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The current standard-of-care cytogenetic techniques for the analysis of hematological malignancies include karyotyping, fluorescence in situ hybridization, and chromosomal microarray, which are labor intensive and time and cost prohibitive, and they often do not reveal the genetic complexity of the tumor, demonstrating the need for alternative technology for better characterization of these tumors. Herein, we report the results from our clinical validation study and demonstrate the utility of optical genome mapping (OGM), evaluated using 92 sample runs (including replicates) that included 69 well-characterized unique samples (59 hematological neoplasms and 10 controls). The technical performance (quality control metrics) resulted in 100% first-pass rate, with analytical performance (concordance) showing a sensitivity of 98.7%, a specificity of 100%, and an accuracy of 99.2%. OGM demonstrated robust technical, analytical performance, and interrun, intrarun, and interinstrument reproducibility. The limit of detection was determined to be at 5% allele fraction for aneuploidy, translocation, interstitial deletion, and duplication. OGM identified several additional structural variations, revealing the genomic architecture in these neoplasms that provides an opportunity for better tumor classification, prognostication, risk stratification, and therapy selection. Overall, OGM has outperformed the standard-of-care tests in this study and demonstrated its potential as a first-tier cytogenomic test for hematologic malignancies.

Supplementary Table 1: List of primers used for quantitative real time PCR. Supplementary Table. 2: List of primers used for construction of pGL2 and pMIR reporter plasmids. Supplementary Table. 3: List of primers used to generate PCR amplicons for pyrosequencing analysis. Supplementary Table. 4: Sequencing primers used for pyrosequencing. Supplementary Table. 5: Primers used for qPCR analysis in ChIP assay.

A subset of primary breast tumors expresses a 308-gene signature that correlated with gene signatures specifically expressed in immune cells.

Triple-negative breast cancer (TNBC) cells are modulated in reaction to tumor-infiltrating lymphocytes. However, their specific responses to this immune pressure are unknown. In order to address this question, we first used mRNA sequencing to compare the immunophenotype of the TNBC cell line MDA-MB-231 and the luminal breast cancer cell line MCF7 after both were cocultured with activated human T cells. Despite similarities in the cytokine-induced immune signatures of the two cell lines, MDA-MD-231 cells were able to transcribe more IDO1 than MCF7 cells. The two cell lines had similar upstream JAK/STAT1 signaling and IDO1 mRNA stability. However, using a series of breast cancer cell lines, IFNγ stimulated IDO1 protein expression and enzymatic activity only in ER−, not ER+, cell lines. Treatment with 5-aza-deoxycytidine reversed the suppression of IDO1 expression in MCF7 cells, suggesting that DNA methylation was potentially involved in IDO1 induction. By analyzing several breast cancer datasets, we discovered subtype-specific mRNA and promoter methylation differences in IDO1, with TNBC/basal subtypes exhibiting lower methylation/higher expression and ER+/luminal subtypes exhibiting higher methylation/lower expression. We confirmed this trend of IDO1 methylation by bisulfite pyrosequencing breast cancer cell lines and an independent cohort of primary breast tumors. Taken together, these findings suggest that IDO1 promoter methylation regulates anti-immune responses in breast cancer subtypes and could be used as a predictive biomarker for IDO1 inhibitor–based immunotherapy. Cancer Immunol Res; 5(4); 330–44. ©2017 AACR.

The promoter region of IDO1 is differentially methylated between breast luminal epithelial and myoepithelial cells in Roadmap Epigenome data.

IDO1 promoter is hypomethylated in ER- and basal-like BC subtypes based on analysis of TCGA data

Cytokine arrays showing cytokine profiles of activated T cells from two healthy donors.

Snapshots of IDO1 RNA-seq tracks in UCSC genome browser.

Figure Legends for Supplementary Figures 1-6

Immunoblots reveals that treatments with ruxolitinib blocked STAT1-mediated IDO expression.

