Citations

Abstract Purpose: Isocitrate dehydrogenase (IDH) 1/2–isoform inhibitors have clinical efficacy in IDH1/IDH2-mutated neoplasms. However, primary resistance and secondary resistance limit their therapeutic potential. LY3410738, an oral, brain-penetrant, dual IDH1/IDH2-mutated isoform-selective inhibitor, was designed to overcome resistance. Patients and Methods: This global, multicenter, open-label, phase I study of patients with IDH-mutant solid tumors evaluated LY3410738 as monotherapy (dose escalation) for advanced solid tumors in combination with cisplatin–gemcitabine (CISGEM) for newly diagnosed cholangiocarcinoma or with durvalumab for relapsed/refractory cholangiocarcinoma (dose expansion; NCT04521686). Primary objectives were the maximum tolerated dose, recommended phase II dose, and preliminary antitumor activity. Safety, pharmacokinetics, inhibition of D-2-hydroxyglutarate, and ctDNA were assessed. Results: Overall, 119 patients received LY3410738 alone (N = 94) or in combination with CISGEM (N = 19) or durvalumab (N = 6). No dose-limiting toxicities were observed; the maximum tolerated dose was not determined. Common adverse events included nausea, vomiting, and decreased appetite. Overall response rates of 5.2% and 11.1% and disease control rates of 56.9% and 63.0% were observed for patients with relapsed/refractory IDH1- or IDH2-mutant cholangiocarcinoma or IDH1-mutant glioma, respectively. D-2-hydroxyglutarate normalization was rapid and durable. In dose-expansion cohorts, combination treatments were tolerable, with one dose-limiting toxicity in the durvalumab cohort. LY3410738 plus CISGEM demonstrated a response rate of 42.1%, a median duration of response of 8.1 months, and a median progression-free survival of 10.2 months for patients with newly diagnosed IDH-mutant cholangiocarcinoma. Conclusions: LY3410738 demonstrated largely cytostatic antitumor activity in IDH1- or IDH2-mutated cholangiocarcinoma and IDH1-mutated gliomas. LY3410738 plus CISGEM exhibited favorable antitumor activity in patients with treatment-naïve IDH-mutated cholangiocarcinoma, warranting further exploration as a treatment strategy.

Background: Lung cancer ranks as the leading cause of cancer-related mortality worldwide. The complexity of tumor delineation, crucial for radiation therapy, requires expertise often unavailable in resource-limited settings. Artificial Intelligence (AI), particularly with advancements in deep learning (DL) and natural language processing (NLP), offers potential solutions yet is challenged by high false positive rates. Purpose: The Oncology Contouring Copilot (OCC) system is developed to leverage oncologist expertise for precise tumor contouring using textual descriptions, aiming to increase the efficiency of oncological workflows by combining the strengths of AI with human oversight. Methods: Our OCC system initially identifies nodule candidates from CT scans. Employing Language Vision Models (LVMs) like GPT-4V, OCC then effectively reduces false positives with clinical descriptive texts, merging textual and visual data to automate tumor delineation, designed to elevate the quality of oncology care by incorporating knowledge from experienced domain experts. Results: The deployment of the OCC system resulted in a 35.0% reduction in the false discovery rate, a 72.4% decrease in false positives per scan, and an F1-score of 0.652 across our dataset for unbiased evaluation. Conclusions: OCC represents a significant advance in oncology care, particularly through the use of the latest LVMs, improving contouring results by (1) streamlining oncology treatment workflows by optimizing tumor delineation and reducing manual processes; (2) offering a scalable and intuitive framework to reduce false positives in radiotherapy planning using LVMs; (3) introducing novel medical language vision prompt techniques to minimize LVM hallucinations with ablation study; and (4) conducting a comparative analysis of LVMs, highlighting their potential in addressing medical language vision challenges.

Abstract Background: Isocitrate dehydrogenase 1/2 (IDH1/2) is mutated in a subset of cholangiocarcinoma (CCA), gliomas, and other solid tumors. LY3410738 is a potent, selective, covalent, dual inhibitor of IDH1/2 mutations (IDH1/2m). LY3410738 binds covalently at a novel binding site, enabling continued potency in preclinical models in the setting of second site IDH resistance mutations. We present initial results from the first-in-human phase 1 study of oral LY3410738 in patients (pts) with IDH1/2m CCA, and IDH1m glioma or other solid tumors. Methods: Dose escalation (3+3 design) evaluated LY3410738 monotherapy in advanced IDHm CCA and other solid tumors (NCT04521686). Key objectives included determining the RP2D, safety, PK, PD (inhibition of plasma D-2-HG), and preliminary antitumor activity. Results: As of 28 July 2022, 80 pts including 42 with CCA (33 IDH1m, 9 IDH2m), 27 with glioma (IDH1m), and 11 other tumor types (IDH1m) received LY3410738 dosed at 25-600 mg QD or 300 mg BID. Pts were median 52 years of age (range, 23-80) with a median of 2 prior therapies (range, 1-7). 19% of CCA pts had received prior IDH1 inhibitor. Median time on treatment was 3.7 months (range, 0.1-19). No DLTs or treatment related deaths were observed; the MTD was not reached. Treatment emergent adverse events (TEAEs) ≥15% included nausea (35%), vomiting (21%), and decreased appetite (19%) and were mostly grade 1-2. Most frequent grade ≥3 TEAEs >2% were anemia (4%), cholangitis (3%), headache (3%), decreased lymphocyte count (3%), and hyponatremia (3%). LY3410738 exposure was dose proportional. In pts with IDH1m cancers, LY3410738 achieved sustained D-2-HG inhibition at all dose levels, including in pts who received prior IDH1 inhibitor. In pts with IDH2m cancers, a higher dose (≥150 mg daily dose) was required for D-2-HG inhibition. Among the 42 pts with R/R CCA, the best response included 1 PR and 22 SD. Of the 22 glioma pts with contrast enhancing tumors, best response included 3 PR and 9 SD. Conclusions: LY3410738 demonstrated a favorable safety profile with potent and sustained D-2-HG inhibition in pts with IDH1/2m advanced solid tumors. Consistent with the expectations for IDH inhibitor monotherapy in this setting, CCA and glioma pts exhibited prolonged stable disease. RP2D evaluation is ongoing. Updated data on LY3410738 monotherapy will be presented at the meeting. Citation Format: Jordi Rodon, Lipika Goyal, Teresa Macarulla Mercade, Masafumi Ikeda, Shunsuke Kondo, Do-Youn Oh, Li-Yuan Bai, Makoto Ueno, Antoine Italiano, Kyriakos Papadopoulos, David Spigel, Sani H. Kizilbash, Rasha Cosman, Joon Oh Park, Li-Tzong Chen, Tomoya Yokota, Anita A. Turk, Chih-Yi Liao, Rachna Shroff, Anthony El-Khoueiry, Taroh Satoh, Antoine Hollebecque, Mitesh J. Borad, Nilofer Azad, Kurt A. Jaeckle, Herbert H. Loong, Jorge Adeva, Wei Peng Yong, Junjie Zhao, Hui Liu, Anna M. Szpurka, Ivelina Gueorguieva, Kamnesh R. Pradhan, Xiaojian Xu, James J. Harding. A first-in-human phase 1 study of LY3410738, a covalent inhibitor of mutant IDH, in advanced IDH-mutant cholangiocarcinoma and other 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 CT098.

Coccidioidomycosis, or Valley Fever (VF), is a potentially lethal fungal infection that results in more than 200 deaths/year in the United States. Differential diagnosis and timely treatment of VF is made difficult due to presentation of vague symptoms that often mimic other pulmonary conditions. Accurate diagnosis therefore relies on a combination of clinical presentation, serology, radiography, histology and culture. These diagnostic methods are either costly, time‐consuming, invasive, or indeterminate. Previous studies have used MS‐based methods for the accurate diagnosis of similar fungal diseases as well as characterization of host‐fungal interactions. Herein, we present the first targeted plasma and urine liquid chromatography tandem mass spectrometry (LC‐MS/MS) profiling approach for the relatively non‐invasive, rapid and accurate detection of VF. In this targeted approach, 207 plasma metabolites and 231 urine metabolites were reliably detected using LC‐MS/MS. These metabolites, which are representative of more than 35 metabolic pathways of potential biological relevance, were monitored in 59 plasma samples and 88 urine samples acquired from excess clinical specimens taken from two groups of patients (48 VF patients and 99 non‐VF controls) at Mayo Clinic Arizona. Univariate and multivariate statistical analyses were performed to develop predictive plasma and urine biomarker panels. Pathway and enrichment analyses were performed to elucidate potential pathogenic mechanisms and therapeutic targets. Results of our univariate significance testing and multivariate model estimation informed the construction of a 3‐metabolite panel of plasma biomarkers ( q < 0.05 and VIP > 2; Fig 1) and a 9‐metabolite panel of urinary biomarkers ( q < 0.05 and VIP > 1; Fig 2). Receiver operating characteristic (ROC) curves (Fig 3) generated based on enhanced orthogonal partial least squares‐discriminant analysis (OPLS‐DA) models (Fig 4) showed excellent overall classification performance (99.5%), with 94.4% sensitivity and 97.6% specificity for plasma metabolites. Although urine metabolites were less accurate (92.5%), demonstrating 89.7% sensitivity and 88.1% specificity, they represent a substantial increase in diagnostic accuracy over currently available urinary antigen tests, which only report sensitivity of around 70%. Pathway analysis (Fig 5) and enrichment analysis (Fig 6) ubiquitously showed alterations in metabolic pathways related to fungal virulence, DNA/RNA synthesis and energy utilization, and host immune escape mechanisms. These results potentially reveal pathways or markers that could be targeted therapeutically. This study is the first‐ever MS‐based metabolomics approach for rapid and highly accurate diagnosis of VF. Support or Funding Information Support from the College of Health Solutions at Arizona State University, Arizona Biomedical Research Council (ABRC) grant# 16–162513 and American Achievement Rewards for College Scientists (ARCS) Foundation Award is gratefully acknowledged. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

