In vitro photothermal therapy of pancreatic cancer mediated by immunoglobulin G-functionalized silver nanoparticles.

Pancreatic cancer is one of the most aggressive forms of cancer, and treatment options are limited. One therapeutic approach is to use nanoparticles to deliver the active agent directly to pancreatic cancer cells. Nanoparticles can be designed to specifically target cancer cells, minimizing damage to healthy tissues. Silver nanoparticles have the unique ability to absorb light, especially in the near-infrared (NIR) region. In this study, silver nanoparticles functionalized with IgG molecules were synthesized and administered to pancreatic cancer cell lines. Subsequently, the cells were photo-excited using a 2 W 808 nm laser and further examined in PANC-1 pancreatic cancer cell lines. Flow cytometry and confocal microscopy combined with immunochemical staining were used to examine the interaction between photo-excited silver nanoparticles and pancreatic cancer cells. The photothermal therapy based on IgG-functionalized silver nanoparticles in pancreatic cancer induces dysfunction in the Golgi apparatus, leading to the activation of the caspase-3 apoptotic pathway and ultimately resulting in cellular apoptosis. These findings suggest that our proposed IgG nanoparticle laser treatment could emerge as a novel approach for the therapy of pancreatic cancer.

Role of Biofunctionalized Nanoparticles in Digestive Cancer Vaccine Development.

Nanotechnology has provided an opportunity for unparalleled development of the treatment of various severe diseases. The unique properties of nanoparticles offer a promising strategy for enhancing antitumor immunity by enhancing immunogenicity and presentation of tumor autoantigens for cancer immunotherapy. Polymeric, liposomal, carbon or silica-based nanoparticles are among those with major immunomodulatory roles in various cancer treatments. Cancer vaccines, in particular digestive cancer vaccines, have been researched and developed on nanotechnological platforms. Due to their safety, controlled release, targeting of dendritic cells (DCs) and improved antigen uptake, as well as enhanced immunogenicity, nanoparticles have been used as carriers, as adjuvants for increased effect at the tumor level, for their immunomodulating effect, or for targeting the tumor microenvironment, thereby increasing tumor immunogenicity and reducing tumor inflammatory response. This review looks at digestive cancer vaccines developed on nanoparticle platforms and the impact nanoparticles have on the effects of these vaccines.

Carbon Nanotubes-Based Assays for Cancer Detection and Screening.

Carbon nanotubes (CNTs) were considered a potential cargo for cancer therapy and diagnosis following researchers' shared goal of finding a new delivery system to enhance the pharmacological performance of the administered drugs. To date, several excellent reviews have focused on the role of CNTs as drug delivery systems, although there is currently no existing study that gathers all the advances in research-connected carbon nanotubes-based assay development for the early detection of cancer. In this review article, we will focus on the emerging role of CNTs as anticancer detection agents.

Modelling in Synthesis and Optimization of Active Vaccinal Components.

Cancer is the second leading cause of mortality worldwide, behind heart diseases, accounting for 10 million deaths each year. This study focusses on adenocarcinoma, which is a target of a number of anticancer therapies presently being tested in medical and pharmaceutical studies. The innovative study for a therapeutic vaccine comprises the investigation of gold nanoparticles and their influence on the immune response for the annihilation of cancer cells. The model is intended to be realized using Quantitative-Structure Activity Relationship (QSAR) methods, explicitly artificial neural networks combined with fuzzy rules, to enhance automated properties of neural nets with human perception characteristics. Image processing techniques such as morphological transformations and watershed segmentation are used to extract and calculate certain molecular characteristics from hyperspectral images. The quantification of single-cell properties is one of the key resolutions, representing the treatment efficiency in therapy of colon and rectum cancerous conditions. This was accomplished by using manually counted cells as a reference point for comparing segmentation results. The early findings acquired are conclusive for further study; thus, the extracted features will be used in the feature optimization process first, followed by neural network building of the required model.

Automatic Detection of Colorectal Polyps Using Transfer Learning.

Colorectal cancer is the second leading cause of cancer death and ranks third worldwide in diagnosed malignant pathologies (1.36 million new cases annually). An increase in the diversity of treatment options as well as a rising population require novel diagnostic tools. Current diagnostics involve critical human thinking, but the decisional process loses accuracy due to the increased number of modulatory factors involved. The proposed computer-aided diagnosis system analyses each colonoscopy and provides predictions that will help the clinician to make the right decisions. Artificial intelligence is included in the system both offline and online image processing tools. Aiming to improve the diagnostic process of colon cancer patients, an application was built that allows the easiest and most intuitive interaction between medical staff and the proposed diagnosis system. The developed tool uses two networks. The first, a convolutional neural network, is capable of classifying eight classes of tissue with a sensitivity of 98.13% and an F1 score of 98.14%, while the second network, based on semantic segmentation, can identify the malignant areas with a Jaccard index of 75.18%. The results could have a direct impact on personalised medicine combining clinical knowledge with the computing power of intelligent algorithms.

