Citations

The principal limitations of the terms NAFLD and NASH are the reliance on exclusionary confounder terms and the use of potentially stigmatising language. This study set out to determine if content experts and patient advocates were in favor of a change in nomenclature and/or definition. A modified Delphi process was led by three large pan-national liver associations. The consensus was defined a priori as a supermajority (67%) vote. An independent committee of experts external to the nomenclature process made the final recommendation on the acronym and its diagnostic criteria. A total of 236 panelists from 56 countries participated in 4 online surveys and 2 hybrid meetings. Response rates across the 4 survey rounds were 87%, 83%, 83%, and 78%, respectively. Seventy-four percent of respondents felt that the current nomenclature was sufficiently flawed to consider a name change. The terms “nonalcoholic” and “fatty” were felt to be stigmatising by 61% and 66% of respondents, respectively. Steatotic liver disease was chosen as an overarching term to encompass the various aetiologies of steatosis. The term steatohepatitis was felt to be an important pathophysiological concept that should be retained. The name chosen to replace NAFLD was metabolic dysfunction–associated steatotic liver disease. There was consensus to change the definition to include the presence of at least 1 of 5 cardiometabolic risk factors. Those with no metabolic parameters and no known cause were deemed to have cryptogenic steatotic liver disease. A new category, outside pure metabolic dysfunction–associated steatotic liver disease, termed metabolic and alcohol related/associated liver disease (MetALD), was selected to describe those with metabolic dysfunction–associated steatotic liver disease, who consume greater amounts of alcohol per week (140–350 g/wk and 210–420 g/wk for females and males, respectively). The new nomenclature and diagnostic criteria are widely supported and nonstigmatising, and can improve awareness and patient identification.

AbstractBackgroundFerroptosis is an important iron‐dependent form of cell death in hepatocellular carcinoma (HCC). Sorafenib, a potent ferroptosis inducer, is used to treat advanced HCC but its efficacy is limited by the development of drug resistance.MethodsThe effects of DUXAP8 expression on HCC progression were evaluated by TCGA database, Kaplan‐Meier analysis, and in situ hybridization analysis. Sorafenib resistant HCC cell lines were modeled in vitro to study the regulation of DUXAP8 on ferroptosis in HCC induced by sorafenib. We used RNA pull‐down, immunofluorescence assays, acyl‐biotinyl exchange assay and mass spectrometry analysis to assess the molecular mechanism of ferroptosis regulation by DUXAP8. Syngeneic subcutaneous and orthotopic CDX models were used to assess whether DUXAP8 inhibition improves HCC in vivo.ResultsLncRNA DUXAP8, which is highly expressed in liver cancer and associated with poor prognosis, contributes to sorafenib resistance through suppression of ferroptosis. In vitro tests revealed that DUXAP8 reduced the sensitivity of HCC to sorafenib‐induced ferroptosis by acting on SLC7A11, a subunit of the amino acid antiporter system xc‐. DUXAP8 facilitates SLC7A11 palmitoylation and impedes its lysosomal degradation, thereby enhancing SLC7A11 action and suppressing ferroptosis. RNA pull‐down and immunofluorescence assays confirmed that DUXAP8 decreased membrane translocation and promoted sorting of de‐palmitoylated SLC7A11 to lysosomes by binding of DUXAP8 to SLC7A11. In addition, mass spectrometric analysis found that the Cys414 residue of SLC7A11 might be the predominant mutant site responsible for molecular masking of SLC7A11 lysosomal sorting. Further, the antitumor effect of DUXAP8 knockdown was verified in orthotopic and subcutaneous CDX models.ConclusionsOur findings suggest that a novel translational strategy combining sorafenib with DUXAP8 silencing to overcome drug resistance may improve treatment efficacy in patients with advanced HCC.

Background: The use of artificial intelligence (AI) in health care has grown exponentially with the promise of facilitating biomedical research and enhancing diagnosis, treatment, monitoring, disease prevention, and health care delivery. We aim to examine the current state, limitations, and future directions of AI in thyroidology. Summary: AI has been explored in thyroidology since the 1990s, and currently, there is an increasing interest in applying AI to improve the care of patients with thyroid nodules (TNODs), thyroid cancer, and functional or autoimmune thyroid disease. These applications aim to automate processes, improve the accuracy and consistency of diagnosis, personalize treatment, decrease the burden for health care professionals, improve access to specialized care in areas lacking expertise, deepen the understanding of subtle pathophysiologic patterns, and accelerate the learning curve of less experienced clinicians. There are promising results for many of these applications. Yet, most are in the validation or early clinical evaluation stages. Only a few are currently adopted for risk stratification of TNODs by ultrasound and determination of the malignant nature of indeterminate TNODs by molecular testing. Challenges of the currently available AI applications include the lack of prospective and multicenter validations and utility studies, small and low diversity of training data sets, differences in data sources, lack of explainability, unclear clinical impact, inadequate stakeholder engagement, and inability to use outside of the research setting, which might limit the value of their future adoption. Conclusions: AI has the potential to improve many aspects of thyroidology; however, addressing the limitations affecting the suitability of AI interventions in thyroidology is a prerequisite to ensure that AI provides added value for patients with thyroid disease.

Abstract Objective Social determinants of health (SDoH) play critical roles in health outcomes and well-being. Understanding the interplay of SDoH and health outcomes is critical to reducing healthcare inequalities and transforming a “sick care” system into a “health-promoting” system. To address the SDOH terminology gap and better embed relevant elements in advanced biomedical informatics, we propose an SDoH ontology (SDoHO), which represents fundamental SDoH factors and their relationships in a standardized and measurable way. Material and Methods Drawing on the content of existing ontologies relevant to certain aspects of SDoH, we used a top-down approach to formally model classes, relationships, and constraints based on multiple SDoH-related resources. Expert review and coverage evaluation, using a bottom-up approach employing clinical notes data and a national survey, were performed. Results We constructed the SDoHO with 708 classes, 106 object properties, and 20 data properties, with 1,561 logical axioms and 976 declaration axioms in the current version. Three experts achieved 0.967 agreement in the semantic evaluation of the ontology. A comparison between the coverage of the ontology and SDOH concepts in 2 sets of clinical notes and a national survey instrument also showed satisfactory results. Discussion SDoHO could potentially play an essential role in providing a foundation for a comprehensive understanding of the associations between SDoH and health outcomes and paving the way for health equity across populations. Conclusion SDoHO has well-designed hierarchies, practical objective properties, and versatile functionalities, and the comprehensive semantic and coverage evaluation achieved promising performance compared to the existing ontologies relevant to SDoH.

Abstract Background: The dysregulation of polycomb repressive complex 2 (PRC2) promotes tumorigenesis and progression. Two therapeutic agents targeting enhancer of zeste homolog (EZH) 2 or EZH1/2, the catalytic subunits of PRC2, have been approved in several cancer types. HH2853 is a novel selective EZH1/2 dual inhibitor, which has demonstrated superior anti-tumor efficacy to tazemetostat (EZH2 inhibitor approved by FDA) in various preclinical models. Methods: This is a first-in-human, open-label, multi-center, phase (Ph) I/II study of HH2853 in patients (pts) with relapsed/refractory (r/r) non-Hodgkin lymphomas (NHLs) or advanced solid tumors. HH2853 was administered orally twice daily (BID) on a continuous 28-day treatment cycle. Ph I consist of two parts: dose escalation part adopting accelerated titration followed by a Bayesian optimal interval design and dose extension part. Dose limiting toxicity (DLT) was evaluated during the 1st cycle in dose escalation. Safety, tolerability, pharmacokinetics (PK), pharmacodynamics (PD) and preliminary anti-tumor activity of HH2853 were explored in this Ph I study. Results: As of Oct 19, 2022, a total of 57 pts, including 50 pts with solid tumors and 7 pts with r/r follicular lymphoma (FL), were enrolled from 12 sites in China and the US. Twenty-five (43.9%) pts received ≥3 lines of prior systemic therapies. Six dose levels(50 mg, 100 mg, 200 mg, 400 mg, 600 mg and 800 mg)were evaluated. DLTs were observed in 2 of 8 DLT evaluable pts at 800 mg: one grade 3 platelet count decreased and one grade 3 diarrhea. A conclusive maximal tolerated dose was not reached. The most common treatment-related adverse events (TRAE) were diarrhea (45.6%), blood bilirubin increased (35.1%), white blood cell count (WBC) decreased (26.3%), platelet count decreased (26.3%), rash (24.6%) and anemia (22.8%). The most common ≥grade 3 TRAEs included anemia (8.8%), platelet count decreased (7.0%), WBC decreased (5.3%) and diarrhea (5.3%). TRAEs leading to dose interruption or reduction were reported in 17.5% and 8.8% pts respectively. No TRAE led to dose discontinuation or death. PK data indicated dose-related increase in exposure from 50 to 600 mg. PD data showed a significant inhibition (maximum reached >90%) of H3K27me3 in granulocytes and monocytes at 400-800 mg. Tumor responses were observed in 7 pts from 200 to 800 mg in multiple tumor types, including complete response in 1 patient with FL, partial response in 3 pts with epithelioid sarcoma, 2 pts with FL and 1 patient with malignant rhabdoid tumor of pancreas. Conclusions: This first-in-human study of HH2853 showed a manageable safety profile and promising anti-tumor activity in multiple tumor types, supporting further exploration in NHLs and solid tumors after recommended Ph II dose is determined.Clinical trial information: NCT04390737 Citation Format: Zhengfu Fan, Jin Wang, Meiyu Fang, Johnston Patrick, Tun Han, David Sommerhalder, Jifang Gong, Jilong Yang, Yun Yang, Javier Munoz, Yuqin Song, Zhiming Li, Xian'an Li, Qiuying Ma, Jinming Han, Lin Shen, Jun Zhu. Preliminary results from the Phase I part of a first-in-human Phase I/II study of HH2853, an EZH1/2 inhibitor, in patients with relapsed/refractory non-Hodgkin lymphomas or advanced solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 2 (Clinical Trials and Late-Breaking Research); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(8_Suppl):Abstract nr CT105.

Abstract Purpose: Treatment options are limited beyond JAK inhibitors for patients with primary myelofibrosis (MF) or secondary MF. Preclinical studies have revealed that PI3Kδ inhibition cooperates with ruxolitinib, a JAK1/2 inhibitor, to reduce proliferation and induce apoptosis of JAK2V617F-mutant cell lines. Patients and Methods: In a phase I dose-escalation and -expansion study, we evaluated the safety and efficacy of a selective PI3Kδ inhibitor, umbralisib, in combination with ruxolitinib in patients with MF who had a suboptimal response or lost response to ruxolitinib. Enrolled subjects were required to be on a stable dose of ruxolitinib for ≥8 weeks and continue that MTD at study enrollment. The recommended dose of umbralisib in combination with ruxolitinib was determined using a modified 3+3 dose-escalation design. Safety, pharmacokinetics, and efficacy outcomes were evaluated, and spleen size was measured with a novel automated digital atlas. Results: Thirty-seven patients with MF (median age, 67 years) with prior exposure to ruxolitinib were enrolled. A total of 2 patients treated with 800 mg umbralisib experienced reversible grade 3 asymptomatic pancreatic enzyme elevation, but no dose-limiting toxicities were seen at lower umbralisib doses. Two patients (5%) achieved a durable complete response, and 12 patients (32%) met the International Working Group-Myeloproliferative Neoplasms Research and Treatment response criteria of clinical improvement. With a median follow-up of 50.3 months for censored patients, overall survival was greater than 70% after 3 years of follow-up. Conclusions: Adding umbralisib to ruxolitinib in patients was well tolerated and may resensitize patients with MF to ruxolitinib without unacceptable rates of adverse events seen with earlier generation PI3Kδ inhibitors. Randomized trials testing umbralisib in the treatment of MF should be pursued.

AbstractObjectiveUse of tacrolimus in mild to moderate myasthenia gravis (MG) is generally limited to glucocorticoid‐refractory cases; the advantage of mono‐tacrolimus over mono‐glucocorticoids is unknown.MethodsWe included mild to moderate MG patients treated with mono‐tacrolimus (mono‐TAC) or mono‐glucocorticoids (mono‐GC). The correlation between the immunotherapy options and the treatment efficacy and side effects were examined in 1:1 propensity‐score matching. The main outcome was time to minimal manifestations status or better (MMS or better). Secondary outcomes include time to relapse, the mean changes in Myasthenia Gravis‐specific Activities of Daily Living (MG‐ADL) scores and the rate of adverse events.ResultsBaseline characteristics showed no difference between matched groups (49 matched pairs). There were no differences in median time to MMS or better between the mono‐TAC group and mono‐GC group (5.1 vs. 2.8 months: unadjusted hazard ratio [HR], 0.73; 95% CI, 0.46–1.16; p = 0.180), as well as in median time to relapse (data unavailable for the mono‐TAC group since 44 of 49 [89.8%] participants remained in MMS or better; 39.7 months in mono‐GC group: unadjusted HR, 0.67; 95% CI, 0.23–1.97; p = 0.464). Changes in MG‐ADL scores between the two groups were similar (mean differences, 0.3; 95% CI, −0.4 to 1.0; p = 0.462). The rate of adverse events was lower in the mono‐TAC group compared to the mono‐GC group (24.5% vs. 55.1%, p = 0.002).InterpretationMono‐tacrolimus performs superior tolerability with non‐inferior efficacy compared to mono‐glucocorticoids in mild to moderate myasthenia gravis patients who refuse or have a contraindication to glucocorticoids.

539 Background: Tinengotinib is a spectrum-selective multi-kinase inhibitor with a unique FGFR-binding mechanism. It potently inhibits FGFR2 fusion/rearrangement and acquired resistant mutations in pre-clinical models and early clinical studies in cholangiocarcinoma (CCA). Here we present the preliminary efficacy and safety of tinengotinib (TT-00420) in a phase II trial TT420C1206 (NCT04919642). Methods: Eligible patients (pts) with advanced/metastatic CCA exhausting standard treatment options received tinengotinib 10 mg QD. Pts were enrolled into four cohorts using historical FGFR alteration status: FGFR2 fusion(s) with primary progression on previous FGFR inhibitor (FGFRi) (A1) or progression after prior response to FGFRi (acquired resistance) (A2); non-fusion FGFR alteration(s) (B); or FGFR wild-type (FGFRwt, C). Primary endpoint was objective response rate (ORR) per RECIST version 1.1. Safety, PK parameters, and biomarker profile were evaluated and reviewed jointly with the efficacy outcomes. Adverse events (AEs) were graded per CTCAE version 5.0. Results: As of Sep 13, 2022, 25 pts with CCA were enrolled and dosed; 7 in A1, 6 in A2, 2 in B and 10 in C. Median age 61 [range 24-82] years old, 64% female, 93.3% had ≥ 3 prior treatment lines. 13 patients with ECOG 0 and 12 patients with ECOG 1 at baseline. Among 15 patients with historical FGFR alterations (13 fusions/rearrangement and 2 mutations), 93.3% had ≥ 1 prior FGFRi, and 3 pts (20.0%) had 2 prior FGFRi treatments. Eighteen pts were evaluable for tumor assessment at data cutoff date, including 4 in A1, 6 in A2, 1 in B and 7 in C. The median follow up was 15 weeks. In A2, 2 out of 6 pts (33%) achieved PR with tumor reductions of 34% and 54%. Overall DCR (CR or PR+SD) was 90% (9/10) in FGFR2 fusion/rearrangement pts; 100% in FGFR primary mutation pt (1/1); and 71% (5/7) in FGFRwt pts. One PR and 5 SDs lasted for more than 16 weeks. Among 25 treated pts, drug-related AEs occurred in 20 (80%) pts, including 7 (28%) with Grade (G) 1-2 AEs, 12 (48%) with G3 AEs, and 1 (4%) with G4 AE. Most frequently occurred G3/4 AEs were hypertension in 6 (24%) pts, including 5 (20%) with G3 and 1 (4%) with G4, G3 fatigue in 2 (8%) and G3 neutrophil count decreased in 2 (8%) pts. No drug-related G5 was observed. The efficacy and safety results observed were consistent with the previous reported data ( NCT03654547 ) in CCA pts. The preliminary biomarker analysis suggests loss of resistant FGFR mutation on liquid biopsy post tinengotinib therapy. Further biomarker analysis will be updated at the presentation. Conclusions: Tinengotinib may result in promising clinical benefit for CCA pts in the setting of FGFRi-resistance. Tinengotinib-related toxicities were manageable. An ongoing phase II study will further provide safety, efficacy and biomarker evaluations for both FGFR resistant and FGFRwt CCA. Clinical trial information: NCT04919642 .

Abstract T cell anergy is a state of cellular hyporesponsiveness that prevents the propagation of an immune response to self. Consequently, the development and maintenance of the anergy program in T cells is tightly controlled. We found in wild type (WT) mice that anergic T cells, defined by co-expression of the cell surface markers CD73 and FR4, express lower expression of the transcription factor Runx1. To test if Runx1 acts as a negative regulator of the anergy program, we utilized a 1:1 mixed bone marrow chimera (BMC) system with ER-Cre Runx1 cKO and WT B6.SJL bone marrow to delete Runx1 in mature CD4+ T cells. Upon tamoxifen treatment and deletion of Runx1, ER-Cre Runx1 cKO CD4+ T cells develop a CD73+FR4+ anergic phenotype. This effect is cell-intrinsic since WT T cells from the same bone marrow chimera do not exhibit the anergic phenotype. Functionally, ER-Cre Runx1 cKO T cells fail to proliferate and produce less IL-2 after TCR/CD28 stimulation, consistent with anergy. Interestingly, WT B6.SJL T cells from the ER-Cre Runx1 cKO:B6.SJL BMC mice fail to proliferate in response to TCR/CD28 stimulation, suggesting Runx1 additionally regulates a cell-extrinsic suppressive mechanism. Using depletion experiments, we found this extrinsic suppression requires FR4+ anergic T cells, but not CD25+ Tregs. Interestingly, the loss of Runx1 leads to the generation of CD73+FR4+ anergy in OT-II T cells, which do not engage their TCR. Thus, the loss of Runx1 drives anergy in the absence of TCR signaling. We conducted RNA-sequencing on ER-Cre Runx1 cKO and WT anergic T cells, and have identified several genes regulated by Runx1 that could play a role in anergy. Further analysis will serve to define the molecular mechanisms Runx1 employs to regulate T cell anergy.