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Background: In Italy, there is a network of centres headed by the Italian Association of Pediatric Hematology and Oncology (AIEOP) for the diagnosis and treatment of paediatric cancers on almost the entire national territory. Nevertheless, migration of patients in a hospital located in a region different from that of residence is a widespread habit, sometimes motivated by several reasons. The aim of this paper is to assess the impact of migration of children with cancer to AIEOP centres in order to verify their optimal distribution throughout the national territory. Methods: To this purpose, we used information on 41,205 registered cancer cases in the database of Mod.1.01 Registry from AIEOP centres, with age of less than 20 years old at diagnosis, diagnosed from 1988 to 2017. Patients' characteristics were analysed and compared using the X2 or Fisher's exact test or Mann–Whitney test, when appropriate. Survival distributions were estimated using the method of Kaplan and Meier, and the log-rank test was used to examine differences among subgroups. Results: Extra-regional migration involved overall 19.5% of cases, ranging from 23.3% (1988–1997) to 16.4% (2008–2017) (p < 0.001). In leukaemias and lymphomas we observed a mean migration of 8.8% overall, lower in the North (1.2%) and Centre (7.8%) compared to the South & Isles (32.3%). In the case of solid tumours, overall migration was 25.7%, with 4.2% in the North, 17.2% in the Centre and 59.6% in the South & Isles. For regions with overall levels of migration higher than the national average, most migration cases opted for AIEOP centres of close or even neighbouring regions. Overall survival at 10 years from diagnosis results 69.9% in migrants vs 78.3% in no migrants (p < 0.001). Conclusions: There is still a certain amount of domestic migration, the causes of which can be easily identified: migration motivated by a search for high specialization, migration due to lack of local facilities, or regions in which no AIEOP centres are present, which makes migration obligatory. Better coordination between AIEOP centres could help to reduce so-called avoidable migration, but technical and political choices will have to be considered, with the active participation of sector technicians. [ABSTRACT FROM AUTHOR]

Introduction: International and national guidelines highlight the need for general practitioner involvement during and after active cancer treatment and throughout long-term follow-up care. This paper aimed to evaluate patients' acceptance of radiation oncology shared follow-up care using the Theoretical Framework of Acceptability (TFA). Methods: This cross-sectional study was conducted at two cancer care centres in the Illawarra Shoalhaven region of Australia. A sample of patients scheduled for a radiation oncology follow-up consultation in 2021 were sent a 32-point self-complete paper-based survey. Data were analysed using descriptive, parametric and non-parametric statistical analysis. This paper followed the Checklist for Reporting of Survey Studies (CROSS). Results: Of the 414 surveys returned (45% response rate), the acceptance for radiation oncology shared cancer follow-up care was high (80%). Patients treated with only radiotherapy were 1.7 times more likely to accept shared follow-up care than those treated with multiple modalities. Patients who preferred follow-up care for fewer than three years were 7.5 times more likely to accept shared care than those who preferred follow-up care for five years. Patients who travelled more than 20 minutes to their radiation oncologist or to the rural cancer centre were slightly more likely to accept shared care than those who travelled less than twenty minutes to the regional cancer centre. A high understanding of shared care (Intervention Coherence) and a positive feeling towards shared care (Affective Attitude) were significant predictive factors in accepting shared radiation oncology follow-up care. Conclusion: Health services need to ensure patient preferences are considered to provide patient-centred cancer follow-up care. Shared cancer follow-up care implementation should start with patients who prefer a shorter follow-up period and understand the benefits of shared care. However, patients' involvement needs to be considered alongside other clinical risk profiles and organisational factors. Future qualitative research using the TFA constructs is warranted to inform clinical practice change. [ABSTRACT FROM AUTHOR]

