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. Author manuscript; available in PMC: 2026 Oct 20.
Published before final editing as: Mol Cancer Ther. 2026 Sep 22:10.1158/1535-7163.MCT-25-0299. doi: 10.1158/1535-7163.MCT-25-0299

Differential Sensitivity to xCT-inhibition by ME1 expression

Katharine E Caldwell 1, Caitlyn B Brashears 2, Shubham Mehta 1, John P Whelchel 1, David Barr 1, Jake P Roggin 1, Dirk Spitzer 1, Brian A Van Tine 2,3, William G Hawkins 1,*
PMCID: PMC13679071  NIHMSID: NIHMS2209081  PMID: 42772720

Abstract

Many cancers overexpress malic enzyme 1 (ME1), an enzyme essential in redox homeostasis through the generation of cytoplasmic NADPH. While ME1 overexpression is correlated with aggressive cancer phenotypes, little is known about the metabolic consequences of ME1 absence, recently identified as characteristic of synovial sarcoma. ACXT-3102 is a novel, dual-domain therapeutic produced by the conjugation of erastin, a small molecule xCT-inhibitor, and sigma-2 ligand, shown to induce ROS-dependent cell death in various cancer models. This study examines ME1 absence as a marker of sensitivity to xCT-inhibition in multiple malignancies and its role as a potential therapeutic marker for ACXT-3102 treatment.

ME1-expressing and non-expressing tumor cell lines were identified and matched ME1 knockdown (KD) and overexpressing (OE) lines were created. Sensitivity to ACXT-3102 treatment was investigated in various tumor lines in vitro and in vivo. ME1 absence is identified in a subset of multiple malignancies. ME1 KD increases ME1-expressing tumor cell sensitivity to ACXT-3102, while ME1 re-introduction decreases xCT-inhibition sensitivity in ME1-null lines in in vitro and in vivo models.

Compared to ME1-expressing cancers, ME1 absence increases tumor sensitivity to xCT inhibition. Our findings suggest ME1-null and low-expressing tumors constitute a distinct subset across multiple solid tumor types, representing a potential metabolic vulnerability. Given this differential sensitivity, ME1 deficiency may serve as a promising biomarker for selecting patients likely to benefit from xCT-targeting therapies. These results support further investigation into ME1 expression as a predictive tool for clinical trial stratification and of xCT-inhibition treatment strategies.

Introduction

The uncontrolled growth of cancer is spurred by metabolic alterations that regulate the ability of a transformed cell to enhance proliferation and generation of biomass(1). The increased proliferative and metabolic activity of cancer cells results in the increased production of reactive oxygen species(1,2). Increasing cellular cysteine levels is a major cellular response to this oxidative stress(3–5). The cystine/glutamate antiporter SLC7A11 (xCT) is highly expressed in several cancer types and plays a crucial role in providing essential precursors for the synthesis of glutathione (GSH), a key cellular antioxidant (6–8). Cystine imported by xCT is rapidly converted to cysteine within the cellular environment. Cysteine is essential for synthesizing the tripeptide GSH, which is necessary for maintaining cellular redox homeostasis(6,7). Beyond its role in protection against oxidative stress, xCT has garnered significant attention in cancer research due to its potential as a therapeutic target for its role in tumor proliferation(8), metastasis(9), invasion(10), and drug resistance(11). Inhibition of the xCT transporter has been shown to lead to ferroptosis(12,13), a ROS-mediated form of cell death.

Erastin is a potent small molecule inhibitor of xCT that induces ROS accumulation and ferroptosis induction in vitro(14,15). However, erastin has underperformed in clinical trials due to a lack of cellular uptake(16,17). ACXT-3102 is a novel, dual-domain therapeutic produced by the conjugation of erastin and the sigma-2 ligand. Targeting of cancers and delivery of small molecules by sigma-2 ligands is well established(18,19). Our group first synthesized and reported the efficacy of delivering erastin with a sigma-2 ligand in pancreatic cancer(20,21). This conjugation results in enhanced cancer cell uptake compared to unconjugated erastin and enhanced efficacy in vivo (21). Similar to erastin, ACXT-3102 induces ROS-dependent cell death(20,21). Previous work from our group has demonstrated the potential of sigma-2 ligands to improve tumor control when combined with standard chemotherapeutic agents and ACXT-3102 has been demonstrated to outperform standard of care chemotherapy in stroma-dense pancreatic cancer models(20,21) Although targeting cellular redox homeostasis is a promising area of cancer research, many metabolically targeted therapeutics are ineffective when used as a single agent in clinical trials(22,23). Therefore, the identification of synergistic targets is necessary to generate a clinically translatable treatment strategy.

In addition to increased levels of cysteine, highly proliferative cancer cells depend upon increased production of NADPH for the recycling of antioxidant systems to maintain redox homeostasis(24,25). As a result, the overexpression of enzymes that produce NADPH is also a common feature of cancer metabolism. Malic enzyme 1 (ME1) is a cytoplasmic enzyme that contributes to the cytoplasmic pool of NADPH (26,27). ME1 catalyzes the reductive carboxylation of malate to pyruvate and, in the process, converts NADP+ to NADPH (28). Many cancers that overexpress ME1 have been identified, and ME1 overexpression has been correlated with more aggressive cancer phenotypes, including poor survival and radiotherapy resistance in multiple malignancy subtypes (29–35). While the metabolism of ME1 overexpression is well-categorized in the literature, comparatively little is known about the metabolic consequences of ME1 absence that was recently described as a characteristic of synovial sarcoma (36). Limited studies of ME1 knockdown in various cancer subtypes have revealed metabolic dysregulation, including alterations in glucose utilization, reduction in GSH pools, and a significant increase in baseline ROS levels, resulting in enhanced sensitivity to redox stress (37,38). Previous work within synovial sarcoma has shown that absence of ME1 expression increases dependency on the oxidative pentose phosphate pathway for the production of NADPH. The demonstrated decrease in glutathione pathway activity, combined with an increase in free labile iron pools results in increased sensitivity to ferroptotic cell death via xCT inhibition.(36)

