Immune Checkpoint Blockade In Melanoma Research Articles

Molecular patterns of resistance to immune checkpoint blockade in melanoma

Immune checkpoint blockade (ICB) has improved outcome for patients with metastatic melanoma but not all benefit from treatment. Several immune- and tumor intrinsic features are associated with clinical response at baseline. However, we need to further understand the molecular changes occurring during development of ICB resistance. Here, we collect biopsies from a cohort of 44 patients with melanoma after progression on anti-CTLA4 or anti-PD1 monotherapy. Genetic alterations of antigen presentation and interferon gamma signaling pathways are observed in approximately 25% of ICB resistant cases. Anti-CTLA4 resistant lesions have a sustained immune response, including immune-regulatory features, as suggested by multiplex spatial and T cell receptor (TCR) clonality analyses. One anti-PD1 resistant lesion harbors a distinct immune cell niche, however, anti-PD1 resistant tumors are generally immune poor with non-expanded TCR clones. Such immune poor microenvironments are associated with melanoma cells having a de-differentiated phenotype lacking expression of MHC-I molecules. In addition, anti-PD1 resistant tumors have reduced fractions of PD1+ CD8+ T cells as compared to ICB naïve metastases. Collectively, these data show the complexity of ICB resistance and highlight differences between anti-CTLA4 and anti-PD1 resistance that may underlie differential clinical outcomes of therapy sequence and combination.

Tumor-infiltrating γδ T cells as targets of immune checkpoint blockade in melanoma.

Melanoma is one of the most sensitive tumors to immune modulation, and the major challenge for melanoma patients' survival is immune checkpoint inhibitor (ICI) therapy. γδ T lymphocytes play an antitumoral role in a broad variety of tumors including melanoma and they are optimal candidates for cellular immunotherapy. Thus, a comprehensive analysis of the correlation between γδ T cells and immune checkpoint receptors in the context of melanoma was conducted, with the aim of devising an innovative combined immunotherapeutic strategy. In this study, using the GEPIA2.0 database, a significant positive correlation was observed between the expression of γδ T cell-related genes (TRGC1, TRGC2, TCRD) and immune checkpoint genes (PDCD1, HAVCR2, LAG3), highlighting the potential role of γδ T cells in the immune response within melanoma. Moreover, flow cytometry analysis unveiled a significant augmentation in the population of γδ T cells within melanoma lesions, which exhibited the expression of immune checkpoint receptors including LAG3, TIM3, and PD1. Analysis of single-cell RNA sequencing data revealed a significant enrichment and functional reprogramming of γδ T cell clusters in response to ICIs. Interestingly, the effects of ICI therapy varied between Vδ1 and Vδ2 γδ T cell subsets, with distinct changes in gene expression patterns. Last, a correlation analysis between γδ T cell abundance, immune checkpoint gene expression, and clinical outcomes in melanoma patients showed that low expression of immune checkpoint genes, including LAG3, HAVCR2, and PDCD1, was associated with improved 1-year overall survival, emphasizing the significance of these genes in predicting patient outcomes, potentially outweighing the impact of γδ T cell abundance. This study offers critical insights into the dynamic interaction between γδ T cells, immune checkpoint receptors, and melanoma, providing valuable perspectives for potential therapeutic avenues and predictive markers in this intricate interplay.

A TCF4-dependent gene regulatory network confers resistance to immunotherapy in melanoma

To better understand intrinsic resistance to immune checkpoint blockade (ICB), we established a comprehensive view of the cellular architecture of the treatment-naive melanoma ecosystem and studied its evolution under ICB. Using single-cell, spatial multi-omics, we showed that the tumor microenvironment promotes the emergence of a complex melanoma transcriptomic landscape. Melanoma cells harboring a mesenchymal-like (MES) state, a population known to confer resistance to targeted therapy, were significantly enriched in early on-treatment biopsies from non-responders to ICB. TCF4 serves as the hub of this landscape by being a master regulator of the MES signature and a suppressor of the melanocytic and antigen presentation transcriptional programs. Targeting TCF4 genetically or pharmacologically, using a bromodomain inhibitor, increased immunogenicity and sensitivity of MES cells to ICB and targeted therapy. We thereby uncovered a TCF4-dependent regulatory network that orchestrates multiple transcriptional programs and contributes to resistance to both targeted therapy and ICB in melanoma.

