[Personalized medicine in oncology]. / Personalisierte Medizin in der Onkologie.

Due to the considerable technological progress in molecular and genetic diagnostics as well as increasing insights into the molecular pathogenesis of diseases, there has been a fundamental paradigm shift in the past two decades from a "one-size-fits-all approach" to personalized, molecularly informed treatment strategies. Personalized medicine or precision medicine focuses on the genetic, physiological, molecular, and biochemical differences between individuals and considers their effects on the development, prevention, and treatment of diseases. As a pioneer of personalized medicine, the field of oncology is particularly noteworthy, where personalized diagnostics and treatment have led to lasting change in the treatment of cancer patients in recent years. In this article, the significant change towards personalized treatment concepts, especially in the field of personalized oncology, will be discussed and examined in more detail.

[Exploration and practice of cardio-oncology].

With the improvement of oncology diagnosis and treatment, the survival time of cancer patients has been significantly prolonged, and the cancer therapy-related cardiovascular toxicity such as radiotherapy, chemotherapy, immunotherapy, and surgery are becoming more and more prominent, and it is in this context that the germ of Cardio-Oncology exploration has come into being. The multidisciplinary Cardio-Oncology team aims to establish a multidisciplinary prevention and control system to assess patients' baseline risk factors, individualized monitoring, and weighing the risk-benefit ratio of cancer therapy. At present, the connotation of the discipline of Cardio-Oncology has been expanded horizontally and deepened vertically in China, and Cardio-Oncology treatment centers have blossomed all over the country. Moreover, international and domestic scholars continue to improve Cardio-Oncology guidelines and consensus through their own practice, and develop artificial intelligence software to help the development of the discipline. It is believed that in the future, with the training of Cardio-Oncologists and the output of high-quality clinical research evidence, cardiovascular safety of cancer patients can be ensured more scientifically and effectively.

Toward Equitable Precision Oncology: Monitoring Racial and Ethnic Inclusion in Genomics and Clinical Trials.

PURPOSE: Ethnic diversity in cancer research is crucial as race/ethnicity influences cancer incidence, survival, drug response, molecular pathways, and epigenetic phenomena. In 2018, we began a project to examine racial/ethnic diversity in cancer research, with a commitment to review these disparities every 4 years. This report is our second assessment, detailing the present state of racial/ethnic diversity in cancer genomics and clinical trials. METHODS: To study racial/ethnic inclusion in cancer genomics, we extracted ethnic records from all data sets available at cBioPortal (n = 125,128 patients) and cancer-related genome-wide association studies (n = 28,011,282 patients) between 2018 and 2022. Concerning clinical trials, we selected studies related to breast cancer (n = 125,518 patients, 181 studies), lung cancer (n = 34,329 patients, 119 studies), and colorectal cancer (n = 40,808 patients, 105 studies). RESULTS: In cancer genomics (N = 28,136,410), 3% of individuals lack racial/ethnic registries; tumor samples were collected predominantly from White patients (89.14%), followed by Asian (7%), African American (0.55%), and Hispanic (0.21%) patients and other populations (0.1%). In clinical trials (N = 200,655), data on race/ethnicity are missing for 60.14% of the participants; for individuals whose race/ethnicity was recorded, most were characterized as White (28.33%), followed by Asian (7.64%), African (1.79), other ethnicities (1.37), and Hispanic (0.73). Racial/ethnic representation significantly deviates from global ethnic proportions (P ≤ .001) across all data sets, with White patients outnumbering other ethnic groups by a factor of approximately 4-6. CONCLUSION: Our second update on racial/ethnic representation in cancer research highlights the persistent overrepresentation of White populations in cancer genomics and a notable absence of racial/ethnic information across clinical trials. To ensure more equitable and effective precision oncology, future efforts should address the reasons behind the insufficient representation of ethnically diverse populations in cancer research.

Central venous access device terminologies, complications, and reason for removal in oncology: a scoping review.

