Histology Specific Molecular Biomarkers: Ushering in a New Era of Precision Radiation Oncology

Histopathology and clinical staging have historically formed the backbone for allocation of treatment decisions in oncology. Although this has provided an extremely practical and fruitful approach for decades, it has long been evident that these data alone do not adequately capture the heterogeneity and breadth of disease trajectories experienced by patients. As efficient and affordable DNA and RNA sequencing have become available, the ability to provide precision therapy has become within grasp. This has been realized with systemic oncologic therapy, as targeted therapies have demonstrated immense promise for subsets of patients with oncogene-driver mutations. Further, several studies have evaluated predictive biomarkers for response to systemic therapy within a variety of malignancies. Within radiation oncology, the use of genomics/transcriptomics to guide the use, dose, and fractionation of radiation therapy is rapidly evolving but still in its infancy. The genomic adjusted radiation dose/radiation sensitivity index is one such early and exciting effort to provide genomically guided radiation dosing with a pan-cancer approach. In addition to this broad method, a histology specific approach to precision radiation therapy is also underway. Herein we review select literature surrounding the use of histology specific, molecular biomarkers to allow for precision radiotherapy with the greatest emphasis on commercially available and prospectively validated biomarkers.

Overcoming the challenges to implementation of artificial intelligence in pathology

Pathologists worldwide are facing remarkable challenges with increasing workloads and lack of time to provide consistently high-quality patient care. The application of artificial intelligence (AI) to digital whole-slide images has the potential of democratizing the access to expert pathology and affordable biomarkers by supporting pathologists in the provision of timely and accurate diagnosis as well as supporting oncologists by directly extracting prognostic and predictive biomarkers from tissue slides. The long-awaited adoption of AI in pathology, however, has not materialized, and the transformation of pathology is happening at a much slower pace than that observed in other fields (eg, radiology). Here, we provide a critical summary of the developments in digital and computational pathology in the last 10 years, outline key hurdles and ways to overcome them, and provide a perspective for AI-supported precision oncology in the future.

A Transcriptome-Based Precision Oncology Platform for Patient-Therapy Alignment in a Diverse Set of Treatment-Resistant Malignancies

Predicting in vivo response to antineoplastics remains an elusive challenge. We performed a first-of-kind evaluation of two transcriptome-based precision cancer medicine methodologies to predict tumor sensitivity to a comprehensive repertoire of clinically relevant oncology drugs, whose mechanism of action we experimentally assessed in cognate cell lines. We enrolled patients with histologically distinct, poor-prognosis malignancies who had progressed on multiple therapies, and developed low-passage, patient-derived xenograft models that were used to validate 35 patient-specific drug predictions. Both OncoTarget, which identifies high-affinity inhibitors of individual master regulator (MR) proteins, and OncoTreat, which identifies drugs that invert the transcriptional activity of hyperconnected MR modules, produced highly significant 30-day disease control rates (68% and 91%, respectively). Moreover, of 18 OncoTreat-predicted drugs, 15 induced the predicted MR-module activity inversion in vivo. Predicted drugs significantly outperformed antineoplastic drugs selected as unpredicted controls, suggesting these methods may substantively complement existing precision cancer medicine approaches, as also illustrated by a case study.

SIGNIFICANCE

Complementary precision cancer medicine paradigms are needed to broaden the clinical benefit realized through genetic profiling and immunotherapy. In this first-in-class application, we introduce two transcriptome-based tumor-agnostic systems biology tools to predict drug response in vivo. OncoTarget and OncoTreat are scalable for the design of basket and umbrella clinical trials. This article is highlighted in the In This Issue feature, p. 1275.

Current Progress and Advances in Gastrointestinal Cancers: Highlights from the 2022 Annual American Society of Clinical Oncology (ASCO) Gastrointestinal Meeting

PURPOSE

To provide an overview of the key findings from studies in upper gastrointestinal, hepatobiliary, pancreas, and colorectal malignancies presented at ASCO GI 2022.

METHODS

We reviewed the abstracts presented at ASCO GI 2022. The studies highlighted were selected by the authors based on their significant discoveries and potential impact on clinical practice.

RESULTS AND CONCLUSION

This year's hybrid ASCO-GI symposium (2022) introduced many promising new treatment strategies in GI oncology, with several changes in clinical practice for patients with advanced hepatocellular carcinoma (HCC), cholangiocarcinoma, and metastatic colorectal cancer (CRC).

A comprehensive diagnostic approach to cardiac events in cancer patients receiving antineoplastic therapy: A systematic review

Oncologic patients are vulnerable to a broad spectrum of cancer related cardiovascular complications during and/or after antineoplastic treatment. This article is dealing with the main drugs used in real world clinical practice, including conventional chemotherapy, targeted therapy, immunotherapy, radiotherapy and their potential cardiovascular toxicity. Diagnosis of cancer- related cardiovascular events requires thorough clinical evaluation, multimodality imaging techniques and cardiac biomarkers according to established guidelines of cardio-oncology. Multidisciplinary approach and individualized strategies are essential and crucial in confronting oncologic patients.

Best Practices in Pediatric Oncology Pain Management

ABSTRACT

Pediatric oncology patients are vulnerable to pain that may be caused by the disease or its treatment, and this symptom can be challenging to manage. This article focuses on the importance of pain control, pain assessment and treatment, and special considerations in pediatric oncology pain management, including preparing children for painful procedures and the family's role in managing pain.

Organizing precision medicine: A case study of Memorial Sloan Kettering Cancer Center's engagement in/with genomics

Recent decades have seen a dramatic rise of in the number of initiatives designed to promote precision oncology, a domain that has played a pioneering role in the implementation of post-genomic approaches and technologies such as innovative clinical trial designs and molecular profiling. In this paper, based on fieldwork carried out at the Memorial Sloan-Kettering Cancer Center from 2019 onwards, we analyze how a world-leading cancer center has adapted, responded, and contributed to the challenge of "doing" precision oncology by developing new programs and services, and building an infrastructure that has created the conditions for genomic practices. We do so by attending to the "organizing" side of precision oncology and to the nexus between these activities and epistemic issues. We situate the work that goes into making results actionable and accessing targeted drugs within the larger process of creating a precision medicine ecosystem that includes purpose-built institutional settings, thus simultaneously experimenting with bioclinical matters and, reflexively, with organizing practices. The constitution and articulation of innovative sociotechnical arrangements at MSK provides a unique case study of the production of a large and complex clinical research ecosystem designed to implement rapidly evolving therapeutic strategies embedded in a renewed and dynamic understanding of cancer biology.

