A living biobank of patient-derived ductal carcinoma in situ mouse-intraductal xenografts identifies risk factors for invasive progression.
A living biobank of patient-derived ductal carcinoma in situ mouse-intraductal xenografts identifies risk factors for invasive progression.
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DOI：
10.1016/j.ccell.2023.04.002
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发表时间：
2023-05-08
期刊：
影响因子：
50.3
通讯作者：
Jonkers, Jos
中科院分区：
文献类型：
--
作者：
Hutten, Stefan J.;de Bruijn, Roebi;Lutz, Catrin;Badoux, Madelon;Eijkman, Timo;Chao, Xue;Ciwinska, Marta;Sheinman, Michael;Messal, Hendrik;Herencia-Ropero, Andrea;Kristel, Petra;Mulder, Lennart;van der Waal, Rens;Sanders, Joyce;Almekinders, Mathilde M.;Llop-Guevara, Alba;Davies, Helen R.;van Haren, Matthijs J.;Martin, Nathaniel I.;Behbod, Fariba;Nik-Zainal, Serena;Serra, Violeta;van Rheenen, Jacco;Lips, Esther H.;Wessels, Lodewyk F. A.;Grand Challenge PRECISION Consortium, Jelle;Wesseling, Jelle;Scheele, Colinda L. G. J.;Jonkers, Jos
导管原位癌 (DCIS) 是浸润性乳腺癌 (IBC) 的非必然前兆。由于缺乏能够区分高风险和低风险病例的生物标志物，DCIS 的治疗方式与早期 IBC 类似，尽管少数未经治疗的病例最终会变成侵袭性病例。在这里，我们对 115 个源自患者的小鼠导管内 (MIND) DCIS 模型进行了表征，反映了在患者中观察到的全方位 DCIS。利用跟踪 DCIS 自然进展的可能性，结合组学和影像数据，我们揭示了高风险 DCIS 的多种预后因素，包括高级别、HER2 扩增、广泛的 3D 生长和高拷贝数畸变负担。此外，随着时间的推移，异种移植物的顺序移植显示出最小的表型和基因型变化，表明侵袭行为是 DCIS 的内在表型并支持多克隆进化模型。此外，这项研究提供了涵盖所有分子亚型的 19 个可分发的 DCIS-MIND 模型的集合。开发保留主要特征的 DCIS-MIND 模型生物库 识别与 DCIS 侵袭性进展相关的多种因素 识别与结果相关的两种不同的 3D 生长模式 开发 19 个可分发的 DCIS 模型的集合 Hutten 等人。生成 115 个 DCIS-MIND 模型，并使用基因组、转录组和成像数据来表征它们。通过这个生物库，他们确定了与原位导管癌进展为浸润性乳腺癌相关的风险因素，并创建了 19 个可分配的 DCIS 模型集合，为进一步研究提供了资源。
Ductal carcinoma in situ (DCIS) is a non-obligate precursor of invasive breast cancer (IBC). Due to a lack of biomarkers able to distinguish high- from low-risk cases, DCIS is treated similar to early IBC even though the minority of untreated cases eventually become invasive. Here, we characterized 115 patient-derived mouse-intraductal (MIND) DCIS models reflecting the full spectrum of DCIS observed in patients. Utilizing the possibility to follow the natural progression of DCIS combined with omics and imaging data, we reveal multiple prognostic factors for high-risk DCIS including high grade, HER2 amplification, expansive 3D growth, and high burden of copy number aberrations. In addition, sequential transplantation of xenografts showed minimal phenotypic and genotypic changes over time, indicating that invasive behavior is an intrinsic phenotype of DCIS and supporting a multiclonal evolution model. Moreover, this study provides a collection of 19 distributable DCIS-MIND models spanning all molecular subtypes. Development of a biobank of DCIS-MIND models retaining primary features Identification of multiple factors associated with invasive progression of DCIS Identification of two distinct 3D growth patterns associated with outcome Development of a collection of 19 distributable DCIS models Hutten et al. generate 115 DCIS-MIND models and characterize them with genomic, transcriptomic, and imaging data. With this biobank they identify risk factors associated with progression of ductal carcinoma in situ to invasive breast cancer and create a collection of 19 distributable DCIS models, providing a resource for further research.
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影响因子：
3.8
作者：
Borgquist S;Zhou W;Jirström K;Amini RM;Sollie T;Sørlie T;Blomqvist C;Butt S;Wärnberg F
通讯作者：
Wärnberg F
影响因子：
8.8
作者：
Forozan, F;Veldman, R;Ammerman, CA;Parsa, NZ;Kallioniemi, A;Kallioniemi, OP;Ethier, SP
通讯作者：
Ethier, SP
影响因子：
5.9
作者：
Ito, Koichi;Park, Sun Hee;Irie, Hanna Y.
通讯作者：
Irie, Hanna Y.
影响因子：
82.9
作者：
Davies H;Glodzik D;Morganella S;Yates LR;Staaf J;Zou X;Ramakrishna M;Martin S;Boyault S;Sieuwerts AM;Simpson PT;King TA;Raine K;Eyfjord JE;Kong G;Borg Å;Birney E;Stunnenberg HG;van de Vijver MJ;Børresen-Dale AL;Martens JW;Span PN;Lakhani SR;Vincent-Salomon A;Sotiriou C;Tutt A;Thompson AM;Van Laere S;Richardson AL;Viari A;Campbell PJ;Stratton MR;Nik-Zainal S
通讯作者：
Nik-Zainal S
DOI：
10.1186/bcr2358
发表时间：
2009
期刊：
Breast cancer research : BCR
影响因子：
--
作者：
Behbod F;Kittrell FS;LaMarca H;Edwards D;Kerbawy S;Heestand JC;Young E;Mukhopadhyay P;Yeh HW;Allred DC;Hu M;Polyak K;Rosen JM;Medina D
通讯作者：
Medina D