Recent Advances in Nanoparticle-Mediated Diagnosis and the Treatment of Pancreatic Cancer.

Pancreatic cancer (PC), one of the most lethal solid tumors in humans, has a five-year survival rate of only 4%. Surgical treatment is the only accepted therapy with curative intent because the vast majority of these tumors are chemoresistant. Unfortunately, due to the aggressive nature of these tumors, fewer than 20% are resectable when the first symptoms occur. Novel therapies are required to overcome all these therapeutic issues, and the development of active nanocarriers represents an exciting opportunity to improve PC outcomes. The present review focuses on recent advances in the field of nanotechnology with application in PC treatment.

Surgical Management of Gastric Cancer: A Systematic Review.

Gastric cancer is the fifth most common cancer worldwide, and it is responsible for 7.7% of all cancer deaths. Despite advances in the field of oncology, where radiotherapy, neo and adjuvant chemotherapy may improve the outcome, the only treatment with curative intent is represented by surgery as part of a multimodal therapy. Two concepts may be adopted in appropriate cases, neoadjuvant treatment before gastrectomy (G) or primary surgical resection followed by chemotherapy. Such an approach, combined with early detection and better screening, has led to a decrease in the overall incidence of gastric cancer. Unfortunately, malignant tumors of the stomach are often diagnosed in locally advanced or metastatic stages when the median overall survival remains poor. Surgical care in these cases must be provided by a multidisciplinary team in a high-volume center. Important surgical aspects such as optimum resection margins, surgical technique, and number of harvested lymph nodes are important factors for patient outcomes. The standardization of surgical treatment of gastric cancer in accordance with the patient's profile is of decisive importance for a better outcome. This review aims to summarize the current standards in the surgical treatment of gastric cancer.

Biomarkers in Pancreatic Cancer as Analytic Targets for Nanomediated Imaging and Therapy.

As the increase in therapeutic and imaging technologies is swiftly improving survival chances for cancer patients, pancreatic cancer (PC) still has a grim prognosis and a rising incidence. Practically everything distinguishing for this type of malignancy makes it challenging to treat: no approved method for early detection, extended asymptomatic state, limited treatment options, poor chemotherapy response and dense tumor stroma that impedes drug delivery. We provide a narrative review of our main findings in the field of nanoparticle directed treatment for PC, with a focus on biomarker targeted delivery. By reducing drug toxicity, increasing their tumor accumulation, ability to modulate tumor microenvironment and even improve imaging contrast, it seems that nanotechnology may one day give hope for better outcome in pancreatic cancer. Further conjugating nanoparticles with biomarkers that are overexpressed amplifies the benefits mentioned, with potential increase in survival and treatment response.

Artificial Intelligence in Colorectal Cancer Diagnosis Using Clinical Data: Non-Invasive Approach.

Colorectal cancer is the third most common and second most lethal tumor globally, causing 900,000 deaths annually. In this research, a computer aided diagnosis system was designed that detects colorectal cancer, using an innovative dataset composing of both numeric (blood and urine analysis) and qualitative data (living environment of the patient, tumor position, T, N, M, Dukes classification, associated pathology, technical approach, complications, incidents, ultrasonography-dimensions as well as localization). The intelligent computer aided colorectal cancer diagnosis system was designed using different machine learning techniques, such as classification and shallow and deep neural networks. The maximum accuracy obtained from solving the binary classification problem with traditional machine learning algorithms was 77.8%. However, the regression problem solved with deep neural networks yielded with significantly better performance in terms of mean squared error minimization, reaching the value of 0.0000529.

Cardiotoxicity in HER2-positive breast cancer patients.

Due to the recent advances in diagnosis and management of patients with HER2-positive breast cancer, especially through novel HER2-targeted agents, cardiotoxicity becomes an emerging problem. Although chemotherapy significantly increases survival, the risk of cardiovascular disease development is high and still underestimated and could imply treatment discontinuation. Frequently, due to lack of rigorous diagnosis strategies, cardiotoxicity assessment is delayed, and, moreover, the efficacy of current therapy options in restoring heart function is questionable. For a comprehensive risk assessment, it is vital to characterize the clinical spectrum of HER2-targeted agents and anthracyclines, as well as their pathogenic pathways involved in cardiotoxicity. Advanced cardiovascular multimodal imaging and circulating biomarkers plays primary roles in early assessing cardiotoxicity and also in guiding specific preventive measures. Even though the knowledge in this field is rapidly expanding, there are still questions that arise regarding the optimal approach in terms of timing and methods. The aim of the current review aims to providean overview of currently available data.

