Treatment Of Cancer Research Articles

Cancer on motors: How kinesins drive prostate cancer progression?

Prostate cancer causes numerous male deaths annually. Although great progress has been made in the diagnosis and treatment of prostate cancer during the past several decades, much about this disease remains unknown, especially its pathobiology. The kinesin superfamily is a pivotal group of motor proteins, that contains a microtubule-based motor domain and features an adenosine triphosphatase activity and motility characteristics. Large-scale sequencing analyses based on clinical samples and animal models have shown that several members of the kinesin family are dysregulated in prostate cancer. Abnormal expression of kinesins could be linked to uncontrolled cell growth, inhibited apoptosis and increased metastasis ability. Additionally, kinesins may be implicated in chemotherapy resistance and escape immunologic cytotoxicity, which creates a barrier to cancer treatment. Here we cover the recent advances in understanding how kinesins may drive prostate cancer progression and how targeting their function may be a therapeutic strategy. A better understanding of kinesins in prostate cancer tumorigenesis may be pivotal for improving disease outcomes in prostate cancer patients.

Naringenin-Loaded Bovine Serum Albumin Nanoparticles Inhibit Reactive Oxygen Species (ROS) to Prevent Ulcer and Gastric Cancer

Gastric cancer is a malignance of digestive system and effective treatment measures are key to treatment of gastric cancer. In this experiment, we assessed the effect of bovine serum albumin nanoparticle (BASNP)-coated naringenin (NGN) on reactive oxygen species (ROS) in gastric cancer. After preparation of NGN-BASNP and animal model of gastric cancer, rats were administered with NGN-BASNP, ROS agonists and ROS inhibitors, when the model group was set. After one week of intervention, gastric ulcers in rats were measured and Hematoxylin-eosin (HE) staining was performed. Transwell chamber was used to detect cell invasion ability, while 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) was detected proliferation ability of gastric cancer cells. Real Time Quantitative Polymerase Chain Reaction (RT-qPCR) and Western blot determined TNF-α mRNA expression and ROS. With about 100 nm diameter of NGN-BASNP nanoparticles, the nanoparticles presented in good shape. Compared with lesions in the model group, NGN-BASNP treatment greatly improved the condition, relieving the ulcer and decreasing the ulcer area (P < 0.05). After adding ROS agonist, inhibitory effect of NGN-BASNP intervention was amplified (P < 0.01) when the ROS level in the NGN-BASNP+ROS agonist group was decreased and TNF-α expression decreased. Moreover, NGN-BASNP effectively suppressed gastric cancer cell proliferation and migration but induced apoptosis. NGN-BASNP inhibited the expression of TNF-α mRNA and ROS level in gastric cancer cells, thereby alleviating gastric ulcer and delaying gastric cancer cell growth.

Effect of Licorice Extract and Manganese Oxide Biosynthesis in the Treatment of Stomach Cancer

Effect of Licorice Extract and Manganese Oxide Biosynthesis in the Treatment of Stomach Cancer

Paclitaxel Inhibits Thyroid Cancer by Regulating AMPK/mTOR and Promoting Ferroptosis

Aim at probe into the mechanisms of paclitaxel inhibition in thyroid cancer. Cell viability was detected via CCK8 assay, KTC-1 proliferation, migration, invasion were detected via colony formation, wound healing as well as transwell assay. Flow cytometry measure the cell cycle and apoptosis, protein expression was detected with Western blot. Iron ions, GSH and MDA were detected by corresponding assay kits, respectively. ROS levels was detected with a fluorescence probe. KTC-1 cells viability decreased significantly when treated with 500 nM paclitaxel, and the proliferation, migration as well as invasion abilities were also significantly weakened. Moreover, paclitaxel induced KTC-1 cell mitosis arrest in G2/M phase to inhibited cell mitosis, and significantly increased the apoptosis. We also found paclitaxel treatment activated AMPK/mTOR signaling pathway, and iron ion, MDA as well as ROS level were significantly increased, while GSH level and expression of GPX4 protein was notably decreased in paclitaxel-treated KTC-1 cells. Our research shows that paclitaxel significantly inhibits the viability, proliferation, migration as well as invasion of KTC-1 cells via activating the AMPK/mTOR signaling pathway, and increase oxidative stress in KTC-1 cells, inducing ferroptosis in KTC-1 cells, providing new support for paclitaxel in the treatment of thyroid cancer.

