Improve Patient Outcomes Research Articles

Unveiling sex-based geographical disparities in myelodysplastic syndrome mortality trends in Spain (1999-2022).

To comprehensively analyze trends in myelodysplastic neoplasm (MDS) mortality across Spain (1999-2022), examining sex and regional differences. We analyzed nationwide death records and population data, calculating age-standardized mortality rates (ASMRs) and standardized mortality ratios (SMRs) stratified by sex and Autonomous Community (AC). Joinpoint regression identified significant shifts in trends. Across Spain, MDS mortality risk varied among men, with rates ranging from 1.08 to 4.38 per 100,000 across regions, while women's rates ranged from 1.23 to 2.02. Five regions had higher risks than the national average, while six had lower risks. Joinpoint analysis revealed three periods nationally: a decline until 2008, and an increase until 2017, followed by a significant decrease. Despite the overall stable national trend (-0.5% annual change), significant regional variations emerged. Andalusia stood out with a worrying increase in MDS mortality, while Aragon and Murcia demonstrated promising declines. Extremadura displayed a unique trajectory with an initial rise followed by stabilization, while Galicia exhibited a contrasting trend with an initial decline and subsequent increase. Notably, men consistently faced a higher risk of MDS mortality compared to women, with significant disparities across regions. Extremadura, in particular, showed a marked difference in risk between genders. MDS mortality trends in Spain are complex, and influenced by gender, region, and time. Further research is needed to understand regional disparities, recent national decline, and higher risk in specific demographics. Tailored interventions based on local factors and targeted research are crucial to address these complexities and improve patient outcomes.

Analysis and mapping of global research publications on point-of-care testing for infectious diseases.

This study presents the first comprehensive analysis and mapping of scientific research on point-of-care testing (POCT) in infectious diseases, filling a gap in understanding the evolving landscape of this field. The identification of research themes and global contributions offers valuable insights. This manuscript aims to analyse and map scientific research on POCT in the context of infectious diseases. The study employed a comprehensive search strategy using terms related to POCT and infectious diseases. The search was conducted on the Scopus database, refining results based on inclusion and exclusion criteria. The dataset of 1719 research articles was then subjected to descriptive analysis and mapping using VOSviewer. The research findings indicate an exponential growth in POCT-related publications, with 46.8% published post the COVID-19 pandemic. Plos One journal led in publication frequency, and Biosensors and Bioelectronics received the highest citations per article. North America and Western Europe dominated contributions, with notable participation from China, South Africa, and India. The research landscape revealed the following research themes: detection technologies, human immunodeficiency virus (HIV)/sexually transmitted infection (STI) diagnosis, antibiotic optimisation, and schistosomiasis. Clinical trials focused on antibiotic prescribing, HIV, STIs, and specific infections. The findings suggest a shifting landscape towards POCT, emphasising the need for future planning and investment in healthcare systems. The research identifies areas for future exploration, such as the impact of POCT on antibiotic prescribing and its role in combating infectious diseases in low- and middle-income countries. Implementation of POCT has the potential to revolutionise infectious disease management, improve patient outcomes, and reduce the global burden of diseases. Better public awareness, healthcare team management, and planning for POCT at entry points are crucial for societal benefit. Results demonstrated the evolving role of POCT in infectious disease management and prevention.

Pleasurable and problematic receptive anal intercourse and diseases of the colon, rectum and anus.

The ability to experience pleasurable sexual activity is important for human health. Receptive anal intercourse (RAI) is a common, though frequently stigmatized, pleasurable sexual activity. Little is known about how diseases of the colon, rectum, and anus and their treatments affect RAI. Engaging in RAI with gastrointestinal disease can be difficult due to the unpredictability of symptoms and treatment-related toxic effects. Patients might experience sphincter hypertonicity, gastrointestinal symptom-specific anxiety, altered pelvic blood flow from structural disorders, decreased sensation from cancer-directed therapies or body image issues from stoma creation. These can result in problematic RAI - encompassing anodyspareunia (painful RAI), arousal dysfunction, orgasm dysfunction and decreased sexual desire. Therapeutic strategies for problematic RAI in patients living with gastrointestinal diseases and/or treatment-related dysfunction include pelvic floor muscle strengthening and stretching, psychological interventions, and restorative devices. Providing health-care professionals with a framework to discuss pleasurable RAI and diagnose problematic RAI can help improve patient outcomes. Normalizing RAI, affirming pleasure from RAI and acknowledging that the gastrointestinal system is involved in sexual pleasure, sexual function and sexual health will help transform the scientific paradigm of sexual health to one that is more just and equitable.

The value of virtual molecular tumor boards for informed clinical decision-making.

Genomic profiling and other new technologies have increased the volume and complexity of information available for guiding clinical decision-making in precision oncology. Consequently, there is a need for multidisciplinary expert teams, in the form of molecular tumor boards (MTBs), who can translate this information into a therapeutic plan, including matching patients to suitable clinical trials. Virtual MTBs (vMTBs) can help to overcome many of the challenges associated with in-person MTBs, such as limited time availability, access to appropriate experts or datasets, or interactions between institutions. However, real-world experience from vMTBs is lacking. Here, we describe oncologists' vMTB experiences and the value of working with multicenter and/or multinational vMTBs. We also address knowledge gaps and barriers that could affect the implementation of vMTBs in routine clinical practice. Case studies from Argentina, Turkey, and Portugal illustrate the value of informed clinical decision-making by vMTBs, including expansion of therapeutic options for patients, faster time to treatment, and the resulting improvement in patient outcomes or impact of vMTB discussions on patients. With the uptake of comprehensive genomic profiling and the evolution of some cancers now being conceptualized as a collection of rare diseases with small patient populations based on molecular profiling, the importance of MTBs has increased in modern cancer management. However, an adjustment in clinical decision-making by healthcare professionals is required and evidence of the added value of vMTBs is lacking. Existing vMTBs and recommendations from participating oncologists could point toward a structured evaluation and analysis of this new platform.

Emerging Medications and Strategies in Acute Pain Management: Evolving Role of Novel Sodium and Calcium Channel Blockers, Peptide-Based Pharmacologic Drugs, and Non-Medicinal Methods.

The present investigation evaluated integration of novel medication technology to enhance treatment options, while improving patient outcomes in acute pain management. In this regard, we focused on determining the role of development and utilization of cutting-edge pharmaceutical advancements, such as targeted drug delivery systems, as well as non-pharmacologic interventions in addressing acute pain states. Further research in this area is warranted related to the need for increased patient comfort and reduced adverse effects. Recent innovations and techniques are discussed including pharmacologic drugs targeting sodium and calcium channels, peptide-based pharmacologic drugs, and non-medicinal methods of alleviating pain such as soothing music or virtual reality. The present investigation included review of current literature on the application of these innovative technologies, analyzing mechanisms of action, pharmacokinetics, and clinical effectiveness. Our study also investigated the potential benefits in terms of pain relief, reduced side effects, and improved patient adherence. The research critically examines the challenges and considerations associated with implementing these technologies in acute pain management, considering factors like cost, accessibility, and regulatory aspects. Additionally, case studies and clinical trials are highlighted which demonstrate practical implications of these novel medication technologies in real-world scenarios. The findings aim to provide healthcare professionals with a comprehensive understanding of the evolving landscape in acute pain management while guiding future research and clinical practices toward optimizing their use in enhancing patient care.

An exosomes-related lncRNA prognostic model correlates with the immune microenvironment and therapy response in lung adenocarcinoma.

Recent research highlights the significance of exosomes and long noncoding RNAs (lncRNAs) in cancer progression and drug resistance, but their role in lung adenocarcinoma (LUAD) is not fully understood. We analyzed 121 exosome-related (ER) mRNAs from the ExoBCD database, along with mRNA and lncRNA expression profiles of TCGA-LUAD using "DESeq2", "survival," "ConsensusClusterPlus," "GSVA," "estimate," "glmnet," "clusterProfiler," "rms," and "pRRophetic" R packages. This comprehensive approach included univariate cox regression, unsupervised consensus clustering, GSEA, functional enrichment analysis, and prognostic model construction. Our study identified 134 differentially expressed ER-lncRNAs, with 19 linked to LUAD prognosis. These ER-lncRNAs delineated two patient subtypes, one with poorer outcomes. Additionally, 286 differentially expressed genes were related to these ER-lncRNAs, 261 of which also correlated with LUAD prognosis. We constructed an ER-lncRNA-related prognostic model and calculated an ER-lncRNA-related risk score (ERS), revealing that a higher ERS correlates with poor overall survival in both the Meta cohort and two validation cohorts. The ERS potentially serves as an independent prognostic factor, and the prognostic model demonstrates superior predictive power. Notably, significant differences in the immune landscape were observed between the high- and low-ERS groups. Drug sensitivity analysis indicated varying responses to common chemotherapy drugs based on ERS stratification, with the high-ERS group showing greater sensitivity, except to rapamycin and erlotinib. Experimental validation confirmed that thymidine kinase 1 enhances lung cancer invasion, metastasis, and cell cycle progression. Our study pioneers an ER-lncRNA-related prognostic model for LUAD, proposing that ERS-based risk stratification could inform personalized treatment strategies to improve patient outcomes.

