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Supplementary Figures 1-15

The complement system plays a complex role in cancer. In clear cell renal cell carcinoma (ccRCC), local production of complement proteins drives tumor progression, but the mechanisms by which they do this are poorly understood. We found that complement activation, as reflected by high plasma C4d or as C4d deposits at the tumor site, was associated with poor prognosis in two cohorts of patients with ccRCC. High expression of the C4-activating enzyme C1s by tumor cells was associated with poor prognosis in three cohorts. Multivariate Cox analysis revealed that the prognostic value of C1s was independent from complement deposits, suggesting the possibility of complement cascade–unrelated, protumoral functions for C1s. Silencing of C1s in cancer cell lines resulted in decreased proliferation and viability of the cells and in increased activation of T cells in in vitro cocultures. Tumors expressing high levels of C1s showed high infiltration of macrophages and T cells. Modification of the tumor cell phenotype and T-cell activation were independent of extracellular C1s levels, suggesting that C1s was acting in an intracellular, noncanonical manner. In conclusion, our data point to C1s playing a dual role in promoting ccRCC progression by triggering complement activation and by modulating the tumor cell phenotype and tumor microenvironment in a complement cascade–independent, noncanonical manner. Overexpression of C1s by tumor cells could be a new escape mechanism to promote tumor progression.See related Spotlight by Magrini and Garlanda, p. 855.See article by Daugan et al., p. 909 (40).

Supplementary figures

Supplementary tables 1-5

Supplementary Tables 1-3

Immunotherapy is rapidly becoming a standard of care for many cancers. However, colorectal cancer had been generally resistant to immunotherapy, despite features in common with sensitive tumors. Observations of substantial clinical activity for checkpoint blockade in colorectal cancers with defective mismatch repair (microsatellite instability–high tumors) have reignited interest in the search for immunotherapies that could be extended to the larger microsatellite stable (MSS) population. The Cancer Research Institute and Fight Colorectal Cancer convened a group of scientists, clinicians, advocates, and industry experts in colorectal cancer and immunotherapy to compile ongoing research efforts, identify gaps in translational and clinical research, and provide a blueprint to advance immunotherapy. We identified lack of a T-cell inflamed phenotype (due to inadequate T-cell infiltration, inadequate T-cell activation, or T-cell suppression) as a broad potential explanation for failure of checkpoint blockade in MSS. The specific cellular and molecular underpinnings for these various mechanisms are unclear. Whether biomarkers with prognostic value, such as the immunoscores and IFN signatures, would also predict benefit for immunotherapies in MSS colon cancer is unknown, but if so, these and other biomarkers for measuring the potential for an immune response in patients with colorectal cancer will need to be incorporated into clinical guidelines. We have proposed a framework for research to identify immunologic factors that may be modulated to improve immunotherapy for colorectal cancer patients, with the goal that the biomarkers and treatment strategies identified will become part of the routine management of colorectal cancer. Cancer Immunol Res; 5(11); 942–9. ©2017 AACR.

Supplemental Tables 1 and 2

S1. Therapeutic strategies and corresponding laboratory tests.

S2. Policy and Infrastructure driven solutions noted for support of immunology work.

B cells are a major component of the tumour microenvironment, where they are predominantly associated with tertiary lymphoid structures (TLS). In germinal centres within mature TLS, B cell clones are selectively activated and amplified, and undergo antibody class switching and somatic hypermutation. Subsequently, these B cell clones differentiate into plasma cells that can produce IgG or IgA antibodies targeting tumour-associated antigens. In tumours without mature TLS, B cells are either scarce or differentiate into regulatory cells that produce immunosuppressive cytokines. Indeed, different tumours vary considerably in their TLS and B cell content. Notably, tumours with mature TLS, a high density of B cells and plasma cells, as well as the presence of antibodies to tumour-associated antigens are typically associated with favourable clinical outcomes and responses to immunotherapy compared with those lacking these characteristics. However, polyclonal B cell activation can also result in the formation of immune complexes that trigger the production of pro-inflammatory cytokines by macrophages and neutrophils. In complement-rich tumours, IgG antibodies can also activate the complement cascade, resulting in the production of anaphylatoxins that sustain tumour-promoting inflammation and angiogenesis. Herein, we review the phenotypic heterogeneity of intratumoural B cells and the importance of TLS in their generation as well as the potential of B cells and TLS as prognostic and predictive biomarkers. We also discuss novel therapeutic approaches that are being explored with the aim of increasing mature TLS formation, B cell differentiation and anti-tumour antibody production within tumours.

