长期患者来源的卵巢癌类器官密切概括肿瘤的起源和临床反应。

IF 12.8 1区 医学 Q1 ONCOLOGY
Lucie Thorel, Enora Dolivet, Pierre-Marie Morice, Romane Florent, Jordane Divoux, Marion Perréard, Lucie Lecouflet, Guillaume Desmartin, Chloé Marde Alagama, Florence Giffard, Alexandra Leconte, Justine Lequesne, Bénédicte Clarisse, Mélanie Briand, Alimatou Traoré, Céline Villenet, Jean-Pascal Meneboo, Guillaume Babin, Léopold Gaichies, Sandrine Martin-Françoise, Jean-François Le Brun, Roman Rouzier, Emilie Brotin, Christophe Denoyelle, Nicolas Vigneron, Raphaël Leman, Dominique Vaur, Laurent Castera, Cécile Blanc-Fournier, Nicolas Elie, Benoit Plancoulaine, Florence Joly, Matthieu Meryet-Figuière, Martin Figeac, Louis-Bastien Weiswald, Laurent Poulain
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引用次数: 0

摘要

背景:卵巢癌是世界范围内妇科癌症死亡的第二大原因,由于晚期诊断和化疗耐药性的发展。然而,这些癌症中有一半在同源重组(HR)中表现出改变,使它们对参与DNA修复的PARP蛋白(PARPi)抑制剂敏感。然而,确定对化疗有反应的患者并选择符合PARPi条件的患者对临床医生来说仍然是一个挑战。在这种情况下,使用患者源性肿瘤类器官(PDTO)进行预测性功能测试代表了临床决策的有趣前景。方法:我们建立了来自31例卵巢癌患者的37个不同组织学亚型的长期PDTO模型。使用免疫组织化学分析和全局方法(拷贝数变异和转录组学分析)将PDTO的组织学和分子特征与肿瘤样本进行比较。PDTO模型暴露于卵巢癌患者的标准药物,包括PARPi,并使用生存能力测定法评估反应。为了进一步确定PDTO的HR状态,我们进行了功能分析,评估PDTO启动HR的能力(RECAP测试),使用RAD51灶的自动组织成像定量分析,以及基于HR相关基因测序的NGS分析,以获得基因组不稳定性评分(GIS)。结果:我们发现PDTO模拟配对肿瘤的组织学和肿瘤标志物的表达。此外,非负矩阵分解方法显示PDTO再现了来自其原始样本的癌症成分的转录组学特征。化疗药物的筛选表明,PDTO表现出异质性反应,高级别浆液性卵巢癌对卡铂的PDTO反应再现了患者对一线治疗的反应。此外,使用功能分析检测PDTO的HRD表型与HRD测试基因组不稳定性疤痕(GIScar)的结果相关。结论:虽然PDTO的预测潜力还需要更大规模的研究来证实,但这些结果进一步证明了卵巢PDTO在功能精准医学中的潜在价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-term patient-derived ovarian cancer organoids closely recapitulate tumor of origin and clinical response.

Background: Ovarian cancers are the second cause of death from gynecological cancers worldwide, due to a late diagnosis combined with the development of resistance to chemotherapy. However, half of these cancers present alterations in Homologous Recombination (HR), making them sensitive to inhibitors of the PARP protein (PARPi), involved in DNA repair. Nevertheless, identifying patients who respond to chemotherapy and selecting those eligible for PARPi remains a challenge for clinicians. In this context, the use of Patient-Derived Tumor Organoids (PDTO) for predictive functional testing represents an interesting prospect for clinical decision making.

Methods: Here we established a panel of 37 long-term PDTO models of various histological subtypes from 31 ovarian cancer patients. Histological and molecular profiles of PDTO were compared to tumor sample of origin using immunohistochemical analyses and global approaches (copy number variation and transcriptomic profiling). PDTO models were exposed to standard drugs for ovarian cancer patients, including PARPi, and response was assessed using viability assay. To further define the HR status of PDTO, we performed a functional assay evaluating the ability of PDTO to initiate HR (RECAP test) using automated histo-imaging quantitative analysis of RAD51 foci, as well as an NGS analysis based on the sequencing of an HR-related genes panel to obtain a Genome Instability Score (GIS).

Results: We demonstrated that PDTO mimicked histological and expression of tumor markers of paired tumors. Moreover, non-negative matrix factorization approach revealed that PDTO recapitulated the transcriptomic profile of the cancer component from their sample of origin. Screening of chemotherapeutic drugs showed that PDTO exhibit heterogeneous responses, and that response of PDTO from high-grade serous ovarian carcinoma to carboplatin recapitulated patient response to first-line treatment. Additionally, the detection of HRD phenotype of PDTO using functional assay was associated with the results of the HRD test Genomic Instability Scar (GIScar).

Conclusion: Although larger-scale investigations are needed to confirm the predictive potential of PDTO, these results provide further evidence of the potential interest of ovarian PDTO for functional precision medicine.

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来源期刊
CiteScore
18.20
自引率
1.80%
发文量
333
审稿时长
1 months
期刊介绍: The Journal of Experimental & Clinical Cancer Research is an esteemed peer-reviewed publication that focuses on cancer research, encompassing everything from fundamental discoveries to practical applications. We welcome submissions that showcase groundbreaking advancements in the field of cancer research, especially those that bridge the gap between laboratory findings and clinical implementation. Our goal is to foster a deeper understanding of cancer, improve prevention and detection strategies, facilitate accurate diagnosis, and enhance treatment options. We are particularly interested in manuscripts that shed light on the mechanisms behind the development and progression of cancer, including metastasis. Additionally, we encourage submissions that explore molecular alterations or biomarkers that can help predict the efficacy of different treatments or identify drug resistance. Translational research related to targeted therapies, personalized medicine, tumor immunotherapy, and innovative approaches applicable to clinical investigations are also of great interest to us. We provide a platform for the dissemination of large-scale molecular characterizations of human tumors and encourage researchers to share their insights, discoveries, and methodologies with the wider scientific community. By publishing high-quality research articles, reviews, and commentaries, the Journal of Experimental & Clinical Cancer Research strives to contribute to the continuous improvement of cancer care and make a meaningful impact on patients' lives.
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