Delivering precision medicine in oncology today and in future-the promise and challenges of personalised cancer medicine: a position paper by the European Society for Medical Oncology (ESMO)

Soluble CD40 Ligand as a Promising Biomarker in Cancer Diagnosis

Cancer remains a significant challenge in medicine due to its complexity and heterogeneity. Biomarkers have emerged as vital tools for cancer research and clinical practice, facilitating early detection, prognosis assessment, and treatment monitoring. Among these, CD40 ligand (CD40L) has gained attention for its role in immune response modulation. Soluble CD40 ligand (sCD40L) has shown promise as a potential biomarker in cancer diagnosis and progression, reflecting interactions between immune cells and the tumor microenvironment. This review explores the intricate relationship between sCD40L and cancer, highlighting its diagnostic and prognostic potential. It discusses biomarker discovery, emphasizing the need for reliable markers in oncology, and elucidates the roles of CD40L in inflammatory responses and interactions with tumor cells. Additionally, it examines sCD40L as a biomarker, detailing its significance across various cancer types and clinical applications. Moreover, the review focuses on therapeutic interventions targeting CD40L in malignancies, providing insights into cellular and gene therapy approaches and recombinant protein-based strategies. The clinical effectiveness of CD40L-targeted therapy is evaluated, underscoring the need for further research to unlock the full potential of this signaling pathway in cancer management.

A Video Intervention to Improve Patient Understanding of Tumor Genomic Testing in Patients with Cancer

Background

Tumor genomic testing (TGT) has become standard-of-care for most patients with advanced/metastatic cancer. Despite established guidelines, patient education prior to TGT is variable or frequently omitted. The purpose of this study was to evaluate the impact of a concise (3-4 minute) video for patient education prior to TGT.

Methods

Based on a quality improvement cycle, an animated video was created to be applicable to any cancer type, incorporating culturally diverse images, available in English and Spanish. Patients undergoing standard-of care TGT were enrolled at a tertiary academic institution and completed validated survey instruments immediately prior to video viewing (T1) and immediately post-viewing (T2). Instruments included: 1) 10-question objective genomic knowledge/understanding; 2) 10-question video message-specific knowledge/recall; 3) 11-question Trust in Physician/Provider; 4) attitudes regarding TGT. The primary objective was change in outcomes from before to after the video was assessed with Wilcoxon signed rank test.

Results

From April 2022 to May 2023, a total of 150 participants were enrolled (MBC n=53, LC n=38, OC n=59). For the primary endpoint, there was a significant increase in video message-specific knowledge (median 10 point increase; p<0.0001) with no significant change in genomic knowledge/understanding (p=0.89) or Trust in Physician/Provider (p=0.59). Results for five questions significantly improved, including the likelihood of TGT impact on treatment decision, incidental germline findings, and cost of testing. Improvement in video message-specific knowledge was consistent across demographic groups, including age, income, and education. Individuals with less educational attainment had had greater improvement from before to after video viewing.

Conclusions

A concise, 3-4 minute, broadly applicable video incorporating culturally diverse images administered prior to TGT significantly improved video message-specific knowledge across all demographic groups. This resource is publicly available at http://www.tumor-testing.com, with a goal to efficiently educate and empower patients regarding TGT while addressing guidelines within the flow of clinical practice.

Clinical Trial Registration

ClinicalTrials.gov NCT05215769.

Cancer Treatment Closer to the Patient Reduces Travel Burden, Time Toxicity, and Improves Patient Satisfaction, Results of 546 Consecutive Patients in a Northern Italian District

Background and Objectives: The distance to cancer facilities may cause disparities by creating barriers to oncologic diagnosis and treatment, and travel burden may cause time and financial toxicity. Materials and Methods: To relieve travel burden, a program to deliver oncologic treatment closer to the patient was initiated in the district of Piacenza (Northern Italy) several years ago. The oncologic activities are performed by oncologists and by nurses who travel from the oncologic ward of the city hospital to territorial centres to provide cancer patient management. This model is called Territorial Oncology Care (TOC): patients are managed near their home, in three territorial hospitals and in a health centre, named "Casa della Salute" (CDS). A retrospective study was performed and the records of patients with cancer managed in the TOC program were analysed. The primary endpoints were the km and time saved, the secondary endpoints: reduction of caregiver need for transport and patient satisfaction. Results: 546 cancer patients managed in the TOC program from 2 January 2021 to 30 June 2022 were included in this study. Primary endpoints: median km to reach the city hospital: 26 (range 11-79 km) median time: 44 min (range 32-116); median km to reach the territorial clinicians in the TOC program: 7 (range 1-35 km), median time: 16 minutes (range 6-54), p < 0.001. Secondary endpoints: 64.8% of patients who needed a caregiver for the city hospital could travel alone in the TOC program and 99.63% of patients were satisfied. Conclusions: The results of this retrospective study highlight the possibility of treating cancer patients near their residence, reducing travel burden and saving time.

Realm of proteomics in breast cancer management and drug repurposing to alleviate intricacies of treatment

Breast cancer, a multi-networking heterogeneous disease, has emerged as a serious impediment to progress in clinical oncology. Although technological advancements and emerging cancer research studies have mitigated breast cancer lethality, a precision cancer-oriented solution has not been achieved. Thus, this review will persuade the acquiescence of proteomics-based diagnostic and therapeutic options in breast cancer management. Recently, the evidence of breast cancer health surveillance through imaging proteomics, single-cell proteomics, interactomics, and post-translational modification (PTM) tracking, to construct proteome maps and proteotyping for stage-specific and sample-specific cancer subtyping have outperformed conventional ways of dealing with breast cancer by increasing diagnostic efficiency, prognostic value, and predictive response. Additionally, the paradigm shift in applied proteomics for designing a chemotherapy regimen to identify novel drug targets with minor adverse effects has been elaborated. Finally, the potential of proteomics in alleviating the occurrence of chemoresistance and enhancing reprofiled drugs' effectiveness to combat therapeutic obstacles has been discussed. Owing to the enormous potential of proteomics techniques, the clinical recognition of proteomics in breast cancer management can be achievable and therapeutic intricacies can be surmountable.

