Exosomes derived from tumor adjacent fibroblasts efficiently target pancreatic tumors.

The application of extracellular vesicles, particularly exosomes (EXs), is rapidly expanding in the field of medicine, owing to their remarkable properties as natural carriers of biological cargo. This study investigates utilization of exosomes derived from stromal cells of tumor adjacent normal tissues (NAF-EXs) for personalized medicine, which can be derived at the time of diagnosis by endoscopic ultrasound. Herein, we show that exosomes (EXs) derived from NAFs demonstrate differential bio-physical characteristics, efficient cellular internalization, drug loading efficiency, pancreatic tumor targeting and delivery of payloads. NAF-derived EXs (NAF-EXs) were used for loading ormeloxifene (ORM), a potent anti-cancer and desmoplasia inhibitor as a model drug. We found that ORM maintains normal fibroblast cell phenotype and renders them incompatible to be triggered for a CAF-like phenotype, which may be due to regulation of Ca2+ influx in fibroblast cells. NAF-EXs-ORM effectively blocked oncogenic signaling pathways involved in desmoplasia and epithelial mesenchymal transition (EMT) and repressed tumor growth in xenograft mouse model. In conclusion, our data suggests preferential tropism of NAF-EXs for PDAC tumors, thus imply feasibility of developing a novel personalized medicine for PDAC patients using autologous NAF-EXs for improved therapeutic outcome of anti-cancer drugs. Additionally, it provides the opportunity of utilizing this biological scaffold for effective therapeutics in combination with standard therapeutic regimen.

Structure-Guided Identification of Novel Aromatase Inhibitors Targeting Breast Carcinoma.

Aromatase inhibitors play a critical therapeutic role in treating ER+ breast cancer, especially in postmenopausal women. However, their efficacy is often limited by resistance and severe side effects. Identifying new compounds that can disrupt aromatase enzyme function is essential. In this study, structural anomalies in the aromatase enzyme were corrected through energy minimization, and the structure was validated via Ramachandran plot. We screened 170,269 natural compounds from the ASINEX Biodesign library using high-throughput screening algorithms to target the aromatase enzyme. Molecular docking identified three compounds: BDD30170158, BDE33872639, and BDE30177677, all showing stable binding interactions with the aromatase enzyme. Molecular dynamics simulations over 100 ns confirmed the conformational stability of these compounds. Although all three compounds exhibited the desired pharmacokinetic and drug metabolism properties, only one compound (BDE33872639) was identified as a non-blocker, demonstrating a reduced risk of adverse cardiac effects. This compound exhibits significant potential as a novel aromatase inhibitor, warranting further experimental research to develop it as a therapeutic option for ER+ breast cancer.

Unraveling the Influence of Social, Economic, and Demographic Factors in Texas on Breast Cancer Survival.

Background: According to the Centers for Disease Control (CDC), breast cancer is the second most common cancer among women in the United States. Affected people are financially challenged due to the high out-of-pocket cost of breast cancer treatment, as it is the most expensive treatment. Using a 16-year cohort study of breast cancer survival data in Texas, we investigate the factors that might explain why some breast cancer patients live longer than others. Methods: Performing a survival analysis consisting of the log-rank test, a survival time regression, and Cox proportional hazards regression, we explore the breast cancer survivors' specific attributes to identify the main determinants of survival time. Results: Analyses show that the factors: stage, grade, primary site of the cancer, number of cancers each patient has, histology of the cancer, age, race, and income are among the main variables that enlighten why some breast cancer survivors live much longer than others. For instance, compared to White non-Hispanics, Black non-Hispanics have a shorter length of survival with a hazard ratio of (1.282). The best prognostic for White non-Hispanics, Hispanics (all races), and Black non-Hispanics is a woman aged between 40 to 49 years old, diagnosed with localized stage and grade one with Axillary tail of breast as a primary site with only one cancer and with a household income of 75,000.00 and over. Conclusion: Policymakers should promote early diagnosis and screening and better assist the older and the poor to improve the survival time for breast cancer patients.

Understanding Barriers to Guideline-Concordant Treatment in Foregut Cancer: From Data to Solutions.