Assessment of short-chain fatty acid (SCFA) and circulating cytokine trends in a clinical trial of nivolumab/ipilimumab and CBM588 in metastatic renal cell carcinoma (mRCC).

4556 Background: Recent evidence suggests that blood and stool SCFA levels (including acetic acid and butyric acid) are associated with clinical outcomes with immune checkpoint blockade in melanoma (Nomura et al. JAMA Network Open 2020). Herein, we report trends in plasma SCFA and cytokine levels in a randomized phase I clinical trial of CBM588, a live bacterial product containing a butyric acid-producing bacterium, C. butyricum, in patients with mRCC treated with immune checkpoint blockade. Methods: Treatment naïve patients with clear cell and/or sarcomatoid mRCC and intermediate- or high-risk IMDC disease were randomized to nivolumab/ipilimumab or nivolumab/ipilimumab and CBM588 in a 1:2 fashion. Blood samples were collected at baseline and on treatment (week 12 +/- 5 weeks). Quantitative assessment of plasma SCFAs and cytokines was performed by liquid chromatography-mass spectrometry and a Human Cytokine 30-plex protein assay, respectively. Changes in SCFAs and cytokine levels were assessed using paired sample T-tests. Results: A total of 29 patients were randomized to the nivolumab/ipilimumab (n=19) and nivolumab/ipilimumab with CBM588 (n=10) arms. Objective response rates (ORR) with nivolumab/ipilimumab with and without CBM588 were 58% and 20%, respectively. No statistically significant change in SCFA levels was observed between baseline and on-treatment samples in either arm. Notably, however, a numerical increase in levels of acetic acid (414.3 vs 814.0 nmol/g) and isobutyric acid (7.9 vs 9.0 nmol/g) was seen in the nivolumab/ipilimumab and CBM588 arm. In contrast, both factors decreased in the nivolumab/ipilimumab arm (563.1 vs 401.1 nmol/g and 10.0 vs 8.8 nmol/g, respectively). In patients with an uptrend in isobutyric acid levels with nivolumab/ipilimumab and CBM588, ORR was 64% compared to 50% in those without an uptrend in such levels). Similarly, patients with increases in butyric acid with nivolumab/ipilimumab and CBM588 had an ORR of 66%, compared to 43% among those without an increase in butyric acid levels. Correlations between acetic acid and chemokines, including CCL2 and CCL4, were observed with correlation coefficients of 0.83 and 0.82, respectively (p<0.001 for both). Conclusions: A substantial increase in isobutyrate levels in CBM588 responders is indicative of altered amino acid metabolism (specifically, valine and leucine) by modified gut flora in these patients. These observations, combined with alterations in serum cytokines, provide biologic rationale for the clinical activity seen with CBM588 in combination with nivolumab/ipilimumab in this trial. Clinical trial information: NCT03829111 .

Abstract 5904: Intra-tumor microbes identified by RNAseq associated with response to immune checkpoint blockade in metastatic melanoma

