Evidence map›Paper›PMID 39280922›Full record

ArticleGastro hep advances2024

Algorithm Development and Early Performance Evaluation of a Next-Generation Multitarget Stool DNA Screening Test for Colorectal Cancer.

Thomas F Imperiale, Zubin D Gagrat, Martin Krockenberger, Kyle Porter, Emily Ziegler, Christine M Leduc, Michael B Matter, Marilyn C Olson, Paul J Limburg

4 registry-linked trialsAbstract read
In one paragraph

Article in Gastro hep advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT01397747 completednot on this map

Multi-Target Colorectal Cancer Screening Test for the Detection of Colorectal Advanced Adenomatous Polyps and Cancer: DeeP-C Study

TypeobservationalSponsorExact Sciences CorporationRan2011 to 2013Enrolled12,776ConditionsColorectal Neoplasms, Digestive System Diseases, Colonic Diseases, Colorectal Cancer
NCT03789162 completednot on this map

Blood and Stool Sample Collection in Subjects With a Diagnosis of Colorectal Cancer or Colorectal Lesion: Act Fast

TypeobservationalSponsorExact Sciences CorporationRan2018 to 2025Enrolled850ConditionsColorectal Cancer
NCT03821948 completednot on this map

Blood and Stool Sample Collection in Subjects Participating in Colorectal Cancer Screening: Act Bold

TypeobservationalSponsorExact Sciences CorporationRan2019 to 2020Enrolled5,131ConditionsColorectal Cancer
NCT04144738 completednot on this map

Clinical Validation of An Optimized Multi-Target Stool DNA (Mt-sDNA 2.0) Test, for Colorectal Cancer Screening "BLUE-C"

TypeobservationalSponsorExact Sciences CorporationRan2019 to 2023Enrolled26,758ConditionsColorectal CancerArmsmt-sDNA 2.0 screening test, FIT test, Colonoscopy
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
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

9 authors.

Thomas F ImperialeDivision of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana.
Zubin D GagratExact Sciences, Madison, Wisconsin.
Martin KrockenbergerExact Sciences, Madison, Wisconsin.
Kyle PorterExact Sciences, Madison, Wisconsin.
Emily ZieglerExact Sciences, Madison, Wisconsin.
Christine M LeducExact Sciences, Madison, Wisconsin.
Michael B MatterExact Sciences, Madison, Wisconsin.
Marilyn C OlsonExact Sciences, Madison, Wisconsin.
Paul J LimburgExact Sciences, Madison, Wisconsin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: The multitarget stool DNA (mt-sDNA) assay is a noninvasive average-risk colorectal cancer (CRC) screening test. A new biomarker panel was developed for a next-generation test to improve specificity while maintaining/increasing sensitivity. We aimed first to establish an algorithm and cutoff for the next-generation mt-sDNA test and then to validate it using archived samples from the pivotal DeeP-C study (NCT01397747) of the first-generation test. Methods: Algorithm development and cross-validation included 3011 samples from 2 specimen collection studies (NCT03821948 and NCT03789162). The algorithm and cutoff were locked before validation. Validation test set samples included 57 CRC, 583 advanced precancerous lesions (APLs), and 7022 samples negative for CRC or APLs from the DeeP-C study, which prospectively enrolled average-risk, asymptomatic adults aged 50-84 years before screening colonoscopy. Next-generation biomarkers included methylated DNA markers ceramide synthase 4 gene, leucine-rich repeat-containing protein 4 gene, serine/threonine-protein phosphatase 2A 56 kDa regulatory subunit gamma isoform gene, and zinc finger DHHC-type containing 1 gene (reference marker), and fecal hemoglobin. Primary validation end points were CRC sensitivity and specificity for the absence of advanced neoplasia. Secondary end points included APL sensitivity and specificity for non-neoplastic findings or negative colonoscopy. Results: Cross-validation and best-fit results from algorithm development closely matched, confirming algorithm reliability and reproducibility. For the test set, next-generation mt-sDNA test sensitivity was 93.0% (95% confidence interval [CI], 83.0%-98.1%) for CRC and 48.4% (95% CI, 44.2%-52.5%) for APLs. Specificity was 88.5% (95% CI, 87.7%-89.2%) for the absence of advanced neoplasia and 90.4% (95% CI, 89.5%-91.2%) for the combination of non-neoplastic findings or negative colonoscopy. Conclusion: Based on archived samples, the next-generation mt-sDNA test demonstrated promising CRC screening performance characteristics that will be further assessed in a prospective clinical validation study (BLUE-C; NCT04144738).

Indexed as

Algorithm ValidationColorectal CancerColorectal Cancer ScreeningStool Test

Identifiers

PMID39280922
PMCPMC11401593

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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.