AbstractWe introduce a proof-of-concept extended reality (XR) environment for discussing cancer, presenting genomic information from multiple tumour sites in the context of 3D tumour models generated from CT scans. This tool enhances multidisciplinary discussions. Clinicians and cancer researchers explored its use in oncology, sharing perspectives on XR’s potential for use in molecular tumour boards, clinician-patient communication, and education.

摘要我们介绍了一种用于讨论癌症的概念验证扩展现实（XR）环境，在CT扫描产生的3D肿瘤模型的背景下呈现来自多个肿瘤部位的基因组信息。该工具增强了多学科讨论。临床医生和癌症研究人员探索了它在肿瘤学中的应用，分享了XR在分子肿瘤委员会，临床医生与患者沟通和教育中的潜力。

XR serves as a universal language, fostering collaborative decision-making in oncology..

XR作为一种通用语言，促进肿瘤学的合作决策。。

IntroductionGenomic data holds extraordinary promise for transforming our understanding of cancer, in the laboratory and the clinic. As the scientific community endeavours to resolve the multitude of remaining questions in cancer, we will rely on layers of information coming from diverse sources and must capitalise on the collective expertise of multidisciplinary teams working at the intersections of disciplines1.

引言基因组数据有望在实验室和临床上改变我们对癌症的理解。随着科学界努力解决癌症遗留的众多问题，我们将依靠来自不同来源的信息层，并且必须利用在学科交叉点工作的多学科团队的集体专业知识1。

In the clinic, interpreting genomic data in its spatial and temporal context is essential for making treatment decisions for cancer patients2,3. Interpreting genomic data with respect to time and space is critical for a deeper understanding of tumour evolution during metastatic dissemination, with the majority of cancer deaths caused by metastases4.

在临床上，在时空背景下解释基因组数据对于癌症患者的治疗决策至关重要2,3。解释基因组数据的时间和空间对于更深入地了解转移性传播过程中的肿瘤演变至关重要，大多数癌症死亡是由转移引起的4。

Yet, current tools are not equipped to integrate genomic, radiological and therapeutic information5, nor is the human brain effective at holding this information for discussing such complex cases6. Generating data on multiple tumours from an individual is becoming increasingly common in research and the clinic, to face the clinical realities of tumour heterogeneity7,8.

然而，目前的工具不具备整合基因组，放射学和治疗信息的能力5，人脑也不能有效地保存这些信息来讨论这种复杂的病例6。面对肿瘤异质性的临床现实，从个体产生多个肿瘤的数据在研究和临床中越来越普遍7,8。

Therefore, interpreting genomic data in light of other important system components9, and by multidisciplinary teams, becomes increasingly critical.A person who had a primary lung neuroendocrine tumour and ninety metastases disseminated through their body came to their oncologist requesting to donate their tumour tissues to research after death.

因此，根据其他重要的系统组件9和多学科团队来解释基因组数据变得越来越重要。一名患有原发性肺神经内分泌肿瘤并有90个转移灶通过身体传播的人来到肿瘤科医生那里，要求在死后捐赠肿瘤组织进行研究。

Accepting this invaluable donation set us on a journey, a high-resolution n = 1 study10, where we sought to distil new knowledge about tumour evolution that may be missed in studies of more patients with fewer samples. Research autopsies are emerging internationally as an unmatched resource for studying tumour.

接受这一宝贵的捐赠使我们踏上了一段旅程，这是一项高分辨率的n=1研究10，我们试图提炼关于肿瘤进化的新知识，这些知识可能会在更多样本较少的患者的研究中被遗漏。研究尸检在国际上正在成为研究肿瘤的无与伦比的资源。

Data availability

数据可用性

All data supporting the findings of this study are available within the paper and its Supplementary Information.

本文及其补充信息中提供了支持本研究结果的所有数据。

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Download referencesAcknowledgementsTJR was supported by the Auckland Medical Research Foundation, and the project was funded by the Translational Medicine Trust and the Health Research Council of New Zealand. The authors thank the University of Auckland Media Productions team for capturing and preparing video footage.

Download ReferencesAcknowlementsTJR得到了奥克兰医学研究基金会的支持，该项目由转化医学信托基金会和新西兰健康研究委员会资助。作者感谢奥克兰大学媒体制作团队拍摄和准备视频片段。

Above all, the authors thank the patient and their family for their generous donation to scientific research.Author informationAuthor notesThese authors contributed equally: Cristin G. Print, Michael Davis, Uwe Rieger, Ben Lawrence.Authors and AffiliationsMolecular Medicine and Pathology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New ZealandTamsin J.

