Kinome-Focused CRISPR-Cas9 Screens in African Ancestry Patient-Derived Breast Cancer Organoids Identify Essential Kinases and Synergy of EGFR and FGFR1 Inhibition

IF 16.6 1区 医学 Q1 ONCOLOGY Cancer research Pub Date : 2025-02-01 DOI:10.1158/0008-5472.can-24-0775
Florencia P. Madorsky Rowdo, Rachel Martini, Sarah E. Ackermann, Colin P. Tang, Marvel Tranquille, Adriana Irizarry, Ilkay Us, Omar Alawa, Jenna E. Moyer, Michael Sigouros, John Nguyen, Majd Al Assaad, Esther Cheng, Paula S. Ginter, Jyothi Manohar, Brian Stonaker, Richard Boateng, Joseph K. Oppong, Ernest K. Adjei, Baffour Awuah, Ishmael Kyei, Francis S. Aitpillah, Michael O. Adinku, Kwasi Ankomah, Ernest B. Osei-Bonsu, Kofi K. Gyan, Syed Hoda, Lisa Newman, Juan Miguel Mosquera, Andrea Sboner, Olivier Elemento, Lukas E. Dow, Melissa B. Davis, M. Laura Martin
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Abstract

Precision medicine approaches to cancer treatment aim to exploit genomic alterations that are specific to individual patients to tailor therapeutic strategies. Yet, some targetable genes and pathways are essential for tumor cell viability even in the absence of direct genomic alterations. In underrepresented populations, the mutational landscape and determinants of response to existing therapies are poorly characterized because of limited inclusion in clinical trials and studies. One way to reveal tumor essential genes is with genetic screens. Most screens are conducted on cell lines that bear little resemblance to patient tumors, after years of culture under nonphysiologic conditions. To address this problem, we aimed to develop a CRISPR screening pipeline in three-dimensionally grown patient-derived tumor organoid (PDTO) models. A breast cancer PDTO biobank that focused on underrepresented populations, including West African patients, was established and used to conduct a negative-selection kinome-focused CRISPR screen to identify kinases essential for organoid growth and potential targets for combination therapy with EGFR or MEK inhibitors. The screen identified several previously unidentified kinase targets, and the combination of FGFR1 and EGFR inhibitors synergized to block organoid proliferation. Together, these data demonstrate the feasibility of CRISPR-based genetic screens in patient-derived tumor models, including PDTOs from underrepresented patients with cancer, and identify targets for cancer therapy. Significance: Generation of a breast cancer patient-derived tumor organoid biobank focused on underrepresented populations enabled kinome-focused CRISPR screening that identified essential kinases and potential targets for combination therapy with EGFR or MEK inhibitors. See related commentary by Trembath and Spanheimer, p. 407
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以kinome为中心的CRISPR-Cas9筛查非洲血统患者来源的乳腺癌类器官,鉴定必需激酶和EGFR和FGFR1抑制的协同作用
癌症治疗的精准医学方法旨在利用个体患者特异性的基因组改变来定制治疗策略。然而,即使没有直接的基因组改变,一些靶向基因和途径对肿瘤细胞的生存也是必不可少的。在代表性不足的人群中,由于临床试验和研究的限制,突变景观和对现有疗法反应的决定因素的特征很差。揭示肿瘤基本基因的一种方法是基因筛选。大多数筛选是在非生理性条件下培养多年后,对与患者肿瘤几乎没有相似之处的细胞系进行的。为了解决这个问题,我们的目标是在三维生长的患者源性肿瘤类器官(PDTO)模型中开发CRISPR筛选管道。建立了一个乳腺癌PDTO生物库,重点关注代表性不足的人群,包括西非患者,并用于进行负选择以激酶为重点的CRISPR筛选,以确定类器官生长所必需的激酶和与EGFR或MEK抑制剂联合治疗的潜在靶点。筛选发现了几个先前未识别的激酶靶点,FGFR1和EGFR抑制剂的组合协同阻止类器官增殖。总之,这些数据证明了基于crispr的基因筛选在患者源性肿瘤模型(包括来自代表性不足的癌症患者的pdto)中的可行性,并确定了癌症治疗的靶点。意义:针对代表性不足人群的乳腺癌患者来源的肿瘤类器官生物库的产生,使得以激酶为重点的CRISPR筛选能够确定与EGFR或MEK抑制剂联合治疗的必需激酶和潜在靶点。参见特伦巴斯和斯潘海默的相关评论,第407页
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来源期刊
Cancer research
Cancer research 医学-肿瘤学
CiteScore
16.10
自引率
0.90%
发文量
7677
审稿时长
2.5 months
期刊介绍: Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research. With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445. Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.
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