Purpose: Metastasis is the leading cause of death for gastric carcinoma. An epigenetic biomarker panel for predicting gastric carcinoma metastasis could have significant clinical impact on the care of patients with gastric carcinoma. The main purpose of this study is to characterize the methylation differences between gastric carcinomas with and without metastasis.Experimental Design: Genome-wide DNA methylation profiles between 4 metastatic and 4 nonmetastatic gastric carcinomas and their surgical margins (SM) were analyzed using methylated-CpG island amplification with microarray. The methylation states of 73 candidate genes were further analyzed in patients with gastric carcinoma in a discovery cohort (n = 108) using denatured high performance liquid chromatography, bisulfite-sequencing, and MethyLight. The predictive values of potential metastasis-methylation biomarkers were validated in cohorts of patients with gastric carcinoma in China (n = 330), Japan (n = 129), and Korea (n = 153).Results: The gastric carcinoma genome showed significantly higher proportions of hypomethylation in the promoter and exon-1 regions, as well as increased hypermethylation of intragenic fragments when compared with SMs. Significant differential methylation was validated in the CpG islands of 15 genes (P < 0.05) and confirmed using bisulfite sequencing. These genes included BMP3, BNIP3, CDKN2A, ECEL1, ELK1, GFRA1, HOXD10, KCNH1, PSMD10, PTPRT, SIGIRR, SRF, TBX5, TFPI2, and ZNF382. Methylation changes of GFRA1, SRF, and ZNF382 resulted in up- or downregulation of their transcription. Most importantly, the prevalence of GFRA1, SRF, and ZNF382 methylation alterations was consistently and coordinately associated with gastric carcinoma metastasis and the patients' overall survival throughout discovery and validation cohorts in China, Japan, and Korea.Conclusion: Methylation changes of GFRA1, SRF, and ZNF382 may be a potential biomarker set for prediction of gastric carcinoma metastasis. Clin Cancer Res; 20(17); 4598–612. ©2014 AACR.

Although accumulation of myeloid-derived suppressor cells (MDSC) is a hallmark of cancer, the underlying mechanism of this accumulation within the tumor microenvironment remains incompletely understood. We report here that TNFα–RIP1–mediated necroptosis regulates accumulation of MDSCs. In tumor-bearing mice, pharmacologic inhibition of DNMT with the DNA methyltransferease inhibitor decitabine (DAC) decreased MDSC accumulation and increased activation of antigen-specific cytotoxic T lymphocytes. DAC-induced decreases in MDSC accumulation correlated with increased expression of the myeloid cell lineage-specific transcription factor IRF8 in MDSCs. However, DAC also suppressed MDSC-like cell accumulation in IRF8-deficient mice, indicating that DNA methylation may regulate MDSC survival through an IRF8-independent mechanism. Instead, DAC decreased MDSC accumulation by increasing cell death via disrupting DNA methylation of RIP1-dependent targets of necroptosis. Genome-wide DNA bisulfite sequencing revealed that the Tnf promoter was hypermethylated in tumor-induced MDSCs in vivo. DAC treatment dramatically increased TNFα levels in MDSC in vitro, and neutralizing TNFα significantly increased MDSC accumulation and tumor growth in tumor-bearing mice in vivo. Recombinant TNFα induced MDSC cell death in a dose- and RIP1-dependent manner. IL6 was abundantly expressed in MDSCs in tumor-bearing mice and patients with human colorectal cancer. In vitro, IL6 treatment of MDSC-like cells activated STAT3, increased expression of DNMT1 and DNMT3b, and enhanced survival. Overall, our findings reveal that MDSCs establish a STAT3–DNMT epigenetic axis, regulated by autocrine IL6, to silence TNFα expression. This results in decreased TNFα-induced and RIP1-dependent necroptosis to sustain survival and accumulation.Significance:These findings demonstrate that targeting IL6 expression or function represent potentially effective approaches to suppress MDSC survival and accumulation in the tumor microenvironment.

Supplementary Figure S4. Methylation levels of GFRA1, SRF, and ZNF382 by DHPLC are confirmed by MethyLight and inversely correlated with their transcription levels. (A) Correlation between DNA methylation levels measured by DHPLC and MethyLight. The methylation levels of GFRA1, SRF, and ZNF382 measured by DHPLC positively correlated with the results obtained using MethyLight assay. RCN, relative copy number relative to the reference gene COL2A1 for bisulfite-modified DNA; (B) The methylation levels of these genes were inversely correlated with their mRNA levels. The mRNA levels were determined by quantitative RT-PCR assays in matched GC tissues. Statistically significant correlations were obtained using Spearman test. RCN, relative copy number relative to the reference gene GAPDH.

Supplemental Figures 1-7. Figure S1. IRF8 expression profiles in subsets of immune cells in spleens of tumor-bearing mice. Figure S2. IRF8 expression profiles in subsets of immune cells in peripheral blood of tumor-bearing mice. Figure S3. DNA methylation and MDSC accumulation in tumor-bearing mice. Figure S4. Inhibition of DNA methylation activates antigen-specific CTLs in tumor-bearing mice. Figure S5. Neutralization of TNFα increases tumor growth and MDSC accumulation. Figure S6. RIP1 and RIP3 are expressed in MDSCs. Figure S7. IL6 expression level in human colon carcinoma and melanoma. Table S1. Colorectal cancer patient data. Table S2. Colon cancer patient data.

Supplementary Table 3 from Ultradeep Bisulfite Sequencing Analysis of DNA Methylation Patterns in Multiple Gene Promoters by 454 Sequencing

Supplementary Table 1 from Ultradeep Bisulfite Sequencing Analysis of DNA Methylation Patterns in Multiple Gene Promoters by 454 Sequencing

Supplementary Figure 4 from Ultradeep Bisulfite Sequencing Analysis of DNA Methylation Patterns in Multiple Gene Promoters by 454 Sequencing

Supplementary Figure 3 from Ultradeep Bisulfite Sequencing Analysis of DNA Methylation Patterns in Multiple Gene Promoters by 454 Sequencing

Supplementary table 1 will provide a complete list of genes that are differentially regulated genes in RNA-seq analysis for control and 5-AzaC+Butyrate treated CSCs

Supplementary Table S2 will provide information about the Pathway and gene network analyses

Although alterations in xenobiotic metabolism are considered causal in the development of bladder cancer, the precise mechanisms involved are poorly understood. In this study, we used high-throughput mass spectrometry to measure over 2,000 compounds in 58 clinical specimens, identifying 35 metabolites which exhibited significant changes in bladder cancer. This metabolic signature distinguished both normal and benign bladder from bladder cancer. Exploratory analyses of this metabolomic signature in urine showed promise in distinguishing bladder cancer from controls and also nonmuscle from muscle-invasive bladder cancer. Subsequent enrichment-based bioprocess mapping revealed alterations in phase I/II metabolism and suggested a possible role for DNA methylation in perturbing xenobiotic metabolism in bladder cancer. In particular, we validated tumor-associated hypermethylation in the cytochrome P450 1A1 (CYP1A1) and cytochrome P450 1B1 (CYP1B1) promoters of bladder cancer tissues by bisulfite sequence analysis and methylation-specific PCR and also by in vitro treatment of T-24 bladder cancer cell line with the DNA demethylating agent 5-aza-2′-deoxycytidine. Furthermore, we showed that expression of CYP1A1 and CYP1B1 was reduced significantly in an independent cohort of bladder cancer specimens compared with matched benign adjacent tissues. In summary, our findings identified candidate diagnostic and prognostic markers and highlighted mechanisms associated with the silencing of xenobiotic metabolism. The metabolomic signature we describe offers potential as a urinary biomarker for early detection and staging of bladder cancer, highlighting the utility of evaluating metabolomic profiles of cancer to gain insights into bioprocesses perturbed during tumor development and progression. Cancer Res; 71(24); 7376–86. ©2011 AACR.

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Recently, impressive technical advancements have been made in the isolation and validation of mammary stem cells and cancer stem cells (CSC), but the signaling pathways that regulate stem cell self-renewal are largely unknown. Furthermore, CSCs are believed to contribute to chemo- and radioresistance. In this study, we used the MMTV-Neu-Tg mouse mammary tumor model to identify potential new strategies for eliminating CSCs. We found that both luminal progenitor and basal stem cells are susceptible to genetic and epigenetic modifications, which facilitate oncogenic transformation and tumorigenic potential. A combination of the DNMT inhibitor 5-azacytidine and the HDAC inhibitor butyrate markedly reduced CSC abundance and increased the overall survival in this mouse model. RNA-seq analysis of CSCs treated with 5-azacytidine plus butyrate provided evidence that inhibition of chromatin modifiers blocks growth-promoting signaling molecules such as RAD51AP1 and SPC25, which play key roles in DNA damage repair and kinetochore assembly. Moreover, RAD51AP1 and SPC25 were significantly overexpressed in human breast tumor tissues and were associated with reduced overall patient survival. In conclusion, our studies suggest that breast CSCs are intrinsically sensitive to genetic and epigenetic modifications and can therefore be significantly affected by epigenetic-based therapies, warranting further investigation of combined DNMT and HDAC inhibition in refractory or drug-resistant breast cancer. Cancer Res; 76(11); 3224–35. ©2016 AACR.

Supplementary Figure 2 from Ultradeep Bisulfite Sequencing Analysis of DNA Methylation Patterns in Multiple Gene Promoters by 454 Sequencing

We developed a novel approach for conducting multisample, multigene, ultradeep bisulfite sequencing analysis of DNA methylation patterns in clinical samples. A massively parallel sequencing-by-synthesis method (454 sequencing) was used to directly sequence >100 bisulfite PCR products in a single sequencing run without subcloning. We showed the utility, robustness, and superiority of this approach by analyzing methylation in 25 gene-related CpG rich regions from >40 cases of primary cells, including normal peripheral blood lymphocytes, acute lymphoblastic leukemia (ALL), chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), and mantle cell lymphoma (MCL). A total of 294,631 sequences was generated with an average read length of 131 bp. On average, >1,600 individual sequences were generated for each PCR amplicon far beyond the few clones (LRP1B promoter. This new generation of methylome sequencing will provide digital profiles of aberrant DNA methylation for individual human cancers and offers a robust method for the epigenetic classification of tumor subtypes. [Cancer Res 2007;67(18):8511–8]

