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Age plotted against <t>Sept9</t> outcome. FP: False positive, TN: True negative, FN: False negative, TP: True positive. N: Number of subjects in each category. Age: All ages younger or equal to the age interval mentioned. -1/3 and 2/3 refers to the PCR-algorithms used
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Epigenomics ag sept9 dna methylation assay
Age plotted against <t>Sept9</t> outcome. FP: False positive, TN: True negative, FN: False negative, TP: True positive. N: Number of subjects in each category. Age: All ages younger or equal to the age interval mentioned. -1/3 and 2/3 refers to the PCR-algorithms used
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Overview of study characteristics, clinical applications, evaluated strategies, and overall judgement

Journal: Pharmacoeconomics

Article Title: Health Economic Evidence and Modeling Challenges for Liquid Biopsy Assays in Cancer Management: A Systematic Literature Review

doi: 10.1007/s40273-023-01292-5

Figure Lengend Snippet: Overview of study characteristics, clinical applications, evaluated strategies, and overall judgement

Article Snippet: 10 , Deibel et al. (2021) [ ] , CEA/CUA (USA) , Screening and early detection General population from birth until either mortality or reaching the upper age limit of 100 years , Methylated SEPT9 DNA , Epi proColon (methylated SEPT9 DNA) Other strategies (no screening, colonoscopy, FIT, ColoGuard, and PolypDx) , Cost-effective Epi proColon was cost-effective compared with no screening, with a 100% adherence scenario; Epi proColon was cost-effective compared with no screening, colonoscopy, or FIT (2 years), with real-world adherence scenario; Epi proColon was dominated compared with ColoGuard in both scenarios..

Techniques: Biomarker Discovery, Selection, Clinical Proteomics, Mutagenesis, Methylation, Adjuvant, Marker, Imaging, Spectroscopy

Training cohort. Methylation levels of SEPT9 , SHOX2 , and mean SEPT9 / SHOX2 in plasma of HNSCC ( n = 137) and control ( n = 170) patients in relative quantification, genome equivalents (absolute quantification), and quasi-digital PCR with sensitivity (sens.), specificity (spec.), and cutoffs. Receiver Operating Characteristics with AUCs of HNSCC and control patients

Journal: Clinical Epigenetics

Article Title: Comparison of quantification algorithms for circulating cell-free DNA methylation biomarkers in blood plasma from cancer patients

doi: 10.1186/s13148-017-0425-4

Figure Lengend Snippet: Training cohort. Methylation levels of SEPT9 , SHOX2 , and mean SEPT9 / SHOX2 in plasma of HNSCC ( n = 137) and control ( n = 170) patients in relative quantification, genome equivalents (absolute quantification), and quasi-digital PCR with sensitivity (sens.), specificity (spec.), and cutoffs. Receiver Operating Characteristics with AUCs of HNSCC and control patients

Article Snippet: DD has been an employee and is a consultant of Epigenomics AG, a company that aims to commercialize the DNA methylation biomarkers SEPT9 and SHOX2 .

Techniques: Methylation, Clinical Proteomics, Control, Quantitative Proteomics, Digital PCR

Testing cohort. Methylation levels of SEPT9 , SHOX2 , and mean SEPT/SHOX2 in plasma of HNSCC ( n = 141) and control ( n = 102) patients in relative quantification, genome equivalents (absolute quantification), and quasi-digital PCR with sensitivity (sens.), specificity (spec.), and cutoffs. ROC curves with AUCs of HNSCC and control patients

Journal: Clinical Epigenetics

Article Title: Comparison of quantification algorithms for circulating cell-free DNA methylation biomarkers in blood plasma from cancer patients

doi: 10.1186/s13148-017-0425-4

Figure Lengend Snippet: Testing cohort. Methylation levels of SEPT9 , SHOX2 , and mean SEPT/SHOX2 in plasma of HNSCC ( n = 141) and control ( n = 102) patients in relative quantification, genome equivalents (absolute quantification), and quasi-digital PCR with sensitivity (sens.), specificity (spec.), and cutoffs. ROC curves with AUCs of HNSCC and control patients

Article Snippet: DD has been an employee and is a consultant of Epigenomics AG, a company that aims to commercialize the DNA methylation biomarkers SEPT9 and SHOX2 .

