Development Of Resistance Research Articles

Метаболічний синдром: механізми розвитку та експериментальні моделі

Metabolic syndrome is a condition characterized by the presence of insulin resis­tance and the presence of two of the following risk factors: obesity, hyperlipidemia (hypertriglyceridemia, decreased high-density lipoprotein cholesterol), hypertension, or microalbuminuria. The multifactorial nature of metabolic syndrome makes it difficult to create an adequate experimental model that would best represent the entire spectrum of the pathophysiology of this condition. This review aims to summarize current literature data on the pathophysiological mechanisms of metabolic syndrome in the context of the development of insulin resistance, obesity, dyslipidemia, impaired glucose tolerance, and inflammation. The article also summarizes modern approaches to the induction of metabolic syndrome in rodents, among which dietary manipulation, genetic modifications, and the use of pharmaceuticals are the most common. As genetic models of metabolic syndrome, rodents with leptin or leptin receptor deficiency are most often used, in particular leptin-deficient mice (ob/ob), leptin receptor-deficient mice (db/db), Zucker obese rats (ZF), diabetic rats lines Zucker with obesity (ZDF) and others. Pharmaceutical drugs that can be used to induce metabolic syndrome include endogenous glucocorticoids and antipsychotic drugs. Several dietary manipulations are used to induce metabolic syndrome in laboratory animals. In particular, one type of diet or a combination of diets can be used, such as diets high in fructose, sucrose and fat, or a diet characterized by a high content of both fructose and fat or sucrose and fat. Manipulations with the composition of products consumed by experimental animals make it possible to simulate the development of metabolic syndrome, since the diet affects the metabolism of the entire body, and has a regulatory effect on hormones, glucose and lipid metabolism pathways.

Abstract B008: Therapy-protective peristromal niches mediate positive ecological interaction between therapy-sensitive and therapy-resistant cells, altering the evolutionary dynamics of acquired targeted therapy resistance in lung cancers

Abstract Pharmacological inhibitors of oncogenic signaling, such as drugs that target ALK kinase (ALKi) in ALK+ lung cancers, can induce strong and durable clinical responses. However, targeted therapies are not curative in advanced cancers and even strong responders eventually develop resistance. While therapy resistance is typically attributed to cell-intrinsic (epi)mutational characteristics of tumor cells, it can also result from interactions of tumor cells with the tumor microenvironment (TME). In contrast to the detailed elucidation of the molecular mediators of therapy resistance, our knowledge of the evolutionary dynamics underlying the resistance emergence, including the impact of TME, remains poorly defined. A key open question in understanding the evolutionary dynamics of therapy resistance is whether relapse results from an expansion of pre-existing therapy-resistant subpopulations or from a bona fide gradual evolutionary process. To elucidate this question, we integrated experimental mouse studies with mathematical modeling, interrogating therapeutic responses of therapy-naïve experimental xenograft ALK+ tumors, spiked-in with differentially labeled resistant cells. We found that ALKi treatment induced a rapid expansion of resistant cells, which drastically reduced the magnitude and duration of remissions. Surprisingly, our in silico analyses pointed to the existence of a strong positive ecological interaction between therapy-resistant and therapy-sensitive competitors. Using a combination of spatial analyses, experimental studies, and mathematical modeling, we found that this interaction was mediated by peristromal niches that protected therapy-sensitive tumor cells. Specifically, by limiting tumor regression, the therapy- induced expansion of resistant cells limited the loss of protective peristromal niches, while the subsequent resumption of tumor growth created new peristromal niches capable of supporting the survival and proliferation of therapy-sensitive cells. While this niche-mediated interaction had only a marginal impact on the transition from remission to relapse, enhanced survival of therapy-sensitive cells potentiated their ability to adapt to ALKi, leading to a higher diversity of resistance phenotypes. In summary, our study has revealed a new type of indirect, niche-mediated ecological interaction between therapy-resistant and therapy-sensitive cells. The rapid expansion of rare pre-existent resistant cells and fast transition to relapse challenge a common assumption of the pre-existence of therapy resistance. Finally, our results highlight the essentiality of TME considerations in understanding the evolutionary dynamic underlying the development of therapy resistance. Citation Format: Mark Robertson-Tessi, Bina Desai, Tatiana Miti, Pragya Kumar, Sagnik Yarlagadda, Rishi Shah, Robert Vander Velde, Daria Miroshnychenko, David Basanta, Alexander Anderson, Andriy Marusyk. Therapy-protective peristromal niches mediate positive ecological interaction between therapy-sensitive and therapy-resistant cells, altering the evolutionary dynamics of acquired targeted therapy resistance in lung cancers [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr B008.