Patient Comments on a Hospital- and University-Based Exercise Oncology Program

The purpose of this study was to identify referral source and patient-reported factors that promoted follow-through and participation in exercise oncology rehabilitation programs. A three question open-ended survey was administered to patients enrolled in trainer-supervised, hospital-based (n = 101), or university-based (n = 17) cancer rehabilitation program that provided 12 weeks of individualized one on one aerobic and resistance training 1-3 days per week. Significant themes for each question were as follows: Question #1. Who referred you to the program/facility? Oncology team (Χ² = 145.814 P ≤ 0.001); Question #2. What convinced you to follow through with the referral? Health, fatigue, and need for supervision (Χ² = 74.814 P ≤ 0.001); and Question #3. What motivates you to continue in the program? Personal results, getting healthy, and the trainer (Χ² = 108.729 P ≤ 0.001). In this study, oncology team referral confirms previous work. Patient follow-through and continuation appear largely self-motivated as patients' health and the attainment of health through personal results are primary motivators for continuation in the program. Question #3 responses note the importance of the trainer in maintaining continuation in an exercise oncology rehabilitation program.

Design and reporting of phase III oncology trials with prospective biomarker validation

BACKGROUND

Phase III trials with prospective biomarker validation are essential to drug development in the era of personalized oncology. However, concerns have emerged regarding the design and reporting of phase III trials with prospective biomarker validation.

METHODS

We searched MEDLINE for phase III oncology trials with prospective biomarker validation published in high-impact medical journals from 2011 to 2020. Information regarding trial design and reporting were extracted. Descriptive methods were used to summarize the results.

RESULTS

We identified 45 phase III trials with prospective biomarker validation. There was a trend for increasing use of biomarker validation phase III trials (from 1 trial in 2011 to 12 trials in 2020). For 39 (86.7%) trials, results in biomarker-negative population were either listed as an exploratory subgroup analysis (62.2%) or not mentioned in the methods (24.4%). Twenty-one (46.7%) trials were originally designed without biomarker validation but were then apparently modified to incorporate prospective biomarker validation after trial commencement, albeit only 15 (33.3%) trials reported this change. Treatment effect and primary outcome values in biomarker-negative patients were not reported in 24.4% and 40.0% trials, respectively. For 18 trials with statistically significant results in the overall population, only 7 trials reported a hazard ratio less than 0.8 in the biomarker-negative population.

CONCLUSIONS

Although biomarker validation in phase III trials have been increasingly used in the past decade, issues regarding changes in trial design after commencement without disclosure, underreporting of results in biomarker-negative groups, and recommending treatment in biomarker negative groups despite modest effects require substantial improvement.

The Enhancing Oncology Model: Leveraging improvement science to increase health equity in value-based care

The Oncology Care Model (OCM), launched in 2016 by the Centers for Medicare and Medicaid Services, was the first demonstration of value-based payment in oncology. Although the OCM delivered mixed results in terms of quality of care and total episode costs, the model had no statistically significant impact on remediating racial, ethnic, and socioeconomic disparities among beneficiaries. These deficits have been prominent in other aspects of US healthcare, and as a result, the Institute for Healthcare Improvement has advocated for stakeholders to leverage improvement science, an applied science that focuses on implementing rapid cycles for change, to identify and overcome barriers to health equity. With the announcement of the new Enhancing Oncology Model, a continuation of the OCM's efforts in introducing value to cancer care for episodes surrounding chemotherapy administration, both policymakers and providers must apply tenets of improvement science and make eliminating disparities in alternative payment models a forefront objective. In this commentary, we discuss previous inequities in alternative payment models, the role that improvement science plays in addressing health-care disparities, and steps that stakeholders can take to maximize equitable outcomes in the Enhancing Oncology Model.

Twelve ESMO Congress 2022 breakthroughs: practicing oncologists' perceptions and potential application on presented data

BACKGROUND

During the European Society for Medical Oncology (ESMO) Congress 2022, outcome data of a great number of clinical trials were presented. For the attending medical oncologist, it is important to structure these data in a way that facilitates a trade-off between treatment burden and benefit.

MATERIALS AND METHODS

To illustrate this, we carried out a narrative non-systematic review of 12 selected oral presentations with potential impact on future daily practice, focusing on trial methodology, possible study flaws, reported clinical benefit and implementability.

RESULTS

The selected presentations encompassed 10 phase III trials, 1 randomized phase II trial and 1 phase II trial. In 7 out of 12 trials, quality of life and/or patient-reported outcomes had been evaluated. None of the trials, which reported progression-free survival (PFS) data, provided information, which could exclude informative censoring bias. In none of the trials reporting overall survival (OS) data, potential flaws due to undesirable crossover and imbalance between study groups regarding post-progression treatments were addressed. For the 11 reviewed randomized trials, the ESMO-Magnitude of Clinical Benefit Scale (MCBS) grade achieved with the new intervention was calculated based on the presented data. The MCBS grade varied from 1 to 5.

CONCLUSIONS

Our review confirms the high-quality standard of current cancer research and the clinical relevance of the research questions answered. However, during presentation of PFS and/or OS data, factors known to affect PFS and OS analysis should be structurally addressed. In order to keep cancer care affordable and sustainable, it could be considered to include an ESMO-MCBS threshold in the drug appraisal process of regulatory authorities.

Progress in precision therapy in pediatric oncology

PURPOSE OF REVIEW

The fields of precision medicine and cancer genomics in pediatric oncology are rapidly evolving. Novel diagnostic tools are critical in refining cancer diagnoses, stratifying patient risk, and informing treatment decisions. This review is timely and relevant as it discusses advantages and drawbacks of common molecular profiling techniques and highlights novel platforms, which may address select limitations. We discuss recent publications demonstrating utility of large-scale molecular profiling and feasibility and logistics of matching targeted therapies to patients.

RECENT FINDINGS

We describe the increased accessibility of next-generation sequencing, complementary profiling methods, and strategies to guide treatment decisions. We describe curation and sharing of large genomic datasets and novel mechanisms to obtain matched targeted therapies. Importantly, we discuss relevant publications in distinct disease domains that support indications for evidence-based precision therapy. Lastly, we introduce the incremental analyses that can be obtained via whole-genome and transcriptome sequencing.

