Background: Most strokes and cardiovascular diseases (CVDs) are potentially preventable if their risk factors are identified and well controlled. Digital platforms, such as the PreventS-MD web app (PreventS-MD) may aid health care professionals (HCPs) in assessing and managing risk factors and promoting lifestyle changes for their patients. Methods: This is a mixed-methods cross-sectional two-phase survey using a largely positivist (quantitative and qualitative) framework. During Phase 1, a prototype of PreventS-MD was tested internationally by 59 of 69 consenting HCPs of different backgrounds, age, sex, working experience, and specialties using hypothetical data. Collected comments/suggestions from the study HCPs in Phase 1 were reviewed and implemented. In Phase 2, a near-final version of PreventS-MD was developed and tested by 58 of 72 consenting HCPs using both hypothetical and real patient (n = 10) data. Qualitative semi-structured interviews with real patients (n = 10) were conducted, and 1 month adherence to the preventive recommendations was assessed by self-reporting. The four System Usability Scale (SUS) groups of scores (0–50 unacceptable; 51–68 poor; 68–80.3 good; >80.3 excellent) were used to determine usability of PreventS-MD. Findings: Ninety-nine HCPs from 27 countries (45% from low- to middle-income countries) participated in the study, and out of them, 10 HCPs were involved in the development of PreventS before the study, and therefore were not involved in the survey. Of the remaining 89 HCPs, 69 consented to the first phase of the survey, and 59 of them completed the first phase of the survey (response rate 86%), and 58 completed the second phase of the survey (response rate 84%). The SUS scores supported good usability of the prototype (mean score = 80.2; 95% CI [77.0–84.0]) and excellent usability of the final version of PreventS-MD (mean score = 81.7; 95% CI [79.1–84.3]) in the field. Scores were not affected by the age, sex, working experience, or specialty of the HCPs. One-month follow-up of the patients confirmed the high level of satisfaction/acceptability of PreventS-MD and (100%) adherence to the recommendations. Interpretation: The PreventS-MD web app has a high level of usability, feasibility, and satisfaction by HCPs and individuals at risk of stroke/CVD. Individuals at risk of stroke/CVD demonstrated a high level of confidence and motivation in following and adhering to preventive recommendations generated by PreventS-MD.
Seronegative Atypical Anti-Glomerular Basement Membrane Glomerulonephritis Associated With Thrombotic Microangiopathy: Case Report and Literature Analysis
Anti-glomerular basement membrane (GBM) antibody nephritis is defined by linear immunofluorescence staining of GBM by immunoglobulin G (IgG), typically associated with GBM rupture, fibrinoid necrosis, and crescent formation. Clinically, the patients present with rapidly worsening renal function, often with hematuria. Typical renal pathologic findings include necrotizing and crescentic glomerulonephritis. In contrast, thrombotic microangiopathy (TMA) is characterized by microvascular thrombosis, which can also lead to acute kidney injury. Thrombotic microangiopathy is associated with some systemic diseases and has characteristic clinical features of microangiopathic hemolytic anemia, platelet consumption, and multiple organ failure. Anti-GBM nephritis associated with TMA has rarely been reported. We describe an unusual case of atypical anti-GBM disease without crescent formation or necrosis but with light microscopic and ultrastructural features consistent with endothelial cell injury and glomerular-limited TMA.
Immunogenetics of lithium response and psychiatric phenotypes in patients with bipolar disorder
Abstract The link between bipolar disorder (BP) and immune dysfunction remains controversial. While epidemiological studies have long suggested an association, recent research has found only limited evidence of such a relationship. To clarify this, we investigated the contributions of immune-relevant genetic factors to the response to lithium (Li) treatment and the clinical presentation of BP. First, we assessed the association of a large collection of immune-related genes (4,925) with Li response, defined by the Retrospective Assessment of the Lithium Response Phenotype Scale (Alda scale), and clinical characteristics in patients with BP from the International Consortium on Lithium Genetics (ConLi+Gen, N = 2,374). Second, we calculated here previously published polygenic scores (PGSs) for immune-related traits and evaluated their associations with Li response and clinical features. We found several genes associated with Li response at p < 1x10− 4 values, including HAS3, CNTNAP5 and NFIB. Network and functional enrichment analyses uncovered an overrepresentation of pathways involved in cell adhesion and intercellular communication, which appear to converge on the well-known Li-induced inhibition of GSK-3β. We also found various genes associated with BP’s age-at-onset, number of mood episodes, and presence of psychosis, substance abuse and/or suicidal ideation at the exploratory threshold. These included RTN4, XKR4, NRXN1, NRG1/3 and GRK5. Additionally, PGS analyses suggested serum FAS, ECP, TRANCE and cytokine ligands, amongst others, might represent potential circulating biomarkers of Li response and clinical presentation. Taken together, our results support the notion of a relatively weak association between immunity and clinically relevant features of BP at the genetic level.
