Citations

Abstract Introduction: Autophagy pathway activation and upregulation is an important mechanism for cancer cell survival upon exposure to chemotherapeutic agents. LC3, a ubiquitin-like protein, plays a key role in the regulation of cargo selection and autophagosome formation. Given small molecule inhibitors have not been well developed to target LC3, we aim to design and synthesize an LC3 binder and evaluate its activity in the inhibition of autophagy pathway in cancer cells. Methods: The crystal structure of LC3 and p62 complex (PDB: 2ZJD) was used to assist our design of helical sulfonyl-γ-AApeptides to the LC3 interacting region of p62. The peptidomimetics were synthesized on the solid phase and purified by HPLC. We used fluorescent polarization assay to assess the binding affinity of the peptidomimetics to LC3. We then utilized an LC3 HiBiT reporter cell line (U2OS) from Promega, which was engineered to have a fused human LC3-HiBiT with a HaloTag in between to study the effect of the lead LC3 binder on autophagic flux. In addition, confocal microscopy enabled direction visualization of the colocalization of FITC-labeled LC3 binder with LC3 and lysosome, respectively. Cytotoxicity of LC3 binder was evaluated in colorectal cancer cell line HCT116. Results: We designed and synthesized 6 helical sulfonyl-γ-AApeptides (JC1-6) to target the binding interface of LC3 and p62. These peptidomimetic compounds were designed to retain essential LC3 and p62 interactions at the W and L regions and yet have different functional groups on the helical scaffold. Compounds JC1 and JC6 have binding affinity of Kd 280 nM and 150 nM with LC3, respectively. FITC-labelled JC6 was able to penetrate U2OS and HCT116 cells. It had intracytoplasmic colocalization with not only lysosomes but also LC3 aggregates. Direct visualization of intracytoplasmic LC3 aggregates showed that JC6 at 50 µM significantly inhibited the autophagic degradation of LC3 aggregates. This effect was augmented by the presence of 2 µM autophagy activator PP242. Lastly, JC6 demonstrated cytotoxicity with IC50 approximately 50 µM in HCT116 cells bearing baseline autophagy activation compared to lack of cytotoxicity in U2OS cells with no baseline autophagy activity. Conclusion: We designed and synthesized novel helical sulfonyl-γ-AApeptide LC3 binders. With the ability of cellular penetration, they demonstrated inhibition of autophagic flux and preliminary cytotoxicity in cancer cells. Future studies may focus on structural activity relationship and further evaluation of its mechanisms of action in cancer cells. Citation Format: Mentalla Mahmoud, Jianyu Chen, Jianfeng Cai, Hao Xie. Discovery of helical sulfonyl-γ-AApeptides targeting LC3 in cancer cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3101.

The radiotracer 1‐(2‐[18F]fluoroethyl)‐L‐tryptophan (L‐[18F]FETrp or [18F]FETrp) is a substrate of indoleamine 2,3‐dioxygenase, the initial and key enzyme of the kynurenine pathway associated with tumoral immune resistance. In preclinical positron emission tomography studies, [18F]FETrp is highly accumulated in a wide range of primary and metastatic cancers, such as lung cancer, prostate cancer, and gliomas. However, the clinical translation of this radiotracer into the first‐in‐human trial has not been reported, partially due to its racemization during radiofluorination which renders the purification of the final product challenging. However, efficient purification is essential for human studies in order to assure radiochemical and enantiomeric purity. In this work, we report a fully automated radiosynthesis of [18F]FETrp on a Synthra RNPlus research module, including a one‐pot two steps radiosynthesis, dual independent chiral and reverse‐phase semipreparative high‐performance liquid chromatography purifications, and solid‐phase extraction‐assisted formulation. The presented approach has led to its Investigational New Drug application and approval that allows the testing of this tracer in humans.

