Biomarkers Of Drug Resistance Research Articles

The Role of Tumor‐Derived Extracellular Vesicles in Drug Resistance in Urologic Cancers

AbstractIn spite of the therapeutic progress achieved in the treatment of urologic tumors, the persistence and intricate nature of tumor resistance significantly impact patient prognoses. Extracellular vesicles (EVs), actively secreted by diverse cell types, assume a crucial role in facilitating intercellular communication. These EVs facilitate the transfer of functional molecules, encompassing RNA, proteins, and lipids, to recipient cells. While these molecules participate in normal physiological processes, they also play a pivotal role in the pathogenesis of various diseases. Notably in the context of cancer, numerous investigations have substantiated the involvement of tumor‐derived EVs in the development of drug resistance. This review comprehensively explores the mechanisms underlying drug resistance in urologic cancers, elucidates the contributions of tumor‐derived EVs to drug resistance in urologic tumors, discusses advancements in targeting EVs to mitigate drug resistance in urologic tumors, and assesses the utility of EVs as biomarkers for drug resistance in urologic tumors.

Abstract 7202: Strategy of targeting PKCβΙ protein to overcoming the acquired gemcitabine resistant pancreatic cancer cells

Abstract Pancreatic cancer (PC) is one of the most malignant cancers with limitation of treatment options such as resection surgery, radiation therapy and gemcitabine-based chemotherapy. To treating PC patients, gemcitabine-based chemotherapy is common and effective for PC, acquired gemcitabine resistance is one of the major reasons for treatment failure. Therefore, there is a need to suggest effective strategies and novel therapeutic approach for gemcitabine-resistant PC. Protein Kinase C β1 (PKC β1) is known as involved in multiple signal transduction related to oncogenic functions in cancer. We suggested that PKC β as one of the novel biomarker of drug resistance and further investigated the molecular mechanism. Among the natural products as small molecule inhibitor, we found that evodiamine has potent antitumor activity and various biological activities. Based on various biological activities of evodiamine, the scaffold was synthesized and investigated for antiproliferative and antitumor activities against gemcitabine resistant PANC-1 (PANC-GR) cells. Also, target validation experiment was employed to elucidate the molecular mechanism and verifying the target to overcoming gemcitabine resistance. Mechanistically, evodiamine derivatives have shown that inhibition of PKC β1 can modulate the proliferation of PANC-GR cells and exhibited tumor growth inhibitory activity in xenograft mouse model. Keywords: Pancreatic cancer cell, Gemcitabine resistance, Protein Kinase C β1 (PKC β1), Molecular mechanism Acknowledgements: This research was supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (RS-2023-00273240). Citation Format: EunSeo Bae, Yijae Lim, Junhwa Hong, Woong Sub Byun, Simin Chun, Suckchang Hong, Sang Kook Lee. Strategy of targeting PKCβΙ protein to overcoming the acquired gemcitabine resistant pancreatic cancer cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7202.

Abstract 5876: ALDH3A1 as a predictive marker for gemcitabine treatment in pancreatic cancer

