergize or alter the immune system to target cancer—have shown striking results in patients with many types of malignancy. Immune checkpoint inhibitors, adoptive cellular therapy, cellular and peptide vaccines, and other technologies provide clinicians with a vast array of tools to design highly individualized treatment and potential for combination strategies. There are currently over 80 active clinical trials evaluating immunotherapies for GBM, often in combination with standard secondary treatment options including re-resection and anti-angiogenic agents, such as bevacizumab. This review will provide a clinically focused overview of the immune environment present in GBM, which is frequently immunosuppressive and characterized by M2 macrophages, T cell exhaustion, enhanced transforming growth factor-β signaling, and others. We will also outline existing immunotherapeutic strategies, with a special focus on immune checkpoint inhibitors, chimeric antigen receptor therapy, and dendritic cell vaccines. Finally, we will summarize key discoveries in the field and discuss currently active clinical trials, including combination strategies, burgeoning technology like nucleic acid and nanoparticle therapy, and novel anticancer vaccines. This review aims to provide the most updated summary of the field of immunotherapy for GBM and offer both historical perspective and future directions to help inform clinical practice.

Anticalin®-based therapeutics: Expanding new frontiers in drug development

Anticalin proteins are a novel class of clinical-stage biopharmaceuticals with high potential in various disease areas. Anticalin proteins, derived from extracellular human lipocalins are single-chain proteins, with a highly stable structure that can be engineered to bind with high specificity and potency to targets of therapeutic relevance. The small size and stable structure support their development as inhalable biologics in the field of respiratory diseases as already demonstrated for PRS-060/AZD1402, an Anticalin protein currently undergoing clinical development for the treatment of asthma. Anticalin proteins provide formatting flexibility which allows fusion with the same or other Anticalin proteins, or with other biologics to generate multivalent, multiparatopic or multispecific fusion proteins. The fusion of Anticalin proteins to antibodies allows the generation of potent therapeutic proteins with new modes of action, such as antibody-Anticalin bispecific proteins with tumor-localized activity. Cinrebafusp alfa and PRS-344/S095012 antibody-Anticalin bispecific proteins were designed to reduce potential systemic toxicity by localizing the activity to the tumor, and are currently in clinical development in immuno-oncology. Furthermore, the ease in generating bi- and multispecifics as well as the small and stable structure prompted the investigation of Anticalin proteins for the CAR T space, opening additional potential treatment options based on Anticalin protein therapies.

The role of biomarkers in personalized immunotherapy

BACKGROUND

Immune checkpoint inhibitors have revolutionized cancer therapeutic paradigm and substantially improved the survival of patients with advanced malignancies. However, a significant limitation is the wide variability in clinical response.

MAIN TEXT

Several biomarkers have been evaluated in prior and ongoing clinical trials to investigate their prognostic and predictive role of patient response, nonetheless, most have not been comprehensively incorporated into clinical practice. We reviewed published data regarding biomarkers that have been approved by the United States Food and Drug Administration as well as experimental tissue and peripheral blood biomarkers currently under investigation. We further discuss the role of current biomarkers to predict response and response to immune checkpoint inhibitors and the promise of combination biomarker strategies. Finally, we discuss ideal biomarker characteristics, and novel platforms for clinical trial design including enrichment and stratification strategies, all of which are exciting and dynamic to advance the field of precision immuno-oncology.

CONCLUSION

Incorporation and standardization of strategies to guide selection of combination biomarker approaches will facilitate expansion of the clinical benefit of immune checkpoint inhibitor therapy to appropriate subsets of cancer patients.

Prognostic impact of complete metastasectomy in metastatic renal cell carcinoma in the era of immuno-oncology-based combination therapies

PURPOSE

Complete metastasectomy of renal cell carcinoma (RCC) is receding into the past due to the progress of immuno-oncology-based combinations (IO) in systemic therapy. The prognostic impact of curative intended complete metastasectomy vs. immediate IO-based therapy or tyrosine kinase inhibition (TKI) on progression-free survival (PFS) and cancer-specific survival (CSS) was investigated in the first-line setting.

METHODS

205 patients with synchronous or metachronous metastasis received complete metastasectomy (n = 80) or systemic therapy (n = 125, TKI: 87, TKI-IO: 13, IO-IO: 25) as first-line therapy. The prognostic impact of these therapies was assessed using Cox regression and Kaplan-Meier analyses.