Simple Summary: In radiotherapy treatment, organs at risk and target volumes are contoured by the clinicians to prepare a dosimetry plan. In retrospective data, these structures are not often standardised to universal names across the patients plans, which is required to enable data mining and analysis. In this paper, a new method was proposed and evaluated to automatically standardise radiotherapy structures names using machine learning algorithms. The proposed approach was deployed over a dataset with 1613 patients collected from Liverpool & Macarthur Cancer Therapy Centres, New South Wales, Australia. It was concluded that machine learning techniques can standardise the dosimetry plan structures, taking into consideration the integration of multiple modalities representing each structure during the training process. In progressing the use of big data in health systems, standardised nomenclature is required to enable data pooling and analyses. In many radiotherapy planning systems and their data archives, target volumes (TV) and organ-at-risk (OAR) structure nomenclature has not been standardised. Machine learning (ML) has been utilised to standardise volumes nomenclature in retrospective datasets. However, only subsets of the structures have been targeted. Within this paper, we proposed a new approach for standardising all the structures nomenclature by using multi-modal artificial neural networks. A cohort consisting of 1613 breast cancer patients treated with radiotherapy was identified from Liverpool & Macarthur Cancer Therapy Centres, NSW, Australia. Four types of volume characteristics were generated to represent each target and OAR volume: textual features, geometric features, dosimetry features, and imaging data. Five datasets were created from the original cohort, the first four represented different subsets of volumes and the last one represented the whole list of volumes. For each dataset, 15 sets of combinations of features were generated to investigate the effect of using different characteristics on the standardisation performance. The best model reported 99.416% classification accuracy over the hold-out sample when used to standardise all the nomenclatures in a breast cancer radiotherapy plan into 21 classes. Our results showed that ML based automation methods can be used for standardising naming conventions in a radiotherapy plan taking into consideration the inclusion of multiple modalities to better represent each volume. [ABSTRACT FROM AUTHOR]

The World Health Organization (WHO), in their 2022 report, identified cancer as one of the leading causes of death, accounting for about 16% of deaths worldwide. The Cancer-Moonshot community aims to reduce the cancer death rate by half in the next 25 years and wants to improve the lives of cancer-affected people. Cancer mortality can be reduced if detected early and treated appropriately. Cancers like breast cancer and cervical cancer have high cure probabilities when treated early in accordance with best practices. Integration of artificial intelligence (AI) into cancer research is currently addressing many of the challenges where medical experts fail to bring cancer to control and cure, and the outcomes are quite encouraging. AI offers many tools and platforms to facilitate more understanding and tackling of this life-threatening disease. AI-based systems can help pathologists in diagnosing cancer more accurately and consistently, reducing the case error rates. Predictive-AI models can estimate the likelihood for a person to get cancer by identifying the risk factors. Big data, together with AI, can enable medical experts to develop customized treatments for cancer patients. The side effects from this kind of customized therapy will be less severe in comparison with the generalized therapies. However, many of these AI tools will remain ineffective in fighting against cancer and saving the lives of millions of patients unless they are accessible and understandable to biologists, oncologists, and other medical cancer researchers. This paper presents the trends, challenges, and future directions of AI in cancer research. We hope that this paper will be of help to both medical experts and technical experts in getting a better understanding of the challenges and research opportunities in cancer diagnosis and treatment. [ABSTRACT FROM AUTHOR]

Depression, frequently associated with cancer, significantly impacts health outcomes, necessitating effective treatments. This systematic review and meta-analysis aim to synthesize and critically evaluate the evidence from randomized controlled trials (RCTs) for the efficacy of nurse-led psychological interventions in managing depression among adult cancer patients. It focuses on the unique contribution of these interventions to improving depression management in oncology care, an underrepresented area in the existing literature. We conducted a comprehensive search in databases including Scopus, Medline, CINAHL, and PsycINFO, applying strict criteria to select RCTs assessing nurse-led psychological interventions for depression in cancer patients. We used the Cochrane Risk of Bias 2 tool to assess study quality. Out of 425 screened abstracts, nine papers describing seven distinct interventions involving 1463 participants were selected. The overall effect size estimate of −0.75 (95% confidence interval: −1.23 to −0.27) indicates significant effectiveness of these interventions in reducing depression compared to treatment as usual. Additionally, the calculated prediction interval highlights the variability in effectiveness across different settings, suggesting that contextual factors play a crucial role in the success of these interventions. The findings advocate for the integration of nurse-led psychological interventions into standard cancer care, highlighting their efficacy in improving depressive symptoms in adult cancer patients. These interventions show promise but require further refinement and research to optimize their effectiveness across diverse patient groups and healthcare settings. This review underscores the potential of nurse-led psychological interventions in enriching oncology care and addresses a critical gap in the existing body of research. [ABSTRACT FROM AUTHOR]

War and cancer have been intertwined in Iraq for over three decades, a country where the legacies and ongoing impacts of conflict have been commonly associated with both increased cancer rates as well as the deterioration of cancer care. Most recently, the Islamic State of Iraq and the Levant (ISIL) violently occupied large portions of the country's central and northern provinces between 2014 and 2017, causing devastating impacts on public cancer centers across central and northern Iraq. Focusing on the five Iraqi provinces previously under full or partial ISIL occupation, this article examines the immediate and long-term impacts of war on cancer care across three periods (before, during, and after the ISIL conflict). As there is little published data on oncology in these local contexts, the paper relies primarily upon the qualitative interviews and lived experience of oncologists serving in the five provinces studied. A political economy lens is applied to interpret the results, particularly the data related to progress in oncology reconstruction. It is argued that conflict generates immediate and long-term shifts in political and economic conditions that, in turn, shape the rebuilding of oncology infrastructure. The documentation of the destruction and reconstruction of local oncology systems is intended to benefit the next generation of cancer care practitioners in the Middle East and other conflict-affected regions areas in their efforts to adapt to conflict and rebuild from the legacies of war. [ABSTRACT FROM AUTHOR]

Personalized cancer treatments help to deliver tailored and biologically driven therapies for cancer patients. Interventional oncology techniques are able to treat malignancies in a locoregional fashion, with a variety of mechanisms of action leading to tumor necrosis. Tumor destruction determines a great availability of tumor antigens that can be recognized by the immune system, potentially triggering an immune response. The advent of immunotherapy in cancer care, with the introduction of specific immune checkpoint inhibitors, has led to the investigation of the synergy of these drugs when used in combination with interventional oncology treatments. The aim of this paper is to review the most recent advances in the field of interventional oncology locoregional treatments and their interactions with immunotherapy. [ABSTRACT FROM AUTHOR]

This article presents contemporary opinion on the role of alpha-fetoprotein in oncologic diagnostics and treatment. This role stretches far beyond the already known one—that of the biomarker of hepatocellular carcinoma. The turn of the 20th and 21st centuries saw a significant increase in knowledge about the fundamental role of AFP in the neoplastic processes, and in the induction of features of malignance and drug resistance of hepatocellular carcinoma. The impact of AFP on the creation of an immunosuppressive environment for the developing tumor was identified, giving rise to attempts at immunotherapy. The paper presents current and prospective therapies using AFP and its derivatives and the gene therapy options. We directed our attention to both the benefits and risks associated with the use of AFP in oncologic therapy. [ABSTRACT FROM AUTHOR]

Background: In preclinical studies, FLASH therapy, in which radiation delivered at ultrahigh dose rates of ≥40 Gy per second, has been shown to cause less injury to normal tissues than radiotherapy delivered at conventional dose rates. This paper describes the protocol for the first-in-human clinical investigation of proton FLASH therapy. Objective: FAST-01 is a prospective, single-center trial designed to assess the workflow feasibility, toxicity, and efficacy of FLASH therapy for the treatment of painful bone metastases in the extremities. Methods: Following informed consent, 10 subjects aged ≥18 years with up to 3 painful bone metastases in the extremities (excluding the feet, hands, and wrists) will be enrolled. A treatment field selected from a predefined library of plans with fixed field sizes (from 7.5 cm Ã-- 7.5 cm up to 7.5 cm Ã-- 20 cm) will be used for treatment. Subjects will receive 8 Gy of radiation in a single fraction-a well-established palliative regimen evaluated in prior investigations using conventional dose rate photon radiotherapy. A FLASH-enabled Varian ProBeam proton therapy unit will be used to deliver treatment to the target volume at a dose rate of ≥40 Gy per second, using the plateau (transmission) portion of the proton beam. After treatment, subjects will be assessed for pain response as well as any adverse effects of FLASH radiation. The primary end points include assessing the workflow feasibility and toxicity of FLASH treatment. The secondary end point is pain response at the treated site(s), as measured by patient-reported pain scores, the use of pain medication, and any flare in bone pain after treatment. The results will be compared to those reported historically for conventional dose rate photon radiotherapy, using the same radiation dose and fractionation. Results: FAST-01 opened to enrollment on November 3, 2020. Initial results are expected to be published in 2022. Conclusions: The results of this investigation will contribute to further developing and optimizing the FLASH-enabled ProBeam proton therapy system workflow. The pain response and toxicity data acquired in our study will provide a greater understanding of FLASH treatment effects on tumor responses and normal tissue toxicities, and they will inform future FLASH trial designs. [ABSTRACT FROM AUTHOR]