This study examined DNA methylation associated with acute lymphoblastic leukemia (ALL) and showed that selected molecular targets can be pharmacologically modulated to reverse gene silencing. A CpG island (CGI) microarray containing more than 3,400 unique clones that span all human chromosomes was used for large-scale discovery experiments and led to 262 unique CGI loci being statistically identified as methylated in ALL lymphoblasts. The methylation status of 10 clones encompassing 11 genes (DCC, DLC-1, DDX51, KCNK2, LRP1B, NKX6-1, NOPE, PCDHGA12, RPIB9, ABCB1, and SLC2A14) identified as differentially methylated between ALL patients and controls was independently verified. Consequently, the methylation status of DDX51 was found to differentiate patients with B- and T-ALL subtypes (P = 0.011, Fisher's exact test). Next, the relationship between methylation and expression of these genes was examined in ALL cell lines (NALM-6 and Jurkat) before and after treatments with 5-aza-2-deoxycytidine and trichostatin A. More than a 10-fold increase in mRNA expression was observed for two previously identified tumor suppressor genes (DLC-1 and DCC) and also for RPIB9 and PCDHGA12. Although the mechanisms that lead to the CGI methylation of these genes are unknown, bisulfite sequencing of the promoter of RPIB9 suggests that expression is inhibited by methylation within SP1 and AP2 transcription factor binding motifs. Finally, specific chromosomal methylation hotspots were found to be associated with ALL. This study sets the stage for acquiring a better biological understanding of ALL and for the identification of epigenetic biomarkers useful for differential diagnosis, therapeutic monitoring, and the detection of leukemic relapse. [Cancer Res 2007;67(6):2617–25]

Supplementary Table 2 from Ultradeep Bisulfite Sequencing Analysis of DNA Methylation Patterns in Multiple Gene Promoters by 454 Sequencing

Supplementary Table 1 from Large-Scale CpG Methylation Analysis Identifies Novel Candidate Genes and Reveals Methylation Hotspots in Acute Lymphoblastic Leukemia

Supplementary Figure 1 from Ultradeep Bisulfite Sequencing Analysis of DNA Methylation Patterns in Multiple Gene Promoters by 454 Sequencing

The Supplemental materials and method file has methods for the Generation of mammospheres and tumorospheres, Preparation of single cell suspension from mammary gland, methods for RNA Isolation and Real-time PCR, and Clonogenic assay.

Supplementary Figure legends provide clear description for the Supplementary Figures S1-S7.

The Supplemental figure file contains severn additional figures. Supplementary figure 1 shows that the Lin-CD49f+CD24+ cells are tumorigenic, Supplementary Figure 2 provide additional evidence for myoepithelial stem and luminal progenitor cells are the targets of genetic mutations/epigenetic modifications that lead to tumor cell of origin, Supplementary Figure 3, shows that the treatment with DNMT and HDAC inhibitors reduces colony formation, Supplementary Figure 4l provide a Flow chart for RNA sequencing analysis, Supplementary Figure 5 shows a heat map for differential expression of genes in normal and in breast cancer, Supplementary Figure 6 shows RAD51AP1 expression in basal breast cancer, and Supplementary Figure 7 shows SPC25 expression in basal breast cancer

Chimeric antigen receptor engineered T cells (CARTs) for HCC and other solid tumors are not as effective as they are for blood cancers. CARTs may lose function inside tumors due to persistent antigen engagement. The aims of this study are to develop low-affinity monoclonal antibodies (mAbs) and low-avidity CARTs for HCC and to test the hypothesis that low-avidity CARTs can resist exhaustion and maintain functions in solid tumors, generating durable antitumor effects.New human glypican-3 (hGPC3) mAbs were developed from immunized mice. We obtained three hGPC3-specific mAbs that stained HCC tumors, but not the adjacent normal liver tissues. One of them, 8F8, bound an epitope close to that of GC33, the frequently used high-affinity mAb, but with approximately 17-fold lower affinity. We then compared the 8F8 CARTs to GC33 CARTs for their in vitro function and in vivo antitumor effects. In vitro, low-avidity 8F8 CARTs killed both hGPC3The low-avidity 8F8-BBz CART resists exhaustion and apoptosis inside tumor lesions, demonstrating a greater therapeutic potential than high-avidity CARTs.