RESULTS

First-line complete metastasectomy significantly improved CSS compared to both TKI monotherapy (6.1 vs. 2.6 years, HR 0.45, p < 0.001) and IO-based combination therapy (IO-IO/TKI-IO, 6.1 vs. 3.5 years, HR 0.28, p = 0.007). Repetitive complete metastasectomy without ever receiving systemic therapy vs. systemic therapy in first-line significantly prolonged CSS (11.3 vs. 3.1 years, HR 0.34, p = 0.002). First-line complete metastasectomy and subsequent systemic therapy at tumor progression was associated with a significant CSS benefit vs. systemic therapy (5.8 vs. 3.1 years, HR 0.53, p = 0.003), also compared to IO-based combinations (5.8 vs. 3.5 years, HR 0.30, p = 0.017). Median PFS was improved by IO-based therapy compared to TKI monotherapy in the first-line setting (HR 0.61, p = 0.05), with maximal benefit of the TKI-IO combination vs. TKI monotherapy (HR 0.27, p = 0.01), as well as compared to PFS of complete metastasectomy (HR 0.34, p = 0.035).

CONCLUSION

Despite the progress of IO-based combination therapies in first line, complete metastasectomy remains an integral part of the multimodality treatment of metastatic RCC.

The impact of an immuno-oncology service at a regional cancer centre based in the north west of the UK

This article discusses the implementation and development of a centralised immuno-oncology service. As the indications and licensing of oncological immune checkpoint inhibitors (ICIs) expanded rapidly, they brought with them increasing challenges. The article evaluates the impact of an immuno-oncology service, focusing on the following areas: admission rates due to immune-related adverse events (irAEs), number of bed days occupied due to immunotherapy toxicity and the incidence of Grade 3 and 4 (severe and life-threatening) irAEs. The article will also give an overview of patients requiring acute and subsequent management of toxicity as a percentage of the overall patients commenced on immunotherapy. The ultimate aim of the article is to highlight the importance of toxicity management and the overall benefits of a immuno-oncology service. The article will also discuss the impact of COVID-19 on the immuno-oncology service, highlighting the ways in which the team has adapted to the current environment to ensure high standards of patient care have been maintained.

Prognostic impact of natural killer cell recovery on minimal residual disease after autologous stem cell transplantation in multiple myeloma

INTRODUCTION

Natural killer cells are a potent effector lymphocyte subset that can induce cytotoxicity without the need for antigen sensitization or presentation. NK cells are a tempting target -for immune therapy, monoclonal antibody, or genetic engineering-to enhance immune surveillance mechanisms against myeloma cells.

MATERIALS AND METHODS

We hypothesized an association between natural killer cell recovery after autologous stem cell transplantation (ASCT) and disease outcomes in multiple myeloma patients. We concluded a prospective study that started enrolling patients in January 2020 to identify the association between absolute NK cell count two to three after ASCT and disease outcomes after autologous stem cell transplantation in multiple myeloma using univariate and multivariate analysis.

RESULTS

Natural killer cell recovery was evaluated during the third month after ASCT, day +60 to +90 post-ASCT. Our patients had a mean NK cell count of 90.53, ranging from 14 to 282 Cell/μL (Std Dev 84.64 Cell/μL). The odds of having a minimal residual disease (MRD-positivity) among patients with partial remission before transplantation is four times higher than patients with very good partial response or better (95% confidence interval 0.45-35.79). Our patients were classified into two groups based on MRD status after ASCT, an MRD-negative group of eight participants and an MRD-positive group of seven participants. The mean absolute NK cell count was significantly higher in the MRD-negative cohort, 131.38 Cell/μL, versus 43.86 Cell/μL in the MRD-positive group (p = 0.049).

CONCLUSION

We conclude that for multiple myeloma patients treated with ASCT, high absolute NK cell counts two to three months after ASCT is an independent predictor for MRD negativity.

An optimal two-stage exploratory basket trial design with aggregated futility analysis

A basket trial investigates the effects of one drug on multiple tumor indications. To discontinue potentially inactive indications early, interim futility analysis is usually conducted for each indication individually once it reaches the pre-specified sample size. As enrollment rates vary among indications, the futility decisions for slow-enrolling indications could be made much later than other fast-enrolling indications, which could delay the overall decision for the trial significantly. To accelerate the futility decision in early-stage exploratory basket trials and potentially reallocate resources to other compounds earlier while still controlling the global type-I and type-II errors, we propose an optimal two-stage basket trial design with one aggregated futility analysis by aggregating (e.g., pooling) all indications together. The total sample size across all indications is pre-specified for the futility analysis, while the sample size per indication can be adapted to the enrollment rate. The final analysis is performed using the pruning and pooling approach (Chen et al. 2016). The design parameters are optimized by minimizing the expected total sample size under the null hypothesis, while explicitly controlling the global type-I and the type-II error rates. Simulation studies demonstrate that the proposed design has better operating characteristics than the designs with individual futility analysis (Zhou et al. 2019; Wu et al. 2021), while allowing for earlier futility decision.

Anti-CTLA-4 and anti-PD-1 immunotherapies repress tumor progression in preclinical breast and colon model with independent regulatory T cells response

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Anti-PD-1 and anti-CTLA-4 induced anti-tumor response in breast cancer mouse model.

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Anti-PD-1 and anti-CTLA-4 induced anti-tumor response in colon cancer mouse model.

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Anti-CTLA-4 reduced colon cancer–derived lung metastasis formation in a mouse model.

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We identified specific T cell response between anti-PD-1 and anti-CTLA-4.

The recent development of immunotherapy represents a significant breakthrough in cancer therapy. Several immunotherapies provide robust efficacy gains in a wide variety of cancers. However, in some patients the immune checkpoint blockade remains ineffective due to poor therapeutic response and tumor relapse. An improved understanding of the mechanisms underlying tumor-immune system interactions can improve clinical management of cancer. Here, we report preclinical data evaluating two murine antibodies corresponding to recent FDA-approved antibodies for human therapy, e.g. anti-CTLA-4 and anti-PD-1. We demonstrated in two mouse syngeneic grafting models of triple negative breast or colon cancer that the two antibodies displayed an efficient anticancer activity, which is enhanced by combination treatment in the breast cancer model. We also demonstrated that CTLA-4 targeting reduced metastasis formation in the colon cancer metastasis model. In addition, using cytometry-based multiplex analysis, we showed that anti-CTLA-4 and anti-PD-1 affected the tumor immune microenvironment differently and in particular the tumor immune infiltration. This work demonstrated anti-cancer effect of CTLA-4 or PD-1 blockade on mouse colon and triple negative breast and on tumor-infiltrating immune cell subpopulations that could improve our knowledge and benefit the breast and colon cancer tumor research community.

Approaches to First-Line Therapy for Metastatic Clear Cell Renal Cell Carcinoma

PURPOSE OF REVIEW

Four immuno-oncology (IO)-based combinations have demonstrated overall survival benefit as frontline treatment of metastatic clear cell renal cell carcinoma (mccRCC). Choosing among the available combinations depends on treating physician's interpretation of existing data without level I evidence to inform choice of therapy. Landmark trials of mccRCC are reviewed and perspective on treatment options is provided.

RECENT FINDINGS

The four IO-based combinations reviewed are ipilimumab/nivolumab (IO/IO), pembrolizumab/axitinib (IO/TKI), nivolumab/cabozantinib (IO/TKI), and pembrolizumab/lenvatinib (IO/TKI). The ipilimumab/nivolumab combination is notable for durable efficacy after extended 4-year follow-up. IO/TKI combinations have clinical efficacy across all IMDC risk groups with higher response rates and longer progression-free survival (PFS) but also had higher ≥ grade 3 adverse events rate. Patient tumor burden, performance status, and IMDC risk group are factors in choosing an IO-based treatment. IO/IO and IO/TKI combinations for mccRCC have distinct efficacy and toxicity profiles. Future studies are needed to identify biomarkers to optimize patient outcomes.

Deep phenotyping of surface stimulatory and inhibitory co-receptors on cancer-resident T and NK cells reveals cell subsets within the tumor-reactive CTL population that are uniquely defined by NKG2A expression

The field of Immuno-Oncology (IO) is evolving to utilise novel antibody backbones that can co-target multiple cell-surface stimulatory and inhibitory co-receptors (SICR). This approach necessitates a better understanding of SICR co-expression at the single-cell level on IO-relevant tumor-infiltrating leukocyte (TIL) cell types such as T and natural killer (NK) cells. Using high-dimensional flow cytometry we established a comprehensive SICR profile for tumor-resident T and NK cells across a range of human solid tumors where there is a clear need for improved immunotherapeutic intervention. Leveraging the power of our large flow panel, we performed deep-phenotyping of the critical CD8⁺CD39⁺ Cytotoxic T Lymphocyte (CTL) population that is enriched for tumor-reactive cytotoxic cells, revealing subsets that are differentiated by their SICR profile, including three that are uniquely defined by NKG2A expression. This study establishes a comprehensive SICR phenotype for human TIL T and NK cells, providing insights to guide the design and application of the next generation of IO molecules.