Purpose: The efficacy of PD-1 checkpoint blockade as adjuvant therapy in localized clear cell renal cell carcinoma (ccRCC) is currently unknown. The identification of tumor microenvironment (TME) prognostic biomarkers in this setting may help define which patients could benefit from checkpoint blockade and uncover new therapeutic targets.Experimental Design: We performed multiparametric flow cytometric immunophenotypic analysis of T cells isolated from tumor tissue [tumor-infiltrating lymphocytes (TIL)], adjacent non-malignant renal tissue [renal-infiltrating lymphocytes (RIL)], and peripheral blood lymphocytes (PBL), in a cohort of patients (n = 40) with localized ccRCC. Immunophenotypic data were integrated with prognostic and histopathologic variables, T-cell receptor (TCR) repertoire analysis of sorted CD8+PD-1+ TILs, tumor mRNA expression, and digital quantitative immunohistochemistry.Results: On the basis of TIL phenotypic characterization, we identified three dominant immune profiles in localized ccRCC: (i) immune-regulated, characterized by polyclonal/poorly cytotoxic CD8+PD-1+Tim-3+Lag-3+ TILs and CD4+ICOS+ cells with a Treg phenotype (CD25+CD127−Foxp3+/Helios+GITR+), that developed in inflamed tumors with prominent infiltrations by dysfunctional dendritic cells and high PD-L1 expression; (ii) immune-activated, enriched in oligoclonal/cytotoxic CD8+PD-1+Tim-3+ TILs, that represented 22% of the tumors; and (iii) immune-silent, enriched in TILs exhibiting RIL-like phenotype, that represented 56% of patients in the cohort. Only immune-regulated tumors displayed aggressive histologic features, high risk of disease progression in the year following nephrectomy, and a CD8+PD-1+Tim-3+ and CD4+ICOS+ PBL phenotypic signature.Conclusions: In localized ccRCC, the infiltration with CD8+PD-1+Tim-3+Lag-3+ exhausted TILs and ICOS+ Treg identifies the patients with deleterious prognosis who could benefit from adjuvant therapy with TME-modulating agents and checkpoint blockade. This work also provides PBL phenotypic markers that could allow their identification. Clin Cancer Res; 23(15); 4416–28. ©2017 AACR.

Table S1. Demographic and clinical characteristics of the analyzed patients are depicted (Mean {plus minus} SD)

Figure S4. Inverse relation between TLS and immune checkpoints in primary ccRCC : photomicrographs of immunohistochemistry staining of PD-L1(red)/hematoxylin and TLS structures as revealed by CD3(Blue)DC-Lamp(Red), CD21(Blue)/CD20(Red), and of CD8(red)/hematoxylin in PD-L1+and/orPD-L2+ (A) and PD-L1-/PD-L2- (B) primary ccRCC

Table S1. Demographic and clinical characteristics of the analyzed patients; Table S2. Antibodies and conditions used for the IHC studies; Table S3. List of immune-related genes analyzed by Low Density Array; Figure S1. Gating and data analysis strategy; Figure S2. CD4+ and CD8+ T-cell differentiation in ccRCC TIL, and autologous PBL and RIL; Figure S3. Gap statistics according to the possible number of clusters of TIL phenotype. Optimal cut-off according to firstSEmax method (R package: cluster) is displayed (dotted line); Figure S4. PCA analysis including RIL and TIL phenotype. TIL clusters are displayed; Figure S5. Tumor size according to TIL clusters; Figure S6. Percentages of CD4+TIL expressing AM and InR according to tumor clusters. C1, Cluster1; C2, Cluster2; C3, Cluster3; Figure S7. Percentages of CD8+TIL expressing AM and InR according to tumor clusters. C1, Cluster1; C2, Cluster2; C3, Cluster3; Figure S8. Clonality Index and frequency of top 15 clonotypes in CD8+PD-1+ TIL according to tumor clusters. C1, Cluster1; C2, Cluster2; C3, Cluster3; Figure S9. Corrected P values for the differential gene expression between TIL clusters; Figure S10. Correlation matrix including TLS-related genes and immune cells densities in Immune-activated and Immune-regulated tumors; Figure S11. Percentages of CD4+PBL expressing differentiation markers, AM and InR in healthy controls (HC) and ccRCC-bearing patients; Figure S12. Percentages of CD8+PBL expressing differentiation markers, AM and InR in HC and ccRCC-bearing patients; Figure S13. Percentages of CD4+PBL expressing differentiation markers, AM and InR according to PBL Clusters; Figure S14. Percentages of CD8+PBL expressing differentiation markers, AM and InR according to PBL Clusters.

Purpose: CD4+ T cells play a central role in initiating and maintaining anticancer immune responses. However, regulatory CD4+CD25+ T cells which express Foxp3 have also been shown to inhibit antitumor effector T cells. In view of these heterogeneous CD4+ T-cell populations, this study was designed to determine the prognostic value of various tumor-infiltrating CD4+ T-cell populations in head and neck squamous cell carcinoma.Experimental Design: Eighty-four newly diagnosed untreated patients with histologically proven primary head and neck squamous cell carcinoma were included in this study. Double or triple immunofluorescence staining was done to assess and quantify the activated CD4+CD69+ T cells, regulatory CD4+Foxp3+ T cells, and mixed CD4+CD25+ T cells comprising both activated and regulatory T cells.Results: On univariate analysis, high levels of tumor-infiltrating CD4+CD69+ T cells were correlated with both better locoregional control (P = 0.01) and longer survival (P = 0.01). Infiltration by regulatory Foxp3+CD4+ T cells was positively associated with a better locoregional control of the tumor. Multivariate analysis showed that the only significant prognostic factors related to locoregional control were T stage (P = 0.02) and CD4+Foxp3+ T-cell infiltration of the tumor (P = 0.02). In the Cox multivariate analysis, only two variables influenced overall survival probability: T stage (P = 0.036) and CD4+CD69+ T-cell infiltration (P = 0.017).Conclusion: This study shows that tumor-infiltrating activated CD4+CD69+ T cells are associated with a good prognosis in head and neck squamous cell carcinoma. In addition, regulatory Foxp3+CD4+ T cells are positively correlated with locoregional control may be through down-regulation of harmful inflammatory reaction, which could favor tumor progression.

This file contains 6 supplementary figures and 5 supplementary Tables. Supplementary Figure S1 - Protein expression pattern of AXL in ccRCC specimens. Supplementary Figure S2 - Response rates, Survival and Biomarker analyses according to AXLneg, AXLlow and AXLhigh expression Supplementary Figure S3 - ORR and Progression-Free Survival according to PD-L1 Status alone or by grouping AXL expression plus PD-L1 status Supplementary Figure S4 - High AXL expression plus PD-L1 TC positivity is associated with worse OS in Nivolumab-treated patients in IMDC intermediate-risk/poor-risk group Supplementary Figure S5 - VHL status does not interfere with outcomes or AXL expression upon treatment with Nivolumab Supplementary Figure S6 - Biomarker distribution across AXL groups stratified based on VHL status

Purpose:A minority of patients currently respond to single-agent immune-checkpoint blockade (ICB), and strategies to increase response rates are urgently needed. AXL is a receptor tyrosine kinase commonly associated with drug resistance and poor prognosis in many cancer types, including in clear-cell renal cell carcinoma (ccRCC). Recent experimental cues in breast, pancreatic, and lung cancer models have linked AXL with immune suppression and resistance to antitumor immunity. However, its role in intrinsic and acquired resistance to ICB remains largely unexplored.Experimental Design:In this study, tumoral expression of AXL was examined in ccRCC specimens from 316 patients who were metastatic receiving the PD-1 inhibitor nivolumab in the GETUG AFU 26 NIVOREN trial after failure of antiangiogenic therapy. We assessed associations between AXL and patient outcomes following PD-1 blockade, as well as the relationship with various markers, including PD-L1; VEGFA; the immune markers CD3, CD8, CD163, and CD20; and the mutational status of the tumor-suppressor gene von Hippel-Lindau (VHL).Results:Our results show that high AXL-expression level in tumor cells is associated with lower response rates and a trend to shorter progression-free survival following anti–PD-1 treatment. AXL expression was strongly associated with tumor–PD-L1 expression, especially in tumors with VHL inactivation. Moreover, patients with tumors displaying concomitant PD-L1 expression and high AXL expression had the worst overall survival.Conclusions:Our findings propose AXL as candidate factor of resistance to PD-1 blockade, and provide compelling support for screening both AXL and PD-L1 expression in the management of advanced ccRCC.See related commentary by Hahn et al., p. 6619

