Therapeutic Effect Of Anticancer Drugs Research Articles

Eradication of Large Tumors by Nanoscale Drug Self-Assembly.

Most patients with cancer are first diagnosed at an advanced disease stage, when tumors are already large and/or metastases are present. This circumstance has a negative impact on the prognosis and therapeutic effect of anticancer drugs. In this study, it is demonstrated that photosensitizer chlorin e6 and the photochemotherapy drug mitoxantrone self-assemble into relatively stable nanoassemblies (CM NAs) through hydrogen-bonding effect, π-π stacking, and hydrophobic interactions. Administration of CM NAs in combination with 660nm laser irradiation shows chemotherapeutic, photothermal, and photodynamic effects, causing tumor cell apoptosis and pyroptosis and enabling noninvasive tumor ablation without compromising the surrounding normal tissue. More importantly, treatment with CM NAs increases tumor immunogenicity, leading to a strong and long-term antitumor immune response that eradicates large tumors and provides long-term protection against tumor recurrence on various tumor models.

Insights from C-CAT repository: A novel approach to identifying appropriate patient populations for anticancer drug development using the clinicogenomic nationwide database in Japan.

11159 Background: The integration of Comprehensive Genomic Profiling (CGP) with real-world data (RWD) provides crucial insights for anticancer drug development to achieve precision oncology, therefore, the current global trend to construct as the national projects, yet its clinical impact remains underexplored. The therapeutic efficacy of each line of anti-cancer drug in various cancer types and the relationship between genetic alterations and the effect of anticancer drugs is needed to guide the direction of future drug development promptly and precisely. Methods: A comprehensive analysis was conducted on data from Japan's Center for Cancer Genomics and Advanced Therapeutics (C-CAT) repository between June 2019 and December 2023. Five genomic profiling assays for CGP testing were reimbursed by nation-wide insurance in Japan. Utilizing the clinicogenomic repository of C-CAT, registered data of therapeutic efficacy of anticancer drug including cytotoxic agents, molecular-targeted agents, and immune checkpoint inhibitors were evaluated in association with genetic alterations. Data on anticancer drug of patients (pts) with recurrent or metastatic disease were included in the analysis. Results: The C-CAT registry data encompassed 60,256 pts across 32 tumor organ sites, classified ontology by the OncoTree over 4.5 years. Of these patients, 30,234 were male, and 30,017 were female, with 5 classified as unknown. In terms of age, 31,919 pts were < 65. The most registered origins were colorectal (n=10,110), pancreas (n=8,069), biliary tract (n=5,030), breast (n=3,744), esophagus/stomach (n=3,734), prostate (n=3,701), ovarian/fallopian tube (n=3,521), lung (n=3,427), and soft tissue (n=2,568). TP53mutations (58.3%, n=35,102) were most prevalent, followed by KRAS (25.8%, n=15,521), APC (19.9%, n=11,919), NOTCH3 (14.1%, n=8,502), and PIK3CA (13.0%, n=7,861). The frequency of BRCA1/2mutation was 4.1% (n=2,479). Overall response rate (ORR) for the first-, second-, third-, and fourth-lines treatment were 35.7%, 23.3%, 19.4%, and 19.2%, respectively. Pts treated with cisplatin or carboplatin in the first-line treatment, who had TP53 mutations, showed a better ORR than those without (44.0% vs. 38.9%, p < 0.001). Similarly, pts with BRCA1/2mutation showed a better ORR than those without (53.9% vs. 41.4%, p < 0.001) in the first-line treatment. Conclusions: This study was the first to report the relationship between genetic alterations and the therapeutic effect of anticancer drugs in each line. This approach based on big data analysis potentially accelerates drug development in the appropriate patient population by identifying significant associations between specific genetic mutations and improved outcomes with certain chemotherapy regimens in various cancers.

Advances in nanotechnology-enabled drug delivery for combining PARP inhibitors and immunotherapy in advanced ovarian cancer.