Efficacy of Chemoimmunotherapy versus Chemotherapy for Gastric Cancer: A Meta-Analysis of Survival Outcomes.

Gastric cancer has been traditionally treated with chemotherapy as the primary mode of treatment. However, recent studies have shown that chemoimmunotherapy is also effective and, in some cases, better than chemotherapy treatment. Current study aimed to find the efficacy of chemoimmunotherapy versus chemotherapy in the treatment of gastric cancer. Using electronic databases, including PubMed, Embase, and EBSCO, a thorough literature search was carried out for the years 2006 to 2023. The search strategy was designed to identify relevant studies based on chemoimmunotherapy and chemotherapy intervention, and the search was conducted using appropriate keywords and MeSH terms. The retrieved studies were screened for relevance based on their titles, abstracts, and full texts. The studies' inclusion criteria were predefined, and the selected studies were then subjected to a quality assessment using GradePro GDT. The data from selected studies were extracted and analyzed using Revman version 5.4. The study found that chemoimmunotherapy treatment resulted in a significant improvement in overall survival (OS) with a risk ratio (RR) of 1.54 and a 95% Confidence Interval (CI) of 1.25 to 1.89. The overall effect was also found to be significant, with a p-value of less than 0.001. Furthermore, we also observed an improvement in the 1-year, 3-year, and 5-year survival rates with risk ratio (RR) of 1.09 (95% CI: 1.01, 1.17), 1.43 (95% CI: 1.28, 1.60), and 1.59 (95% CI: 1.10, 2.30), respectively. In addition, it's also found that chemoimmunotherapy treatment also resulted in an improvement in DFS with an RR of 1.94 and a 95% CI of 1.44 to 2.59. Overall, these results suggest that chemoimmunotherapy treatment can be an effective approach in comparison to chemotherapy for improving overall survival and disease-free survival in the studied population. This study comparing chemoimmunotherapy versus chemotherapy for gastric cancer showed that both treatments were effective, but chemoimmunotherapy had more significant efficacy. To support these results, additional studies with a large sample size and a longer follow-up time are required.

A Short Appraisal of Magnetic Nanoparticles for Breast Cancer: In vitro and In vivo Research.

The increasing incidence of breast cancer and the associated morbidity due to higher metastasis created the urge to develop a nanocarrier that can be used as a potent therapeutic carrier with targeting efficacy. The use of superparamagnetic nanoparticles in breast cancer research and treatment has gained considerable attention in recent years. Magnetic nanoparticles (MNPs) can be used to construct nanocarriers since they possess superior properties such as superparamagnetism, easy surface functionalization to attach ligands, and non-immunogenic. MNPs are superior carriers that are used to target cancer cells without harming the normal cells in the body, which leads to therapeutic efficacy in the body. Along with their established anticancer potential and enhanced drug concentration at endosomal pH, the superparamagnetic property of MNPs was further exploited for their applications in reticuloendothelial uptake, drug delivery, medical imaging, and theranostics applications in breast cancer. Moreover, the clinical translational of MNPs, along with future prospects and key challenges in vivo, have been duly presented in the final review. The scientists preferred the ongoing research in MNPs due to their high biocompatibility and ease of targeting at molecular and cellular levels. The review highlighted the in vitro and in vivo research and patent supported data for potential use of MNPs for the treatment of breast cancer.

2D QSAR Modelling, Docking, Synthesis and Evaluation of 2-substituted Benzimidazole Derivatives as Anti-breast Cancer Agents