Silver Nanoparticles for the Therapy of Tuberculosis.

Rapid emergence of aggressive, multidrug-resistant Mycobacteria strain represents the main cause of the current antimycobacterial-drug crisis and status of tuberculosis (TB) as a major global health problem. The relatively low-output of newly approved antibiotics contributes to the current orientation of research towards alternative antibacterial molecules such as advanced materials. Nanotechnology and nanoparticle research offers several exciting new-concepts and strategies which may prove to be valuable tools in improving the TB therapy. A new paradigm in antituberculous therapy using silver nanoparticles has the potential to overcome the medical limitations imposed in TB treatment by the drug resistance which is commonly reported for most of the current organic antibiotics. There is no doubt that AgNPs are promising future therapeutics for the medication of mycobacterial-induced diseases but the viability of this complementary strategy depends on overcoming several critical therapeutic issues as, poor delivery, variable intramacrophagic antimycobacterial efficiency, and residual toxicity. In this paper, we provide an overview of the pathology of mycobacterial-induced diseases, andhighlight the advantages and limitations of silver nanoparticles (AgNPs) in TB treatment.

Epidermal Growth Factor Receptor and Its Role in Pancreatic Cancer Treatment Mediated by Nanoparticles.

Pancreatic adenocarcinoma (PDAC) is a disease with a high incidence and a dreary prognosis. Its lack of symptomatology and late diagnosis contribute to the dearth and inefficiency of therapeutic schemes. Studies show that overexpressed epidermal growth factor receptor (EGFR) is a common occurrence, linking this to the progression of pancreatic cancer, although the association between its expression and the survival rate is rather controversial. EGFR-targeted therapy has not shown the results expected, leaving at hand more questions than answers; clearly, there is a need for a better understanding of the molecular pathways involved. Nanoparticles have been used in trying to improve the efficacy of antitumor treatment; thus, using EGFR's ligand, EGF, for nanoconjugation, showed promising results in increasing the cellular uptake mechanisms and apoptosis of the targeted cells.

Nanotechnology in metastatic cancer treatment: Current Achievements and Future Research Trends.

The systemic spread of malignant cells from a primary site, a process termed metastasis represents a global challenge in cancer treatment. There is a real need to develop novel therapy strategies and nanomedicine may have remarkable and valuable contribution through specific and selective delivery of chemotherapeutic agents, through its intrinsic cytotoxic activity or through imaging applications, appealing also in the context of cancer personalized therapy. This review is focused on the applications of nanoparticles in the treatment of metastatic cancer, particularly on the possible effect on cell stabilization, growth inhibition, eventual interaction with adhesion molecules and antiangiogenic effect.

An Attempt to Build a National Prospective Electronic Database for Pancreaticoduodenectomies in Romania - Preliminary Results of the First Year Enrollment.

Introduction: National databases for pancreaticoduodenectomies (PD) have contributed to better postoperative outcomes after such complex surgical procedure because the multicentre collection of data allowed more reliable analyses with quality assessment and further improvement of technical issues and perioperative management. The current practice and outcomes after PD are poorly known in Romania because there was no national database for these patients. Thus, in 2016 a national-intent electronic registry for PD was proposed for all Romanian surgical centers. The study aims to present the preliminary results of this national-intent registry for PD after one-year enrollment. Patients Methods: The database was started on October 1st, 2016. Data were prospectively collected with an electronic online form including 102 items for each patient. The registry was opened to all the Departments of Surgery from Romania performing PD, with no restriction. Results: During the first year of enrollment were collected the data of 181 patients with PD performed by 24 surgeons from four surgical centers. The age of patients was 64 years (28 - 81 years), with slightly male predominance (61.3%). Computed tomography was the main preoperative imaging investigation (84.5%). All the PDs were performed by an open approach. The Whipple technique was used in 53% of patients, and a venous resection was required in 14.3% of cases. A posterior approach PD was considered in 16.6% of patients. The stomach was used to treat the distal remnant pancreas in 50.1% of patients. The operative time was 285 min (110 - 615 min), and the estimated blood loss was 400 ml (80 - 3000 ml). The overall morbidity rate was 55.8%, with severe (i.e., grade III-IV Dindo-Clavien) morbidity rate of 10%, and 3.9% in-hospital mortality rate. The overall pancreatic fistula, delayed gastric emptying and hemorrhage rates were 19.9%, 39.8% and 15.5%. Periampullary malignancies were the main indications for PD (78.9%), with pancreatic cancer on the top (48%). Conclusions: To build a prospective electronic online database for PD in Romania appears to be a feasible project and a useful tool to know the current practice and outcomes after PD in our country. However, improvements are still required to encourage a larger number of surgical centers to introduce the data of patients with PD.

