Deciphering the role of alternative splicing in neoplastic diseases for immune-oncological therapies.

Alternative splicing (AS) is an important molecular biological mechanism regulated by complex mechanisms involving a plethora of cis and trans-acting elements. Furthermore, AS is tissue specific and altered in various pathologies, including infectious, inflammatory, and neoplastic diseases. Recently developed immuno-oncological therapies include monoclonal antibodies (mAbs) and chimeric antigen receptor (CAR) T cells targeting, among others, immune checkpoint (ICP) molecules. Despite therapeutic successes have been demonstrated, only a limited number of patients showed long-term benefit from these therapies with tumor entity-related differential response rates were observed. Interestingly, splice variants of common immunotherapeutic targets generated by AS are able to completely escape and/or reduce the efficacy of mAb- and/or CAR-based tumor immunotherapies. Therefore, the analyses of splicing patterns of targeted molecules in tumor specimens prior to therapy might help correct stratification, thereby increasing therapy success by antibody panel selection and antibody dosages. In addition, the expression of certain splicing factors has been linked with the patients' outcome, thereby highlighting their putative prognostic potential. Outstanding questions are addressed to translate the findings into clinical application. This review article provides an overview of the role of AS in (tumor) diseases, its molecular mechanisms, clinical relevance, and therapy response.

SupporTive Care At Home Research (STAHR) for patients with advanced cancer: Protocol for a cluster non-randomized controlled trial.

Advancements in the treatment and management of patients with cancer have extended their survival period. To honor such patients' desire to live in their own homes, home-based supportive care programs have become an important medical practice. This study aims to investigate the effects of a multidimensional and integrated home-based supportive care program on patients with advanced cancer. SupporTive Care At Home Research is a cluster non-randomized controlled trial for patients with advanced cancer. This study tests the effects of the home-based supportive care program we developed versus standard oncology care. The home-based supportive care program is based on a specialized home-based medical team approach that includes (1) initial assessment and education for patients and their family caregivers, (2) home visits by nurses, (3) biweekly regular check-ups/evaluation and management, (4) telephone communication via a daytime access line, and (5) monthly multidisciplinary team meetings. The primary outcome measure is unplanned hospitalization within 6 months following enrollment. Healthcare service use; quality of life; pain and symptom control; emotional status; satisfaction with services; end-of-life care; advance planning; family caregivers' quality of life, care burden, and preparedness for caregiving; and medical expenses will be surveyed. We plan to recruit a total of 396 patients with advanced cancer from six institutions. Patients recruited from three institutions will constitute the intervention group, whereas those recruited from the other three institutions will comprise the control group.

Radiopharmaceuticals for Cancer Diagnosis and Therapy: New Targets, New Therapies-Alpha-Emitters, Novel Targets.

ABSTRACT: Radiopharmaceutical therapy has emerged as a promising approach for the treatment of various cancers. The exploration of novel targets such as tumor-specific antigens, overexpressed receptors, and intracellular biomolecules using antibodies, peptides, or small molecules has expanded the scope of radiopharmaceutical therapy, enabling precise and effective cancer treatment for an increasing number of tumor types. Alpha emitters, characterized by their high linear energy transfer and short path length, offer unique advantages in targeted therapy due to their potent cytotoxicity against cancer cells while sparing healthy tissues. This article reviews recent advancements in identifying novel targets for radiopharmaceutical therapy and applications in utilizing α-emitters for targeted treatment.

IFN-α/ß/IFN-γ/IL-15 pathways identify GBP1-expressing tumors with an immune-responsive phenotype.

Immunotherapy is widely used in cancer treatment; however, only a subset of patients responds well to it. Significant efforts have been made to identify patients who will benefit from immunotherapy. Successful anti-tumor immunity depends on an intact cancer-immunity cycle, especially long-lasting CD8+ T-cell responses. Interferon (IFN)-α/ß/IFN-γ/interleukin (IL)-15 pathways have been reported to be involved in the development of CD8+ T cells. And these pathways may predict responses to immunotherapy. Herein, we aimed to analyze multiple public databases to investigate whether IFN-α/ß/IFN-γ/IL-15 pathways could be used to predict the response to immunotherapy. Results showed that IFN-α/ß/IFN-γ/IL-15 pathways could efficiently predict immunotherapy response, and guanylate-binding protein 1 (GBP1) could represent the IFN-α/ß/IFN-γ/IL-15 pathways. In public and private cohorts, we further demonstrated that GBP1 could efficiently predict the response to immunotherapy. Functionally, GBP1 was mainly expressed in macrophages and strongly correlated with chemokines involved in T-cell migration. Therefore, our study comprehensively investigated the potential role of GBP1 in immunotherapy, which could serve as a novel biomarker for immunotherapy and a target for drug development.