Abstract The tumor microbiome has recently been shown to play a key role in the context of oncogenesis, cancer immune phenotype, cancer progression and treatment outcomes in a variety of cancers. We investigated the possible associations between tumor microbiome and successful treatment outcomes with immune checkpoint blockade (ICB) in patients with metastatic melanoma. We evaluated RNAseq from tumor samples, collected prior to the start of treatment with ICB, from 71 patients with metastatic melanoma. Samples were provided by eight members of the Oncology Research Information Exchange Network (ORIEN). Non-response was determined as change in treatment after less than 12 months. Patients maintaining the same treatment regimen for greater than 12 months were classified as responders. We applied our custom tool, {exotic} (Exogenous sequences in Tumor and Immune Cells), to carefully identify non-human sequences within the RNAseq data. After filtering reads aligning to the human reference genome, reads were further filtered of common laboratory contaminants, taxa inversely correlated with input RNA quantity, and taxa frequently found in the negative controls of microbiome experiments. A differential abundance analysis was performed on the response groups at every taxonomic level utilizing DESeq2. We calculated expression signatures using {tmesig}, and related them to ICB response using {IOSig}. We observed significantly enriched taxa (p-value < 0.05) with a high (>1.00) fold-difference in abundance between responders and non-responders found within the tumor RNAseq data, including Fusobacterium nucleatum and several viruses in responders, and Delftia lacustris and Fungi in non-responders. These microbes were associated with immune cell expression signatures, including Th17 cells and CD8+ T-cells. We calculated the gene expression scores of 30 signatures with literature precedence for the ability to predict ICB treatment outcomes in melanoma. The receiver operator characteristic (ROC) curve of the random forest classification model for prediction of response to ICB using the combined expression signature scores resulted in an AUC of 0.8750. Combining expression signature scores with microbe relative abundances at the genus level improved the ability to predict ICB response (AUC = 0.8958). Combining tumor expression signatures with curated tumor microbiome relative abundances improves the performance of predictive models for treatment outcomes with ICB in melanoma. Citation Format: Caroline E. Wheeler, Samuel Coleman, Rebecca Hoyd, Afaf Osman, Louis Denko, Aik Choon Tan, Daniel Spakowicz, Ahmad Tarhini. Intra-tumor microbes identified by RNAseq associated with response to immune checkpoint blockade in metastatic melanoma. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5904.

The molecular and functional landscape of resistance to immune checkpoint blockade in melanoma

Resistance to immune checkpoint inhibitor therapies in melanoma is common and remains an intractable clinical challenge. In this study, we comprehensively profile immune checkpoint inhibitor resistance mechanisms in short-term tumor cell lines and matched tumor samples from melanoma patients progressing on immune checkpoint inhibitors. Combining genome, transcriptome, and high dimensional flow cytometric profiling with functional analysis, we identify three distinct programs of immunotherapy resistance. Here we show that resistance programs include (1) the loss of wild-type antigen expression, resulting from tumor-intrinsic IFNγ signaling and melanoma de-differentiation, (2) the disruption of antigen presentation via multiple independent mechanisms affecting MHC expression, and (3) immune cell exclusion associated with PTEN loss. The dominant role of compromised antigen production and presentation in melanoma resistance to immune checkpoint inhibition highlights the importance of treatment salvage strategies aimed at the restoration of MHC expression, stimulation of innate immunity, and re-expression of wild-type differentiation antigens.

Immunomodulatory Properties of PI3K/AKT/mTOR and MAPK/MEK/ERK Inhibition Augment Response to Immune Checkpoint Blockade in Melanoma and Triple-Negative Breast Cancer.

Hyperactivation of PI3K/AKT/mTOR and MAPK/MEK/ERK signaling pathways is commonly observed in many cancers, including triple-negative breast cancer (TNBC) and melanoma. Moreover, the compensatory upregulation of the MAPK/MEK/ERK pathway has been associated with therapeutic resistance to targeted inhibition of the PI3K/AKT/mTOR pathway, and vice versa. The immune-modulatory effects of both PI3K and MAPK inhibition suggest that inhibition of these pathways might enhance response to immune checkpoint inhibitors (ICIs). ICIs have become the standard-of-care for metastatic melanoma and are recently an option for TNBC when combined with chemotherapy, but alternative options are needed when resistance develops. In this review, we present the current mechanistic understandings, along with preclinical and clinical evidence, that outline the efficacy and safety profile of combinatorial or sequential treatments with PI3K inhibitors, MAPK inhibitors, and ICIs for treatment of malignant melanoma and metastatic TNBC. This approach may present a potential strategy to overcome resistance in patients who are a candidate for ICI therapy with tumors harboring either or both of these pathway-associated mutations.

