Insights into the post-translational modification and its emerging role in shaping the tumor microenvironment

More and more in-depth studies have revealed that the occurrence and development of tumors depend on gene mutation and tumor heterogeneity. The most important manifestation of tumor heterogeneity is the dynamic change of tumor microenvironment (TME) heterogeneity. This depends not only on the tumor cells themselves in the microenvironment where the infiltrating immune cells and matrix together forming an antitumor and/or pro-tumor network. TME has resulted in novel therapeutic interventions as a place beyond tumor beds. The malignant cancer cells, tumor infiltrate immune cells, angiogenic vascular cells, lymphatic endothelial cells, cancer-associated fibroblastic cells, and the released factors including intracellular metabolites, hormonal signals and inflammatory mediators all contribute actively to cancer progression. Protein post-translational modification (PTM) is often regarded as a degradative mechanism in protein destruction or turnover to maintain physiological homeostasis. Advances in quantitative transcriptomics, proteomics, and nuclease-based gene editing are now paving the global ways for exploring PTMs. In this review, we focus on recent developments in the PTM area and speculate on their importance as a critical functional readout for the regulation of TME. A wealth of information has been emerging to prove useful in the search for conventional therapies and the development of global therapeutic strategies.

IMMU-38. DEEP IMMUNOPROFILING OF HUMAN GLIOBLASTOMA (GBM) REVEALS DIFFERENCES IN THE TUMOR IMMUNE CELL INFILTRATE IN PATIENTS WITH HIGH VS. LOW PLASMA CELL-FREE DNA (CFDNA)

BACKGROUND We have previously demonstrated that high baseline plasma cfDNA concentration is associated with poor survival in patients with newly diagnosed GBM. The mechanism of this association remains unknown. To explore whether differences in the immune landscape between high- vs. low-cfDNA patients may play a role in their divergent clinical outcomes, we phenotyped tumors from patients with high vs. low cfDNA using mass cytometry by time of flight (CyTOF). METHODS We performed CyTOF on frozen tumor infiltrate suspension from a pilot cohort of patients with previously untreated GBM with known baseline plasma cfDNA concentration (Bagley, Clin Cancer Res 2020). CyTOF was used to simultaneously measure expression of 39 molecules related to immune cell lineage, differentiation state, and function. Differences in immune cell infiltrates between high- and low-cfDNA patients were assessed using Mann-Whitney U tests. RESULTS Four patients with high cfDNA (median 57, range 33-90 ng/mL) were compared to six patients with low cfDNA (median 12, range 7-16 ng/mL). Immune cell infiltrates with increased adaptive cells (high monocytes and T cells, p=0.05) were present in high-cfDNA compared to low-cfDNA patients. While > 70% of the infiltrating T cells were exhausted in both groups, the pattern of exhaustion was significantly different in high- vs. low-cfDNA patients, with less CXCR5+CD69+ and more CXCR5-CD69- (p=0.008) progenitor exhausted T cells in cfDNA-high patients. CONCLUSIONS In this GBM pilot study, we demonstrated differences in the tumor immune infiltrate in patients with high vs. low baseline plasma cfDNA concentration. Preclinical studies will be needed to determine if this explains the association between high plasma cfDNA and poor outcomes previously observed in patients. Our results may have implications for the use of cfDNA concentration as a predictive biomarker for immunotherapy, as tumors with more intermediate progenitor (CXCR5-CD69-) exhausted T cells may respond better to PD-1 checkpoint blockade.

Identification of hub genes associated with prognosis, diagnosis, immune infiltration and therapeutic drug in liver cancer by integrated analysis

Background Liver cancer is one of the most common cancers and causes of cancer death worldwide. The objective was to elucidate novel hub genes which were benefit for diagnosis, prognosis, and targeted therapy in liver cancer via integrated analysis. Methods GSE84402, GSE101685, and GSE112791 were filtered from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were identified by using the GEO2R. The GO and KEGG pathway of DEGs were analyzed in the DAVID. PPI and TF network of the DEGs were constructed by using the STRING, TRANSFAC, and Harmonizome. The relationship between hub genes and prognoses in liver cancer was analyzed in UALCAN based on The Cancer Genome Atlas (TCGA). The diagnostic value of hub genes was evaluated by ROC. The relationship between hub genes and tumor-infiltrate lymphocytes was analyzed in TIMER. The protein levels of hub genes were verified in HPA. The interaction between the hub genes and the drug were identified in DGIdb. Results In total, 108 upregulated and 60 downregulated DEGs were enriched in 148 GO terms and 20 KEGG pathways. The mRNA levels and protein levels of CDK1, HMMR, PTTG1, and TTK were higher in liver cancer tissues compared to normal tissues, which showed excellent diagnostic and prognostic value. CDK1, HMMR, PTTG1, and TTK were positively correlated with tumor-infiltrate lymphocytes, which might involve tumor immune response. The CDK1, HMMR, and TTK had close interaction with anticancer agents. Conclusions The CDK1, HMMR, PTTG1, and TTK were hub genes in liver cancer; hence, they might be potential biomarkers for diagnosis, prognosis, and targeted therapy of liver cancer.