Heterogeneity generating capacity in tumorigenesis and cancer therapeutics.

Cells of multicellular organisms generate heterogeneity in a controlled and transient fashion during embryogenesis, which can be reactivated in pathologies such as cancer. Although genomic heterogeneity is an important part of tumorigenesis, continuous generation of phenotypic heterogeneity is central for the adaptation of cancer cells to the challenges of tumorigenesis and response to therapy. Here I discuss the capacity of generating heterogeneity, hereafter called cell hetness, in cancer cells both as the activation of hetness oncogenes and inactivation of hetness tumor suppressor genes, which increase the generation of heterogeneity, ultimately producing an increase in adaptability and cell fitness. Transcriptomic high hetness states in therapy-tolerant cell states denote its importance in cancer resistance to therapy. The definition of the concept of hetness will allow the understanding of its origins, its control during embryogenesis, its loss of control in tumorigenesis and cancer therapeutics and its active targeting.

Effectiveness of Karate in Oncology Patients: A Quasi-Experimental Study.

Cancer is a global health concern and affects patient quality of life, anxiety, depression, and sleep. Physical exercise shows promise in alleviating these effects. Karate is a holistic intervention that could be used to improve several outcomes related to cancer disease, but to date its effect remains unexplored. This quasi-experimental pre-/poststudy evaluated the effects of a 6-month karate program conducted twice a week for 60 minutes each session on quality of life, anxiety, depression, sleep quality, and psychosomatic symptoms in 22 patients with posttherapy oncology. Significant improvements in quality of life (P = .006), anxiety (P < .001), depression (P < .001), and sleep quality (P = .011) were observed. Multidimensional psychophysical evaluation showed significant reductions in symptoms (P < .05). High participant satisfaction was reported across all dimensions. This pilot study shows the potential benefits in oncology patients, but more research is necessary to confirm these findings.

Understanding referral of patients with cancer in rural Ethiopia: a qualitative study.

BACKGROUND: Cancer incidence is increasing in Ethiopia mainly due to increased life expectancy, while oncological capacities remain limited. Strong referral linkages between different levels of the healthcare system are key to provide timely access to cancer care. In this qualitative study, we assessed limitations and potential of cancer patient referral in the rural Southwest of Ethiopia. METHODS: We held four focus group discussions (FGD) with health professionals at one primary and three secondary hospitals and conducted eight in-depth interviews (IDI) with the hospitals´ medical executives and local health bureau representatives. Data was analysed inductively using thematic analysis and emerging themes were categorized within the revised concept of access by Penchansky and Saurman. RESULTS: The inevitable referral of patients with cancer in the rural Southwest of Ethiopia is characterized by the absence of clear communication protocols and the lack of formal referral linkages. The newly implemented hub-system has improved emergency referrals and could be expanded to non-emergency referrals, sensitive to the needs of advanced oncological care. Liaison officers can pave the way but need to be trained and equipped adequately. Referred patients struggle with inadequate transportation systems, the lack of accommodation close to specialized facilities as well as the inability to navigate at those sites due to language barriers, illiteracy, and stigmatization. Few Non-Governmental Organizations (NGOs) help but cannot compensate the limited governmental support. The shortage of medications at public hospitals leads to patients being directed to costly private pharmacies. In the light of those challenges, cancer remains to be perceived as a "death sentence" within the rural communities. CONCLUSIONS: Standardized referral linkages and a multi-faceted support network throughout the cancer care continuum are necessary to make oncology care accessible to Ethiopia´s large rural population.

Patient experiences and needs in cancer care- results from a nationwide cross-sectional study in Germany.

