Advani Shailesh M, Swartz Michael D, Loree Jonathan, Davis Jennifer S, Sarsashek Amir Mehvarz, Lam Michael, Lee Michael Sangmin, Bressler Jan, Lopez David S, Daniel Carrie R, Morris Van, Shureqi Imad, Kee Bryan, Dasari Arvind, Vilar Eduardo, Overman Michael, Hamilton Stanley, Maru Dipen, Braithwaite Dejana, Kopetz Scott
Social Behavioral Research Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, MD; Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Oncology, Georgetown University School of Medicine, Washington, DC.
Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX.
Clin Colorectal Cancer. 2021 Jun;20(2):137-147.e1. doi: 10.1016/j.clcc.2020.09.007. Epub 2020 Oct 12.
CpG island methylator phenotype (CIMP) forms a distinct epigenetic phenotype in colorectal cancer (CRC). Though associated with distinct clinicopathologic characteristics, limited evidence exists of the association of CIMP with patient's reported lifestyle factors and tumor molecular characteristics. We assessed the associations of these characteristics in a pooled analysis of CRC patients.
We pooled data from 3 CRC patient cohorts: Assessment of Targeted Therapies Against Colorectal Cancer (ATTACC), biomarker-based protocol (Integromics), and The Cancer Genome Atlas (TCGA). CIMP was measured using the classical 6-gene methylated-in-tumor (MINT) marker panel (MINT1, MINT2, MINT31, p14, p16, and MLH1) in ATTACC and genome-wide human methylation arrays in Integromics and TCGA, respectively. CIMP-High (CIMP-H) was defined as ≥ 3 of 6 methylated markers in ATTACC. In TCGA and Integromics, CIMP-H group was defined on the basis of clusters of methylation profiles and high levels of methylation in tumor samples. Baseline comparisons of characteristics across CIMP groups (CIMP-H vs. CIMP-0) were performed by Student t test or chi-square test for continuous or categorical variables, respectively. Further logistic regression analyses were performed to compute the odds ratio (OR) of these associations.
Pooled prevalence of CIMP-H was 22% across 3 data sets. CIMP-H CRC tumors were associated with older age at diagnosis (OR, 1.02; 95% confidence interval [CI], 1.01, 1.03), microsatellite instability-high (MSI-H) status (OR, 9.15; 95% CI, 4.45, 18.81), BRAF mutation (OR, 7.70; 95% CI, 4.98, 11.87), right-sided tumor location (OR, 2.40; 95% CI, 1.78, 3.22), poor differentiation (OR, 2.94; 95% CI, 1.95, 4.45), and mucinous histology (OR, 2.47; 95% CI, 1.77, 3.47), as reported previously in the literature. CIMP-H tumors were also found to be associated with self-reported history of alcohol consumption (OR, ever vs. never, 1.58; 95% CI, 1.07, 2.34). Pathologically, CIMP-H tumors were associated with the presence of intraepithelial lymphocytes (OR, 3.31; 95% CI, 1.41, 7.80) among patients in the Integromics cohort.
CIMP-H tumors were associated with history of alcohol consumption and presence of intraepithelial lymphocytes. In addition, we confirmed the previously known association of CIMP with age, MSI-H status, BRAF mutation, sidedness, and mucinous histology. Molecular pathologic epidemiology associations help us explore the underlying association of lifestyle and clinical factors with molecular subsets like CIMP and help guide cancer prevention and treatment strategies.
CpG岛甲基化表型(CIMP)在结直肠癌(CRC)中形成一种独特的表观遗传表型。尽管与独特的临床病理特征相关,但关于CIMP与患者报告的生活方式因素及肿瘤分子特征之间关联的证据有限。我们在一项CRC患者的汇总分析中评估了这些特征之间的关联。
我们汇总了3个CRC患者队列的数据:结直肠癌靶向治疗评估(ATTACC)、基于生物标志物的方案(Integromics)以及癌症基因组图谱(TCGA)。在ATTACC中使用经典的6基因肿瘤甲基化(MINT)标志物面板(MINT1、MINT2、MINT31、p14、p16和MLH1)测量CIMP,在Integromics和TCGA中分别使用全基因组人类甲基化阵列。在ATTACC中,CIMP高(CIMP-H)被定义为6个甲基化标志物中≥3个。在TCGA和Integromics中,CIMP-H组是根据甲基化谱聚类和肿瘤样本中的高甲基化水平定义的。分别通过Student t检验或卡方检验对CIMP组(CIMP-H与CIMP-0)之间的特征进行基线比较,以分析连续变量或分类变量。进行进一步的逻辑回归分析以计算这些关联的比值比(OR)。
在3个数据集中,CIMP-H的汇总患病率为22%。CIMP-H CRC肿瘤与诊断时年龄较大(OR,1.02;95%置信区间[CI],1.01,1.03)、微卫星高度不稳定(MSI-H)状态(OR,9.15;95% CI,4.45,18.81)、BRAF突变(OR,7.70;95% CI,4.98,11.87)、肿瘤位于右侧(OR,2.40;95% CI,1.78,3.22)、分化差(OR,2.94;95% CI,1.95,4.45)以及黏液组织学(OR,2.47;95% CI,1.77,3.47)相关,如先前文献报道。还发现CIMP-H肿瘤与自我报告的饮酒史相关(OR,曾经饮酒与从不饮酒,1.58;95% CI,1.07,2.34)。在病理上,Integromics队列中的患者中,CIMP-H肿瘤与上皮内淋巴细胞的存在相关(OR,3.31;95% CI,1.41,7.80)。
CIMP-H肿瘤与饮酒史和上皮内淋巴细胞的存在相关。此外,我们证实了先前已知的CIMP与年龄、MSI-H状态、BRAF突变、肿瘤位置和黏液组织学之间的关联。分子病理流行病学关联有助于我们探索生活方式和临床因素与CIMP等分子亚群之间的潜在关联,并有助于指导癌症预防和治疗策略。