In this study, we have identified ME1 absence as a characteristic of a small subpopulation of many solid organ tumors beyond its originally described absence in synovial sarcomas. The absence of ME1 increases sensitivity to xCT inhibition relative to matched ME1-expressing cancers. Taken together, ME1-null and low-expressing cancers seem to represent a small population of multiple cancer subtypes, and ME1 absence may be a promising marker for targeting xCT-inhibiting chemotherapeutics.

Materials and Methods

ACXT-3102 Generation

Sigma-2 ligand SV119 and Erastin analogue (dm-Erastin) were synthesized according to published methods (39).ACXT-3102 was previously named SW-V 49. The method for synthesis of the sigma-2/dm-Erastin conjugate has been previously described and published by our laboratory(18,21). Briefly, a dm-Erastin precursor with a terminal aldehyde group is created through a series of condensation, cyclization, and substitution reactions. This intermediate is covalently coupled to the primary amine of the sigma-2 ligand SV119 via reductive amination using sodium borohydride, yielding the final target conjugate (SW V49/ACXT-3102) as an oxalate salt. To increase the solubility, the free amine is treated with hydrochloric acid followed by precipitation. For full chemical synthesis, please see previously published methods from our laboratory (18, 21, 39). The HCl salt formulation of ACXT-3102 was used in all in vitro and in vivo experimentation described in this paper. ACXT-3102 vehicle is dissolved in isotonic saline – 0.9% NaCl without the need for additional solvent. Equivalent volume of isotonic saline – 0.9% NaCl was used as control for all in vitro and in vivo experimentation.

Patient-derived xenograft mRNA expression analysis

Clinical and sequence data were obtained from the Washington University Development and Trial Centers (WU-PDTC). Samples were validated using various QC metrics, including overall coverage and pedigree consistency. Cancer groups were defined based on Cancer Therapy Evaluation Program (CTEP) diagnoses. RNA-seq data in fastq format were prepared for analysis by trimming adapters and filtering to remove reads mapping uniquely to the mouse. The remaining reads were analyzed using Kallisto(40) to estimate gene-level expression as TPM (transcripts per million) values.

Cell Culture Conditions

Cancer cell lines ASPC1 (RRID: CVCL_0152), HCT-116 (CVCL_0291), RKO (CVCL_0504), SKUT1 (RRID: CVCL_0533), SK-LMS-1 (RRID: CVCL_0628), SHP-77(RRID: CVCL_1693), and NCI-H69 (RRID: CVCL_1579) were obtained in 2018 from the American Type Culture Collection (ATCC, Manassas, VA, Cat. #: CRL-1682, CCL-247, CRL-2577, HTB-115, HTB-88, CRL-2195, and HTB-119). All cells were authenticated by ATCC prior to receipt. All cell lines were cultured in a humidified incubator at 37°C in 5% CO2. ASPC1 and NCI-H69 cell lines were cultured in RPMI-1640 media (Sigma Aldrich, St. Louis, MO, #30-2011) supplemented with 10% FBS (Atlanta Biologicals, Flowery Branch, GA, #S11150). RKO, SKUT, and SK-LMS-1 cell lines were cultured in Dulbecco Modified Eagle Medium (Sigma Aldrich, St. Louis, MO, #30-2002) supplemented with 10% FBS. SHP-77 cell lines were cultured in RPMI-1640 supplemented with 10% heat-inactivated FBS. All media was treated with a combination of penicillin (100 mg/mL) and streptomycin (100 mg/mL) (Sigma Aldrich, St. Louis, MO, #30-2300). All cell lines were confirmed to be mycoplasma negative with the Lonza MycoAlert Mycoplasma Detection Kit (Lonza, #LT07-118) and tested routinely at minimum three-month intervals according to standard laboratory protocols. All cell lines were cultured for less than 6 months after thawing.

Generation of ME1 knockdown and overexpressing cell lines

The RKO ME1 overexpressing (RKO ME1 OE) cell line was kindly provided by Dr. Van Tine (Washington University). ASPC1 ME1 knockdown (ASPC1 ME1 KD) and HCT-116 ME1 knockdown (HCT-116 ME1 KD) were generated by incubation of cell lines with shRNA ME1 lentiviral transduction particles (Sigma Aldrich, St. Louis, MO), (Mission shRNA–TRCN0000064730) sequence CCGGGCTGAGGTTATAGCTCAGCAACTCGA GTTGCTGAGCTATAACCTCAGCTTTTTG. Cells were tested for sensitivity to puromycin (Sigma Aldrich, St. Louis, MO), and concentrations of puromycin, which resulted in 100% cell death, were identified. Cells were incubated with shRNA ME1 transduction particles according to manufacturer instructions. After incubation with the shRNA vector, cells underwent puromycin selection to confirm appropriate knockout. Knockout was further verified by ProteinSimple Wes™ as described below.

RKO ME1 overexpressing (OE) cells were cultured in Dulbecco’s Modified Eagle’s Medium (DMEM) with 10% FBS. ASPC1 ME1 KD cells were cultured in RPMI-1640 with 10% FBS. HCT-116 ME1 KD cells were cultured in McCoy’s Media with 10% FBS. Penicillin (100 mg/mL) and streptomycin (100 mg/mL) were added to the media; cells were maintained in a humidified incubator at 37°C with 5% CO2. KD and OE cell lines underwent regular selection by treatment with puromycin as well as confirmatory Western blot testing for the presence or absence of ME1. Puromycin was withdrawn 24 hours before any metabolic assay was performed. All cell lines were cultured for less than six months and were viable in culture with stable ME1 expression status over multiple passages.