Paper describes our development of a web-based tool to make Medicare patient prices for cancer drugs known to their care teams. [ABSTRACT FROM AUTHOR]

Exercise has been proposed as a possible cancer treatment; however, there are an infinite number of clinical oncology settings involving diverse cancer types and treatment protocols in which exercise could be tested as a cancer treatment. The primary purpose of this paper is to propose a conceptual framework to organize and guide research on exercise as a cancer treatment across distinct clinical oncology settings. A secondary purpose is to provide an overview of existing exercise research using the proposed framework. The Exercise as Cancer Treatment (EXACT) framework proposes nine distinct clinical oncology scenarios based on tumor/disease status and treatment status at the time of the proposed exercise treatment. In terms of tumor/disease status, the primary tumor has either been surgically removed (primary goal to treat micrometastases), not surgically removed (primary goal to treat the primary tumor), or metastatic disease is present (primary goal to treat metastatic disease). In terms of treatment status, the extant disease has either not been treated yet (treatment naïve), is currently being treated (active treatment), or has previously been treated. These two key clinical oncology variables--tumor/disease status and treatment status--result in nine distinct clinical oncology scenarios in which exercise could be tested as a new cancer treatment: (a) treatment naïve micrometastases, (b) actively treated micrometastases, (c) previously treated micrometastases, (d) treatment naïve primary tumors, (e) actively treated primary tumors, (f) previously treated primary tumors, (g) treatment naïve metastatic disease, (h) actively treated metastatic disease, and (i) previously treated metastatic disease. To date, most preclinical animal studies have examined the effects of exercise on treatment naïve and actively treated primary tumors. Conversely, most observational human studies have examined the associations between exercise and cancer recurrence/survival in patients actively treated or previously treated for micrometastases. Few clinical trials have been conducted in any of these scenarios. For exercise to be integrated into clinical oncology practice as a cancer treatment, it will need to demonstrate benefit in a specific clinical setting. The EXACT framework provides a simple taxonomy for systematically evaluating exercise as a potential cancer treatment across a diverse range of cancer types and treatment protocols. [ABSTRACT FROM AUTHOR]

Background: Advances in cancer medicines have resulted in tangible health impacts, but the magnitude of benefits of approved cancer medicines could vary greatly. Health Technology Assessment (HTA) is a multidisciplinary process used to inform resource allocation through a systematic value assessment of health technology. This paper reviews the challenges in conducting HTA for cancer medicines arising from oncology trial designs and uncertainties of safety-efficacy data. Methods: Multiple databases (PubMed, Scopus and Google Scholar) and grey literature (public health agencies and governmental reports) were searched to inform this policy narrative review. Results: A lack of robust efficacy-safety data from clinical trials and other relevant sources of evidence has made HTA for cancer medicines challenging. The approval of cancer medicines through expedited pathways has increased in recent years, in which surrogate endpoints or biomarkers for patient selection have been widely used. Using these surrogate endpoints has created uncertainties in translating surrogate measures into patient-centric clinically (survival and quality of life) and economically (cost-effectiveness and budget impact) meaningful outcomes, with potential effects on diverting scarce health resources to low-value or detrimental interventions. Potential solutions include policy harmonization between regulatory and HTA authorities, commitment to generating robust post-marketing efficacy-safety data, managing uncertainties through risk-sharing agreements, and using value frameworks. Conclusion: A lack of robust efficacy-safety data is a central problem for conducting HTA of cancer medicines, potentially resulting in misinformed resource allocation. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this article is to explore the ethical challenges in the treatment of cancer patients at a tertiary care hospital during the Covid-19 pandemic. Materials and Methods: The paper is based on empirical observations apart from a systematic literature review of secondary data from the World Health Organisation (WHO) Novel Corona virus website and central databases like Embase, Scopus and Medline. This paper will discuss the bio-ethics perspective and issues in cancer healthcare management during the Covid-19 pandemic and shall serve as a knowledge base for medical practitioners in general and people related to oncology in particular. Results: The Covid-19 pandemic has been equally challenging for all including patients, healthcare workers and policy makers. Understanding the ethical responsibilities and rational behaviours is critically important for every person facing this challenge. It is possible to emerge victorious from the Covid-19 pandemic in a dignified manner only when the standards of ethics are well understood are held high by the general public, patients, doctors, hospital staff and policy makers equally. Conclusion: Since the oncology patients are immune compromised, they need more attention during the Covid-19 pandemic as they are susceptible to worst of the outcomes of Covid-19 infection. In light of limited resources at a tertiary care hospital where the administration has to look after the other departments as well, it is extremely important to explore, understand and practice the bio-ethical perspective of the cancer healthcare management during the Covid-19 pandemic as the ethical aspects can easily get neglected in a pandemic like Covid-19. [ABSTRACT FROM AUTHOR]