Abstract 3610: In vivo CRISPR screens reveal the landscape of immune evasion pathways across cancer

Abstract The immune system can eliminate tumors, but checkpoints enable tumors to escape immune destruction. Here, we report the systematic identification of immune evasion mechanisms using genome-scale in vivo CRISPR screens in eight murine cancer models treated with immune checkpoint blockade (ICB). We identify and validate previously unreported immune evasion genes and identify key immune inhibitory checkpoints that have a conserved role across several cancer models, such as the non-classical MHC-I molecule Qa-1b/HLA-E, which scores as the top overall sensitizing hit across all screens. Surprisingly, we find that loss of IFNγ signaling by tumor cells sensitizes 6 of 8 cancer models to ICB. While IFN-mediated inflammation has been associated with response to ICB, there have also been reports of ICB-resistance driven by IFN sensing. However, several divergent mechanisms have been proposed to explain the inhibitory effect of tumor IFN sensing, leading to uncertainty about how this key immune signaling pathway is regulating anti-tumor immunity in different contexts. Using in vivo screening data, transcriptional profiling, and genetic interaction studies, we reveal that the immune-inhibitory effects of tumor IFN sensing are the direct result of tumor upregulation of classical and non-classical MHC-I genes. The interferon-MHC-I axis can inhibit anti-tumor immunity through two mechanisms: first, upregulation of classical MHC-I inhibits the cytotoxicity of natural killer cells, which are activated by ICB. Second, IFN-mediated upregulation of Qa-1b directly inhibits cytotoxicity by effector CD8+ T cells via the NKG2A/CD94 receptor, which is induced on CD8+ T cells by ICB. Finally, we show that high interferon-stimulated gene expression in patients is associated with decreased survival in RCC and poor response to ICB in melanoma. Our study establishes a unifying mechanism to explain the inhibitory role of tumor IFN sensing, revealing that IFN-mediated upregulation of classical and non-classical MHC-I inhibitory checkpoints can facilitate immune escape. Citation Format: Juan Dubrot, Peter P. Du, Sarah Kate Lane-Reticker, Emily A. Kessler, Audrey J. Muscato, Arnav Mehta, Samuel S. Freeman, Peter M. Allen, Kira E. Olander, Kyle M. Ockerman, Clara H. Wolfe, Fabius Wiesmann, Nelson H. Knudsen, Hsiao-Wei Tsao, Arvin Iracheta-Vellve, Emily M. Schneider, Andrea N. Rivera-Rosario, Ian C. Kohnle, Hans W. Pope, Austin Ayer, Gargi Mishra, Margaret D. Zimmer, Sarah Y. Kim, Animesh Mahapatra, Hakimeh Ebrahimi-Nik, Dennie T. Frederick, Genevieve M. Boland, W. Nicholas Haining, David E. Root, John G. Doench, Nir Hacohen, Kathleen B. Yates, Robert T. Manguso. In vivo CRISPR screens reveal the landscape of immune evasion pathways across cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3610.

Cilengitide, an αvβ3-integrin inhibitor, enhances the efficacy of anti-programmed cell death-1 therapy in a murine melanoma model