Techniques: Methylation, Clinical Proteomics, Control, Quantitative Proteomics, Digital PCR

Training cohort. Kaplan-Meier analysis of overall survival in HNSCC patients ( n = 129). Patients are stratified according to SHOX2 and SEPT9 plasma methylation levels. Plasma methylation levels were quantified using relative, absolute quantification, and quasi-digital PCR and dichotomized based on cutoffs that resulted in specificities and sensitivities as seen in Figs. and . Cutoff values for positive (above cutoff) and negative (below cutoff) classification: SEPT9 , SHOX2 , and mean SEPT9/SHOX2 . Cutoffs for relative quantification were SEPT9 = 0.055%, SHOX2 = 0.281%, and mean SEPT9/SHOX2 = 0.118%; for absolute quantification SEPT9 = 4.68 pg, SHOX2 = 22.7 pg, and mean SEPT9/SHOX2 = 14.3 pg; for quasi-digital PCR for SEPT9 > 2, for SHOX2 > 4 and for mean SEPT9/SHOX2 > 2 positive PCR reactions

Journal: Clinical Epigenetics

Article Title: Comparison of quantification algorithms for circulating cell-free DNA methylation biomarkers in blood plasma from cancer patients

doi: 10.1186/s13148-017-0425-4

Figure Lengend Snippet: Training cohort. Kaplan-Meier analysis of overall survival in HNSCC patients ( n = 129). Patients are stratified according to SHOX2 and SEPT9 plasma methylation levels. Plasma methylation levels were quantified using relative, absolute quantification, and quasi-digital PCR and dichotomized based on cutoffs that resulted in specificities and sensitivities as seen in Figs. and . Cutoff values for positive (above cutoff) and negative (below cutoff) classification: SEPT9 , SHOX2 , and mean SEPT9/SHOX2 . Cutoffs for relative quantification were SEPT9 = 0.055%, SHOX2 = 0.281%, and mean SEPT9/SHOX2 = 0.118%; for absolute quantification SEPT9 = 4.68 pg, SHOX2 = 22.7 pg, and mean SEPT9/SHOX2 = 14.3 pg; for quasi-digital PCR for SEPT9 > 2, for SHOX2 > 4 and for mean SEPT9/SHOX2 > 2 positive PCR reactions

Article Snippet: DD has been an employee and is a consultant of Epigenomics AG, a company that aims to commercialize the DNA methylation biomarkers SEPT9 and SHOX2 .

Techniques: Clinical Proteomics, Methylation, Quantitative Proteomics, Digital PCR

Testing cohort. Kaplan-Meier analysis of overall survival in HNSCC patients ( n = 137). Patients are stratified according to SHOX2 and SEPT9 plasma methylation levels. Plasma methylation levels were quantified using relative, absolute quantification and quasi-digital PCR and dichotomized based on cutoffs established in the training cohort. Cutoff values for positive (above cutoff) and negative (below cutoff) classification: SEPT9 , SHOX2 , and mean SEPT9/SHOX2 . Cutoffs for relative quantification were SEPT9 = 0.055%, SHOX2 = 0.281%, and mean SEPT9/SHOX2 = 0.118%; for absolute quantification SEPT9 = 4.68 pg, SHOX2 = 22.7 pg, and mean SEPT9/SHOX2 = 14.3 pg; for quasi-digital PCR for SEPT9 > 2, for SHOX2 > 4, and for mean SEPT9/SHOX2 > 2 positive PCR reactions