The Hippo pathway in cancer: YAP/TAZ and TEAD as therapeutic targets in cancer

Tumorigenesis is a highly complex process, involving many interrelated and cross-acting signalling pathways. One such pathway that has garnered much attention in the field of cancer research over the last decade is the Hippo signalling pathway. Consisting of two antagonistic modules, the pathway plays an integral role in both tumour suppressive and oncogenic processes, generally via regulation of a diverse set of genes involved in a range of biological functions. This review discusses the history of the pathway within the context of cancer and explores some of the most recent discoveries as to how this critical transducer of cellular signalling can influence cancer progression. A special focus is on the various recent efforts to therapeutically target the key effectors of the pathway in both preclinical and clinical settings.

The combination of gene hyperamplification and PD-L1 expression as a biomarker for the clinical benefit of tislelizumab in gastric/gastroesophageal junction adenocarcinoma

BACKGROUND

In solid tumor Phase 1/2 trials (NCT02407990; NCT04068519), tislelizumab demonstrated clinical benefit, including in advanced gastroesophageal adenocarcinoma (GEA). However, the majority of patients with GEA did not respond, highlighting the need to understand mechanisms of resistance and identify predictive biomarkers for response.

METHODS

All tislelizumab-treated patients with GEA from the Phase 1/2 trials were included (N = 105). Programmed death-ligand 1 (PD-L1) expression (Tumor Area Positivity [TAP] ≥ 5%), interferon gamma (IFNγ)-related gene signature, gene expression profile, tumor mutational burden (TMB), and gene hyperamplification (HA) were analyzed for correlation with tislelizumab.

RESULTS

A moderate association was observed between PD-L1 TAP ≥ 5%, IFNγ gene signature, TMB-high and efficacy. A potential correlation between hyperamplification (HA +) and worse outcomes with programmed cell death protein 1 (PD-1) inhibition was identified. Hyperamplified genes were mainly enriched in cancer progression pathways, including cell cycle and RTK-RAS-PI3K pathways. Joint PD-L1 TAP ≥ 5% and lack of hyperamplification showed the most favorable benefit with an objective response rate of 29.4%, and median progression-free survival and overall survival of 4.1 and 14.7 months, respectively. Tumors with TAP ≥ 5% and HA - had inflamed immune signatures with increased immune cell infiltration, enhanced anti-tumor cytotoxic activity and antigen presentation signatures. Findings were validated in two independent gastric and gastrointestinal cancer cohorts treated with immune checkpoint inhibitors.

CONCLUSIONS

In GEA, PD-L1 positivity, IFNγ-related gene signature and TMB-high status were positively associated with tislelizumab clinical benefit, whereas HA was associated with worse clinical outcomes. Combining PD-L1 positivity and HA - may help identify patients more likely to benefit from PD-1 blockade.

Development of Humanized Mouse Models for Studying Human NK Cells in Health and Disease

Humanized mice, which we define as immunodeficient mice that have been reconstituted with a human immune system, represent promising preclinical models for translational research and precision medicine as they allow modeling and therapy of human diseases in vivo. The first generation of humanized mice showed insufficient development, diversity and function of human immune cells, in particular human natural killer (NK) cells and type 1 innate lymphoid cells (ILC1). This limited the applicability of humanized mice for studying ILC1 and NK cells in the context of human cancers and immunotherapeutic manipulation. However, since 2014, several next-generation humanized mouse models have been developed that express human IL-15 either as a transgene or knock-in (NOG-IL15, NSG-IL15, NSG-IL7-IL15, SRG-15) or show improved development of human myeloid cells, which express human IL-15 and thereby promote human NK cell development (NSG-SGM3, MISTRG, BRGSF). Here we compare the various next-generation humanized mouse models and describe the methodological procedures for creating mice with a functioning human immune system and how they can be used to study and manipulate human NK cells in health and disease.

Discovery of 4-aminoquinolines as highly selective TGFβR1 inhibitors with an attenuated MAP4K4 profile for potential applications in immuno-oncology

The tumor microenvironment contains high concentrations of TGFβ, a crucial immunosuppressive cytokine. TGFβ stimulates immune escape by promoting peripheral immune tolerance to avoid tumoricidal attack. Small-molecule inhibitors of TGFβR1 are a prospective method for next-generation immunotherapies. In the present study, we identified selective 4-aminoquinoline-based inhibitors of TGFβR1 through structural and rational-based design strategies. This led to the identification of compound 4i, which was found to be selective for TGFβR1 with the exception of MAP4K4 in the kinase profiling assay. The compound was then further optimized to remove MAP4K4 activity, since MAP4K4 is vital for proper T-cell function and its inhibition could exacerbate tumor immunosuppression. Optimization efforts led to compound 4s that inhibited TGFβR1 at an IC₅₀ of 0.79 ± 0.19 nM with 2000-fold selectivity against MAP4K4. Compound 4s represents a highly selective TGFβR1 inhibitor that has potential applications in immuno-oncology.

