Susan K. Parsons , Angie Mae Rodday , Jenica N. Upshaw , Carlton D. Scharman , Zhu Cui , Yenong Cao , Yun Kyoung Ryu Tiger , Matthew J. Maurer , Andrew M. Evens
{"title":"利用多源数据为霍奇金淋巴瘤患者提供个性化治疗","authors":"Susan K. Parsons , Angie Mae Rodday , Jenica N. Upshaw , Carlton D. Scharman , Zhu Cui , Yenong Cao , Yun Kyoung Ryu Tiger , Matthew J. Maurer , Andrew M. Evens","doi":"10.1016/j.blre.2024.101170","DOIUrl":null,"url":null,"abstract":"<div><p><span>Hodgkin lymphoma is a rare, but highly curative form of cancer, primarily afflicting adolescents and young adults. Despite multiple seminal trials over the past twenty years, there is no single consensus-based </span>treatment approach beyond use of multi-agency chemotherapy with curative intent. The use of radiation continues to be debated in early-stage disease, as part of combined modality treatment, as well as in salvage, as an important form of consolidation. While short-term disease outcomes have varied little across these different approaches across both early and advanced stage disease, the potential risk of severe, longer-term risk has varied considerably.</p><p>Over the past decade novel therapeutics have been employed in the retrieval setting in preparation to and as consolidation after autologous stem cell transplant. More recently, these novel therapeutics have moved to the frontline setting, initially compared to standard-of-care treatment and later in a direct head-to-head comparison combined with multi-agent chemotherapy.</p><p><span>In 2018, we established the HoLISTIC Consortium, bringing together disease and methods experts to develop clinical decision models based on individual patient data to guide providers, patients, and caregivers in decision-making. In this review, we detail the steps we followed to create the master database of individual patient data from patients treated over the past 20 years, using principles of data science. We then describe different methodological approaches we are taking to clinical decision making, beginning with clinical prediction tools at the time of diagnosis, to multi-state models, incorporating treatments and their response. Finally, we describe how simulation modeling can be used to </span><em>estimate</em> risks of late effects, based on cumulative exposure from frontline and salvage treatment.</p><p>The resultant database and tools employed are <em>dynamic</em> with the expectation that they will be updated as better and more complete information becomes available.</p></div>","PeriodicalId":56139,"journal":{"name":"Blood Reviews","volume":null,"pages":null},"PeriodicalIF":6.9000,"publicationDate":"2024-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Harnessing multi-source data for individualized care in Hodgkin Lymphoma\",\"authors\":\"Susan K. Parsons , Angie Mae Rodday , Jenica N. Upshaw , Carlton D. Scharman , Zhu Cui , Yenong Cao , Yun Kyoung Ryu Tiger , Matthew J. Maurer , Andrew M. Evens\",\"doi\":\"10.1016/j.blre.2024.101170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span>Hodgkin lymphoma is a rare, but highly curative form of cancer, primarily afflicting adolescents and young adults. Despite multiple seminal trials over the past twenty years, there is no single consensus-based </span>treatment approach beyond use of multi-agency chemotherapy with curative intent. The use of radiation continues to be debated in early-stage disease, as part of combined modality treatment, as well as in salvage, as an important form of consolidation. While short-term disease outcomes have varied little across these different approaches across both early and advanced stage disease, the potential risk of severe, longer-term risk has varied considerably.</p><p>Over the past decade novel therapeutics have been employed in the retrieval setting in preparation to and as consolidation after autologous stem cell transplant. More recently, these novel therapeutics have moved to the frontline setting, initially compared to standard-of-care treatment and later in a direct head-to-head comparison combined with multi-agent chemotherapy.</p><p><span>In 2018, we established the HoLISTIC Consortium, bringing together disease and methods experts to develop clinical decision models based on individual patient data to guide providers, patients, and caregivers in decision-making. In this review, we detail the steps we followed to create the master database of individual patient data from patients treated over the past 20 years, using principles of data science. We then describe different methodological approaches we are taking to clinical decision making, beginning with clinical prediction tools at the time of diagnosis, to multi-state models, incorporating treatments and their response. Finally, we describe how simulation modeling can be used to </span><em>estimate</em> risks of late effects, based on cumulative exposure from frontline and salvage treatment.</p><p>The resultant database and tools employed are <em>dynamic</em> with the expectation that they will be updated as better and more complete information becomes available.</p></div>\",\"PeriodicalId\":56139,\"journal\":{\"name\":\"Blood Reviews\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2024-01-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Blood Reviews\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0268960X24000031\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blood Reviews","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0268960X24000031","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
Harnessing multi-source data for individualized care in Hodgkin Lymphoma
Hodgkin lymphoma is a rare, but highly curative form of cancer, primarily afflicting adolescents and young adults. Despite multiple seminal trials over the past twenty years, there is no single consensus-based treatment approach beyond use of multi-agency chemotherapy with curative intent. The use of radiation continues to be debated in early-stage disease, as part of combined modality treatment, as well as in salvage, as an important form of consolidation. While short-term disease outcomes have varied little across these different approaches across both early and advanced stage disease, the potential risk of severe, longer-term risk has varied considerably.
Over the past decade novel therapeutics have been employed in the retrieval setting in preparation to and as consolidation after autologous stem cell transplant. More recently, these novel therapeutics have moved to the frontline setting, initially compared to standard-of-care treatment and later in a direct head-to-head comparison combined with multi-agent chemotherapy.
In 2018, we established the HoLISTIC Consortium, bringing together disease and methods experts to develop clinical decision models based on individual patient data to guide providers, patients, and caregivers in decision-making. In this review, we detail the steps we followed to create the master database of individual patient data from patients treated over the past 20 years, using principles of data science. We then describe different methodological approaches we are taking to clinical decision making, beginning with clinical prediction tools at the time of diagnosis, to multi-state models, incorporating treatments and their response. Finally, we describe how simulation modeling can be used to estimate risks of late effects, based on cumulative exposure from frontline and salvage treatment.
The resultant database and tools employed are dynamic with the expectation that they will be updated as better and more complete information becomes available.
期刊介绍:
Blood Reviews, a highly regarded international journal, serves as a vital information hub, offering comprehensive evaluations of clinical practices and research insights from esteemed experts. Specially commissioned, peer-reviewed articles authored by leading researchers and practitioners ensure extensive global coverage across all sub-specialties of hematology.