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methylated sept9 dna  (Thermo Fisher)


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    Structured Review

    Thermo Fisher methylated sept9 dna
    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
    Methylated Sept9 Dna, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/methylated+sept9+dna/DNA/pmc04625973-169-7-24
    Average 99 stars, based on 1 article reviews
    methylated sept9 dna - by Bioz Stars, 2026-09
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    Images

    1) Product Images from "Performance of the colorectal cancer screening marker Sept9 is influenced by age, diabetes and arthritis: a nested case–control study"

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

    Journal: BMC Cancer

    doi: 10.1186/s12885-015-1832-6

    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
    Figure Legend 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

    Techniques Used:

     Sept9  positivity of individuals with CRC
    Figure Legend Snippet: Sept9 positivity of individuals with CRC

    Techniques Used: Clinical Proteomics

     Sept9  positivity of individuals with NED
    Figure Legend Snippet: Sept9 positivity of individuals with NED

    Techniques Used: Clinical Proteomics

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

    Techniques Used:

    Related Articles

    Methylation:

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

    Polymerase Chain Reaction:

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

    Real-time Polymerase Chain Reaction:

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



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    Image Search Results


    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: