Seminars in Radiation Oncology最新文献_第7页

Optimizing Informed Consent in Cancer Clinical Trials 癌症临床试验中的知情同意优化。

IF 3.5 3区医学

Seminars in Radiation Oncology Pub Date : 2023-10-01 DOI: 10.1016/j.semradonc.2023.06.001

Subha Perni , Rachel Jimenez , Reshma Jagsi

引用次数: 0

Machine Learning & Molecular Radiation Tumor Biomarkers 机器学习与分子放射肿瘤生物标志物

IF 3.5 3区医学

Seminars in Radiation Oncology Pub Date : 2023-07-01 DOI: 10.1016/j.semradonc.2023.03.002

Nicholas R. Rydzewski MD, MPH , Kyle T. Helzer PhD , Matthew Bootsma MS , Yue Shi PhD , Hamza Bakhtiar BS , Martin Sjöström MD, PhD , Shuang G. Zhao MD, MSE

{"title":"Machine Learning & Molecular Radiation Tumor Biomarkers","authors":"Nicholas R. Rydzewski MD, MPH , Kyle T. Helzer PhD , Matthew Bootsma MS , Yue Shi PhD , Hamza Bakhtiar BS , Martin Sjöström MD, PhD , Shuang G. Zhao MD, MSE","doi":"10.1016/j.semradonc.2023.03.002","DOIUrl":"10.1016/j.semradonc.2023.03.002","url":null,"abstract":"<div>Developing radiation tumor biomarkers that can guide personalized radiotherapy clinical decision making is a critical goal in the effort towards precision cancer medicine. High-throughput molecular assays paired with modern computational techniques have the potential to identify individual tumor-specific signatures and create tools that can help understand heterogenous patient outcomes in response to radiotherapy, allowing clinicians to fully benefit from the technological advances in molecular profiling and computational biology including machine learning. However, the increasingly complex nature of the data generated from high-throughput and “omics” assays require careful selection of analytical strategies. Furthermore, the power of modern machine learning techniques to detect subtle data patterns comes with special considerations to ensure that the results are generalizable. Herein, we review the computational framework of tumor biomarker development and describe commonly used machine learning approaches and how they are applied for radiation biomarker development using molecular data, as well as challenges and emerging research trends.</div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":"33 3","pages":"Pages 243-251"},"PeriodicalIF":3.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287033/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9707580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Promise and Future of Radiomics for Personalized Radiotherapy Dosing and Adaptation 放射组学在个体化放疗剂量和适应方面的前景和未来

IF 3.5 3区医学

Seminars in Radiation Oncology Pub Date : 2023-07-01 DOI: 10.1016/j.semradonc.2023.03.003

Rachel B. Ger PhD , Lise Wei PhD , Issam El Naqa PhD , Jing Wang PhD

{"title":"The Promise and Future of Radiomics for Personalized Radiotherapy Dosing and Adaptation","authors":"Rachel B. Ger PhD , Lise Wei PhD , Issam El Naqa PhD , Jing Wang PhD","doi":"10.1016/j.semradonc.2023.03.003","DOIUrl":"10.1016/j.semradonc.2023.03.003","url":null,"abstract":"<div>Quantitative image analysis, also known as radiomics, aims to analyze large-scale quantitative features extracted from acquired medical images using hand-crafted or machine-engineered feature extraction approaches. Radiomics has great potential for a variety of clinical applications in radiation oncology, an image-rich treatment modality that utilizes computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) for treatment planning, dose calculation, and image guidance. A promising application of radiomics is in predicting treatment outcomes after radiotherapy such as local control and treatment-related toxicity using features extracted from pretreatment and on-treatment images. Based on these individualized predictions of treatment outcomes, radiotherapy dose can be sculpted to meet the specific needs and preferences of each patient. Radiomics can aid in tumor characterization for personalized targeting, especially for identifying high-risk regions within a tumor that cannot be easily discerned based on size or intensity alone. Radiomics-based treatment response prediction can aid in developing personalized fractionation and dose adjustments. In order to make radiomics models more applicable across different institutions with varying scanners and patient populations, further efforts are needed to harmonize and standardize the acquisition protocols by minimizing uncertainties within the imaging data.</div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":"33 3","pages":"Pages 252-261"},"PeriodicalIF":3.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9691596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Radiotherapy Dose in Patients Receiving Immunotherapy 免疫治疗患者的放疗剂量

IF 3.5 3区医学

Seminars in Radiation Oncology Pub Date : 2023-07-01 DOI: 10.1016/j.semradonc.2023.03.012

Kelly J. Fitzgerald, Jonathan D. Schoenfeld

{"title":"Radiotherapy Dose in Patients Receiving Immunotherapy","authors":"Kelly J. Fitzgerald, Jonathan D. Schoenfeld","doi":"10.1016/j.semradonc.2023.03.012","DOIUrl":"10.1016/j.semradonc.2023.03.012","url":null,"abstract":"<div>There is significant rationale for combining radiation therapy (RT) and immuno-oncology (IO) agents, but the optimal radiation parameters are unknown. This review summarizes key trials in the RT and IO space with a focus on RT dose. Very low RT doses solely modulate the tumor immune microenvironment, intermediate doses both modulate the tumor immune microenvironment and kill some fraction of tumor cells, and ablative doses eliminate the majority of target tumor cells and also possess immunomodulatory effects. Ablative RT doses may have high toxicity if targets are adjacent to radiosensitive normal organs. The majority of completed trials have been conducted in the setting of metastatic disease and direct RT to a single lesion with the goal of generating systemic antitumor immunity termed the abscopal effect. Unfortunately, reliable generation of an abscopal effect has proved elusive over a range of radiation doses. Newer trials are exploring the effects of delivering RT to all or most sites of metastatic disease, with dose personalization based on the number and location of lesions. Additional directions include testing RT and IO in earlier stages of disease, sometimes in further combination with chemotherapy and surgery, where lower doses of RT may still contribute substantially to pathologic responses.</div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":"33 3","pages":"Pages 327-335"},"PeriodicalIF":3.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10067017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emerging Roles of Circulating Tumor DNA for Increased Precision and Personalization in Radiation Oncology 循环肿瘤DNA在提高放射肿瘤学精确性和个性化中的新作用

IF 3.5 3区医学

Seminars in Radiation Oncology Pub Date : 2023-07-01 DOI: 10.1016/j.semradonc.2023.03.004

Noah Earland , Kevin Chen MD , Nicholas P. Semenkovich MD, PhD , Pradeep S. Chauhan PhD , Jose P. Zevallos MD , Aadel A. Chaudhuri MD, PhD

{"title":"Emerging Roles of Circulating Tumor DNA for Increased Precision and Personalization in Radiation Oncology","authors":"Noah Earland , Kevin Chen MD , Nicholas P. Semenkovich MD, PhD , Pradeep S. Chauhan PhD , Jose P. Zevallos MD , Aadel A. Chaudhuri MD, PhD","doi":"10.1016/j.semradonc.2023.03.004","DOIUrl":"10.1016/j.semradonc.2023.03.004","url":null,"abstract":"<div>Recent breakthroughs in circulating tumor DNA (ctDNA) technologies present a compelling opportunity to combine this emerging liquid biopsy approach with the field of radiogenomics, the study of how tumor genomics correlate with radiotherapy response and radiotoxicity. Canonically, ctDNA levels reflect metastatic tumor burden, although newer ultrasensitive technologies can be used after curative-intent radiotherapy of localized disease to assess ctDNA for minimal residual disease (MRD) detection or for post-treatment surveillance. Furthermore, several studies have demonstrated the potential utility of ctDNA analysis across various cancer types managed with radiotherapy or chemoradiotherapy, including sarcoma and cancers of the head and neck, lung, colon, rectum, bladder, and prostate . Additionally, because peripheral blood mononuclear cells are routinely collected alongside ctDNA to filter out mutations associated with clonal hematopoiesis, these cells are also available for single nucleotide polymorphism analysis and could potentially be used to detect patients at high risk for radiotoxicity. Lastly, future ctDNA assays will be utilized to better assess locoregional MRD in order to more precisely guide adjuvant radiotherapy after surgery in cases of localized disease, and guide ablative radiotherapy in cases of oligometastatic disease.</div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":"33 3","pages":"Pages 262-278"},"PeriodicalIF":3.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10067012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Lessons and Opportunities for Biomarker-Driven Radiation Personalization in Head and Neck Cancer 生物标志物驱动的头颈癌放射个体化治疗的经验和机遇

IF 3.5 3区医学

Seminars in Radiation Oncology Pub Date : 2023-07-01 DOI: 10.1016/j.semradonc.2023.03.013

Elham Rahimy, Michael F. Gensheimer, Beth Beadle, Quynh-Thu Le

{"title":"Lessons and Opportunities for Biomarker-Driven Radiation Personalization in Head and Neck Cancer","authors":"Elham Rahimy, Michael F. Gensheimer, Beth Beadle, Quynh-Thu Le","doi":"10.1016/j.semradonc.2023.03.013","DOIUrl":"10.1016/j.semradonc.2023.03.013","url":null,"abstract":"<div>Head and neck cancer is notoriously challenging to treat in part because it constitutes an anatomically and biologically diverse group of cancers with heterogeneous prognoses. While treatment can be associated with significant late toxicities, recurrence is often difficult to salvage with poor survival rates and functional morbidity.1,2 Thus, achieving tumor control and cure at the initial diagnosis is the highest priority. Given the differing outcome expectations (even within a specific sub-site like oropharyngeal carcinoma), there has been growing interest in personalizing treatment: de-escalation in selected cancers to decrease the risk of late toxicity without compromising oncologic outcomes, and intensification for more aggressive cancers to improve oncologic outcomes without causing undue toxicity. This risk stratification is increasingly accomplished using biomarkers, which can represent molecular, clinicopathologic, and/or radiologic data. In this review, we will focus on biomarker-driven radiotherapy dose personalization with emphasis on oropharyngeal and nasopharyngeal carcinoma. This radiation personalization is largely performed on the population level by identifying patients with good prognosis via traditional clinicopathologic factors, although there are emerging studies supporting inter-tumor and intra-tumor level personalization via imaging and molecular biomarkers.</div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":"33 3","pages":"Pages 336-347"},"PeriodicalIF":3.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10067016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Histology Specific Molecular Biomarkers: Ushering in a New Era of Precision Radiation Oncology 组织学特异性分子生物标志物:引领精准放射肿瘤学的新时代

IF 3.5 3区医学

Seminars in Radiation Oncology Pub Date : 2023-07-01 DOI: 10.1016/j.semradonc.2023.03.001

Philip Sutera MD , Heath Skinner MD, PhD , Matthew Witek MD , Mark Mishra MD , Young Kwok MD , Elai Davicioni PhD , Felix Feng MD , Daniel Song MD , Elizabeth Nichols MD , Phuoc T. Tran MD, PhD , Carmen Bergom MD, PhD

{"title":"Histology Specific Molecular Biomarkers: Ushering in a New Era of Precision Radiation Oncology","authors":"Philip Sutera MD , Heath Skinner MD, PhD , Matthew Witek MD , Mark Mishra MD , Young Kwok MD , Elai Davicioni PhD , Felix Feng MD , Daniel Song MD , Elizabeth Nichols MD , Phuoc T. Tran MD, PhD , Carmen Bergom MD, PhD","doi":"10.1016/j.semradonc.2023.03.001","DOIUrl":"10.1016/j.semradonc.2023.03.001","url":null,"abstract":"<div>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.</div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":"33 3","pages":"Pages 232-242"},"PeriodicalIF":3.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446901/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10055151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards Data Driven RT Prescription: Integrating Genomics into RT Clinical Practice 迈向数据驱动的RT处方:整合基因组学到RT临床实践

IF 3.5 3区医学

Seminars in Radiation Oncology Pub Date : 2023-07-01 DOI: 10.1016/j.semradonc.2023.03.007

Javier F. Torres-Roca , G. Daniel Grass , Jacob G. Scott , Steven A. Eschrich

{"title":"Towards Data Driven RT Prescription: Integrating Genomics into RT Clinical Practice","authors":"Javier F. Torres-Roca , G. Daniel Grass , Jacob G. Scott , Steven A. Eschrich","doi":"10.1016/j.semradonc.2023.03.007","DOIUrl":"10.1016/j.semradonc.2023.03.007","url":null,"abstract":"<div>The genomic era has significantly changed the practice of clinical oncology. The use of genomic-based molecular diagnostics including prognostic genomic signatures and new-generation sequencing has become routine for clinical decisions regarding cytotoxic chemotherapy, targeted agents and immunotherapy. In contrast, clinical decisions regarding radiation therapy (RT) remain uninformed about the genomic heterogeneity of tumors. In this review, we discuss the clinical opportunity to utilize genomics to optimize RT dose. Although from the technical perspective, RT has been moving towards a data-driven approach, RT prescription dose is still based on a one-size-fits all approach, with most RT dose based on cancer diagnosis and stage. This approach is in direct conflict with the realization that tumors are biologically heterogeneous, and that cancer is not a single disease. Here, we discuss how genomics can be integrated into RT prescription dose, the clinical potential for this approach and how genomic-optimization of RT dose could lead to new understanding of the clinical benefit of RT.</div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":"33 3","pages":"Pages 221-231"},"PeriodicalIF":3.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10067014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Radiation Sensitivity: The Rise of Predictive Patient-Derived Cancer Models 辐射敏感性:预测患者衍生癌症模型的兴起

IF 3.5 3区医学

Seminars in Radiation Oncology Pub Date : 2023-07-01 DOI: 10.1016/j.semradonc.2023.03.005

Liliana L Berube BS , Kwang-ok P Nickel PhD , Mari Iida PhD , Sravani Ramisetty PhD , Prakash Kulkarni PhD , Ravi Salgia MD, PhD , Deric L Wheeler PhD , Randall J Kimple MD, PhD, MBA

{"title":"Radiation Sensitivity: The Rise of Predictive Patient-Derived Cancer Models","authors":"Liliana L Berube BS , Kwang-ok P Nickel PhD , Mari Iida PhD , Sravani Ramisetty PhD , Prakash Kulkarni PhD , Ravi Salgia MD, PhD , Deric L Wheeler PhD , Randall J Kimple MD, PhD, MBA","doi":"10.1016/j.semradonc.2023.03.005","DOIUrl":"10.1016/j.semradonc.2023.03.005","url":null,"abstract":"<div>Patient-derived cancer models have been used for decades to improve our understanding of cancer and test anticancer treatments. Advances in radiation delivery have made these models more attractive for studying radiation sensitizers and understanding an individual patient's radiation sensitivity. Advances in the use of patient-derived cancer models lead to a more clinically relevant outcome, although many questions remain regarding the optimal use of patient-derived xenografts and patient-derived spheroid cultures. The use of patient-derived cancer models as personalized predictive avatars through mouse and zebrafish models is discussed, and the advantages and disadvantages of patient-derived spheroids are reviewed. In addition, the use of large repositories of patient-derived models to develop predictive algorithms to guide treatment selection is discussed. Finally, we review methods for establishing patient-derived models and identify key factors that influence their use as both avatars and models of cancer biology.</div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":"33 3","pages":"Pages 279-286"},"PeriodicalIF":3.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287034/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9707582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

[18F]FDG-PET-Based Personalized Radiotherapy Dose Prescription [18]基于fdg - pet的个体化放疗剂量处方

IF 3.5 3区医学

Seminars in Radiation Oncology Pub Date : 2023-07-01 DOI: 10.1016/j.semradonc.2023.03.006

Johannes H.A.M. Kaanders PhD , Johan Bussink PhD , Erik H.J.G. Aarntzen PhD , Pètra Braam PhD , Heidi Rütten MD , Richard W.M. van der Maazen PhD , Marcel Verheij PhD , Sven van den Bosch PhD

引用次数: 0