Citations

600 Background: Hepatocellular carcinoma (HCC) is the most common primary liver cancer and is associated with a high mortality burden. Lenvatinib is an effective frontline tyrosine kinase inhibitor for HCC but is associated with primary and acquired resistance in most patients. Molecular mechanisms of resistance to lenvatinib remain unclear. Methods: We retrospectively analyzed 227 patients with HCC who underwent baseline ctDNA profiling as a component of routine clinical care, including 46 patients who had serial ctDNA analysis done at baseline and after progression to lenvatinib or ICI. Clinical data including demographics, treatment history, tumor responses, and survival outcomes were abstracted from the electronic medical record. Tumor response was categorized according to RECIST 1.1. A national registry of HCC that underwent ctDNA testing using Guardant360 was analyzed to determine the prevalence of EGFR/ERBB2 alterations in HCC. Results: Nearly a third of patients who progressed on lenvatinib demonstrated a gain in EGFR/ ERBB2 amplifications or activating mutations. No consistent trend in EGFR/ ERBB2 amplifications and alterations was found among ICI refractory HCC. Disease control rates (including complete response, partial response, and stable disease) were 20% in EGFR/ERBB2 altered HCC treated with lenvatinib, 62.5% in EGFR/ERBB2 wildtype HCC treated with lenvatinib (p = 0.05), and 58% in EGFR/ERBB2 altered HCC treated with ICIs (p = 0.09). PFS was also longer in EGFR/ERBB2 wildtype HCC treated with lenvatinib (5.9 months) and EGFR/ERBB2 altered HCC treated with ICIs (7.1 months) compared to EGFR/ERBB2 altered HCC treated with lenvatinib (2.2 months, p = 0.002). In a national cohort of 1739 patients with HCC, EGFR amplifications and activating mutations occurred in 6.5% and 1.5% of cases, respectively, and ERBB2 amplifications and activating mutations occurred in 1.9% and 0.7% of cases, respectively. Among EGFR/ERBB2 mutations, we identified recurrent gatekeeper mutations, including multiple A547T and T790M mutations, in 31% of patients. Conclusions: Our study substantiates EGFR/ERBB2 amplifications and mutations as putative drivers of lenvatinib resistance in patients with HCC and identifies the genetic mechanisms for EGFR pathway activation in refractory cancers. EGFR/ERBB2 alterations may thus represent predictive and pharmacodynamic markers of lenvatinib resistance. These findings lend support to the use of EGFR inhibitors combined with lenvatinib in previously untreated or lenvatinib refractory cancers.

Abstract Differentiation of aseptic and septic causes of arthroplasty failure is essential due to their different treatment schemes. We hypothesized that predicted cellularity profiling of sonicate fluid using the RNASeq-based the cellular deconvolution tools CIBERSORTx and ABIS-seq can differentiate between PJI and non-infected arthroplasty failure (NIAF). Profiles were created for 93 sonicate fluid samples (40 from NIAF and 53 from PJI patients) that had been subjected to RNASeq analysis. CIBERSORTx provided 22 total predicted cell types; 12 predicted cellular abundances were differentially expressed in PJI versus NIAF, including increased neutrophils, activated mast cells, and eosinophils (p≤0.0004) and decreased M0 macrophages, M2 macrophages, and Treg cells (p≤0.0001). ABIS-seq provided 17 total predicted cell types; seven predicted cellular abundances were differentially expressed in PJI versus NIAF, including increased neutrophils, Vd2 γδ T cells, and basophils (p-values of <0.0001, 0.0003, and 0.0263, respectively) and decreased nonclassical/intermediate (NC+I) monocytes, mucosal-associated invariant T (MAIT) cells, and myeloid dendritic cells (mDC) (p-values ≤0.0001). Receiver operative characteristic area under the curve (AUC) analysis identified cells types most predictive of PJI (CIBERSORTx: neutrophils [AUC = 94], activated mast cells [AUC = 93]; ABIS-seq: neutrophils [AUC = 88]) and NIAF (ABIS-seq: NC+I monocytes [AUC = 85], MAIT cells [AUC = 80], mDCs [AUC = 81]). PJI and NIAF samples were differentially clustered by principal component analysis using both tools. Overall, cellularity profiling using RNASeq-based cellular deconvolution can differentiate between PJI and NIAF sonicate fluid samples. Work supported by NIAMS (NIH R01 AR056647). CF was supported by the Mayo Clinic Graduate School of Biomedical Sciences and the Ph.D. Training Grant in Basic Immunology (NIH R25 GM055252 24).

Abstract CD8 T cell priming after viral infection of the central nervous system (CNS) is incompletely understood. In peripheral infections, T cell priming generally relies upon stimulation by antigen-bearing dendritic cells (DCs) migrating into draining lymph nodes. The parenchyma of the brain, however, is largely devoid of dendritic cells and evidence demonstrating that activated DCs leave the brain parenchyma is lacking. We therefore sought to understand the role of DCs and specific MHC class I molecules in priming CD8 T cells following CNS infection. We employed H-2Db−/− H-2Kb−/− (MHC-I deficient) mice that express a floxed H-2Db or floxed Kb molecule, a unique transgenic mouse system developed by our research program. Crossed with an MHC class I deficient CD11c-Cre expressing animal results in DC-specific ablation of Db or Kb Class I restricted antigen presentation ability. We found that CD11c+ APCs are critical for the early priming of CD8 T cells against the Db restricted VP2121–130 epitope of the model pathogen, TMEV. However, DCs are ultimately dispensable for long-term development of these antigen specific T cells. Discordantly, the loss of MHC class I restricted antigen presentation ability on CD11c+ APCs does not impact the priming of T cells against the H-2Kb restricted OVA257–264 epitope following intracranial TMEV-OVA infection, but does impact the ability of these T cells to successfully occupy the CNS. This work suggests that differing patterns of MHC class I restriction for CNS pathogen-derived epitopes might have functional consequences on the APC requirements for a successful CD8 T cell response against neurotropic viruses.

Abstract Loosening of prosthetic joint implants is a leading cause of arthroplasty failure and the need for surgical revision. Though the mechanisms that induce loosening are complex and not fully understood, implant-derived wear debris has been suggested to be an important player in the interaction between the prosthesis and surrounding cells needed for post-operative immune response, bone remodeling and implant retention. In this study, MC-3T3 pre-osteoblasts were grown in media supplemented with wear particle analogs [titanium (II) oxide (TiO), chromium (III) oxide (Cr2O3), or cobalt (II, III) oxide (Co3O4) particles] for up to seven days and analyzed for apoptotic marker regulation and cell viability. An increase in apoptotic marker staining and a decrease in viability was found in osteoblasts cultured with TiO and Cr2O3 at concentrations >10 μg/ml after just one day and lasting through seven days of exposure. Similar apoptotic and viability response was observed in Co3O4 treated osteoblasts, but only after seven days of particle exposure. Osteoblasts exposed to 100 μg/ml of TiO, Cr2O3, or Co3O4 for seven days had AnnexinV+ frequencies of 60.2%, 74.7%, and 13.4%, respectively. No difference was detected in osteoblasts exposed to particle concentrations ≤10 μg/ml at any time point. Additionally, particles were found localized to cell membranes and the cytoplasm within a single day of treatment; internalization, specific intracellular location, and downstream processing of the particles are under active investigation. This work provides insight into interactions between prosthetic joint arthroplasty wear particles and the osteoblasts necessary for proper bone homeostasis and joint retention.

Background: Although cellularity is traditionally assessed morphologically, deep sequencing approaches being used for microorganism detection may be able to provide information about cellularity. We hypothesized that cellularity predicted using CIBERSORTx (Stanford University), a transcriptomic-based cellular deconvolution tool, would differentiate between infectious and non-infectious arthroplasty failure. Methods: CIBERSORTx-derived cellularity profiles of 93 sonicate fluid samples, including 53 from subjects who underwent failed arthroplasties due to periprosthetic joint infection (PJI) (abbreviated for the purpose of this study as PJIF) and 40 from subjects who had undergone non-infectious arthroplasty failure (abbreviated NIAF) that had been subjected to bulk RNA sequencing were evaluated. Results: Samples from PJIF and NIAF subjects were differentially clustered by principal component analysis based on the cellularity profile. Twelve of the 22 individual predicted cellular fractions were differentially expressed in the PJIF cases compared with the NIAF cases, including increased predicted neutrophils (mean and standard error, 9.73% ± 1.06% and 0.81% ± 0.60%), activated mast cells (17.12% ± 1.51% and 4.11% ± 0.44%), and eosinophils (1.96% ± 0.37% and 0.42% ± 0.21%), and decreased predicted M0 macrophages (21.33% ± 1.51% and 39.75% ± 2.45%), M2 macrophages (3.56% ± 0.52% and 8.70% ± 1.08%), and regulatory T cells (1.57% ± 0.23% and 3.20% ± 0.34%). The predicted total granulocyte fraction was elevated in the PJIF cases (32.97% ± 2.13% and 11.76% ± 1.61%), and the samples from the NIAF cases had elevated predicted total macrophage and monocyte (34.71% ± 1.71% and 55.34% ± 2.37%) and total B cell fractions (5.89% ± 0.30% and 8.62% ± 0.86%). Receiver operating characteristic curve analysis identified predicted total granulocytes, neutrophils, and activated mast cells as highly able to differentiate between the PJIF cases and the NIAF cases. Within the PJIF cases, the total granulocyte, total macrophage and monocyte, M0 macrophage, and M2 macrophage fractions were differentially expressed in Staphylococcus aureus compared with Staphylococcus epidermidis -associated samples. Within the NIAF cases, the predicted total B cell, naïve B cell, plasma cell, and M2 macrophage fractions were differentially expressed among different causes of failure. Conclusions: CIBERSORTx can predict the cellularity of sonicate fluid using transcriptomic data, allowing for the evaluation of the underlying immune response during the PJIF and NIAF cases, without a need to phenotypically assess cell composition.