Journal: Clinical Epigenetics

Article Title: Comparison of quantification algorithms for circulating cell-free DNA methylation biomarkers in blood plasma from cancer patients

doi: 10.1186/s13148-017-0425-4

Figure Lengend Snippet: Testing cohort. Kaplan-Meier analysis of overall survival in HNSCC patients ( n = 137). Patients are stratified according to SHOX2 and SEPT9 plasma methylation levels. Plasma methylation levels were quantified using relative, absolute quantification and quasi-digital PCR and dichotomized based on cutoffs established in the training cohort. Cutoff values for positive (above cutoff) and negative (below cutoff) classification: SEPT9 , SHOX2 , and mean SEPT9/SHOX2 . Cutoffs for relative quantification were SEPT9 = 0.055%, SHOX2 = 0.281%, and mean SEPT9/SHOX2 = 0.118%; for absolute quantification SEPT9 = 4.68 pg, SHOX2 = 22.7 pg, and mean SEPT9/SHOX2 = 14.3 pg; for quasi-digital PCR for SEPT9 > 2, for SHOX2 > 4, and for mean SEPT9/SHOX2 > 2 positive PCR reactions

Article Snippet: DD has been an employee and is a consultant of Epigenomics AG, a company that aims to commercialize the DNA methylation biomarkers SEPT9 and SHOX2 .

Techniques: Clinical Proteomics, Methylation, Quantitative Proteomics, Digital PCR

Diagnostic and prognostic performance of  SHOX2  and SEPT9 hypermethylation

Journal: Clinical Epigenetics

Article Title: Comparison of quantification algorithms for circulating cell-free DNA methylation biomarkers in blood plasma from cancer patients

doi: 10.1186/s13148-017-0425-4

Figure Lengend Snippet: Diagnostic and prognostic performance of SHOX2 and SEPT9 hypermethylation

Article Snippet: DD has been an employee and is a consultant of Epigenomics AG, a company that aims to commercialize the DNA methylation biomarkers SEPT9 and SHOX2 .

Techniques: Diagnostic Assay, Biomarker Discovery

Clinicopathological data of 71 biliary tract cancer patients included in the tissue study. Associations of clinicopathological data with relative DNA  methylation  of SHOX2 and  SEPT9  in tumor tissue

Journal: Clinical Epigenetics

Article Title: Promoter hypermethylation of SHOX2 and SEPT9 is a potential biomarker for minimally invasive diagnosis in adenocarcinomas of the biliary tract

doi: 10.1186/s13148-016-0299-x

Figure Lengend Snippet: Clinicopathological data of 71 biliary tract cancer patients included in the tissue study. Associations of clinicopathological data with relative DNA methylation of SHOX2 and SEPT9 in tumor tissue

Article Snippet: Dimo Dietrich has been an employee and is a stockholder of Epigenomics AG, a company that aims to commercialize the DNA methylation biomarkers SEPT9 and SHOX2 .

Techniques: DNA Methylation Assay, Methylation, Biomarker Discovery

SHOX2 and SEPT9 DNA methylation levels in tissue samples. Relative DNA methylation values (PMR in %) of SHOX2 are depicted as black rhombuses for a NAT and BTC specimens, as well as for b NAT, CC, and GBC specimens. PMR values of SEPT9 are also depicted for c NAT and BTC specimens, as well as for d NAT, CC, and GBC specimens. Horizontal lines indicate median PMR values of sample series. p values refer to Mann-Whitney U test. *Bonferroni corrected p values for multiple pairwise compare

Journal: Clinical Epigenetics

Article Title: Promoter hypermethylation of SHOX2 and SEPT9 is a potential biomarker for minimally invasive diagnosis in adenocarcinomas of the biliary tract

doi: 10.1186/s13148-016-0299-x

Figure Lengend Snippet: SHOX2 and SEPT9 DNA methylation levels in tissue samples. Relative DNA methylation values (PMR in %) of SHOX2 are depicted as black rhombuses for a NAT and BTC specimens, as well as for b NAT, CC, and GBC specimens. PMR values of SEPT9 are also depicted for c NAT and BTC specimens, as well as for d NAT, CC, and GBC specimens. Horizontal lines indicate median PMR values of sample series. p values refer to Mann-Whitney U test. *Bonferroni corrected p values for multiple pairwise compare

Article Snippet: Dimo Dietrich has been an employee and is a stockholder of Epigenomics AG, a company that aims to commercialize the DNA methylation biomarkers SEPT9 and SHOX2 .