Drug Treatment and Cell Death Assays

Cancer cell lines were plated at a density of 2.5 ×104 cells/well in a clear-bottom 96-well plate for 24 hours before treatment. Cells were stained with IncuCyte NucLight Rapid Red Dye for Live Cell Cytoplasmic Labeling (#4717, Sartorius, Ann Arbor, MI) according to standard manufacturer protocol. The cells were then treated for a designated time (4–24 hours, depending on the experimental endpoint) with ACXT-3102. Untreated cells on each plate served as controls. Cell death assays were conducted with treatment media including 50 nM YOYO-1 Iodide (Cat # Y3601, Invitrogen, Carlsbad, CA). Green YOYO-1 Iodide fluorescence and red nuclear fluorescence were monitored on the IncuCyte S3 live cell imaging system and analyzed using IncuCyte image analysis software. Cell death was quantified by normalizing total green area/mm2 to total red area/mm2 to account for differences in cell density and then normalized to the starting time point. Percent cell death was calculated using a 100% death endpoint measurement. Quantification of analyses is summarized as mean ± SD, with variance across groups compared for statistical significance by Student’s t-test on Prism 8 software. All assays were completed in triplicate and repeated at three independent time points.

Cell Proliferation Assessment

Cells were plated at a density of 5.0 ×104 cells/well in a clear-bottom 96-well plate for 24 hours before proliferation assessment. Cells were stained with IncuCyte NucLight Rapid Red Dye for Live Cell Nuclear Labeling (Cat #4717, Sartorius, Ann Arbor, MI) according to standard manufacturer protocol. Cells were then treated with relevant compounds, and red nuclear fluorescence was monitored on the IncuCyte S3 live cell imaging system and analyzed using IncuCyte image analysis software. Proliferation was quantified by normalizing the total red area/mm2 to the starting time point. All assays were completed in triplicate and repeated at three independent time points.

Immuno Assays

For analysis of protein expression (SantaCruz Biotech, Santa Cruz, CA), cells were seeded at 3 ×105 in a 6-well plate one day before collection. On the day of collection, media was removed, and cells were washed 3x with phosphate-buffered saline (PBS). Cells were collected and lysed per reagent protocol with 1X RIPA buffer (cell lysis buffer) (Cell Signaling Technology, Danvers, MA) with protease inhibitor. Lysates were run on a ProteinSimple Wes Capillary electrophoresis instrument (ProteinSimple, Bio-Techne, Minneapolis, MN), using instrument default settings and manufacturer’s standard protocols for immunoassay and total protein analysis through a CE-SDS protein analysis system thus no electrophoresis bands are generated or demonstrated based on standard protocol for this assay. Anti-ME1 antibody (RRID: AB_10679994) (malic enzyme 1, ab 97445, Abcam, Cambridge, UK) was used at an antibody concentration of 1:50, Protein levels were visualized and quantified using Compass for SimpleWestern software (ProteinSimple, Bio-Techne, Minneapolis, MN). Band density differences are expressed as relative densitometry normalized to total protein. Quantification of analyses is summarized as mean ± SD, with variance across groups compared for statistical significance by Student’s t-test. For tumor-derived lysates, tumors were collected fresh after mouse takedown. Tumors were isolated by dissection and immediately placed on ice. Tumors were lysed with 1X RIPA buffer with protease inhibitor. Lysates were run on a ProteinSimple Wes Capillary electrophoresis instrument using instrument default settings and the manufacturer’s standard protocols. Antibodies were used in the same manner as for cell-derived lysates at equal concentrations. Band density differences are expressed as relative densitometry normalized to total protein. Quantification of analyses is summarized as mean ± SD, with variance across groups compared for statistical significance by Student’s t-test.

Formalin Fixation and Immunohistochemistry Analysis

Tumors collected from orthotopic models were fixed overnight in 10% Neutral Buffer Formalin before being stored in 70% EtOH prior to paraffin embedding. Cleaved Cascade 3 Antibody (Cell Signaling Technology, Cat No. 9664) was used.

In vivo assessment of ACXT-3102 in murine and rat models of cancer.

Mouse xenograft experiments were performed in adherence with the animal studies protocol approved by the Washington University Institutional Animal Care and Use Committee (IACUC). Animals were maintained in pathogen-free conditions following IACUC guidelines (St. Louis, MO). Homozygous athymic nude mice (RRID: IMSR_CRL:490)(6 weeks old, females, Charles River Laboratories, strain #490) were injected in the right flank with 100uL of a single-cell suspension of SHP77, SYO-1, HCT116, ASPC1, ASPC1 ME1 KD, RKO or RKO ME1 OE cells suspended in DMEM media (1.5 × 105 cells per mouse) with 50% matrigel (Corning, Corning, NY). Wild-type C57BL/6NTac (RRID: IMSR_TAC:B6) (6-week-old, females, Taconic Biosciences, Model No. B6-F) were injected in the right flank after hair removal with 100uL of single-cell suspension of KP2 cells suspended in DMEM media (1.5 × 105 cells per mouse) with 50% matrigel (Corning, Corning, NY). Similarly, RNU Nude Rats (RRID: RGD_2312499) (8-week-old females, Charles River Laboratories, strain #316) were injected in the right flank with cellular suspensions of PAUT cells. For orthotopic models, tumors were established by injecting 300,000 KP2 cells into the pancreas of wild-type C57BL/6NTac (RRID: IMSR_TAC:B6) (6-week-old, females, Taconic Biosciences, Model No. B6-F). Six days after surgery, mice were randomized to receive vehicle control or ACXT-3102 (60mg/kg) by oral gavage. After two weeks of continuous treatment, tumors were harvested for downstream analysis.