BACKGROUND: Lack of agreed terminology and definitions in healthcare compromises communication, patient safety, optimal management of adverse events, and research progress. The purpose of this scoping review was to understand the terminologies used to describe central venous access devices (CVADs), associated complications and reasons for premature removal in people undergoing cancer treatment. It also sought to identify the definitional sources for complications and premature removal reasons. The objective was to map language and descriptions used and to explore opportunities for standardisation. METHODS: A systematic search of MedLine, PubMed, Cochrane, CINAHL Complete and Embase databases was performed. Eligibility criteria included, but were not limited to, adult patients with cancer, and studies published between 2017 and 2022. Articles were screened and data extracted in Covidence. Data charting included study characteristics and detailed information on CVADs including terminologies and definitional sources for complications and premature removal reasons. Descriptive statistics, tables and bar graphs were used to summarise charted data. RESULTS: From a total of 2363 potentially eligible studies, 292 were included in the review. Most were observational studies (n = 174/60%). A total of 213 unique descriptors were used to refer to CVADs, with all reasons for premature CVAD removal defined in 84 (44%) of the 193 studies only, and complications defined in 56 (57%) of the 292 studies. Where available, definitions were author-derived and/or from national resources and/or other published studies. CONCLUSION: Substantial variation in CVAD terminology and a lack of standard definitions for associated complications and premature removal reasons was identified. This scoping review demonstrates the need to standardise CVAD nomenclature to enhance communication between healthcare professionals as patients undergoing cancer treatment transition between acute and long-term care, to enhance patient safety and rigor of research protocols, and improve the capacity for data sharing.

Access to Oncology Medicines in Canada: Consensus Forum for Recommendations for Improvement.

Patient access to new oncology drugs in Canada is only possible after navigating multiple sequential systemic checkpoints for national regulatory approval, health technology assessment (HTA) and collective government price negotiation. These steps delay access and prevent health care providers from being able to prescribe optimal therapy. Eighteen Canadian oncology clinicians from the medicine, nursing and pharmacy professions met to develop consensus recommendations for defining reasonable government performance standards around process and timeliness to improve Canadian cancer patients' access to best care. A modified Delphi methodology was used to identify consensus on 30 questions involving five themes: accountability, disparities, endpoints, timeliness, and cost-effectiveness. It was agreed that greater transparency is required across regulatory and HTA processes. Health professionals in oncology are frustrated for their patients because they are unable to deliver the modern guideline-supported therapies they want to provide due to delays in approval or funding. Canadian health care providers request improvements in timely access to life-saving therapeutics in line with other comparator countries. Clinicians expect urgent improvements in Canadian health systems to give our patients their best chance of survival.

Large Language Models in Oncology: Revolution or Cause for Concern?

The technological capability of artificial intelligence (AI) continues to advance with great strength. Recently, the release of large language models has taken the world by storm with concurrent excitement and concern. As a consequence of their impressive ability and versatility, their provide a potential opportunity for implementation in oncology. Areas of possible application include supporting clinical decision making, education, and contributing to cancer research. Despite the promises that these novel systems can offer, several limitations and barriers challenge their implementation. It is imperative that concerns, such as accountability, data inaccuracy, and data protection, are addressed prior to their integration in oncology. As the progression of artificial intelligence systems continues, new ethical and practical dilemmas will also be approached; thus, the evaluation of these limitations and concerns will be dynamic in nature. This review offers a comprehensive overview of the potential application of large language models in oncology, as well as concerns surrounding their implementation in cancer care.

A Review of Practice-Changing Therapies in Oncology in the Era of Personalized Medicine.

In the past decade, a lot of insight was gathered into the composition of the host and tumor factors that promote oncogenesis and treatment resistance. This in turn has led to the ingenious design of multiple new classes of drugs, which have now become the new standards of care in cancer therapy. These include novel antibody-drug conjugates, chimeric antigen receptor T cell therapies (CAR-T), and bispecific T cell engagers (BitTE). Certain host factors, such as the microbiome composition, are also emerging not only as biomarkers for the response and toxicity to anti-cancer therapies but also as potentially useful tools to modulate anti-tumor responses. The field is slowly moving away from one-size-fits-all treatment options to personalized treatments tailored to the host and tumor. This commentary aims to cover the basic concepts associated with these emerging therapies and the promises and challenges to fight cancer.

Innovation and Discovery: A 30-Year Journey in Advancing Cancer Care.

Since the inaugural issue of Current Oncology was published 30 years ago, we have witnessed significant advancements in cancer research and care [...].

Exercise oncology clinical trials during treatments: a commentary to address the safety concerns of human subjects regulatory reviewers and committees.

