LBPO.BCS02 · 生物信息与计算 · Late-Breaking

追踪人类结肠从发育经衰老的克隆演化以理解结直肠癌的起始

Tracing clonal evolution of the human colon from development through aging to understand colorectal cancer initiation

编号 LB449 展板 17 时间 4/22 09:00–12:00 区域 Section 52 主讲 Jinsil Jeong, BS;MD
分会场 Late-Breaking Research: Bioinformatics, Computational Biology, Systems Biology, and Convergent Science 2
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作者与单位 Authors & Affiliations

Jinsil Jeong1, Jeong Mo Bae2, Seung-Yong Jeong3, Ji Won Park3, Hyun Jung Lee4, Min Jung Kim3, Young Seok Ju1

1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of,2Department of Pathology, Seoul National University Hospital, Seoul, Korea, Republic of,3Department of Surgery, Seoul National University College of Medicine, Seoul, Korea, Republic of,4Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea, Republic of

摘要 Abstract

中文摘要
尽管对结直肠癌进行了广泛研究,但从正常组织向癌前状态的转变——以及哪些癌前病变最终进展为癌症——仍知之甚少。这一空白很大程度上反映了对正常结肠和早期癌前阶段认识的不足。因此,理解结肠在发育、生长和衰老过程中如何变化,以及癌前病变如何偏离正常组织,对于阐明结直肠癌的起始至关重要。 从发育贯穿整个生命周期累积的体细胞突变可作为分子条形码,用于重建结肠细胞之间的谱系关系。在此,我们对来自14名供体的1,098个单结肠隐窝进行了全基因组测序,这些隐窝通过激光捕获显微切割或类器官培养获得。其中,我们对从两名供体的结肠广泛取样的732个隐窝进行了深入分析,从而实现了对结肠发育、生长和衰老的高分辨率重建。通过这一方法,我们确定了产生人类结肠的干细胞数量,表征了单个干细胞所维持的克隆区域,并证明干细胞多样性在整个结肠生长和衰老过程中得到稳定保存。 我们进一步分析了腺瘤和锯齿状病变,以确定这些癌前状态与正常组织和癌症有何不同,并阐明这两种病变类型的息肉发生过程有何差异,因为已知它们通过不同的分子通路产生。将这些病变置于正常结肠生物学的谱系解析框架中,揭示了它们演化轨迹上的根本差异。此外,通过追踪结肠生长过程中的隐窝裂变动力学,我们得以精确推断出导致SBS89突变特征的致突变暴露的时间。这些发现为环境因素(包括微生物组)如何影响正常结肠并促成结直肠癌发展提供了见解。 总之,我们的研究建立了一个全面的框架,将正常结肠的发育和衰老与癌前及癌变状态的出现相连接。通过弥合这一关键空白,我们的工作为理解结直肠癌及相关疾病的起源奠定了基础。
查看英文原文 English abstract
Despite extensive research on colorectal cancer, the transition from normal tissue to precancerous states-and which precancerous lesions ultimately progress to cancer-remains poorly understood. This gap largely reflects limited knowledge of the normal colon and early precancerous stages. Understanding how the colon changes throughout development, growth, and aging, and how precancerous lesions diverge from normal tissue, is therefore essential for elucidating colorectal cancer initiation. Somatic mutations accumulated from development across the lifespan can serve as molecular barcodes to reconstruct lineage relationships among colonic cells. Here, we performed whole-genome sequencing of 1,098 single colonic crypts from 14 donors, obtained using laser capture microdissection or organoid culture. Among these, we conducted an in-depth analysis of 732 crypts sampled extensively across the colon from two donors, enabling high-resolution reconstruction of colonic development, growth, and aging. Through this approach, we defined the number of stem cells that give rise to the human colon, characterized the clonal territories maintained by individual stem cells, and demonstrated that stem cell diversity is stably preserved throughout colon growth and aging. We further analyzed adenomas and serrated lesions to define how these precancerous states differ from normal tissue and cancer, and to elucidate how the polypogenesis of these two lesion types differs, as they are known to arise through distinct molecular pathways. Placing these lesions within a lineage-resolved framework of normal colonic biology revealed fundamental differences in their evolutionary trajectories. Additionally, by tracing crypt fission dynamics during colon growth, we were able to precisely infer the timing of mutagenic exposure responsible for the SBS89 mutational signature. These findings provide insights into how environmental factors, including the microbiome, may influence the normal colon and contribute to colorectal cancer development. Together, our study establishes a comprehensive framework linking normal colonic development and aging to the emergence of precancerous and cancerous states. By bridging this critical gap, our work provides a foundation for understanding the origins of colorectal cancer and related diseases.
利益披露 Disclosure
J. Jeong, None.. J. Bae, None.. S. Jeong, None.. J. Park, None.. H. Lee, None.. M. Kim, None. Y. S. Ju, Inocras Employment, g., Board of Directors, non-salaried role), Stock.

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