Sinonasal mucosal melanoma in The Netherlands between 2001 and 2021: a clinical and epidemiological overview of 320 cases.

Sinonasal mucosal melanoma (SNMM) is a rare malignancy, characterised by high (local) recurrence rates and poor survival. Comprehensive understanding of tumour etiology is currently lacking, which complicates adequate tumour treatment. Besides examining trends in incidence, this study aims to assess the association between clinical characteristics, treatment practices and patient outcomes, with the objective of establishing a baseline from which SNMM management can be enhanced. All newly diagnosed SNMM cases in The Netherlands between 2001 and 2021 were included using data from The Netherlands Cancer Registry (NCR). A total of 320 patients were included. The annual incidence rate for the overall population was stable over the inclusion period with an annual percentage change (APC) of only - 0.01%. The 5-year overall survival (OS) and relative survival (RS) were 24.5 and 32.4%, respectively. Relative survival did not increase over time. The addition of adjuvant radiotherapy to surgery was not associated with a higher OS and RS compared to surgery alone. Sinonasal mucosal melanoma is a rare disease with stable incidence rates in the Netherlands between 2001 and 2021. There has been no improvement in survival over the course of the inclusion period. The study reaffirms that adjuvant radiotherapy does not seem to improve patient outcomes. Given the generally poor outcomes for SNMM patients, novel therapeutic options ought to be considered in order to improve care.

5G-enabled smart hospitals: Innovations in patient care and facility management.

Smart hospitals represent the pinnacle of healthcare innovation, leveraging cutting-edge technologies to transform patient care and facility management. This article addresses the pressing need for effective implementation of 5G technology in smart hospitals, aiming to enhance connectivity, improve patient outcomes, and drive operational efficiency. The methodology employed involves a comprehensive review of existing literature, case studies, and expert insights to analyze the impact of 5G on various aspects of smart hospital operations. The article highlights the significance of 5G technology in enabling real-time data analytics, remote monitoring, and telemedicine, thus revolutionizing healthcare delivery. By providing high-speed, low-latency connectivity, 5G facilitates seamless communication and collaboration among healthcare providers, leading to more efficient diagnosis, treatment, and patient care. Additionally, the adoption of 5G enables smart hospitals to leverage artificial intelligence (AI)-based solutions for predictive analytics, personalized medicine and enhanced patient engagement. Furthermore, the article explores the potential of 5G-enabled smart hospitals in enhancing disaster preparedness and emergency response efforts. Case studies and examples demonstrate how 5G technology can improve situational awareness, coordinate resources, and deliver timely care during natural disasters and pandemics. Overall, this article underscores the transformative impact of 5G technology on smart hospitals and emphasizes the importance of embracing innovation to meet the evolving needs of patients and communities. By adopting 5G technology, smart hospitals can usher in a new era of healthcare delivery characterized by enhanced connectivity, improved patient outcomes, and unparalleled efficiency.

Mindfulness in the Clinic Waiting Room May Decrease Pain: Results from Three Pilot Randomized Controlled Trials.