BACKGROUND: Patient-centredness has become a central quality indicator for oncology care. Elements include shared decision-making, patient navigation and integration of psychosocial care, which impact patient-reported and clinical outcomes. Despite efforts to promote patient-centred care in Germany in recent decades, implementation remains fragmented. Further, research on patient experiences with cancer care and its determinants is limited. Therefore, this study examines which patient- and facility-specific factors are associated with patient-centred quality care delivery. METHODS: A cross-sectional study was conducted among 1,121 cancer patients in acute treatment, rehabilitation, and aftercare for different cancer entities across Germany. A participatory developed questionnaire was used. Outcome measures were the quality of physician-patient interaction and provision of psychosocial care during acute care. Predictors comprised patient-specific characteristics and treatment facility-specific factors. Multiple linear regression and multivariate binary logistic regression analyses were performed. In addition, a content analysis of open-ended comments on the patients' overall cancer care needs was applied. RESULTS: Multiple linear regression analysis showed recent diagnosis (ß=-0.12, p = < 0.001), being male (ß=-0.11, p = 0.003), and having a preference for passive decision-making (ß=-0.10, p = 0.001) to be significantly associated with higher interaction quality, but not age, education and health insurance type. An overall low impact of patient characteristics on interaction quality was revealed (adj. R2 = 0.03). Binary logistic regression analysis demonstrated the availability of central contact persons (OR = 3.10, p < 0.001) followed by recent diagnosis (p < 0.001), having breast cancer (p < 0.001) and being female (OR = 1.68, p < 0.05) to significantly predict offering psycho-oncological counselling to patients in acute care facilities. The availability of peer support visiting services (OR = 7.17, p < 0.001) and central contact persons (OR = 1.87, p < 0.001) in the care facility, breast cancer diagnosis (p < 0.001) and a higher level of education (p < 0.05) significantly increased the odds of patients receiving information about peer support in the treatment facility. Despite relatively satisfactory quality of physician-patient interactions in cancer care (M = 3.5 (± 1.1)), many patients expressed that better patient-centred communication and coordinated, comprehensive cancer care are needed. CONCLUSION: The findings reflect effective developments and improvements in cancer care and suggest that patients' social characteristics are less decisive for delivering patient-centred quality care than systemic factors surrounding the care facilities. They can serve to inform oncology care in Germany.

Implementing an educational resource for patients participating in cancer clinical trials during the pandemic.

This research is centred in the specialty of early phase cancer research - the branch of clinical research that focuses on phase one and phase two clinical trials. The aim was to gain an understanding of the complexity of work involved in implementing an educational intervention within the clinical pathway for newly referred early phase cancer clinical trial patients. The May and Finch Normalisation Process Theory (NPT) was used to understand, develop and evaluate the process of embedding an educational resource at referral hospital sites. Elements emerged from the evaluation that provide insights into the complexity of the implementation work that took place. The main elements were: pandemic-related challenges, change management, leadership, shared purpose, teamwork, workforce capacity and patient outcomes. The findings shed light on the barriers to or facilitators of the implementation of the educational resource.

A review of recent advances in the use of complex metal nanostructures for biomedical applications from diagnosis to treatment.

Complex metal nanostructures represent an exceptional category of materials characterized by distinct morphologies and physicochemical properties. Nanostructures with shape anisotropies, such as nanorods, nanostars, nanocages, and nanoprisms, are particularly appealing due to their tunable surface plasmon resonances, controllable surface chemistries, and effective targeting capabilities. These complex nanostructures can absorb light in the near-infrared, enabling noteworthy applications in nanomedicine, molecular imaging, and biology. The engineering of targeting abilities through surface modifications involving ligands, antibodies, peptides, and other agents potentiates their effects. Recent years have witnessed the development of innovative structures with diverse compositions, expanding their applications in biomedicine. These applications encompass targeted imaging, surface-enhanced Raman spectroscopy, near-infrared II imaging, catalytic therapy, photothermal therapy, and cancer treatment. This review seeks to provide the nanomedicine community with a thorough and informative overview of the evolving landscape of complex metal nanoparticle research, with a specific emphasis on their roles in imaging, cancer therapy, infectious diseases, and biofilm treatment. This article is categorized under: Diagnostic Tools > In Vivo Nanodiagnostics and Imaging Therapeutic Approaches and Drug Discovery > Nanomedicine for Infectious Disease Diagnostic Tools > Diagnostic Nanodevices.

