Cell Cycle Pathways Research Articles

Abstract 2085: Targeting the translation initiation complex component eIF4G1 in melanoma

Abstract The translation initiation factor 4F (eIF4F) complex assembly is a rate-limiting step in mRNA translation. eIF4F subunits including eIF4A, eIF4E, and eIF4G, are often upregulated in cancer and neurodegeneration diseases. Elevated eIF4F level/activity has been correlated with poor prognosis and drug resistance. Leveraging our findings with the small molecule SBI-756, which interacts with eIF4G1 and impairs eIF4F complex assembly, we set to map domains that are required for SBI-756 activity. A CRISPR screen using sgRNAs that target different sequences on eIF4G1 led to the identification of the MA3 domain, as a putative binding site for SBI-756. Deletion/mutation of the eIF4G1 MA3 domain attenuated melanoma cells and spheroids growth. Polysome profiling assays confirmed attenuated translation activity, which resembled those seen with SBI-756. In silico virtual screen identified 64 small molecules (out of >10 million) that interact with the MA3 domain. Of these, we have selected four that effectively attenuated melanoma growth in culture. Analogs developed for these four compounds were more potent in impairing the assembly of the eIF4F complex, inhibition of protein translation and the 2D and 3D growth of melanoma cells. RNA-sequencing analysis highlighted altered expression of genes implicated in apoptosis, UPR, cell cycle, and ROS pathways, leading us to test possible combination with pathways that may complement the above. Among those, autophagy inhibitors synergized with our lead compound, M19-6, resulting in efficient melanoma cell death, using notably lower concentrations of these inhibitors. Our findings identify the eIF4G1 MA3 domain as an important player in eIF4F assembly and a potential target for cancer therapy. Citation Format: Yongmei Feng, Mariia Radaeva, Hyungsoo Kim, Anagha Deshpande, Ani Deshpande, Predrag Jovanovic, Rabi Murad, Ivan Topisirovic, Steven Olson, Artem Cherkasov, Ze'ev Ronai. Targeting the translation initiation complex component eIF4G1 in melanoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2085.

Abstract 4722: Enhanced phenotypic screening: A kinetic, multiplexed approach to analyzing drug effects using Incucyte® Live-Cell Analysis System

Abstract Phenotypic screening is a valuable tool for analysis of the complex mix of effects that drug treatment has on cells. Traditionally image-based screening uses fixed cells stained with reagents at a pre-chosen end point, however our technique combines kinetic, label-free readouts with non-perturbing fluorescence reporters to enable information-rich quantification of compound effects. A549 lung cancer cells were treated with a library of over 800 FDA-approved drugs while images were acquired in the Incucyte® Live-Cell Analysis System every two hours for four days. Cell growth and viability were measured using label-free readouts of confluence and dead cell count while cell cycle, cell death and Akt pathways were investigated using multiplexed fluorescent readouts. Cytotoxicity was measured using label-free Incucyte® AI Cell Health Analysis Software Module which uses two neural networks to segment individual cells and classify them as live or dead. Assay robustness was quantified using the time course of positive and negative controls (camptothecin and vehicle, respectively). Z’ reached a maximal value >0.9 between 48h and 72h; at 72h 4.4% of the compounds within the library induced >50% cell death. Correlation between % Live cells and % Confluence indicated 3 types of effect: cytotoxic (low viability, low confluence), cytostatic (high viability, low confluence), and none (high viability, high confluence). Morphological changes were observed in a multitude of wells with 29 compounds inducing cell enlargement >1800 µm2, suggesting induction of senescence. Hits from fluorescent readouts were identified as the compounds which perturbed the quantified readout more than 3 standard deviations away from the mean value of the vehicle. Mechanisms of cell death were examined by correlative analysis of the total dead cell population (label-free cell death identification), caspase-active (caspase 3/7-reagent positive) and Annexin V positive cells. This enabled rapid identification of compounds which induced apoptosis by caspase-independent pathways, including the serotonin-selective reuptake inhibitor Sertraline. Kinetic plots of cell cycle stage (% S|G2|M or G1) revealed contrasting mechanisms. Mycophenolic acid induced cell cycle arrest, observed as a consistent increase in the percentage of cells in G1 over time. However flumazenil displayed repeated, transient peaks in the percentage of cells in S|G2|M over the same 72h period, indicating synchronisation behavior. Incucyte® Live-Cell Analysis System as a phenotypic screening platform provides valuable kinetic data from cells within the physiologically relevant environment of a standard incubator. Label-free readouts yield direct cellular information and can be combined with fluorescent data to provide vastly more information than a single endpoint readout. Citation Format: Kirsty McBain, Gillian Lovell, Jasmine Trigg, Nicola Bevan, Daniel Appledorn. Enhanced phenotypic screening: A kinetic, multiplexed approach to analyzing drug effects using Incucyte® Live-Cell Analysis System [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4722.

Dissecting Combinational Mechanisms of Herbal Formula from a Transcriptome-based Multi-scale Network Pharmacology Model

Abstract Objective: Illumination of the integrative effects of herbs in a formula is a bottleneck that limits the development of traditional Chinese medicine (TCM). In the present study, we developed a transcriptome-based multi-scale network pharmacology model to explore the combined effects of different herbs. Materials and Methods: First, we curated gene signatures at different biological scales, from the molecular to higher tissue levels, including tissues, cells, pathological processes, biological processes, pathways, and targets. Second, using the Xiexin Tang (XXT) formula as an example, we collected transcriptomic data in response to the treatment of XXT or its three compositive herbs on Michigan cancer foundation7 cells. Third, we linked each herbal drug to different biological scales by calculating the correlation scores between herb-induced gene expression profiles and gene signatures. Finally, the combined mechanisms of the three constituent herbs in XXT were deciphered by comparing their multi-scale effects with those of the formula. Results: The results showed that although XXT or single herbs regulated a large number of signatures on each biological scale, the phenotypic effects of these herbal drugs are concentrated onto the “Blood” tissue, types of hemocytes, and hemorrhagic injury-related pathological processes. At the molecular level, these herbs consistently regulate processes such as the cell cycle and blood coagulation-related pathways, as well as protein targets related to the immunoinflammatory response and blood coagulation, such as proteinase-activated receptor 2, integrin beta-3, inhibitor of nuclear factor kappa-B kinase subunit beta, and coagulation factor XII. The analysis of the combinational modes demonstrated that different herbs can cooperate by acting on the same objects and/or regulating different objects in related functions, and cooperative behaviors change at different biological scales. Conclusions: Our model can dissect the combined effects of herbal formulae from a multi-scale perspective and should be beneficial for the development and exploitation of TCM.