Advanced ovarian cancer is a malignancy that spreads beyond the ovaries to the pelvis, abdomen, lungs, or lymph nodes. Effective treatment options are available to improve survival rates in patients with advanced ovarian cancer. These include radiation, surgery, chemotherapy, immunotherapy, and targeted therapy. Drug resistance, however, remains a significant challenge in pharmacotherapeutic interventions, leading to reduced efficacy and unfavorable patient outcomes. Combination therapy, which involves using multiple drugs with different mechanisms of action at their optimal dose, is a promising approach to circumvent this challenge and it involves using multiple drugs with different mechanisms of action at their optimal dose. In recent years, nanotechnology has emerged as a valuable alternative for enhancing drug delivery precision and minimize toxicity. Nanoparticles can deliver drugs to specific cancer cells, resulting in higher drug concentrations at the tumor site, and reducing overall drug toxicity. Nanotechnology-based drug delivery systems have the potential to improve the therapeutic effects of anti-cancer drugs, reduce drug resistance, and improve outcomes for patients with advanced ovarian cancer. This literature review aims to examine the current understanding of combining poly (ADP-ribose) polymerase (PARP) inhibitors and immunotherapy in treating advanced ovarian cancer and the potential impact of nanotechnology on drug delivery.

Improving anti-cancer drug response prediction using multi-task learning on graph convolutional networks

Predicting the therapeutic effect of anti-cancer drugs on tumors based on the characteristics of tumors and patients is one of the important contents of precision oncology. Existing computational methods regard the drug response prediction problem as a classification or regression task. However, few of them consider leveraging the relationship between the two tasks. In this work, we propose a Multi-task Interaction Graph Convolutional Network (MTIGCN) for anti-cancer drug response prediction. MTIGCN first utilizes an graph convolutional network-based model to produce embeddings for both cell lines and drugs. After that, the model employs multi-task learning to predict anti-cancer drug response, which involves training the model on three different tasks simultaneously: the main task of the drug sensitive or resistant classification task and the two auxiliary tasks of regression prediction and similarity network reconstruction. By sharing parameters and optimizing the losses of different tasks simultaneously, MTIGCN enhances the feature representation and reduces overfitting. The results of the experiments on two in vitro datasets demonstrated that MTIGCN outperformed seven state-of-the-art baseline methods. Moreover, the well-trained model on the in vitro dataset GDSC exhibited good performance when applied to predict drug responses in in vivo datasets PDX and TCGA. The case study confirmed the model's ability to discover unknown drug responses in cell lines.

Co-encapsulation of hydrophilic and hydrophobic drugs into niosomal nanocarrier for enhanced breast cancer therapy: In silico and in vitro studies

Combination therapy has been considered one of the most promising approaches for improving the therapeutic effects of anticancer drugs. This is the first study that uses two different antioxidants in full-characterized niosomal formulation and thoroughly evaluates their synergistic effects on breast cancer cells. In this study, in-silico studies of hydrophilic and hydrophobic drugs (ascorbic acid: Asc and curcumin: Cur) interactions and release were investigated and validated by a set of in vitro experiments to reveal the significant improvement in breast cancer therapy using a co-delivery approach by niosomal nanocarrier. The niosomal nanoparticles containing surfactants (Span 60 and Tween 60) and cholesterol at 2:1 M ratio were prepared through the film hydration method. A systematic evaluation of nanoniosomes was carried out. The release profile demonstrated two phases (initial burst followed by sustained release) and a pH-dependent release schedule over 72 h. The optimized niosomal preparation displayed superior storage stability for up to 2 months at 4 °C, exhibiting extremely minor changes in pharmaceutical encapsulation efficiency and size. Free dual drugs (Asc + Cur) and dual-drug loaded niosomes (Niosomal (Asc + Cur)) enhanced the apoptotic activity and cytotoxicity and inhibited cell migration which confirmed the synergistic effect of co-encapsulated drugs. Also, significant up-regulation of p53 and Bax genes was observed in cells treated with Asc + Cur and Niosomal (Asc + Cur), while the anti-apoptotic Bcl-2 gene was down-regulated. These results were in correlation with the increase in the enzyme activity of SOD, CAT, and caspase, and the levels of malondialdehyde (MDA) and reactive oxygen species (ROS) upon treatment with the mentioned drugs. Furthermore, these anti-cancer effects were higher when using Niosomal (Asc + Cur) than Asc + Cur. Histopathological examination also revealed that Niosomal (Asc + Cur) had a lower mitosis index, invasion, and pleomorphism than Asc + Cur. These findings indicated that niosomal formulation for co-delivery of Asc and Cur would offer a promising delivery system for an effective breast cancer treatment.