Abstract Breast cancer (BC) is a common cause of morbidity and mortality, particularly in women. Moreover, the discovery of diagnostic biomarkers for early BC remains a challenging task. Previously, we [Jasbiet al.J. Chromatogr. B.2019, 1105, 26−37] demonstrated a targeted metabolic profiling approach capable of identifying metabolite marker candidates that could enable highly sensitive and specific detection of BC. However, the coverage of this targeted method was limited and exhibited suboptimal classification of early BC (EBC). To expand the metabolome coverage and articulate a better panel of metabolites or mass spectral features for classification of EBC, we evaluated untargeted liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) data, both individually as well as in conjunction with previously published targeted LC-triple quadruple (QQQ)-MS data. Variable importance in projection scores were used to refine the biomarker panel, whereas orthogonal partial least squares-discriminant analysis was used to operationalize the enhanced biomarker panel for early diagnosis. In this approach, 33 altered metabolites/features were detected by LC-QTOF-MS from 124 BC patients and 86 healthy controls. For EBC diagnosis, significance testing and analysis of the area under receiver operating characteristic (AUROC) curve identified six metabolites/features [ethyl (R)-3-hydroxyhexanoate; caprylic acid; hypoxanthine; and m/z 358.0018, 354.0053, and 356.0037] with p &lt; 0.05 and AUROC &gt; 0.7. These metabolites informed the construction of EBC diagnostic models; evaluation of model performance for the prediction of EBC showed an AUROC = 0.938 (95% CI: 0.895–0.975), with sensitivity = 0.90 when specificity = 0.90. Using the combined untargeted and targeted data set, eight metabolic pathways of potential biological relevance were indicated to be significantly altered as a result of EBC. Metabolic pathway analysis showed fatty acid and aminoacyl-tRNA biosynthesis as well as inositol phosphate metabolism to be most impacted in response to the disease. The combination of untargeted and targeted metabolomics platforms has provided a highly predictive and accurate method for BC and EBC diagnosis from plasma samples. Furthermore, such a complementary approach yielded critical information regarding potential pathogenic mechanisms underlying EBC that, although critical to improved prognosis and enhanced survival, are understudied in the current literature. All mass spectrometry data and deidentified subject metadata analyzed in this study have been deposited to Mendeley Data and are publicly available (DOI: 10.17632/kcjg8ybk45.1).

TPS350 Background: Mutations in isocitrate dehydrogenase 1 (mIDH1) are found in approximately 20-30% of patients with intrahepatic cholangiocarcinoma (CCA), and less commonly in glioma, chondrosarcoma, and other gastrointestinal malignancies. Despite documented clinical activity of mIDH1 inhibition in solid tumors, there are no approved targeted therapies for this patient population. LY3410738 is a potent, selective, and covalent inhibitor of mIDH1 R132. LY3410738 is differentiated from prior mIDH1 inhibitors by 1) its unique covalent binding mode, 2) its increased potency, and 3) its unique binding site outside of the dimer interface, which enables activity in the setting of known common second-site IDH1 mutations. Methods: This is an open-label, multicenter, global phase 1 study with oral LY3410738 currently enrolling patients with advanced CCA and other solid tumor types (NCT04521686). A dose escalation cohort will be followed with 4 exploratory expansion cohorts. The primary objective for dose escalation is determination of the maximum tolerated dose (MTD)/recommended phase 2 dose (RP2D). The primary objective for dose expansion is to assess the preliminary anti-tumor activity by ORR of LY3410738 when administered alone or in combination with cisplatin plus gemcitabine. Secondary objectives include evaluating safety and tolerability, pharmacokinetics, pharmacodynamics, progression free survival, and overall survival. Key inclusion criteria include any solid tumor with the presence of mIDH1 R132, ECOG performance status ≤1, and adequate organ function. Any prior treatment including an IDH1 inhibitor is allowed in the dose escalation cohort. Exclusion criteria include presence of active central nervous system metastases, leptomeningeal disease, and active or uncontrolled infection. CCA patients must not have had locoregional therapy within 4 weeks prior to the initial study dose, history of hepatic encephalopathy or refractory ascites, ongoing cholangitis, or mixed hepatocellular-CCA histology. Dose escalation will follow a 3+3 design and will allow patient back-fill to dose levels previously cleared for safety. Each cycle will be 28 days (4 weeks). Once the RP2D is determined, LY3410738 will be evaluated as monotherapy in expansion cohorts 1-3, and in combination with cisplatin plus gemcitabine in expansion cohort 4. Cohort 1 will enroll CCA patients with measurable disease who have received prior chemotherapy. Cohort 2 will enroll patients with advanced solid tumors except CCA who have measurable disease and received standard therapies. Cohort 3 will enroll patients with advanced solid tumors who have non-measurable disease and received standard therapies. Cohort 4 will enroll CCA patients with measurable disease who are treatment naïve for advanced disease. Clinical trial information: NCT04521686.