Abstract 6279: Estrogen signaling in low-grade serous ovarian carcinoma

Abstract High level of estrogen in the blood of women has been linked to the progression and possibly development of ovarian cancer. Almost all low-grade serous ovarian cancer (LGSOC) expresses estrogen receptor alpha (ERα protein encoded by the gene ESR1) and develops during reproductive age of women. However, recent studies suggested that a higher expression of ERα correlates with better survival. In a phase II clinical trial, hormonal therapies have been shown to be associated with a clinical benefit rate of 61% for recurrent ER-positive LGSOC patients. The study also indicated that women with recurrent LGSOC who received hormonal therapies had a significantly longer progression-free survival but not overall survival. Endocrine therapies have proven to be effective in treating breast cancer. Unfortunately, in ovarian cancer clinical trials (GOG0281 and PARAGON), these treatments have not achieved comparable results, with an objective response rate of only approximately 14%. To understand the ESR1 regulation in LGSOC, we have performed RNAseq and ChIPseq analyses of LGSOC tumor tissues. We also forced over-expression of ESR1 in LGSOC cell lines. Using RNAseq data, we aligned the sequencing reads to all the known ESR1 transcript variants. We found that ESR1 transcript variant 1, 2, 3 and X11 were the major transcripts expressed. Variants 1, 2 and 3 encode the regular 66 kDa ESR1 protein, while the X11 variant encodes a 52 kDa ESR1 protein. Both 66 kDa and 52 kDa ESR1 proteins were also detected in LGSOC tumor tissues by western blots. To further explore the function of ESR1 66kDa in LGSOC, we over-expressed ESR1 variant 1 in two LGSOC cell lines (HOC-7 and HCC5075) by transfecting with an expression plasmid. Total proteins were extracted from the mock control and transfected cells for functional proteomic analysis by reverse phase protein arrays (RPPA). From the RPPA data, overexpressing ESR1 in LGSOC cell lines suppressed DNA repair pathways but activated cell cycle and mitosis pathways. To further delineate the ESR1 DNA binding sites in LGSOC, we performed ChIPseq analysis of these tumor samples as well as two ovarian cancer cell lines that express ESR1 protein. Our results demonstrated that ESR1 regulated “cistromes” in ER positive ovarian carcinoma is very different from that in ER positive breast cancer as much less ESR1 binding sites were found in LGSOC. There are ESR1 binding sites common to both types of cancers, but we found quite a few unique ESR1 binding sites. We are trying to integrate the ChIPseq and RNAseq data and hopefully identify, for the first time, an ovarian cancer specific ERα cistrome. ER expression may not always correlate with activation of ESR1 signaling pathways, which may be one of the reasons underlying endocrine therapy resistance in ovarian cancer. The results of an integrated analyses will also give us insight on the management of ER positive LGSOC by identifying new genetic targets that may be used in combination with endocrine therapy. Citation Format: Yvonne TM Tsang, Chun Wai Oscar Ng, David Gershenson, K-Kwok wong. Estrogen signaling in low-grade serous ovarian carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6279.

Abstract 6834: Periostin involvement in cellular senescence in ovarian cancer

Abstract Purpose: Despite improvements in care and advancements in the understanding of ovarian cancer (OC) pathobiology and genetics, survival rates remain disappointingly low compared to other types of cancer. This is due to a lack of diagnosis strategies, high recurrence rates, and the development of chemo-resistant diseases, which require synergy between cancer cells and the tumor microenvironment (TME). We have demonstrated the functional importance of a TME gene, periostin (POSTN), in OC and recurrent OC, using in vitro and in vivo models. Our objectives were to identify differentially expressed genes by POSTN expression in the TME that contribute to the progression of ovarian cancers. Procedures: Gene expression data was generated from an ovarian cancer cell line, HEYA8, cultured in a high POSTN conditioned 3D cell culture environment, using the NovaSeq 6000 system to generate RNA-seq data. The data was analyzed to determine the genes expressed at different levels between the HEYA8 cells grown with or without POSTN-high conditioned medium (CM). The gene functional annotation and KEGG pathway enrichment were further analyzed from 10,115 significant differentially expressed genes between the HEYA8 cells grown in high levels of POSTN (CMPOSTNhigh) or low levels of POSTN (CMCTL) culture conditions, using DAVID bioinformatics. Results: Using a cell culture and co-culture model, we found that OC cells cultured under conditioned media containing CMPOSTNhigh exhibited faster cell migration, more invasiveness (p=0.006), more chemo-resistance (p<0.05), and increased resistance to paclitaxel-induced apoptosis, compared to OC cells cultured with control medium (CMCTL). OC cell lines cultured with CMPOSTNhigh showed increased side population cells relative to CMCTL -cultured cells, suggesting POSTN plays important roles in cancer stem cell enrichment. POSTN-transfected 3T3-L1 cells exhibited more intracellular and extracellular lipids and were linked to increased cancer cell expression of the oncogene fatty acid synthetase. In correspondence to the functions of POSTN in OC cells, the pathways identified to be significantly impacted by POSTN expression included, but were not limited to, the cell cycle, apoptosis, p53 signaling, MAPK signaling, and PI3K-Akt signaling pathways. Interestingly, we also found cellular senescence pathways was one of the most significantly impacted by POSTN suggesting that POSTN may play roles in ovarian cancer via the regulation of cellular senescence, which has not yet been explored. Conclusions: These data emphasize the importance of TME factors in tumor progression and prognosis via various ways in ovarian cancer, establishing promising potential therapeutic targets of OC. Citation Format: Jihua Feng, Ethan Nguyen, Jocelyn Reyes, Zhiqing Huang. Periostin involvement in cellular senescence in ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6834.