Exercise is safe and effective for those living with and beyond breast cancer, with evidence supporting exercise guidelines, and position statements from international organizations. Despite the clearly recognized benefits of exercise for these individuals, many do not participate or maintain recommended exercise levels throughout the breast cancer continuum, highlighting the lack of translation from research into practice. In addition, discerning how exercise can be tailored to address breast cancer-related impairments, so that individuals are able to participate safely and effectively, has also not been studied extensively. Thus, we propose that implementing exercise screening, triage, and referral pathways across the breast cancer continuum may allow for increased accessibility and adoption among those living with and beyond breast cancer. This paper provides an overview of exercise prescription tailoring for common breast cancer and treatment-related impairments, proposes a simplified screening tool for identifying physical activity and movement-related impairments, and considers how best to channel evidence into practice via proposed implementation pathways that may better connect individuals living with and beyond breast cancer with exercise oncology resources through screening, triage, and referral. [ABSTRACT FROM AUTHOR]

Precision oncology, which ensures optimized cancer treatment tailored to the unique biology of a patient's disease, has rapidly developed and is of great clinical importance. Deep learning has become the main method for precision oncology. This paper summarizes the recent deep-learning approaches relevant to precision oncology and reviews over 150 articles within the last six years. First, we survey the deep-learning approaches categorized by various precision oncology tasks, including the estimation of dose distribution for treatment planning, survival analysis and risk estimation after treatment, prediction of treatment response, and patient selection for treatment planning. Secondly, we provide an overview of the studies per anatomical area, including the brain, bladder, breast, bone, cervix, esophagus, gastric, head and neck, kidneys, liver, lung, pancreas, pelvis, prostate, and rectum. Finally, we highlight the challenges and discuss potential solutions for future research directions. [ABSTRACT FROM AUTHOR]

Patients' insights into the factors affecting access, referral and treatment of lung cancer in public healthcare facilities, are key to the fight against this disease. On the other hand, the lack of epidemiological information on the actual burden of lung cancer, makes it difficult for public healthcare facilities to be adequately equipped to deal with foreseeable challenges in the oncology units. In order to inform patientcentred interventions and lung cancer control programmes, this study explored extrinsic factors that affect lung cancer patients throughout the cancer care continuum in KwaZulu-Natal. Nineteen patients receiving care in the three public healthcare facilities providing oncology services in KwaZulu-Natal, were interviewed using an interview guide. Following data saturation, thematic analysis was used to develop the themes relating to the extrinsic factors affecting the provision of cancer care. Five themes emerged from the analysis, namely: geographical dynamics affecting patient access to a healthcare facility, lung cancer suspicion index in the diagnostic trail within the different levels of care, decision-making trail for the referral system, equipmentinduced delays and healthcare-patient communication. A number of lung cancer patients utilising oncology services in public healthcare facilities in KwaZulu-Natal, are often met with various extrinsic factors affecting their progression through different stages of cancer care continuum. Therefore, the results of the extrinsic factors explored in this paper through the lung cancer patients' lenses may be used for designing mitigation plans to reduce delays in lung cancer care in KwaZulu-Natal. [ABSTRACT FROM AUTHOR]