For subcutaneous models, animals were monitored daily following injection for tumor development. Treatment was begun when the mean tumor volume was 100mm3 as measured by caliper for murine models and 1000 mm3 for rat models. Animals were randomized into treatment groups by sequential occurrence of tumors. Mice and rats were weighed daily and received daily oral gavage with ACXT-3102 (30 mg/kg, 45mg/kg, or 60 mg/kg by experimental group) or equal volume vehicle only (sterile isotonic saline −0.9% NaCl) for control groups. All experimental concentrations of the drug were confirmed by in vitro efficacy studies as described above before use in in vivo models.

Tumors were measured in two dimensions daily with a digital caliper, and tumor volumes were calculated by the standard formula of tumor volume = (length × width2)/2. Graphical representation of data for periods>10 days demonstrates measurements only every third day for clarity. Graphical representation of data for orthotopic models is presented as endpoint data only.

Animals were treated for 10 days for murine dose-response studies or 30 days for efficacy studies and followed to the experimental endpoint. Animals were euthanized by CO2 chamber according to animal studies protocols when the experimental endpoint, or humane endpoint, was reached (tumor size >2 cm3 in murine models and >2.5cm3 in rat models, tumor ulceration, or weight loss greater than 20% of starting weight).

Statistical analyses

Statistical analyses and data plotting were performed using GraphPad Prism software version 8 (San Diego, CA) and SPSS software version 26 (IBM Corp, Armonk, NY). Results for all in vitro studies are derived from at least three replicates of each data point repeated at three time points. IC50 values were calculated by curve fitting normalized viability versus drug concentration.

In vitro, protein expression and cell death are expressed as mean +/− standard deviation, and a two-tailed student’s t-test was performed for individual group comparison at a single time point and two-way ANOVA testing was performed when multiple time points are analyzed.

Statistical analysis for in vivo study data was performed by analysis of variance for multiple-group comparison or 2-way ANOVA for individual group comparison. Kaplan-Meier survival analysis was used to assess differences in overall survival between treatment groups, and log-rank testing was used to determine the significance. Data for in vivo tumor growth curve analysis is expressed as mean +/− standard error of the mean. The number of mice per group for all in vivo experiments is presented in the results section and figure legends. * p < 0.05, ** p < 0.01, *** p < 0.001 were considered to represent statistically significant group differences.

Research Oversight and Ethics

Animal care approval was provided by the Washington University IACUC and all animal experiments were carried out in compliance with IACUC animal care policies. Use of de-identified patient-derived xenograft samples were obtained from the Washington University in Saint Louis Tissue Bank and were fully de-identified and determined by the IRB to be exempt from written informed consent requirements in accordance with the Declaration of Helsinki and relevant institutional ethical guidelines.

Data Availability

The analyzed TCGA (https://portal.gdc.cancer.gov/), NCI-60 gene expression (https://dtp.cancer.gov/mtweb/browse.jsp), and CCLE data (https://sites.broadinstitute.org/ccle/datasets) within this article ainstire publicly available through respective online resources. For access to the other raw data files associated with figures within this paper, please contact the corresponding author. For access to the xCT inhibitor ACXT-3102, contact Accuronix Therapeutics (bkeller@accuronix.com) or by contacting Dr. William Hawkins (hawkinwi@musc.edu).

Results

ACXT-3102 is Effective Against a Variety of Solid Tumors

As has been demonstrated, ACXT-3102 is a potential chemotherapeutic that shows efficacy in a variety of tumor models (21,36). To determine the potential efficacy of ACXT-3102 in multiple models and establish a minimal therapeutic efficacious dose, ACXT-3102 was tested across multiple solid tumor models. Following tumor growth to 100mm3 for mouse or 1000mm3 for rat studies, all animals were randomized into treatment groups and were dosed according to standard laboratory protocol with once daily oral gavage doses of ACXT-3102 using low dose (LD, 30mg/kg), mid-dose (MD, 40 or 45mg/kg), or high dose (HD, 60mg/kg) protocols for 10 days. Across all experiments, the drug vehicle (isotonic saline −0.9% NaCl) was used as a control. ACXT-3102 did not result in significant weight loss in any xenografted model when compared to vehicle control and was well tolerated for the duration of the study period for all mice. All mice were treated with LD, MD, and HD dosing regimens. Rat lines were dosed with only LD and MD dosing strategies.

In an immunocompetent KP2 mouse model of pancreatic cancer grafted into B6 mice, LD and MD ACXT-3102 failed to show superiority to the vehicle. However, HD ACXT-3102 demonstrated significant tumor control (Fig 1a) after 10 days of treatment. This was additionally demonstrated in a human xenografted model of pancreatic cancer using the ASPC1 cell line (Fig 1b). In this model, LD ACXT-3102 was ineffective; MD and HD ACXT-3102 were able to achieve tumor control with no significant difference between MD and HD strategies. We further tested the efficacy in a non-murine model using PAUT human xenografted pancreatic cancer cells onto a rat model (Fig 1c). We demonstrated similar results, in which tumor control was achieved, but required MD ACXT-3102 without tumor control able to be achieved with LD ACXT-3102. We found similar results in xenografted lung cancer (SHP-77) (Fig 1d) and xenografted colorectal cancer (HCT116) models (Fig 1e). In both cases, only HD regimens were able to achieve tumor control after 10 days of treatment with no significant difference between LD and MD strategies.