PrCRS: a prediction model of severe CRS in CAR-T therapy based on transfer learning.

BACKGROUND: CAR-T cell therapy represents a novel approach for the treatment of hematologic malignancies and solid tumors. However, its implementation is accompanied by the emergence of potentially life-threatening adverse events known as cytokine release syndrome (CRS). Given the escalating number of patients undergoing CAR-T therapy, there is an urgent need to develop predictive models for severe CRS occurrence to prevent it in advance. Currently, all existing models are based on decision trees whose accuracy is far from meeting our expectations, and there is a lack of deep learning models to predict the occurrence of severe CRS more accurately. RESULTS: We propose PrCRS, a deep learning prediction model based on U-net and Transformer. Given the limited data available for CAR-T patients, we employ transfer learning using data from COVID-19 patients. The comprehensive evaluation demonstrates the superiority of the PrCRS model over other state-of-the-art methods for predicting CRS occurrence. We propose six models to forecast the probability of severe CRS for patients with one, two, and three days in advance. Additionally, we present a strategy to convert the model's output into actual probabilities of severe CRS and provide corresponding predictions. CONCLUSIONS: Based on our findings, PrCRS effectively predicts both the likelihood and timing of severe CRS in patients, thereby facilitating expedited and precise patient assessment, thus making a significant contribution to medical research. There is little research on applying deep learning algorithms to predict CRS, and our study fills this gap. This makes our research more novel and significant. Our code is publicly available at https://github.com/wzy38828201/PrCRS . The website of our prediction platform is: http://prediction.unicar-therapy.com/index-en.html .

Towards proactive palliative care in oncology: developing an explainable EHR-based machine learning model for mortality risk prediction.

BACKGROUND: Ex-ante identification of the last year in life facilitates a proactive palliative approach. Machine learning models trained on electronic health records (EHR) demonstrate promising performance in cancer prognostication. However, gaps in literature include incomplete reporting of model performance, inadequate alignment of model formulation with implementation use-case, and insufficient explainability hindering trust and adoption in clinical settings. Hence, we aim to develop an explainable machine learning EHR-based model that prompts palliative care processes by predicting for 365-day mortality risk among patients with advanced cancer within an outpatient setting. METHODS: Our cohort consisted of 5,926 adults diagnosed with Stage 3 or 4 solid organ cancer between July 1, 2017, and June 30, 2020 and receiving ambulatory cancer care within a tertiary center. The classification problem was modelled using Extreme Gradient Boosting (XGBoost) and aligned to our envisioned use-case: "Given a prediction point that corresponds to an outpatient cancer encounter, predict for mortality within 365-days from prediction point, using EHR data up to 365-days prior." The model was trained with 75% of the dataset (n = 39,416 outpatient encounters) and validated on a 25% hold-out dataset (n = 13,122 outpatient encounters). To explain model outputs, we used Shapley Additive Explanations (SHAP) values. Clinical characteristics, laboratory tests and treatment data were used to train the model. Performance was evaluated using area under the receiver operating characteristic curve (AUROC) and area under the precision-recall curve (AUPRC), while model calibration was assessed using the Brier score. RESULTS: In total, 17,149 of the 52,538 prediction points (32.6%) had a mortality event within the 365-day prediction window. The model demonstrated an AUROC of 0.861 (95% CI 0.856-0.867) and AUPRC of 0.771. The Brier score was 0.147, indicating slight overestimations of mortality risk. Explanatory diagrams utilizing SHAP values allowed visualization of feature impacts on predictions at both the global and individual levels. CONCLUSION: Our machine learning model demonstrated good discrimination and precision-recall in predicting 365-day mortality risk among individuals with advanced cancer. It has the potential to provide personalized mortality predictions and facilitate earlier integration of palliative care.

Monitoring Adolescent and Young Adult Patients With Cancer via a Smart T-Shirt: Prospective, Single-Cohort, Mixed Methods Feasibility Study (OncoSmartShirt Study).

