Approximately 8% of the US population speaks primary languages other than English. Limited English proficiency (LEP) contributes to under-representation of Hispanic patients in oncology clinical trials. Although certified translation services exist, they are time-consuming and costly. Artificial intelligence (AI)-generated translations of informed consent forms (ICFs) could provide low-cost alternatives, but data on accuracy and safety remain limited. We evaluated language equivalence of English-to-Spanish translations for three oncology clinical trial ICFs using two general-purpose AI translation tools (DeepL Pro and ChatGPT-4o) and a medically trained AI translation tool (Med_English2Spanish) compared with certified translations. Translational equivalence was assessed using a five-point Likert scale on five domains: Semantic, Idiomatic, Experiential, Conceptual, and Safety. Two native Spanish-speaking bilingual board-certified physicians independently scored each translation. Weighted Cohen's kappa determined inter-rater reliability, and the two-sample t-test compared AI-generated and certified translations. Weighted Cohen's kappa (0.95, 95% CI 0.85 to 0.97) exhibited high inter-rater agreement. Certified translations exhibited the highest equivalence (mean = 4.99, SD = 0.02). ChatGPT-4o similarly demonstrated high equivalence (mean = 4.89, SD = 0.17). DeepL Pro scored well (mean = 4.43, SD = 0.07) but lower than certified translation (P < 0.001). Med_English2Spanish demonstrated the lowest degree of equivalence (mean = 3.32, SD = 0.40) compared with certified translations (P < 0.001). Low-cost AI translations of ICFs exhibited variable language equivalence compared with certified translations across several domains. ChatGPT-4o scored nearly equivalent across domains in translating procedural trial information. While AI-generated translations are currently not suitable for clinical deployment without human review, this exploratory study supports further analysis of AI translation tools for reducing language barriers to LEP population enrollment.
Artificial intelligence (AI) is increasingly being integrated into health care, yet nursing adoption remains limited by low awareness, minimal training, and ethical concerns. A cross-sectional survey of 132 oncology nurses fr.
Night shift oncology clinicians face operational, educational, and psychosocial barriers that may limit participation in traditional shared governance and contribute to inequities across shifts. This article describes the dev.
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Environmental services (EVS) workers in healthcare settings are at risk for exposure to hazardous drugs, including antineoplastic drugs, because of their role in cleaning, sanitizing, and disinfecting surfaces where patients have received these drugs. Personal protective equipment (PPE) is critical for minimizing exposure; because oncology nurses rely on EVS partners to maintain safe care environments, inconsistent PPE use has direct implications for team safety and oncology practice. This study aimed to assess PPE use among EVS workers in oncology and non-oncology settings, identify gaps between self-reported and observed PPE use, and explore factors influencing use. The team employed a mixed-methods approach, combining observational data with verbally administered questionnaire data. Twelve EVS workers from various units participated. Observations of PPE use and responses to adapted survey instruments provided insights into practices and perceptions. Results revealed discrepancies between self-reported and observed PPE use, and participants frequently overestimated use. Participants commonly wore gloves, but they underused gloves tested for use with hazardous drugs, particularly in oncology settings. The team identified training gaps as barriers to consistent PPE use, and social desirability bias may explain the discrepancy between self-reported and observed PPE use.
Marine natural products (MNPs) from macroalgae and marine sponges have inspired clinically important anticancer agents, including the cytarabine pharmacophore and the eribulin scaffold, while cyanobacterial dolastatin chemistry supplies the auristatin payloads of several marine-inspired antibody-drug conjugates (ADCs) such as brentuximab vedotin. Artificial intelligence (AI) methods, encompassing both classical machine learning (ML) with hand-engineered features and modern deep learning (DL) with many-layered neural networks, are increasingly supporting key decisions in natural-product anticancer drug discovery, including bioactivity prediction, target identification, absorption, distribution, metabolism, excretion and toxicity (ADMET) filtering, generative analogue design, and the selection of preclinical candidates. DL architectures relevant to this field include graph neural networks, transformer-based molecular generators, diffusion models for protein-ligand docking, and convolutional networks for mass spectrometry, while classical ML contributes interpretable fingerprint-based bioactivity models and molecular networking for dereplication. This review follows a systematic literature review methodology to organize the landscape of AI methods now applied to MNP anticancer discovery, distinguishing ML and DL approaches where relevant, situating them within the chemical context of macroalgal and sponge-derived oncology leads, and critically examining published case studies, including validation level (computational, in vitro, in vivo, clinical). The principal bottleneck for medical translation has shifted partly from algorithmic capability toward data infrastructure and experimental validation. Sparse, heterogeneous, and taxonomically biased bioactivity records limit what current models can learn and reduce the reliability of AI-prioritized candidates entering the preclinical pipeline. A roadmap is proposed that prioritizes open MNP-specific benchmarks, symbiont-aware modeling, and active learning loops with synthesizability and ADMET constraints. These AI workflows may accelerate the prioritization of marine-derived anticancer leads and support earlier, more evidence-based translational decisions in oncology drug development.
A speaker challenged me shortly after I completed my graduate nursing program to "imagine a world without cervical cancer." I was riveted. Could I be among the oncology nurses who get to witness eradication of a cancer, w.
Palliative care (PC) is specialized health care that can improve quality of life for patients with cancer. However, PC tends to be underutilized or relegated to end-of-life care, limiting patients' ability to benefit from patient-centered, goal-concordant care. Patients with pancreatic cancer, who are often diagnosed at an advanced stage and with high symptom burdens, could benefit from PC. A chart review conducted in 2022 at a southern New Jersey academic medical center and cancer center found that among 77 patients diagnosed with cancer, only 26 were referred to palliative care services. Of those referred, just 6 received referrals for goal-concordant care discussions; the remaining 20 were referred primarily for cancer-related pain and symptom management or hospice care. This pilot observational quality improvement study sought to increase PC referrals for patients with pancreatic cancer, and to determine whether the PC received was goal concordant. Patients (N = 19) received referrals to PC and completed pre- and postvisit surveys. All patients who completed the postvisit survey (N = 9) expressed satisfaction with care received from the PC team. However, there were significant delays from diagnosis to the PC visit. Nurses support oncology care and tend to be aware of patients' needs; including nurses in discussions about PC may be a mechanism to increase referrals for this patient population.
Routine monitoring of patient-reported outcomes (PROs) during cancer treatment improves symptom control and quality of life, yet real-world uptake and sustained engagement with PRO monitoring remain suboptimal. Gamification has been shown to improve engagement with digital health interventions. User-centered design approaches are needed to ensure that gamified PRO tools are acceptable, usable, and responsive to patient and clinician needs, especially for older adult users. This study aimed to develop a gamified symptom monitoring web application for older adult patients with cancer using a multiphase, iterative, and user-centered approach. The overall study design was a mixed-methods user-centered design study involving 3 phases. From 2022 to 2026, participants were recruited across online and clinical settings using multiple strategies, including ResearchMatch (Vanderbilt University Medical Center), clinician referrals, professional networks, and outreach through the electronic health record at an academic medical center. Phase 1 was a survey of older adults with chronic health conditions. They reported on symptom severity, mobile health (mHealth) preferences, and gamification preferences, which were analyzed descriptively. Phases 2 and 3 involved semistructured interviews with older adult cancer survivors and clinicians, respectively, to identify actionable feedback, followed by iterative usability testing with older adult cancer survivors. In Phase 1, older adults (n=216) with chronic conditions reported high frequency of mobile phone use (across 11 mobile phone behaviors, mean 6.1, SD 1.63 where 6 indicates daily use) and generally favorable attitudes toward gamification (across 18 gameful design elements, means ranged from 2.8-4.3 on a 1-5 scale and SDs ranged from 0.75-1.12), with learning elements rated most appealing (mean 4.3/5, SD 0.75). Concerns about a gamified mHealth app included data privacy and perceived trivialization of health. Phase 2 interviews (n=7) demonstrated strong interest in longitudinal symptom visualization and clinician-sharable reports; gamified content was viewed as engaging by most participants but was preferred as optional. In Phase 3, iterative clinician interviews (n=5) and patient usability testing (n=9) led to substantial refinements, including simplified navigation, enhanced visual accessibility, further guidance on score interpretation with embedded educational videos, and de-emphasis of the gamified travel learning component. Across usability testing rounds, the number of user experience problems per interview decreased from 17 to 4, indicating improved usability. Using a multiphase, mixed methods, user-centered design process, we developed AthenaCompanion (Northwestern University with The Ohio State University), a gamified web application for PRO monitoring tailored to older adults undergoing cancer treatment. Across surveys and interviews, patients emphasized the importance of clinical utility, clarity of symptom feedback, and low-pressure, optional gamification elements. This work demonstrates the feasibility of integrating gamification into PRO monitoring and provides a foundation for future work evaluating long-term usability, engagement, and clinical effectiveness in real-world oncology care.
Cisplatin-induced ototoxicity (CIO) is a serious and underrecognized side effect of chemotherapy that, for various reasons, is often overlooked or omitted from focused care discussions between oncology providers and patients.