Supplementary Figure S1 from Prognostic Value of Tumor-Infiltrating CD4+ T-Cell Subpopulations in Head and Neck Cancers

Supplementary Table S1 from Prognostic Value of Tumor-Infiltrating CD4+ T-Cell Subpopulations in Head and Neck Cancers

Purpose: Clear cell renal cell carcinoma (ccRCC) has shown durable responses to checkpoint blockade therapies. However, important gaps persist in the understanding of its immune microenvironment. This study aims to investigate the expression and prognostic significance of immune checkpoints in primary and metastatic ccRCC, in relation with mature dendritic cells (DC) and T-cell densities.Experimental Design: We investigated the infiltration and the localization of CD8+ T cells and mature DC, and the expression of immune checkpoints (PD-1, LAG-3, PD-L1, and PD-L2) in relation with prognosis, in 135 primary ccRCC tumors and 51 ccRCC lung metastases. RNA expression data for 496 primary ccRCC samples were used as confirmatory cohort.Results: We identify two groups of tumors with extensive CD8+ T-cell infiltrates. One group, characterized by high expression of immune checkpoints in the absence of fully functional mature DC, is associated with increased risk of disease progression. The second group, characterized by low expression of immune checkpoints and localization of mature DC in peritumoral immune aggregates (tertiary lymphoid structures), is associated with good prognosis.Conclusions: The expression of the immune checkpoints and the localization of DC in the tumor microenvironment modulate the clinical impact of CD8+ T cells in ccRCC. Clin Cancer Res; 21(13); 3031–40. ©2015 AACR.

PDF file - 81K

Supplementary Methods from The Soluble α Chain of Interleukin-15 Receptor: A Proinflammatory Molecule Associated with Tumor Progression in Head and Neck Cancer

PDF file - 54K, Patient characteristics

PDF file - 2.6MB, Characterization of PD1+CD45+ cells

PDF file - 2.6MB, Relationship between tumor infiltration with Foxp3 regulatory T cells and survival

Supplementary Figure 5 from The Soluble α Chain of Interleukin-15 Receptor: A Proinflammatory Molecule Associated with Tumor Progression in Head and Neck Cancer

Supplementary Figure 3 from The Soluble α Chain of Interleukin-15 Receptor: A Proinflammatory Molecule Associated with Tumor Progression in Head and Neck Cancer

PDF file - 3.4MB, Relationship between PDL-1 expression and survival

Supplementary Figure 1 from The Soluble α Chain of Interleukin-15 Receptor: A Proinflammatory Molecule Associated with Tumor Progression in Head and Neck Cancer

PDF file - 64K, List of antibodies used for immunofluorescence staining

Supplementary Figure Legends 1-5 from The Soluble α Chain of Interleukin-15 Receptor: A Proinflammatory Molecule Associated with Tumor Progression in Head and Neck Cancer

Supplementary Tables 1-4 from The Soluble α Chain of Interleukin-15 Receptor: A Proinflammatory Molecule Associated with Tumor Progression in Head and Neck Cancer

PDF file - 2.7MB, Correlation between PDL-1 expression and PD-1 positive infiltrating T cells

Supplementary Figure 2 from The Soluble α Chain of Interleukin-15 Receptor: A Proinflammatory Molecule Associated with Tumor Progression in Head and Neck Cancer