最重要的是，作者感谢患者及其家人对科学研究的慷慨捐赠。作者信息作者注意到这些作者做出了同样的贡献：CristinG.Print，MichaelDavis，UweRieger，BenLawrence。作者和附属机构新西兰奥克兰奥克兰大学医学与健康科学学院分子医学与病理学Tamsin J。

Robb, Daniel Hurley, Cherie Blenkiron & Cristin G. PrintSchool of Architecture and Planning, University of Auckland, Auckland, New ZealandYinan Liu, Michael Davis & Uwe RiegerDepartment of Oncology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New ZealandBraden Woodhouse, Alice Minhinnick, Kate Parker & Ben LawrenceBusiness School, University of Auckland, Auckland, New ZealandCharlotta WindahlUniversity of Melbourne, Melbourne, VIC, AustraliaGrant McArthur, Stephen B.

Robb，Daniel Hurley，Cherie Blenkiron＆Cristin G.新西兰奥克兰大学建筑与规划学院Yinan Liu，Michael Davis＆Uwe Rieger新西兰奥克兰大学医学与健康科学学院肿瘤学系Braden Woodhouse，Alice Minhinnick，Kate Parker＆Ben LawrenceBusiness School，奥克兰大学，新西兰夏洛塔WindahlunUniversity of Melbourne，VIC，Australia McArthur，Stephen B。

Fox & Lisa BrownVictorian Comprehensive Cancer Centre Alliance, Melbourne, VIC, AustraliaGrant McArthurPeter MacCallum Cancer Centre, Melbourne, VIC, AustraliaGrant McArthur, Stephen B. Fox & Lisa BrownThe Royal Melbourne Hospital, Melbourne, VIC, AustraliaLisa BrownUniversity of Otago, Dunedin, New ZealandParry Guilford & Christopher JacksonAuckland City Hospital, Te Whatu Ora Te Toka Tumai, Auckland, New ZealandAlice Minhinnick, Laird Cameron, Sanjeev Deva & Ben LawrenceAuckland Cancer Society Research Centre, University of Auckland, Auckland, New ZealandCherie Blenkir.

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PubMed Google ScholarContributionsT.J.R., Y.L., B.W., C.W., D.H., K.P., K.H., R.M., B.H., N.Y., C.G.P., M.D., U.R. and B.L. designed the extended reality model. J.R., B.H. and N.Y. segmented the CT scans. T.J.R., D.H., C.B. and C.G.P. curated the genomic data. Y.L., D.H., R.M., B.H.

PubMed谷歌学术贡献者。J、 R.，Y.L.，B.W.，C.W.，D.H.，K.P.，K.H.，R.M.，B.H.，N.Y.，C.G.P.，M.D.，U.R.和B.L.设计了扩展现实模型。J、 R.，B.H.和N.Y.对CT扫描进行了分割。T、 J.R.，D.H.，C.B.和C.G.P.策划了基因组数据。Y、 L.，D.H.，R.M.，B.H。

and N.Y. coded the XR model. Y.L., T.J.R. and U.R. prepared the video and figure. G.H., S.B.F., L.B., P.G., A.M., C.J., V.B., L.C. and S.D. evaluated the model and provided expert advice guiding future development. C.G.P., M.D., U.R. and B.L. led and secured funding for the project. T.J.R. thematically analysed the evaluations and drafted the manuscript.

纽约州对XR模型进行了编码。Y、 L.，T.J.R.和U.R.准备了视频和图表。G.H.，S.B.F.，L.B.，P.G.，A.M.，C.J.，V.B.，L.C.和S.D.评估了该模型，并提供了指导未来发展的专家建议。C、 G.P.，M.D.，U.R.和B.L.领导并获得了该项目的资金。T、 J.R.对评估进行了主题分析并起草了手稿。

All authors reviewed the manuscript.Corresponding authorCorrespondence to.

所有作者都审阅了手稿。。

Ben Lawrence.Ethics declarations

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Reprints and permissionsAbout this articleCite this articleRobb, T.J., Liu, Y., Woodhouse, B. et al. Blending space and time to talk about cancer in extended reality.

转载和许可本文引用本文Robb，T.J.，Liu，Y.，Woodhouse，B。等人。混合空间和时间来讨论扩展现实中的癌症。

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