Building a large gene expression-cancer knowledge base with limited human annotations

Cancer prevention is one of the most pressing challenges that public health needs to face. In this regard, data-driven research is central to assist medical solutions targeting cancer. To fully harness the power of data-driven research, it is imperative to have well-organized machine-readable facts into a knowledge base (KB). Motivated by this urgent need, we introduce the Collaborative Oriented Relation Extraction (CORE) system for building KBs with limited manual annotations. CORE is based on the combination of distant supervision and active learning paradigms and offers a seamless, transparent, modular architecture equipped for large-scale processing. We focus on precision medicine and build the largest KB on 'fine-grained' gene expression-cancer associations-a key to complement and validate experimental data for cancer research. We show the robustness of CORE and discuss the usefulness of the provided KB. Database URL https://zenodo.org/record/7577127.

[Medical consent in the era of personalized medicine: Issues and recommendations]

Free and informed consent as a manifestation of adherence to a therapeutic act in medicine is central to the patient-physician relationship. Despite the medical advances of personalized medicine, it weakens the patient-physician relationship and thus the patient's capacity to consent, due to the increasing complexity of the analysis of available data and the intervention of a large number of specialist physicians in the care trajectory. This article proposes to examine the consequences of personalized medicine on the transmission and nature of information, to rethink the patient-physician relationship and the conditions under which consent is possible. Beyond the impacts of personalized medicine, we believe that the role of the doctor is similar to that of a coordinator capable of ensuring the transmission and coherence of information communicated to patients according to their needs with a view to restoring their understanding of the disease and the therapeutic proposals made to them.

Human Papillomavirus E7 and p16INK4a mRNA Multiplexed Quantification by a QuantiGeneTM Proof-of-Concept Assay Sensitively Detects Infection and Cervical Dysplasia Severity

Background: Persistent infection with human papillomavirus (HPV) can lead to cervical cancer (CxCa). During the progression to CxCa, the expression of HPV oncogenes E6 and E7 is upregulated. In turn, cellular proteins such as p16INK4a are also modulated. The combined detection of HPV oncogenes and cellular biomarkers indicative for dysplasia could be informative and convey better specificity than the current HPV tests that cannot discriminate transient infection from dysplastic changes. Methods: The QuantiGeneTM 2.0 Plex Assay platform was chosen for the effective multiplexing and quantitative detection of seven HPV-E7 mRNA targets (HPV6, 16, 18, 31, 45, 59, and 68) and the cellular mRNA of p16INK4a as a biomarker for HPV-induced transformation. Actin-beta (ACTB) and hypoxanthine-guanine phosphoribosyltransferase 1 (HPRT1) were included as reference markers. Sequences for the specific capture and detector probes were customized and developed by ThermoFisher and formulated as a QuantiGene proof-of-concept (QG-POC) plex-set. The crude lysates of the HPV-positive cervical cancer cell lines CaSki (HPV16), HeLa (HPV18), MRHI-215 (HPV45), Erin59 (HPV59), ME180 (HPV68), and the HPV-negative cell line C33A, as well as liquid-based cytology smear samples (n = 441) were analyzed. The study was a proof-of-concept evaluating the feasibility of the platform. Logistic regression and receiver operating characteristic (ROC) analyses were performed to test for the sensitivity and specificity of HPV detection and dysplastic stage discrimination. Results: A QG-POC assay specifically and sensitively detects the HPV-E7 mRNA of seven different genotypes with an assay linearity between 20 and 13,000 cells. Cellular mRNA was detected from the crude lysates of cell lines and of cellular material from clinical liquid-based cytology smear samples. By combining HPV-E7 and p16INK4a expression normalized to ACTB, high-grade dysplasia (HCIN) and invasive cervical cancer (CxCa) were detectable, discriminable, and correlated to the biomarker expression strength. The ROC analysis from the multivariate logistic regression model including HPV-E7 and p16 INK4a resulted in an AUC of 0.74, at the optimal cut-off (sensitivity: 70.4%; specificity: 66.0%) for HCIN detection. CxCa was detected with an AUC of 0.77 (sensitivity: 81.8%, specificity: 77.4%). Conclusions: The QG-POC assay is sufficiently sensitive to detect and quantify HPV-E7 and cellular mRNA species. Multiplexing allows the specific detection of at least 10 analytes in a single reaction. Determining the abundance of E7 and p16INK4a transcripts when normalized to ACTB is informative about the presence of cervical dysplasia and potentially discriminates between low-grade and high-grade dysplasia and invasive cervical cancer. Further studies including more HPV genotypes and biomarkers are warranted.

NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients

NAVIGATOR is an Italian regional project boosting precision medicine in oncology with the aim of making it more predictive, preventive, and personalised by advancing translational research based on quantitative imaging and integrative omics analyses. The project’s goal is to develop an open imaging biobank for the collection and preservation of a large amount of standardised imaging multimodal datasets, including computed tomography, magnetic resonance imaging, and positron emission tomography data, together with the corresponding patient-related and omics-related relevant information extracted from regional healthcare services using an adapted privacy-preserving model. The project is based on an open-source imaging biobank and an open-science oriented virtual research environment (VRE). Available integrative omics and multi-imaging data of three use cases (prostate cancer, rectal cancer, and gastric cancer) will be collected. All data confined in NAVIGATOR (i.e., standard and novel imaging biomarkers, non-imaging data, health agency data) will be used to create a digital patient model, to support the reliable prediction of the disease phenotype and risk stratification. The VRE that relies on a well-established infrastructure, called D4Science.org, will further provide a multiset infrastructure for processing the integrative omics data, extracting specific radiomic signatures, and for identification and testing of novel imaging biomarkers through big data analytics and artificial intelligence.