Pathological angiogenesis is a major cause of irreversible blindness in individuals of all age groups with proliferative retinopathy (PR). Mononuclear phagocytes (MPs) within neovascular areas contribute to aberrant retinal angiogenesis. Due to their cellular heterogeneity, defining the roles of MP subsets in PR onset and progression has been challenging. Here, we aimed to investigate the heterogeneity of microglia associated with neovascularization and to characterize the transcriptional profiles and metabolic pathways of proangiogenic microglia in a mouse model of oxygen-induced PR (OIR). Using transcriptional single-cell sorting, we comprehensively mapped all microglia populations in retinas of room air (RA) and OIR mice. We have unveiled several unique types of PR-associated microglia (PRAM) and identified markers, signaling pathways, and regulons associated with these cells. Among these microglia subpopulations, we found a highly proliferative microglia subset with high self-renewal capacity and a hypermetabolic microglia subset that expresses high levels of activating microglia markers, glycolytic enzymes, and proangiogenic Igf1. IHC staining shows that these PRAM were spatially located within or around neovascular tufts. These unique types of microglia have the potential to promote retinal angiogenesis, which may have important implications for future treatment of PR and other pathological ocular angiogenesis-related diseases.

Tumor cell resistance to ferroptosis, which is a recently discovered CTL induced cell death pathway, remains incompletely understood. We report here that interferon regulatory factor 8 (IRF8) functions as a regulator of tumor cell intrinsic ferroptosis. Genome-wide gene expression profiling identified ferroptosis pathway as an IRF8-regulated pathway in tumor cells. IRF8.KO tumor cells are resistant to intrinsic ferroptosis induction and also exhibit decreased ferroptosis in response to tumor specific CTL killing. Loss of IRF8 increases p53 express in tumor cells and knocking out Tp53 in IRF8.KO cells restored tumor cell sensitivity to intrinsic ferroptosis induction. We were able to show that treating tumor-bearing mice with IRF8-encoding plasmid NTC9385R-mIRF8 encapsulated in a DOTAP-cholesterol lipid nanoparticle significantly reduced tumor growth and increased the percentage of dead cells in the tumor. Our data therefore determine that IRF8 represses p53 expression to maintain tumor cell sensitivity to intrinsic ferroptosis. Citation Format: Dakota Poschel, Mercy Kehinde-Ige, John Klement, Dafeng Yang, Alyssa Merting, Natasha Savage, Huidong Shi, Kebin Liu. IRF8 regulates tumor cell sensitivity to intrinsic ferroptosis by repressing p53 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 2 (Clinical Trials and Late-Breaking Research); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(8_Suppl):Abstract nr LB036.

Adoptive cell therapy has revolutionized the landscape of cancer immunotherapy, exhibiting unprecedented success in treating various types of cancer. Substantial investigative efforts have been devoted to gaining a deeper understanding of the ways in which adoptively transferred T cells eliminate tumors and to discovering strategies that enhance T cell functionality in the tumor microenvironment. We have established an experimental mouse model in which adoptive transfer of tumor-specific CD4+ T cells leads to eradication of established tumors. Using this model, we previously reported on the profound disruption of tumor metabolism induced by adoptive T cell therapy. However, the detailed mechanisms that enable tumor-reactive CD4+ T cells to alter tumor metabolism remain largely undefined. In the current study, we aimed to identify the key metabolic enzymes and pathways targeted by antitumor CD4+ T cells that lead to progressive tumor regression. Utilizing next-generation sequencing strategies, including bulk and single-cell RNA sequencing, we examined the metabolic changes cancer cells undergo in response to treatment, and the immune cell compositions in the tumor microenvironment. Additionally, we performed an in vivo CRISPR knockout screen to identify the metabolic genes that either sensitize tumor cells to adoptive cell therapy or contribute to tumor resistance. Results from our study may also illuminate potential targets in cancer metabolism that can be exploited using small-molecule inhibitors when adoptive cell therapy is not feasible. Citation Format: Caitlin Brandle, Ogacheko D. Okoko, Md Yeashin Gazi, Xin Wang, Mercy Kehinde-Ige, Huidong Shi, Gang Zhou. Antitumor CD4+ T cells reprogram tumor metabolism to drive progressive tumor regression [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 268.