Figure 1: ACXT-3102 is effective against a variety of solid tumors.

Figure 1:

a. Tumor growth curves of xenografted KP2 tumors in control (isotonic saline – 0.9% NaCl vehicle), (n=9), LD (30mg/kg) MD (45mg/kg) S2E (n=9), and HD ACXT-3102 (60mg/kg) (n=9) groups. Treated for a total of 10 days.

b. Tumor growth curves of xenografted ASPC1 tumors in control (isotonic saline – 0.9% NaCl vehicle), (n=8), LD (30mg/kg) (n=8), MD S2E (40mg/kg) (n=8), and HD ACXT-3102 (60mg/kg) groups. Treated for a total of 10 days.

c. Tumor growth curves of xenografted PAUT tumors in control (isotonic saline – 0.9% NaCl vehicle), (n=8), LD (30mg/kg) S2E (n=8), MD ACXT-3102 (45mg/kg) (n=6) groups. Treated for a total of 10 days.

d. Tumor growth curves of xenografted SHP77 tumors in control (isotonic saline – 0.9% NaCl vehicle), (n=5), LD (30mg/kg) ACXT-3102 (n=5), MD (45mg/kg), and HD ACXT-3102 (60mg/kg) (n=5) groups. Treated for a total of 10 days.

e. Tumor growth curves of xenografted HCT116 tumors in control (isotonic saline – 0.9% NaCl vehicle), (n=8), LD (30mg/kg) (n=8), MD (45mg/kg), and HD ACXT-3102 (60mg/kg) (n=8) groups. Treated for a total of 10 days.

f. Tumor growth curves of xenografted RKO tumors in control (isotonic saline – 0.9% NaCl vehicle), (n=14), LD (30mg/kg) S2E (n=14), MD (40mg/kg), and HD ACXT-3102 (60mg/kg) (n=10) groups. Treated for a total of 10 days.

g. Tumor endpoint weight for orthoptic KP2 tumors in control (isotonic saline – 0.9% NaCl vehicle), (n=11), and HD ACXT-3102 (60mg/kg) (n=11) groups. Treated for a total of 14 days.

h. Tumor endpoint volumes for orthotopic KP2 tumors in control (isotonic saline – 0.9% NaCl vehicle) (n=12), and HD ACXT-3102 (60mg/kg) (n=11) groups. Treated for a total of 14 days.

All data are expressed as mean± SEM. Non-significant data noted as ns, p > 0.05, * p<0.05, **p<0.01, ***<0.001. ANOVA testing was performed for all tumor growth analyses.

One cell line, RKO was identified to demonstrate improved sensitivity to ACXT-3102 in xenografted models. RKO colon cancer xenografted models showed similar durable tumor control with LD strategies without improved control by MD or HD ACXT-3102. (Fig 1g) SYO-1 sarcoma models have previously demonstrated substantial tumor control with LD ACXT-3102, with no additional advantage achieved by HD strategies, which has been previously published by our laboratory (36).

Additional experimentation by an orthotopic model was performed by surgical injection of KP2 cells into the pancreas of an immunocompetent mouse model. After two weeks of continuous treatment, tumors were harvested and endpoint tumor weight (Fig 1g) and volume (Fig 1h) were measured showing statistically significant tumor control using HD ACXT-3102. Representative tumor images are found in Supplemental Figure 1. ME1 expression of KP2 cells was confirmed and histopathological analysis was performed on tumor tissue.

ME1 Deficiency Is Present Within Cell Lines and Correlates to ACXT-3102 Sensitivity within the NCI60

To better understand the demonstrated improved efficacy of ACXT-3102 in these models, RNA sequencing data from the US National Cancer Institute (NCI) Human Tumor Cell Lines Panel (NCI-60) was used as a screening platform to identify expression profiles that sensitize to ACXT-3102 treatment. Due to the previously demonstrated mechanism of ROS-mediated cell death in response to Erastin treatment, we investigated a link between ACXT-3102 and over 100 genes associated with ROS homeostasis (Supplemental Table 1). ACXT-3102 doses required to induce half-maximal cancer cell death in vitro (IC50) were correlated with gene expression across multiple cancer subtypes. A total of seven genes demonstrated a correlation between gene expression and ACXT-3102 sensitivity. Of these, malic enzyme 1 (ME1) demonstrated the strongest significant correlation between drug dose and gene expression level (Fig 2a). To determine the translation of our findings into human tumors, we investigated the expression of ME1 in multiple human tumor models. We quantified the expression of ME1 using mRNA from patient-derived xenograft samples (Fig 2b). As we hypothesized that ME1 expression was the potential explanation for our differential sensitivity demonstrated in vivo, we examined the Cancer Cell Line Encyclopedia (CCLE) to investigate the commonality of ME1-low and non-expressing cell lines. We found a small population of cell lines across multiple solid tumors (pancreas, lung, and colorectal) as well as sarcoma lines, which demonstrated low or non-expression of ME1 (Fig 2c–f). Notably, both cell lines that had demonstrated increased sensitivity to ACXT-3102 in animal models, SYO-1 and RKO, were identified in this search as ME1 non-expressing cell lines.

Figure 2: ME1 Deficiency Is Present Within Cell Lines and Correlates to S2E Sensitivity within the NCI60.