Identification of Hyal2-expressing tumor-associated myeloid cells in cancer: implications for cancer-related inflammation through enhanced hyaluronan degradation

Increased presence of myeloid derived suppressor cells (MDSCs) and tumor-associated macrophages (TAMs) in tumor tissue has been extensively reported. These cells represent a major constituent of tumor infiltrate and exhibit a distinct phenotype with immunosuppressive and tolerogenic functions. However, their role in the regulation of hyaluronan (HA) metabolism in the tumor microenvironment has not been established. Here we describe a novel function of tumor-associated myeloid cells related to the enhanced breakdown of extracellular HA in human bladder cancer tissue leading to accumulation of small HA fragments with MW <20 kDa. Increased fragmentation of extracellular HA and accumulation of low molecular weight HA (LMW-HA) in tumor tissue was associated with elevated production of multiple inflammatory cytokines, chemokines, and angiogenic factors. The fragmentation of HA by myeloid cells was mediated by the membrane-bound enzyme hyaluronidase 2 (Hyal2). The increased numbers of Hyal2+CD11b+ myeloid cells were detected in the tumor tissue as well as in the peripheral blood of bladder cancer patients. Co-expression of CD33 suggests that these cells belong to monocytic myeloid-derived suppressor cells. HA-degrading function of Hyal2-expressing MDSCs could be enhanced by exposure to tumor-conditioned medium, and IL-1β was identified as one of factors involved in the stimulation of Hyal2 activity. CD44-mediated signaling plays an important role in the regulation of HA-degrading activity of Hyal2-expressing myeloid cells, since engagement of CD44 receptor with specific monoclonal antibody triggered translocation of Hyal2 enzyme to the cellular surface and also stimulated secretion of IL-1β. Taken together, this work identifies the Hyal2-expressing tumor-associated myeloid cells, and links these cells to the accumulation of LMW-HA in the tumor microenvironment and cancer-related inflammation and angiogenesis.

PD-L1 Expression and a High Tumor Infiltrate of CD8+ Lymphocytes Predict Outcome in Patients with Oropharyngeal Squamous Cells Carcinoma

Carcinogenesis of human papillomavirus (HPV)-related (+) oropharyngeal squamous cell carcinoma (OPSCC) differs from HPV-negative (–) OPSCC. HPV-related immune-escape-mechanism could be responsible for the development and progression of HPV+ tumors and an immunophenotype different from HPV– OPSCC is expected. The purpose of this study was to analyze the expression of programmed cell death protein 1 ligand 1 (PD-L1) and its prognostic relevance in relation to CD8+ tumor infiltrating lymphocytes (TILs) and the major histocompatibility complex (MHC) I expression in OPSCC. We quantified PD-L1 expression on tumor cells (TC) and macrophages and MHC I expression in association to CD8+ TILs by immunohistochemistry on tissue microarray derived from 171 HPV+/-OPSCC. HPV-status was determined by p16INK4a immunohistochemistry/HPV-DNA detection. Presence of CD8+ TILs, PD-L1 expression on TC, and a more frequent loss of MHC I in HPV+ compared to HPV- OPSCC was detected. A high amount of CD8+ TILs in the whole cohort and in HPV+ OPSCC and PD-L1 expression on TC in HPV- OPSCC was associated with favorable overall survival. There was a trend for an improved outcome according to PD-L1 expression (macrophages) in HPV+ OPSCC without reaching statistical significance. CD8+ TILs and PD-L1-expression have prognostic impact in OPSCC and might present useful biomarkers for predicting clinical outcome and personalized therapy concepts.

Utilizing quantitative multiplex immunofluorescence to characterize paracrine interactions within the tumor-immune landscape of metastatic melanoma.

e15184 Background: Clinical responses to anti-PD1 immunotherapy in patients with metastatic melanoma (MM) remain challenging to predict. This clinical heterogeneity is also reflected in the tumor-immune microenvironment among patients and within a single tumor lesion. With the emergence of multiplex imaging platforms, defining complex phenotypes at single cell resolution has become possible. Here, we sought to objectively quantify paracrine tumor-immune interactions contributing to the variable clinical responses observed in patients receiving anti-PD1 therapy. Methods: Excisional lymph node (LN) biopsies were obtained from treatment-naïve patients with MM who underwent subsequent anti-PD1 therapy. A single 5µm section of LN tissue was used to assess a 42 analyte panel by multiplex immunofluorescence. From 30 LN samples, 418 fields of view (FOVs) were selected resulting in 14,360 high-resolution images of 4 anatomical subregions: tumor core, tumor-immune interface, tumor infiltrate and adjacent immune stroma. Following image processing, we developed an adaptive classification for tumor-centric cellular neighborhoods (TCCN) to identify and quantify critical paracrine interactions within the tumor-immune microenvironment. Results: Stratification based on responsiveness to anti-PD1 therapy resulted in 4 complete responders (CR) and 12 non-responders (NR) at 12-week follow-up. From 126 FOVs, we defined the cellular composition of 197,865 TCCN across patients based on clinical response and LN subregions. Overall, the percentage of TCCN devoid of any T cells, B cells or macrophages was significantly higher in NR compared to CR irrespective of subregion. However, other markers differentiated TCCN based on subregion. Specifically in CR, tumor core regions were enriched for CD8 T cells, while enrichment for B cells and endothelial cells was demonstrated at the tumor-immune interface. Strikingly, tumor infiltrate regions demonstrate robust immune reactivity with enrichment for M1 polarized macrophages, NK cells and B cells in CR compared to NR. Complete data from the 30 patient cohort across 418 FOVs will be presented. Conclusions: Taken together, this data suggests cellular composition of TCCN across subregions of the LN is dynamic within a single metastatic site. In this small cohort, we introduce a formalized stratification to quantify and classify critical paracrine interactions within the immune-tumor microenvironment with the potential to inform clinical responsiveness to therapy.