BACKGROUND: A large proportion of patients with foregut cancers do not receive guideline-concordant treatment (GCT). This study sought to understand underlying barriers to GCT through a root cause analysis approach. METHODS: A single-institution retrospective review of 498 patients with foregut (gastric, pancreatic, and hepatobiliary) adenocarcinoma from 2018 to 2022 was performed. Guideline-concordant treatment was defined based on National Comprehensive Cancer Network guidelines. The Ishikawa cause and effect model was used to establish main contributing factors to non-GCT. RESULTS: Overall, 34% did not receive GCT. Root causes of non-GCT included Patient, Physician, Institutional Environment and Broader System-related factors. In decreasing order of frequency, the following contributed to non-GCT: receipt of incomplete therapy (N = 28, 16.5%), deconditioning on chemotherapy (N = 26, 15.3%), delays in care because of patient resource constraints followed by loss to follow-up (N = 19, 11.2%), physician factors (N = 19, 11.2%), no documentation of treatment plan after referral to oncologic expertise (N = 19, 11.2%), loss to follow-up before oncology referral (N = 17, 10%), nonreferral to medical oncologic expertise (N = 16, 9.4%), nonreferral to surgical oncology in patients with resectable disease (N = 15, 8.8%), and complications preventing completion of treatment (N = 11, 6.5%). Non-GCT often was a function of multiple intersecting patient, physician, and institutional factors. CONCLUSIONS: A substantial percentage of patients with foregut cancer do not receive GCT. Solutions that may improve receipt of GCT include development of automated systems to improve patient follow-up; institutional prioritization of resources to enhance staffing; financial counseling and assistance programs; and development and integration of structured prehabilitation programs into cancer treatment pathways.

A Systems Biology Approach Unveils a Critical Role of DPP4 in Upper Gastrointestinal Cancer Patient Outcomes.

Gastrointestinal (GI) cancers comprise of cancers that affect the digestive system and its accessory organs. The late detection and poor prognosis of GI cancer emphasizes the importance of identifying reliable and precise biomarkers for early diagnosis and prediction of prognosis. The membrane-bound glycoprotein dipeptidyl-peptidase 4 (DPP4), also known as CD26, is ubiquitously expressed and has a wide spectrum of biological roles. The role of DPP4/CD26 in tumor progression in different types of cancers remains elusive. However, the link between DPP4 and tumor-infiltrating cells, as well as its prognostic significance in malignancies, still require further investigation. This study was intended to elucidate the correlation of DPP4 expression and survival along with prognosis, followed by its associated enriched molecular pathways and immune cell marker levels in upper GI cancers. Results demonstrated a strong correlation between increased DPP4 expression and a worse prognosis in esophageal and gastric cancer and the co-expressed common genes with DPP4 were associated with crucial molecular pathways involved in tumorigenesis. Additionally, DPP4 was shown to be significantly linked to several immune infiltrating cell marker genes, including Macrophages (M1, M2 and Tumor Associated Macrophages), neutrophils, Treg, T-cell exhaustion, Th1 and Th2. Overall, our findings suggest that DPP4 may serve as a substantial prognostic biomarker, a possible therapeutic target, as well as it can play a critical role in the regulation of immune cell invasion in patients with gastroesophageal (esophageal, gastroesophageal junction and gastric) cancer. KEY WORDS: DPP4, integrated analysis, GI cancer, gastroesophageal cancer, gastroesophageal junction, prognosis.

Time Kills: Impact of Socioeconomic Deprivation on Timely Access to Guideline-Concordant Treatment in Foregut Cancer.