Syk-dependent alternative homologous recombination activation promotes cancer resistance to DNA targeted therapy
Abstract Enhanced DNA repair is an important mechanism of inherent and acquired resistance to DNA targeted therapies, including poly ADP ribose polymerase inhibition. Spleen associated tyrosine kinase (Syk) is a non-receptor tyrosine kinase known to regulate immune cell function, cell adhesion, and vascular development. Here, we report that Syk can be expressed in high grade serous ovarian cancer and triple negative breast cancers and promotes DNA double strand break resection, homologous recombination (HR) and therapeutic resistance. We found that Syk is activated by ATM following DNA damage and is recruited to DNA double strand breaks by NBS1. Once at the break site, Syk phosphorylates CtIP, a key mediator of resection and HR, at Thr-847 to promote repair activity, specifically in Syk expressing cancer cells. Syk inhibition or genetic deletion abolished CtIP Thr-847 phosphorylation and overcame the resistant phenotype. Collectively, our findings suggest that Syk drives therapeutic resistance by promoting DNA resection and HR through a novel ATM-Syk-CtIP pathway, and that Syk is a new tumor-specific target to sensitize Syk-expressing tumors to PARPi and other DNA targeted therapy.
Single cell multiomic profiling of high-grade serous carcinoma.
e17535 Background: High-grade serous ovarian carcinoma (HGSOC) is the most frequent and deadliest type of ovarian cancer (OC). With the recent advances in transcriptomic and epigenomic profiling of cancer at single cell resolution, it has become clear that intra-tumor heterogeneity driven by genetic and epigenetic factors may be the basis of drug resistance. Current treatments are not homogeneously effective against all the cancer cell subpopulations, thus enabling resistance. With single cell sequencing technology, characterization of cell signatures and regulatory mechanisms may translate to prognostic markers and novel drug targets. Methods: The transcriptomic and epigenomic landscape of HGSOC was mapped for five tumor samples from debulking surgeries and one tissue patient-derived xenograft (PDX) using the 10X genomics sequencing platform. This strategy permits the combination of single cell ATAC-seq and single cell RNA-seq within the same nucleus (Multiome). Isolation of nuclei, library preparation and sequencing were performed following 10X genomics protocols. Sample quality and library quality were assessed by nuclear morphology and fragment size analysis, respectively. Sequenced reads were mapped to the human genome and downstream analysis including copy number variant prediction, pathway enrichment, motif enrichment and gene regulatory network analysis were performed. The sampled patients continue to be followed for clinical outcomes, such as response to therapy. Clinical data including patient age, grade, and stage of cancer, debulking status, CA-125 levels, and neoadjuvant status, were used in conjunction with the genomics data to characterize patient specific molecular regulatory signatures. Results: Cells from the six samples (total N= 26,421) were projected via UMAP. Immune and stromal cells were shown to cluster by cell-type while cancer cells clustered by patient. Cancer cells were identified as cycling cells, ciliated cells, cells with enrichment of the JAK-STAT signaling pathway, and cells exhibiting cancer stemness signatures. Transcription factor motifs and binding-site enrichment in open chromatin regions reveal transcription regulation-based subpopulations. Using the combined gene expression and open chromatin information from these cells, there is potential to uncover the genetic regulatory network(s) that drives treatment resistance. Conclusions: With single cell technology, specific clusters of cancer and tumor microenvironment cells can be classified. Beyond characterizing patient specific signatures, multiome enables the discovery of genomic, transcriptomic and epigenomic signatures that provide insight in tumor progression and treatment resistance.
Alpha‐synuclein‐associated changes in PINK1‐PRKN‐mediated mitophagy are disease context dependent
Abstract Alpha‐synuclein (αsyn) aggregates are pathological features of several neurodegenerative conditions including Parkinson disease (PD), dementia with Lewy bodies, and multiple system atrophy (MSA). Accumulating evidence suggests that mitochondrial dysfunction and impairments of the autophagic‐lysosomal system can contribute to the deposition of αsyn, which in turn may interfere with health and function of these organelles in a potentially vicious cycle. Here we investigated a potential convergence of αsyn with the PINK1‐PRKN‐mediated mitochondrial autophagy pathway in cell models, αsyn transgenic mice, and human autopsy brain. PINK1 and PRKN identify and selectively label damaged mitochondria with phosphorylated ubiquitin (pS65‐Ub) to mark them for degradation (mitophagy). We found that disease‐causing multiplications of αsyn resulted in accumulation of the ubiquitin ligase PRKN in cells. This effect could be normalized by starvation‐induced autophagy activation and by CRISPR/Cas9‐mediated αsyn knockout. Upon acute mitochondrial damage, the increased levels of PRKN protein contributed to an enhanced pS65‐Ub response. We further confirmed increased pS65‐Ub‐immunopositive signals in mouse brain with αsyn overexpression and in postmortem human disease brain. Of note, increased pS65‐Ub was associated with neuronal Lewy body‐type αsyn pathology, but not glial cytoplasmic inclusions of αsyn as seen in MSA. While our results add another layer of complexity to the crosstalk between αsyn and the PINK1‐PRKN pathway, distinct mechanisms may underlie in cells and brain tissue despite similar outcomes. Notwithstanding, our finding suggests that pS65‐Ub may be useful as a biomarker to discriminate different synucleinopathies and may serve as a potential therapeutic target for Lewy body disease.
Abstract 5058: Impact of dexamethasone on chemotherapy response in ovarian cancer
Abstract Background: Ovarian cancer ranks fifth in cancer deaths among women. The gold standard of care for advanced disease includes cytoreductive surgery along with adjuvant or neoadjuvant platinum/taxane-based chemotherapy. Although response to this treatment is high, chemotherapy-induced nausea and vomiting due to platinum agents and allergic reactions due to both agents are common. For nearly half a century, the glucocorticoid (GC) dexamethasone (DEX) has been administered as part of supportive care. However, there have periodically been questions about the possible deleterious effects of DEX on chemotherapy response, especially in solid tumors. Methods: Platinum-sensitive, glucocorticoid receptor (GRα) expressing ovarian cancer cells were exposed to DEX prior to chemotherapy and clonogenic survival was assessed. The effects of DEX on cell cycle and apoptosis were assessed by flow cytometry. Changes in the tumor cell transcriptome after acute DEX treatment were determined by RNA sequencing. Mice bearing orthotopic ovarian cancer patient-derived xenografts (PDXs) were treated with chemotherapy ± DEX to assess changes in chemotherapy response in vivo. Findings: DEX pre-treatment decreased platinum cytotoxicity in ovarian cancer cell lines in vitro and diminished platinum response in some PDXs analyzed for chemotherapy response ex vivo. RNA-seq analysis revealed changes in transcripts encoding proteins involved in platinum detoxification and TNFα pro-survival signaling. In ovarian cancer PDXs, DEX decreased platinum response in one model and had limited impact on both platinum and platinum/taxane chemotherapy in three distinct studies. Interpretation: DEX appears to modulate chemotherapy response in some settings in vitro and ex-vivo. The impact of DEX on chemotherapy response in vivo appears to be limited. However, further investigation of this question in vivo in non-immunosuppressed murine models appears warranted. Citation Format: Annapoorna Venkatachalam, Cristina Correia, Cordelia D. Mcgehee, Sarah Finstuen-Magro, Jamison VanBlaricom, Paula A. Schneider, Kevin L. Peterson, Ethan P. Heinzen, Melissa C. Larson, Xiaonon Hou, Ann L. Oberg, Saravut John Weroha, Scott H. Kaufmann. Impact of dexamethasone on chemotherapy response in ovarian cancer. [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 5058.
