Evidence map›Paper›PMID 29184444›Full record

ArticleClinical epidemiology2017

Development and validation of a panel of five proteins as blood biomarkers for early detection of colorectal cancer.

Hongda Chen, Jing Qian, Simone Werner, Katarina Cuk, Phillip Knebel, Hermann Brenner

Open access · goldAbstract read
In one paragraph

Article in Clinical epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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  18. An enrichment model using regular health examination data for early detection of colorectal cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2019
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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

6 authors at 2 institutions in 2 countries.

Hongda ChenDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Jing QianDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Simone WernerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Katarina CukDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Phillip KnebelDepartment of General, Visceral and Transplantation Surgery, University of Heidelberg.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
German Cancer Research Center · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveReliable noninvasive biomarkers for early detection of colorectal cancer (CRC) are highly desirable for efficient population-based screening with high adherence rates. We aimed to discover and validate blood-based protein markers for the early detection of CRC. PATIENTS AND

methodsA two-stage design with a discovery and a validation set was used. In the discovery phase, plasma levels of 92 protein markers and serum levels of TP53 autoantibody were measured in 226 clinically recruited CRC patients and 118 controls who were free of colorectal neoplasms at screening colonoscopy. An algorithm predicting the presence of CRC was derived by Lasso regression and validated in a validation set consisting of all available 41 patients with CRC and a representative sample of 106 participants with advanced adenomas and 107 controls free of neoplasm from a large screening colonoscopy cohort (N=6018). Receiver operating characteristic (ROC) analyses were conducted to evaluate the diagnostic performance of individual biomarkers and biomarker combinations.

resultsAn algorithm based on growth differentiation factor 15 (GDF-15), amphiregulin (AREG), Fas antigen ligand (FasL), Fms-related tyrosine kinase 3 ligand (Flt3L) and TP53 autoantibody was constructed. In the validation set, the areas under the curves of this five-marker algorithm were 0.82 (95% CI, 0.74-0.90) for detecting CRC and 0.60 (95% CI, 0.52-0.69) for detecting advanced adenomas. At cutoffs yielding 90% specificity, the sensitivities (95% CI) for detecting CRC and advanced adenomas were 56.4% (38.4%-71.8%) and 22.0% (13.4%-35.4%), respectively. The five-marker panel showed similar diagnostic efficacy for the detection of early- and late-stage CRC.

conclusionThe identified most promising biomarkers could contribute to the development of powerful blood-based tests for CRC screening in the future.

Indexed as

adenomaamphiregulincolorectal cancergrowth differentiation factor 15screening

Identifiers

PMID29184444
PMCPMC5672848
OpenAlexW2767182565

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.