Despite the advances in early diagnostics and therapeutics, women with metastatic breast cancer have limited treatment options. Women with TNBC, who constitute 15-20% of breast cancer patients, are often diagnosed with aggressive/metastatic disease. Advanced studies implicated immunosuppressive tumor microenvironment (TME) in aggressive/metastatic properties of TNBC subtype. Alternatively activated immature myeloid cells including tumor-associated macrophages (TAM), tumor-associated neutrophils (TAN), tumor-associated dendritic cells (TADC) and myeloid derived suppressor cells (MDSC) constitute a major component of TME. However, anti-tumorigenic microenvironment is also reported and that may have clinical relevance in early TNBC patients. Therefore, our hypothesis is that myeloid cells polarize to become immunosuppressive and infiltrate tumors and pre-metastatic niches in patients with advanced disease, while patients with early TNBCs may elicit anti-tumor immune response eliminating disseminated tumor cells (DTC). The utilization of syngeneic immunocompetent mouse models has contributed to our current understanding of immunosuppressive or immunomodulatory TME. Using these models, we have demonstrated that tumor dissemination and growth at metastatic sites is facilitated by MDSC’s. Emerging technologies; single cell RNA sequencing (scRNA-Seq), mass cytometry (CyTOF) or cellular indexing of transcriptomes and epitopes sequencing (CITE-Seq) has been powerful platforms for detailed characterization of tumors and TME compartments. We performed scRNA-Seq and CyTOF analyses of the myeloid cell populations of tumors and spleens from metastatic 4T1 and non-invasive EMT6 tumor-bearing mice. Tumors and spleens from 4T1 tumor-bearing mice exhibited a marked expansion of myeloid cell subsets that are characterized by the expression of immunosuppressive as well as progenitor markers. On the contrary, indicated tissues from EMT6 mice were enriched in NK cells, T and B lymphocytes and they were lacking immunosuppressive myeloid cell subsets. Furthermore, we identified a distinct differentiation pattern of immature myeloid cell subsets from neutrophil progenitors (NP) in 4T1 tumor-bearing mice. Using the murine TNBC models in syngeneic mice, we provide evidence that early TNBC tumors may elicit anti-tumor immune responses and thus the survival outcome in those patients is substantially increased after complete surgical resection of the primary tumors. Whereas immunosuppressive tumor microenvironment contributes to the poor overall survival in patients with advanced TNBCs. Therefore, identifying an anti-tumor immune signature in early TNBC patients may be utilized as a clinical biomarker before surgical intervention as well as improve the survival outcome. Citation Format: Hasan Korkaya, Elayne Benson, Fulya Koksalar Alkan, Justin Wilson, Tulshi Patel, Hilmi K. Alkan, Virginia McEvoy, Nika Shekastehband, Nate Francois, Huidong Shi, Catherine C. Hedrick. Phenotypic & functional diversity of tumor associated neutrophils in murine breast tumor models. [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 4600.

Adoptive Cell Therapy (ACT) holds great promise to transform cancer treatments. However, applying ACT to a broad patient population still faces major challenges. The significant barriers to the success of ACT have been attributed to multiple factors, including functional exhaustion, poor persistence, and the inability of T cells to efficiently compete against tumor cells for metabolic resources in the tumor microenvironment (TME). These functional deficiencies highlight the importance of targeting T cell metabolism to improve ACT treatment outcomes. In the TME, tumor cells preferentially utilize glycolysis to rapidly generate ATP, converting pyruvate into lactate and creating a hypoxic environment that is inconducive for effector T cells due to a lack of access to the metabolites needed for sustenance, leading to T cell exhaustion, and declined proliferation. Consequently, T cells lose their function and are unable to persist against tumor cells. The expression of Constitutively Active Signal Transducer and Activator of Transcription 5A (CASTAT5) on tumor-specific CD4+ T cells has been shown to improve their persistence, polyfunctionality, and anti-tumor effects. Our hypothesis is that the improved polyfunctionality and persistence of CASTAT5-CD4+ T cells are partly due to the reprogramming of their metabolic landscape by CASTAT5, resulting in improved metabolic fitness. Single-cell metabolic pathway enrichment analysis of the identified polyfunctional CASTAT5-CD4+ T cells revealed increased capacity for glycolysis, electron transport chain, oxidative phosphorylation, and amino acid metabolism. Single-cell Flux Estimation Analysis (scFEA) further revealed increased metabolic fluxes in amino acid uptake and synthesis, glycolysis, tricarboxylic acid (TCA) cycle, and polyamine synthesis. Interestingly, CASTAT5-CD4+ T cells showed increased polyamine (spermine and spermidine) synthesis, with the upregulation of the metabolic fluxes from putrescine to spermine, catalyzed by spermidine synthase (Srm) and spermine synthase (Srs), both of which are also upregulated in the polyfunctional CD4+ T cell populations. Spermidine and spermine have been shown to enhance mitochondrial metabolism in T cells, increasing their proliferation and survival. Here, we show that there is increased synthesis of spermine in CASTAT5-CD4+ T cells, which may contribute to their increased capacity for oxidative phosphorylation and TCA cycle, leading to the observed improvements in their persistence and anti-tumor function. These findings suggest a role for the polyamine synthesis pathway in the improvement of T cell function. Further studies modulating targets within the polyamine synthesis pathway will help provide an improved understanding of the underlying mechanisms affecting T cell function, thus, unveiling potential metabolic targets to improve the efficacy of tumor-specific T cells. Citation Format: Mercy Kehinde-Ige, Ogacheko Okoko, Zhi-Chun Ding, Gang Zhou, Huidong Shi. Single-cell flux estimation analysis reveals the metabolic states of tumor-specific CD4+ T cells. [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 3693.