Introduction: To improve quality across levels of care, we developed a standardized care pathway (SCP) integrating palliative and oncology services for hospitalized and home-dwelling palliative cancer patients in a rural region. Methods: A multifaceted implementation strategy was directed towards a combination of target groups. The implementation was conducted on a system level, and implementation-related activities were registered prospectively. Adult patients with advanced cancer treated with non-curative intent were included and interviewed. Healthcare leaders (HCLs) and healthcare professionals (HCPs) involved in the development of the SCP or exposed to the implementation strategy were interviewed. In addition, HCLs and HCPs exposed to the implementation strategy answered standardized questionnaires. Hospital admissions were registered prospectively. Results: To assess the use of the SCP, 129 cancer patients were included. Fifteen patients were interviewed about their experiences with the patient-held record (PHR). Sixty interviews were performed among 1320 HCPs exposed to the implementation strategy. Two hundred and eighty-seven HCPs reported on their training in and use of the SCP. Despite organizational cultural differences, developing an SCP integrating palliative and oncology services across levels of care was feasible. Both HCLs and HCPs reported improved quality of care in the wake of the implementation process. Two and a half years after the implementation was launched, 28% of the HCPs used the SCP and 41% had received training in its use. Patients reported limited use and benefit of the PHR. Conclusion: An SCP may be a usable tool for integrating palliative and oncology services across care levels in a rural region. An extensive implementation process resulted in improvements of process outcomes, yet still limited use of the SCP in clinical practice. HCLs and HCPs reported improved quality of cancer care following the implementation process. Future research should address mandatory elements for usefulness and successful implementation of SCPs for palliative cancer patients. Plain language summary: When a patient has incurable cancer, it is beneficial to introduce palliative care early in the disease trajectory along with anti-cancer treatment. A standardized care pathway is a method to improve quality and reduce variation in healthcare. It can promote integrated healthcare services in palliative care, e.g. by specifying action points when the patient's situation is changing. In this study, a standardized care pathway for cancer patients with palliative care needs was developed in a rural region of Norway. The pathway focused on patients' needs and symptoms and on smooth transition between levels of care. An educational program and an information strategy were developed to ensure implementation. To evaluate the implementation, all activity regarding the implementation process was registered. Cancer patients and healthcare professionals were interviewed and answered questionnaires. One thousand three hundred and twenty healthcare professionals were exposed to the implementation strategy. One hundred and twenty-nine cancer patients were followed up according to the standardized care pathway. Despite different perspectives of care, it was feasible to develop a standardized care pathway for palliative cancer patients across care settings. A paper-based patient-held record was only found to be useful by a limited number of patients. An extensive implementation process was completed and resulted in improvements regarding healthcare professionals' experience with the quality of cancer care in the region, but limited use of the care pathway in clinical practice. Further research should identify the most important elements for usefulness and successful implementation of the care pathway. [ABSTRACT FROM AUTHOR]

Despite significant advances in oncologic treatment, cancer‐associated metabolic derangements largely remain poorly understood and are often neglected in cancer care. Cancer cachexia and metabolic changes exhibited by neoplastic cells pose formidable barriers to improving outcomes and quality of life. Although cancer has traditionally been viewed as a proliferative disease caused by genetic mutations, newer perspectives suggest that it is primarily a metabolic disease. This paper discusses the etiology of cachexia and sarcopenia and nutrition interventions that can address these wasting disorders. The role of inflammation in cancer and the methods for preventing and resolving inflammation with nutrition intervention are also explored. Several nutrition recommendations aimed at overcoming cachexia, resolving inflammation, and improving cancer outcomes are provided based on current literature. This manuscript selected only a few areas on which to focus and is not all‐inclusive of the expansive literature available on the topic of cachexia. [ABSTRACT FROM AUTHOR]

Narrative medicine (NM) is a new discipline in healthcare that helps the patients and physicians to tell and listen to the accounts of disease, illness, and suffering. In the last 20 years, NM has moved into the realms of biomedical education, research, and training. The complexity of cancer management can gain from the medical humanism of NM. A new model of cancer care called narrative oncology (NO) with NM-based skill sets of attention, representation, and affiliation can build narrative competence, therapeutic relationship, and clinical trust. The oncologists, patients, and their family caregivers, and the cancer care health system will create an inclusive and empathetic eco-system. This paper outlines the broad framework of NM, which becomes narrative oncology for cancer medicine. The clinicians, nurses, health workers, and scientists should learn and implement this new discipline alongside their biomedical activities. [ABSTRACT FROM AUTHOR]