Preparation of liposomes co-encapsulating doxorubicin and mifepristone for treating multidrug-resistant cancer

The emergence of multidrug resistance (MDR) is well-known to decrease the therapeutic effects of anticancer drugs. To increase anticancer drug efficacy and decrease adverse effects, we prepared liposomes co-encapsulating doxorubicin (DXR) and mifepristone (MIF) (DXR/MIF-LPs) for treating MDR cancer and evaluated the MDR reversal effect in DXR-resistant Colon-26 cancer cells (C26/DXR). Liposomal encapsulation was performed using remote loading methods: amphipathic DXR was encapsulated using the ammonium sulfate gradient method, whereas hydrophobic MIF was encapsulated in preformed liposomes by incubating with water-miscible dimethyl sulfoxide. Both drugs were successfully encapsulated in liposomes by simultaneously incubating with blank liposomes without remarkably altering the particle size. The release of each drug from DXR/MIF-LPs corresponded to that from liposomes encapsulating a single drug, indicating that drug encapsulation did not influence drug release. Treatment with MIF did not impact the overexpression of P-glycoprotein (P-gp) in C26/DXR cells. However, DXR/MIF-LPs increased the cellular association of DXR and enhanced cytotoxicity compared with liposomes encapsulating DXR against C26/DXR cells, indicating that MIF inhibits P-gp function and increases the cytotoxicity of DXR in MDR cells. Collectively, our findings suggest that the co-delivery of DXR and MIF using a liposomal formulation is a promising approach for reversing MDR.

Lactate-induced lactylation circularly regulates glucose metabolism enzymes in breast cancer.

e13092 Background: Breast cancer is the most common malignant tumor in the female population worldwide and has become the disease with the highest cancer-related mortality. Among the molecular subtypes of breast cancer, triple-negative breast cancer accounts for only 15% of primary malignancies, but due to its increasing recurrence, metastasis, and mortality, we need to find new therapeutic targets to address this phenomenon. Analysis from the field of metabolism found that the level of glycolysis in triple-negative breast cancer was significantly higher than that in other cancers. Glycolysis is a common malignant phenotype of cancer, namely the famous Warburg effect. LDHA is the last metabolic enzyme in the glycolytic pathway, and its expression is increased in triple-negative breast cancer. Lactate is the final product of glycolysis, which converts pyruvate to lactate and NADH to NAD+ under the catalysis of LDHA. The acidic tumor microenvironment formed by the accumulation of lactate will not only affect the progression of tumors and the therapeutic effect of anticancer drugs, but also inhibit the function of immune cells. Lactic acid groups can bind to histones and non-histone proteins to produce a new post-translational modification, lactylation. Methods: Breast cancer cells were infected with lentivirus vectors overexpressing or knocking down LDHA, and cell proliferation and cytotoxicity assay, transwell assay and Lactic Acid Content Assay were performed. To further explore the presence of lactylation of LDHA, immunoprecipitation experiments were performed and the modification sites were mutated to examine the enzymatic activity and function of LDHA. Results: In triple negative breast cancer with strong glycolytic metabolic phenotype, altering LDHA level can affect the biological function of breast cancer cells. Secondly, RNA-seq sequencing results showed that LDHA can affect the protein and transcription levels of MEST and CSTA. Finally, the lactylation of histones was also significantly changed after LDHA dysregulated. Reduced levels of LDHA were accompanied by reduced levels of MEST, CSTA, and histone lactylation. In addition, LDHA itself also has lactic acid modification, and mutations in the modification sites can change the enzymatic activity and function of LDHA. Conclusions: The regulatory axis of LDHA-lactate-lactylation has important value and function in the occurrence and development of breast cancer. LDHA regulates the function of some genes by lactate-induced lactylation of histones. In addition, the lactylation of LDHA can alter the enzyme activity, which may be a new therapeutic target for breast cancer.