Introduction: Mindfulness interventions can improve a broad range of patient outcomes, but traditional mindfulness-based interventions are time and resource intensive. Emerging evidence indicates brief, single-session mindfulness interventions can also improve patient outcomes, and brief mindfulness interventions can be embedded into medical care pathways with minimal disruption. However, the direct impact of a brief mindfulness intervention on patients' pain while waiting in the clinic waiting room remains unexamined. Objective: A series of three, pilot, randomized controlled trials (RCTs) were conducted to examine the impact of a brief, audio-recorded, mindfulness intervention on patients' pain in the clinic waiting room. Method: Study 1 examined an 8-min mindfulness recording delivered before a provider visit; Study 2 examined a 5-min mindfulness recording after a provider visit; and Study 3 examined a 4-min mindfulness recording before a provider visit. Time- and attention-matched control conditions were used in each study. Studies 1 and 2 were conducted in an academic cancer hospital. Study 3 was conducted at a walk-in orthopedic clinic. Pain intensity was measured in each of the three studies. Anxiety and depression symptoms were measured in Studies 2 and 3. Pain unpleasantness was measured in Study 3. Results: A brief (i.e., 4- to 8-min), audio-recorded mindfulness intervention decreased patients' pain intensity in the clinic waiting room, whether delivered before (Study 1 Cohen's d=1.01, Study 3 Cohen's d=0.39) or after (Study 2 Cohen's d=0.89) a provider visit. Mindfulness had a significant effect on anxiety symptoms in both studies in which it was measured. No effect on depression symptoms was observed. Conclusions: Results from these three pilot RCTs indicate brief, audio-recorded, mindfulness interventions may be capable of quickly decreasing clinical symptoms. As such, embedding brief, audio-recorded, mindfulness interventions in clinic waiting rooms may have the potential to improve patient outcomes. The continued investigation of this intervention approach is needed. Clinical Trial Registrations: NCT04477278 and NCT06099964.

Advances in preclinical approaches for intravesical therapy of bladder cancer.

The purpose of this review is to explore new strategies to treat bladder cancer. This article addresses challenges and opportunities in intravesical therapy of bladder cancer. The review examines the latest advances in the development of preclinical approaches for intravesical therapy of bladder cancer. It discusses strategies to improve drug delivery efficiency by using synthesized diverse carriers. Immunotherapy with protein aggregate magnesium-ammonium phospholinoleate-palmitoleate anhydride has been shown to be more effective than intravesical Bacillus Calmette-Guerin. Novel drug delivery systems such the urinary drug-disposing strategy and intravesical nanoparticle formulations improve the drug delivery efficiency while minimizing adverse reactions. Innovative imaging techniques using near-infrared fluorescence probes and multifunctional nano-transformers enable real-time detection and targeted therapy in bladder cancer treatment. Treatment of bladder cancer is clinically challenging. However, recent progress in drug delivery technologies shows promise. Optimizing these technologies helps improve patient outcomes, and facilitates clinical translation of different treatment modalities.

Versatile Metal-Organic Framework Incorporating Ag2S for Constructing a Photoelectrochemical Immunosensor for Two Breast Cancer Markers.

Breast cancer poses the significance of early diagnosis and treatment. Here, we developed an innovative photoelectrochemical (PEC) immunosensor characterized by high-level dual photocurrent signals and exceptional sensitivity. The PEC sensor, denoted as MIL&Ag2S, was constructed by incorporating Ag2S into a metal-organic framework of MIL-101(Cr). This composite not only enhanced electron-hole separation and conductivity but also yielded robust and stable dual photocurrent signals. Through the implementation of signal switching, we achieved the combined detection of cancer antigen 15-3 (CA15-3) and carcinoembryonic antigen (CEA) with outstanding stability, reproducibility, and specificity. The results revealed a linear range for CEA detection spanning 0.01-32 ng/mL, with a remarkably low detection limit of 0.0023 ng/mL. Similarly, for CA15-3 detection, the linear range extended from 0.1 to 320 U/mL, with a low detection limit of 0.014 U/mL. The proposed strategy introduces new avenues for the development of highly efficient, cost-effective, and user-friendly PEC sensors. Furthermore, it holds promising prospects for early clinical diagnosis, contributing to potential breakthroughs in medical detection and ultimately improving patient outcomes.

Integrated analysis reveals critical cisplatin-resistance regulators E2F7 contributed to tumor progression and metastasis in lung adenocarcinoma.