Differential effects of CD20+ B cells and PD-L1+ immune cells on pathologic complete response and outcome: comparison between inflammatory breast cancer and locally advanced breast cancer patients

PURPOSE

This study evaluated epidemiologic and immune factors associated with pathologic complete response (pCR), breast cancer-specific survival (BCSS) and disease-free survival (DFS) outcomes in inflammatory (IBC) and locally advanced breast cancer (LABC) patients.

METHODS

Tumor-infiltrating lymphocytes (TILs) and CD20+ B-cell frequencies (CD20+), and PD-L1 expression on tumor (PD-L1+carcinoma cells) and immune (PD-L1+TILs) cells were analyzed by immunohistochemistry along with clinicopathologic factors as modifiers of pCR and outcomes in 221 IBC and 162 LABC patients. Analysis included Kaplan-Meier curves and Cox proportional hazard models.

RESULTS

IBC and LABC display similar levels of TILs, CD20+, and combined CD20+ and PD-L1+TILs (CD20+PD-L1+TILs), while LABC contained more PD-L1+TILs and PD-L1+ carcinoma cells. Absence of lymphovascular involvement, high TILs, PD-L1+ carcinoma cells, and combined CD20+ and PD-L1+ carcinoma cells correlated with pCR in IBC and LABC patients. High PD-L1+TILs correlated with pCR only in LABC; less lymph node involvement at diagnosis, CD20+ and CD20+PD-L1+TILs correlated with pCR only in IBC (P < 0.04, all comparisons). Achievement of pCR in IBC and LABC patients correlated with BCSS and DFS (P < 0.02). In multivariate analyses, pCR remained an independent prognostic factor of improved DFS in IBC and LABC patients, but of BCSS in only LABC. CD20+PD-L1+TILs remained an independent prognostic factor of improved DFS and BCSS only in IBC.

CONCLUSION

CD20+PD-L1+TILs are an independent prognostic biomarker of improved outcomes in IBC, but not LABC. Selecting IBC patients by CD20 and PD-L1 status could stratify patients and potentially identify those in whom activating CD20 agents and anti-PD-1/PD-L1 therapy could be explored.

Immuno-oncology therapy in metastatic bladder cancer: A systematic review and network meta-analysis

CONTEXT

Three first line and three second-line clinical trials tested the effect of immunotherapy (IO) relative to standard chemotherapy (CT) on overall survival. However, network meta-analysis-based comparisons have not yet been presented. We addressed this void.

OBJECTIVE

To provide comparisons of overall survival (OS), progression-free survival (PFS), complete response (CR), partial response (PR), stable disease (SD), objective response rates (ORR), disease control rates (DCR) and adverse events (AEs) associated with 1st and 2nd line IO-based regimens.

MATERIALS AND METHODS

PubMed was searched for phase III randomized controlled trials from 2016 to 2021, including conference abstracts. We identified three first line [IMvigor130 (atezolizumab + CT vs atezolizumab vs CT), DANUBE (durvalumab vs durvalumab + tremelimumab vs CT), and KEYNOTE-361 (pembrolizumab + CT vs pembrolizumab vs CT)] and two second line [KEYNOTE-045 (pembrolizumab vs CT) and IMvigor211 (atezolizumab vs CT)] RCTs.

RESULTS

Overall, 3255 and 1452 patients were respectively included in the first- and second-line settings. In 1st line setting, compared with CT, no IO-based regimen exhibited survival benefit. However, all exclusive IO regimens resulted in lower rates of grade 3+ AEs. In 2nd line setting, compared with CT, only pembrolizumab improved OS benefit. Conversely, atezolizumab only showed OS benefit in exploratory analyses. Compared to second-line CT, no experimental regimen (atezolizumab or pembrolizumab) exhibited statistically significant ORR benefit. Both pembrolizumab and atezolizumab resulted in lower rates of grade 3+ AEs compared to 2nd line CT.

CONCLUSIONS

In metastatic UC, IO-based regimens do not hold a survival benefit relative to CT in 1st line setting. However, pembrolizumab holds a survival benefit in 2nd line compared to CT. Several IO-based clinical trials are ongoing and will provide more and possibly better treatment alternatives for locally advanced and metastatic UC.