Metabolites control immune cell functions, and delivery of these metabolites in a sustained manner modulate the function of the immune cells.

Abstract Aberrant over production of monoclonal immunoglobulin is a classic feature of the plasma cell (PC) malignancy multiple myeloma (MM). At diagnosis and more frequently upon relapse, some MM patients present with increased production of monoclonal free light chain (FLC) without a corresponding increase in intact immunoglobulin. This phenomenon is commonly referred to as light chain escape (LCE). As previously described (Walters et al. 2018, Experimental Hematology, Vol 57 p42-49), we have established a monoclonal IgA kappa MM cell line, designated as MC-B11/14, from the bone marrow (BM) aspirate of a 46 year old man diagnosed with MM. This cell line is non-hyperdiploid and possesses an 11;14 chromosomal translocation. Given our long standing interest in immunoglobulin function and secretion, we used CRISPR technology to knock out IgA heavy chain production in an effort to create a model of LCE. Successful knockout (KO) of IgA expression was demonstrated by immunofluorescence, flow cytometry, and western blot. As expected, secretion of intact IgA was undetectable in the MC-B11/14IgA- cells. Notably, no significant difference in morphology, phenotypic markers, or growth patterns was observed between the MC-B11/14WT and MC-B11/14IgA- cells. Examination of drug sensitivity between the MC-B11/14WT and MC-B11/14IgA- cells revealed that the response to pomalidomide treatment was similar between the MC-B11/14WT and MC-B11/14IgA- cells; however, the MC-B11/14IgA- cells were found to be more resistant to treatment with bortezomib. Given that increased bortezomib resistance was the only significant difference detected between the MC-B11/14WT and MC-B11/14IgA- cell lines in our initial study, we decided to take a metabolomics approach to examine whether loss of IgA heavy chain expression may alter cellular metabolism. Metabolomics or the profiling of small molecules is a powerful tool to characterize the metabolome of cells/biological systems and has proven to be useful in identifying alterations that occur in malignancy. In this regard, we employed pathway-specific targeted LC-MS/MS protocols in order to examine over 330 metabolites in 35 metabolic pathways in MC-B11/14WT and MC-B11/14IgA- methanolmetabolite extracts using an Agilent 1290 UPLC-6490 QQQ-MS liquid chromatography mass-spectrometer. Of the 330 metabolites examined, 28 were found to be significantly more abundant in the MC-B11/14IgA- cells compared to MC-B11/14 WT cells while 79 were found to be significantly less abundant. In general, the majority of significant metabolic differences between the two cell lines were found to involve metabolites from various amino acid synthesis pathways. More specifically, the MC-B11/14 WT cell line was found to possess significantly more citraconic acid, anthranilic acid, and homovanillic acid. By contrast, further analysis revealed that the MC-B11/14IgA- cell line was found to possess an 11.5 fold increase of the metabolite 2-hydroxyglutarate (2-HG). 2-HG has previously been shown to act as a competitive antagonist of α-ketoglutarate (α-KG), which results in the inhibition of α-KG-dependent dioxygenases including the JmjC domain-containing histone demethylases (KDMs) and the ten-eleven translocation (TET) family of DNA hydroxylases. Notably, these proteins are known to play a role in histone and DNA demethylation, respectively. Taken together, these data suggest that MM cells that have undergone LCE may also possess an accumulation of 2-HG which could lead to altered patterns of histone and DNA methylation. Given that MM patients who relapse with LCE typically have a poorer prognosis, further investigation of metabolomics in light-chain only expressing cell lines and patients who have relapsed with LCE is warranted. Disclosures No relevant conflicts of interest to declare.