Exercise oncology clinical trials contribute to the advancement of our scientific knowledge and to the safety and care of patients diagnosed with cancer. Nevertheless, regulatory reviewers and committees may not be familiar with the well-documented long-term health benefits and safety of the regular practice of physical activity. Moreover, they may not see how the benefits outweigh the risks in the context where patients diagnosed with cancer are typically seen as vulnerable. Therefore, we would like to provide a purpose-built overview of exercise oncology clinical trials for members involved in institutional review committees, including the Scientific Review Committee (SRC), the Institutional Review Board (IRB), and the Data Safety Monitoring Committee (DSMC) to facilitate a greater understanding of the safety and benefits of physical activity during cancer treatments. Communication is key to improve the success of exercise oncology clinical trials, which are vital for patients diagnosed with cancer.

Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop Coordinated by the RECIST Working Group.

Radiomics, the science of extracting quantifiable data from routine medical images, is a powerful tool that has many potential applications in oncology. The Response Evaluation Criteria in Solid Tumors Working Group (RWG) held a workshop in May 2022, which brought together various stakeholders to discuss the potential role of radiomics in oncology drug development and clinical trials, particularly with respect to response assessment. This article summarizes the results of that workshop, reviewing radiomics for the practicing oncologist and highlighting the work that needs to be done to move forward the incorporation of radiomics into clinical trials.

PMFFNet: A hybrid network based on feature pyramid for ovarian tumor segmentation.

Ovarian cancer is a highly lethal malignancy in the field of oncology. Generally speaking, the segmentation of ovarian medical images is a necessary prerequisite for the diagnosis and treatment planning. Therefore, accurately segmenting ovarian tumors is of utmost importance. In this work, we propose a hybrid network called PMFFNet to improve the segmentation accuracy of ovarian tumors. The PMFFNet utilizes an encoder-decoder architecture. Specifically, the encoder incorporates the ViTAEv2 model to extract inter-layer multi-scale features from the feature pyramid. To address the limitation of fixed window size that hinders sufficient interaction of information, we introduce Varied-Size Window Attention (VSA) to the ViTAEv2 model to capture rich contextual information. Additionally, recognizing the significance of multi-scale features, we introduce the Multi-scale Feature Fusion Block (MFB) module. The MFB module enhances the network's capacity to learn intricate features by capturing both local and multi-scale information, thereby enabling more precise segmentation of ovarian tumors. Finally, in conjunction with our designed decoder, our model achieves outstanding performance on the MMOTU dataset. The results are highly promising, with the model achieving scores of 97.24%, 91.15%, and 87.25% in mACC, mIoU, and mDice metrics, respectively. When compared to several Unet-based and advanced models, our approach demonstrates the best segmentation performance.

Leveraging multi-omics data to empower quantitative systems pharmacology in immuno-oncology.

Understanding the intricate interactions of cancer cells with the tumor microenvironment (TME) is a pre-requisite for the optimization of immunotherapy. Mechanistic models such as quantitative systems pharmacology (QSP) provide insights into the TME dynamics and predict the efficacy of immunotherapy in virtual patient populations/digital twins but require vast amounts of multimodal data for parameterization. Large-scale datasets characterizing the TME are available due to recent advances in bioinformatics for multi-omics data. Here, we discuss the perspectives of leveraging omics-derived bioinformatics estimates to inform QSP models and circumvent the challenges of model calibration and validation in immuno-oncology.

Concordance in Molecular Tumor Board Case Reviews in the ASCO TAPUR Study.

PURPOSE: With the advent of precision medicine, molecular tumor boards (MTBs) were established to interpret genomic results and guide decision making for targeted therapy in oncology patients. There are currently no universal guidelines for how MTBs should operate and thus variance can be seen depending on which MTB is reviewing the case. This study assesses the concordance of MTB recommendations when a participant case is reviewed by two different MTBs, establishes potential reasons for discordance, and advocates for the establishment of standard MTB operating guidelines. PATIENTS AND METHODS: Participants with advanced cancer, who had exhausted all standard treatment options were screened for the Targeted Agent and Profiling Utilization Registry (TAPUR) Study. Cases were submitted for MTB review if the treatment proposal was outside the protocol genomic matching rules, or if multiple treatment options were identified. Of the 306 cases submitted for review by the TAPUR MTB from 2016 to 2018, 107 were randomly selected for secondary review by a different MTB group. Recommendations from the original review were not disclosed. Concordance between MTB group recommendations was assessed. Concordance was defined as agreement between MTB reviews on the genomic alteration and study drug match proposed by the clinical site. Thematic qualitative analysis was conducted for the discordant cases to assess reasons for discordance. RESULTS: Complete or partial concordance was observed in 79% of cases (95% CI, 70 to 86; one-sided P = .25). Most discordant analyses were due to disagreements on the strength of evidence regarding efficacy of the proposed treatment (32%). CONCLUSION: When presented with identical participant cases, different MTB review groups make the same or similar treatment recommendations approximately 80% of the time.