Integrating single cell sequencing with a spatial quantitative systems pharmacology model spQSP for personalized prediction of triple-negative breast cancer immunotherapy response

Response to cancer immunotherapies depends on the complex and dynamic interactions between T cell recognition and killing of cancer cells that are counteracted through immunosuppressive pathways in the tumor microenvironment. Therefore, while measurements such as tumor mutational burden provide biomarkers to select patients for immunotherapy, they neither universally predict patient response nor implicate the mechanisms that underlie immunotherapy resistance. Recent advances in single-cell RNA sequencing technology measure cellular heterogeneity within cells of an individual tumor but have yet to realize the promise of predictive oncology. In addition to data, mechanistic multiscale computational models are developed to predict treatment response. Incorporating single-cell data from tumors to parameterize these computational models provides deeper insights into prediction of clinical outcome in individual patients. Here, we integrate whole-exome sequencing and scRNA-seq data from Triple-Negative Breast Cancer patients to model neoantigen burden in tumor cells as input to a spatial Quantitative System Pharmacology model. The model comprises a four-compartmental Quantitative System Pharmacology sub-model to represent a whole patient and a spatial agent-based sub-model to represent tumor volumes at the cellular scale. We use the high-throughput single-cell data to model the role of antigen burden and heterogeneity relative to the tumor microenvironment composition on predicted immunotherapy response. We demonstrate how this integrated modeling and single-cell analysis framework can be used to relate neoantigen heterogeneity to immunotherapy treatment outcomes. Our results demonstrate feasibility of merging single-cell data to initialize cell states in multiscale computational models such as the spQSP for personalized prediction of clinical outcomes to immunotherapy.

Recent applications of quantitative systems pharmacology and machine learning models across diseases

Quantitative systems pharmacology (QSP) is a quantitative and mechanistic platform describing the phenotypic interaction between drugs, biological networks, and disease conditions to predict optimal therapeutic response. In this meta-analysis study, we review the utility of the QSP platform in drug development and therapeutic strategies based on recent publications (2019-2021). We gathered recent original QSP models and described the diversity of their applications based on therapeutic areas, methodologies, software platforms, and functionalities. The collection and investigation of these publications can assist in providing a repository of recent QSP studies to facilitate the discovery and further reusability of QSP models. Our review shows that the largest number of QSP efforts in recent years is in Immuno-Oncology. We also addressed the benefits of integrative approaches in this field by presenting the applications of Machine Learning methods for drug discovery and QSP models. Based on this meta-analysis, we discuss the advantages and limitations of QSP models and propose fields where the QSP approach constitutes a valuable interface for more investigations to tackle complex diseases and improve drug development.

MXD3 as an onco-immunological biomarker encompassing the tumor microenvironment, disease staging, prognoses, and therapeutic responses in multiple cancer types

MAX dimerization (MXD) protein 3 (MXD3) is a member of the MXD family of basic-helix-loop-helix-leucine-zipper (bHLHZ) transcription factors that plays pivotal roles in cell cycle progression and cell proliferation. However, there is insufficient scientific evidence on the pathogenic roles of MXD3 in various cancers and whether MXD3 plays a role in the immuno-oncology context of the tumor microenvironment, pathogenesis, prognosis, and therapeutic response of different tumors through certain common molecular mechanisms; thus, we saw a need to conduct the present in silico pan-cancer study. Using various computational tools, we interrogated the role of MXD3 in tumor immune infiltration, immune evasion, tumor progression, therapy response, and prognosis of cohorts from various cancer types. Our results indicated that MXD3 was aberrantly expressed in almost all The Cancer Genome Atlas (TCGA) cancer types and subtypes and was associated with the tumor stage, metastasis, and worse prognoses of various cohorts. Our results also suggested that MXD3 is associated with tumor immune evasion via different mechanisms involving T-cell exclusion in different cancer types and by tumor infiltration of immune cells in thymoma (THYM), liver hepatocellular carcinoma (LIHC), and head and neck squamous cell carcinoma (HNSC). Methylation of MXD3 was inversely associated with messenger (m)RNA expression levels and mediated dysfunctional T-cell phenotypes and worse prognoses of cohorts from different cancer types. Finally, we found that genetic alterations and oncogenic features of MXD3 were concomitantly associated with deregulation of the DBN1, RAB24, SLC34A1, PRELID1, LMAN2, F12, GRK6, RGS14, PRR7, and PFN3 genes and were connected to phospholipid transport and ion homeostasis. Our results also suggested that MXD3 expression is associated with immune or chemotherapeutic outcomes in various cancers. In addition, higher MXD3 expression levels were associated with decreased sensitivity of cancer cell lines to several mitogen-activated protein kinase kinase (MEK) inhibitors but led to increased activities of other kinase inhibitors, including Akt inhibitors. Interestingly, MXD3 exhibited higher predictive power for response outcomes and overall survival of immune checkpoint blockade sub-cohorts than three of seven standardized biomarkers. Altogether, our study strongly suggests that MXD3 is an immune-oncogenic molecule and could serve as a biomarker for cancer detection, prognosis, therapeutic design, and follow-up.