Abstract B012: Understanding the role of VISTA in regulating T cell function and the therapeutic potential of blocking VISTA in triple negative breast cancer

Abstract Triple-negative breast cancer (TNBC) is the most aggressive and highly metastatic breast cancer subtype with limited effective treatment options. Immunotherapy with immune checkpoint inhibitors (ICIs) targeting checkpoint molecules have been widely used and have shown therapeutic efficacy in treating multiple malignancies in the last decade. In TNBC, ICI targeting PD-1, alone or in combination with chemotherapy has been approved for the treatment of patients with both early and advanced stage of the disease. Although, there has been significant clinical benefit achieved from anti-PD-1 and chemotherapy, treatment efficacy is often limited to a subgroup of patients. The limited response to ICIs has been attributed to the increased infiltration of immunosuppressive cells (including MDSCs, neutrophils and tumor-associated macrophages), more importantly, the upregulation of alternative immune checkpoint receptors/ligands that may further suppress cytotoxic T cells (CD8+ T cells) in the tumor microenvironment (TME). Therefore, it has been suggested that targeting other immune checkpoint molecules may be more effective in bolstering anti-tumor immune response. V- domain Ig suppressor of T-cell activation (VISTA) is one of the immune checkpoint molecules attracting increasing attention in the context of anti-tumor immunity due to its broad expression across various cancer types and increased expression upon development of immune checkpoint resistance. However, the role of VISTA in regulating the anti-tumor immune response and its therapeutic potential in TNBC remains unclear. In our study, we observed that VISTA is expressed in TNBC patients, predominantly in neutrophils and macrophages. In the Py230 murine breast cancer model, VISTA expression increased upon paclitaxel (PTX), anti-PD-L1 and paclitaxel combined with anti-PD-L1 treatment compared to the control group, suggesting its potential role as a resistance mechanism in sustaining or further inhibiting T cells. In the Py230 model, VISTA blockade increased the infiltration and activation of CD8+ T cells, as evidenced by the higher number of CD8+ T cells, increased CD69+CD8+ T cells, and Granzyme B production, indicating that VISTA blockade improved CD8+ T cells mediated anti-tumor immunity. To functionally test the role of VISTA, we stimulated CD8+ T cells and co-cultured them with naïve macrophages or tumor educated macrophages in the presence or absence of VISTA blocking antibody. Tumor educated macrophages showed increased immunosuppressive activity which was abrogated with VISTA blockade. Moreover, we found that the immunosuppressive effect of macrophages on T cell activation needs direct cell-cell interaction between VISTA on macrophages and T cells. In conclusion, this study shows the mechanism of action of VISTA in the regulation of T cells mediated anti-tumor immune response and provides the rationale for targeting VISTA in TNBC. Citation Format: Maidinaimu Abudula, Yuliana Astuti, Meirion Raymant Raymant, Vijay Sharma, Michael Schmid, Ainhoa Mielgo. Understanding the role of VISTA in regulating T cell function and the therapeutic potential of blocking VISTA in triple negative breast cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr B012.

Abstract A040: A novel stroma-mediated positive interaction between resistant and sensitive cells in non-small cell lung cancer facilitates drug resistance

Abstract Resistance to targeted therapies, particularly those inhibiting oncogenic tyrosine kinases (TKIs), presents a significant challenge in the treatment of advanced non-small cell lung cancer (NSCLC). Despite initial robust clinical responses, tumors often relapse due to the emergence of resistant cell populations. The origins of this resistance—whether it is pre-existing in a subset of tumor cells or arises de novo during treatment—remains a critical question in understanding and combating therapeutic failure. To investigate this, we developed in silico mathematical models that integrate both pre-existing and de novo resistance mechanisms within a framework that explicitly integrates the stromal niche. Our study focused on the evolutionary dynamics of NSCLC in response to therapy, using a hybrid agent-based spatial modeling framework (HAL) to simulate tumor behavior under treatment. These models were designed to simulate the complex interactions between resistant and sensitive tumor cells, mediated by the stroma, and to predict the timing of relapse based on these interactions. Our findings suggest that stroma-mediated interactions play a crucial role in the evolutionary dynamics of therapy responses, influencing the fitness and survival of both resistant and sensitive cells. Specifically, our models predict that pre-existing resistance is unlikely to be compatible with the long remission periods observed in a substantial subset of patients treated with advanced anaplastic lymphoma kinase (ALK) inhibitors. This conclusion was supported by the observed relapse times and volumetric tumor growth data from subsequent animal models. Moreover, our analyses highlight the importance of ecological factors within the tumor microenvironment in shaping the response to therapy. The spatial models we developed reveal that the stroma can foster positive interactions between resistant and sensitive cells, thereby accelerating the emergence of resistance. These insights underscore the need to consider the stromal niche when developing new therapeutic strategies and when interpreting the dynamics of drug resistance. In conclusion, our study provides new insights into the role of stroma in mediating resistance to TKIs in NSCLC. By combining mathematical modeling with experimental data, we have elucidated how stroma-mediated interactions between tumor cells can influence the evolution of resistance, challenging the assumption that pre-existing resistance alone drives relapses in TKI-treated patients. Our findings emphasize the need for adaptive therapeutic approaches that anticipate and disrupt these microenvironmental interactions to improve patient outcomes. Citation Format: Rishi M. Shah, Sagnik Yarlagadda, Mark Robertson-Tessi, Bina Desai, Tatiana Miti, Daria Miroshnychenko, David Basanta, Andriy Marusyk, Alexander Anderson. A novel stroma-mediated positive interaction between resistant and sensitive cells in non-small cell lung cancer facilitates drug resistance [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr A040.

Advanced lung adenocarcinoma with EGFR 19-del mutation transforms into squamous cell carcinoma after EGFR tyrosine kinase inhibitor treatment

In this editorial we comment on the article by Ji et al . We focus specifically on the EGFR tyrosine kinase inhibitor (EGFR-TKI) treatment and the development of drug resistance to EGFR-TKIs.

Molecular mechanism and application of emerging technologies in study of bacterial persisters.

Since the discovery of antibiotics, they have served as a potent weapon against bacterial infections; however, natural evolution has allowed bacteria to adapt and develop coping mechanisms, ultimately leading to the concerning escalation of multidrug resistance. Bacterial persisters are a subpopulation that can survive briefly under high concentrations of antibiotic treatment and resume growth after lethal stress. Importantly, bacterial persisters are thought to be a significant cause of ineffective antibiotic therapy and recurrent infections in clinical practice and are thought to contribute to the development of antibiotic resistance. Therefore, it is essential to elucidate the molecular mechanisms of persister formation and to develop precise medical strategies to combat persistent infections. However, there are many difficulties in studying persisters due to their small proportion in the microbiota and their non-heritable nature. In this review, we discuss the similarities and differences of antibiotic resistance, tolerance, persistence, and viable but non-culturable cells, summarize the molecular mechanisms that affect the formation of persisters, and outline the emerging technologies in the study of persisters.

Mutant prevention concentrations, in vitro resistance evolution dynamics, and mechanisms of resistance to imipenem and imipenem/relebactam in carbapenem-susceptible Klebsiella pneumoniae isolates showing ceftazidime/avibactam resistance.

Klebsiella pneumoniae carbapenemase (KPC) variants selected during ceftazidime/avibactam treatment usually develop susceptibility to carbapenems and carbapenem/β-lactamase inhibitors, such as imipenem and imipenem/relebactam. We analyzed imipenem and imipenem/relebactam single-step mutant frequencies, resistance development trajectories and differentially selected resistance mechanisms using two representative K. pneumoniae isolates that had developed ceftazidime/avibactam resistance during therapy (ST512/KPC-31 and ST258/KPC-35). Mutant frequencies and mutant prevention concentrations were measured in Mueller-Hinton agar plates containing incremental concentrations of imipenem or imipenem/relebactam. Resistance dynamics were determined after incubation for 7 days in 10 mL MH tubes containing incremental concentrations of each antibiotic or combination, up to 64 times their baseline MIC. Two colonies per strain from each experiment were characterized by antimicrobial susceptibility testing and whole genome sequencing. The impact of KPC variants identified in resistant mutants on β-lactam resistance was investigated by cloning experiments. Imipenem/relebactam suppressed the emergence of resistant mutants at lower concentrations than imipenem, slowed down resistance development for both strains, and the resulting mutants yielded lower MICs of carbapenems and carbapenem/β-lactamase inhibitors than those selected with imipenem alone. Characterization of resistant mutants revealed that imipenem resistance was mainly caused by inactivation of OmpK36 and mutations in the KPC β-lactamase. Imipenem/relebactam-resistant mutants also maintained OmpK36 alterations, but mutations in KPC were much less frequent compared with those selected with imipenem alone. Genetic and biochemical characterization of the KPC derivatives identified in the resistant mutants confirmed their role in carbapenem resistance. Our data positions imipenem/relebactam as an attractive therapeutic option for combating ceftazidime/avibactam-resistant KPC-producing K. pneumoniae infections.

Impairment of Glucose Uptake Induced by Elevated Intracellular Ca2+ in Hippocampal Neurons of Malignant Hyperthermia-Susceptible Mice

Malignant hyperthermia (MH) is a genetic disorder triggered by depolarizing muscle relaxants or halogenated inhalational anesthetics in genetically predisposed individuals who have a chronic elevated intracellular Ca2+ concentration ([Ca2+]i) in their muscle cells. We have reported that the muscle dysregulation of [Ca2+]i impairs glucose uptake, leading to the development of insulin resistance in two rodent experimental models. In this study, we simultaneously measured the [Ca2+]i and glucose uptake in single enzymatically isolated hippocampal pyramidal neurons from wild-type (WT) and MH-R163C mice. The [Ca2+]i was recorded using a Ca2+-selective microelectrode, and the glucose uptake was assessed utilizing the fluorescent glucose analog 2-NBDG. The MH-R163C hippocampal neurons exhibited elevated [Ca2+]i and impaired insulin-dependent glucose uptake compared with the WT neurons. Additionally, exposure to isoflurane exacerbated these deficiencies in the MH-R163C neurons, while the WT neurons remained unaffected. Lowering [Ca2+]i using a Ca2+-free solution, SAR7334, or dantrolene increased the glucose uptake in the MH-R163C neurons without significantly affecting the WT neurons. However, further reduction of the [Ca2+]i below the physiological level using BAPTA decreased the insulin-dependent glucose uptake in both genotypes. Furthermore, the homogenates of the MH-R163C hippocampal neurons showed an altered protein expression of the PI3K/Akt signaling pathway and GLUT4 compared with the WT mice. Our study demonstrated that the chronic elevation of [Ca2+]i was sufficient to compromise the insulin-dependent glucose uptake in the MH-R163C hippocampal neurons. Moreover, reducing the [Ca2+]i within a specific range (100–130 nM) could reverse insulin resistance, a hallmark of type 2 diabetes mellitus (T2D).

Harnessing AI for advancing pathogenic microbiology: a bibliometric and topic modeling approach

IntroductionThe integration of artificial intelligence (AI) in pathogenic microbiology has accelerated research and innovation. This study aims to explore the evolution and trends of AI applications in this domain, providing insights into how AI is transforming research and practice in pathogenic microbiology.MethodsWe employed bibliometric analysis and topic modeling to examine 27,420 publications from the Web of Science Core Collection, covering the period from 2010 to 2024. These methods enabled us to identify key trends, research areas, and the geographical distribution of research efforts.ResultsSince 2016, there has been an exponential increase in AI-related publications, with significant contributions from China and the USA. Our analysis identified eight major AI application areas: pathogen detection, antibiotic resistance prediction, transmission modeling, genomic analysis, therapeutic optimization, ecological profiling, vaccine development, and data management systems. Notably, we found significant lexical overlaps between these areas, especially between drug resistance and vaccine development, suggesting an interconnected research landscape.DiscussionAI is increasingly moving from laboratory research to clinical applications, enhancing hospital operations and public health strategies. It plays a vital role in optimizing pathogen detection, improving diagnostic speed, treatment efficacy, and disease control, particularly through advancements in rapid antibiotic susceptibility testing and COVID-19 vaccine development. This study highlights the current status, progress, and challenges of AI in pathogenic microbiology, guiding future research directions, resource allocation, and policy-making.

Abstract A004: RNA splicing alterations in the development of acquired MAPKi resistance in melanoma

Abstract The standard treatment for melanoma with a BRAF mutation involves Mitogen-Activated Protein Kinase inhibitors (MAPKi), which target the aberrant MAPK signaling pathway. Although patients initially respond well to this therapy, many develop acquired resistance over time. This resistance can be attributed to various altered signaling pathways, including the reactivation of the MAPK pathway, activation of alternative survival pathways like PI3K/PTEN/AKT, engagement of receptor tyrosine kinases (RTKs) such as PDGFRβ and EGFR, and developmental pathways. Despite extensive omics studies aimed at deciphering the mechanisms behind acquired resistance, the specific alterations within these pathways remain poorly understood. To gain further insights into acquired MAPKi resistance in melanoma, we explored the role of RNA splicing events by analyzing publicly available datasets of pre- and post-MAPKi treated melanoma from patient-derived cell lines and in vitro studies using PDX models. We investigated differential transcript usage (DTU) to detect specific splice variants altered during the development of resistance. Our analysis revealed significant transcript alterations during on-treatment that reverted to baseline states once resistance was established, underscoring the dynamic and adaptive nature of these changes. Genes with DTU were enriched in pathways related to MAPKi resistance, such as the MAPKi signaling pathway, PI3K/AKT pathway, and signaling by RTKs. Furthermore, the DTU-centered analysis provided better insights into MAPKi resistance mechanisms compared to standard differential gene expression (DEG) analysis, with DTUs showing higher enrichment scores in MAPKi resistance-related pathways. Further, identifying developmental splicing signatures highlights the complexity of MAPKi resistance, as it reveals significant upregulation of transcripts associated with embryonic melanoblast stem cells (MSCs) among the altered transcripts in on-treatment cell lines. This reprogramming through RNA splicing may confer an adaptive advantage, enabling melanoma cells to revert to a more plastic, stem-like state, with developmental splicing events playing a crucial role in the adaptive response to MAPKi therapy. Next, using a regulatory model based on the expression of splicing factors (SFs), we accurately predicted transcript alterations in on-treatment samples and identified key SFs. Our study highlights the crucial role of RNA splicing in the adaptive response of melanoma cells to MAPKi treatment. These insights pave the way for future research and therapeutic strategies focusing on RNA splicing to combat drug resistance in cancer. Citation Format: Sumit Mukherjee, Arashdeep Singh, Hyunjeong Joo, Sumeet Patiyal, Hyungsoo Kim, Lipika R. Pal, Kun Wang, Chi-Ping Day, Ze’ev A Ronai, Eytan Ruppin, Sridhar Hannenhalli. RNA splicing alterations in the development of acquired MAPKi resistance in melanoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: RNAs as Drivers, Targets, and Therapeutics in Cancer; 2024 Nov 14-17; Bellevue, Washington. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(11_Suppl):Abstract nr A004.

Integrative transcriptomic analysis identifies emetine as a promising candidate for overcoming acquired resistance to ALK inhibitors in lung cancer.

Anaplastic lymphoma kinase (ALK; also known as ALK tyrosine kinase receptor) inhibitors (ALKi) are effective in treating lung cancer patients with chromosomal rearrangement of ALK. However, continuous treatment with ALKis invariably leads to acquired resistance in cancer cells. In this study, we propose an efficient strategy to suppress ALKi resistance through a meta-analysis of transcriptome data from various cell models of acquired resistance to ALKis. We systematically identified gene signatures that consistently showed altered expression during the development of resistance and conducted computational drug screening using these signatures. We identified emetine as a promising candidate compound to inhibit the growth of ALKi-resistant cells. We demonstrated that emetine exhibited effectiveness in inhibiting the growth of ALKi-resistant cells, and further interpreted its impact on the resistant signatures through drug-induced RNA-sequencing data. Our transcriptome-guided systematic approach paves the way for efficient drug discovery to overcome acquired resistance to cancer therapy.

An antimicrobial drug recommender system using MALDI-TOF MS and dual-branch neural networks.

Timely and effective use of antimicrobial drugs can improve patient outcomes, as well as help safeguard against resistance development. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is currently routinely used in clinical diagnostics for rapid species identification. Mining additional data from said spectra in the form of antimicrobial resistance (AMR) profiles is, therefore, highly promising. Such AMR profiles could serve as a drop-in solution for drastically improving treatment efficiency, effectiveness, and costs. This study endeavors to develop the first machine learning models capable of predicting AMR profiles for the whole repertoire of species and drugs encountered in clinical microbiology. The resulting models can be interpreted as drug recommender systems for infectious diseases. We find that our dual-branch method delivers considerably higher performance compared to previous approaches. In addition, experiments show that the models can be efficiently fine-tuned to data from other clinical laboratories. MALDI-TOF-based AMR recommender systems can, hence, greatly extend the value of MALDI-TOF MS for clinical diagnostics. All code supporting this study is distributed on PyPI and is packaged at https://github.com/gdewael/maldi-nn.

Cytogenetic characterization of EPSPS gene amplification in glyphosate-resistant Hordeum glaucum and Bromus diandrus from Australia.

As a result of extensive selection, two polyploid grass weeds, Hordeum glaucum (northern barley grass; 2n = 4x = 28) and Bromus diandrus (ripgut brome; 2n = 8x = 56), have evolved resistance to glyphosate, in Australia. Previous research suggested amplification of 5-enolpyruvylshikimate-3-Phosphate synthase (EPSPS) gene confers resistance in these two weed species. The objective of this research was to investigate the genomic organization of the EPSPS gene in these two species through molecular cytogenetic analyses of fluorescence in situ hybridization (FISH) to understand possible mechanism of amplification of this gene. EPSPS copy number of H. glaucum and B. diandrus plants was estimated via quantitative polymerase chain reaction. The susceptible plants of both species had one copy of EPSPS, whereas the resistant plants of H. glaucum and B. diandrus had 14-17 and 16-32 copies, respectively. FISH analysis of glyphosate-susceptible (Hg-RWS) H. glaucum, revealed four faint signals of the EPSPS gene in two pairs of homologous chromosomes, at the telomeric region. The glyphosate-resistant H. glaucum (Hg-YP1) also showed amplification of EPSPS gene at telomeric regions in two pairs of homologous chromosomes, but the signals were brighter and appeared as cluster of EPSPS genes. Similarly, the glyphosate-susceptible B. diandrus (Bd-S) plants showed faint signals of EPSPS gene on two homologous chromosomes, at the telomeric position. However, samples of two glyphosate-resistant, B. diandrus, Bd-SA988 and Bd-Vic showed much brighter hybridization signals of EPSPS gene, located at the telomere on two homologous chromosomes, suggesting an increase in EPSPS gene copies at this position. Overall, unequal crossover during meiosis may have triggered the initial EPSPS gene duplication sparking the evolution of glyphosate resistance.

Light-Activable Inhibitor Overcomes Antimicrobial Resistance and Regulates Antibacterial Activity.

Overuse of antibiotics and the widespread environmental accumulation of antibiotics drive the evolution and spread of antimicrobial resistance, posing a significant global health threat by reducing the effectiveness of available treatments and increasing the risk of untreatable infections. We designed and synthesized PhoPS, a novel photocaged β-lactamase inhibitor, which incorporates the pharmacophore of sulbactam caged with a photoresponsive moiety of o-nitrobiphenyl derivative. Experimental results demonstrate its rapid photoactivation, good stability in solution, and light-activated β-lactamase inhibition in vitro. PhoPS displays synergy with a cephalosporin antibiotic cefoperazone against both susceptible and resistant strains of Escherichia coli and biofilm formation. Additionally, PhoPS treatment demonstrates the potential to suppress the development of resistance in E. coli. These findings suggest that PhoPS offers a promising approach for restoring the efficacy of existing antibiotics and mitigating the emergence of AMR.

Abstract A009: Increasing the Sensitivity to sorafenib of Resistant Hepatocellular Carcinoma Cells with Bovine Lactoferrin through Ferroptosis

Abstract Hepatocellular carcinoma (HCC) remains one of the most lethal cancers worldwide, with a high mortality rate largely due to late-stage diagnosis and the limited efficacy of current therapeutic options. Sorafenib is one of the first-line therapies for advanced HCC. However, its effectiveness is often compromised by the development of drug resistance, significantly limiting its long-term therapeutic potential. This limitation has driven extensive research into alternative therapeutic strategies that can target this resistance, thereby improving the clinical outcomes of patients. Bovine Lf (bLf), which is functionally similar to human Lf (hLf), is safe for human use and has demonstrated anticancer properties, including synergistic effects with chemotherapy. In our study, we explored the role of bovine lactoferrin (bLf) as a potential agent to increase the sensitivity of sorafenib-resistant HCC cells. We developed sorafenib-resistant HCC cell lines through repeated exposure to the drug, with IC50 calculations confirming their increased drug tolerance. These resistant cells were subsequently treated with a combination of sorafenib and bLf. This combination significantly reduced cell viability, with a sorafenib IC50 below the level of the parental sensitive cell line. RNA-seq data revealed significant changes in gene expression profiles, highlighting the differential expression of both mRNAs and long noncoding RNAs (lncRNAs) among resistant, nonresistant, and resistant bLf-treated cells. Further insights were gained through gene set enrichment analysis (GSEA), which identified ferroptosis as a critical pathway significantly enriched in resistant cells treated with bLf and sorafenib vs sorafenib treatment only. Among the differentially expressed lncRNAs, LINC02015 was the most upregulated in resistant cells, and the most downregulated in resistant cells treated with bLf and sorafenib. This lncRNA has emerged as a potentially influencing ferroptosis in other pathologies. Notably, LINC02015 was found to be correlated with HMOX1, a gene with established roles in oxidative stress and iron metabolism. Based on these findings, we conducted a more focused analysis of the ATF3/HMOX1/GPX4 axis, a signaling pathway previously implicated in the regulation of ferroptosis and cellular responses to oxidative stress. Our data suggest that this axis could play a role in modulating lactoferrin-induced ferroptosis in the context of sorafenib resistance. In conclusion, our study provides compelling evidence that bovine lactoferrin (bLf) has the potential to serve as a novel therapeutic agent for overcoming sorafenib resistance in hepatocellular carcinoma by inducing ferroptosis. By potentially targeting the LINC02015/ATF3/HMOX1/GPX4 axis, bLf not only enhances the efficacy of sorafenib but also opens new avenues for the development of combinatory treatment strategies aimed at improving outcomes for HCC patients. Citation Format: Hury V Hernandez-Galdamez, Mireya De la Garza, Karla Rubio, Ivonne Ramirez-Diaz, Josue Guzman-Linares, Theresa Azcarraga Acosta, Guillermo Barreto, stefan günther, Teresita del niño Jesus Flores-Tellez, Mario A Aguilar-Chaparro, Pablo Muriel de la torre, Magda Reyes-López, Saul Villa-Treviño, Carolina Piña-Vazquez. Increasing the Sensitivity to sorafenib of Resistant Hepatocellular Carcinoma Cells with Bovine Lactoferrin through Ferroptosis [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: RNAs as Drivers, Targets, and Therapeutics in Cancer; 2024 Nov 14-17; Bellevue, Washington. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(11_Suppl):Abstract nr A009.

Mediator kinase inhibitors suppress triple-negative breast cancer growth and extend tumor suppression by mTOR and AKT inhibitors

Triple-negative breast cancers (TNBC) are treated primarily by chemotherapy and lack clinically validated therapeutic targets. In particular, inhibitors of the PI3K/AKT/mTOR pathway, abnormally activated in many breast cancers, failed to achieve clinical efficacy in TNBC due to the development of adaptive drug resistance, which is largely driven by the transcriptomic plasticity of TNBC. Expression of CDK8/19 Mediator kinases that control transcriptional reprogramming correlates with relapse-free survival and treatment failure in breast cancer patients, including TNBC. We now investigated how CDK8/19 inhibitors affect the growth of TNBC tumors and their response to mTOR and AKT inhibitors. In contrast to the effects of most anticancer drugs, all the tested human TNBC models (including patient-derived xenografts) responded to CDK8/19 inhibitors in vivo even when they did not respond in vitro. Furthermore, CDK8/19 inhibition extended the host survival of established lung metastases in a murine TNBC model, where the primary tumors were not significantly affected. CDK8/19 inhibitors synergized with an mTORC1 inhibitor everolimus and a pan-AKT inhibitor capivasertib in vitro and strongly potentiated these drugs in long-term in vivo studies. Transcriptomic analysis of tumors that responded or became adapted to everolimus revealed that drug adaptation in vivo was associated with major transcriptional changes in both tumor and stromal cells. Combining everolimus with a CDK8/19 inhibitor counteracted many of these changes and induced combination-specific effects on the expression of multiple genes that affect tumor growth. These results warrant the exploration of CDK8/19 Mediator kinase inhibitors as a new type of drugs for TNBC therapy.

Early continuous glucose monitoring-derived glycemic patterns are associated with subsequent insulin resistance and gestational diabetes mellitus development during pregnancy.

Gestational diabetes mellitus (GDM) and insulin resistance (IR) increase the risk of adverse pregnancy outcomes. We aimed to examine the relationship of interstitial glucose assessed by continuous glucose monitoring (CGM) at early gestation, and the subsequent development of IR and GDM, and to determine 24-h interstitial glucose centile distributions in women with normal (non-IR and non-GDM) and suboptimal glycemic status (IR and/or GDM). CGM measurements were taken for 3-10days at 18-24weeks' gestation, followed by fasting serum insulin and oral glucose tolerance testing at 24-28weeks' gestation. IR and GDM were determined by the updated Homeostasis Model Assessment of IR score of ≥ 1.22 and 2013 World Health Organization criteria, respectively. Risks of IR and GDM were estimated using modified Poisson models, and hourly interstitial glucose centiles determined using Generalized Additive Models for Location, Scale and Shape. This prospective cohort study involved 167 pregnant women in Singapore, with a mean age of 31.7years, body mass index of 22.9kg/m2, and gestation of 20.3weeks. 25% of women exhibited IR and 18% developed GDM. After confounders adjustment, women with suboptimal glycemic control, indicated by higher mean daily glucose (risk ratio 1.42; 95% confidence interval 1.16, 1.73), glucose management indicator (1.08; 1.03, 1.12), and J-index (1.04; 1.02, 1.06), as well as those with greater glycemic variability, indicated by higher standard deviation (1.69; 1.37, 2.09), coefficient of variation (1.03; 1.00, 1.06), and mean amplitude of glycemic excursions (1.4; 1.14, 1.35) derived from CGM in early gestation were associated with higher risks of developing IR in later gestation. These associations were similarly observed for the development of GDM. Centile curves showed that, compared to those with normal glycemic status, women with suboptimal glycemic status had higher glucose levels, with greater fluctuations throughout 24h. In pregnant women who subsequently developed IR and GDM, interstitial glucose levels assessed by CGM were elevated and varied greatly. This supports the potential use of CGM to screen for glycemic changes early in pregnancy.

Incipient resistance of the African maize stemborer, Busseola fusca (Lepidoptera: Noctuidae) to Cry2Ab2 maize in South Africa.

Resistance of Busseola fusca (Lepidoptera: Noctuidae) to Cry1Ab was documented in 2006, 7 years after the first cultivation of MON 810 in South Africa. This was mitigated by introducing a second-generation Bacillus thuringiensis (Bt) maize (MON 89034), which contains the Cry1A.105 and Cry2Ab2 proteins. The first reports of B. fusca infestations of MON 89034 maize came in the KwaZulu-Natal province (2017-2018 cropping season), followed by reports in the Mpumalanga province (2022-2023 season). Here we report results of artificial diet- and plant-based laboratory assays to assess the susceptibility of B. fusca populations to the Bt proteins in MON 89034. Larvae were sampled from nine locations which included three where greater than expected injury due to B. fusca had been reported to MON 89034. Larval mortality in assays with diet-incorporated Cry2Ab2 protein was 100% for all except the three problem populations, showing that the Cry2Ab2 protein in MON 89034 is highly efficacious against B. fusca. In contrast, assays with Cry1A.105 did not cause significant mortality in any of the B. fusca populations including larvae from a susceptible reference. Larval survival on leaf tissue of MON 89034 maize after 7 days ranged between 75% and 91% for the three problematic B. fusca populations, compared to 0.4% to 9.6% for the five other populations. Therefore, MON 89034 is effectively a single-mode-of-action technology against B. fusca and carries an inherent high risk for the evolution of resistance. This study shows that the three B. fusca populations collected from locations with greater than expected damage to MON 89034 have resistance to the Cry2Ab2 protein and therefore to MON 89034 maize. This research emphasizes the importance of resistance monitoring and implementation of effective insect resistance management tactics. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Abstract B026: Identification of small RNAs that function as multi-target therapeutics and as tools for novel target discovery in prostate cancer

Abstract Introduction: A major contributor to prostate cancer (PCa) mortality is the development of resistance to single agents targeting androgen receptor (AR) signaling. We have developed an unbiased shRNA-based negative selection screen to identify small RNAs (shRNAs and siRNAs) that inhibit PCa cell growth and survival (toxic sRNAs). Computational analyses of the most toxic sRNAs identified revealed that each can simultaneously target multiple known AR-coregulatory mRNAs. AR-coregulators modulate AR transcriptional response and are essential to AR signaling. We have proposed that the identified toxic sRNAs inhibit androgen signaling through seed-mediated targeting of androgen regulatory gene networks, resulting in inhibition of cell growth and viability. The goal of the current studies was to begin to analyze the broad therapeutic potential of these toxic sRNAs for PCa. We focused on analyzing i) their potential to thwart cell growth and/or viability when delivered to preclinical models of PCa, and ii) the targetome of the toxic sRNAs as a mean to uncover novel AR-coregulators that represent a targetable axis within androgen signaling. Methods: i) cationic lipid nanoparticles (LNPs), that efficiently deliver the toxic siRNAs to PCa cell lines, were used to deliver toxic siRNAs to organoids grown from PCa patient derived xenografts (PDX) models. 3D image analysis using the Ominer® software package was used to determine organoid count and size, the numbers of nuclei per organoid, and the fraction of dead cells to discriminate between cytotoxic and cytostatic effects. ii) to identify novel AR-coregulators, toxic siRNA direct targets were identified by sequencing of transcripts captured by biotinylated toxic siRNAs. Directly bound targets, were subjected to pathway enrichment and network analysis followed by identification of hub genes (Cytoscape). The effect of individually silencing potential AR-coregulators on the expression of androgen responsive genes was analyzed using Nanostring. Results and Conclusions: i) The effect of the toxic siRNAs on growth and viability of the PCa PDX-derived organoids will be presented and discussed as compelling preliminary data for therapeutic testing in more complex pre-clinical models (PCa PDXs). ii) Based on bioinformatic and downstream analysis of the direct targets of two toxic siRNAs, we selected 12 potentially novel AR- coregulators, with varied known functions including chromatin modifiers, transcriptional regulators, etc. Silencing of several of these potential AR-coregulators significantly affect expression of numerous AR responsive genes. Future experiments will focus on analyzing their interaction and functional association with the AR (i.e. effect of AR binding to chromatin). In conclusion, we have developed an assay that allowed the identification of toxic sRNAs for PCa cells and demonstrated their potential as therapeutics and as a tool for discovery of potential novel targets for PCa. Citation Format: Joshua M Corbin, Hamilton Young, Stefan Wilhelm, Adam S Asch, Chao Xu, Maria J Ruiz Echevarria. Identification of small RNAs that function as multi-target therapeutics and as tools for novel target discovery in prostate cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: RNAs as Drivers, Targets, and Therapeutics in Cancer; 2024 Nov 14-17; Bellevue, Washington. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(11_Suppl):Abstract nr B026.

Response of Palmer Amaranth Accessions in South Carolina to Selected Herbicides

Abstract Palmer amaranth resistant to dicamba, glufosinate, and protoporphyrinogen oxidase inhibitors has been documented in several southern states. With extensive use of these and other herbicides in South Carolina, a survey was initiated in the fall of 2020 and repeated in the fall of 2021 and 2022 to determine the relative response of Palmer amaranth accessions to selected preemergence (PRE) and postemergence (POST) herbicides. A greenhouse screening experiment was conducted where accessions were treated with three PRE (atrazine, s-metolachlor, and isoxaflutole) and six POST (glyphosate, thifensulfuron-methyl, fomesafen, glufosinate, dicamba, 2,4-D) herbicides at the 1× and 2× use rates. Herbicides were applied shortly after planting (PRE) or at the 2 to 4 leaf growth stage (POST). Percent survival was evaluated 5-14 days after application depending on herbicide activity. Sensitivity to atrazine PRE was lower for 49 and 33 accessions out of 115 to atrazine PRE at the 1× and 2× rate, respectively. Most of the accessions (90%) were controlled by isoxaflutole PRE at the 1× rate. Response to S-metolachlor PRE indicated 34% of the Palmer amaranth accessions survived the 1× rate (>60% survival). There were 11 accessions with reduced sensitivity to fomesafen POST; however, these percentages were not different from the 0% survivor group. Glyphosate POST at the 1× rate did not control most accessions (79%). Palmer amaranth response to thifensulfuron-methyl POST varied across the accessions, with only 36 and 28% controlled at the 1× and 2×rate, respectively. All accessions were controlled by 2,4-D, dicamba, or glufosinate POST. Palmer amaranth accessions from this survey exhibited reduced susceptibility to several herbicides commonly used in agronomic crops in South Carolina. Therefore, growers should continue to utilize multiple management tactics to minimize the evolution of herbicide resistance in Palmer amaranth in South Carolina.