Background: Cancer is a leading cause of death worldwide and is anticipated to reach 28,4 million fresh cases globally by 2040. Despite all the progress made in cancer prevention, diagnosis, and treatment, mortality by cancer is in second place. Objectives: The design of novel 2-substituted benzimidazole modelled by QSAR study. Molecular docking studies on the novel derivatives and synthesis characterization and evaluation of the anticancer activity of the novel derivatives against breast cancer cell line MCF 7. Methods: We designed 10 novel benzimidazole derivatives modeled by 2D QSAR. From the ten compounds by applying insilico tools of ADME properties and toxicity and through molecular docking on Tyrosine Kinase (PDB ID: 2SRC). Compound 2AD showed the highest dock score of -9.5 kcal/mol followed by 2 BD and 2GD (-9.3kcal/mol) Molecular dynamic simulation studies were conducted using CABSflex an online molecular dynamic simulation tool. Six compounds were selected for synthesis. The synthesized compounds were characterized and the invitro pharmacological activity was tested on MCF-7 cell line by MTT assay. Results: The compounds 2AD and 2GD showed good percentage inhibition on MCF-7 cell line withIC50 values of 2.757 µg/ml and 2.875 µg/ml respectively. Conclusion: The novel 2-substituted benzimidazole derivatives are good lead compounds for cancer therapy. Optimization of these compounds will be providing more target-specific anticancer agents.

Ethnopharmacological Survey of Medicinal Plants Used by Local Herbalists and Traditional Healers for the Treatment of Cancer in Jordan

Background: As many Jordanians include herbs in their treatment, an ethnopharmacological survey was conducted to identify the most prescribed plants for the treatment of cancer by local herbalists and traditional healers in Jordan, aiming to encourage the prescription that is based on scientific evidence, to tackle some important practices in traditional healing, and to provide candidates for the isolation of new anticancer agents. Methods: Thirty-two Jordanian herbalists and traditional healers were interviewed. Both the use value and frequency of citation were implemented as quantitative methods to demonstrate the relative importance of a chosen species for the treatment of cancer. Furthermore, literature was screened for evidences that supported or opposed the use of the plants of interest Results: It was revealed that 31 plants are currently used in Jordan for the treatment of cancer, with Curcuma longa and Ephedra foeminea being the most used ones. Conclusions: It was noticed that the use of many prescribed plants could be rationalised by in vitro and/or in vivo studies. However, more attention should be paid by practitioners to some important aspects, such as the method of use and preparation of plants, their interaction with chemotherapeutic agents and the differences in their efficacy against different cancer types.

Preparation, Characterization, and Evaluation of the Anticancer Effect of Mesoporous Silica Nanoparticles Containing Rutin and Curcumin.

The aim of this study was the preparation of mesoporous silica nanoparticles co-loaded with rutin and curcumin (Rut-Cur-MSNs) and the assessment of its physicochemical properties as well as its cytotoxicity on the head and neck cancer cells (HN5). Besides, ROS generation of HN5 cells exposed to Rut-Cur-MSNs was evaluated. Several investigations showed that rutin and curcumin have potential effects as anticancer phytochemicals; however, their low aqueous solubility and poor bioavailability limited their applications. The assessment of physicochemical properties and anticancer effect of prepared nanoparticles was the objective of this study. The physicochemical properties of produced nanoparticles were evaluated. The toxicity of Rut-Cur-MSNs on HN5 cells was assessed. In addition, the ROS production in cells treated with Rut-Cur-MSNs was assessed compared to control untreated cells. The results showed that Rut-Cur-MSNs have mesoporous structure, nanometer size and negative surface charge. The X-ray diffraction pattern showed that the prepared nanoparticles belong to the family of silicates named MCM-41. The cytotoxicity of Rut-Cur-MSNs at 24 h was significantly higher than that of rutin-loaded MSNs (Rut-MSNs) and curcumin-loaded MSNs (Cur-MSNs) (p<0.05). The achieved results recommend that the prepared mesoporous silica nanoparticles containing rutin and curcumin can be a useful nanoformulation for the treatment of cancer. The produced nanomaterial in this study can be helpful for cancer therapy.

Recent Advances in Chemistry, Mechanism, and Applications of Quantum Dots in Photodynamic and Photothermal Therapy.

Semiconductor quantum dots (QD) are a kind of nanoparticle with unique optical properties that have attracted a lot of attention in recent years. In this paper, the characteristics of these nanoparticles and their applications in nanophototherapy have been reviewed. Phototherapy, including photodynamic therapy (PDT) and photothermal therapy (PTT), has gained special importance because of its high accuracy and local treatment due to the activation of the drug at the tumor site. PDT is a new way of cancer treatment that is performed by activating light-sensitive compounds named photosensitizers (PS) by light. PSs cause the destruction of diseased tissue through the production of singlet oxygen. PTT is another non-invasive method that induces cell death through the conversion of near-infrared light (NIR) into heat in the tumor situation by the photothermal agent (PA). Through using energy transfer via the FRET (Förster resonance energy transfer) process, QDs provide light absorption wavelength for both methods and cover the optical weaknesses of phototherapy agents.