[Gastrointestinal tumour prevention strategies]. / Präventionsstrategien gastrointestinaler Tumoren.

Over the past few decades, substantial advancements have been achieved in the early detection and treatment of gastrointestinal oncological diseases. The survival rates of patients have significantly improved due to the expansion and enhancement of therapeutic and diagnostic options, leading to modifications in (neo-)adjuvant, perioperative, and palliative strategies, as well as the advent of personalized molecular therapy. Noteworthy progress has also been observed in primary, secondary, and tertiary prevention domains.Despite these advancements, gastrointestinal tumours continue to be a global health burden, with approximately 4 million new cases diagnosed annually. These constitute over a quarter of all tumour cases, with nearly one-third of all global tumour-related mortalities attributed to gastrointestinal tumours.Emerging evidence implicates aberrant differentiation of stem or progenitor cells in the pathogenesis of gastrointestinal tumour diseases. A confluence of clinically recognized risk factors, including high-fat diet, bile acid, microbiome alterations, and host factors, can instigate chronic inflammation. This disrupts stem cell homeostasis and precipitates malignant transformation. Consequently, environmental inflammation emerges as a critical risk factor warranting consideration in clinical cancer prevention and surveillance strategies.This review encapsulates the current understanding and recommendations in the prevention of selected gastrointestinal tumours, aiming to facilitate their integration into clinical practice. It underscores the need for continued research to further refine diagnostic and therapeutic strategies and improve patient outcomes.

[The use of targeted therapies in gastrointestinal oncology]. / Zielgerichtete Therapien in der gastrointestinalen Onkologie.

In recent years, several drugs have been approved that specifically target molecular changes in tumour cells. For patients with gastrointestinal cancer, this has contributed to a significant improvement in prognosis. This article provides an overview of the currently available treatment options and the underlying biomarkers of their mechanisms of action.The evaluation of biomarkers and the use of targeted therapeutics have now become standard care in gastrointestinal oncology. Beyond the molecular-targeted therapy options already approved in the European Union, there is a multitude of additional drugs and biomarkers available, which can also be used outside of formal approval (so-called off-label use). Examples of this are also discussed in this overview (e.g., HER2-targeted therapy for cholangiocarcinoma, the use of KRASG12C inhibitors, or checkpoint inhibition in microsatellite unstable ductal pancreatic carcinoma).The question whether the use of one of these therapeutics represents a possible treatment option for patients with gastrointestinal cancers is typically discussed in a Molecular Tumour Board after undergoing guideline-appropriate therapies.

From Base Pairs to City Squares: Comprehensive Precision Oncology for the Future.

SUMMARY: An increased understanding of the role of the social determinants of health in cancer prevention, cancer care, and outcomes can lead to their integration into genetics and genomics as well as informing interventions and clinical trials, creating a comprehensive precision oncology framework.

The Biden Cancer Moonshot: American Progress, Global Commitment.

SUMMARY: The Biden Cancer Moonshot is mobilizing efforts toward achieving two clear goals that President Joe Biden and First Lady Jill Biden set: prevent more than 4 million cancer deaths by 2047 and improve the experience of people who are touched by cancer. To achieve these ambitious but achievable goals, the Biden Cancer Moonshot is driving progress across the cancer journey utilizing all facets of the oncology community - federal agencies, and departments, private companies, healthcare providers, patient groups, and philanthropies - to end cancer as we know it here in the United States and all around the world.

The Cancer Spectrum Theory.

SUMMARY: Biological characteristics of tumors are heterogeneous, forming spectra in terms of several factors such as age at onset, anatomic spatial localization, tumor subtyping, and the degree of tumor aggressiveness (encompassing a neoplastic property spectrum). Instead of blindly using dichotomized approaches, the application of the multicategorical and continuous analysis approaches to detailed cancer spectrum data can contribute to a better understanding of the etiology of cancer, ultimately leading to effective prevention and precision oncology. We provide examples of cancer spectra and emphasize the importance of integrating the cancer spectrum theory into large-scale population cancer research.