D. Hein, Laura A. Coughlin, Nicole Poulides, Andrew Y. Koh, N. N. Sanford
{"title":"评估接受直肠癌根治性治疗的各类患者的肠道微生物组特征","authors":"D. Hein, Laura A. Coughlin, Nicole Poulides, Andrew Y. Koh, N. N. Sanford","doi":"10.36401/jipo-23-30","DOIUrl":null,"url":null,"abstract":"\n \n \n Disparities in incidence and outcome of rectal cancer are multifactorial in etiology but may be due, in part, to differences in gut microbiome composition. We used serial robust statistical approaches to assess baseline gut microbiome composition in a diverse cohort of patients with rectal cancer receiving definitive treatment.\n \n \n \n Microbiome composition was compared by age at diagnosis (< 50 vs ≥ 50 years), race and ethnicity (White Hispanic vs non-Hispanic), and response to therapy. Alpha diversity was assessed using the Shannon, Chao1, and Simpson diversity measures. Beta diversity was explored using both Bray-Curtis dissimilarity and Aitchison distance with principal coordinate analysis. To minimize false-positive findings, we used two distinct methods for differential abundance testing: LinDA and MaAsLin2 (all statistics two-sided, Benjamini-Hochberg corrected false discovery rate < 0.05).\n \n \n \n Among 64 patients (47% White Hispanic) with median age 51 years, beta diversity metrics showed significant clustering by race and ethnicity (p < 0.001 by both metrics) and by onset (Aitchison p = 0.022, Bray-Curtis p = 0.035). White Hispanic patients had enrichment of bacterial family Prevotellaceae (LinDA fold change 5.32, MaAsLin2 fold change 5.11, combined adjusted p = 0.0007). No significant differences in microbiome composition were associated with neoadjuvant therapy response.\n \n \n \n We identified distinct gut microbiome signatures associated with race and ethnicity and age of onset in a diverse cohort of patients undergoing definitive treatment for rectal cancer.\n","PeriodicalId":16081,"journal":{"name":"Journal of Immunotherapy and Precision Oncology","volume":"12 32","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of Distinct Gut Microbiome Signatures in a Diverse Cohort of Patients Undergoing Definitive Treatment for Rectal Cancer\",\"authors\":\"D. Hein, Laura A. Coughlin, Nicole Poulides, Andrew Y. Koh, N. N. Sanford\",\"doi\":\"10.36401/jipo-23-30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n \\n \\n Disparities in incidence and outcome of rectal cancer are multifactorial in etiology but may be due, in part, to differences in gut microbiome composition. We used serial robust statistical approaches to assess baseline gut microbiome composition in a diverse cohort of patients with rectal cancer receiving definitive treatment.\\n \\n \\n \\n Microbiome composition was compared by age at diagnosis (< 50 vs ≥ 50 years), race and ethnicity (White Hispanic vs non-Hispanic), and response to therapy. Alpha diversity was assessed using the Shannon, Chao1, and Simpson diversity measures. Beta diversity was explored using both Bray-Curtis dissimilarity and Aitchison distance with principal coordinate analysis. To minimize false-positive findings, we used two distinct methods for differential abundance testing: LinDA and MaAsLin2 (all statistics two-sided, Benjamini-Hochberg corrected false discovery rate < 0.05).\\n \\n \\n \\n Among 64 patients (47% White Hispanic) with median age 51 years, beta diversity metrics showed significant clustering by race and ethnicity (p < 0.001 by both metrics) and by onset (Aitchison p = 0.022, Bray-Curtis p = 0.035). White Hispanic patients had enrichment of bacterial family Prevotellaceae (LinDA fold change 5.32, MaAsLin2 fold change 5.11, combined adjusted p = 0.0007). No significant differences in microbiome composition were associated with neoadjuvant therapy response.\\n \\n \\n \\n We identified distinct gut microbiome signatures associated with race and ethnicity and age of onset in a diverse cohort of patients undergoing definitive treatment for rectal cancer.\\n\",\"PeriodicalId\":16081,\"journal\":{\"name\":\"Journal of Immunotherapy and Precision Oncology\",\"volume\":\"12 32\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Immunotherapy and Precision Oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36401/jipo-23-30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Immunotherapy and Precision Oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36401/jipo-23-30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
直肠癌发病率和预后的差异有多种病因,但部分原因可能是肠道微生物组组成的差异。我们采用了一系列稳健的统计方法来评估接受明确治疗的直肠癌患者的肠道微生物组基线组成。 微生物组组成按诊断时的年龄(< 50 岁 vs ≥ 50 岁)、种族和民族(西班牙裔白人 vs 非西班牙裔)以及治疗反应进行了比较。α多样性采用香农、Chao1 和辛普森多样性测量法进行评估。贝塔多样性则采用布雷-柯蒂斯相似度和艾奇逊距离与主坐标分析进行探讨。为了尽量减少假阳性结果,我们使用了两种不同的方法进行差异丰度测试:LinDA和MaAsLin2(所有统计数据均为双侧统计,Benjamini-Hochberg校正的假阳性发现率小于0.05)。 在中位年龄为 51 岁的 64 名患者(47% 为西班牙裔白人)中,β 多样性指标显示出显著的种族和民族聚类(两种指标的 p 均小于 0.001)以及发病聚类(艾奇森 p = 0.022,布雷-柯蒂斯 p = 0.035)。西班牙裔白人患者的前胡科细菌富集(LinDA折变5.32,MaAsLin2折变5.11,综合调整后p = 0.0007)。微生物组组成的明显差异与新辅助治疗反应无关。 我们在接受直肠癌明确治疗的不同患者队列中发现了与种族、民族和发病年龄相关的不同肠道微生物组特征。
Assessment of Distinct Gut Microbiome Signatures in a Diverse Cohort of Patients Undergoing Definitive Treatment for Rectal Cancer
Disparities in incidence and outcome of rectal cancer are multifactorial in etiology but may be due, in part, to differences in gut microbiome composition. We used serial robust statistical approaches to assess baseline gut microbiome composition in a diverse cohort of patients with rectal cancer receiving definitive treatment.
Microbiome composition was compared by age at diagnosis (< 50 vs ≥ 50 years), race and ethnicity (White Hispanic vs non-Hispanic), and response to therapy. Alpha diversity was assessed using the Shannon, Chao1, and Simpson diversity measures. Beta diversity was explored using both Bray-Curtis dissimilarity and Aitchison distance with principal coordinate analysis. To minimize false-positive findings, we used two distinct methods for differential abundance testing: LinDA and MaAsLin2 (all statistics two-sided, Benjamini-Hochberg corrected false discovery rate < 0.05).
Among 64 patients (47% White Hispanic) with median age 51 years, beta diversity metrics showed significant clustering by race and ethnicity (p < 0.001 by both metrics) and by onset (Aitchison p = 0.022, Bray-Curtis p = 0.035). White Hispanic patients had enrichment of bacterial family Prevotellaceae (LinDA fold change 5.32, MaAsLin2 fold change 5.11, combined adjusted p = 0.0007). No significant differences in microbiome composition were associated with neoadjuvant therapy response.
We identified distinct gut microbiome signatures associated with race and ethnicity and age of onset in a diverse cohort of patients undergoing definitive treatment for rectal cancer.