Techniques: DNA Methylation Assay, MANN-WHITNEY

Receiver operating characteristic (ROC) curves for SHOX2 , SEPT9 , and the combined biomarker panel (based on the sum of PMR values) in tissue specimens. The ROC curves and resulting area under the curve (AUC) values are depicted for a all 55 BTC specimens: AUC— SHOX2 = 0.918 [95% CI 0.865–0.971]; AUC— SEPT9 = 0.601 [95% CI 0.488–0.713]; AUC—Panel 0.933 [95% CI 0.886–0.979] b 43 CC specimens: AUC— SHOX2 = 09.21 [0.863–0.979]; AUC— SEPT9 = 0,.541 [95% CI 0.416–0.666]; AUC—Panel = 0.932 [95% CI 0.880–0.984] and c 12 GBC specimens: AUC— SHOX2 = 0.907 [95% CI 0.808–1.005]; AUC— SEPT9 = 0.815 [95% CI 0.637–0.993]; AUC—Panel = 0.935 [95% CI 0.855–1.015], respectively

Journal: Clinical Epigenetics

Article Title: Promoter hypermethylation of SHOX2 and SEPT9 is a potential biomarker for minimally invasive diagnosis in adenocarcinomas of the biliary tract

doi: 10.1186/s13148-016-0299-x

Figure Lengend Snippet: Receiver operating characteristic (ROC) curves for SHOX2 , SEPT9 , and the combined biomarker panel (based on the sum of PMR values) in tissue specimens. The ROC curves and resulting area under the curve (AUC) values are depicted for a all 55 BTC specimens: AUC— SHOX2 = 0.918 [95% CI 0.865–0.971]; AUC— SEPT9 = 0.601 [95% CI 0.488–0.713]; AUC—Panel 0.933 [95% CI 0.886–0.979] b 43 CC specimens: AUC— SHOX2 = 09.21 [0.863–0.979]; AUC— SEPT9 = 0,.541 [95% CI 0.416–0.666]; AUC—Panel = 0.932 [95% CI 0.880–0.984] and c 12 GBC specimens: AUC— SHOX2 = 0.907 [95% CI 0.808–1.005]; AUC— SEPT9 = 0.815 [95% CI 0.637–0.993]; AUC—Panel = 0.935 [95% CI 0.855–1.015], respectively

Article Snippet: Dimo Dietrich has been an employee and is a stockholder of Epigenomics AG, a company that aims to commercialize the DNA methylation biomarkers SEPT9 and SHOX2 .

Techniques: Biomarker Discovery

Results from univariate and multivariate survival analyses (Cox proportional hazard models)

Journal: Clinical Epigenetics

Article Title: Promoter hypermethylation of SHOX2 and SEPT9 is a potential biomarker for minimally invasive diagnosis in adenocarcinomas of the biliary tract

doi: 10.1186/s13148-016-0299-x

Figure Lengend Snippet: Results from univariate and multivariate survival analyses (Cox proportional hazard models)

Article Snippet: Dimo Dietrich has been an employee and is a stockholder of Epigenomics AG, a company that aims to commercialize the DNA methylation biomarkers SEPT9 and SHOX2 .

Techniques: Biomarker Discovery, Methylation

Relative DNA methylation values (PMR in %) of a SHOX2 and b SEPT9 in plasma samples from 100 controls and 20 cholangiocarcinoma patients. Each black rhombus represents a patient sample. Horizontal lines indicate median PMR values of sample series. p values refer to Mann-Whitney U test

Journal: Clinical Epigenetics

Article Title: Promoter hypermethylation of SHOX2 and SEPT9 is a potential biomarker for minimally invasive diagnosis in adenocarcinomas of the biliary tract

doi: 10.1186/s13148-016-0299-x

Figure Lengend Snippet: Relative DNA methylation values (PMR in %) of a SHOX2 and b SEPT9 in plasma samples from 100 controls and 20 cholangiocarcinoma patients. Each black rhombus represents a patient sample. Horizontal lines indicate median PMR values of sample series. p values refer to Mann-Whitney U test

Article Snippet: Dimo Dietrich has been an employee and is a stockholder of Epigenomics AG, a company that aims to commercialize the DNA methylation biomarkers SEPT9 and SHOX2 .