BACKGROUND: Receipt of guideline-concordant treatment (GCT) is associated with improved prognosis in foregut cancers. Studies show that patients living in areas of high neighborhood deprivation have worse healthcare outcomes; however, its effect on GCT in foregut cancers has not been evaluated. We studied the impact of the area deprivation index (ADI) as a barrier to GCT. STUDY DESIGN: A single-institution retrospective review of 498 foregut cancer patients (gastric, pancreatic, and hepatobiliary adenocarcinoma) from 2018 to 2022 was performed. GCT was defined based on National Comprehensive Cancer Network guidelines. ADI, a validated measure of neighborhood disadvantage was divided into terciles (low, medium, and high) with high ADI indicating the most disadvantage. RESULTS: Of 498 patients, 328 (66%) received GCT: 66%, 72%, and 59% in pancreatic, gastric, and hepatobiliary cancers, respectively. Median (interquartile range) time from symptoms to workup was 6 (3 to 13) weeks, from diagnosis to oncology appointment was 4 (1 to 10) weeks, and from oncology appointment to treatment was 4 (2 to 10) weeks. Forty-six percent were diagnosed in the emergency department. On multivariable analyses, age 75 years or older (odds ratio [OR] 0.39 [95% CI 0.18 to 0.87]), Black race (OR 0.52 [95% CI 0.31 to 0.86]), high ADI (OR 0.25 (95% CI 0.14 to 0.48]), 6 weeks or more from symptoms to workup (OR 0.44 [95% CI 0.27 to 0.73]), 4 weeks or more from diagnosis to oncology appointment (OR 0.76 [95% CI 0.46 to 0.93]), and 4 weeks or more from oncology appointment to treatment (OR 0.63 [95% CI 0.36 to 0.98]) were independently associated with nonreceipt of GCT. CONCLUSIONS: Residence in an area of high deprivation predicts nonreceipt of GCT. This is due to multiple individual- and system-level barriers. Identifying these barriers and developing effective interventions, including community outreach and collaboration, leveraging telehealth, and increasing oncologic expertise in underserved areas, may improve access to GCT.

Renal Mitochondrial ATP Transporter Ablation Ameliorates Obesity-Induced CKD.

SIGNIFICANCE STATEMENT: This study sheds light on the central role of adenine nucleotide translocase 2 (ANT2) in the pathogenesis of obesity-induced CKD. Our data demonstrate that ANT2 depletion in renal proximal tubule cells (RPTCs) leads to a shift in their primary metabolic program from fatty acid oxidation to aerobic glycolysis, resulting in mitochondrial protection, cellular survival, and preservation of renal function. These findings provide new insights into the underlying mechanisms of obesity-induced CKD and have the potential to be translated toward the development of targeted therapeutic strategies for this debilitating condition. BACKGROUND: The impairment in ATP production and transport in RPTCs has been linked to the pathogenesis of obesity-induced CKD. This condition is characterized by kidney dysfunction, inflammation, lipotoxicity, and fibrosis. In this study, we investigated the role of ANT2, which serves as the primary regulator of cellular ATP content in RPTCs, in the development of obesity-induced CKD. METHODS: We generated RPTC-specific ANT2 knockout ( RPTC-ANT2-/- ) mice, which were then subjected to a 24-week high-fat diet-feeding regimen. We conducted comprehensive assessment of renal morphology, function, and metabolic alterations of these mice. In addition, we used large-scale transcriptomics, proteomics, and metabolomics analyses to gain insights into the role of ANT2 in regulating mitochondrial function, RPTC physiology, and overall renal health. RESULTS: Our findings revealed that obese RPTC-ANT2-/- mice displayed preserved renal morphology and function, along with a notable absence of kidney lipotoxicity and fibrosis. The depletion of Ant2 in RPTCs led to a fundamental rewiring of their primary metabolic program. Specifically, these cells shifted from oxidizing fatty acids as their primary energy source to favoring aerobic glycolysis, a phenomenon mediated by the testis-selective Ant4. CONCLUSIONS: We propose a significant role for RPTC-Ant2 in the development of obesity-induced CKD. The nullification of RPTC-Ant2 triggers a cascade of cellular mechanisms, including mitochondrial protection, enhanced RPTC survival, and ultimately the preservation of kidney function. These findings shed new light on the complex metabolic pathways contributing to CKD development and suggest potential therapeutic targets for this condition.

MUC13 drives cancer aggressiveness and metastasis through the YAP1-dependent pathway.

Anchorage-independent survival after intravasation of cancer cells from the primary tumor site represents a critical step in metastasis. Here, we reveal new insights into how MUC13-mediated anoikis resistance, coupled with survival of colorectal tumor cells, leads to distant metastasis. We found that MUC13 targets a potent transcriptional coactivator, YAP1, and drives its nuclear translocation via forming a novel survival complex, which in turn augments the levels of pro-survival and metastasis-associated genes. High expression of MUC13 is correlated well with extensive macrometastasis of colon cancer cells with elevated nuclear YAP1 in physiologically relevant whole animal model systems. Interestingly, a positive correlation of MUC13 and YAP1 expression was observed in human colorectal cancer tissues. In brief, the results presented here broaden the significance of MCU13 in cancer metastasis via targeting YAP1 for the first time and provide new avenues for developing novel strategies for targeting cancer metastasis.

Nitric Oxide Synthase Inhibition Prevents Cell Proliferation in Glioblastoma.

Glioblastoma multiforme (GBM) is a prevalent and aggressive primary brain tumor, presenting substantial treatment challenges and high relapse rates. GBM is characterized by alterations in molecular signaling and enzyme expression within malignant cells. This tumor exhibits elevated nitric oxide (NO.) levels. NO. is a crucial signaling molecule involved in the regulation of neuronal functions, synaptic transmission, and cell proliferation. It is primarily synthesized from L-arginine by nitric oxide synthase (NOS) enzymes. The increased levels of NO. in GBM stem from dysregulated activity and expression of clinically relevant NOS isoforms, particularly inducible NOS (iNOS) and neuronal NOS (nNOS). Based on this knowledge, we hypothesize that targeted pharmacological intervention with N6-(1-iminoethyl)-L-lysine (L-NIL), an iNOS inhibitor, and 7-Nitroindazole (7-NI), an nNOS inhibitor, may suggest a promising therapeutic strategy for the treatment of GBM. To test our hypothesis, we utilized the U87-MG cell line as an in vitro model of GBM. Our results showed that treatment with L-NIL and 7-NI led to a reduction in NO. levels, NOS activity, and clonogenic proliferation in U87-MG cells. These findings suggest that NO. and NOS enzymes might be prospective therapeutic targets for GBM.

Machine-learning technique, QSAR and molecular dynamics for hERG-drug interactions.

One of the most well-known anti-targets defining medication cardiotoxicity is the voltage-dependent hERG K + channel, which is well-known for its crucial involvement in cardiac action potential repolarization. Torsades de Pointes, QT prolongation, and sudden death are all caused by hERG (the human Ether-à-go-go-Related Gene) inhibition. There is great interest in creating predictive computational (in silico) tools to identify and weed out potential hERG blockers early in the drug discovery process because testing for hERG liability and the traditional experimental screening are complicated, expensive and time-consuming. This study used 2D descriptors of a large curated dataset of 6766 compounds and machine learning approaches to build robust descriptor-based QSAR and predictive classification models for KCNH2 liability. Decision Tree, Random Forest, Logistic Regression, Ada Boosting, kNN, SVM, Naïve Bayes, neural network and stochastic gradient classification classifier algorithms were used to build classification models. If a compound's IC50 value was between 10 µM and less, it was classified as a blocker (hERG-positive), and if it was more, it was classified as a non-blocker (hERG-negative). Matthew's correlation coefficient formula and F1score were applied to compare and track the developed models' performance. Molecular docking and dynamics studies were performed to understand the cardiotoxicity relating to the hERG-gene. The hERG residues interacting after 100 ns are LEU:697, THR:708, PHE:656, HIS:674, HIS:703, TRP:705 and ASN:709 and the hERG-ligand-16 complex trajectory showed stable behaviour with lesser fluctuations in the entire simulation of 200 ns.Communicated by Ramaswamy H. Sarma.

Palliative Therapies in Metastatic Pancreatic Cancer: Does Medicaid Expansion Make a Difference?

BACKGROUND: The aim of this study was to evaluate the impact of medicaid expansion (ME) on receipt of palliative therapies in metastatic pancreatic cancer patients. PATIENTS AND METHODS: A difference-in-differences (DID) approach was used to analyze patients with metastatic pancreatic cancer identified from the National Cancer Database diagnosed during two time periods: pre-expansion (2010-2012) and post-expansion (2014-2016). Patients diagnosed while residing in ME states were compared with those in non-ME states. Multivariable logistic regression was used to identify predictors of receipt of palliative therapies. RESULTS: Of 87,738 patients overall, 7483(18.1%) received palliative therapies in the pre-expansion, while 10,211(21.5%) received palliative therapies in the post-expansion period. In the pre-expansion period, treatment at a high-volume facility (HVF) (odds ratio [OR] 1.10, 95% confidence interval [CI] 1.02-1.18) and non-west geographic location were predictive of increased palliative therapies. In the post-expansion period, treatment at an HVF (OR 1.09, 95% CI 1.02-1.16), geographic location, and living in an ME state at the time of diagnosis (OR 1.14, 95% CI 1.06-1.22) were predictive of increased palliative therapies. Older age, highest quartile median income (zip-code based), and treatment at a nonacademic facility were independently associated with decreased palliative therapies in both periods. DID analysis demonstrated that patients with metastatic pancreatic cancer living in ME states had increased receipt of palliative therapies relative to those in non-ME states (DID = 2.68, p < 0.001). CONCLUSIONS: The overall utilization of palliative therapies in metastatic pancreatic cancer is low. Multiple sociodemographic disparities exist in the receipt of palliative therapies. ME is associated with increased receipt of palliative therapies in patients with metastatic pancreatic cancer.

Reprogramming of pancreatic adenocarcinoma immunosurveillance by a microbial probiotic siderophore.

There is increasing evidence suggesting the role of microbiome alterations in relation to pancreatic adenocarcinoma and tumor immune functionality. However, molecular mechanisms of the interplay between microbiome signatures and/or their metabolites in pancreatic tumor immunosurveillance are not well understood. We have identified that a probiotic strain (Lactobacillus casei) derived siderophore (ferrichrome) efficiently reprograms tumor-associated macrophages (TAMs) and increases CD8 + T cell infiltration into tumors that paralleled a marked reduction in tumor burden in a syngeneic mouse model of pancreatic cancer. Interestingly, this altered immune response improved anti-PD-L1 therapy that suggests promise of a novel combination (ferrichrome and immune checkpoint inhibitors) therapy for pancreatic cancer treatment. Mechanistically, ferrichrome induced TAMs polarization via activation of the TLR4 pathway that represses the expression of iron export protein ferroportin (FPN1) in macrophages. This study describes a novel probiotic based molecular mechanism that can effectively induce anti-tumor immunosurveillance and improve immune checkpoint inhibitors therapy response in pancreatic cancer.

Interaction Analysis of MRP1 with Anticancer Drugs Used in Ovarian Cancer: In Silico Approach.

Multidrug resistance (MDR) is one of the major therapeutic challenges that limits the efficacy of chemotherapeutic response resulting in poor prognosis of ovarian cancer (OC). The multidrug resistance protein 1 (MRP1) is a membrane-bound ABC transporter involved in cross resistance to many structurally and functionally diverse classes of anticancer drugs including doxorubicin, taxane, and platinum. In this study, we utilize homology modelling and molecular docking analysis to determine the binding affinity and the potential interaction sites of MRP1 with Carboplatin, Gemcitabine, Doxorubicin, Paclitaxel, and Topotecan. We used AutoDock Vina scores to compare the binding affinities of the anticancer drugs against MRP1. Our results depicted Carboplatin < Gemcitabine < Topotecan < Doxorubicin < Paclitaxel as the order of binding affinities. Paclitaxel has shown the highest binding affinity whereas Carboplatin displayed the lowest affinity to MRP1. Interestingly, our data showed that Carboplatin, Paclitaxel, and Topotecan bind specifically to Asn510 residue in the transmembrane domains 1 of the MRP1. Our results suggest that Carboplatin could be an appropriate therapeutic choice against MRP1 in OC as it couples weakly with Carboplatin. Further, our findings also recommend opting Carboplatin with Gemcitabine as a combinatorial chemotherapeutic approach to overcome MDR phenotype associated with recurrent OC.

Steviol Represses Glucose Metabolism and Translation Initiation in Pancreatic Cancer Cells.

Pancreatic cancer has the worst prognosis and lowest survival rate among all cancers. Pancreatic cancer cells are highly metabolically active and typically reprogrammed for aberrant glucose metabolism; thus they respond poorly to therapeutic modalities. It is highly imperative to understand mechanisms that are responsible for high glucose metabolism and identify natural/synthetic agents that can repress glucose metabolic machinery in pancreatic cancer cells, to improve the therapeutic outcomes/management of pancreatic cancer patients. We have identified a glycoside, steviol that effectively represses glucose consumption in pancreatic cancer cells via the inhibition of the translation initiation machinery of the molecular components. Herein, we report that steviol effectively inhibits the glucose uptake and lactate production in pancreatic cancer cells (AsPC1 and HPAF-II). The growth, colonization, and invasion characteristics of pancreatic cancer cells were also determined by in vitro functional assay. Steviol treatment also inhibited the tumorigenic and metastatic potential of human pancreatic cancer cells by inducing apoptosis and cell cycle arrest in the G1/M phase. The metabolic shift by steviol was mediated through the repression of the phosphorylation of mTOR and translation initiation proteins (4E-BP1, eIF4e, eIF4B, and eIF4G). Overall, the results of this study suggest that steviol can effectively suppress the glucose metabolism and translation initiation in pancreatic cancer cells to mitigate their aggressiveness. This study might help in the design of newer combination therapeutic strategies for pancreatic cancer treatment.

Effects of carbamate pesticides intermediates on Escherichia coli membrane architecture: An in vitro and in silico approach.

Methyl isocyanate (MIC), a low molecular weight synthetic aliphatic compound, having an isocyanate group (-NCO), has industrial application. In this study, the effects of methyl isocyanate and its mechanism on outer membrane protein of Escherichia coli were observed using experimental and computational methods. In vitro exposure of N-succinimidyl N-methylcarbamate (NSNM) a synthetic analogue of MIC on E. coli to a final concentration of 2 mM was found to affect the growth curve pattern and changes in cell morphology. Molecular docking studies of MIC and NSNM with E. coli outer membrane protein (OmpW, OmpX, OmpF OmpA), and periplasmic domain (PAL) were performed. The in-silico results revealed that outer membrane protein OmpF showed the highest negative binding energy, i.e. ∆G -4.11 kcal/mole and ∆G -3.19 kcal/mole by NSNM and MIC as compared to other proteins. Our study concludes that methyl isocyanate retains lethal toxicity which leads to cell death due to the membrane protein damage of E. coli membrane.

Clinical Implications of Exosomes: Targeted Drug Delivery for Cancer Treatment.

Exosomes are nanoscale vesicles generated by cells for intercellular communication. Due to their composition, significant research has been conducted to transform these particles into specific delivery systems for various disease states. In this review, we discuss the common isolation and loading methods of exosomes, some of the major roles of exosomes in the tumor microenvironment, as well as discuss recent applications of exosomes as drug delivery vessels and the resulting clinical implications.

Identification of bioactive molecule from Withania somnifera (Ashwagandha) as SARS-CoV-2 main protease inhibitor.

SARS-CoV-2 is the causative agent of COVID-19 and has been declared as pandemic disease by World Health Organization. Lack of targeted therapeutics and vaccines for COVID-2019 have triggered the scientific community to develop new vaccines or drugs against this novel virus. Many synthetic compounds and antimalarial drugs are undergoing clinical trials. The traditional medical practitioners widely use Indian medicinal plant Withania somnifera (Ashwagandha) natural constituents, called withanolides for curing various diseases. The main protease (Mpro) of SARS-CoV-2 plays a vital role in disease propagation by processing the polyproteins which are required for its replication. Hence, it denotes a significant target for drug discovery. In the present study, we evaluate the potential of 40 natural chemical constituents of Ashwagandha to explore a possible inhibitor against main protease of SARS-CoV-2 by adopting the computational approach. The docking study revealed that four constituents of Ashwagandha; Withanoside II (-11.30 Kcal/mol), Withanoside IV (-11.02 Kcal/mol), Withanoside V (-8.96 Kcal/mol) and Sitoindoside IX (-8.37 Kcal/mol) exhibited the highest docking energy among the selected natural constituents. Further, MD simulation study of 100 ns predicts Withanoside V possess strong binding affinity and hydrogen-bonding interactions with the protein active site and indicates its stability in the active site. The binding free energy score also correlates with the highest score of -87.01 ± 5.01 Kcal/mol as compared to other selected compounds. In conclusion, our study suggests that Withanoside V in Ashwagandha may be serve as a potential inhibitor against Mpro of SARS-CoV-2 to combat COVID-19 and may have an antiviral effect on nCoV.Communicated by Ramaswamy H. Sarma.