Background: Wearables that measure vital parameters can be potential tools for monitoring patients at home during cancer treatment. One type of wearable is a smart T-shirt with embedded sensors. Initially, smart T-shirts were designed to aid athletes in their performance analyses. Recently however, researchers have been investigating the use of smart T-shirts as supportive tools in health care. In general, the knowledge on the use of wearables for symptom monitoring during cancer treatment is limited, and consensus and awareness about compliance or adherence are lacking. objectives: The aim of this study was to evaluate adherence to and experiences with using a smart T-shirt for the home monitoring of biometric sensor data among adolescent and young adult patients undergoing cancer treatment during a 2-week period. Methods: This study was a prospective, single-cohort, mixed methods feasibility study. The inclusion criteria were patients aged 18 to 39 years and those who were receiving treatment at Copenhagen University Hospital - Rigshospitalet, Denmark. Consenting patients were asked to wear the Chronolife smart T-shirt for a period of 2 weeks. The smart T-shirt had multiple sensors and electrodes, which engendered the following six measurements: electrocardiogram (ECG) measurements, thoracic respiration, abdominal respiration, thoracic impedance, physical activity (steps), and skin temperature. The primary end point was adherence, which was defined as a wear time of >8 hours per day. The patient experience was investigated via individual, semistructured telephone interviews and a paper questionnaire. Results: A total of 10 patients were included. The number of days with wear times of >8 hours during the study period (14 d) varied from 0 to 6 (mean 2 d). Further, 3 patients had a mean wear time of >8 hours during each of their days with data registration. The number of days with any data registration ranged from 0 to 10 (mean 6.4 d). The thematic analysis of interviews pointed to the following three main themes: (1) the smart T-shirt is cool but does not fit patients with cancer, (2) the technology limits the use of the smart T-shirt, and (3) the monitoring of data increases the feeling of safety. Results from the questionnaire showed that the patients generally had confidence in the device. Conclusions: Although the primary end point was not reached, the patients' experiences with using the smart T-shirt resulted in the knowledge that patients acknowledged the need for new technologies that improve supportive cancer care. The patients were positive when asked to wear the smart T-shirt. However, technical and practical challenges in using the device resulted in low adherence. Although wearables might have potential for home monitoring, the present technology is immature for clinical use.

An emerging strategy: probiotics enhance the effectiveness of tumor immunotherapy via mediating the gut microbiome.

The occurrence and progression of tumors are often accompanied by disruptions in the gut microbiota. Inversely, the impact of the gut microbiota on the initiation and progression of cancer is becoming increasingly evident, influencing the tumor microenvironment (TME) for both local and distant tumors. Moreover, it is even suggested to play a significant role in the process of tumor immunotherapy, contributing to high specificity in therapeutic outcomes and long-term effectiveness across various cancer types. Probiotics, with their generally positive influence on the gut microbiota, may serve as effective agents in synergizing cancer immunotherapy. They play a crucial role in activating the immune system to inhibit tumor growth. In summary, this comprehensive review aims to provide valuable insights into the dynamic interactions between probiotics, gut microbiota, and cancer. Furthermore, we highlight recent advances and mechanisms in using probiotics to improve the effectiveness of cancer immunotherapy. By understanding these complex relationships, we may unlock innovative approaches for cancer diagnosis and treatment while optimizing the effects of immunotherapy.

Controlled production of lipopolysaccharides increases immune activation in Salmonella treatments of cancer.

Immunotherapies have revolutionized cancer treatment. These treatments rely on immune cell activation in tumours, which limits the number of patients that respond. Inflammatory molecules, like lipopolysaccharides (LPS), can activate innate immune cells, which convert tumour microenvironments from cold to hot, and increase therapeutic efficacy. However, systemic delivery of lipopolysaccharides (LPS) can induce cytokine storm. In this work, we developed immune-controlling Salmonella (ICS) that only produce LPS in tumours after colonization and systemic clearance. We tuned the expression of msbB, which controls production of immunogenic LPS, by optimizing its ribosomal binding sites and protein degradation tags. This genetic system induced a controllable inflammatory response and increased dendritic cell cross-presentation in vitro. The strong off state did not induce TNFα production and prevented adverse events when injected into mice. The accumulation of ICS in tumours after intravenous injection focused immune responses specifically to tumours. Tumour-specific expression of msbB increased infiltration of immune cells, activated monocytes and neutrophils, increased tumour levels of IL-6, and activated CD8 T cells in draining lymph nodes. These immune responses reduced tumour growth and increased mouse survival. By increasing the efficacy of bacterial anti-cancer therapy, localized production of LPS could provide increased options to patients with immune-resistant cancers.