Techniques: DNA Methylation Assay, Clinical Proteomics, MANN-WHITNEY

Receiver operating characteristic (ROC) curves and area under the curve (AUC) values for SHOX2 , SEPT9 , and the combined biomarker panel, based on the sum of PMR values, in plasma samples. AUC— SHOX2 = 0.691 [95% CI 0.554–0.828]; AUC- SEPT9 = 0.699 [95% CI 0.561–0.837]; AUC-Panel = 0.752 [95% CI 0.631–0.873]

Journal: Clinical Epigenetics

Article Title: Promoter hypermethylation of SHOX2 and SEPT9 is a potential biomarker for minimally invasive diagnosis in adenocarcinomas of the biliary tract

doi: 10.1186/s13148-016-0299-x

Figure Lengend Snippet: Receiver operating characteristic (ROC) curves and area under the curve (AUC) values for SHOX2 , SEPT9 , and the combined biomarker panel, based on the sum of PMR values, in plasma samples. AUC— SHOX2 = 0.691 [95% CI 0.554–0.828]; AUC- SEPT9 = 0.699 [95% CI 0.561–0.837]; AUC-Panel = 0.752 [95% CI 0.631–0.873]

Article Snippet: Dimo Dietrich has been an employee and is a stockholder of Epigenomics AG, a company that aims to commercialize the DNA methylation biomarkers SEPT9 and SHOX2 .

Techniques: Biomarker Discovery, Clinical Proteomics

Age plotted against Sept9 outcome. FP: False positive, TN: True negative, FN: False negative, TP: True positive. N: Number of subjects in each category. Age: All ages younger or equal to the age interval mentioned. -1/3 and 2/3 refers to the PCR-algorithms used

Journal: BMC Cancer

Article Title: Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

doi: 10.1186/s12885-015-1832-6

Figure Lengend Snippet: Age plotted against Sept9 outcome. FP: False positive, TN: True negative, FN: False negative, TP: True positive. N: Number of subjects in each category. Age: All ages younger or equal to the age interval mentioned. -1/3 and 2/3 refers to the PCR-algorithms used

Article Snippet: Samples were then analyzed for presence of methylated Sept9 DNA with the Sensitive PCR kit on a 7500 Fast Dx Real Time PCR device (Life Technologies).

Techniques:

 Sept9  positivity of individuals with CRC

Journal: BMC Cancer

Article Title: Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

doi: 10.1186/s12885-015-1832-6

Figure Lengend Snippet: Sept9 positivity of individuals with CRC

Article Snippet: Samples were then analyzed for presence of methylated Sept9 DNA with the Sensitive PCR kit on a 7500 Fast Dx Real Time PCR device (Life Technologies).

Techniques: Clinical Proteomics

 Sept9  positivity of individuals with NED

Journal: BMC Cancer

Article Title: Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

doi: 10.1186/s12885-015-1832-6

Figure Lengend Snippet: Sept9 positivity of individuals with NED

Article Snippet: Samples were then analyzed for presence of methylated Sept9 DNA with the Sensitive PCR kit on a 7500 Fast Dx Real Time PCR device (Life Technologies).

Techniques: Clinical Proteomics

Predictors of Colorectal Cancer, 1/3 algorithm

Journal: BMC Cancer

Article Title: Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study

doi: 10.1186/s12885-015-1832-6

Figure Lengend Snippet: Predictors of Colorectal Cancer, 1/3 algorithm

Article Snippet: Samples were then analyzed for presence of methylated Sept9 DNA with the Sensitive PCR kit on a 7500 Fast Dx Real Time PCR device (Life Technologies).

Techniques: