Evidence map›Paper›PMID 26514170›Full record

ArticleBMC cancer2015

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

Mai-Britt W Ørntoft, Hans J Nielsen, Torben F Ørntoft, Claus L Andersen, Danish Study Group on Early Detection of Colorectal Cancer

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 7 pooled it
2.7field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 7 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  6. Diagnostic Value and Clinical Significance of Methylated SEPT9 for Colorectal Cancer: A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Pooled it
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  8. Article
  9. Review
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  13. Novel Diagnostic Biomarkers in Colorectal Cancer.International journal of molecular sciences · 2022
    Review
  14. Article
  15. Article
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  18. Serum netrin-1 as a biomarker for colorectal cancer detection.Cancer biomarkers : section A of Disease markers · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Mai-Britt W ØrntoftDepartment of Molecular Medicine, MOMA, Aarhus University Hospital, Skejby, DK-8200, Aarhus N, Denmark. mwo@clin.au.dk.
Hans J NielsenDepartment of Surgical Gastroenterology 360, Hvidovre Hospital, University of Copenhagen, DK-2650, Hvidovre, Denmark. h.j.nielsen360@gmail.com.
Torben F ØrntoftDepartment of Molecular Medicine, MOMA, Aarhus University Hospital, Skejby, DK-8200, Aarhus N, Denmark. tfo@clin.au.dk.
Claus L AndersenDepartment of Molecular Medicine, MOMA, Aarhus University Hospital, Skejby, DK-8200, Aarhus N, Denmark. cla@clin.au.dk.
Danish Study Group on Early Detection of Colorectal Cancer
Aarhus University Hospital · DKHvidovre Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnnually, colorectal cancer (CRC) is diagnosed in >1.4 million subjects worldwide and incidence is increasing. Much effort has therefore been focused on screening, which has proven to reduce cancer-related mortality. The Sept9 DNA-methylation assay is among the most well studied blood-based screening markers. However, earlier reported performances may be misleading: the Sept9 test was recently examined in two screening based cohorts and yielded performances lower than expected. We hypothesize that comorbidities and/or demographic characteristics affect the results of the Sept9 test.

methodsUsing a retrospective nested case-control study design, we studied plasma from 150 cancer and 150 controls selected from a well-characterized cohort of 4698 subjects referred for diagnostic colonoscopy due to CRC-related symptoms. The cases and controls were matched on age and gender, and moreover cases were stratified on tumor-site and tumor-stage. The selected cohort included a wide range of comorbidities. Plasma Sept9 levels were assessed using a commercially available PCR based assay (Epi-proColon).

resultsClinical sensitivity for CRC stages I-IV was 37 %, 91 %, 77 %, and 89 %, and the overall sensitivity 73 % (95 % CI, 64-80 %) and specificity 82 % (95 % CI, 75-88 %), respectively. Age >65 was associated with both increased false positive and false negative results (p < 0.05). Arthritis was associated with a higher false negative rate (p = 0.005) whereas Arteriosclerosis was associated with a higher false positive rate (p = 0.007). Diabetes was associated with Sept9 positivity with an OR of 5.2 (95 % CI 1.4-19.1). When the performance of Sept9 was adjusted for these parameters in a final multivariate regression model, the OR for a positive Sept9 test to be associated with CRC increased from 8.25 (95 % CI 4.83-14.09) to 29.46 (95 % CI 12.58-69.02).

conclusionsThe results indicate that the performance of the Sept9 assay is negatively affected by several factors commonly associated with CRC screening populations: early-stage disease, age > 65 years, diabetes, arthritis, and arteriosclerosis. This should be taken into account if the Sept9 assay is used as a single marker for CRC screening, but may also have a wider impact, as it is likely that such factors may affect other blood based DNA markers as well.

Indexed as

Biomarkers, TumorEarly Detection of CancerAgedAged, 80 and overAge FactorsAlgorithmsArthritisCase-Control StudiesColonoscopyColorectal NeoplasmsComorbidityDiabetes MellitusFemaleHumansMaleMiddle AgedBiomarkers, TumorSEPTIN9 protein, humanSeptins

Identifiers

PMID26514170
PMCPMC4625973
OpenAlexW1907448107

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.