Interleukin (IL)-15 is a proinflammatory cytokine, as it induces the production of inflammatory cytokines [IL-6, tumor necrosis factor α (TNFα), IL-17, etc.]. A correlation between high intratumoral IL-15 concentrations and poor clinical outcome in lung and head and neck cancer patients has been recently reported. The purpose of this study was to investigate the role of the soluble α chain of IL-15 receptor (sIL-15Rα), a natural regulator of IL-15, in head and neck cancer. Fifty-three newly diagnosed untreated head and neck cancer patients were included in this study. Quantification of sIL-15Rα was performed with a newly developed RIA. Increased serum sIL-15Rα concentrations were found in head and neck cancer patients and were closely correlated with poor clinical outcome both in terms of locoregional control and survival even on multivariate analysis. sIL-15Rα was mainly produced by tumor cells via proteolytic cleavage of IL-15Rα mediated by ADAM-17. A correlation was observed between ADAM-17 expression in tumor cells and serum sIL-15Rα concentrations. Surprisingly, sIL-15Rα did not act in vitro as an IL-15 antagonist but rather as an enhancer of IL-15–induced proinflammatory cytokines (IL-6, TNFα, and IL-17) that may promote tumor progression. This new tumor evasion mechanism based on amplification of the intratumoral inflammatory reaction is probably not restricted to head and neck cancer, as other tumors have been shown to release sIL-15Rα. Overall, these results support for the first time an original protumor role of sIL-15Rα in cancer. [Cancer Res 2008;68(10):3907–14]

Supplementary Figure 4 from The Soluble α Chain of Interleukin-15 Receptor: A Proinflammatory Molecule Associated with Tumor Progression in Head and Neck Cancer

PDF file - 4.8MB, Colocalization between PD1 positive cells and Foxp3- or Tim3- positive cells

PDF file - 4.8MB, Synergy between anti-HPV vaccine and anti-PDL-1 to inhibit tumor growth

Association of DNA hypomethylating agents (DHA) with immune-checkpoint inhibitors (ICI) is a promising strategy to improve efficacy of ICI-based therapy. Here we report the five-year clinical outcome and an integrated multi-omics analysis of pre- and on-treatment lesions from advanced melanoma patients enrolled in the phase Ib NIBIT-M4 study, a dose-escalation trial of the DHA agent guadecitabine combined with ipilimumab. With a minimum follow-up of 45 months the median OS was 25.6 months; the 5-year OS rate was 28.9% and the median DoR was 20.6 months. Specific genomic features and extent of T and B cellmediated immunity discriminated lesions of responding compared to non-responding patients. Enrichment for proliferation and EMT-related gene programs, and immune escape mechanisms characterized lesions from non-responding patients. Integration of a genetic immunoediting index (GIE) with an adaptive immunity signature (ICR) stratified patients/lesions into four distinct subsets and discriminated 5-year OS and PFS. These results suggest that coupling of immunoediting with activation of adaptive immunity is a relevant requisite for achieving long term clinical benefit by epigenetic immunomodulation in advanced melanoma patients.

Background Thoracic SMARCA4-deficient undifferentiated tumors (SMARCA4-UT) are aggressive neoplasms. Data linking BAF alterations with tumor microenvironment (TME) and efficacy of immune checkpoint inhibitors (ICI) are contradictory. The TME of SMARCA4-UT and their response to ICI are unknown. Materials and Methods Patients diagnosed with SMARCA4-UT in our institution were included. Immunostainings for tertiary lymphoid structures (TLS), immune cell markers, and checkpoints were assessed. Validation was performed using an independent transcriptome dataset including SMARCA4-UT, non–small cell lung cancers (NSCLC) with/without SMARCA4 mutations, and unclassified thoracic sarcomas (UTS). CXCL9 and PD-L1 expressions were assessed in NSCLC and thoracic fibroblast cell lines, with/without SMARCA4 knockdown, treated with/without interferon gamma. Results Nine patients were identified. All samples but one showed no TLS, consistent with an immune desert TME phenotype. Four patients received ICI as part of their treatment, but the only one who responded, had a tumor with a TLS and immune-rich TME. Unsupervised clustering of the validation cohort using immune cell scores identified 2 clusters associated with cell ontogeny and immunity (cluster 1 enriched for NSCLC independently of SMARCA4 status (n = 9/10; P = .001); cluster 2 enriched for SMARCA4-UT (n = 11/12; P = .005) and UTS (n = 5/5; P = .0005). SMARCA4 loss-of-function experiments revealed interferon-induced upregulation of CXCL9 and PD-L1 expression in the NSCLC cell line with no effect on the thoracic fibroblast cell line. Conclusion SMARCA4-UT mainly have an immune desert TME with limited efficacy to ICI. TME of SMARCA4-driven tumors varies according to the cell of origin questioning the interplay between BAF alterations, cell ontogeny and immunity.

Spatial transcriptomics, with other spatial technologies, has enabled scientists to dissect the organization and interaction of different cell types within the tumor microenvironment. We asked experts to discuss some aspects of this technology from revealing the tumor microenvironment and heterogeneity, to tracking tumor evolution, to guiding tumor therapy, to current technical challenges.