Efficient pH-Responsive Nano-Drug Delivery System Based on Dynamic Boronic Acid/Ester Transformation.

Chemotherapy is currently one of the most widely used treatments for cancer. However, traditional chemotherapy drugs normally have poor tumor selectivity, leading to insufficient accumulation at the tumor site and high systemic cytotoxicity. To address this issue, we designed and prepared a boronic acid/ester-based pH-responsive nano-drug delivery system that targets the acidic microenvironment of tumors. We synthesized hydrophobic polyesters with multiple pendent phenylboronic acid groups (PBA-PAL) and hydrophilic PEGs terminated with dopamine (mPEG-DA). These two types of polymers formed amphiphilic structures through phenylboronic ester linkages, which self-assembled to form stable PTX-loaded nanoparticles (PTX/PBA NPs) using the nanoprecipitation method. The resulting PTX/PBA NPs demonstrated excellent drug encapsulation efficiency and pH-triggered drug-release capacity. In vitro and in vivo evaluations of the anticancer activity of PTX/PBA NPs showed that they improved the pharmacokinetics of drugs and exhibited high anticancer activity while with low systemic toxicity. This novel phenylboronic acid/ester-based pH-responsive nano-drug delivery system can enhance the therapeutic effect of anticancer drugs and may have high potential for clinical transformations.

Efficacy of chemotherapy for comorbid cancer in patients with simultaneous double cancers: a multicenter study.

Anticancer drugs for double cancers are selected based on their therapeutic effects on the target cancer, but there are insufficient data on the effects of anticancer drugs on comorbid cancer. We investigated the effect of chemotherapy on comorbid cancer in patients with simultaneous double cancers. The subjects of this retrospective study were 51 patients with simultaneous double cancers at the time of receiving systemic chemotherapy. We evaluated the types of anticancer drugs used for double cancers, the therapeutic effects on targeted and comorbid cancers, and prognoses. Disease control was achieved for 90.9% of the target cancers and 90.7% of the comorbid cancers. The prognosis was significantly better when the disease was controlled, not only in the target cancer but also in the comorbid cancer. Physicians treating double cancers should develop treatment strategies focusing not only on the treatment for advanced cancer, but also on the course of comorbidities and the therapeutic effects of anticancer drugs. This study is important because it presents new possibilities to expand the indications for anticancer drugs, while allowing unnecessary clinical research to be avoided.

Genome-wide CRISPR Screening Reveals Pyrimidine Metabolic Reprogramming in 5-FU Chronochemotherapy of Colorectal Cancer.

ObjectiveDisruption of the circadian rhythm is associated with cancer occurrence, response to chemotherapy, and poor prognosis. Thus, using internal clock-based chronotherapy to optimize the administration time may improve the therapeutic effects of anticancer drugs while reducing the side effects. Chronotherapy with 5-fluorouracil (5-FU) has been observed in colorectal cancer (CRC) for a long time, but its effect is under controversial and the mechanism remains unclear.MethodsGenome-wide clustered regularly interspaced short palindromic repeats (CRISPR) screening and RNA-sequencing were combined to identify the potential genes or pathways involved in 5-FU chronochemotherapy. Genetic deletion or overexpression of pyrimidine metabolic pathway genes were conducted to examine cellular viability with or without 5-FU via flow cytometry. Western blotting, qPCR, chromatin immunoprecipitation, gain-of-function and loss-of-function assays of several CRC cell lines in vitro and in vivo were used to elaborate and validate the mechanism of 5-FU chronotherapeutic effects.ResultsChronochemotherapeutic effects of 5-FU on CRC in vivo were verified. Furthermore, 5-FU chronochemotherapy related genes such as UPP2, UCK2 and UMPS in the pyrimidine metabolic pathway were identified. Disturbance in these genes, especially UMPS, perturbs 5-FU treatment outcomes in CRC cells. Mechanistically, the core circadian gene, brain and muscle aryl hydrocarbon receptor nuclear translocator-like protein-1 (BMAL1), extensively regulate gene expression in pyrimidine metabolic pathway by binding to E-box element in the promoter region of key genes such as UMPS and perturb their enzymatic activities, thereby maintain diurnal efficacy of 5-FU in CRC cells.ConclusionThis study uncovered a new mechanism by which a core circadian gene BMAL1 increases the effectiveness of 5-FU by enhancing the expression and enzymatic activities of key genes in the pyrimidine metabolic pathway in CRC cells. The findings suggest a novel strategy for CRC chemotherapy by targeting chrono-modulated genes of the 5-FU metabolic pathway.