Figure 2:

a. IC50 of ACXT-3102 and mRNA expression of ME1 as expressed by log (mRNA sample/mRNA reference). Pearsons’ correlation 0.41, p 0.03.

b. ME1 mRNA expression (transcripts per million, TPM) among patient-derived xenograft samples.

c. A representative sample of ME1 expression among pancreatic cancer CCLE cell lines. ME1 expression is expressed as log2 (TPM+1)

d. A representative sample of ME1 expression among colorectal cancer CCLE cell lines. ME1 expression is expressed as log2 (TPM+1)

e. A representative sample of ME1 expression among lung cancer CCLE cell lines. ME1 expression is expressed as log2 (TPM+1)

f. A representative sample of ME1 expression among sarcoma CCLE cell lines. ME1 expression is expressed as log2 (TPM+1)

ME1 Deficiency Defines a Small Population of Solid Tumors and Sarcoma

To further investigate the commonality of this subset of tumors, The Cancer Genome Atlas Program (TCGA) data across several solid tumor and sarcoma samples was examined. Multiple malignancies demonstrated alterations in ME1 expression (Supplemental Figure 2). A small population of pancreatic, colorectal, lung cancer, and sarcoma samples demonstrated deep deletions (3a-d), with multiple tumors also demonstrating shallow deletions. Taken together, these data identify a subset of human tumors with naturally occurring low or absent ME1 expression.

The effects of ME1 on disease-specific mortality was investigated next. Within pancreatic, colorectal, lung, and sarcoma, the 10% of tumor samples expressing the lowest percentage of ME1 expression did not demonstrate significantly increased disease-specific risk as compared with tumor samples within the highest decile of ME1 expression (3e-h).

ME1 Status Determines Sensitivity in vitro to xCT-inhibition mediated cell death

To further investigate this observation, the direct effect of ACXT-3102 on tumor cell death in vitro was determined. the ME1 status of multiple cell lines was measured by WES (Fig 4a). Endogenous ME1 expression was reduced by small hairpin-induced RNA interference (shRNA knockdown, KD) in ME1-expressing ASPC1 (pancreatic cancer) and HCT116 (colon cancer) cell lines. ME1 expression was confirmed to be decreased to 50% and 10% of endogenous protein levels, respectively (Fig 4b). ME1 was re-expressed by stable, ectopic overexpression (OE) via standard DNA transfection in ME1-deficient colon cancer cells, RKO (Fig 4b). Therefore, the functional implications of reduced ME1 expression on ACXT-3102 sensitivity in isogenic cell line pairs were examined by cell death assays on the IncuCyte S3. These findings mirrored the in vivo results and demonstrated increased sensitivity to ACXT-3102-induced cell death mediated by ME1 expression. There was a significant increase in sensitivity among ASPC1 ME1 KD (Fig 4c) and HCT116 ME1 KD (Fig 4d) cells as compared to parent ME1 wild-type lines. Additionally, the reintroduction of ME1 expression into RKO cells demonstrated increased resistance to ACXT-3102-induced cell death (Fig 4e). These findings demonstrate that ME1 expression negatively correlates with sensitivity to ACXT-3102 in vitro. xCT inhibition does not seem to result in increased ME1 expression among ME1-expressing cells as a compensatory mechanism of resistance to ACXT-3102 (Supplemental Figure 3).

Figure 4: ME1 Status Determines Sensitivity in vitro to xCT-inhibition mediated cell death.

Figure 4:

a. Protein expression of ME1 in colon cancer (RKO, HCT-116), sarcoma (SK-LMS-1, SKUT), and lung cancer (SHP-77, NCI-H69). Band density differences are plotted as ME1 area under the curve normalized to total protein in the capillary (n=3).

b. Protein expression of ME1 in ME1 non-expressing wild-type cells (RKO) and overexpressing cells (RKO ME1 OE) and ME1 expressing wild-type cells (ASPC1, HCT-116), and shRNA knockdown cells (ASPC1 ME1 KD, HCT-116 ME1 KD). Band density differences are plotted as ME1 area under the curve normalized to total protein in the capillary (n=3).

c. Percent cell viability at 4 hours in ASPC1 and ASPC1 ME1 KD treated with increasing doses of ACXT-3102, measured using YOYO-1 Iodide counts/well, normalized to total cell count (n=3).

d. Percent cell viability at 4 hours in HCT-116 and HCT-116 ME1 KD treated with increasing doses of ACXT-3102, measured using YOYO-1 Iodide counts/well, normalized to total cell count (n=3).

e. Percent cell viability at 4 hours in RKO wild type and RKO ME1 OE cells treated with increasing doses of ACXT-3102, measured using YOYO-1 Iodide counts/well, normalized to total cell count (n=3).

All data are expressed as mean ± SD, * p < 0.05, ** p < 0.01, *** p < 0.001. Two-tailed unpaired t-testing was used for analysis in figures a and b and two-way ANOVA testing was used for figures c, d, and e.

Induced ME1 Overexpression Abrogates xCT-inhibition sensitivity in vivo

Paired ME1-expressing and non-expressing cell lines were injected subcutaneously into nude mice. Daily ACXT-3102 treatment via oral gavage was initiated when tumors reached a volume of 100mm3. The vehicle (isotonic saline - 0.9% NaCl) was used as a control. Tumors were dosed using laboratory standard HD (60mg/kg) or LD (30mg/kg) dosing, as had been proven effective previously in xenografted tumor models.