Abstract Background: Pancreatic cancer is one of the incurable cancer. The currently preferred chemotherapy regimens, including gemcitabine, do not extend patient survival by more than a year, and studies on drug resistance mechanisms or biomarkers for the drug sensitivity are very limited. Aldehyde dehydrogenase (ALDH) is a family of enzymes that play an essential role in cell survival and protection. In cancer cells, it is thought that overexpression of the ALDHs confers a survival advantage to the cells, which is associated with a poor prognosis. In this study, we analyzed the drug sensitivity between ALDH3A1 expression and gemcitabine in PDAC cells. Method: In this study, we investigated the relationship between ALDH3A1 expression and gemcitabine sensitivity using 8 pancreatic cancer cell line. We observed changes in the pattern of ALDH3A1 expression in established gemcitabine resistance pancreatic cancer cell line. Following this, we functionally inhibited ALDH3A1 to determine its impact on gemcitabine sensitivity using shRNA method. To elucidate the molecular mechanisms related with ALDH3A1, we performed multi-omics analysis such as transcriptomics and proteomics. Results: As a results, there was a negative correlation between ALDH3A1 expression (Protein & mRNA) and gemcitabine resistance 8 pancreatic cancer cell lines. However, in established gemcitabine resistance BxPC3 cells compared to control cells, gemcitabine resistance increased more than 1000 fold while the protein expression was decreased. In these results correlated with inhibition of ALDH3A1 expression using shALDH3A1 experiments both change ALDH3A1 expression and gemcitabine resistance. In biological phenotype experiments, cell proliferation and migration increased in the ALDH3A1 inhibition groups. When using combination treatment of gemcitabine and CB29, a known ALDH3A1 inhibitor, drug resistance increased by more than 2,000 fold in the combination treatment groups. In RNAseq analysis, Adherens junction, Ras signaling, Axon guidance, and JAK-STAT signaling pathway related genes were up regulated in shALDH3A1 treatment group compared control. Conclusion: In this study, we demonstrated the negative correlation between ALDH3A1 and gemcitabine resistant in pancreatic cancer cell lines and suggesting that it may serves as a predictive marker for gemcitabine treatment in pancreatic cancer patients. Keywords: Pancreatic ductal adenocarcinoma (PDAC), Aldehyde dehydrogenase 3 family member A1 (ALDH3A1), Gemcitabine sensitivity. Citation Format: Jin Su Kim, Ji Young Keum, Chan Hee Park, Seungmin Bang. ALDH3A1 as a predictive marker for gemcitabine treatment in pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5876.

Deciphering chemoresistance in osteosarcoma: Unveiling regulatory mechanisms and function through the lens of noncoding RNA.

Osteosarcoma (OS) is a primary malignant bone tumor and is prevalent in children, adolescents, and elderly individuals. It has the characteristics of high invasion and metastasis. Neoadjuvant chemotherapy combined with surgical resection is the most commonly used treatment for OS. However, the efficacy of OS is considerably diminished by chemotherapy resistance. In recent years, noncoding RNAs (ncRNAs), including microRNAs, long noncoding RNAs, and circular RNAs, are hot topics in the field of chemotherapy resistance research. Several studies have demonstrated that ncRNAs are substantially associated with chemoresistance in OS. Thus, the present study overviews the abnormally expressed ncRNAs in OS and the molecular mechanisms involved in chemoresistance, with an emphasis on their function in promoting or inhibiting chemoresistance. ncRNAs are expected to become potential therapeutic targets for overcoming drug resistance and predictive biomarkers in OS, which are of great significance for enhancing the therapeutic effect and improving the prognosis.

Beyond BCR::ABL1-The Role of Genomic Analyses in the Management of CML.

Chronic myeloid leukemia (CML) is a model of genomically based diagnosis and management where BCR::ABL1 is successfully targeted by tyrosine kinase inhibitor (TKI) therapy in most patients. The dynamics of BCR::ABL1 transcript decline during therapy is a dependable biomarker of response, relapse, and drug resistance. Missense mutations acquired within the BCR::ABL1 kinase domain that disrupt TKI binding can evolve during therapy and are frequently detected in patients for whom TKI treatment fails. Importantly, specific BCR::ABL1 missense mutations are targetable alterations and direct therapeutic decisions based on the individual mutant TKI sensitivity profile. Nevertheless, BCR::ABL1 mutations are only implicated in approximately half of the cases of acquired resistance. Furthermore, not all patients with a single BCR::ABL1 mutation that is predicted to be sensitive to a specific TKI will experience a response when switched to that TKI. Progression to blast phase heralds independence from BCR::ABL1, and this phase of the disease is notoriously difficult to treat. The independent drivers of resistance and disease progression have long been investigated to both predict progression and to find targets for therapeutic intervention. Recent data reaffirm that drug resistance and disease progression is a mutation-driven process in CML, and somatic variants in genes that are known to drive acute myeloid and lymphoid leukemia have been detected in patients in the advanced phases of CML. Genomic testing over the last few decades for patients with blood cancer has revealed of variety of genomic aberrations that drive disease. Consequently, incorporation of genomic factors into patient management for a range of blood cancers has led to the implementation of high-throughput gene testing to detect clinically actionable variants. Is it time to integrate broader genomic screening into clinical management strategies for patients with CML?

