PO.BCS01.05 · 生物信息与计算

一例来自非洲血统患者的原发性神经内分泌前列腺癌在患者来源异种移植(PDX)和类器官模型中的分子遗传学分析

Molecular genetic profiling of a de novo neuroendocrine prostate cancer in a patient-derived xenograft (PDX) and organoid model from an African ancestry patient

编号 5461 展板 28 时间 4/21 02:00–05:00 区域 Section 1 主讲 Tej Sharma, MS;PhD
分会场 Application of Bioinformatics to Cancer Biology 5
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作者与单位 Authors & Affiliations

Tej Sharma, Surendra Gulla, Sasikumar Ponnusamy, Abbas Jawadwala, Ephraim Gardner, Roberto Pili, Maddie Aust, John Bodkin, John Tomaszewski, Remi-adelaya Ogala

Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY

摘要 Abstract

中文摘要
患者来源异种移植(PDX)和类器官(PDO)模型是研究前列腺癌(PCa)如何发生以及如何对治疗产生应答的强大工具,尤其适用于常被忽视的人群。在本研究中,我们报告了首例来自非裔美国男性的原发性神经内分泌前列腺癌(NEPC)病例,该患者在手术前患有局限性疾病且未接受任何既往治疗。肿瘤被分类为pT2N0、Gleason评分7(4+3),PSA水平为3.6。患者的部分肿瘤组织用于生成PDX和PDO模型,另一部分用于下游分子分析。为识别驱动侵袭性肿瘤行为的遗传改变,我们使用Illumina Exome Kit和Twist Biosciences Exome Panel 2.0,对原发肿瘤及所生成的相关PDX模型的第一代(p0)的DNA进行了全外显子组测序。使用Nextflow流程(nf-core/sarek)进行生物信息学分析,以检测体细胞单核苷酸变异(SNV)、突变、结构变异和拷贝数变异(使用CNVkit)。我们的结果揭示了与PCa进展相关的遗传改变的变异注释联系。蛋白质印迹分析和免疫组化(IHC)显示神经内分泌标志物SYP表达增加。此外,我们观察到既往在NEPC中报道的基因中存在类似的突变和拷贝数变化。而且,新型标志物为前列腺癌的分子驱动因素提供了更深入的洞见,并可指导针对侵袭性、高危局限性PCa的靶向治疗的开发。
查看英文原文 English abstract
Patient-derived xenograft (PDX) and organoid (PDO) models are powerful tools to study how prostate cancer (PCa) develops and responds to treatment, especially in populations that are often underrepresented. In this study, we report the first de novo neuroendocrine prostate cancer (NEPC) case from an African American male who had localized disease with no prior treatment before surgery. The tumor was classified as pT2N0, Gleason score 7 (4+3), and had a PSA level of 3.6. A portion of the patient's tumor tissue was used to generate PDX and PDO models, and another portion was used for downstream molecular analyses. To identify genetic changes driving aggressive tumor behavior, we performed whole-exome sequencing on DNA from the primary tumor and the first passage of the associated PDX model generated (p0) using the Illumina Exome Kit and the Twist Biosciences Exome Panel 2.0. Bioinformatic analysis was performed using Nextflow pipelines (nf-core/sarek) to detect somatic single-nucleotide variants (SNVs), mutations, structural variants, and copy number variations (using CNVkit). Our results reveal variant annotation links of genetic changes associated with PCa progression. Western blot analysis and immunohistochemistry (IHC) demonstrated increased expression of neuroendocrine markers, SYP. Furthermore, we observed similar mutations and copy number changes in genes previously reported in NEPCs. Moreover, novel markers provide deeper insight into molecular drivers of prostate cancer and could guide the development of targeted treatments for aggressive, high-risk localized PCa.
利益披露 Disclosure
T. Sharma, None.. S. Gulla, None.. S. Ponnusamy, None.. A. Jawadwala, None.. E. Gardner, None.. R. Pili, None.. M. Aust, None.. J. Bodkin, None.. J. Tomaszewski, None.. R. Ogala, None.

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