Whereas T cells in the tumor microenvironment have been the main focus as cancer controlling cells and targets of immunotherapies, B cells have recently gained strong attention. Being associated to Tertiary Lymphoid Structures (TLS) located at the vicinity of tumor nests, the fate of B cell depends on TLS maturity. In immature TLS they may evolve as regulatory B cells producing immunosuppressive cytokines and promote tumor growth. In mature TLS with a germinal center, B cells are selected, amplified, undergo affinity maturation and isotypic switching, resulting in plasma cell generation and production of anti-tumor antibodies. In that case, they are associated with longer patient's survival and therapeutic response to immunotherapy. Identification of tumor specific, or tumor overexpressed, antigens recognized by "in situ" produced antibodies and their discrimination from self-antigens induced by ICI treatments is a major challenge to develop novel antibody-based immunotherapies.

DNA hypomethylating agents (DHA) combined with immune-checkpoint inhibitors (ICI) is a promising strategy to improve the effect of immunotherapy. Providing initial support to this notion, the phase Ib NIBIT-M4 study, a dose-escalation trial of the DHA guadecitabine plus ipilimumab, has shown this regimen to be safe, tolerable and with promising immunomodulatory and anti-tumor activity in advanced melanoma. Here we report the 5-year clinical outcome of NIBIT-M4 patients and its correlation with an integrated multi-omic analysis. The NIBIT-M4 enrolled unresectable Stage III or IV cutaneous melanoma patients. Median Overall Survival (OS), Progression Free Survival (PFS), 5-year OS and PFS rate, and median Duration of Response (DoR) were assessed. Tumor biopsies were performed at baseline and at week 4 and 12 on-treatment. RNA-seq, whole exome sequencing (WES), RRBS methylation profiling, and tumor immune contexture data generated by immunohistochemistry (IHC), were integratively analyzed and correlated with clinical outcome. Patients were classified as responder (R) or non-responder (NR) based on Disease Control. Nineteen patients were enrolled in the NIBIT-M4 study between October 2015, and August 2018. As of July 1, 2022, median OS was 25.6 months (mo) (95% CI, 0.0-52.9), median PFS was 5.2 mo (95% CI, 4.0-6.4); 5-year OS rate was 28.9% and 5-year PFS rate was 5.3 %; median DoR was 20.6 mo (95% CI, 12.4-28.8). Tumor biopsies for correlative analyses were available from 14 patients. Compared to NR, R patients showed higher mutation frequency in NRAS, while NR patients harbored more frequent somatic alterations in genes involved in Epithelial to Mesenchymal Transition (EMT) and chromatin organization pathways. By tumor transcriptome analysis, NR patients showed enrichment for proliferation/differentiation/EMT pathways associated with suppression of INF-ɣ/HLA-II/immune-related transcriptional modules. R patients displayed a dynamic pattern of activated immune signatures related to CD8+ Tex cells, B cells, tertiary lymphoid structures, TFH cells and IFN-ɣ, reaching highest expression levels in week 12 biopsies. Deconvolution of transcriptomic data showed higher CD8+ and NK cell content and higher correlation of TCRB clonality with CD8+ content in R patients. By integration of a genetic immunoediting index (GIE) with an adaptive immunity signature (ICR) lesions were stratified into four distinct subsets. Interestingly, the ICR/GIE classification discriminated 5-year OS and PFS while the classification based on response groups did not. Moreover, patients with a “high ICR/non-GIE” (i.e., without immunoediting) showed lower expression of antigen presentation and processing-related genes associated with defective HLA-class I expression in the lesions, in spite of high CD8+ content. Citation Format: Teresa Noviello, Anna Maria Di Giacomo, Francesca Pia Caruso, Alessia Covre, Giovanni Scala, Luigi Ferraro, Sandra Coral, Wolf H. Fridman, Catherine Sautes-Fridman, Roberta Mortarini, Elena Simonetti, Maria Fortunata Lofiego, Davide Bedognetti, Andrea Anichini, Michele Ceccarelli, Michele Maio. Guadecitabine plus ipilimumab in unresectable melanoma: Five-year follow-up and correlation with integrated, multi-omic analysis in the NIBIT-M4 trial [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 3273.