Jessica L Petrick1,2, Ruth M Pfeiffer3, Linda M Liao3, Christian C Abnet3, Xiaolin Wu4, Marilie D Gammon5, Thomas L Vaughan6, Michael B Cook3. 1. Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA. jpetrick@bu.edu. 2. Slone Epidemiology Center, Boston University, 72 East Concord Street, L-7, Boston, MA, 02118, USA. jpetrick@bu.edu. 3. Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA. 4. Frederick National Laboratory for Cancer Research, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA. 5. Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA. 6. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Abstract
BACKGROUND AND AIMS: Tissue miRNA can discriminate between esophageal adenocarcinoma (EA) and normal epithelium. However, no studies have examined a comprehensive panel of circulating miRNAs in relation to EA diagnosis and survival. METHODS: We used all 62 EA cases from the US Multi-Center case-control study with available serum matched 1:1 to controls. Cases were followed for vital status. MiRNAs (n = 2064) were assessed using the HTG EdgeSeq miRNA Whole Transcriptome Assay. Differential expression analysis of miRNAs in relation to case-control status was conducted. In cases, Cox regression models were fit to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality. P values were adjusted using the Benjamini-Hochberg (BH) procedure for false discovery rate control. Predictive performance was assessed using cross-validation. RESULTS: Sixty-eight distinct miRNAs were significantly upregulated between cases and controls (e.g., miR-1255b-2-3p fold change = 1.74, BH-adjusted P = 0.01). Assessing the predictive performance of these significantly upregulated miRNAs yielded 60% sensitivity, 65% specificity, and 0.62 AUC. miR-4253 and miR-1238-5p were associated with risk of mortality after EA diagnosis (HR = 4.85, 95% CI: 2.30-10.23, BH-adjusted P = 0.04 and HR = 3.81, 95% CI: 2.02-7.19, BH-adjusted P = 0.04, respectively). CONCLUSIONS: While they require replication, these findings suggest that circulating miRNAs may be associated with EA diagnosis and survival.
BACKGROUND AND AIMS: Tissue miRNA can discriminate between esophageal adenocarcinoma (EA) and normal epithelium. However, no studies have examined a comprehensive panel of circulating miRNAs in relation to EA diagnosis and survival. METHODS: We used all 62 EA cases from the US Multi-Center case-control study with available serum matched 1:1 to controls. Cases were followed for vital status. MiRNAs (n = 2064) were assessed using the HTG EdgeSeq miRNA Whole Transcriptome Assay. Differential expression analysis of miRNAs in relation to case-control status was conducted. In cases, Cox regression models were fit to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality. P values were adjusted using the Benjamini-Hochberg (BH) procedure for false discovery rate control. Predictive performance was assessed using cross-validation. RESULTS: Sixty-eight distinct miRNAs were significantly upregulated between cases and controls (e.g., miR-1255b-2-3p fold change = 1.74, BH-adjusted P = 0.01). Assessing the predictive performance of these significantly upregulated miRNAs yielded 60% sensitivity, 65% specificity, and 0.62 AUC. miR-4253 and miR-1238-5p were associated with risk of mortality after EA diagnosis (HR = 4.85, 95% CI: 2.30-10.23, BH-adjusted P = 0.04 and HR = 3.81, 95% CI: 2.02-7.19, BH-adjusted P = 0.04, respectively). CONCLUSIONS: While they require replication, these findings suggest that circulating miRNAs may be associated with EA diagnosis and survival.
Authors: Karen Chiam; Tingting Wang; David I Watson; George C Mayne; Tanya S Irvine; Tim Bright; Lorelle Smith; Imogen A White; Joanne M Bowen; Dorothy Keefe; Sarah K Thompson; Michael E Jones; Damian J Hussey Journal: J Gastrointest Surg Date: 2015-05-06 Impact factor: 3.452
Authors: Mathias Uhlén; Linn Fagerberg; Björn M Hallström; Cecilia Lindskog; Per Oksvold; Adil Mardinoglu; Åsa Sivertsson; Caroline Kampf; Evelina Sjöstedt; Anna Asplund; IngMarie Olsson; Karolina Edlund; Emma Lundberg; Sanjay Navani; Cristina Al-Khalili Szigyarto; Jacob Odeberg; Dijana Djureinovic; Jenny Ottosson Takanen; Sophia Hober; Tove Alm; Per-Henrik Edqvist; Holger Berling; Hanna Tegel; Jan Mulder; Johan Rockberg; Peter Nilsson; Jochen M Schwenk; Marica Hamsten; Kalle von Feilitzen; Mattias Forsberg; Lukas Persson; Fredric Johansson; Martin Zwahlen; Gunnar von Heijne; Jens Nielsen; Fredrik Pontén Journal: Science Date: 2015-01-23 Impact factor: 47.728
Authors: Michael B Cook; Jennifer Drahos; Shannon Wood; Lindsey Enewold; Ruth Parsons; Neal D Freedman; Philip R Taylor; Winnie Ricker; Christian C Abnet Journal: Br J Cancer Date: 2016-10-25 Impact factor: 7.640