AbstractBackgroundWhite matter signal abnormalities (WMSA) are frequently observed on magnetic resonance imaging (MRI) scans of people with frontotemporal dementia (FTD). We hypothesized that carriers of mutations in progranulin (GRN+), chromosome 9 open reading frame 72 (C9orf72+) and microtubule associated protein tau (MAPT+) have increased rates of progression of WMSA compared to non‐carrier individuals prior to onset of dementia, and that different mutations may have different rates of WMSA accumulation.MethodParticipants were recruited through the ARTFL‐LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) Study. We selected participants with Clinical Dementia Rating scale (CDR) scores of 0 and 0.5. If a participant developed FTD during the follow‐up, we only analyzed observations collected before the conversion. WMSA were defined as hyperintensities on FLAIR MRI. Total WMSA volumes were normalized to the respective intracranial volumes. We used a linear mixed effects model, with random intercepts and slopes, to compare the baseline burden and the longitudinal progression of total WMSA volumes between mutation carriers and controls. The model was adjusted for baseline age, sex, education, baseline Montreal Cognitive Assessment (MoCA) scores, and MRI acquisition sites.ResultWe analyzed MRI data from 199 participants who had at least two MRI visits (46 C9orf72+, 17 GRN+, 35 MAPT+, 101 non‐carrier controls; up to five years of follow‐up). We did not find significant group differences in baseline demographic features, except that MAPT+ was younger than non‐carrier controls (average age: C9orf72+=47, GRN+=56, MAPT+=40, controls=47). Baseline WMSA volumes were not significantly different between mutation carriers and controls. Longitudinally, the rates of WMSA volume increase in C9orf72+ and MAPT+ were comparable to controls; whereas, GRN+ had higher rates of WMSA volume increases compared to controls (p=0.01).ConclusionWMSA may accumulate at higher rates in GRN+ prior to the onset of FTD, which is consistent with the frequent presence of white matter diseases observed in symptomatic FTD patients with GRN mutations. Future work is warranted to investigate the association between white matter structural changes and cognitive/psychiatric changes in FTD mutation carriers.

AbstractA large proportion of familial frontotemporal dementia is caused by TAR DNA-binding protein 43 (transactive response DNA-binding protein 43 kDa) proteinopathies. Accordingly, carriers of autosomal dominant mutations in the genes associated with TAR DNA-binding protein 43 aggregation, such as Chromosome 9 open reading frame 72 (C9orf72) or progranulin (GRN), are at risk of later developing frontotemporal dementia. Brain imaging abnormalities that develop before dementia onset in mutation carriers may serve as proxies for the presymptomatic stages of familial frontotemporal dementia due to a genetic cause. Our study objective was to investigate brain MRI-based white-matter changes in predementia participants carrying mutations in C9orf72 or GRN genes. We analysed mutation carriers and their family member controls (noncarriers) from the University of British Columbia familial frontotemporal dementia study. First, a total of 42 participants (8 GRN carriers; 11 C9orf72 carriers; 23 noncarriers) had longitudinal T1-weighted MRI over ∼2 years. White-matter signal hypointensities were segmented and volumes were calculated for each participant. General linear models were applied to compare the baseline burden and the annualized rate of accumulation of signal abnormalities among mutation carriers and noncarriers. Second, a total of 60 participants (9 GRN carriers; 17 C9orf72 carriers; 34 noncarriers) had cross-sectional diffusion tensor MRI available. For each participant, we calculated the average fractional anisotropy and mean, radial and axial diffusivity parameter values within the normal-appearing white-matter tissues. General linear models were applied to compare whether mutation carriers and noncarriers had different trends in diffusion tensor imaging parameter values as they neared the expected age of onset. Baseline volumes of white-matter signal abnormalities were not significantly different among mutation carriers and noncarriers. Longitudinally, GRN carriers had significantly higher annualized rates of accumulation (estimated mean: 15.87%/year) compared with C9orf72 carriers (3.69%/year) or noncarriers (2.64%/year). A significant relationship between diffusion tensor imaging parameter values and increasing expected age of onset was found in the periventricular normal-appearing white-matter region. Specifically, GRN carriers had a tendency of a faster increase of mean and radial diffusivity values and C9orf72 carriers had a tendency of a faster decline of fractional anisotropy values as they reached closer to the expected age of dementia onset. These findings suggest that white-matter changes may represent early markers of familial frontotemporal dementia due to genetic causes. However, GRN and C9orf72 mutation carriers may have different mechanisms leading to tissue abnormalities.