Targeting of FSP1 regulates iron homeostasis in drug-tolerant persister head and neck cancer cells via lipid-metabolism-driven ferroptosis.

Research has demonstrated that some tumor cells can transform into drug-tolerant persisters (DTPs), which serve as a reservoir for the recurrence of the disease. The persister state in cancer cells arises due to temporary molecular reprogramming, and exploring the genetic composition and microenvironment during the development of head and neck squamous cell carcinoma (HNSCC) can enhance our comprehension of the types of cell death that HNSCC, thus identifying potential targets for innovative therapies. This project investigated lipid-metabolism-driven ferroptosis and its role in drug resistance and DTP generation in HNSCC. High levels of FSP1 were discovered in the tissues of patients who experienced relapse after cisplatin treatment. RNA sequencing indicated that a series of genes related to lipid metabolism were also highly expressed in tissues from these patients. Consistent results were obtained in primary DTP cells isolated from patients who experienced relapse. The Cancer Genome Atlas database confirmed this finding. This revealed that the activation of drug resistance in cancer cells is influenced by FSP1, intracellular iron homeostasis, and lipid metabolism. The regulatory roles of ferroptosis suppressor protein 1 (FSP1) in HNSCC metabolic regulation were investigated. We generated human oral squamous cell carcinoma DTP cells (HNSCC cell line) to cisplatin and observed higher expression of FSP1 and lipid-metabolism-related targets in vitro. The shFSP1 blockade attenuated HNSCC-DTP cell stemness and downregulated tumor invasion and the metastatic rate. We found that cisplatin induced FSP1/ACSL4 axis expression in HNSC-DTPC cells. Finally, we evaluated the HNSCC CSC-inhibitory functions of iFSP1 (a metabolic drug and ferroptosis inducer) used for neo-adjuvant chemotherapy; this was achieved by inducing ferroptosis in a patient-derived xenograft mouse model. The present findings elucidate the link between iron homeostasis, ferroptosis, and cancer metabolism in HNSCC-DTP generation and acquisition of chemoresistance. The findings may serve as a suitable model for cancer treatment testing and prediction of precision treatment outcomes. In conclusion, this study provides clinically oriented platforms for evaluating metabolism-modulating drugs (FSP1 inhibitors) and new drug candidates of drug resistance and ferroptotic biomarkers.

Prediction of Chemoresistance-How Preclinical Data Could Help to Modify Therapeutic Strategy in High-Grade Serous Ovarian Cancer.

High-grade serous ovarian cancer (HGSOC) is one of the most lethal tumors generally and the most fatal cancer of the female genital tract. The approved standard therapy consists of surgical cytoreduction and platinum/taxane-based chemotherapy, and of targeted therapy in selected patients. The main therapeutic problem is chemoresistance of recurrent and metastatic HGSOC tumors which results in low survival in the group of FIGO III/IV. Therefore, the prediction and monitoring of chemoresistance seems to be of utmost importance for the improvement of HGSOC management. This type of cancer has genetic heterogeneity with several subtypes being characterized by diverse gene signatures and disturbed peculiar epigenetic regulation. HGSOC develops and metastasizes preferentially in the specific intraperitoneal environment composed mainly of fibroblasts, adipocytes, and immune cells. Different HGSOC subtypes could be sensitive to distinct sets of drugs. Moreover, primary, metastatic, and recurrent tumors are characterized by an individual biology, and thus diverse drug responsibility. Without a precise identification of the tumor and its microenvironment, effective treatment seems to be elusive. This paper reviews tumor-derived genomic, mutational, cellular, and epigenetic biomarkers of HGSOC drug resistance, as well as tumor microenvironment-derived biomarkers of chemoresistance, and discusses their possible use in the novel complex approach to ovarian cancer therapy and monitoring.

Troponin T1 silencing inhibits paclitaxel resistance and the development of breast cancer via suppressing rat sarcoma virus/rapidly accelerated fibrosarcoma 1 pathway.

We aimed to determine the role of Troponin T1 (TNNT1) in paclitaxel (PTX) resistance and tumor progression in breast cancer (BC). Differentially expressed genes were obtained from the GSE4298 and GSE90564 datasets. Hub genes were isolated from protein-protein interaction networks and further validated by real-time quantitative polymerase chain reaction. The effect of TNNT1 on PTX resistance was determined using cell counting kit-8, 5-ethynyl-2'-deoxyuridine, wound healing, transwell, flow cytometry assays, and subcutaneous xenografted tumor model. Western blotting was used to detect proteins associated with PTX resistance, apoptosis, migration, invasion, and other key pathways. Hematoxylin-eosin and immunohistochemical staining were used to evaluate the role of TNNT1 in tumors. After comprehensive bioinformatic analysis, we identified CCND1, IGF1, SFN, INHBA, TNNT1, and TNFSF11 as hub genes for PTX resistance in BC. TNNT1 plays a key role in BC and is upregulated in PTX-resistant BC cells. TNNT1 silencing inhibited PTX resistance, proliferation, migration, and invasion while promoting apoptosis of PTX-resistant BC cells. Tumor xenograft experiments revealed that TNNT1 silencing suppresses PTX resistance and tumor development in vivo. In addition, TNNT1 silencing inhibited the expression of proteins in the rat sarcoma virus (RAS)/rapidly accelerated fibrosarcoma1 (RAF1) pathway in vivo. Treatment with a RAS/RAF1 pathway activator reversed the inhibitory effect of TNNT1 silencing on proliferation, migration, and invasion while promoting apoptosis of PTX resistance BC cells. Silencing of TNNT1 suppresses PTX resistance and BC progression by inhibiting the RAS/RAF1 pathway, which is a promising biomarker and therapeutic target for drug resistance in BC.

Circulating serum microRNAs as biomarkers of drug resistance in multiple myeloma patients treated with bortezomib-based regimens – pilot study

Despite advances in multiple myeloma (MM) treatment, drug resistance remains a clinical challenge. We aimed to develop a prognostic model for bortezomib resistance based on miRNA expression profiling. The study included 40 previously untreated MM patients receiving bortezomib-based regimens (20 treatment-sensitive, 20 resistant). Pretreatment venous blood samples were analyzed for miRNA expression. Differential expression analysis revealed upregulated miR-27b-3p (FC 1.45, p = 0.017) and let-7b-5p (FC 1.44, p = 0.025) in the resistant group. Univariate analysis identified let-7b-5p (OR 3.17, 95%CI: 1.19–11.4, p = 0.04) and miR-27b-3p (OR 4.73, 95%CI: 1.4–26.6, p = 0.036) as risk factors for resistance. The final multivariate model included miR-27b-3p (OR 23.1, 95% CI: 2.8–452, p = 0.015), let-7b-5p (OR 4.38, 95% CI: 1.28–22.2, p = 0.038), and miR-103a-3p (OR 15.3, 95% CI: 1.33–351, p = 0.049). These miRNAs may serve as biomarkers of treatment response in MM. However, external validation is necessary to confirm the clinical utility of our model.

Sox2 and βIII-Tubulin as Biomarkers of Drug Resistance in Poorly Differentiated Sinonasal Carcinomas.

Poorly differentiated sinonasal carcinomas (PDCs) are tumors that have a poor prognosis despite advances in classical treatment. Predictive and prognostic markers and new personalized treatments could improve the oncological outcomes of patients. In this study, we analyzed SOX2 and βIII-tubulin as biomarkers that could have prognostic and therapeutic impacts on these tumors. The cohort included 57 cases of PDCs: 36 sinonasal undifferentiated carcinoma (SNUC) cases, 13 olfactory neuroblastoma (ONB) cases, and 8 sinonasal neuroendocrine carcinoma (SNEC) cases. Clinical follow-up data were available for 26 of these cases. Sox2 expression was detected using immunohistochemistry in 6 (75%) SNEC cases, 19 (53%) SNUC cases, and 6 (46%) ONB cases. The absence of Sox2 staining correlated with a higher rate of recurrence (p = 0.015), especially distant recurrence. The majority of cases showed βIII-tubulin expression, with strong positivity in 85%, 75%, and 64% of SNEC, ONB, and SNUC cases, respectively. Tumors with stronger βIII-tubulin expression demonstrated longer disease-free survival than those with no expression or low expression (p = 0.049). Sox2 and βIII-tubulin expression is common in poorly differentiated sinonasal tumors and has prognostic and therapeutic utility.

Characterizing excision repair cross-complementing family genes as drug resistance biomarkers in breast cancer

BackgroundExcision repair cross-complementing (ERCC) genes are important regulators of DNA repair processes, the aberrant expression of which may lead to treatment failures of breast cancer. The prognostic significance of the ERCC genes in several cancers has been investigated, except for breast cancer; therefore, we explored the ERCC genes, including ERCC1, ERCC2, ERCC3, ERCC4, ERCC5, ERCC6, and ERCC8 in breast cancer, particularly during drug resistance processes.ResultsUsing the 2021 provisional study of The Metastatic Breast Cancer Project from cBioPortal, we identified ERCC genetic alterations in 8–36% of patients, where most alterations were considered amplifications followed by deep deletions. Pathway enrichment analyses identified Wnt signaling enrichment which contributed to cell proliferation. ERCC2 had the highest epigenetic alteration levels at 7 DNA methylation sites. Also, the mRNA levels of ERCC1, ERCC2, ERCC4, ERCC6, and ERCC8 were higher in patients with breast cancer when compared to normal breast tissues, with higher ERCC2 but lower ERCC8 levels in metastatic breast tissues. Breast cancer patients with low ERCC6 levels had better overall survival rates than the groups with higher ERCC6 levels. ERCC1, ERCC2, and ERCC4 were identified as endocrine therapy response predictors. ERCC1 was specifically an antihuman epidermal growth factor receptor therapy predictor, and ERCC1, ERCC2, ERCC6, and ERCC8 were chemotherapy response predictors.ConclusionWe used bioinformatics to investigate and identify the roles of ERCC genes in breast cancer resistant cells, in particular ERCC1, ERCC2, and ERCC6. We also showed how the Wnt pathway and DNA repair processes had a role in drug resistance in breast cancer cells, but further studies are required to validate those results.

Tyro3 and CDK9 as biomarkers for drug resistance to breast cancer anti-PD-1 therapies

Objective: PD-1/PD-L1 immune checkpoint treatment is effective for some triple-negative breast cancer populations with PD-L1 expression, but the response rate is still not satisfactory. This study aims to explore the mechanism of drug resistance to breast cancer anti-PD-1 therapies and the strategies for overcoming the resistance to PD-1therapies. Methods: By constructing a human triple-negative breast cancer drug-resistant cell line called BT-549R5 and a mouse breast cancer drug-resistant cell line called 4T1R3, and applying the whole-gene shRNA library screening, candidate drug resistance-associated molecules were obtained and verified by cytological experiments. The expression of Tyro3, Axl and MerTK of the TAM family in the 4T1R3 group was tested using the Western blot method. The down-regulation of CDK9 on the effect of T cells killing the BT-549R5 cells was observed through T cell killing tests, while the down-regulation of Tyro3 and CDK9 on the effect of anti-PD-1 therapies for transplanted breast tumors was observed in mouse tumor formation experiments. Results: The cell lines and animal models of breast cancer resistant to PD-1 treatment were successfully constructed. Tyro3, Axl and MerTK were highly expressed in 4T1R3 cells. Whole genome sequencing showed that Tyro3 and CDK9 were highly expressed in BT-549R5 cells. T cell killing experiment showed that the survival rate of BT-549R5 cells in the CDK9 down-regulated group and the control group decreased gradually with the increase of T cells, but the survival rate of BT-549R5 cells in the CDK9 down-regulated group decreased rapidly. Tumor formation experiment in mice showed that under anti-PD-1 treatment, the transplanted tumor in the 4T1R3 cell group grew rapidly compared with the 4T1 cell group (P<0.05), and the tumor volume of the 4T1R3 group was larger than that of the 4T1 group on Day 20. Nevertheless, the tumor growth rates in the CDK9-knockdown 4T1R3 cell group and the Tyro3-knockdown 4T1R3 cell group were similar to that of the 4T1 cell group, and the tumor volumes at day 20 were signiference lower than that of 4T1R3 cell group(P<0.05). Conclusions: Tyro3 and CDK9 are associated with the drug resistance to anti-PD-1 therapies for breast cancer. Inhibiting the expression of Tyro3 and CDK9 can reverse the drug resistance to breast cancer treatment.

Metabolic Alteration of MCF-7 Cells upon Indirect Exposure to E. coli Secretome: A Model of Studying the Microbiota Effect on Human Breast Tissue.

According to studies, the microbiome may contribute to the emergence and spread of breast cancer. E. coli is one of the Enterobacteriaceae family recently found to be present as part of the breast tissue microbiota. In this study, we focused on the effect of E. coli secretome free of cells on MCF-7 metabolism. Liquid chromatography-mass spectrometry (LC-MS) metabolomics was used to study the E. coli secretome and its role in MCF-7 intra- and extracellular metabolites. A comparison was made between secretome-exposed cells and unexposed controls. Our analysis revealed significant alterations in 31 intracellular and 55 extracellular metabolites following secretome exposure. Several metabolic pathways, including lactate, aminoacyl-tRNA biosynthesis, purine metabolism, and energy metabolism, were found to be dysregulated upon E. coli secretome exposure. E. coli can alter the breast cancer cells' metabolism through its secretome which disrupts key metabolic pathways of MCF-7 cells. These microbial metabolites from the secretome hold promise as biomarkers of drug resistance or innovative approaches for cancer treatment, either as standalone therapies or in combination with other medicines.

RDRGSE: A Framework for Noncoding RNA-Drug Resistance Discovery by Incorporating Graph Skeleton Extraction and Attentional Feature Fusion.

Identifying noncoding RNAs (ncRNAs)-drug resistance association computationally would have a marked effect on understanding ncRNA molecular function and drug target mechanisms and alleviating the screening cost of corresponding biological wet experiments. Although graph neural network-based methods have been developed and facilitated the detection of ncRNAs related to drug resistance, it remains a challenge to explore a highly trusty ncRNA-drug resistance association prediction framework, due to inevitable noise edges originating from the batch effect and experimental errors. Herein, we proposed a framework, referred to as RDRGSE (RDR association prediction by using graph skeleton extraction and attentional feature fusion), for detecting ncRNA-drug resistance association. Specifically, starting with the construction of the original ncRNA-drug resistance association as a bipartite graph, RDRGSE took advantage of a bi-view skeleton extraction strategy to obtain two types of skeleton views, followed by a graph neural network-based estimator for iteratively optimizing skeleton views aimed at learning high-quality ncRNA-drug resistance edge embedding and optimal graph skeleton structure, jointly. Then, RDRGSE adopted adaptive attentional feature fusion to obtain final edge embedding and identified potential RDRAs under an end-to-end pattern. Comprehensive experiments were conducted, and experimental results indicated the significant advantage of a skeleton structure for ncRNA-drug resistance association discovery. Compared with state-of-the-art approaches, RDRGSE improved the prediction performance by 6.7% in terms of AUC and 6.1% in terms of AUPR. Also, ablation-like analysis and independent case studies corroborated RDRGSE generalization ability and robustness. Overall, RDRGSE provides a powerful computational method for ncRNA-drug resistance association prediction, which can also serve as a screening tool for drug resistance biomarkers.

Nanomechanical Characterization of Ovarian Cancer Cell Lines as a Marker of Response to 2c Treatment.

Epithelial ovarian cancers (EOCs) are a heterogeneous group of tumors with different molecular and clinical features. In past decades, few improvements have been achieved in terms of EOC management and treatment efficacy, such that the 5-year survival rate of patients remained almost unchanged. A better characterization of EOCs' heterogeneity is needed to identify cancer vulnerabilities, stratify patients and adopt proper therapies. The mechanical features of malignant cells are emerging as new biomarkers of cancer invasiveness and drug resistance that can further improve our knowledge of EOC biology and allow the identification of new molecular targets. In this study, we determined the inter and intra-mechanical heterogeneity of eight ovarian cancer cell lines and their association with tumor invasiveness and resistance to an anti-tumoral drug with cytoskeleton depolymerization activity (2c).

Antibiogram Pattern of Multidrug Resistance of Gram-negative Extended Betalactamase Isolates from Urine of Diabetic Patients

Background: The rate of multidrug resistant bacteria is the most worrisome in the health setting because it often associates with nosocomial infection. Objectives: This present study aim at, evaluating the antibiotic pattern of multidrug resistance of Gram-negative extended betalactamase isolates from urine of diabetic patients. Methods: This is a cross sectional study carried out at Nnamdi Azikiwe University Teaching Hospital with a total of 110 diabetic patients and were recruited using convenient sample method. The patients were instructed on how to collect the mid-stream urine samples without contamination. The samples were cultured and characterized the isolates following standard bacteriological methods. The isolated bacteria were subjected to sensitivity test pattern using agar disc diffusion techniques. The multidrug resistant isolates were physically checked for the extended spectrum betalactamase production. Obtained data was subjected to these statistical tools; descriptive statistics, chi-square and pair-test using Statistical Package for the Social Science (SPSS version 26). Results: Out of 110 urine samples assessed for significant growth of bacteria, it was found that, 55(27%) were the Gram negative bacteria (GNB).The highest prevalence of isolates were E. coli 30(54.6%), followed by Klebsiella pneumonia 14 (25.5%), Pseudomonas aeruginosa 6 (10.9%), and Proteus species 5 (9.09%) respectively. The most occurrence of the MDR bacteria were found in Augmentin 46 (83.6%) as well as as Cefuroxime 43 (78.2%) respectively. The significant mean range of Augumentin and Cefixime resistant to ESBL producers were (0.53±1.2; p = 0.000) and (0.600 ± 0.974; p = 000) respectively. Conclusion: The study detected the high proportion of multi-drug resistant isolates and the most occurrence were found in E. coli and Klebsiella pneumoniae. Regular monitoring, conducting, supervising, or management of antibiotics and molecular biomarkers for drug resistance are paramount to curtail the rate of drug-resistant pathogens.

Biomarkers of Drug Resistance in Temporal Lobe Epilepsy in Adults.

Temporal lobe epilepsy (TLE) is the most common type of focal epilepsy in adults. Experimental and clinical data indicate that neuroinflammation and neurodegeneration accompanying epileptogenesis make a significant contribution to the chronicity of epilepsy and the development of drug resistance in TLE cases. Changes in plasma and serum concentrations of proteins associated with neuroinflammation and neurodegeneration can be predictive biomarkers of the course of the disease. This study used an enzyme-linked immunosorbent assay of the following plasma proteins: brain-derived neurotrophic factor (BDNF), tumor necrosis factor alpha (TNFa), and high-mobility group protein B1 (HMGB1) in patients with mesial TLE to search for biomarkers of the disease. The objective of the study was to examine biomarkers of the neuroinflammation and neurodegeneration of plasma: BDNF, TNFa, and HMGB1. The aim of the study was to identify changes in the concentration of circulating pro-inflammatory and neurotrophic factors that are prognostically significant for the development of drug resistance and the course of TLE. A decrease in the concentration of BDNF, TNFa, and HMGB1 was registered in the group of patients with TLE compared with the control group. A significant decrease in the concentration of HMGB1 in patients with drug-resistant TLE was observed. Aberrations in plasma concentrations of BDNF, TNFa, and HMGB1 in patients with TLE compared with the controls have been confirmed by earlier studies. A decrease in the expression of the three biomarkers may be the result of neurodegenerative processes caused by the long course of the disease. The results of the study may indicate the acceptability of using HMGB1 and TNFa as prognostic biological markers to indicate the severity of the disease course and the risk of developing drug resistance.

Meta-Analysis of MS-Based Proteomics Studies Indicates Interferon Regulatory Factor 4 and Nucleobindin1 as Potential Prognostic and Drug Resistance Biomarkers in Diffuse Large B Cell Lymphoma.

The prognosis of diffuse large B cell lymphoma (DLBCL) is inaccurately predicted using clinical features and immunohistochemistry (IHC) algorithms. Nomination of a panel of molecules as the target for therapy and predicting prognosis in DLBCL is challenging because of the divergences in the results of molecular studies. Mass spectrometry (MS)-based proteomics in the clinic represents an analytical tool with the potential to improve DLBCL diagnosis and prognosis. Previous proteomics studies using MS-based proteomics identified a wide range of proteins. To achieve a consensus, we reviewed MS-based proteomics studies and extracted the most consistently significantly dysregulated proteins. These proteins were then further explored by analyzing data from other omics fields. Among all significantly regulated proteins, interferon regulatory factor 4 (IRF4) was identified as a potential target by proteomics, genomics, and IHC. Moreover, annexinA5 (ANXA5) and nucleobindin1 (NUCB1) were two of the most up-regulated proteins identified in MS studies. Functional enrichment analysis identified the light zone reactions of the germinal center (LZ-GC) together with cytoskeleton locomotion functions as enriched based on consistent, significantly dysregulated proteins. In this study, we suggest IRF4 and NUCB1 proteins as potential biomarkers that deserve further investigation in the field of DLBCL sub-classification and prognosis.

MicroRNA-631 Resensitizes Doxorubicin-Resistant Chondrosarcoma Cells by Targeting Apelin

Chondrosarcoma is the second most common type of bone cancer. Surgical resection is the best choice for clinical treatment. High-grade chondrosarcoma is destructive and is more possible to metastasis, which is difficult to remove using surgery. Doxorubicin (Dox) is the most commonly used chemotherapy drug in the clinical setting; however, drug resistance is a major obstacle to effective treatment. In the present study, we compared Dox-resistant SW1353 cells to their parental cells using RNA sequencing (RNA-Seq). We found that the apelin (APLN) pathway was highly activated in resistant cells. In addition, tissue array analysis also showed that APLN was higher in high-grade tissues compared to low-grade tissues. APLN is a member of the adipokine family, which is a novel secreted peptide with multifunctional and biological activities. Previously, studies have shown that inhibition of the APLN axis may have a therapeutic benefit in cancers. However, the role of APLN in chondrosarcoma is completely unclear, and no related studies have been reported. During in vitro experiments, APLN was also observed to be highly expressed and secreted in Dox-resistant cells. Once APLN was knocked down, it could effectively improve its sensitivity to Dox. We also explored possible upstream regulatory microRNAs (miRNAs) of APLN through bioinformatics tools and the results disclosed that miR-631 was the most likely regulator of APLN. Furthermore, the expression of miR-631 was lower in the resistant cells, but overexpression of miR-631 in the Dox-resistant cell lines significantly increased the Dox sensitivity. These results were also observed in another chondrosarcoma cell line, JJ012 cells. Taken together, these findings will provide rationale for the development of drug resistance biomarkers and therapeutic strategies for APLN pathway inhibitors to improve the survival of patients with chondrosarcoma.

Molecular detection of drug-resistant Plasmodium falciparum mutants in Assam.

The spread of drug-resistant Plasmodium falciparum (Pf) poses a serious threat to the control and elimination of malaria. The objective of this study was to detect the molecular biomarkers of antimalarial drug resistance in Pf in patients visiting a tertiary care hospital in Assam. Malaria was first detected in fever cases using microscopy and a rapid diagnostic test (RDT), and then confirmed using PCR. Pf chloroquine resistance transporter (Pfcrt), Pf multidrug resistance-1 (Pfmdr-1), and single-nucleotide polymorphisms linked to delayed parasite clearance after treatment with artemisinin MAL 10-688956 and MAL 13-1718319 and Kelch-13 propeller (PfK-13) genes were evaluated by PCR-restriction fragment length polymorphism (RFLP). Sixty nine cases of malaria were found among 300 cases of fever. Of these, 54 were positive for Pf, 47 of which were confirmed by PCR. Pfcrt-K76T mutation was seen in 96.6 per cent and Pfmdr1-N86Y mutation in 84.2 per cent of cases. Mutation was not detected in MAL10 and MAL13 genes. Sequence analysis of Kelch-13 gene showed the presence of a novel mutation at amino acid position 675. Statistically, no significant association was found between the molecular biomarkers and demographic profile, clinical presentation and outcome of the cases. Molecular surveillance is essential to assess the therapeutic efficacy of the drugs against circulating Pf isolates in Assam which are found to be highly resistant to CQ. The role of the new mutation found in the Kelch-13 gene in the development of artemisinin resistance in Assam needs to be thoroughly monitored in future research.