Study on Correlation and Mechanism of Procollagen Lysine 2 Oxoglutarate 5 Dioxygenase on Stem Cell Characteristics and Vasculogenic Mimicry Formation in Esophageal Squamous Cell Carcinoma

In this study, we investigated the significance of the stem cell transcription factor PLOD2 in esophageal cancer to enhance our understanding of its occurrence, development, recurrence, metastasis, and potential treatment. We conducted the following experiments: (1) Immunohistochemistry revealed elevated PLOD2 protein levels in esophageal carcinoma compared to adjacent tissues, with higher levels associated with advanced disease stages and lower differentiation. (2) Immunofluorescence demonstrated increased PLOD2 expression in esophageal cancer cell lines TE-1 and Eca- 109, suggesting a connection to cell differentiation. (3) We successfully transfected fluorescently labeled PLOD2 siRNA into cells, achieving a transfection rate of 67.57% and silencing efficiency exceeding 80%. (4) Following transfection, we observed a decreased proliferation rate in PLOD2 siRNA-treated cells, indicating that PLOD2 reduction can slow esophageal cancer growth. These findings emphasize that PLOD2 plays a crucial role in esophageal cancer pathogenesis, particularly in low cell differentiation maintenance. It could serve as a promising target for inducing differentiation in esophageal cancer and evaluating its malignancy. The high PLOD2 expression in esophageal cancer cell lines suggests the presence of tumor stem cells. Moreover, reducing PLOD2 through RNAi technology slows cell proliferation, suggesting that inhibiting PLOD2 may offer a potential therapeutic approach for esophageal cancer treatment.

Combination of Etoposide and Quercetin-Loaded Solid Lipid Nanoparticles Potentiates Apoptotic Effects on MDA-MB-231 Breast Cancer Cells

BackgroundBreast cancer is a major global cancer, for which radiation and chemotherapy are the main treatments. Natural remedies are being studied to reduce the side effects. Etoposide (ETO), a chemo-drug, and quercetin (QC), a phytochemical, are considered potential factors for adaptation to conventional treatments. ObjectivesThe anticancer effect of the synergy between ETO and Quercetin-loaded solid lipid nanoparticles (QC-SLNs), was investigated in MDA-MB-231 cells. MethodsWe developed QC-SLNs for efficient cellular delivery, characterizing their morphology, particle size, and zeta potential. We assessed the cytotoxicity of QC-SLNs and ETO on breast cancer cells via the MTT assay. Effects on apoptosis intensity in MDA-MB-231 cells have been detected utilizing annexin V-FITC, PI, and caspase activities. Real-time PCR assessed Bax gene and Bcl-2 gene fold change expression, while Western blot analysis determined p53 and p21 protein levels. ResultsSpherical, negatively charged QC-SLNs, when combined with ETO, significantly enhanced inhibition of MDA-MB-231 cell proliferation compared to ETO or QC-SLNs alone. The combined treatment also notably increased the apoptosis pathway. QC-SLNs + ETO increased the Bax/Bcl-2 gene ratio, elevated p53 and p21 proteins, and activated caspase 3 and 9 enzymes. These results indicate the potential for QC-SLNs + ETO as a strategy for breast cancer treatment, potentially overcoming ETO-resistant breast cancer chemoresistance. ConclusionThese results suggest that QC-SLN has the potential to have a substantial impact on the breast cancer cure by improving the efficacy of ETO. This enhancement could potentially help overcome chemoresistance observed in ETO-resistant breast cancer.

Evolving Landscape of Ethics in Oncology: A Journey Through the Past, Present, and Future.

Providing a brief overview of past, present, and future ethics issues in oncology, this article begins with historical contexts, including the paternalistic approach to cancer care. It delves into present-day challenges such as navigating cancer treatment during pregnancy and addressing health care disparities faced by LGBTQ+ individuals. It also explores the ethical implications of emerging technologies, notably artificial intelligence and Big Data, in clinical decision making and medical education.

