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直肠癌亚克隆对新辅助治疗的反应存在差异。

Rectal cancer sub-clones respond differentially to neoadjuvant therapy.

机构信息

Department of Surgery, Michigan Medicine, Ann Arbor, MI 48109.

Bioinformatics Core, Michigan Medicine, Ann Arbor, MI 48109; Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109.

出版信息

Neoplasia. 2019 Oct;21(10):1051-1062. doi: 10.1016/j.neo.2019.08.004. Epub 2019 Sep 12.


DOI:10.1016/j.neo.2019.08.004
PMID:31521947
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6745489/
Abstract

Treatment of locally advanced rectal cancer includes chemotherapy, radiation, and surgery but patient responses to neoadjuvant treatment are variable. We have shown that rectal tumors are comprised of multiple genetically distinct sub-clones. Unique sub-clones within tumors may harbor mutations which contribute to inter-patient variation in response to neoadjuvant chemoradiotherapy (nCRT). Analysis of the influence of nCRT on the extent and nature of intra-tumoral genetic heterogeneity in rectal cancer may provide insights into mechanisms of resistance. Locally advanced rectal cancer patients underwent pre-treatment biopsies. At the time of surgery, tissue from the treated tumor was obtained and analyzed. Pre- and post-treatment specimens were subjected to whole exome and confirmatory deep sequencing for somatic mutations. Copy number variation was assessed using OncoScan SNP arrays. Genomic data were analyzed using PyClone to identify sub-clonal tumor population following nCRT. Alterations that persisted or were enriched in the post-treatment tumor specimen following nCRT were defined for each patient. Thirty-two samples were obtained from ten patients. PyClone identified 2 to 10 genetic sub-clones per tumor. Substantial changes in the proportions of individual sub-clones in pre- versus post-treatment tumor material were found in all patients. Resistant sub-clones recurrently contained mutations in TP53, APC, ABCA13, MUC16, and THSD4. Recurrent copy number variation was observed across multiple chromosome regions after nCRT. Pathway analysis including variant alleles and copy number changes associated with resistant sub-clones revealed significantly altered pathways, especially those linked to the APC and TP53 genes, which were the two most frequently mutated genes. Intra-tumoral heterogeneity is evident in pre-treatment rectal cancer. Following treatment, sub-clonal populations are selectively modified and enrichment of a subset of pre-treatment sub-clones is seen. Further studies are needed to define recurrent alterations at diagnosis that may contribute to resistance to nCRT.

摘要

局部晚期直肠癌的治疗包括化疗、放疗和手术,但患者对新辅助治疗的反应各不相同。我们已经表明,直肠肿瘤由多个遗传上不同的亚克隆组成。肿瘤内的独特亚克隆可能携带有导致新辅助放化疗(nCRT)反应个体间差异的突变。分析 nCRT 对直肠癌肿瘤内遗传异质性程度和性质的影响,可能为耐药机制提供见解。局部晚期直肠癌患者接受了治疗前活检。在手术时,从治疗过的肿瘤中获取组织并进行分析。对治疗前后的标本进行全外显子和确证性深度测序以检测体细胞突变。使用 OncoScan SNP 阵列评估拷贝数变异。使用 PyClone 分析基因组数据,以确定 nCRT 后亚克隆肿瘤群体。对每个患者,定义在 nCRT 后治疗后肿瘤标本中持续存在或富集的改变。从 10 名患者中获得了 32 个样本。PyClone 确定每个肿瘤中有 2 到 10 个遗传亚克隆。在所有患者中,在治疗前和治疗后肿瘤标本中发现了个体亚克隆比例的大量变化。耐药亚克隆反复包含 TP53、APC、ABCA13、MUC16 和 THSD4 中的突变。在 nCRT 后观察到多个染色体区域的反复拷贝数变异。包括与耐药亚克隆相关的变异等位基因和拷贝数变化的途径分析显示,途径明显改变,特别是与 APC 和 TP53 基因相关的途径,这两个基因是最常发生突变的两个基因。在治疗前直肠癌中可以看到肿瘤内异质性。治疗后,亚克隆群体被选择性修饰,并且预先存在的亚克隆子集的富集可见。需要进一步研究以确定可能导致 nCRT 耐药的诊断时的反复改变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/854d32022170/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/edcb71cd15ed/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/c239d3dade96/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/78f11d9362e5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/9453fc18ac6d/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/794884ad612c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/854d32022170/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/edcb71cd15ed/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/c239d3dade96/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/78f11d9362e5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/9453fc18ac6d/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/794884ad612c/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/6745489/854d32022170/gr6.jpg

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[6]
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[7]
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