Abstract 4724: Single cell multiomic profiling of high-grade serous carcinoma
Abstract Ovarian cancer is one of the most common gynecologic malignancies, with high-grade serous carcinoma (HGSC) as the most frequent and deadliest type of ovarian cancer (OC). With the recent advances in cancer epigenomic profiling, it has become clear that intra-tumor heterogeneity driven by genetic and epigenetic factors may be the basis of resistance, where current treatments could efficiently target sub-populations of cells while a sub-group may be resistant, or prone to develop resistance. With epigenomic profiling and single cell sequencing technology, we aim to characterize cell signatures that translate as prognostic markers and novel drug targets. We have mapped the epigenomic landscape of HGSC in 12 patient-derived xenografts (PDX), and their metastatic counterparts (circulating tumor cells and ascites present in the PDX models) using an assay for transposase-accessible chromatin (or ATAC-seq) and compared it with normal fallopian tube organoids to identify tumor and metastatic-specific regulatory elements. We also performed RNA-seq to validate potential transcriptional dependencies associated with resistance to chemotherapy. In order to identify potentially chemotherapy-resistant subpopulations and further validate the activity of some of the transcription factors that can be driving resistance, we performed single cell multiomic profiling using the 10x Multiome sequencing platform (scRNA+scATAC from the same nuclei) in HGSC patient samples and PDX. Finally, we performed immunohistochemistry of patient tissue slides for target markers and correlated it with overall survival in OC patients. As previously suggested, a subset of cancer clonal cells can drive treatment resistance and metastasis and result in poor patient outcomes. Data derived from PDX ATAC-seq showed a cancer stem cell signature driven by SOX2 in metastatic samples compared to the paired PDX primary tumor, suggesting a role for SOX2 in disease progression. Interestingly, SOX2 expression in epithelial cells in the Multiome analysis is more patient-specific than other stem cell markers, like CD133. We also observed that SOX2 expression negatively correlated with prognosis. These data, taken together, point out the promising role of SOX2 as a prognostic and targetable marker for HGSC. Citation Format: Leticia Assad Maia Sandoval, Wazim Mohammed Ismail, Amelia Mazzone, Amik Munankarmy, Jagneet Kaur, Tsering Tashi, Xiaonan Hou, Nagarajan Kannan, Ann Oberg, Scott H. Kaufmann, Saravut John Weroha, Alexandre Gaspar-Maia. Single cell multiomic profiling of high-grade serous carcinoma. [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 4724.
Abstract 6013: DNA methylation-based inflammation score is associated with hepatocellular carcinoma among people living with HIV
Abstract Background: Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related deaths worldwide. In countries with high human immunodeficiency virus (HIV) prevalence, such as Nigeria, HIV-associated HCC causes a great health burden due to its early onset, late diagnosis, and poorer prognosis. HIV infection is involved in inflammation of the liver, which may determine an increased risk of hepatocyte neoplastic transformation. Inflammation-related DNA methylation signatures obtained in liquid biopsy, such as circulating cell-free DNA (ccfDNA) extracted from serum/plasma are promising minimally-invasive biomarkers that may inform HCC among people living with HIV. Methods: A total of 289 Nigerian participants with information on ccfDNA and other covariates were included. Participants were classified into three groups by their HCC/HIV status: 1) HCC+/HIV+ (n=28); 2) HCC-/HIV+ (n=185); and 3) HCC+/HIV- (n=76). We constructed ccfDNA methylation inflammation scores using 49 CpGs previously linked to circulating C-reactive protein (CRP) concentrations, and higher scores represented elevated CRP concentrations with lower methylation levels. To compare the ccfDNA methylation inflammation score across the groups, we performed multivariable logistic regression analyses adjusting for age, sex, alcohol consumption, smoking status, body mass index, study sites, and technical variables. Results: Participants with HCC+/HIV+ presented the highest ccfDNA methylation inflammation scores (mean=-0.03, standard deviation [SD] =0.01). Participants with HCC-/HIV+ presented the lowest scores (mean=-0.05, SD=0.01). In the multivariable logistic regressions, one SD increase of inflammation score was associated with 2.5 times higher odds of having HCC among HIV-infected participants (HCC+/HIV+ vs. HCC+/HIV-; OR=2.56, 95% CI=1.39-4.73, P=0.002). No evidence was found for the association between the inflammation score and HIV status among HCC patients (HCC+/HIV+ vs. HCC+/HIV-; OR=1.00, 95% CI=0.59-1.70, P=0.991). In the secondary analysis comparing HCC+ vs. HCC- adjusting for HIV status, one SD increase of inflammation score was associated with 3.2 times higher odds of having HCC (OR=3.22, 95% CI=1.39-7.46, P=0.006). Conclusions: We observed that ccfDNA methylation inflammation score is associated with HCC status among people with HIV. Our findings suggest that ccfDNA methylation-based inflammatory profiles may serve as a potential biomarker for early detection and risk stratification of HCC in resource-constrained countries with a high prevalence of HIV. Citation Format: Kyeezu Kim, Yinan Zheng, Claudia Hawkins, Edith Okeke, Olufunmilayo Lesi, Yishu Qu, Lewis R. Roberts, Demirkan Gursel, Fatimah B. Abdulkareem, Alani Akanmu, Godwin Imade, Jian-Jun Wei, Masha Kocherginsky, Kwang-Youn Kim, Wasiu L. Adeyemo, Firas Wehbe, Chad J. Achenbach, Atiene Sagay, Folasade T. Ogunsola, Robert L. Murphy, Lifang Hou. DNA methylation-based inflammation score is associated with hepatocellular carcinoma among people living with HIV. [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 6013.
Abstract 4862: Investigation of the JAK/STAT signaling pathway in chemotherapy and PARP inhibitor resistant ovarian cancer
Abstract Ovarian cancer is the 7th most common cancer in women and the most fatal of all female reproductive cancers, with 5-year overall survival of 10-30%. Despite initial responses to first line platinum- and paclitaxel-based chemotherapies, >70% of ovarian cancers recur with increasingly resistant disease; and nearly all of these women die of their disease. Recently, the use of targeted therapies such as bevacizumab and PARP inhibitors have been shown to improve progression-free survival in a subset of patients. However, these agents have thus far failed to improve overall survival in patients without specific genetic signatures, highlighting the continued need for alternative therapies. Through an unbiased drug screen, we have identified lestaurtinib as a potent inhibitor of many sensitive and resistant ovarian cancer cell lines and patient derived organoid models. Lestaurtinib is a known tyrosine kinase inhibitor originally developed to block FLT3, a protein that is not expressed in any of the ovarian cancer cell lines tested. To elucidate the mechanisms by which lestaurtinib inhibits ovarian cancer cells, we have examined its impact on the phospho-proteome in parallel with RNAseq. Results of these studied have identified inhibition of the JAK/STAT signaling pathway as a top hit. Assessment of STAT1 and STAT3 has revealed that these transcription factors are constitutively activated in chemotherapy- and PARP inhibitor-resistant cell lines as reflected by high levels of Tyr701/705 and Ser727 phosphorylation, suggesting that induction of this pathway may drive resistance. Surprisingly, profound differences in the ability of various JAK/STAT inhibitors to block these specific phosphorylation events is observed, which correlates with their potency. Further, STAT1 and STAT3 ChIPseq experiments following cytokine-mediated activation of this pathway reveal that these transcription factors bind to genomic regions encoding genes involved in oncogenic and drug resistance pathways. Genetic knockdown of STAT1 and STAT3 via siRNA, or knockout via CRISPR/Cas9, results in significant growth inhibition of sensitive and resistant models of ovarian cancer, confirming their importance in maintaining cell viability. Finally, combining lestuartinib with standard-of-care cisplatin or olaparib (a PARP inhibitor) is shown to be synergistic, indicating that pharmacological inhibition of JAK/STAT signaling has the potential to counteract drug resistance. Ongoing studies are aimed at further understanding the role of JAK/STAT signaling in ovarian cancer, elucidating the mechanistic processes by which STAT1/3 mediate progression of this disease, and identifying the most effective pharmacological strategies to study in possible future clinical trials. Citation Format: Esther Rodman, Michael Emch, Elizabeth Bruinsma, Xiaonan Hou, Scott Kaufmann, Saravut J. Weroha, John Hawse. Investigation of the JAK/STAT signaling pathway in chemotherapy and PARP inhibitor resistant ovarian cancer. [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 4862.