ABSTRACT Integrins play an important role in multiple stages of tumor progression and metastasis. Previous studies have shown synergistic effects of combined αvβ6-integrin and αvβ8-integrin inhibitors with immunotherapy. However, the role of αvβ3-integrin inhibitor in tumor immunity is still unclear. In this study, we aimed to elucidate the impact of the αvβ3-integrin inhibitor on PD-L1 expression and sensitivity to immune checkpoint blockade in melanoma. We investigated the effects of cilengitide, an αvβ3-integrin inhibitor, on cell viability and apoptosis of melanoma cell lines. And we explored how cilengitide regulated the expression of PD-L1 in melanoma cells in vitro and in vivo, using immunofluorescence, flow cytometry, Western blotting, and immunohistochemistry. A subcutaneous B16 murine melanoma model was utilized to determine whether combining cilengitide with anti-PD1 therapy inhibited tumor growth and positively regulated tumor microenvironment (TME). Our results showed that cilengitide inhibited cell viability and induced apoptosis in B16 and A375 cell lines. Furthermore, cilengitide decreased PD-L1 expression by reducing STAT3 phosphorylation in two melanoma cell lines. Cilengitide also reduced subcutaneous tumor PD-L1 expression in the B16 murine melanoma model. Accordingly, cilengitide positively regulated antitumor immune responses and provided durable therapy when combined with anti-PD1 monoclonal antibody in the murine melanoma model. This combination therapy reduced tumor growth and extended survival. Our study highlights that cilengitide enhances the efficacy of anti-PD1 therapy and produces a stronger antitumor immune response. This combination therefore represents a novel therapeutic regimen that may improve immunotherapy treratment.

832 Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy

832 Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy

Digital Quantification of Tumor PD-L1 Predicts Outcome of PD-1-Based Immune Checkpoint Therapy in Metastatic Melanoma.

BackgroundPD-1-based immune checkpoint blockade (ICB) is a highly effective therapy in metastatic melanoma. However, 40-60% of patients are primarily resistant, with valid predictive biomarkers currently missing. This study investigated the digitally quantified tumor PD-L1 expression for ICB therapy outcome prediction.Patients and MethodsTumor tissues taken prior to PD-1-based ICB for unresectable metastatic disease were collected within the prospective multicenter Tissue Registry in Melanoma (TRIM). PD-L1 expression (clone 28-8; cut-off=5%) was determined by digital and physician quantification, and correlated with therapy outcome (best overall response, BOR; progression-free survival, PFS; overall survival, OS).ResultsTissue samples from 156 patients were analyzed (anti-PD-1, n=115; anti-CTLA-4+anti-PD-1, n=41). Patients with PD-L1-positive tumors showed an improved response compared to patients with PD-L1-negative tumors, by digital (BOR 50.5% versus 32.2%; p=0.026) and physician (BOR 54.2% versus 36.6%; p=0.032) quantification. Tumor PD-L1 positivity was associated with a prolonged PFS and OS by either digital (PFS, 9.9 versus 4.6 months, p=0.021; OS, not reached versus 13.0 months, p=0.001) or physician (PFS, 10.6 versus 5.6 months, p=0.051; OS, not reached versus 15.6 months, p=0.011) quantification. Multivariable Cox regression revealed digital (PFS, HR=0.57, p=0.007; OS, HR=0.44, p=0.001) and physician (OS, HR=0.54, p=0.016) PD-L1 quantification as independent predictors of survival upon PD-1-based ICB. The combination of both methods identified a patient subgroup with particularly favorable therapy outcome (PFS, HR=0.53, p=0.011; OS, HR=0.47, p=0.008).ConclusionPre-treatment tumor PD-L1 positivity predicted a favorable outcome of PD-1-based ICB in melanoma. Herein, digital quantification was not inferior to physician quantification, and should be further validated for clinical use.

1761MO Defining subset-wise myeloid responses to immune checkpoint blockade in melanoma

Immune checkpoint blockade (ICB) is associated with improved survival in patients with metastatic melanoma (MM). Despite this, many patients have limited clinical benefit, and there is ongoing attrition amongst responders. Moreover, ICB is associated with auto-immune toxicity. Peripheral biomarkers can help early identification of non-responders, as well as assist in treatment stratification. Recent evidence suggests that myeloid populations may play a role in modulating ICB response, but this has yet to be full defined at the transcriptomic level.

