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基于个性化预后特征区分的结直肠癌亚型的多组学图谱,用于基于5-氟尿嘧啶的化疗。

Multi-omics landscapes of colorectal cancer subtypes discriminated by an individualized prognostic signature for 5-fluorouracil-based chemotherapy.

作者信息

Tong M, Zheng W, Li H, Li X, Ao L, Shen Y, Liang Q, Li J, Hong G, Yan H, Cai H, Li M, Guan Q, Guo Z

机构信息

Department of Bioinformatics, Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, China.

出版信息

Oncogenesis. 2016 Jul 18;5(7):e242. doi: 10.1038/oncsis.2016.51.

DOI:10.1038/oncsis.2016.51
PMID:27429074
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5399173/
Abstract

Until recently, few prognostic signatures for colorectal cancer (CRC) patients receiving 5-fluorouracil (5-FU)-based chemotherapy could be used in clinical practice. Here, using transcriptional profiles for a panel of cancer cell lines and three cohorts of CRC patients, we developed a prognostic signature based on within-sample relative expression orderings (REOs) of six gene pairs for stage II-III CRC patients receiving 5-FU-based chemotherapy. This REO-based signature had the unique advantage of being insensitive to experimental batch effects and free of the impractical data normalization requirement. After stratifying 184 CRC samples with multi-omics data from The Cancer Genome Atlas into two prognostic groups using the REO-based signature, we further revealed that patients with high recurrence risk were characterized by frequent gene copy number aberrations reducing 5-FU efficacy and DNA methylation aberrations inducing distinct transcriptional alternations to confer 5-FU resistance. In contrast, patients with low recurrence risk exhibited deficient mismatch repair and carried frequent gene mutations suppressing cell adhesion. These results reveal the multi-omics landscapes determining prognoses of stage II-III CRC patients receiving 5-FU-based chemotherapy.

摘要

直到最近,很少有针对接受基于5-氟尿嘧啶(5-FU)化疗的结直肠癌(CRC)患者的预后特征可用于临床实践。在此,我们利用一组癌细胞系的转录谱以及三组CRC患者的数据,为接受基于5-FU化疗的II-III期CRC患者开发了一种基于六个基因对的样本内相对表达顺序(REO)的预后特征。这种基于REO的特征具有独特优势,即对实验批次效应不敏感且无需不切实际的数据标准化要求。使用基于REO的特征将来自癌症基因组图谱的184个具有多组学数据的CRC样本分为两个预后组后,我们进一步发现,高复发风险患者的特征是频繁的基因拷贝数畸变降低了5-FU疗效,以及DNA甲基化畸变诱导了不同的转录变化以赋予5-FU抗性。相比之下,低复发风险患者表现出错配修复缺陷,并携带频繁的抑制细胞粘附的基因突变。这些结果揭示了决定接受基于5-FU化疗的II-III期CRC患者预后的多组学格局。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/8d49834c7848/oncsis201651f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/8ad522c1f482/oncsis201651f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/505f058537ac/oncsis201651f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/c9499132ac1b/oncsis201651f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/bf96c19d10d1/oncsis201651f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/2ffca5219d22/oncsis201651f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/8d49834c7848/oncsis201651f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/8ad522c1f482/oncsis201651f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/505f058537ac/oncsis201651f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/c9499132ac1b/oncsis201651f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/bf96c19d10d1/oncsis201651f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/2ffca5219d22/oncsis201651f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2718/5399173/8d49834c7848/oncsis201651f6.jpg

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The consensus molecular subtypes of colorectal cancer.
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