Quantum dots in imaging, drug delivery and sensor applications.

Quantum dots (QDs), also known as nanoscale semiconductor crystals, are nanoparticles with unique optical and electronic properties such as bright and intensive fluorescence. Since most conventional organic label dyes do not offer the near-infrared (>650 nm) emission possibility, QDs, with their tunable optical properties, have gained a lot of interest. They possess characteristics such as good chemical and photo-stability, high quantum yield and size-tunable light emission. Different types of QDs can be excited with the same light wavelength, and their narrow emission bands can be detected simultaneously for multiple assays. There is an increasing interest in the development of nano-theranostics platforms for simultaneous sensing, imaging and therapy. QDs have great potential for such applications, with notable results already published in the fields of sensors, drug delivery and biomedical imaging. This review summarizes the latest developments available in literature regarding the use of QDs for medical applications.

Carbon nanotubes as anti-bacterial agents.

Multidrug-resistant bacterial infections that have evolved via natural selection have increased alarmingly at a global level. Thus, there is a strong need for the development of novel antibiotics for the treatment of these infections. Functionalized carbon nanotubes through their unique properties hold great promise in the fight against multidrug-resistant bacterial infections. This new family of nanovectors for therapeutic delivery proved to be innovative and efficient for the transport and cellular translocation of therapeutic molecules. The current review examines the latest progress in the antibacterial activity of carbon nanotubes and their composites.

Development of nanoparticle-based optical sensors for pathogenic bacterial detection.

BACKGROUND: Pathogenic bacteria contribute to various globally important diseases, killing millions of people each year. Various fields of medicine currently benefit from or may potentially benefit from the use of nanotechnology applications, in which there is growing interest. Disease-related biomarkers can be rapidly and directly detected by nanostructures, such as nanowires, nanotubes, nanoparticles, cantilevers, microarrays, and nanoarrays, as part of an accurate process characterized by lower sample consumption and considerably higher sensitivity. There is a need for accurate techniques for pathogenic bacteria identification and detection to allow the prevention and management of pathogenic diseases and to assure food safety. CONCLUSION: The focus of this review is on the current nanoparticle-based techniques for pathogenic bacterial identification and detection using these applications.

Laser thermal ablation of multidrug-resistant bacteria using functionalized gold nanoparticles.

The issue of multidrug resistance (MDR) has become an increasing threat to public health. One alternative strategy against MDR bacteria would be to construct therapeutic vectors capable of physically damaging these microorganisms. Gold nanoparticles hold great promise for the development of such therapeutic agents, since the nanoparticles exhibit impressive properties, of which the most important is the ability to convert light into heat. This property has scientific significance since is exploited to develop nano-photothermal vectors to destroy bacteria at a molecular level. The present paper summarizes the latest advancements in the field of nanotargeted laser hyperthermia of MDR bacteria mediated by gold nanoparticles.

Selective ex vivo photothermal nano-therapy of solid liver tumors mediated by albumin conjugated gold nanoparticles.

We have used albumin (BSA) bound to gold nanoparticles (GNPs) as active vectors to target liver cells. Our incentive to develop an original model of living liver cancer sprang from the ethical drawbacks that hindered the assessment of the selective character and the therapeutic capacity of these nano-biosystems in cancer patients. Ex vivo-perfused liver specimens were obtained from hepatocellular carcinoma patients similarly to the surgical technique of transplantation. Albumin bound to GNPs was inoculated intra-arterially onto the resulting specimen and determined the specific delivery of the nano-bioconjugate into the malignant tissue by means of the capillary bed. The extent of necrosis was considerable following laser therapy and at the same time surrounding parenchyma was not seriously affected. The selective photothermal ablation of the malignant liver tissue was obtained after the selective accumulation of BSA bound to GNPs into tumor cells following ex-vivo intra-vascular perfusion.

Selective in vitro photothermal nano-therapy of MRSA infections mediated by IgG conjugated gold nanoparticles.

There are serious systemic infections associated with methicillin-resistant Staphylococcus aureus (MRSA) and several other types of bacteria leading to the deaths of millions of people globally. This type of mortality is generally caused by the increasing number of antibiotic-resistant organisms, a consequence of evolution via natural selection. After the synthesis of gold nanoparticles (GNPs) by wet chemistry, bio-functionalization with IgG molecules was performed. Following administration of IgG-GNPs to MRSA cultures at various concentrations and various incubation time laser irradiation was performed. To assess the selectivity and specificity of the proposed treatment the following methods were used: flow cytometry, contrast phase microscopy, and by fluorescence microscopy. The results in our study indicate that following administration of IgG-GNPs biomolecule an extended and selective bacterial death occurs following laser irradiation in a dose dependent manner. Therefore, the new findings might impel studies on these antibacterial nanomaterials and their biological and medical applications.