3D printing technology is considered as a highly flexible method which can achieve a various customized end products. The employment of bio-based materials can significantly decrease the environmental footprint of the end 3D printing products. This study presents the preparation of thermoplastic starch (TPS)/poly(lactic acid) (PLA)/poly(butyleneadipate-co-terephthalate) (PBAT) composite that dedicated for the FDM 3D printing technology, the ratio of TPS:PLA:PBAT was fixed at 50:40:10 wt%. In addition, the chain extender ADR4468 (CE) was added to improve the brittleness of the blends to obtain better 3D printing filament. The mechanical properties of blends were improved by the addition of CE with 113 % increase in elongation at break and the 190 % raise in impact strength. Dynamic rheological analysis showed the maximum degree of complex viscosity and melt strength when the content of CE reached 1 wt%. The successful printability of TPS-based filament was demonstrated by accurate and complex printing samples. This paper provided a method to prepare highly renewable filaments for 3D printing.

As the high throughput technologies rapidly develop, multiple types of genomic data become available within and across different studies. It has become a challenging task in modern statistical research to use all types of genomic data to infer some disease-prone genetic information. In this work, we propose an integrative analysis of multiple and different types of genomic data, clinical covariates and survival data under a framework of an accelerated failure time with frailty model. The proposed integrative approach aims to answer some aspects of the complex problem in genomic data analysis by finding relevant genomic features and inferring patients’ survival time using identified features. The proposed integrative approach is developed using a weighted least-squares with a sparse group LASSO penalty as the objective function to simultaneously estimate and select the relevant features. Extensive simulation studies are conducted to assess the performance of the proposed method with two types of genomic data, DNA methylation data and copy number variation data, on 600 genes and three clinical covariates. The simulation results show promises of the proposed method. The proposed method is applied to the analysis of the Cancer Genome Atlas data on Glioblastoma, a lethal brain cancer, and biologically interpretable results are obtained.

Hematological neoplasms are predominantly defined by chromosomal aberrations that include structural variations (SVs) and copy number variations (CNVs). The current standard-of-care (SOC) genetic testing for the detection of SVs and CNVs relies on a combination of traditional cytogenetic techniques that include karyotyping, fluorescence in situ hybridization (FISH), and chromosomal microarrays (CMA). These techniques are labor-intensive, time and cost-prohibitive, and often do not reveal the genetic complexity of the tumor. Optical genome mapping (OGM) is an emerging technology that can detect all classes of SVs in a single assay. We report the results from our clinical validation (in a CLIA setting) of the OGM technique for hematological neoplasms. The study included 92 sample runs (including replicates) using 69 well-characterized unique samples (59 hematological neoplasms and 10 controls). The technical (QC metrics and first-pass rate) and analytical performance [sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV)] were evaluated using the clinical samples. The reproducibility was evaluated by performing inter-run, intra-run, and inter-instrument comparisons using six samples run in triplicates. The limit of detection (LoD) for aneuploidy, translocation, interstitial deletion, and duplication was assessed. To confirm the LoD, samples at 12.5%, 10%, and 5% allele fractions (theoretical LoD range) were run in triplicates. The technical performance resulted in a 100% first-pass rate with all samples meeting the minimum QC metrics. The analytical performance showed a sensitivity of 98.7%, specificity of 100%, accuracy of 99.2%, PPV of 100%, and NPV of 98%, which included the detection of 61 aneuploidies, 34 deletions, 28 translocations, 11 duplications/amplifications, 15 insertions/additional material not identified with karyotyping, 12 marker chromosomes, and one each of ring chromosome, inversion and isochromosome. OGM demonstrated robust technical and analytical inter-run, intra-run, and inter-instrument reproducibility. The LoD was determined to be at 5% allele fraction for all the variant classes evaluated in the study. In addition, OGM demonstrated higher resolution to refine breakpoints, identify the additional genomic material, marker, and ring chromosomes. OGM identified several additional SVs, revealing the genomic architecture in these neoplasms that provides an opportunity for better tumor classification, prognostication, risk stratification, and therapy selection. This study is the first CLIA validation report for OGM for genome-wide structural variation detection in hematological neoplasms. Considering the technical and analytical advantages of OGM compared to the current SOC methods used for chromosomal characterization, we highly recommend OGM as a potential first-tier cytogenetic test for the evaluation of hematological neoplasms.