CTLA4 promoter hypomethylation is a negative prognostic biomarker at initial diagnosis but predicts response and favorable outcome to anti-PD-1 based immunotherapy in clear cell renal cell carcinoma

BackgroundIn metastatic clear cell renal cell carcinoma (ccRCC), different combination therapies, each including anti-PD-1 immune checkpoint blockade (ICB), are applied as first-line treatment. Robust predictive biomarkers for rational upfront therapy...

Abstract 1674: WNT signal pathway activation correlates with innate resistant to immune checkpoint therapies in melanoma

Abstract Background: Immune checkpoint inhibitors targeting the programmed cell death-1 receptor (PD-1) improve survival in a subset of patients with melanoma. There are still lots of patients could not reach the clinical benefit, even though with the positive expression of the programmed cell death 1 ligand 1 (PD-L1). Here, we aimed to research the immune resistance mechanism in melanoma. Methods: The genomic data and clinical data of the discovery cohort was obtained from The Cancer Genome Atlas (TCGA). The clinical data of validation cohort in melanoma treated by immunotherapy was retrospective collected. And tissue from patients with melanoma were performed to whole exome sequencing in a College of American Pathologists-certified and Clinical Laboratory Improvement Amendments-accredited lab. Results: Activation of WNT signaling was inferred that somatic mutations or somatic copy number alterations in WNT signaling elements including APC, WNT1, WNT4, WNT6, WNT16, CTNNB1, BCL9L, SMAD3 and SMAD4. Two cohort have been enrolled in this study, the discovery cohort from TCGA, and the validation cohort from the Chinese patients with melanoma. The frequency of WNT pathway alterations from the TCGA cohort was 28.4%, and which was represented mutually exclusive molecular subsets. In TCGA cohort, activating alteration WNT signaling were associated with shorter median OS (22.5 vs 13.6 months, p=0.047, HR=0.61 (0.37-0.89)). Conclusions: Mutations predicted to activate the WNT pathway were associated with innate resistance to immune checkpoint blockade in melanoma. Citation Format: Fuyu Gong, Yuezong Bai, wenzhuan Xie, Chuanliang Cui. WNT signal pathway activation correlates with innate resistant to immune checkpoint therapies in melanoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1674.

Distinct Biomarker Profiles and TCR Sequence Diversity Characterize the Response to PD-L1 Blockade in a Mouse Melanoma Model

Only a subset of patients responds to immune checkpoint blockade (ICB) in melanoma. A preclinical model recapitulating the clinical activity of ICB would provide a valuable platform for mechanistic studies. We used melanoma tumors arising from an Hgftg;Cdk4R24C/R24C genetically engineered mouse (GEM) model to evaluate the efficacy of an anti-mouse PD-L1 antibody similar to the anti-human PD-L1 antibodies durvalumab and atezolizumab. Consistent with clinical observations for ICB in melanoma, anti-PD-L1 treatment elicited complete and durable response in a subset of melanoma-bearing mice. We also observed tumor growth delay or regression followed by recurrence. For early treatment assessment, we analyzed gene expression profiles, T-cell infiltration, and T-cell receptor (TCR) signatures in regressing tumors compared with tumors exhibiting no response to anti-PD-L1 treatment. We found that CD8+ T-cell tumor infiltration corresponded to response to treatment, and that anti-PD-L1 gene signature response indicated an increase in antigen processing and presentation, cytokine-cytokine receptor interaction, and natural killer cell-mediated cytotoxicity. TCR sequence data suggest that an anti-PD-L1-mediated melanoma regression response requires not only an expansion of the TCR repertoire that is unique to individual mice, but also tumor access to the appropriate TCRs. Thus, this melanoma model recapitulated the variable response to ICB observed in patients and exhibited biomarkers that differentiate between early response and resistance to treatment, providing a valuable platform for prediction of successful immunotherapy. IMPLICATIONS: Our melanoma model recapitulates the variable response to anti-PD-L1 observed in patients and exhibits biomarkers that characterize early antibody response, including expansion of the TCR repertoire.

ARID2 Deficiency Correlates with the Response to Immune Checkpoint Blockade in Melanoma

The SWI/SNF chromatin remodeler family includes the BAF and PBAF complexes. ARID2, encoding a PBAF complex subunit, is frequently mutated in melanoma independently of BRAF/RAS mutations. Emerging evidence shows that SWI/SNF complexes regulate tumor immunity; for instance, the loss of PBRM1, another PBAF complex subunit, enhances susceptibility to immune checkpoint inhibitors in melanoma. Notably, ARID2 mutations are more frequent in melanoma than PBRM1 mutations. However, the role of ARID2 as a modulator of tumor immunity remains unclear. In this study, we show that ARID2 knockout sensitizes melanoma to immune checkpoint inhibitors. Anti‒PD-L1 treatment restricts tumor growth in mice bearing ARID2-knockout melanoma cells, correlating with an increase in the infiltration of cytotoxic CD8+ T cells. Furthermore, ARID2 deficiency leads to signal transducer and activator of transcription 1 upregulation, which subsequently causes increased expression of T-cell‒attracting chemokines such as CXCL9, CXCL10, and CCL5. These results demonstrate that ARID2 is an immunomodulator and a potential biomarker that indicates immune checkpoint inhibitor effectiveness in patients with melanoma.

Integrative Tumor and Immune Cell Multi-omic Analyses Predict Response to Immune Checkpoint Blockade in Melanoma

SummaryIn this study, we incorporate analyses of genome-wide sequence and structural alterations with pre- and on-therapy transcriptomic and T cell repertoire features in immunotherapy-naive melanoma patients treated with immune checkpoint blockade. Although tumor mutation burden is associated with improved treatment response, the mutation frequency in expressed genes is superior in predicting outcome. Increased T cell density in baseline tumors and dynamic changes in regression or expansion of the T cell repertoire during therapy distinguish responders from non-responders. Transcriptome analyses reveal an increased abundance of B cell subsets in tumors from responders and patterns of molecular response related to expressed mutation elimination or retention that reflect clinical outcome. High-dimensional genomic, transcriptomic, and immune repertoire data were integrated into a multi-modal predictor of response. These findings identify genomic and transcriptomic characteristics of tumors and immune cells that predict response to immune checkpoint blockade and highlight the importance of pre-existing T and B cell immunity in therapeutic outcomes.

Abstract IA02: Next targets for immune checkpoint blockade in melanoma

Abstract Multiple mechanisms of melanoma-induced immune escape contribute to the failure of T-cell responses to control tumor growth in humans. Many inhibitory pathways play a critical role in impeding T-cell responses to tumor antigens (TAs), including PD-1, the T-cell immunoglobulin and mucin-domain containing-protein 3 (Tim-3), and the T-cell immunoreceptor with Ig and ITIM domains (TIGIT). These inhibitory receptors (IRs) are upregulated by TA-specific CD8+T cells in the tumor microenvironment (TME) while their respective ligands are expressed by antigen-presenting cells (APCs) and tumor cells. Circulating TA-specific CD8+ T cells and CD8+ tumor-infiltrating lymphocytes (TILs) that coexpress PD-1, TIGIT and Tim-3 exhibit different levels of T-cell dysfunction. Dysfunctional/exhausted CD8+ TILs are not totally inert and can exhibit cytolytic functions but are likely kept in check by multiple inhibitory pathways that can be targeted by immune checkpoint blockade. TIGIT is an attractive target for the next-generation immune checkpoint blockade for several reasons. First, it is highly expressed by the majority of CD8+ TILs together with PD-1. Second, the TIGIT ligands, CD155/PVR, and CD112, are highly expressed in the TME by melanoma cells and APCs. Third, dual PD-1/TIGIT blockade augments the expansion and function of human TA-specific CD8+ T cells in vitro and promotes tumor rejection in animal models. Fourth, TIGIT also acts in Tregs and NK cells to regulate antitumor immune responses. CD8+ TILs in melanoma and other solid tumors downregulate the costimulatory molecule DNAM-1/CD226, which competes with TIGIT for binding to the same ligands CD155 and CD112. Therefore, in addition to the TIGIT-mediated T-cell intrinsic inhibitory effects, the downregulation of CD226 expression by CD8+TILs in the TME also contributes to impede T-cell responses to melanoma. Collectively, our findings provide the rationale for dual PD-1/TIGIT blockade together with therapeutic strategies to counteract CD226 downregulation in the TME to improve the clinical benefits of single PD-1 blockade in patients with melanoma and other solid tumors. Citation Format: Joe-Marc Chauvin, Mignane Ka, Ornella Pagliano, Julien Foucade, Carmine Menna, Diwakar Davar, John Kirkwood, Vijay Kuchroo, Ana Anderson, Alan Korman, Hassane Zarour. Next targets for immune checkpoint blockade in melanoma [abstract]. In: Proceedings of the AACR Special Conference on Melanoma: From Biology to Target; 2019 Jan 15-18; Houston, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(19 Suppl):Abstract nr IA02.