Abstract 1662: Evaluation of TEAD inhibitor, VT03989 treatment on growth of aggressive meningioma preclinical models

Abstract Background: Aggressive meningiomas (WHO grade II/III) are incurable brain tumors and despite surgery and radiation therapy, tumors recur frequently without approved systemic treatment options. Hence, there is an unmet need for targeted inhibition therapy and biomarkers that predict vulnerability to targeted therapies in aggressive meningioma patients. Hippo signaling pathway has been shown to be dysregulated in meningioma, resulting in activation of its target TEAD as a transcriptional factor. We hypothesize that targeted inhibition of TEAD in recurrent high-grade meningioma with NF2 loss will lead to increased inhibition of tumor growth. Here, we investigated the effect of VT3989, a potent TEAD inhibitor, in meningioma cell lines with NF2 wild-type or NF2 loss genotype. Methods: Two meningioma cell-lines: IOMM-Lee (NF2 wild-type) and MG309, a grade III meningioma patient-derived cell line with NF2 loss were treated with various doses of VT3989 and cell viability was assessed. Relative expression of direct targets of TEAD including CTGF and CYR61 was determined with quantitative PCR (qPCR) to ensure target engagement. Global transcriptomic changes were examined via RNAseq analysis on RNA isolated from MG309 cells treated with VT03989 compared to vehicle treated cells. Results: VT3989 treatment significantly decreased viability of both IOMM-Lee and MG309 cells. Canonical downstream targets of TEAD such as CTGF, CYR61, BIRC5, BCL-2 were downregulated in VT3989 treated cells compared to control. Furthermore, VT03989 treatment resulted in downregulation in cell cycle regulation and DNA damage response (DDR) pathway genes. Ongoing work is focused on combining VT3989 with agents targeting cell cycle and DDR pathways. Conclusion: VT3989 treatment led to downregulation of TEAD direct targets CTGF and CYR61 and inhibited cell viability of both IOMM-Lee cell and MG309 meningioma lines. RNA-seq analysis identified cell cycle and DDR pathway genes to be downregulated upon TEAD inhibition. Citation Format: Siddhi Desai, Anil Thaghalli Shivanna, Mariya Stavnichuk, Elizabeth Hayes, Sonam Patel, James McNamara, Anita DeSantis, Nader Sanai, An-Chi Tien, Shwetal Mehta. Evaluation of TEAD inhibitor, VT03989 treatment on growth of aggressive meningioma preclinical models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1662.

Abstract 7007: 5hmc-sequencing identifies candidate genes in Puerto Rican Hispanic/Latino men with aggressive prostate cancer

Abstract Introduction: Puerto Rican (PR) Hispanic/Latino (H/L) men are an understudied population which has the highest prostate cancer (PCa) specific mortality when compared with other Hispanic populations. According to the recent PR Cancer Registry data, PCa is the leading cancer type in terms of incidence (38% of all cancer cases) and mortality (16% of all cancer deaths) in PR H/L men. PR H/L men also have significantly higher PCa-specific mortality than non-Hispanic Whites (NHW) and non-Hispanic Blacks (NHB). So far, little is known about higher mortality in PR H/L men. It is believed that epigenetic changes of key genes play a critical role in aggressive tumors. Therefore, our study was aimed to identify key 5-hydroxymethylcytosine (5hmC) changes in PR H/L men with aggressive PCa. Methods: We prepared sequencing libraries using the enriched 5hmC DNA from 42 prostate tumor and 44 adjacent normal FFPE samples. We performed sequencing on an Illumina NextSeq 500 with 75bp single end. We used DESeq2 package to identify differentially methylated genes (DMGs). We also downloaded additional 5hmC data (Database: EGAS00001004942) of 51 localized PCa and 7 adjacent normal for confirmation analysis. We used Gleason score (GS) as a cut-off to identify DMGs in aggressive PCa patients (GS- 7 (3+4) or less, Non-aggressive; GS- 7 (4+3) and above, Aggressive). Results: We identified 808 DMGs in tumors compared to adjacent normal tissues (FDR<0.05, log2FC>|0.4|). Pathway analysis of DMGs demonstrated that cell-cycle, cell division, and DNA repair related pathways were most upregulated in tumors. Since 5hmC abundance is highly correlated with gene expression levels, we further investigated 808 DMGs with TCGA prostate cancer gene expression data. This analysis identified 59/73 DMGs (80.1%, (FDR<0.05, delta>|1|) with significant 5hmC and gene expression changes in the same direction. We also performed differential methylation analysis in another dataset and observed that 129 DMGs were common with our results. Finally, we demonstrated 111 DMGs (p<0.05) in aggressive tumors (n=7) compared to non-aggressive tumors (n=15). These 111 DMGs include important 5hmC hypomethylated genes (BCCIP and KLK10) and hypermethylated genes (COX6C, ARMC2, PVT1) in aggressive PCa patients. Conclusions: Our study identifies 59 genes having coordinated epigenetic and transcriptomic changes in PR H/L men and 111 DMGs in aggressive tumors. The coordinated 59 genes include tumor suppressor genes such as DKK3 and PRDM8 with downregulated 5hmC and gene expression levels. Also, previous studies reported downregulation of BCCIP and KLK10 and upregulation of COX6C, ARMC2, PVT1 expression in PCa. The coordinated changes in 5hmC could be critical in aggressive PCa biology, hence in future, these genes will be validated as candidate biomarkers and targets for aggressive PCa among PR H/L men. Citation Format: Manishkumar S. Patel, Muosa Almubarak, Jaime Matta, Carmen Ortiz-Sánchez, Jarline Encarnacion, Gilberto Ruiz-Deya, Julie Dutil, Jasreman Dhillon, Kosj Yamoah, Anders Berglund, Hyun Park, Liang Wang, Jong Y. Park. 5hmc-sequencing identifies candidate genes in Puerto Rican Hispanic/Latino men with aggressive prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7007.

Abstract 3223: Embryonic ectoderm development (EED) inhibitor APG-5918 (EEDi-5273) and MDM2 inhibitor alrizomadlin (APG-115) synergistically inhibit tumor growth in preclinical models of prostate cancer (PCa)

Abstract Advanced PCa, especially castration-resistant PCa, represents an urgent unmet treatment need. Dysregulation of the polycomb repressive complex 2 (PRC2), which mediates trimethylation of histone H3 at lysine 27 (H3K27me3) and leads to gene silencing, is common in PCa and correlates with poor prognosis. EED, a core PRC2 component, is crucial for histone methyltransferase activity. MDM2, a negative regulator of p53, is often amplified or overexpressed in PCa and associated with metastasis and poor clinical outcomes. We evaluated antitumor activity and molecular mechanisms of EED inhibitor APG-5918/EEDi-5273 and MDM2 selective inhibitor alrizomadlin in preclinical PCa models. Human castration-resistant (22Rv1) and androgen-dependent (LNCaP) PCa cell lines were used in antiproliferation assays. Cell viability was determined by CellTiter-Glo luminescent assays. Western blotting was used to explore mechanisms of action. Subcutaneous 22Rv1 and LNCaP cell line-derived xenograft (CDX) models were established to evaluate antitumor effects of APG-5918 and alrizomadlin in vivo. Single-agent APG-5918 or alrizomadlin had limited inhibition on PCa cell growth; combined, they demonstrated synergistic antitumor activity. In the 22Rv1 CDX model, single-agent alrizomadlin (100 mg/kg) or APG-5918 (100 mg/kg) administered for 26 days exerted no/limited antitumor activity, with treatment-to-control (T/C) values of 93.39% and 49.89%, respectively. In contrast, the doublet enhanced antitumor activity (T/C value, 33.22%), with a synergistic index of 1.40. In the LNCaP CDX model, APG-5918 (100 mg/kg) administered for 28 days exhibited minimal antitumor effects (T/C value on last day of dosing, 80.32%). Alrizomadlin (100 or 50 mg/kg) showed limited antitumor activity (T/C value, 47.61%). Combined treatment significantly enhanced antitumor activity (T/C value, 15.69%), with a synergistic index of 2.44. Regarding putative mechanisms, western blot analyses showed that APG-5918 downregulated oncogenic drivers and DNA methylation factors (UHRF1, DNMT1) and on-target-related pharmacodynamic markers (H3K27me3, EED, EZH2). Alrizomadlin markedly downregulated UHRF1 and DNMT1, and upregulated p53 and p21 expression. Combined treatment further enhanced downregulation of DNMT1, UHRF1, cell cycle pathway proteins (pRb, CDK6), antiapoptotic protein MCL-1, and synergistically increased cleavage of PARP-1, a marker of apoptosis. In summary, we show that targeting EED and MDM2 synergistically enhances antitumor activity in PCa cell lines and CDX models. Mechanistically, this combination likely modulated pathways related to DNA methylation, cell cycle, and apoptosis. The findings provide a scientific rationale for future clinical development of APG-5918 and alrizomadlin for PCa patients. Citation Format: Yan Yin, Yun Yang, Eric Liang, Baisong Li, Hengbang Wang, Dajun Yang, Yifan Zhai. Embryonic ectoderm development (EED) inhibitor APG-5918 (EEDi-5273) and MDM2 inhibitor alrizomadlin (APG-115) synergistically inhibit tumor growth in preclinical models of prostate cancer (PCa) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3223.

Abstract 1389: Understanding the differential role of an IL-6 family cytokine in varying subtypes of breast cancer patients for novel therapeutic intervention

Abstract In the United States, it is estimated that over 295,000 women will be diagnosed with breast cancer, and over 43,000 breast cancer deaths in 2023. Mortality in breast cancer is due in large part due to distant metastasis to organs such as the bone, lung, liver, and brain. Our laboratory has identified that the IL-6-family cytokine oncostatin M (OSM) plays a crucial role in initiating metastasis by secreting pro-metastatic molecules such as VEGF, LOXL2 and IL-6, and increasing circulating tumor cell numbers and metastases to bone and lung in vivo. More recent work within our lab has identified unique roles for OSM in varying subtypes of breast cancer patients, particularly between estrogen receptor positive (ER+) and ER- patients. It is well known that patients with ER- breast cancer, specifically triple negative breast cancer (TNBC; ER- PR- HER2-), have limited therapeutic options. However, the divergent role OSM plays in ER+ and ER- breast cancer and the mechanism by which this occurs has yet to be fully understood. Thus, we aimed to fully elucidate the difference between OSM in ER+ versus ER- breast cancer. RNA sequencing analysis on OSM-treated human ER+ cells and ER- TNBC cells discovered significant differences in gene expression between both cell lines upon treatment with OSM, including alteration in DNA-replication and cell cycle pathway genes. Afterwards to evaluate the correlation between OSM and DNA synthesis and this role on metastasis, we evaluated the role of a novel anti-OSM therapeutic and its correlation with decreased metastasis. This research aims to elucidate the unique role OSM plays in ER+ and ER- breast cancer and will provide a molecular understanding of how this occurs and will provide detailed information on which patients will benefit most from anti-OSM therapeutics. Citation Format: Cody L. Wolf, Ken Tawara, Cheryl L. Jorcyk. Understanding the differential role of an IL-6 family cytokine in varying subtypes of breast cancer patients for novel therapeutic intervention [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1389.

Abstract 5496: Multi-omic spatial analysis of the tumor microenvironment in gliomas

Abstract Introduction: The diverse tumor environment of high-grade glioma, which remains refractory to treatment, demands new innovative, multi-omic approaches to characterize tumor heterogeneity and expression profiles associated with progression and therapeutic response. Approach: We have applied an integrated, multi-omic approach using paired spatial in situ sequencing (Xenium) and protein profiling (PhenoCycler® Fusion) of glioma tissue to identify distinct glioma cellular phenotypes, activation states and metabolic pathways at true single cell resolution. Our multi-omic approach used hundreds of phenotypic RNA target probes and >50 antibodies in an unbiased single-cell analysis of primary, recurrent, and IDH1 mutant/wild type tumors with a range of heterogeneity. Summary: We were able to distinguish differentially regulated genes and pathways between aggregated primary and recurrent GBM, including cell cycle pathways being upregulated in primary vs recurrent GBM glial cell clusters and a down regulation of ERBB4 signaling in vascular cell clusters in primary GBMs. Our data also suggests that SOX11, known to be involved in tumorigenesis, is >2-fold upregulated in annotated tumor cells in primary compared to recurrent tumors. We were also able to quantitatively localize the expression of Epidermal Growth Factor Receptor, variant III (EGFRvIII) to specific tumor-cell sub-types, which is important given its association with therapeutic resistance. Further, we have been able to establish the cellular neighborhoods and cell-cell and receptor-ligand relationships within the tumors. Our spatial protein analysis identified distinct tumor and immune phenotypes with varying abundance of myeloid and lymphoid populations in IDH1 wt and mt tumors. Moreover, spatial proximity analyses and cellular neighborhood analyses revealed differences in higher order organizational landscapes that may contribute to the differential outcomes across wt and mt tumor subtypes. Conclusion: Multiomic spatial analysis enables deeper characterization of the glioma cellular and functional landscape to broaden our understanding of the key TME features that contribute to disease pathogenesis and prognoses. Our study provides an analytical framework to combine RNA and protein-based spatial data for a holistic investigation into a variety of glioma subtypes and aid in the identification of novel biomarkers, spatial neighborhoods, and functional states that drive glioma progression. Citation Format: Dmytro Klymyshyn, Vaibhav Jain, Lauren Whaley, Emily Hocke, Bassem Ben Cheikh, Alan Smith, Karen Abramson, Nadine Nelson, Diane Satterfield, Elizabeth Thomas, Giselle Lopez, Seetha Hariharan, Michael Brown, Niyati Jhaveri, Roger McLendon, David Ashley, Matthew Waitkus, Simon Gregory. Multi-omic spatial analysis of the tumor microenvironment in gliomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5496.

Abstract 6466: Multi-omics analysis of molecular characteristics and transformation mechanisms of stage I-III micropapillary lung adenocarcinoma

Abstract Background: The micropapillary pattern (MIP) is recognized as a high-grade histological subtype in lung adenocarcinoma (LUAD), with its presence often indicative of a poorer prognosis. Despite distinctive molecular characteristics of MIP, there is a research gap regarding the molecular mechanisms underlying micropapillary transformation and prognosis factors for micropapillary LUAD. Methods: Surgically resected tumor samples from 101 patients with stage I-III LUAD and MIP components exceeding 30% were collected. The tumor samples were microdissected to separate MIP components from non-MIP components, and both fractions underwent RNA and DNA whole-exome sequencing (WES). The molecular profiles between MIP and non-MIP components, along with MIP-naïve LUAD tissues from an external cohort, were compared. Associations between molecular characteristics and recurrence-free survival were also assessed. Results: The genomic landscapes of MIP and non-MIP components within tumor tissues featuring MIP patterns exhibited remarkable similarity. At the transcriptomic level, MIP components displayed elevated PRB4 expression (FDR < 0.001), an up-regulated cell cycle pathway (P = 0.004), and reduced natural killer cell-mediated cytotoxicity (P = 0.066). Nevertheless, in comparison to MIP-naïve LUAD tissues, the MIP components showed higher chromosomal instability (P < 0.001) and revealed eighteen enriched somatic alterations, encompassing EGFR mutations, EGFR amplifications, and CDKN2A/CDKN2B deletions, all linked to up-regulations in cell proliferation pathways and down-regulated immune pathways. In the context of MIP transformation, shared mutations were observed in 97.8% (91/93) of patients between MIP and non-MIP components within the same tissues, suggesting a common origin. The subclonal fractions were comparable between paired MIP and non-MIP components, while a significant co-occurrence of EGFR amplification, CDKN2A deletion, and CDKN2B deletion was identified in MIP components. A comprehensive analysis combining differential gene expression and Cox analysis, employing a both-direction stepwise Akaike Information Criteria selection, identified the high expressions of five genes (GALNT4, MIAT, FOSL1, LAT2, SMN2) as adverse factors associated with the recurrence of micropapillary LUAD. Conclusions: We conducted an in-depth analysis of the molecular characteristics and transformation mechanisms of micropapillary lung adenocarcinoma, employing microdissection techniques to investigate at both genomic and transcriptomic levels within a substantial cohort, providing insights for the precision medicine of this aggressive cancer subtype. Citation Format: Kang Shao, Shugeng Gao, Fengwei Tan, Anqi Shao, Xiaoli Feng, Qi Xue, Yang Qu, Bo Zheng, Wei Zheng, Hanlin Chen, Qiuxiang Ou, Haimeng Tang. Multi-omics analysis of molecular characteristics and transformation mechanisms of stage I-III micropapillary lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6466.