Drug resistance poses a significant challenge in cancer treatment, particularly as a leading cause of therapy failure. Cisplatin, the primary drug for lung adenocarcinoma (LUAD) chemotherapy, shows effective treatment outcomes. However, the development of resistance against cisplatin is a major obstacle. Therefore, identifying genes resistant to cisplatin and adopting personalized treatment could significantly improve patient outcomes. By examining transcriptome data of cisplatin-resistant LUAD cells from the GEO database, 181 genes associated with cisplatin resistance were identified. Using univariate regression analysis, random forest and multivariate regression analyses, two prognostic genes, E2F7 and FAM83A, were identified. This study developed a prognostic model utilizing E2F7 and FAM83A as key indicators. The Cell Counting Kit 8 assay, Transwell assay, and flow cytometry were used to detect the effects of E2F7 on the proliferation, migration, invasiveness and apoptosis of A549/PC9 cells. Western blotting was used to determine the effect of E2F7 on AKT/mTOR signaling pathway. This study has pinpointed two crucial genes associated with cisplatin resistance, E2F7 and FAM83A, and developed a comprehensive model to assist in the diagnosis, prognosis, and evaluation of relapse risk in LUAD. Analysis revealed that patients at higher risk, according to these genetic markers, had elevated levels of immune checkpoints (PD-L1 and PD-L2). The prognostic and diagnosis values of E2F7 and FAM83A were further confirmed in clinical data. Furthermore, inhibiting E2F7 in lung cancer cells markedly reduced their proliferation, migration, invasion, and increased apoptosis. In vivo experiments corroborated these findings, showing reduced tumor growth and lung metastasis upon E2F7 suppression in lung cancer models. Our study affirms the prognostic value of a model based on two DEGs, offering a reliable method for predicting the success of tumor immunotherapy in patients with LUAD. The diagnostic and predictive model based on these genes demonstrates excellent performance. In vitro, reducing E2F7 levels shows antitumor effects by blocking LUAD growth and progression. Further investigation into the molecular mechanisms has highlighted E2F7's effect on the AKT/mTOR signaling pathway, underscoring its therapeutic potential. In the era of personalized medicine, this DEG-based model promises to guide clinical practice.

Brain tissue oxygen partial pressure monitoring and prognosis of patients with traumatic brain injury: a meta-analysis.

To assess whether monitoring brain tissue oxygen partial pressure (PbtO2) or employing intracranial pressure (ICP)/cerebral perfusion pressure (CCP)-guided management improves patient outcomes, including mortality, hospital length of stay (LOS), mean daily ICP and mean daily CCP during the intensive care unit(ICU)stay. We searched the Web of Science, EMBASE, PubMed, Cochrane Library, and MEDLINE databases until December 12, 2023. Prospective randomized controlled and cohort studies were included. A meta-analysis was performed for the primary outcome measure, mortality, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Eleven studies with a total of 37,492 patients were included. The mortality in the group with PbtO2 was 29.0% (odds ratio: 0.73;95% confidence interval [CI]:0.56-0.96; P = 0.03; I = 55%), demonstrating a significant benefit. The overall hospital LOS was longer in the PbtO2 group than that in the ICP/CPP group (mean difference:2.03; 95% CI:1.03-3.02; P<0.0001; I = 39%). The mean daily ICP in the PbtO2 monitoring group was lower than that in the ICP/CPP group (mean difference:-1.93; 95% CI: -3.61 to -0.24; P = 0.03; I = 41%). Moreover, PbtO2 monitoring did not improve the mean daily CPP (mean difference:2.43; 95%CI: -1.39 to 6.25;P = 0.21; I = 56%).Compared with ICP/CPP monitoring, PbtO2 monitoring reduced the mortality and the mean daily ICP in patients with severe traumatic brain injury; however, no significant effect was noted on the mean daily CPP. In contrast, ICP/CPP monitoring alone was associated with a short hospital stay.

New Tools for Data Harmonization and Their Potential Applications in Organ Transplantation.

In organ transplantation, accurate analysis of clinical outcomes requires large, high-quality data sets. Not only are outcomes influenced by a multitude of factors such as donor, recipient, and transplant characteristics and posttransplant events but they may also change over time. Although large data sets already exist and are continually expanding in transplant registries and health institutions, these data are rarely combined for analysis because of a lack of harmonization. Promoted by the digitalization of the healthcare sector, effective data harmonization tools became available, with potential applications also for organ transplantation. We discuss herein the present problems in the harmonization of organ transplant data and offer solutions to enhance its accuracy through the use of emerging new tools. To overcome the problem of inadequate representation of transplantation-specific terms, ontologies and common data models particular to this field could be created and supported by a consortium of related stakeholders to ensure their broad acceptance. Adopting clear data-sharing policies can diminish administrative barriers that impede collaboration between organizations. Secure multiparty computation frameworks and the artificial intelligence (AI) approach federated learning can facilitate decentralized and harmonized analysis of data sets, without sharing sensitive data and compromising patient privacy. A common image data model built upon a standardized format would be beneficial to AI-based analysis of pathology images. Implementation of these promising new tools and measures, ideally with the involvement and support of transplant societies, is expected to produce improved integration and harmonization of transplant data and greater accuracy in clinical decision-making, enabling improved patient outcomes.