Tankyrase inhibition sensitizes melanoma to PD-1 immune checkpoint blockade in syngeneic mouse models

The development of immune checkpoint inhibitors represents a major breakthrough in cancer therapy. Nevertheless, a substantial number of patients fail to respond to checkpoint pathway blockade. Evidence for WNT/β-catenin signaling-mediated immune evasion is found in a subset of cancers including melanoma. Currently, there are no therapeutic strategies available for targeting WNT/β-catenin signaling. Here we show that a specific small-molecule tankyrase inhibitor, G007-LK, decreases WNT/β-catenin and YAP signaling in the syngeneic murine B16-F10 and Clone M-3 melanoma models and sensitizes the tumors to anti-PD-1 immune checkpoint therapy. Mechanistically, we demonstrate that the synergistic effect of tankyrase and checkpoint inhibitor treatment is dependent on loss of β-catenin in the tumor cells, anti-PD-1-stimulated infiltration of T cells into the tumor and induction of an IFNγ- and CD8+ T cell-mediated anti-tumor immune response. Our study uncovers a combinatorial therapeutical strategy using tankyrase inhibition to overcome β-catenin-mediated resistance to immune checkpoint blockade in melanoma.

Biomimetic and Self-Assembled Nanoclusters Targeting β-Catenin for Potent Anticancer Therapy and Enhanced Immunotherapy.

Immune checkpoint blockade therapies fail to induce immune response in the vast majority of cancer patients, so developing robust adjuvants for increasing tumor immune response is central for effective tumor immunotherapy. The Wnt/β-catenin pathway is a crucial oncogenic signal in relation to tumor immune evasion; however, none of the Wnt inhibitor under clinical or preclinical phases has demonstrated satisfactory specificity. Thus, new compounds or modalities that tumor specifically modulate the Wnt signal will be of great significance and value in clinical tumor immunotherapy. Herein, inspired by a natural phenomenon in cancer cells that the Achilles' Heel of oncoprotein β-catenin, H1 helix, predisposes β-catenin to oligomerization for proteasomal degradation and can be exacerbated by carnosic acid (CA, a Wnt inhibitor), we developed a size-tuned nanocluster (CAcluster) with well-defined supramolecular nanostructure by coassembling CA and H1 peptide. With the inherent enhanced permeability and retention (EPR) effect and the designed tumor microenvironment (TME) responsiveness, the CAcluster tumor specifically suppress the Wnt/β-catenin cascade in vivo, while maintaining a highly favorable biosafety profile. More importantly, the CAclusterin vivo improved the tumor response to the PD1/PD-L1 immune checkpoint blockade in melanoma and colon cancer. This study provides new insights into the biomimetic coassembly strategy to design supramolecular nanostructured adjuvants for hazard-free Wnt suppression and synergy with tumor immunotherapy.