SUMMARY

Here we highlight high-yield clinical scenarios of precision medicine approaches and identify the ongoing challenges including universally defining clinical actionability, optimizing trial design to account for molecular heterogeneity while acknowledging limitations in patient accrual, expanding access to molecularly targeted therapies, and validating new tools and technology to aid in precision medicine therapeutic approaches.

Essentials of cardio-oncology

Cardio-oncology is a subspecialty that provides cardiac care for patients with cancer. Newer oncological agents have not only increased survivorship, but also sprouted novel cardiovascular toxicity (CVT) involving any component of the cardiovascular system, albeit with some preferential targets. Patients with cancer should undergo a baseline cardiovascular risk assessment and have individualised surveillance planned during cancer therapy and post treatment. The early diagnosis of CVT, by clinical history and examination along with imaging and laboratory analysis, is paramount. Management includes cardioprotective strategies and multidisciplinary decision-making regarding the risk-benefit ratio of oncological treatment based on CVT.

[The cancer epidemic : Global significance of cancer and the situation in oncological imaging]

A significant increase in the incidence of cancer is expected worldwide. In Europe, cancer will soon be the leading cause of death, ahead of cardiovascular disease. Concerted efforts at the scientific, medical, societal, and political levels are required to address this problem on a global scale. High-quality oncological imaging is of particular importance in this regard. Access to it has been shown to have a significant impact on quality of care and survival. Imaging is an essential component of screening and early detection. In clinical oncology, imaging is essential for multidisciplinary diagnostics and personalized therapy. Likewise, imaging is necessary in translational and clinical research. Imaging techniques are also themselves the subject of research and development and, associated with this, are also of great importance as an economic factor. This article aims to provide insights into the global problem of oncology and the contribution that oncological imaging can make to its management.

European regulatory strategy for supporting childhood cancer therapy developments

INTRODUCTION

Regulatory decisions on paediatric investigation plans (PIPs) aim at making effective and safe medicines timely available for children with high unmet medical need. At the same time, scientific knowledge progresses continuously leading frequently to the identification of new molecular targets in the therapeutic area of oncology. This, together with further efforts to optimise next generation medicines, results in novel innovative products in development pipelines. In the context of global regulatory development requirements for these growing pipelines of innovative products (e.g. US RACE for children Act), it is an increasing challenge to complete development efforts in paediatric oncology, a therapeutic area of rare and life-threatening diseases with high unmet needs.

OBJECTIVE

Regulators recognise feasibility challenges of the regulatory obligations in this context. Here, we explain the EU regulatory decision making strategy applied to paediatric oncology, which aims fostering evidence generation to support developments based on needs and robust science. Because there is a plethora of products under development within given classes of or within cancer types, priorities need to be identified and updated as evidence evolves. This also includes identifying the need for third or fourth generation products to secure focused and accelerated drug development.

CONCLUSION

An agreed PIP, as a plan, is a living document which can be modified in light of new evidence. For this to be successful, input from the various relevant stakeholders, i.e. patients/parents, clinicians and investigators is required. To efficiently obtain this input, the EMA is co-organising with ACCELERATE oncology stakeholder engagement platform meetings.

Implementation and Clinical Adoption of Precision Oncology Workflows Across a Healthcare Network

BACKGROUND

Precision oncology relies on molecular diagnostics, and the value-proposition of modern healthcare networks promises a higher standard of care across partner sites. We present the results of a clinical pilot to standardize precision oncology workflows.

METHODS

Workflows are defined as the development, roll-out, and updating of disease-specific molecular order sets. We tracked the timeline, composition, and effort of consensus meetings to define the combination of molecular tests. To assess clinical impact, we examined order set adoption over a two-year period (before and after roll-out) across all gastrointestinal and hepatopancreatobiliary (GI) malignancies, and by provider location within the network.

RESULTS

Development of 12 disease center-specific order sets took ~9 months, and the average number of tests per indication changed from 2.9 to 2.8 (P = .74). After roll-out, we identified significant increases in requests for GI patients (17%; P < .001), compliance with testing recommendations (9%; P < .001), and the fraction of "abnormal" results (6%; P < .001). Of 1088 GI patients, only 3 received targeted agents based on findings derived from non-recommended orders (1 before and 2 after roll-out); indicating that our practice did not negatively affect patient treatments. Preliminary analysis showed 99% compliance by providers in network sites, confirming the adoption of the order sets across the network.

CONCLUSION

Our study details the effort of establishing precision oncology workflows, the adoption pattern, and the absence of harm from the reduction of non-recommended orders. Establishing a modifiable communication tool for molecular testing is an essential component to optimize patient care via precision oncology.

Management of Cancer Patients in the COVID-19 Crisis Using Telemedicine: A Systematic Review

BACKGROUND

Telemedicine can provide a solution for disease management during the COVID-19 pandemic. This literature review aims to explore the role of telemedicine during the COVID-19 pandemic for management of cancer patients.

METHOD

A comprehensive systematic search was conducted in PubMed, Science Direct, EMBASE, and Web of Science databases for the papers published until April 2021. Studies were included in case they had practically used telemedicine in the management of cancer patients during the COVID-19 crisis.

RESULTS

After screening 2614 titles and abstracts and reviewing 305 full-texts, 16 studies were found to be eligible. The results indicated that most of the patients contacted by telemedicine services mostly used to intract with patients breast cancer (n=4, 25%). The most common use of telemedicine was the provision of virtual visit services (n=10, 62.25%). Besides, communication was most frequently provided by live video conferences (n=11, 68.75%).

CONCLUSION

Telemedicine can provide continued access to necessary health services in oncology care and serve as an important role in pandemic planning and response.

Pediatric and Adult Cardiologists' and Respirologists' Referral Practices to Palliative Care

CONTEXT

Children and adults with advanced cardiac or respiratory disease may benefit from specialized palliative care (SPC), but there has been little SPC research in this area.

OBJECTIVES

To explore pediatric cardiologists' and respirologists' (pediatric clinicians) beliefs about and referral practices to SPC and compare these results to adult cardiologists and respirologists (adult clinicians).

METHODS

Pediatric and adult clinicians were sent a survey exploring SPC referral practices and beliefs. Responses were summarized with descriptive statistics. Pediatric and adult clinicians' responses were compared using Pearson's chi-square test.

RESULTS

The response rate was 56% (989/1759); 9% (87/989) were pediatric clinicians. Pediatric clinicians were more likely than adult clinicians to be female, work in an academic center, and experience fewer patient deaths (P<0.001). Pediatric clinicians reported better access to SPC clinical nurse specialists, spiritual care specialists and bereavement counselors (P<0.001), while adult clinicians reported better access to palliative care units (P<0.001). Pediatric clinicians referred to SPC earlier, while adult clinicians tended to refer after disease directed therapies were stopped (P<0.001). More than half of all clinicians felt patients had negative perceptions of the phrase "palliative care". Although most clinicians were satisfied with SPC quality (73-82%), fewer adult clinicians were satisfied with SPC availability (74 vs. 47%; P<0.001). Fewer pediatric clinicians felt that SPC prioritized oncology patients (13 vs. 53%; P<0.001).

CONCLUSION

There are important differences between pediatric and adult clinicians' beliefs about and referral practices to SPC. This may reflect unique features of pediatric diseases, provider characteristics, care philosophies, or service availability.

Basket Trials: Review of Current Practice and Innovations for Future Trials

Advances in biology and immunology have elucidated genetic and immunologic origins of cancer. Innovations in sequencing technologies revealed that distinct cancer histologies shared common genetic and immune phenotypic traits. Pharmacologic developments made it possible to target these alterations, yielding novel classes of targeted agents whose therapeutic potential span multiple tumor types. Basket trials, one type of master protocol, emerged as a tool for evaluating biomarker-targeted therapies among multiple tumor histologies. Conventionally conducted within the phase II setting and designed to estimate high and durable objective responses, basket trials pose challenges to statistical design and interpretation of results. This article reviews basket trials implemented in oncology studies and discusses issues related to their statistical design and analysis.

Communication About Fall Risk in Community Oncology Practice: The Role of Geriatric Assessment

PURPOSE

Falls are a modifiable source of morbidity for older adults with cancer, yet are underassessed in oncology practice. In this secondary analysis of a nationwide cluster-randomized controlled trial, we examined characteristics associated with patient-oncologist conversations about falls, and whether oncologist knowledge of geriatric assessment (GA) resulted in more conversations.

METHODS

Eligible patients (ClinicalTrials.gov identifier: NCT02107443) were age ≥ 70 years, had stage III/IV solid tumor or lymphoma, were being treated with noncurative treatment intent, and ≥ 1 GA domain impairment. Patients in both arms underwent GA. At practices randomly assigned to the intervention arm, oncologists were provided a GA summary with management recommendations. In both arms, patients had one clinical encounter audio-recorded, transcribed, and coded to categorize whether a conversation about falls occurred. Generalized linear mixed models adjusted for arm, practice site, and other important covariates were used to generate proportions and odds ratios (ORs) from the full sample.

RESULTS

Of 541 patients (intervention N = 293 and usual care N = 248, mean age: 77 years, standard deviation: 5.3), 528 had evaluable audio recordings. More patients had conversations about falls in the intervention versus usual care arm (61.3% v 10.3%, P < .001). Controlling for the intervention and practice site, history of falls (OR, 2.1; 95% CI, 1.3 to 3.6; P = .005) and impaired physical performance (OR, 4.7; 95% CI, 1.7 to 12.8; P = .002) were significantly associated with patient-oncologist conversations about falls.

CONCLUSION

GA intervention increased conversations about falls. History of falls and impaired physical performance were associated with patient-oncologist conversations about falls in community oncology practice.

An Expanded Role for IRBs in the Oversight of Research Biopsies

Research biopsies included in cancer clinical trials have the goal of advancing scientific understanding of the biological bases of cancer and its treatments, but may offer no prospect of direct benefit to participants and often pose more than minimal risk. The research community is examining the ethics of research biopsies increasingly often, especially when they are mandatory for study participation but do not support primary study objectives and thus are "nonintegral" to the study. Ethical concerns center on the limited scientific justification supporting some biopsies, risks to research participants, and the potential for coercion and therapeutic misconception during the informed consent process. There is also a lack of comprehensive oversight of research biopsies by regulatory agencies and institutions. This paper reviews these ethical concerns, discusses the scope of federal oversight, and suggests that institutional review boards (IRBs) should assume a larger role in ensuring the ethical conduct of research biopsies. It concludes with guidance to IRBs on how to weigh the risks, benefits, and acceptability of such biopsies in different contexts that is based on a framework the American Society of Clinical Oncology developed for the inclusion of research biopsies in oncology clinical trials.

Artificial intelligence in histopathology: enhancing cancer research and clinical oncology

Artificial intelligence (AI) methods have multiplied our capabilities to extract quantitative information from digital histopathology images. AI is expected to reduce workload for human experts, improve the objectivity and consistency of pathology reports, and have a clinical impact by extracting hidden information from routinely available data. Here, we describe how AI can be used to predict cancer outcome, treatment response, genetic alterations and gene expression from digitized histopathology slides. We summarize the underlying technologies and emerging approaches, noting limitations, including the need for data sharing and standards. Finally, we discuss the broader implications of AI in cancer research and oncology.

Uptake of oncology biosimilars: managed care strategies to improve value-based care systems

The use of biosimilars in oncology and as supportive agents for patients with cancer has introduced an important opportunity to expand access to cost-effective care, but their utilization remains inconsistent and is influenced by a variety of factors. Promoting the uptake of biosimilars across healthcare systems relies on improving perception and education about biosimilars, which involves multiple stakeholders, including pharmacists, providers, and patients. Clinicians and managed care professionals must consider comparative analytical studies, clinical efficacy data, and reductions in costs of care associated with biosimilars when establishing protocols for their inclusion within formularies. Real-world switch studies in oncology biosimilars that have demonstrated bioequivalence provide basis to support efficacy and safety to transition to a biosimilar product. Incorporating oncology biosimilars into treatment pathways will be an important next step in providing value-based care to patients with cancer.

[PERSONALIZED MEDICINE IN ONCOLOGY REQUIRES TEAMWORK BETWEEN MEDICAL ONCOLOGISTS AND MOLECULAR PATHOLOGISTS]

The systemic anti-cancer approach is based on medical/pharmaceutical interventions affecting cancer cells at multiple sites, including local and distant regions. Interventions include: cytotoxic chemotherapy agents used for direct extermination of proliferating cells, hormonal interventions altering the tumor environment and affecting its ability to survive and thrive, biological drugs restoring the function defective proteins in mutated tumors, and immunological medications encouraging effective immune recognition of tumor cells and associated immune response. "Personalized medicine in oncology" aims to make anti-cancer treatment more effective and with less side effects. Potential candidates are identified both clinically per indication for therapy and ability to tolerate it, and pathologically-molecularly assessing unique biological changes in the tumor cells and/or their immediate environment. Safe and effective treatment directed to the dominant biological changes is essential as well. The biological changes in the tumor and/or its immediate environment are referred to as "bio-markers", and point to pathological changes accumulated in the tissue during the malignant transformation and tumor progression. The relevant tests for biomarker assessment are performed at the protein level or on genetic material (DNA or RNA); they require high levels of accuracy and reliability and short turnover time for results. Communication between teams assessing the molecular results and a general pathologist may facilitate high quality assessment. Laboratory tests with accurate assessment of biomarkers in over 500 genes are available in the pathology laboratories in Israel since 2020.

Using Guideline-Based Clinical Decision Support in Oncological Multidisciplinary Team Meetings: A Prospective, Multicenter Concordance Study

Background

Multidisciplinary team meetings formulate guideline-based individual treatment plans based on patient and disease characteristics and motivate reasons for deviation. Clinical decision trees could support multidisciplinary teams to adhere more accurately to guidelines. Every clinical decision tree is tailored to a specific decision moment in a care pathway and is composed of patient and disease characteristics leading to a guideline recommendation.

Objective

This study investigated (1) the concordance between multidisciplinary team and clinical decision tree recommendations and (2) the completeness of patient and disease characteristics available during multidisciplinary team meetings to apply clinical decision trees such that it results in a guideline recommendation.

Methods

This prospective, multicenter, observational concordance study evaluated 17 selected clinical decision trees, based on the prevailing Dutch guidelines for breast, colorectal and prostate cancers. In cases with sufficient data, concordance between multidisciplinary team and clinical decision tree recommendations was classified as concordant, conditional concordant (multidisciplinary team specified a prerequisite for the recommendation) and non-concordant.

Results

Fifty-nine multidisciplinary team meetings were attended in 8 different hospitals, and 355 cases were included. For 296 cases (83.4%), all patient data were available for providing an unconditional clinical decision tree recommendation. In 59 cases (16.6%), insufficient data were available resulting in provisional clinical decision tree recommendations. From the 296 successfully generated clinical decision tree recommendations, the multidisciplinary team recommendations were concordant in 249 (84.1%) cases, conditional concordant in 24 (8.1%) cases and non-concordant in 23 (7.8%) cases of which in 7 (2.4%) cases the reason for deviation from the clinical decision tree generated guideline recommendation was not motivated.

Conclusion

The observed concordance of recommendations between multidisciplinary teams and clinical decision trees and data completeness during multidisciplinary team meetings in this study indicate a potential role for implementation of clinical decision trees to support multidisciplinary team decision-making.

Thyroid cancer under the scope of emerging technologies

The vast majority of thyroid cancers originate from follicular cells. We outline outstanding issues at each step along the path of cancer patient care, from prevention to post-treatment follow-up and highlight how emerging technologies will help address them in the coming years. Three directions will dominate the coming technological landscape. Genomics will reveal tumoral evolutionary history and shed light on how these cancers arise from the normal epithelium and the genomics alteration driving their progression. Transcriptomics will gain cellular and spatial resolution providing a full account of intra-tumor heterogeneity and opening a window on the microenvironment supporting thyroid tumor growth. Artificial intelligence will set morphological analysis on an objective quantitative ground laying the foundations of a systematic thyroid tumor classification system. It will also integrate into unified representations the molecular and morphological perspectives on thyroid cancer.

Harnessing multimodal data integration to advance precision oncology

Advances in quantitative biomarker development have accelerated new forms of data-driven insights for patients with cancer. However, most approaches are limited to a single mode of data, leaving integrated approaches across modalities relatively underdeveloped. Multimodal integration of advanced molecular diagnostics, radiological and histological imaging, and codified clinical data presents opportunities to advance precision oncology beyond genomics and standard molecular techniques. However, most medical datasets are still too sparse to be useful for the training of modern machine learning techniques, and significant challenges remain before this is remedied. Combined efforts of data engineering, computational methods for analysis of heterogeneous data and instantiation of synergistic data models in biomedical research are required for success. In this Perspective, we offer our opinions on synthesizing complementary modalities of data with emerging multimodal artificial intelligence methods. Advancing along this direction will result in a reimagined class of multimodal biomarkers to propel the field of precision oncology in the coming decade.

Advantages of multi-arm non-randomised sequentially allocated cohort designs for Phase II oncology trials

BACKGROUND

Efficient trial designs are required to prioritise promising drugs within Phase II trials. Adaptive designs are examples of such designs, but their efficiency is reduced if there is a delay in assessing patient responses to treatment.

METHODS

Motivated by the WIRE trial in renal cell carcinoma (NCT03741426), we compare three trial approaches to testing multiple treatment arms: (1) single-arm trials in sequence with interim analyses; (2) a parallel multi-arm multi-stage trial and (3) the design used in WIRE, which we call the Multi-Arm Sequential Trial with Efficient Recruitment (MASTER) design. The MASTER design recruits patients to one arm at a time, pausing recruitment to an arm when it has recruited the required number for an interim analysis. We conduct a simulation study to compare how long the three different trial designs take to evaluate a number of new treatment arms.

RESULTS

The parallel multi-arm multi-stage and the MASTER design are much more efficient than separate trials. The MASTER design provides extra efficiency when there is endpoint delay, or recruitment is very quick.

CONCLUSIONS

We recommend the MASTER design as an efficient way of testing multiple promising cancer treatments in non-comparative Phase II trials.

The Molecular Tumor Board Portal supports clinical decisions and automated reporting for precision oncology

There is a growing need for systems that efficiently support the work of medical teams at the precision-oncology point of care. Here, we present the implementation of the Molecular Tumor Board Portal (MTBP), an academic clinical decision support system developed under the umbrella of Cancer Core Europe that creates a unified legal, scientific and technological platform to share and harness next-generation sequencing data. Automating the interpretation and reporting of sequencing results decrease the need for time-consuming manual procedures that are prone to errors. The adoption of an expert-agreed process to systematically link tumor molecular profiles with clinical actions promotes consistent decision-making and structured data capture across the connected centers. The use of information-rich patient reports with interactive content facilitates collaborative discussion of complex cases during virtual molecular tumor board meetings. Overall, streamlined digital systems like the MTBP are crucial to better address the challenges brought by precision oncology and accelerate the use of emerging biomarkers.

A Functional Precision Oncology Approach to Identify Treatment Strategies for Myxofibrosarcoma Patients

In this era of precision medicine, numerous workflows for the targeting of high-recurrent mutations in common tumor types have been developed, leaving patients with rare diseases with few options. Here, we implement a functional precision oncology approach utilizing comprehensive genomic profiling in combination with high-throughput drug screening, to identify tumor-specific drug sensitivities for patients with rare tumor types such as myxofibrosarcoma. From a patient with a high-grade myxofibrosarcoma, who was enrolled in the Englander Institute for Precision Medicine (EIPM) program, we established patient-derived 3D sarco-spheres and xenograft models for functional testing. In the absence of a large cohort of clinically similar cases, high-throughput drug screening was performed on the patient-derived cells, and compared with two other myxofibrosarcoma lines and a benign fibroblast line to functionally identify tumor-specific drug sensitivities. The addition of functional drug sensitivity testing to complement genomic profiling identified multiple therapeutic options that were further validated in patient derived xenograft models. Genomic analyses detected the frequently known codeletion of the tumor suppressors CDKN2A/B together with the methylthioadenosine phosphorylase (MTAP) and a TP53 E286fs*50 mutation. High-throughput drug screening demonstrated tumor-specific sensitivity to compounds targeting the cell cycle. Based on genomic analysis and high-throughput drug screening, we show that targeting the cell cycle in these tumors is a powerful approach. IMPLICATIONS: This study demonstrates the potential of functional testing to aid clinical decision making for patients with rare or molecularly complex malignancies when combined with comprehensive genomic profiling.

Precision patients: Selection practices and moral pathfinding in experimental oncology

This paper addresses selection practices in a Danish phase 1 unit specialised in precision medicine in the field of oncology. Where precision medicine holds the ambition of selecting genetically fit medicine for the patient, we find that precision medicine in the early trial setting is oriented towards selecting clinically and genetically fit patients for available treatment protocols. Investigating how phase 1 oncologists experience and respond to the moral challenges of selecting patients for early clinical trials, we show that inclusion criteria and patient categories are not always transparent to patients. Lack of transparency about inclusion criteria has been interpreted as morally problematic. Yet drawing on social science studies of 'unknowing', we argue that silence and non-transparency in interactions between oncologists and patients are crucial to respect the moral agency of patients at the edge of life and recognise them as belonging to the public of Danish health care. In the discussion, we consider the practice of placing 'unfit' patients on a waiting list for trial participation. Rather than representing an ethical and political problem, we argue, the waiting list can act as a valve enabling oncologists to navigate the scientific and as well as the moral uncertainties in phase 1 oncology.

A Century of Fractionated Radiotherapy: How Mathematical Oncology Can Break the Rules

Radiotherapy is involved in 50% of all cancer treatments and 40% of cancer cures. Most of these treatments are delivered in fractions of equal doses of radiation (Fractional Equivalent Dosing (FED)) in days to weeks. This treatment paradigm has remained unchanged in the past century and does not account for the development of radioresistance during treatment. Even if under-optimized, deviating from a century of successful therapy delivered in FED can be difficult. One way of exploring the infinite space of fraction size and scheduling to identify optimal fractionation schedules is through mathematical oncology simulations that allow for in silico evaluation. This review article explores the evidence that current fractionation promotes the development of radioresistance, summarizes mathematical solutions to account for radioresistance, both in the curative and non-curative setting, and reviews current clinical data investigating non-FED fractionated radiotherapy.

Undifferentiated Sarcomatoid Carcinoma of the Pancreas: From Histology and Molecular Pathology to Precision Oncology

Undifferentiated sarcomatoid carcinoma of the pancreas (SCP) is a rare and aggressive subtype of pancreatic cancer. Histologically, SCP is a poorly differentiated tumor characterized by the lack of glandular differentiation and the presence of mesenchymal-like, spindle-shaped tumor cells. Due to its rarity, only sporadic cases have been reported, while its molecular characterization has not been sufficiently described. Surgical resection with curative intent is the gold-standard of SCP management, but this strategy is possible only in a small proportion of cases due to SCP early metastasization. Although SCP is generally associated with a poor prognosis, some clinical cases amenable to surgical resection and followed by adjuvant chemotherapy have demonstrated a remarkably long survival. Preliminary molecular insights on the SCP molecular landscape have demonstrated the recurrent presence of KRAS and TP53 mutations, highlighting genetic similarities with conventional pancreatic ductal adenocarcinoma (PDAC). Although the use of immunotherapy in PDAC remains an unmet challenge, recent insights indicated a potentially significant role of the PD-L1/Notch3 axis in SCP, opening new horizons for immunotherapy in this cancer subtype. In this review, we described the most important clinic-pathologic features of SCP, with a specific focus on their molecular landscape and the potential targets for precision oncology.

Functional precision oncology: Testing tumors with drugs to identify vulnerabilities and novel combinations

Functional precision medicine is a strategy whereby live tumor cells from affected individuals are directly perturbed with drugs to provide immediately translatable, personalized information to guide therapy. The heterogeneity of human cancer has led to the realization that personalized approaches are needed to improve treatment outcomes. Precision oncology has traditionally used static features of the tumor to dictate which therapies should be used. Static features can include expression of key targets or genomic analysis of mutations to identify therapeutically targetable "drivers." Although a surprisingly small proportion of individuals derive clinical benefit from the static approach, functional precision medicine can provide additional information regarding tumor vulnerabilities. We discuss emerging technologies for functional precision medicine as well as limitations and challenges in using these assays in the clinical trials that will be necessary to determine whether functional precision medicine can improve outcomes and eventually become a standard tool in clinical oncology.

Merkel Cell Carcinoma: A Bibliometric Analysis of the Top 100 Cited Publications

BACKGROUND

Bibliometric studies provide a quantitative statistical analysis of the published literature within a field of interest and allow for easy identification of the major contributing authors, funding sources, and publication trends within the field. To date, no bibliometric studies have been performed pertaining to Merkel cell carcinoma (MCC).

OBJECTIVE

To identify the 100 most frequently cited articles in MCC through a bibliometric analysis of the literature.

METHODS

Web of science was queried to determine the 100 most frequently cited MCC publications published between the years 1970 and 2019. Articles were listed by title, authors and their affiliated institutions, journal title and type, year of publication, country of origin, funding sources, and citation frequency.

RESULTS

Among the 100 most frequently cited MCC publications, articles were cited between 67 and 589 times with a mean of 136.3 times. Articles were cited between 2.0 and 98.2 times per year since publication with a mean of 11.3 times per year. 67% of the articles were published in oncology journals; 33% and 10% of the articles in dermatology and surgery journals, respectively. The most represented journal was Cancer (12%). Paul Nghiem was the most frequently identified author (18%). 36% of the top 100 articles were published out of the University of Washington. The most frequent funding agency was the National Institutes of Health (77%).

CONCLUSION

Through this bibliometric analysis, researchers can easily identify key publications pertaining to MCC, which may in turn enhance their approach to understanding and practicing evidence-based medicine regarding MCC.

Artificial intelligence, molecular subtyping, biomarkers, and precision oncology

A targeted cancer therapy is only useful if there is a way to accurately identify the tumors that are susceptible to that therapy. Thus rapid expansion in the number of available targeted cancer treatments has been accompanied by a robust effort to subdivide the traditional histological and anatomical tumor classifications into molecularly defined subtypes. This review highlights the history of the paired evolution of targeted therapies and biomarkers, reviews currently used methods for subtype identification, and discusses challenges to the implementation of precision oncology as well as possible solutions.

Oncology drug-companion diagnostic combinations

With the development of trastuzumab for metastatic breast cancer a new era began in cancer drug development. The drug-diagnostic codevelopment model with its clinical enrichment trial design has enabled development of target specific drugs for molecular defined subsets of patients. Since the simultaneous approval of trastuzumab and the HercepTest in 1998, the number of FDA-approved drug-companion diagnostic combinations within oncology and hematology have steadily increased. By June 2021, the number of drugs that have a companion diagnostic (CDx) linked to its use has reached 46. For these drugs, the CDx assays play an important role in defining the patient population likely to respond and without the assay they will often lose their value. This short article is based on an analysis of the FDA List of Cleared or Approved Companion Diagnostic Devices and relevant information in the Drugs@FDA, and will focus on the drug-CDx combinations, drug classes, clinical development, and the regulatory path and status.

Do the Potential Medical Benefits of Phase 1 Pediatric Oncology Trials Justify the Risks? Views of the United States Public

OBJECTIVES

To assess the US public's views on whether the potential medical benefits of phase 1 pediatric oncology trials justify the risks.

STUDY DESIGN

Online survey of a nationally representative sample of US adults. Participants were presented with a hypothetical scenario in which they have a 10-year-old child with advanced cancer. They were then offered the option of giving their child supportive care or trying one more potential treatment, in the research or clinical care setting, which has the same risks and potential medical benefits as the average phase 1 pediatric oncology trial. We assessed what percentage of respondents thought the potential medical benefits justify the risks.

RESULTS

In total, 1658 of the 2508 individuals who were sent the survey participated (response rate = 66.1%). Of those who passed all 3 test questions indicating understanding, 67.1% in the research scenario and 58.5% in the clinical care scenario regarded the potential medical benefits of an average phase 1 pediatric oncology trial as equal to or greater than the risks. In addition, 53.4% of respondents in the research scenario thought it was appropriate for researchers to conduct a study in children with these risks and potential medical benefits, and 46.9% stated they would enroll their own child in such a trial.

CONCLUSIONS

A majority of the US public regards the potential medical benefits of average phase 1 pediatric oncology trials as justifying the risks. This finding suggests that these trials are ethically appropriate and approvable in patients who have no more effective treatment options. At the same time, a significant minority thought the potential medical benefits do not justify the risks, suggesting these trials should be approved only when they have significant social value. Moreover, approximately one-half of respondents regarded the trials as inappropriate and would not enroll their own child, underscoring the need for a rigorous informed consent process that accurately educates parents regarding the risks, potential medical benefits, and alternatives, so they can decide whether to enroll their child based on their own preferences and goals.

Moving beyond conventional stratified analysis to assess the treatment effect in a comparative oncology study

In a comparative oncology study with progression-free or overall survival as the endpoint, the primary or key secondary analysis is routinely stratified by patients' baseline characteristics when evaluating the treatment difference. The validity of a conventional strategy such as a stratified HR analysis depends on stringent model assumptions that are unlikely to be met in practice, especially in immunotherapy studies. Thus, the resulting summary is generally neither valid nor interpretable. This article discusses issues with conventional stratified analyses and presents alternatives using data from KEYNOTE-189, a recent immunotherapy trial for treating patients with metastatic, non-squamous, non-small-cell lung cancer.

Clinical Implications of Malnutrition in the Management of Patients with Pancreatic Cancer: Introducing the Concept of the Nutritional Oncology Board

Pancreatic cancer represents a very challenging disease, with an increasing incidence and an extremely poor prognosis. Peculiar features of this tumor entity are represented by pancreatic exocrine insufficiency and an early and intense nutritional imbalance, leading to the highly prevalent and multifactorial syndrome known as cancer cachexia. Recently, also the concept of sarcopenic obesity has emerged, making the concept of pancreatic cancer malnutrition even more multifaceted and complex. Overall, these nutritional derangements play a pivotal role in contributing to the dismal course of this malignancy. However, their relevance is often underrated and their assessment is rarely applied in clinical daily practice with relevant negative impact for patients' outcome in neoadjuvant, surgical, and metastatic settings. The proper detection and management of pancreatic cancer-related malnutrition syndromes are of primary importance and deserve a specific and multidisciplinary (clinical nutrition, oncology, etc.) approach to improve survival, but also the quality of life. In this context, the introduction of a "Nutritional Oncology Board" in routine daily practice, aimed at assessing an early systematic screening of patients and at implementing nutritional support from the time of disease diagnosis onward seems to be the right path to take.

Patients' Expectations of Benefits From Large-Panel Genomic Tumor Testing in Rural Community Oncology Practices

Large-panel genomic tumor testing (GTT) is an emerging technology that promises to make cancer treatment more precise. Because GTT is novel and complex, patients may have unrealistic expectations and limited knowledge of its benefits. These problems may limit the clinical value of GTT, but their prevalence and associated factors have not been explored.

METHODS

Patients with cancer enrolled in a large initiative to disseminate GTT in community oncology practices completed surveys assessing their expectations, knowledge, and attitudes about GTT. The study sample (N = 1,139) consisted of patients with a range of cancer types (22% gynecologic, 14% lung, 10% colon, 10% breast, and 46% other malignancies) and cancer stages (4% stage I, 3% stage II, 15% stage III, and 74% stage IV). Mean age was 64 years (standard deviation = 11); 668 (59%) were women; 71% had no college degree; 57% came from households with less than $50,000 US dollars household income; and 73% lived in a rural area.

RESULTS

Generally, patients had high expectations that they would benefit from GTT (M = 2.81 on 0-4 scale) and positive attitudes toward it (M = 2.98 on 0-4 scale). Patients also had relatively poor knowledge about GTT (48% correct answers on an objective test of GTT knowledge). Greater expectations for GTT were associated with lower knowledge (b = -0.46; P < .001), more positive attitudes (b = 0.40; P < .001), and lower education (b = -0.53; P < .001).

CONCLUSION

This research suggests patients have high expectations that they will benefit from GTT, which is associated with low knowledge, positive attitudes, and low education. More research is needed to understand the concordance between expectations and actual clinical outcomes.

Scoping review: hotspots for COVID-19 urological research: what is being published and from where?

PURPOSE

Contemporary, original research should be utilised to inform guidelines in urology relating to the COVID-19 pandemic. This comprehensive review aimed to: identify all up-to-date original publications relating to urology and COVID-19, characterise where publications were from, and outline what topics were investigated.

METHODS

This review utilised a search strategy that assessed five electronic databases, additional grey literature, and global trial registries. All current published, in-press, and pre-print manuscripts were included. Eligible studies were required to be original research articles of any study design, reporting on COVID-19 or urology, in any of study population, intervention, comparison, or outcomes. Included studies were reported in a narrative synthesis format. Data were summarised according to primary reported outcome topic. A world heatmap was generated to represent where included studies originated from.

RESULTS

Of the 6617 search results, 48 studies met final inclusion criteria, including 8 pre-prints and 7 ongoing studies from online registries. These studies originated from ten countries according to first author affiliation. Most studies originated from China (n = 13), followed by Italy (n = 12) and USA (n = 11). Topics of the study included pathophysiological, administrative, and clinical fields: translational (n = 14), COVID-19-related outcomes (n = 5), urology training (n = 4), telemedicine (n = 7), equipment and safety (n = 2), urology in general (n = 4), uro-oncology (n = 3), urolithiasis (n = 1), and kidney transplantation (n = 8).

CONCLUSION

This review has outlined available original research relevant to COVID-19 and urology from the international community. This summary may serve as a guide for future research priorities in this area.

Developing and validating model systems for immuno-oncology

Owing to clinical success of immune-checkpoint blockade, immunotherapy is becoming a cornerstone of modern oncology, and immuno-oncology is at the forefront of basic cancer research. This commentary outlines future opportunities for immuno-oncology modeling.

A vision of immuno-oncology: the Siena think tank of the Italian network for tumor biotherapy (NIBIT) foundation

BACKGROUND

The yearly Think Tank Meeting of the Italian Network for Tumor Biotherapy (NIBIT) Foundation, brings together in Siena, Tuscany (Italy), experts in immuno-oncology to review the learnings from current immunotherapy treatments, and to propose new pre-clinical and clinical investigations in selected research areas. MAIN: While immunotherapies in non-small cell lung cancer and melanoma led to practice changing therapies, the same therapies had only modest benefit for patients with other malignancies, such as mesothelioma and glioblastoma. One way to improve on current immunotherapies is to alter the sequence of each combination agent. Matching the immunotherapy to the host's immune response may thus improve the activity of the current treatments. A second approach is to combine current immunotherapies with novel agents targeting complementary mechanisms. Identifying the appropriate novel agents may require different approaches than the traditional laboratory-based discovery work. For example, artificial intelligence-based research may help focusing the search for innovative and most promising combination partners.

CONCLUSION

Novel immunotherapies are needed in cancer patients with resistance to or relapse after current immunotherapeutic drugs. Such new treatments may include targeted agents or monoclonal antibodies to overcome the immune-suppressive tumor microenvironment. The mode of combining the novel treatments, including vaccines, needs to be matched to the patient's immune status for achieving the maximum benefit. In this scenario, specific attention should be also paid nowadays to the immune intersection between COVID-19 and cancer.

Special Issue "Precision Oncology in Melanoma Progression"

Melanoma represents the most malignant type of skin cancer, with increasing incidence worldwide [...].

Clinical Trial Considerations in Neuro-oncology

Clinical trials play a critical role in discovering new treatments, but the path to regulatory approval can be cumbersome and time consuming. Efforts to increase the efficiency and interpretability of clinical trials within the neuro-oncology community have focused on standardization of response assessment, development of consensus guidelines for clinical trial conduct, decentralization of clinical trials, removal of barriers to clinical trial accrual, and re-examination of patient eligibility criteria.

Teaching supportive care: what is the core curriculum?

PURPOSE OF REVIEW

Cancer treatment options have developed rapidly in the past years. Targeted- and immune therapy have resulted in additional supportive care needs. This review describes a teaching program in supportive care.

RECENT FINDINGS

Supportive care begins at the time of cancer diagnosis and continues until the patient has died or is cured and late toxicities and other survivorship issues have been properly addressed. Supportive care is divided into four phases. In the curative phase, competences regarding prevention and management of acute treatment and subacute treatment side effects are important. In the survivorship phase, competences related to late toxicity and chronic toxicity are warranted. In the palliative phase, focus will be on competences concerning cancer complications, and specific end-of-life competences are needed as well. Obviously some competences are needed in all phases, for example, communication skills.

SUMMARY

Competences concerning symptoms and complications are summarized for each phase in table format. General competences are listed in the text body of the manuscript. Regular update and implementation is crucial. The future cancer population will consist of a higher number of older cancer patients and survivors. This should reflect curriculum updates as should the increasing possibilities for multigene sequencing enabling personal medicine (including supportive care) to a larger extent than today.