Validation on selected breast cancer drugs of physicochemical features by using machine learning models

Breast cancer is one of the leading causes of death among females today. The elbow approach determines the ideal number of clusters after determining that the Dataset is highly cluster able with the Hopkins statistic. Three distinct groups with distinct differences were produced using the dataset's proposed expectation maximization fuzzy k-means clustering algorithm (PEMFKM). Different fuzzy clustering techniques, such as fuzzy k-means (FKM), fuzzy k-means with entropy (FKM.ENT), fuzzy k-means with entropy and noise (FKM.ENT.NOISE), Gustafson and Kessel - like fuzzy k-means (FKM.GK), Gustafson and Kessel - like fuzzy k-means with entropy regularization (FKM.GK.ENT), Gustafson and Kessel - like fuzzy kmeans with entropy regularization and noise (FKM.GK.ENT.NOISE), and PEMFKM, are evaluated. The partition coefficient (PC), partition entropy (PE), and Modified partition coefficient index (MPC) index values are better for FKM.GK than the suggested PEMFKM method. When compared to the FKM.GK method, the index values for the proposed PEMFKM algorithm have superior results for the parameters Silhouette (SIL), Xie and Beni index (XB), and fuzzy silhouette index (SIL.F). The results shows that the PEMFKM algorithm will provide better clusters and that the drugs in a given cluster may be combined for use in combination therapy for breast cancer treatment.

Hyperthermia/glutathione-triggered ferritin nanoparticles amplify the ferroptosis for synergistic tumor therapy

Breast cancer is the most diagnosed malignancy in women globally, and drug resistance is among the major obstacles to effective breast cancer treatment. Emerging evidence indicates that photothermal therapy and ferroptosis are both promising therapeutic techniques for the treatment of drug-resistant breast tumors. In this study, we proposed a thermal/ferroptosis/magnetic resonance imaging (MRI) triple functional nanoparticle (I@P-ss-FRT) in which ferritin, an iron storage material with excellent cellular uptake capacity, was attached via disulfide bonds onto polydopamine coated iron oxide nanoparticle (I@P) as photothermal transduction agent and MRI probe. I@P-ss-FRT converted the near-infrared light (NIR) into localized heat which accelerated the release of ferrous ions from ferritin accomplished by glutathione reduction and subsequently induced ferroptosis. The drug-resistant cancer cell lines exhibited a more significant uptake of I@P-ss-FRT and sensitivity to PTT/ferroptosis compared with normal cancer cell lines. In vivo, I@P-ss-FRT plus NIR displayed the best tumor-killing potential with inhibitory rate of 83.46%, along with a decline in GSH/GPX-4 content and an increase in lipid peroxides generation at tumor sites. Therefore, I@P-ss-FRT can be applied to combat drug-resistant breast cancer.

Potential therapeutic applications of Cistus laurifolius extract: Anti-proliferative, anti-cancer activity on MCF-7, and anti-microbial effects

Cistus laurifolius L. is commonly used in Turkish folk medicine for the treatment of ulcers and various types of pain. In this study, the cytotoxic and apoptotic activities of C. laurifolius extract on the MCF-7 breast cancer cell line, as well as its antimicrobial activity against eight microorganisms (Listeria monocytogenes, Enterococcus faecalis, Bacillus subtilis, Staphylococcus aureus, Escherichia coli, S. typhimurium, and Pediococcus acidilactici) were investigated. Different concentrations (100 µg/mL, 250 µg/mL, 500 µg/mL, and 1000 µg/mL) of the plant extract were applied for 24, 48, and 72 h, and its effects were determined using MTT, BrdU, and in situ apoptosis detection assays on human breast cancer cell MCF-7. Prolonged high-dose application of C. laurifolius extract led to decreased cell viability, inhibition of DNA synthesis, and induction of apoptosis. Its potential to induce cell death, which is the most desirable pathway for cancer treatment, is noteworthy alongside its cytotoxic activity. The antimicrobial effect of C. laurifolius extract varied depending on the Gram reaction of the microorganisms, with the extract being more effective against Gram-positive bacteria than Gram-negative bacteria. In conclusion, the C. laurifolius extract exhibits cytotoxic, anticancer, and antimicrobial properties.