Artificial Intelligence Interpretation of the Electrocardiogram: A State-of-the-Art Review.

Artificial intelligence (AI) is transforming electrocardiography (ECG) interpretation. AI diagnostics can reach beyond human capabilities, facilitate automated access to nuanced ECG interpretation, and expand the scope of cardiovascular screening in the population. AI can be applied to the standard 12-lead resting ECG and single-lead ECGs in external monitors, implantable devices, and direct-to-consumer smart devices. We summarize the current state of the literature on AI-ECG. Rhythm classification was the first application of AI-ECG. Subsequently, AI-ECG models have been developed for screening structural heart disease including hypertrophic cardiomyopathy, cardiac amyloidosis, aortic stenosis, pulmonary hypertension, and left ventricular systolic dysfunction. Further, AI models can predict future events like development of systolic heart failure and atrial fibrillation. AI-ECG exhibits potential in acute cardiac events and non-cardiac applications, including acute pulmonary embolism, electrolyte abnormalities, monitoring drugs therapy, sleep apnea, and predicting all-cause mortality. Many AI models in the domain of cardiac monitors and smart watches have received Food and Drug Administration (FDA) clearance for rhythm classification, while others for identification of cardiac amyloidosis, pulmonary hypertension and left ventricular dysfunction have received breakthrough device designation. As AI-ECG models continue to be developed, in addition to regulatory oversight and monetization challenges, thoughtful clinical implementation to streamline workflows, avoiding information overload and overwhelming of healthcare systems with false positive results is necessary. Research to demonstrate and validate improvement in healthcare efficiency and improved patient outcomes would be required before widespread adoption of any AI-ECG model.

Healthcare disparities, screening, and molecular testing in the changing landscape of non-small cell lung cancer in the United States: a review.

Inequitable access to care continues to hinder improvements in diagnosis and treatment of lung cancer. This review describes healthcare disparities in the changing landscape of non-small cell lung cancer (NSCLC) in the United States, focusing on racial, ethnic, sex-based, and socioeconomic trends. Furthermore, strategies to address disparities, overcome challenges, and improve patient outcomes are proposed. Barriers exist across lung cancer screening, diagnosis, and treatment regimens, varying by sex, age, race and ethnicity, geography, and socioeconomic status. Incidence and mortality rates of lung cancer are higher among Black men than White men, and incidences in young women are substantially greater than in young men. Disparities may be attributed to geographic differences in screening access, with correlating higher incidence and mortality rates in rural versus urban areas. Lower socioeconomic status is also linked to lower survival rates. Several strategies could help reduce disparities and improve outcomes. Current guidelines could improve screening eligibility by incorporating sex, race, and socioeconomic status variables. Patient and clinician education on screening guidelines and patient-level barriers to care are key, and biomarker testing is critical since ~ 70% of patients with NSCLC have an actionable biomarker. Timely diagnosis, staging, and comprehensive biomarker testing, including cell-free DNA liquid biopsy, may provide valuable treatment guidance for patients with NSCLC. Efforts to improve lung cancer screening and biomarker testing access, decrease bias, and improve education about screening and testing are needed to reduce healthcare disparities in NSCLC.

Immunotherapy for recurrent or metastatic nasopharyngeal carcinoma.

Immunotherapy, particularly immune checkpoint inhibitors (ICIs), such as anti-programmed death 1/programmed death-ligand 1 (PD-1/PD-L1) therapy, has emerged as a pivotal treatment modality for solid tumors, including recurrent or metastatic nasopharyngeal carcinoma (R/M-NPC). Despite the advancements in the utilization of ICIs, there is still room for further improving patient outcomes. Another promising approach to immunotherapy for R/M-NPC involves adoptive cell therapy (ACT), which aims to stimulate systemic anti-tumor immunity. However, individual agent therapies targeting dendritic cells (DCs) appear to still be in the clinical trial phase. This current review underscores the potential of immunotherapy as a valuable adjunct to the treatment paradigm for R/M-NPC patients. Further research is warranted to enhance the efficacy of immunotherapy through the implementation of strategies such as combination therapies and overcoming immune suppression. Additionally, the development of a biomarker-based scoring system is essential for identifying suitable candidates for precision immunotherapy.

Does enzalutamide related PSMA upregulation affect outcomes of lutetium-177 PSMA radioligand therapy?

Enzalutamide is an antiandrogen drug used prior to lutetium-177 prostate specific membrane antigen (Lu-PSMA) radioligand therapy and has shown promising results for upregulating the PSMA expression on prostate cancer cells. In this study, we aim to compare prostate specific antigen (PSA) level changes in prostate cancer patients who received enzalutamide to those who did not. Prostate cancer patients who underwent Lu-PSMA between 2021 and 2023 were retrospectively included. Patients were grouped based on prior enzalutamide therapy: those who received enzalutamide (EZ+) for at least 14 days and those who did not (EZ-). PSA changes and F-18 DCFPyL SUV (Standardized Uptake Values) were compared. Thirty-seven patients were included, 18 EZ+ and 19 EZ-. The median age, Gleason score, and prior chemo/hormonal therapies were similar for EZ+ and EZ-, except for radium-223. Eleven patients (61%) in EZ+ and 13 patients (68%) in EZ- showed a decrease in PSA after the first cycle (p = 0.64). Four patients (22%) in EZ+ and seven patients (37%) in EZ- had more than 50% decrease in PSA after the first cycle (p = 0.33). The average percent decline at the end of the treatment was 23.3% in EZ+ and 50.4% in EZ- (p = 0.4). There was no difference in terms of lesion with highest SUVmax, mean SUV, total tumor volume or activity on pre-therapy PSMA imaging. Enzalutamide treatment prior to Lu-PSMA does not improve patient outcomes when applied remotely. Larger studies evaluating the combination therapies and the timing of enzalutamide are needed to assess its correlation with Lu-PSMA outcomes.

Unravelling the complexity of research capacity strengthening for health professionals in low- and middle-income countries: A concept analysis.

Research capacity strengthening (RCS) is crucial in enhancing healthcare outcomes, particularly in low- and middle-income countries (LMICs), which face challenges due to limited resources, unequal access to care and the need for evidence-based decision-making. We seek to move beyond a surface-level understanding of RCS, unearthing the core attributes, the factors that precede its implementation and the transformative outcomes it generates within the LMIC healthcare landscape. This study employs the Walker and Avant approach to concept analysis to comprehensively explore the dimensions and attributes of RCS as it pertains to allied and public health professionals in LMICs, propose empirical referents and suggest an operational definition. Ovid MEDLINE, Embase, CINAHL and Cochrane CENTRAL were searched from inception to 27 July 2023, to identify studies on RCS in LMICs. The Walker and Avant approach to concept analysis was selected because it provides a framework for systematically examining and clarifying the meaning and implications of RCS. This method involves a structured process of defining RCS, identifying its attributes, antecedents, consequences and cases, and ultimately providing a clear understanding of its meaning and implications. Identifying empirical referents offers measurable indicators that researchers and policymakers can use to assess the effectiveness of RCS initiatives in LMICs. RCS for health professionals in LMICs involves a sustainable process that equips them with essential research skills, fostering the ability to conduct high-quality research and improve healthcare delivery in resource-constrained settings. RCS aims to empower health professionals to apply evidence-based practices, reduce disparities and enhance the well-being of populations in LMICs. Ultimately, a concept analysis of RCS empowers us to harness the full potential of research to enhance healthcare delivery, improve patient outcomes and advance the well-being of populations worldwide.

Multifaceted roles of PD-1 in tumorigenesis: From immune checkpoint to tumor cell-intrinsic function.

Programmed cell death 1 (PD-1), a key immune checkpoint receptor, has been extensively studied for its role in regulating immune responses in cancer. However, recent research has unveiled a complex and dual role for PD-1 in tumorigenesis. While PD-1 is traditionally associated with immune cells, this article explores its expression in various cancer cells and its impact on cancer progression. PD-1's functions extend beyond immune regulation, as it has been found to both promote and suppress tumor growth, depending on the cancer type. These findings have significant implications for the future of cancer treatment and our understanding of the immune response in the context of cancer. This article calls for further research into the multifaceted roles of PD-1 to optimize its therapeutic potential and improve patient outcomes in the fight against cancer.