ASPC1 ME1 KD tumors demonstrated significantly improved control compared to ASPC1 WT tumors (Fig 5a–b). additionally investigated this finding using RKO WT and RKO ME1 OE tumors. RKO WT tumors demonstrated significant sensitivity to ACXT-3102 with durable treatment response over 30 days of treatment using LD ACXT-3102 (30mg/kg) (Fig 5c). Similar 30mg/kg dosing of the RKO ME1 OE tumors demonstrated no tumor control (Fig 5d). Tumor growth reduction was demonstrated with HD, 60mg/kg, ACXT-3102 (Fig 5e). The persistence of the ME1 expression phenotype in the RKO ME1 OE tumors was confirmed after in vivo implantation, indicating the stability of the over-expression model (Fig 5f). Following 30 days of treatment, all mice were followed to their survival endpoint. A substantial extension of median survival of nearly three-fold (21 days v. 59 days) was seen in the treatment group compared to the control group among ME1-deficient RKO-WT tumors using LD ACXT-3102 (Fig 5g). RKO ME1 OE mice dosed with LD ACXT-3102 strategies experienced no improvement in survival compared to control mice (17 days v. 17 days). However, HD ACXT-3102 strategies were able to demonstrate improved survival in the ME1-expressing tumors, though with less robust results than the survival seen in ME1-null tumors (17 days v. 35 days) (Fig 5h). Overall, these findings demonstrate that ME1-null tumors demonstrate improved tumor control and survival after ACXT-3102 with lower dosing strategies as compared to ME1-expressing lines in vivo.

Figure 5: Induced ME1 Overexpression Abrogates xCT-inhibition sensitivity in vivo.

Figure 5:

a. Tumor growth curves of xenografted ASPC1 WT control (isotonic saline – 0.9% NaCl vehicle) (n=10) and 60 mg/kg ACXT-3102 (n=10) groups. Tumor volume generated every 2 days for 18 days.

b. Tumor growth curves of xenografted ASPC1 ME1 KO control (isotonic saline – 0.9% NaCl vehicle) (n=10) and 60mg/kg ACXT-3102 (n=10) groups. Tumor volume generated every 2 days for 18 days.

c. Tumor growth curves of xenografted RKO WT control (isotonic saline – 0.9% NaCl vehicle) (n=15) and 30 mg/kg ACXT-3102 (n=14) groups. Tumor volume generated every 3 days for 30 days.

d. Tumor growth curves of xenografted RKO ME1 OE control (isotonic saline – 0.9% NaCl vehicle) (n=12) and 30 mg/kg ACXT-3102 (n=15) groups. Tumor volume generated every 3 days for 30 days.

e. Tumor growth curves of xenografted RKO ME1 OE control (isotonic saline – 0.9% NaCl vehicle) (n=12) and 60 mg/kg ACXT-3102 (n=15) groups. Tumor volume generated every 3 days for 30 days.

f. Protein expression of ME1 in RKO and RKO ME1 OE tumors (n=5) after xenografting. Band density differences are plotted as ME1 area under the curve normalized to total protein in the capillary. All data are represented as mean ± SD. *** < 0.001.

g. Kaplan Meier overall survival curves of RKO WT xenografted mice demonstrating median survival in control (isotonic saline – 0.9% NaCl vehicle) (21 days) and 30mg/kg ACXT-3102 (59 days). Log-rank test p <0.001.

h. Kaplan Meier survival curves of RKO ME1 OE xenografted mice demonstrating median survival in control (isotonic saline – 0.9% NaCl vehicle) (17 days), 30mg/kg ACXT-3102 (17 days), and 60mg/kg ACXT-3102 (35 days). Log-rank test p <0.001.

Tumor growth curves are expressed as mean ± SEM, * p < 0.05, ** p < 0.01, *** p < 0.001. Two-way ANOVA testing was used for figures a-e, two-tailed unpaired t-testing was used for analysis in figure f, and Kalpan Meier survival curves were generated in figures g and h with log rank testing for significance.

Discussion

Cancer cells generate increased ROS due to enhanced cellular proliferation and must compensate for this ROS burden through increased expression and/or activity of key mediators of redox stress (41, 42). Increased ME1 expression has been linked to more aggressive cancer phenotypes(29–34). Despite the pro-survival benefits of ME1 overexpression for cancer cells, paradoxically synovial sarcoma demonstrates a natural ME1 deficiency. This deficiency may represent a new therapeutic opportunity by exploiting the alterations in the glutathione/thioredoxin axis at the level of cystine import (36). It was hypothesized that this ME1 deficiency might be identified within other cancer types beyond its described absence within synovial sarcoma. Within this work, it is demonstrated in both cancer cell lines as well as human tumor tissue, ME1 deficiency is found within a small number of sarcoma, lung, colon, and pancreatic cancers.

ME1 knockdowns have been previously found to possess disrupted cellular metabolism and increased sensitivity to metabolic stress(36,37). Work within our group has demonstrated that ME1-null cells increase baseline ROS and susceptibility to induction of redox stress (36). It was hypothesized that the increased sensitivity within ME1 deficient cells to redox stress would increase their sensitivity to xCT-inhibition-mediated cell death. xCT-mediated cystine uptake has been identified as critical for redox homeostasis and cancer cell survival(41, 42). Several studies have attempted to target this metabolic vulnerability of cancer cells with erastin; however, erastin has underperformed in clinical trials(16,17). In this study, xCT inhibition with ACXT-3102, a sigma-2/Erastin conjugate molecule, demonstrates considerable efficacy both in vitro and in vivo across multiple cancer subtypes. This sensitivity is mediated by ME1 expression status. The unique sensitivity of ME1 deficient cancer to inhibition of xCT suggests that ME1 absence could serve as a surrogate for ACXT-3102 response.

The findings described here demonstrate a method for identifying possible therapeutic targets for ACXT-3102 in multiple cancer subtypes beyond its described application in pancreatic cancer and sarcoma (20,21,36). These findings indicate that screening patients for genetic alterations in reactive oxygen handling genes, such as ME1, may be a rationale for the identification of patients who would demonstrate the greatest response to pharmacologic xCT inhibition or be candidates for dose reduction strategies. Recent work published by our research group indicates that the MAPK/ERK signaling axis may serve as a critical bypass mechanism facilitating escape from ACXT-3102-mediated inhibition (43). Given the established role of MAPK and ERK in the regulation of ME1, this may underlie the increase in ACXT-3102 sensitivity in ME1-deficient cancer types (33,44). Characterizing the relationship between this pathway and ME1 remains a focus of ongoing investigation. Currently, no ME1 inhibitors are being evaluated in clinical trials; however, it is predicted that a treatment strategy that combined an ME1 inhibitor with our novel chemotherapeutic agent would provide an effective therapeutic option for some types of cancer.

This study sought to explore additional tumor types that may be susceptible to ACXT-3102 and investigate the causes of variable sensitivity. This work primarily investigated the effect of ACXT-3102 in subcutaneous tumor models within nude mice. An immunocompetent KP2 model demonstrated similar findings to our immunocompromised models. However subcutaneous tissue models offer experimental limitations, including differences in immune signaling. ME1 may play a role in immune response, and further work should investigate how ME1-negative tumors differ in tumor-immune interactions. This work vastly expanded the range of tumor types which may show sensitivity to ACXT-3102 and identified a specific genetic subpopulation of ME1 negative tumors with unique sensitivity. Previous work from our research group has demonstrated differences in redox homeostasis within ME1 negative synovial sarcoma which may underly the increased sensitivity seen in other tumor subtypes as well, but requires additional confirmation within future studies.

This study is the first to characterize a subset of multiple cancers that demonstrate the absence of ME1. Due to the essential role ME1 plays in redox homeostasis, these cells reliably demonstrate increased sensitivity to xCT-inhibition-mediated cell death when compared to matched ME1-expressing cells. By exploiting the innate metabolic vulnerability of ME1-deficient tumors, ACXT-3102 may offer a treatment strategy for these tumors, and ME1 deficiency may be used as a biomarker for sensitivity to ACXT-3102. Further, additional strategies that combine ACXT-3102 with ME1 inhibition in ME1-expressing cancer types may improve its therapeutic efficacy in clinical trials.

Supplementary Material

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Figure 3: ME1 Deficiency Defines a Small Population of Solid Tumors and Sarcoma.

Figure 3:

a. Putative copy number alteration of ME1 among tumor samples of pancreatic cancer.

b. Putative copy number alteration of ME1 among tumor samples of colorectal cancer samples.

c. Putative copy number alteration of ME1 among tumor samples of lung cancer samples.

d. Putative copy number alteration of ME1 among tumor samples of sarcoma samples.

e. Kaplan Meier disease-specific survival curves of pancreatic cancer of the top 10% and bottom 10% of mRNA expression z-scores relative to all samples (log RNA Seq V2 RSEM).

f. Kaplan Meier disease-specific survival curves of colorectal cancer of the top 10% and bottom 10% of mRNA expression z-scores relative to all samples (log RNA Seq V2 RSEM).

g. Kaplan Meier disease-specific survival curves of lung cancer of the top 10% and bottom 10% of mRNA expression z-scores relative to all samples (log RNA Seq V2 RSEM).

h. Kaplan Meier disease-specific survival curves of sarcoma of the top 10% and bottom 10% of mRNA expression z-scores relative to all samples (log RNA Seq V2 RSEM).

Kaplan Meier survival curve analysis was performed for figures e-h. Log rank testing was performed for analysis of significance.

Disclosures:

D. Spitzer reports grants from NIH R01 CA276378 and R42CA239853 and personal fees from Accuronix therapeutics outside of the submitted work. W.G. Hawkins reports grants from NCI NIH R01 CA276378 and served on the Board of Directors for Accuronix during the conduct of the study.

B.A. Van Tine reports research grants from Polaris Pharmaceuticals and personal fees from Aadi Bioscience, Actua Capital Partners LLC, Advenchen Laboratories, Boxer Capital LLC, Crisper Therapeutics, Deciphera Pharmaceuticals Inc., Daiichi Sankyo Company, EcoR1 Capital LLC, Galapagos, Hinge Bio, Putnam, and Salarius Pharmaceuticals Inc. honoraria for educational talks from Beijing Biostar Pharmaceuticals, Co., LTD., Itertion Therapeutics, Oncology Education, and, Total Health Conference; participation on a data/safety advisory board for Apexigen, Daiichi Sankyo, Epizyme, Bayer US Medical Affairs, PTC Therapeutics, Aadi Biosciences, Boehringer Ingelheim, Agenus, Regeneron Pharmaceuticals, Advenchen, Curis, Syneos Health, Deciphera Pharmaceuticals, and Curtis; nonpaid service as a board member with Polaris; travel support from Adaptimmune LLC.

W.G. Hawkins, D. Spitzer, and B.A. Van Tine have patent 11175296 licensed to Accuronix.

Funding:

This work was supported by NCI T32CA009621) (K.E. Caldwell) and, The Washington University SPORE in Pancreas Cancer P50CA196510 (W.G. Hawkins).

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

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Data Availability Statement

The analyzed TCGA (https://portal.gdc.cancer.gov/), NCI-60 gene expression (https://dtp.cancer.gov/mtweb/browse.jsp), and CCLE data (https://sites.broadinstitute.org/ccle/datasets) within this article ainstire publicly available through respective online resources. For access to the other raw data files associated with figures within this paper, please contact the corresponding author. For access to the xCT inhibitor ACXT-3102, contact Accuronix Therapeutics (bkeller@accuronix.com) or by contacting Dr. William Hawkins (hawkinwi@musc.edu).

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