Using nanotechnology to progress the utilization of marine natural products in combating multidrug resistance in cancer: A prospective strategy.

Achieving targeted, customized, and combination therapies with clarity of the involved molecular pathways is crucial in the treatment as well as overcoming multidrug resistance (MDR) in cancer. Nanotechnology has emerged as an innovative and promising approach to address the problem of drug resistance. Developing nano-formulation-based therapies using therapeutic agents poses a synergistic effect to overcome MDR in cancer. In this review, we aimed to highlight the important pathways involved in the progression of MDR in cancer mediated through nanotechnology-based approaches that have been employed to circumvent them in recent years. Here, we also discussedthe potential use of marine metabolites to treat MDR in cancer, utilizing active drug-targeting nanomedicine-based techniques to enhance selective drug accumulation in cancer cells. The discussion also provides future insights for developing complex targeted, multistage responsive nanomedical drug delivery systemsfor effective cancer treatments. We propose more combinational studies and their validation for the possible marine-based nanoformulations for future development.

Automated 3D convolutional neural network architecture design using genetic algorithm for pulmonary nodule classification

Cancer of the lungs is considered one of the primary causes of death among patients globally. Early detection contributes significantly to the success of pulmonary cancer treatment. To aid the pulmonary nodule classification, many models for the analysis of medical image utilizing deep learning have been developed. Convolutional neural network (CNN) recently, has attained remarkable results in various image classification tasks. Nevertheless, the CNNs performance is heavily dependent on their architectures which still heavily reliant on human domain knowledge. This study introduces a cutting-edge approach that leverages genetic algorithms (GAs) to automatically design 3D CNN architectures for differentiation between benign and malignant pulmonary nodules. The suggested algorithm utilizes the dataset of lung nodule analysis 2016 (LUNA16) for evaluation. Notably, our approach achieved exceptional model accuracy, with evaluations on the testing dataset yielding up to 95.977%. Furthermore, the algorithm exhibited high sensitivity, showcasing its robust performance in distinguishing between benign and malignant nodules. Our findings demonstrate the outstanding capabilities of the proposed algorithm and show an outstanding performance and attain a state of art solution in lung nodule classification.

Hypoxia A Typical Target in Human Lung Cancer Therapy.

Lung cancer (LC) is the leading cause of cancer-related death globally. Comprehensive knowledge of the cellular and molecular etiology of LC is perilous for the development of active treatment approaches. Hypoxia in cancer is linked with malignancy, and its phenotype is implicated in the hypoxic reaction, which is being studied as a prospective cancer treatment target. The hypervascularization of the tumor is the main feature of human LC, and hypoxia is a major stimulator of neo-angiogenesis. It was seen that low oxygen levels in human LC are a critical aspect of this lethal illness. However, as there is a considerable body of literature espousing the presumed functional relevance of hypoxia in LC, the direct measurement of oxygen concentration in Human LC is yet to be determined. This narrative review aims to show the importance and as a future target for novel research studies that can lead to the perception of LC therapy in hypoxic malignancies.

Immunotherapy in Colorectal Cancer - Finding the Achilles' Heel.

AbstractColorectal cancer treatment has evolved considerably in the last decade with the development of immunotherapies. Immune checkpoint inhibitor therapies have brisk and durable responses in patients with advanced microsatellite instability-high colorectal cancer, both surgically resectable and unresectable; however, patients with microsatellite stable colorectal cancer in general do not respond to the same therapy. Emerging evidence shows that immune checkpoint inhibitors may elicit responses in subsets of patients with microsatellite stable colorectal cancer, especially when combined with other anticancer agents that can modulate the tumor microenvironment. Therefore, rationally designed therapeutic combinations involving immune checkpoint inhibitors, as well as the development of predictive biomarkers for optimal patient selection, have emerged as two key areas of active research. In addition, other immunotherapeutic agents such as cell-based therapies and bispecific T-cell engagers are beginning to be studied in preclinical and early-phase settings. Although by no means a universal treatment strategy, immunotherapy can elicit responses in microsatellite stable colorectal cancer and further research is needed to extend their benefit to patients with microsatellite stable colorectal cancer. Here, we review the current state of immunotherapeutic regimens for microsatellite stable colorectal cancer.