Background: Cancer is no longer treated on the basis of its histological lineage alone; more and more drugs are being developed that are directed toward specific molecular and immunological features. Monoclonal antibodies are one type of selectively acting therapeutic agent. As part of this development, antibody-drug conjugates („ADCs") have been approved in recent years for the treatment of hematologic and solid malignancies. Methods: This review is based on pertinent articles retrieved by a selective search in PubMed, as well as on papers presented at international congresses of specialist societies such as the European Society for Medical Oncology, the American Society of Clinical Oncology, and the American Association for Cancer Research, and information published on the websites of the European Medicines Agency, the Food and Drug Administration, and the German Joint Federal Committee. Results: The efficacy of the nine ADCs currently approved in the European Union (as of 12/2022) is derived from technical improvements in the conjugation process, the introduction of novel linkers for the covalent binding of cytotoxic agents to the Fc portion of the antibody, and the development of new, potent cytotoxic agents. Compared to conventional cancer therapies, the approved ADCs improve treatment outcomes with respect to tumor remission, time to tumor progression and, in some cases, overall survival by specifically channeling cytotoxic agents into the malignant target cells and thereby limiting, at least to some extent, the exposure of healthy tissue to adverse effects. Various potential side effects still require attention, including venous occlusive disease, pneumonitis, ocular keratopathy, and skin rash. The development of effective ADCs requires the identification of tumor-selective targets to which ADCs can bind. Conclusion: ADCs are a novel category of drugs for the treatment of cancer. Their approval is mainly, but not exclusively, based on the favorable findings of randomized, controlled phase III trials. ADCs are already helping to improve the outcomes of treatment for cancer. [ABSTRACT FROM AUTHOR]

Purpose: Pediatric palliative care (PC) is an evolving field and involves a comprehensive approach to care of children with cancer. The goal of this paper was to explore how pediatric oncologists define, interpret, and practice pediatric palliative care in their clinical settings. Methods: The study used the grounded theory approach to data collection and analysis. Twenty-one pediatric oncologists from six pediatric cancer centers across Israel were interviewed. Data was analyzed using line-by-line coding. Results: The analysis resulted in a four-tiered conceptual model. This model included the following categories: (1) ill-defined concept; (2) philosophies of palliative care; (3) trajectory of palliative care; and (4) palliative care treatment goals. Conclusion: The findings illustrate the current conceptualizations of pediatric palliative care among the pediatric oncology community in Israel. The conceptual model documents their understanding of pediatric palliative care as a philosophical approach and the challenges they face in differentiating between palliative care and standard pediatric oncology care. Pediatric palliative care is a highly needed and valued sub-specialty. The findings from this study highlight the importance for its continued development in Israel, as it can reduce the suffering of children and their families. Concurrently, pediatric oncologists need to have more resources and access to explicit knowledge of the conceptual and practical aspects of both primary and specialized pediatric palliative care. [ABSTRACT FROM AUTHOR]

Cancer Biomarkers are the key to unlocking the promise of precision oncology, selecting which patients will respond to a more personalised treatment while sparing non-responders the therapy-related toxicity. In this paper, we highlight the primacy of cancer biomarkers, but focus on their importance to patients and to health systems. We also highlight how cancer biomarkers represent value for money. We emphasise the need for cancer biomarkers infrastructure to be embedded into European health systems. We also highlight the need to deploy multiple biomarker testing to deliver the optimal benefit for patients and health systems and consider cancer biomarkers from the perspective of cost, value and regulation. Cancer biomarkers must also be situated in the context of the upcoming In Vitro Diagnostics Regulation, which may pose certain challenges (e.g. non-compliance of laboratory developed tests, leading to cancer biomarker shortages and increased costs) that need to be overcome. Cancer biomarkers must be embedded in the real world of oncology delivery and testing must be implemented across Europe, with the intended aim of narrowing, not widening the inequity gap for patients. Cancer patients must be placed firmly at the centre of a cancer biomarker informed precision oncology care agenda. [ABSTRACT FROM AUTHOR]

Introduction: Alliance for Clinical Trials in Oncology (Alliance) coordinated trials utilize Medidata Rave® (Rave) as the primary clinical data capture system. A growing number of innovative and complex cancer care delivery research (CCDR) trials are being conducted within the Alliance with the aims of studying and improving cancer-related care. Because these trials encompass patients, providers, practices, and their interactions, a defining characteristic of CCDR trials is multilevel data collection in pragmatic settings. Consequently, CCDR trials necessitated innovative strategies for database development, centralized data management, and data monitoring in the presence of these real-world multilevel relationships. Having real trial experience in working with community and academic centers, and having recently implemented five CCDR trials in Rave, we are committed to sharing our strategies and lessons learned in implementing such pragmatic trials in oncology.Methods: Five Alliance CCDR trials are used to describe our approach to analyzing the database development needs and the novel strategies applied to overcome the unanticipated challenges we encountered. The strategies applied are organized into 3 categories: multilevel (clinic, clinic stakeholder, patient) enrollment, multilevel quantitative and qualitative data capture, including nontraditional data capture mechanisms being applied, and multilevel data monitoring.Results: A notable lesson learned in each category was (1) to seek long-term solutions when developing the functionality to push patient and non-patient enrollments to their respective Rave study database that affords flexibility if new participant types are later added; (2) to be open to different data collection modalities, particularly if such modalities remove barriers to participation, recognizing that additional resources are needed to develop the infrastructure to exchange data between that modality and Rave; and (3) to facilitate multilevel data monitoring, orient site coordinators to the their trial's multiple study databases, each corresponding to a level in the hierarchy, and remind them to establish the link between patient and non-patient participants in the site-facing NCI web-based enrollment system.Conclusion: Although the challenges due to multilevel data collection in pragmatic settings were surmountable, our shared experience can inform and foster collaborations to collectively build on our past successes and improve on our past failures to address the gaps. [ABSTRACT FROM AUTHOR]

Background: Cancer-associated malnutrition is associated with worse symptom severity, functional status, quality of life, and overall survival. Malnutrition in cancer patients is often under-recognized and undertreated, emphasizing the need for standardized pathways for nutritional management in this population. The objectives of this study were to (1) investigate the relationship between malnutrition risk and self-reported symptom severity scores in an adult oncology outpatient population and (2) to identify whether a secondary screening tool for malnutrition risk (abPG-SGA) should be recommended for patients with a specific ESAS-r cut-off score or group of ESAS-r cut-off scores. Methods: A single-institution retrospective cross-sectional study was conducted. Malnutrition risk was measured using the Abridged Patient-Generated Subjective Global Assessment (abPG-SGA). Cancer symptom severity was measured using the Revised Edmonton Symptom Assessment System (ESAS-r). In accordance with standard institutional practice, patients completed both tools at first consult at the cancer centre. Adult patients who completed the ESAS-r and abPG-SGA on the same day between February 2017 and January 2020 were included. Spearman's correlation, Mann Whitney U tests, receiver operating characteristic curves, and binary logistic regression models were used for statistical analyses. Results: 2071 oncology outpatients met inclusion criteria (mean age 65.7), of which 33.6% were identified to be at risk for malnutrition. For all ESAS-r parameters (pain, tiredness, drowsiness, nausea, lack of appetite, shortness of breath, depression, anxiety, and wellbeing), patients at risk for malnutrition had significantly higher scores (P < 0.001). All ESAS-r parameters were positively correlated with abPG-SGA score (P < 0.01). The ESAS-r parameters that best predicted malnutrition risk status were total ESAS-r score, lack of appetite, tiredness, and wellbeing (area under the curve = 0.824, 0.812, 0.764, 0.761 respectively). Lack of appetite score ≥ 1 demonstrated a sensitivity of 77.4% and specificity of 77.0%. Combining lack of appetite score ≥ 1 with total ESAS score > 14 yielded a sensitivity of 87.9% and specificity of 62.8%. Conclusion: Malnutrition risk as measured by the abPG-SGA and symptom severity scores as measured by the ESAS-r are positively and significantly correlated. Given the widespread use of the ESAS-r in cancer care, utilizing specific ESAS-r cut-offs to trigger malnutrition screening could be a viable way to identify cancer patients at risk for malnutrition. [ABSTRACT FROM AUTHOR]