Concepts of lines of therapy in cancer treatment: findings from an expert interview-based study.

OBJECTIVE: The concept of lines of therapy (LOT) in cancer treatment is often considered for decision making in tumor boards and clinical management, but lacks a common definition across medical specialties. The complexity and heterogeneity of malignancies and treatment modalities contribute to an inconsistent understanding of LOT among physicians. This study assesses the heterogeneity of understandings of the LOT concept, its major dimensions, and criteria from the perspective of physicians of different specialties with an oncological focus in Germany. Semi-structured expert interviews with nine physicians were conducted and evaluated using qualitative content analysis. RESULTS: Most interviewees agreed that there is no single definition for LOT and found it difficult to explicate their understanding. A majority of experts stated that they had already encountered misunderstandings with colleagues regarding LOT and that they had problems with deciphering LOT from the medical records of their patients. Disagreement emerged about the roles of the following within the LOT concept: maintenance therapy, treatment intention, different therapy modalities, changing pharmaceutical agents, and therapy breaks. Respondents predominantly considered the same criteria as decisive for the definition of LOT as for a change in LOT (e.g., the occurrence of a progression event or tumor recurrence).

Experiences and perceived benefits of remotely delivered dance/movement therapy for adult cancer patients: a multi-method program evaluation.

BACKGROUND: Dance/movement therapy (DMT) is increasingly used as a complementary treatment to address psychological and physical wellbeing. However, it is unknown how it can be leveraged in adult cancer care. This mixed methods program evaluation aimed to assess patient-reported benefits and satisfaction with the virtual DMT in an academic oncology setting. METHODS: We developed, implemented, and evaluated a 6-week virtual, synchronous DMT program aiming to improve physical health, address mental distress, and foster social connection for cancer patients. We used deidentified program evaluation data to assess impact of DMT on patient-reported outcomes and patients' satisfaction with the DMT program. Pre- and post-session data were analyzed using descriptive statistics and a paired t-test. Qualitative data were captured through semi-structured interviews and analyzed using thematic analysis. RESULTS: Results from 39 participants (mean age 64.7 ± 9.8), majority female (89.7%) with a history of breast cancer (43.6%), showed high satisfaction (100%) and unanimous program recommendation (100%). Significant improvements were noted in anxiety (- 0.42 ± 0.76, p = .009), distress (- 0.35 ± 0.80, p = .036), and sense of joy (0.73 ± 1.18, p = .004), with a non-significant trend in increased physical activity (0.38 ± 0.98, p = .057). Thematic findings indicated that DMT participation (1) facilitated engagement in physical activity for improved physical health, (2) fostered creative expression, (3) improved mental state, and (4) helped build social connections and support. CONCLUSION: Our DMT program shows promise as a component of integrative cancer care. The mixed-method evaluation provides insightful information to generate hypotheses for future RCT studies aiming to evaluate the specific effects of DMT on patient experience and outcomes.

Advances in Gold Nanoparticles: Synthesis, Functionalization Strategies, and Theranostic Applications in Cancer.

Cancer is among the leading causes of mortality and morbidity in the world. Metallic nanoparticles, especially gold nanoparticles (AuNPs) have emerged to be attractive systems to circumvent the associated adverse effects. By the virtue of their unique properties of tunable size, shape, composition, optical properties, biocompatibility, minimal toxicity, multivalency, fluorescence-luminescence property and surface plasmon resonance; AuNPs have the potential to be used as drug delivery systems. It is vital to ensure that the drug reaches the target site of action for selective kill of cancer cells without harm to healthy cells. These AuNPs can be easily functionalized with a wide array of ligands like peptides, oligonucleotides, polymers, carbohydrates for active targeting to ensure site specific delivery and reduced systemic effects. AuNPs have been in-vestigated as carriers for gene delivery, drug delivery with or without photothermal therapy, in diagnosis based on radiation or spectroscopy. They have emerged as attractive theranostic approach in the overall management of cancer with superior benefit to risk features. In this review, we have discussed synthesis of different AuNPs (nanorods, spherical nanoparticles, and hollow AuNPs), their functionalization strategies and their applications in biomedical domain. Various research studies and clinical trials on application of AuNPs in diagnosis and therapeutics are highlighted.