Current aspects of systematics, diagnosis and treatment of breast cancer

The purpose of the study was to mine, compile and analyze the published data on breast cancer (BC) systematization, diagnosis and treatment. In the current review, modern approaches in BC subtypes diagnosis based on genomic profiling, miRNA expression pattern analysis, SNP analysis in BRCA1 and BRCA2 genes, as well as proteomic mapping as essential components of the disease peculiarities improving the prognostic outcome were compiled and analyzed. Further, tumor-initiating stem-like cells as a factor affecting both prognosis and treatment choice for BC are considered and evaluated. And finally, modern principles of enhancing tumor sensitivity to therapeutic effects of anticancer drugs, which comprise the use of cytostatics in condensed modes, combining drugs, which exert different mechanisms of cytotoxicity, as well as the introduction of new chemotherapy drugs into therapeutic practice, including those targeted against the common metabolic pathways both in stem-like and committed breast cancer cells, are compiled and discussed. The analysis indicates that the current paradigm in BC treatment is development and implementation of the newest methods for diagnosis of BC sybtypes, which, being combined with those already implemented, would allow the administration of treatment according to the individual peculiarities of a tumor.

Current and Future Advancements of Raman Spectroscopy Techniques in Cancer Nanomedicine.

Raman scattering is one of the most used spectroscopy and imaging techniques in cancer nanomedicine due to its high spatial resolution, high chemical specificity, and multiplexity modalities. The flexibility of Raman techniques has led, in the past few years, to the rapid development of Raman spectroscopy and imaging for nanodiagnostics, nanotherapy, and nanotheranostics. This review focuses on the applications of spontaneous Raman spectroscopy and bioimaging to cancer nanotheranostics and their coupling to a variety of diagnostic/therapy methods to create nanoparticle-free theranostic systems for cancer diagnostics and therapy. Recent implementations of confocal Raman spectroscopy that led to the development of platforms for monitoring the therapeutic effects of anticancer drugs in vitro and in vivo are also reviewed. Another Raman technique that is largely employed in cancer nanomedicine, due to its ability to enhance the Raman signal, is surface-enhanced Raman spectroscopy (SERS). This review also explores the applications of the different types of SERS, such as SERRS and SORS, to cancer diagnosis through SERS nanoprobes and the detection of small-size biomarkers, such as exosomes. SERS cancer immunotherapy and immuno-SERS (iSERS) microscopy are reviewed.

Targeting Drug Chemo-Resistance in Cancer Using Natural Products.

Cancer is one of the leading causes of death globally. The development of drug resistance is the main contributor to cancer-related mortality. Cancer cells exploit multiple mechanisms to reduce the therapeutic effects of anticancer drugs, thereby causing chemotherapy failure. Natural products are accessible, inexpensive, and less toxic sources of chemotherapeutic agents. Additionally, they have multiple mechanisms of action to inhibit various targets involved in the development of drug resistance. In this review, we have summarized the basic research and clinical applications of natural products as possible inhibitors for drug resistance in cancer. The molecular targets and the mechanisms of action of each natural product are also explained. Diverse drug resistance biomarkers were sensitive to natural products. P-glycoprotein and breast cancer resistance protein can be targeted by a large number of natural products. On the other hand, protein kinase C and topoisomerases were less sensitive to most of the studied natural products. The studies discussed in this review will provide a solid ground for scientists to explore the possible use of natural products in combination anticancer therapies to overcome drug resistance by targeting multiple drug resistance mechanisms.

In vitro evaluation of curcumin-loaded chitosan-coated hydroxyapatite nanocarriers as a potential system for effective treatment of cancer

Nanotechnology has many potential applications in cancer treatment. For example, nano-drug delivery systems (NDDS) with high bioavailability, biodegradability, and biocompatibility have been developed, in order to increase the therapeutic effects of anticancer drugs. Among these NDDS, high-performance hydroxyapatite (HA) nanoparticles are rapidly advancing in the targeted cancer treatment due to their numerous benefits. Curcumin is an herbal metabolite that acts as a chemical inhibitor through the inhibition of tumor cells and the progression of many cancers. However, the poor bioavailability of curcumin is the most important challenge in using this substance. In this study, HA nanoparticles coated by chitosan were used as a pH-sensitive biopolymer to improve the efficiency and bioavailability of curcumin. For this purpose, HA nanoparticles were first synthesized by the sol-gel method. Then, a layer of chitosan was coated on it, and the curcumin drug was encapsulated in the nanocarrier, under controlled conditions. Techniques such as scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier transform infrared spectroscopy (FTIR) were used to characterize the nanocarriers. In the second part, nano-drugs prepared by various bioassays were examined. For this purpose, the rate of cytotoxicity by the methyl-thiazol-tetrazolium (MTT) assay and the rate of apoptosis induction by the acridine orange and ethidium bromide (AO/EB) staining method on the brain carcinoma U87MG cell line were investigated.

Branched-chain amino acid to tyrosine ratio is an essential pre-treatment factor for maintaining sufficient treatment intensity of lenvatinib in patients with hepatocellular carcinoma.

Lenvatinib was recently approved as a novel agent for hepatocellular carcinoma. To maximize the therapeutic effect of anticancer drugs, it is essential to maintain treatment intensity by avoiding dose reduction or discontinuation. We aimed to identify essential factors contributing to achieve sufficient treatment intensity of lenvatinib. Seventy-one patients who received treatment with lenvatinib were included in this study. We used the delivered dose intensity/body surface area ratio (DBR) to measure treatment intensity of lenvatinib. 2M-DBR (DBR for the first 60days) of lenvatinib (≥206.7) was strongly correlated with objective response and was the significant factor contributing to prolonged progression-free survival (PFS). Patients with high 2M-DBR had significantly prolonged PFS compared with those who had low 2M-DBR (P<.001). Multivariate analysis revealed that pre-treatment α-fetoprotein and branched-chain amino acid to tyrosine ratio (BTR) were significant factors in maintaining high 2M-DBR of lenvatinib. Furthermore, patients with high pre-treatment BTR (≥4.50) showed significantly longer PFS than those with low BTR (P=.032). Maintaining high 2M-DBR of lenvatinib is essential to increase response rate and PFS. To achieve high 2M-DBR levels, preservation of pre-treatment BTR is essential, suggesting the importance of nutritional management in the treatment for hepatocellular carcinoma with lenvatinib.

Understanding of ROS-Inducing Strategy in Anticancer Therapy.

Redox homeostasis is essential for the maintenance of diverse cellular processes. Cancer cells have higher levels of reactive oxygen species (ROS) than normal cells as a result of hypermetabolism, but the redox balance is maintained in cancer cells due to their marked antioxidant capacity. Recently, anticancer therapies that induce oxidative stress by increasing ROS and/or inhibiting antioxidant processes have received significant attention. The acceleration of accumulative ROS disrupts redox homeostasis and causes severe damage in cancer cells. In this review, we describe ROS-inducing cancer therapy and the anticancer mechanism employed by prooxidative agents. To understand the comprehensive biological response to certain prooxidative anticancer drugs such as 2-methoxyestradiol, buthionine sulfoximine, cisplatin, doxorubicin, imexon, and motexafin gadolinium, we propose and visualize the drug-gene, drug-cell process, and drug-disease interactions involved in oxidative stress induction and antioxidant process inhibition as well as specific side effects of these drugs using pathway analysis with a big data-based text-mining approach. Our review will be helpful to improve the therapeutic effects of anticancer drugs by providing information about biological changes that occur in response to prooxidants. For future directions, there is still a need for pharmacogenomic studies on prooxidative agents as well as the molecular mechanisms underlying the effects of the prooxidants and/or antioxidant-inhibitor agents for effective anticancer therapy through selective killing of cancer cells.

Ultrasensitive amperometric cytosensor for drug evaluation with monitoring early cell apoptosis based on Cu2O@PtPd nanocomposite as signal amplified label

It is significant to monitor the early stage of apoptosis and evaluate the therapeutic effect of anticancer drugs in the diagnostic of cancer. Here, an electrochemical cytosensor with signal amplified strategy was constructed to quantitatively detect the concentration of early apoptotic cells and respond to therapy of anticancer drugs. To fabricate the platform, cuprous oxide (Cu2O) cube was utilized as a large platform for loading platinum-palladium nanoparticles (PtPd NPs) to prepare the Cu2O@PtPd nanocomposites. The formed nanocomposite was not only acted as signal amplified molecules towards the reduction of H2O2 by synergistic effect but also possessed large specific area to conjugate concanavalin A (Con A), which specifically interacted with the cell-surface carbohydrate. What’s more, the porous graphene oxide-Au (PGO-Au) nanocomposites were modified onto working electrode to improve the efficiency of electron transfer. Meanwhile, the PGO-Au nanocomposite was served as effective matrix to couple annexin V through Au-N bond to capture apoptotic cells owing to the specific interaction between phosphatidylserine (PS) on the cell surface and annexin V. In this system, A549 cell was chosen as model cells and cisplatin acted as apoptotic inducer. The proposed amperometric cytosensor exhibited a wide range detection of early apoptotic cells from 50 to 5 × 107 cells mL−1. Meanwhile, the detection limit was down to 20 cells mL−1. It also showed high specificity, acceptable sensitivity and good reproducibility, which had promising potential for the early evaluation of therapeutic effect.

Abstract 3707: 2D organoid (2DO) as human tumor model for predicting therapeutic effect of anti-cancer drugs

Abstract Primary cultured cells derived from an individual patient’s tumor have phenotypic heterogeneity unlike established cancer cell lines. We established organoid in two-dimensional (2D) culture with the reproducibility of clinical phenotypic heterogeneity as a human tumor model, named isolated tumor-derived cancer cells (iCCs). The success rate of iCC growth in vitro was 100%, passage was 90%, and establishment of a xenograft model from iCC was 80%. Established 2DO can proliferate well, and are easier to use in several assays compared with reported organoid in 3D culture. However, established 2DO also can be easily cultured in a 3D culture system. iCC populations were analyzed by flow cytometry. Most iCCs expressed epithelial cell adhesion molecule (EpCAM), and the high- and low-expressing CD44 groups were identified. Seral markers were examined, and we reviled that TRA1-81-positive cells in the high-expressing CD44 group were necessary for replicating clinical tumor heterogeneity. Moreover, basic fibroblast growth factor (bFGF) was necessary to keep TRA1-81-positive cells. Next, we did anticancer drug assay using iCCs from 10 patients and predicted the clinical efficacy of drugs. Six patients received chemotherapy after their surgery, and four patients of them had distant metastases. The in vitro sensitivity was compared to clinical outcomes (RECIST criteria) in four patients that all had distant metastases. The concentration of anti-cancer drugs was set as estimated concentration in human tissue. In the examination using 5-FU and oxaliplatin, the survival rates of iCCs were more than 85% in one progressive disease (PD) patient. The survival rates of iCCs were less than 83% in three stable disease (SD) patients (median, 70%). The survival rates were also less than 83% in two patients who underwent adjuvant chemotherapy with no recurrence (median 70%). After 3 months chemotherapy, PD patient’s cell survival rates were more than 85%, and SD patient’s cell survival rates were less than 83%. After 6 months chemotherapy, PD patient’s cell survival rates were more than 81%, and SD patient’s cell survival rates were less than 75%. Therefore, the cut-off value was considered to be 83-85% for 3 months to keep SD, and 75-80% for 6 months. However, more examination is need to develop a prediction model we can use as a clinical application. In conclusion, our primary culture model may be a novel tool as a human tumor model with tumor heterogeneity, and it will be used to predict therapeutic effect of anti-cancer drugs in the clinical field. Citation Format: Shiki Fujino, Norikatsu Miyoshi, Kazuhiro Saso, Masaru Sasaki, Masayoshi Yasui, Masayuki Ohue, HIdekazu Takahashi, Naotsugu Haraguchi, Chu Matsuda, Taishi Hata, Tsunekazu Mizushima, Masaki Mori, Yuichiro Doki. 2D organoid (2DO) as human tumor model for predicting therapeutic effect of anti-cancer drugs [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3707.

Co-encapsulation of curcumin and doxorubicin in albumin nanoparticles blocks the adaptive treatment tolerance of cancer cells

The adaptive treatment tolerance (ATT) of cancer cells is the main encumbrance to cancer chemotherapy. A potential solution to this problem is to treat cancer cells with multiple drugs using nanoparticles (NPs). In this study, we tested the co-administration of curcumin (Cur) and doxorubicin (Dox) to MCF-7 resistant breast cancer cells to block the ATT and elicit efficient cell killing. Drugs were co-administered to cells both sequentially and simultaneously. Sequential drug co-administration was carried out by pre-treating the cells with albumin nanoparticles (ANPs) loaded with Cur (Cur@ANPs) followed by treatment with Dox-loaded ANPs (Dox@ANPs). Simultaneous drug co-administration was carried out by treating the cells with ANPs loaded with both the drugs (Cur/Dox@ANPs). We found that the simultaneous drug co-administration led to a greater intra-cellular accumulation of Dox and cell killing with respect to the sequential drug co-administration. However, the simultaneous drug co-administration led to a lower intra-cellular accumulation of Cur with respect to the sequential drug co-administration. We showed that this result was due to the aggregation and entrapment of Cur in the lysosomes as soon as it was released from Cur@ANPs, a phenomenon called lysosomotropism. In contrast, the simultaneous release of Dox and Cur from Cur/Dox@ANPs into the lysosomes led to lysosomal pH elevation, which, in turn, avoided Cur aggregation, led to lysosome swelling and drug release in the cytosol, and finally provoked efficient cell killing. Our study shed the light on the molecular processes driving the therapeutic effects of anti-cancer drugs co-administered to cancer cells in different manners.

HOXB4 knockdown enhances the cytotoxic effect of paclitaxel and cisplatin by downregulating ABC transporters in ovarian cancer cells

Therapeutic effects of anti-cancer drugs for ovarian cancer were limited due to the rapid development of chemotherapy resistance. The aim of this study was to test whether knockdown of Homeobox B4 (HOXB4) enhanced the cytotoxic effect of paclitaxel and cisplatin in ovarian cancer cells. HOXB4 expressions at mRNA and protein levels were upregulated in Taxol-resistant A2780 (A2780/Taxol) and DDP-resistant SKOV-3 (SKOV-3/DDP) cells. HOXB4 knockdown enhanced the cytotoxic effects of Taxol and DDP in A2780/Taxol and SKOV-3/DDP cells, respectively. HOXB4 silencing suppressed the phosphatidylinositol 3-kinase (PI3K)/Akt signaling pathway and reduced the expression of ABCB1, ABCC1 and ABCG2 in ovarian cancer cells. PI3K inhibitor LY294002 or siRNA targeting Akt (si-Akt) treatment inhibited cell viability, decreased protein levels of ABCB1, ABCC1 and ABCG2, and increased LDH release in A2780/Taxol and SKOV-3/DDP cells. These findings revealed that HOXB4 knockdown enhanced the cytotoxic effects of Taxol and DDP by downregulating ABC transporters via inhibiting the PI3K/Akt pathway in ovarian cancer cells.