AbstractIt has been challenging to target mutant KRAS (mKRAS) in colorectal cancer (CRC) and other malignancies. Recent efforts have focused on developing inhibitors blocking molecules essential for KRAS activity. In this regard, SOS1 inhibition has arisen as an attractive approach for mKRAS CRC given its essential role as a guanine nucleotide exchange factor for this GTPase. Here, we demonstrated the translational value of SOS1 blockade in mKRAS CRC. We used CRC patient‐derived organoids (PDOs) as preclinical models to evaluate their sensitivity to SOS1 inhibitor BI3406. A combination of in silico analyses and wet lab techniques was utilized to define potential predictive markers for SOS1 sensitivity and potential mechanisms of resistance in CRC. RNA‐seq analysis of CRC PDOs revealed two groups of CRC PDOs with differential sensitivities to SOS1 inhibitor BI3406. The resistant group was enriched in gene sets involving cholesterol homeostasis, epithelial−mesenchymal transition, and TNF‐α/NFκB signaling. Expression analysis identified a significant correlation between SOS1 and SOS2 mRNA levels (Spearman's ρ 0.56, p < 0.001). SOS1/2 protein expression was universally present with heterogeneous patterns in CRC cells but only minimal to none in surrounding nonmalignant cells. Only SOS1 protein expression was associated with worse survival in patients with RAS/RAF mutant CRC (p = 0.04). We also found that SOS1/SOS2 protein expression ratio >1 by immunohistochemistry (p = 0.03) instead of KRAS mutation (p = 1) was a better predictive marker to BI3406 sensitivity of CRC PDOs, concordant with the significant positive correlation between SOS1/SOS2 protein expression ratio and SOS1 dependency. Finally, we showed that GTP‐bound RAS level underwent rebound even in BI3406‐sensitive PDOs with no change of KRAS downstream effector genes, thus suggesting upregulation of guanine nucleotide exchange factor as potential cellular adaptation mechanisms to SOS1 inhibition. Taken together, our results show that high SOS1/SOS2 protein expression ratio predicts sensitivity to SOS1 inhibition and support further clinical development of SOS1‐targeting agents in CRC.

Abstract Purpose: Men with metastatic castration-resistant prostate cancer (mCRPC) frequently develop resistance to androgen receptor signaling inhibitor (ARSI) treatment; therefore, new therapies are needed. Trophoblastic cell-surface antigen (TROP-2) is a transmembrane protein identified in prostate cancer and overexpressed in multiple malignancies. TROP-2 is a therapeutic target for antibody–drug conjugates (ADC). Experimental Design: TROP-2 gene (TACSTD2) expression and markers of treatment resistance from prostate biopsies were analyzed using data from four previously curated cohorts of mCRPC (n = 634) and the PROMOTE study (dbGaP accession phs001141.v1.p1, n = 88). EPCAM or TROP-2–positive circulating tumor cells (CTC) were captured from peripheral blood for comparison of protein (n = 15) and gene expression signatures of treatment resistance (n = 40). We assessed the efficacy of TROP-2–targeting agents in a mouse xenograft model generated from prostate cancer cell lines. Results: We demonstrated that TACSTD2 is expressed in mCRPC from luminal and basal tumors but at lower levels in patients with neuroendocrine prostate cancer. Patients previously treated with ARSI showed no significant difference in TACSTD2 expression, whereas patients with detectable AR-V7 expression showed increased expression. We observed that TROP-2 can serve as a cell surface target for isolating CTCs, which may serve as a predictive biomarker for ADCs. We also demonstrated that prostate cancer cell line xenografts can be targeted specifically by labeled anti–TROP-2 agents in vivo. Conclusions: These results support further studies on TROP-2 as a therapeutic and diagnostic target for mCRPC.

Radiation-induced brain injury (RIBI) is a debilitating sequela after radiotherapy to treat head and neck cancer, and 20 to 30% of patients with RIBI fail to respond to or have contraindications to the first-line treatments of bevacizumab and corticosteroids. Here, we reported a Simon’s minmax two-stage, single-arm, phase 2 clinical trial (NCT03208413) to assess the efficacy of thalidomide in patients with RIBI who were unresponsive to or had contraindications to bevacizumab and corticosteroid therapies. The trial met its primary endpoint, with 27 of 58 patients enrolled showing ≥25% reduction in the volume of cerebral edema on fluid-attenuated inversion recovery–magnetic resonance imaging (FLAIR-MRI) after treatment (overall response rate, 46.6%; 95% CI, 33.3 to 60.1%). Twenty-five (43.1%) patients demonstrated a clinical improvement based on the Late Effects Normal Tissues–Subjective, Objective, Management, Analytic (LENT/SOMA) scale, and 36 (62.1%) experienced cognitive improvement based on the Montreal Cognitive Assessment (MoCA) scores. In a mouse model of RIBI, thalidomide restored the blood-brain barrier and cerebral perfusion, which were attributed to the functional rescue of pericytes secondary to elevation of platelet-derived growth factor receptor β (PDGFRβ) expression by thalidomide. Our data thus demonstrate the therapeutic potential of thalidomide for the treatment of radiation-induced cerebral vasculature impairment.

Abstract Twenty-three class I DNA sequences, representing alleles of the H-2K, D, and L loci, were analyzed to assess patterns of nucleotide and amino acid diversity. Comparisons of the allelic and nonallelic sequences revealed locus specificity in regions encoding the leader peptides and the carboxyl-terminal segments of the Ag presenting molecules. Analyses focusing on the sequences that determine the Ag binding domains revealed weak or insignificant allelic associations, a finding that is in sharp contrast to previously observed relationships among the homologous human sequences. The amino acid positions exhibiting high diversity in the encoded glycoproteins in both mice and humans are localized primarily to the Ag binding site. In the mouse, diverse amino acids were positioned similarly in the K and D/L glycoproteins, although in humans, the A and B glycoproteins exhibit distinctive differences in their locations within the Ag binding site. The absence of locus specificity among the sequences that determine the Ag binding domains of the mouse is consistent with the hypothesis that ectopic gene conversion leads to interlocus exchange of class I sequences. Comparable interlocus exchanges among human class I genes have not played a similar role in shaping human A and B sequences. The basis of this difference between mice and humans is not clear. The nature of amino acid substitutions distinguishing class I loci in mice and humans are comparable, and the role of natural selection in determining diversity appears to be similar in the two species.

PurposeTo improve calibrationless parallel imaging using pre‐learned subspaces of coil sensitivity functions.Theory and MethodsA subspace‐based joint sensitivity estimation and image reconstruction method was developed for improved parallel imaging with no calibration data. Specifically, we proposed to use a probabilistic subspace model to capture prior information of the coil sensitivity functions from previous scans acquired using the same receiver system. Both the subspace basis and coefficient distributions were learned from a small set of training data. The learned subspace model was then incorporated into the regularized reconstruction formalism that includes a sparsity prior. The nonlinear optimization problem was solved using alternating minimization algorithm. Public fastMRI brain dataset was retrospectively undersampled by different schemes for performance evaluation of the proposed method.ResultsWith no calibration data, the proposed method consistently produced the most accurate coil sensitivity estimation and highest quality image reconstructions at all acceleration factors tested in comparison with state‐of‐the‐art methods including JSENSE, DeepSENSE, P‐LORAKS, and Sparse BLIP. Our results are comparable to or even better than those from SparseSENSE, which used calibration data for sensitivity estimation. The work also demonstrated that the probabilistic subspace model learned from T2w data can be generalized to aiding the reconstruction of FLAIR data acquired from the same receiver system.ConclusionA subspace‐based method named JSENSE‐Pro has been proposed for accelerated parallel imaging without the acquisition of companion calibration data. The method is expected to further enhance the practical utility of parallel imaging, especially in applications where calibration data acquisition is not desirable or limited.