Although accumulation of myeloid-derived suppressor cells (MDSC) is a hallmark of cancer, the underlying mechanism of this accumulation within the tumor microenvironment remains incompletely understood. We report here that TNFα–RIP1–mediated necroptosis regulates accumulation of MDSCs. In tumor-bearing mice, pharmacologic inhibition of DNMT with the DNA methyltransferease inhibitor decitabine (DAC) decreased MDSC accumulation and increased activation of antigen-specific cytotoxic T lymphocytes. DAC-induced decreases in MDSC accumulation correlated with increased expression of the myeloid cell lineage-specific transcription factor IRF8 in MDSCs. However, DAC also suppressed MDSC-like cell accumulation in IRF8-deficient mice, indicating that DNA methylation may regulate MDSC survival through an IRF8-independent mechanism. Instead, DAC decreased MDSC accumulation by increasing cell death via disrupting DNA methylation of RIP1-dependent targets of necroptosis. Genome-wide DNA bisulfite sequencing revealed that the Tnf promoter was hypermethylated in tumor-induced MDSCs in vivo. DAC treatment dramatically increased TNFα levels in MDSC in vitro, and neutralizing TNFα significantly increased MDSC accumulation and tumor growth in tumor-bearing mice in vivo. Recombinant TNFα induced MDSC cell death in a dose- and RIP1-dependent manner. IL6 was abundantly expressed in MDSCs in tumor-bearing mice and patients with human colorectal cancer. In vitro, IL6 treatment of MDSC-like cells activated STAT3, increased expression of DNMT1 and DNMT3b, and enhanced survival. Overall, our findings reveal that MDSCs establish a STAT3–DNMT epigenetic axis, regulated by autocrine IL6, to silence TNFα expression. This results in decreased TNFα-induced and RIP1-dependent necroptosis to sustain survival and accumulation. Significance: These findings demonstrate that targeting IL6 expression or function represent potentially effective approaches to suppress MDSC survival and accumulation in the tumor microenvironment.

The role of glucose-6-phosphate dehydrogenase (G6PD) in human cancer is incompletely understood. In a metabolite screening, we observed that inhibition of H3K9 methylation suppressed aerobic glycolysis and enhances the PPP in human mesothelioma cells. Genome-wide screening identified G6PD as an H3K9me3 target gene whose expression is correlated with increased tumor cell apoptosis. Inhibition of aerobic glycolysis enzyme LDHA and G6PD had no significant effects on tumor cell survival. Ablation of G6PD had no significant effect on human mesothelioma and colon carcinoma xenograft growth in athymic mice. However, activation of G6PD with the G6PD-selective activator AG1 induced tumor cell death. AG1 increased tumor cell ROS production and the resultant extrinsic and intrinsic death pathways, mitochondrial processes, and unfolded protein response in tumor cells. Consistent with increased tumor cell death in vitro, AG1 suppressed human mesothelioma xenograft growth in a dose-dependent manner in vivo. Furthermore, AG1 treatment significantly increased tumor-bearing mouse survival in an intra-peritoneum xenograft athymic mouse model. Therefore, in human mesothelioma and colon carcinoma, G6PD is not essential for tumor growth. G6PD acts as a metabolic checkpoint to control metabolic flux towards the PPP to promote tumor cell apoptosis, and its expression is repressed by its promotor H3K9me3 deposition.

Obesity results from a chronic energy imbalance due to energy intake exceeding energy expenditure. Activation of brown fat thermogenesis has been shown to combat obesity. Epigenetic regulation, including DNA methylation, has emerged as a key regulator of brown fat thermogenic function. Here we aimed to study the role of Dnmt3b, a DNA methyltransferase involved in de novo DNA methylation, in the regulation of brown fat thermogenesis and obesity. We found that the specific deletion of Dnmt3b in brown fat promotes the thermogenic and mitochondrial program in brown fat, enhances energy expenditure, and decreases adiposity in female mice fed a regular chow diet. With a lean phenotype, the female knockout mice also exhibit increased insulin sensitivity. In addition, Dnmt3b deficiency in brown fat also prevents diet-induced obesity and insulin resistance in female mice. Interestingly, our RNA-seq analysis revealed an upregulation of the PI3K-Akt pathway in the brown fat of female Dnmt3b knockout mice. However, male Dnmt3b knockout mice have no change in their body weight, suggesting the existence of sexual dimorphism in the brown fat Dnmt3b knockout model. Our data demonstrate that Dnmt3b plays an important role in the regulation of brown fat function, energy metabolism and obesity in female mice.