Assessment of immune biomarkers and establishing a triple negative phenotype in gynecologic cancers

OBJECTIVE

Immuno-oncology (IO) has rapidly evolved, with many IO therapies either approved or under investigation for multiple malignancies. Biomarkers exist that can predict response to IO therapies including PD-L1 expression, microsatellite instability (MSI), and total mutation burden (TMB). This paper serves to analyze the presence of these biomarkers across gynecologic cancers.

METHODS

A total of 16,300 gynecologic cancer specimens submitted for molecular profiling to Caris Life Sciences were reviewed. Immunohistochemistry was performed using the SP142 anti-PD-L1 clone and assessed for intensity. Next-generation sequencing, immunohistochemistry, and fragment analysis were used to determine MSI status. TMB was measured by counting all non-synonymous missense mutations found per tumor not previously described as germline alterations. Chi-Square, Fisher Exact, and the Kruskal-Wallis test were used to compare cohorts.

RESULTS

Of 16,300 specimens, 54.1% were ovarian, 37.2% uterine, 7.2% cervical, 0.3% vulvar, 1.2% vaginal, with 0.1% unspecified. MSI-H was most frequent in uterine cancer (17.7%) and only 1% of ovarian cancers. PD-L1 expression was present in 38.3% of cervical and 62.5% of vulvar cancers, but less than 8% of ovarian and uterine cancers. TMB-H was present in 21.1% cervical, 19.7% uterine, and 5% ovarian cancers. Few specimens exhibited a "triple positive" phenotype - 0.3% ovarian, 1.5% uterine, and 1.5% cervical. Associations were seen between MSI, TMB, and PD-L1 across all cancer types.

CONCLUSIONS

The frequency of individual biomarkers pertinent to IO therapy varies by cancer type. HPV-driven genital tract cancers have higher frequencies of PD-L1 expression, MSI-H, and TMBH. Endometrial cancers are characterized by MSI-H and TMB, whereas ovarian cancers have a low frequency of MSI-H and modest PD-L1 or TMBH. The incidence of 'triple positive" cases was less than 2%.

Precision Nuclear Medicine: The Evolving Role of PET in Melanoma

The clinical management of melanoma patients has been rapidly evolving with the introduction of new targeted immuno-oncology (IO) therapeutics. The current diagnostic paradigms for melanoma patients begins with the histopathologic confirmation of melanoma, initial staging of disease burden with imaging and surgical approaches, treatment monitoring during systemic cytotoxic chemotherapy or IO therapeutics, restaging after completion of adjuvant systemic, surgical, and/or external radiation therapy, and the detection of recurrent malignancy/metastatic disease following therapy. New and evolving imaging approaches with positron-emission tomography (PET) imaging technologies, imaging methodologies, image reconstruction, and image analytics will likely continue to improve tumor detection, tumor characterization, and diagnostic confidence, enabling novel precision nuclear medicine practices for managing melanoma patients. This review will examine current concepts and challenges with existing PET imaging diagnostics for melanoma patients and introduce exciting new opportunities for PET in the current era of IO therapeutics.

A BCG success story: From prevention of tuberculosis to optimal bladder cancer treatment

BCG remains the most important vaccine for tuberculosis 100 years after its first use, and over the past 4 decades it has become the most widely accepted, effective drug used in the treatment of aggressive localized bladder cancer. This review chronicles the narrow path that led to approval and world-wide acceptance of BCG immunotherapy for bladder cancer while immunotherapy trials in other malignancies were abandoned. Six intravesical instillations of 5x10^8 CFU of BCG weekly after bladder tumor resection, first reported in 1976, is superior to resection alone and resection plus intravesical chemotherapy. Maintenance of effective immune stimulation is surprisingly difficult, but 3 weekly treatments 3, 6, and 12, 18, 24, 30 and 36 months after induction produces further significant reduction in tumor recurrence. This 3 week BCG maintenance schedule alone has reduced disease progression and mortality in multicenter randomized clinical trials. In the new age of immuno-oncology patients with many types of cancer now benefit from immunotherapy, but currently these modern agents are prohibitively expensive for most of the world. In contrast, the low cost and therefore low profitability of BCG has resulted in recurrent shortages that threaten both bladder cancer patients and children at risk for tuberculosis and other serious infections. Humanity has greatly benefited from early 20th century science that developed BCG and the benevolence of doctors Calmette and Guerin who put people over profit and widely shared cultures of the vaccine. The 21st century is bringing new immunotherapies and greatly expanding the types of malignancies that can be treated. Recombinant technology is expected to improve both the efficacy and production of BCG, hopefully expanding the availability of BCG and relieving the recurring supply shortage for both vaccination and cancer therapy.