Therapeutic resistance remains a major challenge in cancer treatment, driven by compensatory signaling and stress response pathways that sustain tumor survival. Topoisomerase IIβ-binding protein 1 (TopBP1), a multifunctional scaffold protein with nine BRCT domains, integrates replication stress signaling with oncogenic networks and is frequently overexpressed in aggressive cancers. Its BRCT7/8 domains mediate critical interactions with E2F1, mutant p53, MIZ1, PLK1, and CIP2A, making TopBP1-BRCT7/8 an attractive therapeutic target. Using docking-guided screening and structure-activity relationship-driven optimization, we developed CS18 as a potent and selective BRCT7/8 inhibitor that disrupts oncogenic TopBP1 complexes without interfering with DNA replication. CS18 suppresses MYC transcriptional programs, restores E2F1-mediated apoptosis, and induces mitotic catastrophe. It exhibits broad-spectrum anticancer activity and synergizes with poly(ADP-ribose) polymerase (PARP) inhibitors in multiple cancer types and enhances osimertinib sensitivity in EGFR-mutated non-small cell lung cancer (NSCLC) cells. CS18 demonstrates efficacy in patient-derived breast cancer xenografts and overcomes osimertinib resistance in refractory NSCLC in vivo. These findings establish CS18 as a chemically distinct TopBP1 inhibitor with translational potential to overcome therapeutic resistance and advance precision oncology.
The landscape of multiple myeloma (MM) treatment has been revolutionized by the emergence of quadruplet therapies and T-cell-redirecting immunotherapies. Although these advancements offer unprecedented responses and lengths of remission, they simultaneously create a profound state of immune compromise. Infection is a leading cause of death and a significant cause of morbidity in patients living with MM. This article explores the complex landscape of infection in patients with MM, highlighting nurse responsibilities in early detection and management. Through targeted prevention and treatment strategies, nurses improve the longevity and the daily lived experiences of their patients. This article is a narrative review of risk factors for infection and current practices for the prevention and management of infections in patients with MM, highlighting updated guidelines for nurses. Risk factors for infection in MM include MM-related immune system dysfunction, disease-related factors such as renal failure, comorbid conditions, and treatment-related immunosuppression or cytopenias. By fostering competence through education, supporting autonomy through structured transitions of care, and maintaining relatedness through the patient-nurse relationship, oncology nurses can mitigate the infection risks associated with modern MM therapy.
The following letter to the editor was received in response to "What's Old Is New Again, Unfortunately," the editorial in the April 2026 Clinical Journal of Oncology Nursing. Selection of letters to be publishe.
Oncology nurses educate patients and caregivers about treatment. At one cancer center, treatment education was previously delivered via an in-person group class offered twice weekly to adults. This educational approach strained available resources, prompting the team to identify a new method for educating patients. This quality improvement initiative aimed to implement a longer interval between patient education and first treatment to enhance patients' retention of educational content and maintain resource-neutral workflows. Educational videos were developed and made available in the patient portal, via email, or for in-clinic viewing by the patient or caregiver. Scripting was developed for nurses to conduct teach-back during follow-up calls, which standardized content and teach-back delivery. The time from patient education to treatment initiation was compared for different educational methods. This quality improvement project increased the length of time between patient education delivery and cancer treatment initiation. Patients and nurses reported satisfaction with the new process, and patients appreciated the opportunity to directly ask a nurse questions.
Despite the nursing profession's position of influence, policy advocacy competency remains underdeveloped across nursing education and practice. Many nurses report limited knowledge, confidence, and preparation to engage effectively in legislative and political processes. A structured developmental framework for political advocacy competence is needed. This article applies Benner's novice to expert model to the development of nursing political advocacy competence and provides practical, stage-specific guidance for nurses seeking to advance their advocacy engagement. This topical article integrates findings from a focused review of English-language literature published within the past 10 years in CINAHL® and PubMed® with experiential insights from sustained legislative engagement within a professional nursing organization. Key themes related to barriers, competency development, and advocacy engagement were synthesized and mapped onto Benner's developmental stages to construct a practical advocacy progression model. Benner's framework provides a structured road map for political advocacy development across five stages: novice, advanced beginner, competent, proficient, and expert. Each stage reflects increasing knowledge of legislative processes, strategic engagement, and professional identity integration. Intentional participation in professional organizations, committee involvement, mentorship, and repeated exposure to advocacy activities facilitate progression. By conceptualizing nursing political advocacy competence as a developmental process rather than an innate trait, nurses can systematically build the confidence and skills necessary to influence policies that shape oncology care, workforce conditions, and patient outcomes.
Henri Becquerel's discovery of natural radioactivity in 1896 marked a turning point in the history of science and laid the foundation for modern nuclear physics and nuclear medicine. This overview reviews Becquerel's life, his scientific career, and the experiments that led to the identification of spontaneous radiation emitted by uranium compounds. It also highlights the subsequent contributions of Marie and Pierre Curie, who expanded the understanding of radioactivity through the discovery of polonium and radium. Furthermore, the article discusses the early therapeutic applications of radium and the lasting impact of Becquerel's work on diagnostic imaging, radionuclide therapy, and radiation oncology. More than 130 years after his discovery, Becquerel's scientific legacy remains fundamental to contemporary medicine and is commemorated by the SI unit of radioactive activity, the becquerel (Bq).
Epstein-Barr virus (EBV)-associated gastric cancer (EBVaGC) is a distinct subtype of gastric cancer (GC) with characteristic clinicopathological and molecular features. EBVaGC exhibits a more extensive lymphocyte infiltration than EBV-negative counterparts, and expresses a range of EBV encoded viral products. However, the interactions between EBV-positive GC cells and immune cells within the tumor microenvironment are not well understood. Herein we found that EBV downregulates GSDMB, an executive molecule of pyroptosis, in EBV-positive GC cells and enables these cells to escape GSDMB cleavage-induced pyroptosis by NK cells and cytotoxic T lymphocytes. The pyroptosis is mainly executed through the full length GSDMB isoform (GSDMBiso3) in GC cells. We further found EBV-encoded miR-BART12-3p targets the GSDMB 3'-UTR to downregulate its expression in GC cells. Inhibition of miR-BART12-3p enhances antitumor efficacy of NK cells against EBV-positive GC cells by triggering GSDMB cleavage-induced pyroptosis, as demonstrated both in vitro and in vivo. In conclusion, this study elucidates the molecular mechanism by which EBV downregulates GSDMB to evade immune cell killing, and provides a rationale for combining killer lymphocyte-based therapies with a miR-BART12-3p inhibitor for the treatment of EBVaGC.
Outdoor workers receive significantly more UV radiation exposure than indoor workers, increasing their skin cancer risk. Hispanic individuals comprise a large proportion of the outdoor workforce in the United States, but have limited access to culturally tailored prevention resources. This exploratory study assessed the perceptions of a culturally tailored narrative video to promote skin cancer prevention among Spanish-speaking Hispanic outdoor workers. A qualitative study was conducted using two focus groups with Hispanic outdoor workers. Prior to viewing the video, participants completed surveys assessing sociodemographic factors, sun exposure, and protective behaviors. Focus group discussions explored video comprehension, cultural relevance, emotional engagement, and dissemination strategies. Quantitative data were summarized descriptively, and qualitative data were analyzed using rapid qualitative analysis. Among 19 participants, the mean age was 46.5 (SD 15.5) years, and 94.7% (18/19) identified as male. While 47.4% (9/19) reported 6-9 hours of outdoor work per day, more than half (10/19, 52.6%) reported not engaging in sun protection. Participants described the video as culturally resonant, realistic, and engaging. Identification with characters and family-centered themes increased perceived relevance and message credibility. Many participants reported increased awareness of skin cancer risk and greater confidence in adopting sun-protective behaviors. Dissemination recommendations included workplaces, social media, schools, daycares, clinics, and other community settings. Our video shows promise in improving skin cancer awareness and prevention, reflecting strong acceptability among participants. Future randomized controlled studies are needed to assess its effectiveness in enhancing long-term sun-protective behaviors.
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In this study, we evaluated the cytogenotoxicity of strontium ranelate (SrR), an important therapeutic agent used in the treatment of postmenopausal osteoporosis, alone, as well as in combined treatment with resveratrol (RSV), a natural polyphenolic compound with protective properties, in standardized genetic toxicology assays. The concentrations selected for the tests included vehicle control; 10 µM SrR; 200 µM SrR; 1000 µM SrR; 10 µM RSV; 25 µM RSV; 80 µM RSV; and 200 µM SrR + 80 µM RSV, with RSV-containing treatments prepared using 2% DMSO as vehicle. Preliminary toxicological and cytogenotoxic screening was conducted using the Artemia salina and Allium cepa bioassays, both performed in quintuplicate. Active A. salina nauplii were transferred to test tubes containing the selected concentrations and treated for 24 h. For the A. cepa assay, forty bulbs were randomly divided into eight groups and exposed to the previously described treatments. Treatments with SrR applied alone induced toxic effects in A. salina and exhibited clastogenic and aneugenic effects in A. cepa. In contrast, RSV and the combined treatment were not cytotoxic and were still able to reduce the DNA damage induced by SrR, thus demonstrating antigenotoxic potential over SrR.