Abstract 1878: CTPS1: An unexplored vulnerability in breast and ovarian cancer

Abstract Breast and ovarian cancer represent the most common cancer types in women worldwide and are among the top fatal cancers. Despite the use of cytotoxic chemotherapy and targeted agents, recurrence is frequent and survival rates for patients with advanced metastatic disease are dismal. These realities highlight the need to identify novel biomarkers and therapeutic vulnerabilities in such tumors and to develop alternative treatment strategies. We took an unbiased approach to tackle this problem in which we leveraged publically available (DepMap) and in-house generated genome-wide CRISPR screens conducted in over 1000 cancer cell lines. We initially focused on the identification of essential genes that were unique to triple-negative breast cancer (TNBC) cells and whose expression levels were associated with worse patient outcomes. This interrogation revealed six genes (CTPS1, RHOA, PRKRA, RAD9A, HUS1, and RAD1) meeting these initial criteria. The essentiality of these genes was validated using gene-specific siRNAs in a panel of TNBC cells and knockdown of CTPS1 was shown to elicit the most inhibitory effect. CTPS1 depletion resulted in a rapid S-phase cell cycle arrest followed by apoptosis, not only in TNBC cells but also in highly aggressive ovarian cancer cells which share many molecular features with TNBC. CTPS1 converts uridine triphosphate to cytidine triphosphate, forming an essential nucleic acid required for multiple cellular processes. CTPS1 mRNA expression was substantially elevated in tumor vs. normal tissue, for both breast and ovarian cancer. Using over 40 breast and ovarian cancer cell lines, RT-PCR analyses confirmed increased expression of CTPS1 in TNBC and most ovarian cancer cell lines compared to other disease sub-types and “normal” cell line/tissue controls. Interestingly, chemoresistant and PARP inhibitor-resistant models exhibited the highest levels of CTPS1 among all cells analyzed. We subsequently identified and acquired STP938, a first-in-class highly selective CTPS1 inhibitor being developed by Step-Pharma. STP938 was found to elicit potent anti-cancer effects at nM concentrations across many cell line and patient-derived models, in both 2D and 3D culture systems. RNAseq analysis in aggressive cell line models following STP938 treatment or CTPS1 knockdown revealed significant regulation of genes related to DNA replication and the cell cycle pathways suggesting that combinatorial/sequential treatments of STP938 with replication stress/DNA damage response related drugs may be synergistic. STP938 is currently being developed for the treatment of lymphoma, and our findings support the repurposing of STP938 for breast and ovarian cancer, an avenue that we are currently developing. Citation Format: Xiyin Wang, Michael Emch, Lauren Voll, Rebecca Russell, Esther Rodman, Nicole Pearson, Xiaonan Hou, Scott Kaufmann, Saravut Weroha, Philip Beer, John Hawse. CTPS1: An unexplored vulnerability in breast and ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1878.

Abstract 1440: Retinoblastoma binding protein 9 regulates intestinal inflammation and inflammation-associated carcinogenesis

Abstract The intestinal epithelium constitutes the mucosal barrier, and its dysfunction promotes microbial invasion from the gut lumen, which further induces the intestinal inflammation. Chronic intestinal inflammation, as observed in poorly controlled inflammatory bowel diseases (IBD), leads to the development of inflammation-associated cancer. Thus, a deeper understanding of the regulatory system that controls intestinal homeostasis is essential. Retinoblastoma-binding protein 9 (RBBP9) is expressed in a range of human cancer cells. RBBP9 was initially reported to have the ability to regulate the cell cycle pathway. More recent studies have identified RBBP9 as a serine hydrolase (SH) that promotes cancer progression by subverting the anti-proliferative function of TGFβ in a pancreatic cancer model. However, little is known about the roles RBBP9 plays in the development of intestinal cancer. In this study, we investigated the role of RBBP9 in inflammation and inflammation-associated cancer in the intestine. Analyses of surgically resected human samples and publicly available datasets demonstrated that RBBP9 expression was reduced in patient samples of ulcerative colitis (UC) and colitis-associated cancer (CAC). Genetically knockout mice for Rbbp9 (Rbbp9−/−) were susceptible to experimental colitis induced by dextran sulfate sodium (DSS). Furthermore, Rbbp9−/− mice exhibited enhanced azoxymethane/DSS-induced tumorigenesis, a model for human CAC. Mechanistically, RNA sequencing of these tumors showed increased enrichment of inflammation-associated signatures, including interferon signaling pathways. Ex vivo organoid experiments revealed the suppressive function of RBBP9 in interferon signaling-mediated apoptosis of the intestinal epithelium. Simultaneous inhibition of RBBP9 and STAT1, a downstream transcription factor of interferon signaling, reverted the apoptotic phenotype of Rbbp9−/− organoids. Collectively, our data provide insight into the understanding of the crucial role of RBBP9 in protecting against intestinal inflammation and inflammation-related tumorigenesis via regulating the interferon signaling-mediated apoptotic pathway. Citation Format: Yuki Nakanishi, Kensuke Hamada, Mayuki Omatsu, Kosuke Iwane, Hiroki Kitamoto, Maokoto Okabe, Yu Muta, Shuji Yamamoto, Akihisa Fukuda, Hiroaki Kasashima, Hiroshi Seno. Retinoblastoma binding protein 9 regulates intestinal inflammation and inflammation-associated carcinogenesis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1440.

Retinoblastoma-associated protein is important for TRIM24-mediated activation of the mTOR signaling pathway through DUSP2 action in prostate cancer.

RB transcriptional corepressor 1 (RB) deletion is the most important genomic factor associated with the prognosis of castration-resistant prostate cancer (CRPC) patients receiving androgen receptor (AR) signaling inhibitor therapy. Loss of RB could support prostate cancer cell growth in a hormone-independent manner, but the underlying mechanism by which RB regulates tumor progression extends far beyond the cell cycle pathway. A previous study indicated that RB inactivates AKT signaling but has no effect on mTOR signaling in cancer cells. Here, we found that the S249/T252 site in RB is key to regulating the transcriptional activity of the tumor-promoting factor TRIM24 in CRPC, as identified through FXXXV mapping. The RB/TRIM24 complex functions through DUSP2, which serves as an intermediate bridge, to activate the mTOR pathway and promote prostate cancer progression. Accordingly, we designed RB-linker-proteolysis-targeting chimera (PROTAC) molecules, which decreased TRIM24 protein levels and inactivated the mTOR signaling pathway, thereby inhibiting prostate cancer. Therefore, this study not only elucidates the novel function of RB but also provides a theoretical basis for the development of new drugs for treating prostate cancer.

The immune regulation and therapeutic potential of the SMAD gene family in breast cancer

Breast cancer is a serious threat to human health. The transforming growth factor-β signaling pathway is an important pathway involved in the occurrence and development of cancer. The SMAD family genes are responsible for the TGF-β signaling pathway. However, the mechanism by which genes of the SMAD family are involved in breast cancer is still unclear. Therefore, it is necessary to investigate the biological roles of the SMAD family genes in breast cancer. We downloaded the gene expression data, gene mutation data, and clinical pathological data of breast cancer patients from the UCSC Xena database. We used the Wilcox test to estimate the expression of genes of the SMAD family in cancers. And the biological functions of SMAD family genes using the DAVID website. The Pearson correlation method was used to explore the immune cell infiltration and drug response of SMAD family genes. We conducted in biological experiments vitro and vivo. In this study, we integrated the multi-omics data from TCGA breast cancer patients for analysis. The expression of genes of SMAD family was significantly dysregulated in patients with breast cancer. Except for SMAD6, the expression of other SMAD family genes was positively correlated. We also found that genes of the SMAD family were significantly enriched in the TGF-β signaling pathway, Hippo signaling pathway, cell cycle, and cancer-related pathways. In addition, SMAD3, SMAD6, and SMAD7 were lowly expressed in stage II breast cancer, while SMAD4 and SMAD2 were lowly expressed in stage III cancer. Furthermore, the expression of genes of the SMAD family was significantly correlated with immune cell infiltration scores. Constructing a xenograft tumor mouse model, we found that SMAD3 knockdown significantly inhibited tumorigenesis. Finally, we analyzed the association between these genes and the IC50 value of drugs. Interestingly, patients with high expression of SMAD3 exhibited significant resistance to dasatinib and staurosporine, while high sensitivity to tamoxifen and auranofin. In addition, SMAD3 knockdown promoted the apoptosis of BT-549 cells and decreased cell activity, and BAY-1161909 and XK-469 increased drug efficacy. In conclusion, genes of the SMAD family play a crucial role in the development of breast cancer.

RNA-binding proteins potentially regulate the alternative splicing of cell cycle-associated genes in proliferative diabetic retinopathy

RNA-binding proteins (RBPs) contribute to the pathogenesis of proliferative diabetic retinopathy (PDR) by regulating gene expression through alternative splicing events (ASEs). However, the RBPs differentially expressed in PDR and the underlying mechanisms remain unclear. Thus, this study aimed to identify the differentially expressed genes in the neovascular membranes (NVM) and retinas of patients with PDR. The public transcriptome dataset GSE102485 was downloaded from the Gene Expression Omnibus database, and samples of PDR and normal retinas were analyzed. A mouse model of oxygen-induced retinopathy was used to confirm the results. The top 20 RBPs were screened for co-expression with alternative splicing genes (ASGs). A total of 403 RBPs were abnormally expressed in the NVM and retina samples. Functional analysis demonstrated that the ASGs were enriched in cell cycle pathways. Cell cycle-associated ASEs and an RBP–AS regulatory network, including 15 RBPs and their regulated ASGs, were extracted. Splicing factor proline/glutamine rich (SFPQ), microtubule-associated protein 1 B (MAP1B), heat-shock protein 90-alpha (HSP90AA1), microtubule-actin crosslinking factor 1 (MACF1), and CyclinH (CCNH) expression remarkably differed in the mouse model. This study provides novel insights into the RBP–AS interaction network in PDR and for developing screening and treatment options to prevent diabetic retinopathy-related blindness.

The TLK-ASF1 histone chaperone pathway plays a critical role in IL-1β–mediated AML progression

AbstractIdentifying and targeting microenvironment-driven pathways that are active across acute myeloid leukemia (AML) genetic subtypes should allow the development of more broadly effective therapies. The proinflammatory cytokine interleukin-1β (IL-1β) is abundant in the AML microenvironment and promotes leukemic growth. Through RNA-sequencing analysis, we identify that IL-1β–upregulated ASF1B (antisilencing function-1B), a histone chaperone, in AML progenitors compared with healthy progenitors. ASF1B, along with its paralogous protein ASF1A, recruits H3-H4 histones onto the replication fork during S-phase, a process regulated by Tousled-like kinase 1 and 2 (TLKs). Although ASF1s and TLKs are known to be overexpressed in multiple solid tumors and associated with poor prognosis, their functional roles in hematopoiesis and inflammation-driven leukemia remain unexplored. In this study, we identify that ASF1s and TLKs are overexpressed in multiple genetic subtypes of AML. We demonstrate that depletion of ASF1s significantly reduces leukemic cell growth in both in vitro and in vivo models using human cells. Using a murine model, we show that overexpression of ASF1B accelerates leukemia progression. Moreover, Asf1b or Tlk2 deletion delayed leukemia progression, whereas these proteins are dispensable for normal hematopoiesis. Through proteomics and phosphoproteomics analyses, we uncover that the TLK-ASF1 pathway promotes leukemogenesis by affecting the cell cycle and DNA damage pathways. Collectively, our findings identify the TLK1-ASF1 pathway as a novel mediator of inflammatory signaling and a promising therapeutic target for AML treatment across diverse genetic subtypes. Selective inhibition of this pathway offers potential opportunities to intervene effectively, address intratumoral heterogeneity, and ultimately improve clinical outcomes in AML.

Comparative Analysis of the Growth, Physiological Responses, and Gene Expression of Chinese Soft-Shelled Turtles Cultured in Different Modes.

The Chinese soft-shelled turtle (Pelodiscus sinensis) is an important freshwater aquaculture turtle due to its taste and nutritional and medicinal value. More ecological culturing modes, such as rice-turtle co-culture, should be developed to meet the ecological benefit demand. We compared growth, physiological parameters, and transcriptome data to detect the physiological responses and regulatory mechanisms of pond-cultured turtles as compared to co-cultured turtles. The co-cultured turtles grew slower than pond-cultured turtles. The gonadosomatic index of co-cultured male turtles was lower than that of pond-cultured male turtles, and both the mesenteric fat index and limb fat index were lower in co-cultured turtles than in pond-cultured turtles (p < 0.05). The blood GLU of the co-cultured turtles was significantly lower than the GLU of the pond-cultured turtles (p < 0.05), while the values of CRE, UA, BUN, AKP, ACP, GOT, and CAT were higher in the co-cultured turtles than in the pond-cultured turtles (p < 0.05). In total, 246 and 598 differentially expressed genes (DEGs) were identified in the brain and gut from turtles cultured in the two different modes, respectively. More DEGs were related to environmental information processing, metabolism, and human diseases. In the brain, the top enriched pathways of DEGs included the longevity regulating pathway, glycerolipid metabolism, cytokine-cytokine receptor interaction, Toll-like receptor signaling pathway, and PI3K-Akt signaling pathway, while in the gut, the top enriched pathways of DEGs included the cell cycle, DNA replication, cellular senescence, and p53 signaling pathway. The turtles acclimated to the different culturing conditions by adjusting their growth, physiological, and biochemical characteristics and related gene expression during a short culture period.

Establishment of Golgi apparatus-related genes signature to predict the prognosis and immunotherapy response in gastric cancer patients.

The Golgi apparatus plays a crucial role in intracellular protein transportation, processing, and sorting. Dysfunctions of the Golgi apparatus have been implicated in tumorigenesis and drug resistance. This study aimed to investigate the prognostic and treatment response assessment value of Golgi apparatus-related gene (GARGs) features in gastric cancer patients. Transcriptome data and clinical information of gastric cancer patients were obtained from The Cancer Genome Atlas and Gene Expression Omnibus databases. Cox regression analysis was employed to assess the prognostic significance of GARGs and construct risk features. The immune landscape, drug sensitivity, immune therapy response, gene expression patterns, and somatic mutation characteristics were analyzed between different risk groups. A nomogram model for predicting gastric cancer prognosis was developed and evaluated. Among 1643 GARGs examined, 365 showed significant associations with gastric cancer prognosis. Five independent prognostic GARGs (NGF, ABCG1, CHAC1, GBA2, PCSK7) were selected to construct risk features for gastric cancer patients. These risk features effectively stratified patients into high-risk and low-risk groups, with the former exhibiting worse prognosis than the latter. Patients in the high-risk group displayed higher levels of immune cell infiltration, while the expression levels of NGF, CHAC1, GBA2, PCSK7 were significantly correlated with immune cell infiltration. Notably, the low-risk group exhibited higher sensitivity to epothilone.B, metformin, and tipifarnib compared to the high-risk group. Moreover, patients in the low-risk group demonstrated greater responsiveness to immune therapy than those in the high-risk group. In terms of biological processes and KEGG pathways related to immunity regulation, significant suppression was observed in the high-risk group compared to the low-risk group; meanwhile cell cycle pathways exhibited significant activation in the high-risk group. Furthermore, the low-risk group exhibited a higher tumor mutation burden compared to the high-risk group. The risk features derived from GARGs, in conjunction with age, were identified as independent risk factors for gastric cancer. The nomogram incorporating these factors demonstrated improved performance in predicting gastric cancer prognosis. Our study established risk features derived from GARGs that hold potential clinical utility in prognostic assessment and immune therapy response evaluation of gastric cancer patients.

Integrative analysis of homologous recombination repair patterns unveils prognostic signatures and immunotherapeutic insights in breast cancer.

Globally, breast cancer (BC) is the leading cause of female death and morbidity. Homologous recombination repair (HRR) is critical in BC. However, the prognostic role and immunotherapy response of HRR in BC remains to be clarified. Firstly, we identified HRR types in BC samples from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) dataset (GSE42568) based on 65 HRR genes (HRRGs). A differentially expressed gene (DEG) list for different HRR types was generated. Then, the influences of gene sets composed of these DEGs on biological pathways and BC prognosis were explored. Next, we identified gene clusters based on gene sets composed of DEGs. Genes associated with prognosis for DEGs were identified using univariate Cox regression. Finally, the HRR score was constructed based on genes associated with prognosis. We analyzed how HRR score correlates with tumor mutation burden (TMB), immune cell infiltration (ICI), and immunotherapy response. Three HRR clusters were discovered. HRR subtype A demonstrated decreased infiltration and a high number of immunosuppressive cells with a poor prognosis. DEGs among various HRR types were predominantly enriched in cell cycle and genomic stability-related pathways. The prognostic model based on sixteen DEGs accurately predicted BC prognosis. The HRRGs were differentially expressed in three DEG clusters. TMB, ICI, and immunotherapy responses differed significantly between the high and low HRR groups (HSG, LSG). The HSG was distinguished by a high degree of ICI and low TMB. LSG had a better response to anti-PD-1 or anti-PD-1 and anti-CTLA4 combination therapy. This work revealed that HRR patterns would contribute to predicting prognosis and immunotherapy response in BC, which may benefit patients.