Is there a role for Gallium-67 SPECT in distinguishing progression and pseudoprogresion in oncologic patients receiving immunotherapy?

Immuno-oncology (IO) with immune checkpoint inhibitors (ICIs) is the new landmark in cancer treatment. However, due to its economical-related burden and the possibility of tumor pseudoprogression with late response patterns, it is imperative to find new ways for early discrimination of patients with IO-sensitive versus IO-resistant disease. ICI-mediated antitumor responses depend on tumor immune infiltration by T-cells capable of recognizing and killing tumor cells. Nevertheless, patients may experience different responses to immunotherapy according to their tumor microenvironment and inflammatory infiltration. T-cell infiltrated tumors are referred to as 'hot' and are potential candidates for a good response to ICIs, whereas 'cold' are those tumors lacking T-cell infiltration and exhibit a narrow likelihood of response to IO therapy. Gallium-67 (⁶⁷Ga) scintigraphy may hold potential for separating 'hot' from 'cold' tumors, thus providing an imaging tool to distinguish 'hot' ICI-induced pseudoprogression from real early 'cold' progression. Even so, various tumors (lymphomas, lung cancer, breast cancer, hepatoma, malignant melanoma) exhibit an inherent affinity for ⁶⁷Ga that is independent of the ICI-induced immune infiltration, and this raises issues about false positivity. For that reason, future investigational studies to evaluate the prospective role of this radiotracer in the early prediction of ICI response should be confined to tumors with an inherently low ⁶⁷Ga affinity (thyroid carcinoma, gastrointestinal and genitourinary tract tumors). We describe our experience with a patient with recurrent metastatic lung adenocarcinoma under ICI therapy that was submitted to ⁶⁷Ga scanning for a fever of unknown origin and we discuss the aforementioned topics, alongside current imaging trends and future perspectives in the field.

An Integrated Analysis of Dostarlimab Immunogenicity

Monoclonal antibodies that block the interaction between programmed cell death 1 (PD-1) and its ligand (PD-L1) have revolutionized cancer immunotherapy. However, immunogenic responses to these new therapies—such as the development of antidrug antibodies (ADAs) and neutralizing antibodies (NAbs)—may represent a significant challenge to both efficacy and safety in some patients. Dostarlimab (TSR-042) is an approved, humanized, anti-PD-1 monoclonal antibody that has shown efficacy in multiple solid tumor types. Here, we report the results of an immunogenicity analysis of dostarlimab monotherapy in patients enrolled in the GARNET trial, a multicenter, open-label, single-arm phase 1 study. Overall, 477 of 478 patients (99.8%) were included in the analysis of dostarlimab antibody prevalence, and 349 out of 478 enrolled patients (73.0%) were evaluable for treatment-emergent antibodies to dostarlimab. The incidence of treatment-emergent ADAs was 2.5% at the recommended therapeutic dose (500 mg Q3W for the first 4 doses, 1000 mg Q6W until discontinuation), which is comparable to other anti-PD-(L)1 drugs. NAbs were detected in only 1.3% of patients. In the small percentage of patients who developed ADAs, there was no evidence of altered efficacy or safety of dostarlimab at the recommended dosing regimen. These findings demonstrated that treatment with dostarlimab was associated with a low risk of eliciting clinically meaningful ADAs over the course of this study, and dostarlimab is already approved by health authorities.

Impact of open-label versus blinded study design on patient-reported outcomes data in randomized clinical trials of immunotherapy in advanced or metastatic cancer patients: a systematic review

AIM

A systematic literature review of immuno-oncology trials was conducted to assess the potential impact of open-label vs double-blind trial design on patient-reported outcome (PRO) data.

METHODS

A systematic search of indexed literature published from January 2009 to May 2019 was conducted using PubMed/MEDLINE, Cochrane Library, and EMBASE database. All randomized clinical trials (RCTs) of immuno-oncology therapies on advanced cancer patients reporting PRO data were identified. Descriptive analyses were performed to quantify differences at baseline and over time, by the type of study, regarding questionnaire completion rate and PRO scores.

RESULTS

In total, 23 studies were retained (15 open-label, 8 blinded). At baseline, no difference in completion rate was observed between arms irrespective of trial design (absolute mean difference of 2.8% and 2.2% for open label and blinded studies, respectively). No clinically significant difference in baseline PRO scores was observed between arms. Over time, impact on PRO scores could not be identified due to the limited number of studies, heterogeneity of questionnaires and tumor types.

CONCLUSIONS

Trial design had no impact on PRO completion rate or baseline scores. Future research should involve analyses by specific cancer types and ideally compare individual data from two similar RCTs (blinded vs. open-label).