ASTRO's Framework for Radiopharmaceutical Therapy Curriculum Development for Trainees

In 2017, the American Society for Radiation Oncology (ASTRO) board of directors prioritized radiopharmaceutical therapy (RPT) as a leading area for new therapeutic development, and the ASTRO RPT workgroup was created. Herein, the workgroup has developed a framework for RPT curriculum development upon which education leaders can build to integrate this modality into radiation oncology resident education. Through this effort, the workgroup aims to provide a guide to ensure robust training in an emerging therapeutic area within the context of existing radiation oncology training in radiation biology, medical physics, and clinical radiation oncology. The framework first determines the core RPT knowledge required to select patients, prescribe, safely administer, and manage related adverse events. Then, it defines the most important topics for preparing residents for clinical RPT planning and delivery. This framework is designed as a tool to supplement the current training that exists for radiation oncology residents. The final document was approved by the ASTRO board of directors in the fall of 2021.

Can Systems Biology Advance Clinical Precision Oncology?

Precision oncology is perceived as a way forward to treat individual cancer patients. However, knowing particular cancer mutations is not enough for optimal therapeutic treatment, because cancer genotype-phenotype relationships are nonlinear and dynamic. Systems biology studies the biological processes at the systems' level, using an array of techniques, ranging from statistical methods to network reconstruction and analysis, to mathematical modeling. Its goal is to reconstruct the complex and often counterintuitive dynamic behavior of biological systems and quantitatively predict their responses to environmental perturbations. In this paper, we review the impact of systems biology on precision oncology. We show examples of how the analysis of signal transduction networks allows to dissect resistance to targeted therapies and inform the choice of combinations of targeted drugs based on tumor molecular alterations. Patient-specific biomarkers based on dynamical models of signaling networks can have a greater prognostic value than conventional biomarkers. These examples support systems biology models as valuable tools to advance clinical and translational oncological research.

Considering religion and spirituality in precision medicine

The emerging era of precision medicine (PM) holds great promise for patient care by considering individual, environmental, and lifestyle factors to optimize treatment. Context is centrally important to PM, yet, to date, little attention has been given to the unique context of religion and spirituality (R/S) and their applicability to PM. R/S can support and reinforce health beliefs and behaviors that affect health outcomes. The purpose of this article is to discuss how R/S can be considered in PM at multiple levels of context and recommend strategies for integrating R/S in PM. We conducted a descriptive, integrative literature review of R/S at the individual, institutional, and societal levels, with the aim of focusing on R/S factors with a high level of salience to PM. We discuss the utility of considering R/S in the suitability and uptake of PM prevention and treatment strategies by providing specific examples of how R/S influences health beliefs and practices at each level. We also propose future directions in research and practice to foster greater understanding and integration of R/S to enhance the acceptability and patient responsiveness of PM research approaches and clinical practices. Elucidating the context of R/S and its value to PM can advance efforts toward a more whole-person and patient-centered approach to improve individual and population health.

Big data, machine learning, and artificial intelligence: a field guide for neurosurgeons

Big data has transformed into a trend phrase in healthcare and neurosurgery, becoming a pervasive and inescapable phrase in everyday life. The upsurge in big data applications is a direct consequence of the drastic boom in information technology as well as the growing number of internet-connected devices called the Internet of Things in healthcare. Compared with business, marketing, and other sectors, healthcare applications are lagging due to a lack of technical knowledge among healthcare workers, technological limitations in acquiring and analyzing the data, and improper governance of healthcare big data. Despite these limitations, the medical literature is flooded with big data-related articles, and most of these are filled with abstruse terminologies such as machine learning, artificial intelligence, artificial neural network, and algorithm. Many of the recent articles are restricted to neurosurgical registries, creating a false impression that big data is synonymous with registries. Others advocate that the utilization of big data will be the panacea to all healthcare problems and research in the future. Without a proper understanding of these principles, it becomes easy to get lost without the ability to differentiate hype from reality. To that end, the authors give a brief narrative of big data analysis in neurosurgery and review its applications, limitations, and the challenges it presents for neurosurgeons and healthcare professionals naive to this field. Awareness of these basic concepts will allow neurosurgeons to understand the literature regarding big data, enabling them to make better decisions and deliver personalized care.

Milestones of Precision Medicine: An Innovative, Multidisciplinary Overview

Although the concept of precision medicine, in which healthcare is tailored to the molecular and clinical characteristics of each individual, is not new, its implementation in clinical practice has been heterogenous. In some medical specialties, precision medicine has gone from being just a promise to a reality that achieves better patient outcomes. This is a fact if we consider, for example, the great advances made in the genetic diagnosis and subsequent treatment of countless hereditary diseases, such as cystic fibrosis, which have improved the life expectancy of many of the affected children. In the field of oncology, the development of targeted therapies has prolonged the survival of patients with breast, lung, colorectal, melanoma, and hematological malignancies. In other disciplines, clinical milestones are perhaps less well known, but no less important. The current challenge is to expand and generalize the use of technologies that are central to precision medicine, such as massively parallel sequencing, to improve the management (prevention and treatment) of complex conditions such as cardiovascular, kidney, or autoimmune diseases. This process requires investment in specialized expertise, multidisciplinary collaboration, and the nationwide organization of genetic laboratories for diagnosis of specific diseases.

Of Screening, Stratification, and Scores

Technological innovations including risk-stratification algorithms and large databases of longitudinal population health data and genetic data are allowing us to develop a deeper understanding how individual behaviors, characteristics, and genetics are related to health risk. The clinical implementation of risk-stratified screening programmes that utilise risk scores to allocate patients into tiers of health risk is foreseeable in the future. Legal and ethical challenges associated with risk-stratified cancer care must, however, be addressed. Obtaining access to the rich health data that are required to perform risk-stratification, ensuring equitable access to risk-stratified care, ensuring that algorithms that perform risk-scoring are representative of human genetic diversity, and determining the appropriate follow-up to be provided to stratification participants to alert them to changes in their risk score are among the principal ethical and legal challenges. Accounting for the great burden that regulatory requirements could impose on access to risk-scoring technologies is another critical consideration.

Heterogeneity of Colorectal Cancer Progression: Molecular Gas and Brakes

The review begins with molecular genetics, which hit the field unveiling the involvement of oncogenes and tumor suppressor genes in the pathogenesis of colorectal cancer (CRC) and uncovering genetic predispositions. Then the notion of molecular phenotypes with different clinical behaviors was introduced and translated in the clinical arena, paving the way to next-generation sequencing that captured previously unrecognized heterogeneity. Among other molecular regulators of CRC progression, the extent of host immune response within the tumor micro-environment has a critical position. Translational sciences deeply investigated the field, accelerating the pace toward clinical transition, due to its strong association with outcomes. While the perturbation of gut homeostasis occurring in inflammatory bowel diseases can fuel carcinogenesis, micronutrients like vitamin D and calcium can act as brakes, and we discuss underlying molecular mechanisms. Among the components of gut microbiota, Fusobacterium nucleatum is over-represented in CRC, and may worsen patient outcome. However, any translational knowledge tracing the multifaceted evolution of CRC should be interpreted according to the prognostic and predictive frame of the TNM-staging system in a perspective of clinical actionability. Eventually, we examine challenges and promises of pharmacological interventions aimed to restrain disease progression at different disease stages.

Developing and Sustaining an Effective and Resilient Oncology Careforce: Opportunities for Action

Advances in cancer care have led to improved survival, which, coupled with demographic trends, have contributed to rapid growth in the number of patients needing cancer care services. However, with increasing caseload, care complexity, and administrative burden, the current workforce is ill equipped to meet these burgeoning new demands. These trends have contributed to clinician burnout, compounding a widening workforce shortage. Moreover, family caregivers, who have unique knowledge of patient preferences, symptoms, and goals of care, are infrequently appreciated and supported as integral members of the oncology "careforce." A crisis is looming, which will hinder access to timely, high-quality cancer care if left unchecked. Stemming from the proceedings of a 2019 workshop convened by the National Cancer Policy Forum of the National Academies of Sciences, Engineering, and Medicine, this commentary characterizes the factors contributing to an increasingly strained oncology careforce and presents multilevel strategies to improve its efficiency, effectiveness, and resilience. Together, these will enable today's oncology careforce to provide high-quality care to more patients while improving the patient, caregiver, and clinician experience.

The evolving landscape of biomarker testing for non-small cell lung cancer in Europe

The discovery of oncogenic driver mutations rendering non-small cell lung cancer (NSCLC) targetable by small-molecule inhibitors, and the development of immunotherapies, have revolutionised NSCLC treatment. Today, instead of non-selective chemotherapies, all patients with advanced NSCLC eligible for treatment (and increasing numbers with earlier, less extensive disease) require fast and comprehensive screening of biomarkers for first-line patient selection for targeted therapy, chemotherapy, or immunotherapy (with or without chemotherapy). To avoid unnecessary re-biopsies, biomarker screening before first-line treatment should also include markers that are actionable from second-line onwards; PD-L1 expression testing is also mandatory before initiating treatment. Population differences exist in the frequency of oncogenic driver mutations: EGFR mutations are more frequent in Asia than Europe, whereas the converse is true for KRAS mutations. In addition to approved first-line therapies, a number of emerging therapies are being investigated in clinical trials. Guidelines for biomarker testing vary by country, with the number of actionable targets and the requirement for extensive molecular screening strategies expected to increase. To meet diagnostic demands, rapid screening technologies for single-driver mutations have been implemented. Improvements in DNA- and RNA-based next-generation sequencing technologies enable analysis of a group of genes in one assay; however, turnaround times remain relatively long. Consequently, rapid screening technologies are being implemented alongside next-generation sequencing. Further challenges in the evolving landscape of biomarker testing in NSCLC are actionable primary and secondary resistance mechanisms to targeted therapies. Therefore, comprehensive testing on re-biopsies, collected at the time of disease progression, in combination with testing of circulating tumour DNA may provide important information to guide second- or third-line therapies. Furthermore, longitudinal biomarker testing can provide insights into tumour evolution and heterogeneity during the course of the disease. We summarise best practice strategies for Europe in the changing landscape of biomarker testing at diagnosis and during treatment.

Cancer Management in Saudi Arabia: Recommendations by the Saudi Oncology HeAlth Economics ExpeRt GrouP (SHARP)

Cancer is widely recognized as a major global health problem and is estimated to rank as one of the leading causes of death worldwide. Saudi Arabia has undergone remarkable socioeconomic development in the past 40 years which has contributed to the increase in cancer incidence. The high costs of new oncology medications in combination with uncertainty of long-term effectiveness and safety outcomes highlight the importance of considering value, in terms of clinical outcomes, relative to cost. We convened a group of experts to discuss key factors impacting the current state of cancer management in Saudi Arabia and to agree on a list of recommendations, with a focus on value-based care, considering evidence, patients, and costs.

Neuroendocrine neoplasia of the gastrointestinal tract revisited: towards precision medicine

Over the past 5 years, a number of notable research advances have been made in the field of neuroendocrine cancer, specifically with regard to neuroendocrine cancer of the gastrointestinal tract. The aim of this Review is to provide an update on current knowledge that has proven effective for the clinical management of patients with these tumours. For example, for the first time in the tubular gastrointestinal tract, well-differentiated high-grade (grade 3) tumours and mixed neuroendocrine-non-neuroendocrine neoplasms (MiNENs) are defined in the WHO classification. This novel classification enables efficient identification of the most aggressive well-differentiated neuroendocrine tumours and helps in defining the degree of aggressiveness of MiNENs. The Review also discusses updates to epidemiology, cell biology (including vesicle-specific components) and the as-yet-unresolved complex genetic background that varies according to site and differentiation status. The Review summarizes novel diagnostic instruments, including molecules associated with the secretory machinery, novel radiological approaches (including pattern recognition techniques), novel PET tracers and liquid biopsy combined with DNA or RNA assays. Surgery remains the treatment mainstay; however, peptide receptor radionuclide therapy with novel radioligands and new emerging medical therapies (including vaccination and immunotherapy) are evolving and being tested in clinical trials, which are summarized and critically reviewed here.

Blowing up Neural Repair for Stroke Recovery: Preclinical and Clinical Trial Considerations

The repair and recovery of the brain after stroke is a field that is emerging in its preclinical science and clinical trials. However, recent large, multicenter clinical trials have been negative, and conflicting results emerge on biological targets in preclinical studies. The coalescence of negative clinical translation and confusion in preclinical studies raises the suggestion that perhaps the field of stroke recovery faces a fate similar to stroke neuroprotection, with interesting science ultimately proving difficult to translate to the clinic. This review highlights improvements in 4 areas of the stroke neural repair field that should reorient the field toward successful clinical translation: improvements in rodent genetic models of stroke recovery, consideration of the biological target in stroke recovery, stratification in clinical trials, and the use of appropriate clinical trial end points.

Understanding Molecular Testing Uptake Across Tumor Types in Eight Countries: Results From a Multinational Cross-Sectional Survey

PURPOSE

The growth in understanding of molecular biology and genomics has augmented the development of targeted cancer treatments; however, challenges exist in access to molecular testing, an essential precursor to treatment decision-making. We used data from a cross-sectional survey to evaluate the differences in uptake of molecular testing.

METHODS

Using the aggregated results of a questionnaire developed and distributed to clinicians by IQVIA, including treatment details and investigations undertaken for patients, we compared proportions of patients receiving molecular testing and targeted treatment by cancer type for the United Kingdom, France, Italy, Germany, Spain, South Korea, Japan, and China. We used multivariable logistic regression methods to understand the effect of country on the odds of receiving a molecular test.

RESULTS

There was a total of 61,491 cases. Across countries and cancer types, uptake rates for molecular testing ranged between 2% and 98%, with the greatest differences seen in gastric cancers (range, 23% to 70%), and significant variations were observed for both European and Asian countries. China consistently demonstrated a significantly reduced uptake for all molecular tests assessed; however; uptake of drug treatment in gastric cancers after testing positive for the human epidermal growth factor receptor 2 gene was higher than in some European countries (China, 85%; European range, 8% to 66%). The uptake of epidermal growth factor receptor gene testing was greater in some Asian countries relative to the United Kingdom, where incidence of lung cancer is higher (Japan: odds ratio, 3.1 [95% CI, 2.6 to 3.8]; South Korea: odds ratio, 2.7 [95% CI, 2 to 3.4]).

CONCLUSION

We have highlighted inequity in access to molecular testing and subsequent treatments across countries, which warrants improvements.

Future Approaches to Precision Oncology-Based Clinical Trials

The last 2 decades have seen a rapid advance of the precision oncology paradigm-from its early singular successes to becoming the prevailing model of cancer therapy. As the treatment of cancer moves away from traditional chemotherapy, so too will oncology clinical trials have to move away from the traditional model of phase I to phase III progression of drug development. Achieving this goal of individualized care will involve a concerted effort by the entire cancer care community to fundamentally change the design and implementation of oncology clinical trials. We envision that the next 2 decades will be a period of evolution in precision oncology clinical trials through scientific and technologic advances, transformation of clinical trial infrastructure, and changes in the kind of evidence required for regulatory approval.

Patent spotlight: small-molecule lysine acetyltransferase inhibitors (KATi)

Lysine (or histone) acetyltransferases plays a key role in genome maintenance and gene regulation and dysregulation of acetylation is a recognized feature of many diseases, including several cancers. Here, the patent landscape surrounding lysine acetyltransferase inhibitors (KATi or HATi), with a focus on small-molecule compounds, is outlined and assessed. Overall, the 36 KATi-specific patents found were categorized into two distinct groups: specific small-molecule inhibitors (compounds and molecules) and patents applying KATi for targeted disease treatment. These patents recognize the emergent potential of KATi to significantly impact on the management of many diseases (including multiple cancer types, neurological disorders and immunological syndromes), improving the range of treatments (and drug classes) available for personalized medicine.

In-Depth Characterization of Mass Spectrometry-Based Proteomic Profiles Revealed Novel Signature Proteins Associated with Liver Metastatic Colorectal Cancers

Liver metastasis is the most common form of metastatic colorectal cancers during the course of the disease. The global change in protein abundance in liver metastatic colorectal cancers and its role in metastasis establishment have not been comprehensively analyzed. In the present study, fresh-frozen tissue samples including normal colon/localized/liver metastatic CRCs from each recruited patient were analyzed by quantitative proteomics using a multiplexed TMT labeling strategy. Around 5000 protein groups were quantified from all samples. The proteomic profile of localized/metastatic CRCs varied greatly from that of normal colon tissues; differential proteins were mainly from extracellular regions and participate in immune activities, which is crucial for the chronic inflammation signaling pathways in the tumor microenvironment. Further statistical analysis revealed 47 proteins exhibiting statistical significance between localized and metastatic CRCs, of which FILI1P1 and PLG were identified for the first time in proteomic data, which were highly associated with liver metastasis in CRCs.

Precision Medicine and Big Data: The Application of an Ethics Framework for Big Data in Health and Research

As opposed to a 'one size fits all' approach, precision medicine uses relevant biological (including genetic), medical, behavioural and environmental information about a person to further personalize their healthcare. This could mean better prediction of someone's disease risk and more effective diagnosis and treatment if they have a condition. Big data allows for far more precision and tailoring than was ever before possible by linking together diverse datasets to reveal hitherto-unknown correlations and causal pathways. But it also raises ethical issues relating to the balancing of interests, viability of anonymization, familial and group implications, as well as genetic discrimination. This article analyses these issues in light of the values of public benefit, justice, harm minimization, transparency, engagement and reflexivity and applies the deliberative balancing approach found in the Ethical Framework for Big Data in Health and Research (Xafis et al. 2019) to a case study on clinical genomic data sharing. Please refer to that article for an explanation of how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. Our discussion is meant to be of use to those involved in the practice as well as governance and oversight of precision medicine to address ethical concerns that arise in a coherent and systematic manner.

Provider engagement in precision oncology education: an exploratory analysis of online continuing medical education data

Given the rapid growth in genomic tests and targeted therapeutics, clinicians are likely to benefit from additional precision medicine education. Aim: This study evaluated the engagement and effectiveness of two interactive, case-based educational modules about somatic tumor testing, developed by the Jackson Laboratory, American Medical Association and Scripps Research Translational Institute, titled ‘Precision Medicine for Your Practice’. Results: 402 participants enrolled in one or both free online continuing education modules, including physicians, nurses, scientists and genetic counselors and 41% completed module evaluations. Over 90% of respondents reported alignment of program with practice needs and planned to change their practice, including patient communication, identifying candidates for testing and/or interpreting test results. Conclusion: These findings support Precision Medicine for Your Practice as an effective education offering for diverse clinical professionals.

Bead-based RNA multiplex panels for biomarker detection in oncology samples

Patient stratification, prognosis and disease monitoring are three important aspects of personalized cancer medicine. With traditional serum tumour protein biomarkers showing lack of specificity and sensitivity, and tumour heterogeneity affecting the response to targeted therapy based on tissue biomarkers, the focus has shifted to the use of molecular tumour signatures as specific biomarkers. Multiplex microsphere-based panels are robust and cost-effective, high throughput molecular assays, which can accurately characterize tumours even from small amounts of poor quality nucleic acids. Only few studies have reported the use of microspheres (beads) to quantify RNA expression of targets of interest simultaneously (multiplexing). This review is an overview of the various applications of bead-based RNA panels in molecular oncology, with focus on the Invitrogen™ QuantiGene™ Plex Assay (Thermo Fisher Scientific), and provides a comparison with PCR-based and other methodologies. The advantages of multiplex bead assays are exemplified by the quantification of RNA expression in formalin-fixed, paraffin embedded (FFPE) archival tissue and the simultaneous detection of biomarkers in low input samples, including quantification of markers in microdissected tissue material, to characterise heterogeneous tumour sites within a sample, and by the detection of markers in low numbers of circulating tumour cells.

Prospective analysis of 895 patients on a UK Genomics Review Board

BACKGROUND

The increasing frequency and complexity of cancer genomic profiling represents a challenge for the oncology community. Results from next-generation sequencing-based clinical tests require expert review to determine their clinical relevance and to ensure patients are stratified appropriately to established therapies or clinical trials.

METHODS

The Sarah Cannon Research Institute UK/UCL Genomics Review Board (GRB) was established in 2014 and represents a multidisciplinary team with expertise in molecular oncology, clinical trials, clinical cancer genetics and molecular pathology. Prospective data from this board were collated.

RESULTS

To date, 895 patients have been reviewed by the GRB, of whom 180 (20%) were referred for clinical trial screening and 62 (7%) received trial therapy. For a further 106, a clinical trial recommendation was given.

CONCLUSIONS

Numerous challenges are faced in implementing a GRB, including the identification of potential germline variants, the interpretation of variants of uncertain significance and consideration of the technical limitations of pathology material when interpreting results. These challenges are likely to be encountered with increasing frequency in routine practice. This GRB experience provides a model for the multidisciplinary review of molecular profiling data and for the linking of molecular analysis to clinical trial networks.

Opportunities and challenges of implementing Pharmacogenomics in cancer drug development

Cancer drug development is a time and resources consuming process. Around 90% of drugs entering clinical trials fail due to lack of efficacy and/or safety issues, more often after conspicuous research and economic efforts. Part of the discarded drugs might be beneficial only in a subgroup of the study patients, and some adverse events might be prevented by identifying those patients more vulnerable to toxicities. The implementation of pharmacogenomic biomarkers allows the categorization of patients, to predict efficacy and toxicity and to optimize the drug development process. Around seventy FDA approved drugs currently present one or more genetic biomarker to keep in consideration, and with the progress of Precision Medicine tailoring therapies on individuals' genomic landscape promises to become a new standard of cancer care. In the current article we review the role of pharmacogenomics in cancer drug development, underlying the advantages and challenges of their implementation.

Working together to deliver stratified medicine research effectively

INTRODUCTION OR BACKGROUND

Stratified medicine is an important area of research across all clinical specialties, with far reaching impact in many spheres. Despite recently formulated global policy and research programmes, major challenges for delivering stratified medicine studies persist. Across the globe, clinical research infrastructures have been setup to facilitate high quality clinical research.

SOURCES OF DATA

This article reviews the literature and summarizes views collated from a workshop held by the UK Pharmacogenetics and Stratified Medicine Network and the NIHR Clinical Research Network in November 2016.

AREAS OF AGREEMENT

Stratified medicine is an important area of clinical research and health policy, benefitting from substantial international, cross-sector investment and has the potential to transform patient care. However there are significant challenges to the delivery of stratified medicine studies.

AREAS OF CONTROVERSY

Complex methodology and lack of consistency of definition and agreement on key approaches to the design, regulation and delivery of research contribute to these challenges and would benefit from greater focus.

GROWING POINTS

Effective partnership and development of consistent approaches to the key factors relating to stratified medicine research is required to help overcome these challenges.

AREAS TIMELY FOR DEVELOPING RESEARCH

This paper examines the critical contribution clinical research networks can make to the delivery of national (and international) initiatives in the field of stratified medicine. Importantly, it examines the position of clinical research in stratified medicine at a time when pressures on the clinical and social services are mounting.

Implementing Precision Medicine in Community-Based Oncology Programs: Three Models

The use of precision medicine and the number of genomic-based treatments and immunotherapies is increasing. Nevertheless, oncology providers face challenges to implementing precision medicine, including in community practices, where most patients receive treatment. On January 31, 2018, ASCO hosted Precision Medicine: Expanding Opportunities, the inaugural event in ASCO's new State of Cancer Care in America (SOCCA) event series. This article draws from the inaugural SOCCA event and the experiences of the SOCCA event participants to summarize the opportunities and challenges of precision medicine, and to highlight three successful models of implementing precision oncology in large, multisite community practices or networks: (1) Intermountain Healthcare, (2) Levine Cancer Institute, Atrium Health, and (3) National Cancer Care Alliance. The experience of these practices suggests that practice innovations that offer clinical decision support through molecular tumor boards and clinical pathways, and administrative support for prior authorization and clinical trial matching are key to successful implementation of large-scale, community-based precision medicine programs.

Somatic Testing: Implications for Targeted Treatment

OBJECTIVE

To provide an overview of key considerations for somatic testing for the purpose of targeting cancer treatment.

DATA SOURCES

Literature; research reports.

CONCLUSION

Genomic testing of cancer cells to identify variants that drive the carcinogenic process is becoming common in clinical settings. Providers and patients need to weigh the potential benefits of testing with technologic and logistic issues.

IMPLICATIONS FOR NURSING PRACTICE

Testing is available for thousands of genomic variants to identify one or more to guide targeted treatment. Oncology nurses need to understand the benefits and limitations of participating in patient-centered implementation of this testing.

Quantitative in vivo proton MR spectroscopic assessment of lipid metabolism: Value for breast cancer diagnosis and prognosis

BACKGROUND

Breast magnetic resonance spectroscopy (¹ H-MRS) has been largely based on choline metabolites; however, other relevant metabolites can be detected and monitored.

PURPOSE

To investigate whether lipid metabolite concentrations detected with ¹ H-MRS can be used for the noninvasive differentiation of benign and malignant breast tumors, differentiation among molecular breast cancer subtypes, and prediction of long-term survival outcomes.

STUDY TYPE

Retrospective.

SUBJECTS

In all, 168 women, aged ≥18 years.

FIELD STRENGTH/SEQUENCE

Dynamic contrast-enhanced MRI at 1.5 T: sagittal 3D spoiled gradient recalled sequence with fat saturation, flip angle = 10°, repetition time / echo time (TR/TE) = 7.4/4.2 msec, slice thickness = 3.0 mm, field of view (FOV) = 20 cm, and matrix size = 256 × 192. ¹ H-MRS: PRESS with TR/TE = 2000/135 msec, water suppression, and 128 scan averages, in addition to 16 reference scans without water suppression.

ASSESSMENT

MRS quantitative analysis of lipid resonances using the LCModel was performed. Histopathology was the reference standard.

STATISTICAL TESTS

Categorical data were described using absolute numbers and percentages. For metric data, means (plus 95% confidence interval [CI]) and standard deviations as well as median, minimum, and maximum were calculated. Due to skewed data, the latter were more adequate; unpaired Mann-Whitney U-tests were performed to compare groups without and with Bonferroni correction. ROC analyses were also performed.

RESULTS

There were 111 malignant and 57 benign lesions. Mean voxel size was 4.4 ± 4.6 cm³ . Six lipid metabolite peaks were quantified: L09, L13 + L16, L21 + L23, L28, L41 + L43, and L52 + L53. Malignant lesions showed lower L09, L21 + L23, and L52 + L53 than benign lesions (P = 0.022, 0.027, and 0.0006). Similar results were observed for Luminal A or Luminal A/B vs. other molecular subtypes. At follow-up, patients were split into two groups based on median values for the six peaks; recurrence-free survival was significantly different between groups for L09, L21 + L23, and L28 (P = 0.0173, 0.0024, and 0.0045).

DATA CONCLUSION

Quantitative in vivo ¹ H-MRS assessment of lipid metabolism may provide an additional noninvasive imaging biomarker to guide therapeutic decisions in breast cancer.

LEVEL OF EVIDENCE

3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:239-249.

Sepsis Diagnostics in the Era of "Omics" Technologies

Sepsis is a multifactorial clinical syndrome with an extremely dynamic clinical course and with high diverse clinical phenotype. Early diagnosis is crucial for the final clinical outcome. Previous studies have not identified a biomarker for the diagnosis of sepsis which would have sufficient sensitivity and specificity. Identification of the infectious agents or the use of molecular biology, next gene sequencing, has not brought significant benefit for the patient in terms of early diagnosis. Therefore, we are currently searching for biomarkers, through "omics" technologies with sufficient diagnostic specificity and sensitivity, able to predict the clinical course of the disease and the patient response to therapy. Current progress in the use of systems biology technologies brings us hope that by using big data from clinical trials such biomarkers will be found.

Clinically Applicable Inhibitors Impacting Genome Stability

Advances in technology have facilitated the molecular profiling (genomic and transcriptomic) of tumours, and has led to improved stratification of patients and the individualisation of treatment regimes. To fully realize the potential of truly personalised treatment options, we need targeted therapies that precisely disrupt the compensatory pathways identified by profiling which allow tumours to survive or gain resistance to treatments. Here, we discuss recent advances in novel therapies that impact the genome (chromosomes and chromatin), pathways targeted and the stage of the pathways targeted. The current state of research will be discussed, with a focus on compounds that have advanced into trials (clinical and pre-clinical). We will discuss inhibitors of specific DNA damage responses and other genome stability pathways, including those in development, which are likely to synergistically combine with current therapeutic options. Tumour profiling data, combined with the knowledge of new treatments that affect the regulation of essential tumour signalling pathways, is revealing fundamental insights into cancer progression and resistance mechanisms. This is the forefront of the next evolution of advanced oncology medicine that will ultimately lead to improved survival and may, one day, result in many cancers becoming chronic conditions, rather than fatal diseases.

The Global Landscape of Nursing and Genomics

PURPOSE

Nurses have a pivotal role in bringing the benefits of genomics and precision medicine to everyday health care, but a concerted global effort is needed to transform nursing policy and practice to address widely acknowledged deficits in nurses' genomic literacy. The purpose was to conduct a global country and organization review of nursing engagement with genomics, informing a landscape analysis to assess readiness for integration of genomics into nursing.

DESIGN

Global nursing leaders and nursing organizations were recruited using a purposive sampling strategy to complete an online survey that assessed the scope of genomic integration in practice and education, challenges and barriers, and priorities for action.

METHODS

The survey was administered online following an orientation webinar. Given the small numbers of nurse leaders globally, results were analyzed and presented descriptively.

FINDINGS

Delegates consisted of 23 nurse leaders from across the world. Genomic services were offered predominantly in specialty centers consisting mostly of newborn screening (15/18) and prenatal screening (11/18). Genomic literacy and infrastructure deficits were identified in both practice and education settings, with only one country reporting a genetic/genomic knowledge and skill requirement to practice as a general nurse.

CONCLUSIONS

These data provide insights into the commitment to and capacity for nursing to integrate genomics, revealing common themes and challenges associated with adoption of genomic health services and integration into practice, education, and policy. Such insights offer valuable context and baseline information to guide the activities of a new Global Genomics Nursing Alliance (G2NA). The G2NA will use the landscaping exercise as a springboard to explore how to accelerate the integration of genomics into nursing healthcare.

CLINICAL RELEVANCE

Genomics is relevant to all healthcare providers across the healthcare continuum. It provides an underpinning for understanding health, risks for and manifestations of disease, therapeutic decisions, development of new therapies, and responses to interventions. Harnessing the benefits of genomics to improve health and care outcomes and reduce costs is a global nursing challenge.

The European Society for Medical Oncology (ESMO) Precision Medicine Glossary

Background

Precision medicine is rapidly evolving within the field of oncology and has brought many new concepts and terminologies that are often poorly defined when first introduced, which may subsequently lead to miscommunication within the oncology community. The European Society for Medical Oncology (ESMO) recognises these challenges and is committed to support the adoption of precision medicine in oncology. To add clarity to the language used by oncologists and basic scientists within the context of precision medicine, the ESMO Translational Research and Personalised Medicine Working Group has developed a standardised glossary of relevant terms.

Materials and methods

Relevant terms for inclusion in the glossary were identified via an ESMO member survey conducted in Autumn 2016, and by the ESMO Translational Research and Personalised Medicine Working Group members. Each term was defined by experts in the field, discussed and, if necessary, modified by the Working Group before reaching consensus approval. A literature search was carried out to determine which of the terms, 'precision medicine' and 'personalised medicine', is most appropriate to describe this field.

Results

A total of 43 terms are included in the glossary, grouped into five main themes-(i) mechanisms of decision, (ii) characteristics of molecular alterations, (iii) tumour characteristics, (iv) clinical trials and statistics and (v) new research tools. The glossary classes 'precision medicine' or 'personalised medicine' as technically interchangeable but the term 'precision medicine' is favoured as it more accurately reflects the highly precise nature of new technologies that permit base pair resolution dissection of cancer genomes and is less likely to be misinterpreted.

Conclusions

The ESMO Precision Medicine Glossary provides a resource to facilitate consistent communication in this field by clarifying and raising awareness of the language employed in cancer research and oncology practice. The glossary will be a dynamic entity, undergoing expansion and refinement over the coming years.

Quantification of altered tissue turnover in a liquid biopsy: a proposed precision medicine tool to assess chronic inflammation and desmoplasia associated with a pro-cancerous niche and response to immuno-therapeutic anti-tumor modalities

Immuno-therapy has begun to revolutionize cancer treatment. However, despite the significant progress achieved in regard to the duration of clinical benefits, a substantial number of patients do not respond to these therapies. To improve the outcome of patients receiving immuno-therapy, there is a need for novel biomarkers that can predict and monitor treatment. Tumor microenvironment alterations, more specifically the state of chronic inflammation and desmoplasia (tumor fibrosis), are important factors to consider in this context. Here, we discuss the potential for quantification of altered tissue turnover in a liquid biopsy as a proposed precision medicine tool to assess chronic inflammation and desmoplasia in the immuno-oncology (IO) setting. We highlight the need for novel non-invasive biomarkers in IO and the importance of addressing tumor microenvironment alterations. We focus on desmoplasia and extracellular matrix (ECM) remodeling, and how the composition of the ECM defines T-cell permissiveness in the tumor microenvironment and opens up the possibility for associated liquid biopsy biomarkers. Moreover, we address the importance of the assessment of chronic inflammation, primarily macrophage activity, in a liquid biopsy.

Advances in Precision Medicine: Tailoring Individualized Therapies

The traditional bench-to-bedside pipeline involves using model systems and patient samples to provide insights into pathways deregulated in cancer. This discovery reveals new biomarkers and therapeutic targets, ultimately stratifying patients and informing cohort-based treatment options. Precision medicine (molecular profiling of individual tumors combined with established clinical-pathological parameters) reveals, in real-time, individual patient's diagnostic and prognostic risk profile, informing tailored and tumor-specific treatment plans. Here we discuss advances in precision medicine presented at the Irish Association for Cancer Research Annual Meeting, highlighting examples where personalized medicine approaches have led to precision discovery in individual tumors, informing customized treatment programs.

The Notch-3 receptor: A molecular switch to tumorigenesis?

The Notch pathway is a highly conserved pathway increasingly implicated with the progression of human cancers. Of the four existing receptors associated with the pathway, the deregulation in the expression of the Notch-3 receptor is associated with more aggressive disease and poor prognosis. Selective targeting of this receptor has the potential to enhance current anti-cancer treatments. Molecular profiling strategies are increasingly incorporated into clinical decision making. This review aims to evaluate the clinical potential of Notch-3 within this new era of personalised medicine.