Evidence map›Paper›PMID 26342024›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2015

MAPRE1 as a plasma biomarker for early-stage colorectal cancer and adenomas.

Ayumu Taguchi, Jung-Hyun Rho, Qingxiang Yan, Yuzheng Zhang, Yang Zhao, Hanwen Xu, Satyendra Chandra Tripathi, Hong Wang, Dean E Brenner, Melanie Kucherlapati and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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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

17 authors at 2 institutions in 1 country.

Ayumu TaguchiDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas. ataguchi@mdanderson.org.
Jung-Hyun RhoTranslational Research Program, Human Biology and Public Health Sciences Divisions, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Qingxiang YanDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Yuzheng ZhangTranslational Research Program, Human Biology and Public Health Sciences Divisions, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Yang ZhaoDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Hanwen XuDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Satyendra Chandra TripathiDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Hong WangDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Dean E BrennerDepartment of Internal Medicine, University of Michigan Medical Center, Ann Arbor, Michigan. VA Medical Center, Ann Arbor, Michigan.
Melanie KucherlapatiDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
Raju KucherlapatiDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
Adam T BoutinDepartment of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Y Alan WangDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Ronald A DePinhoDepartment of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Ziding FengDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Paul D LampeTranslational Research Program, Human Biology and Public Health Sciences Divisions, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Samir M HanashDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas. Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Harvard University · USThe University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Affinity Based Strategies to Fast Track Development of Colon Cancer BiomarkersU01CA152746 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HANASH, SAMIR M, LAMPE, PAUL D. · 2010 to 2014
$3.1M
NCI NIH HHS U01 CA152746
6 · The paper itself

Abstract

Blood-based biomarkers for early detection of colorectal cancer could complement current approaches to colorectal cancer screening. We previously identified the APC-binding protein MAPRE1 as a potential colorectal cancer biomarker. Here, we undertook a case-control validation study to determine the performance of MAPRE1 in detecting early colorectal cancer and colon adenoma and to assess the potential relevance of additional biomarker candidates. We analyzed plasma samples from 60 patients with adenomas, 30 with early colorectal cancer, 30 with advanced colorectal cancer, and 60 healthy controls. MAPRE1 and a set of 21 proteins with potential biomarker utility were assayed using high-density antibody arrays, and carcinoembryonic antigen (CEA) was assayed using ELISA. The biologic significance of the candidate biomarkers was also assessed in colorectal cancer mouse models. Plasma MAPRE1 levels were significantly elevated in both patients with adenomas and patients with colorectal cancer compared with controls (P < 0.0001). MAPRE1 and CEA together yielded an area under the curve of 0.793 and a sensitivity of 0.400 at 95% specificity for differentiating early colorectal cancer from controls. Three other biomarkers (AK1, CLIC1, and SOD1) were significantly increased in both adenoma and early colorectal cancer patient plasma samples and in plasma from colorectal cancer mouse models at preclinical stages compared with controls. The combination of MAPRE1, CEA, and AK1 yielded sensitivities of 0.483 and 0.533 at 90% specificity and sensitivities of 0.350 and 0.467 at 95% specificity for differentiating adenoma and early colorectal cancer, respectively, from healthy controls. These findings suggest that MAPRE1 can contribute to the detection of early-stage colorectal cancer and adenomas together with other biomarkers.

Indexed as

AdenomaAdenylate KinaseAnimalsBiomarkers, TumorCarcinoembryonic AntigenCase-Control StudiesCell Line, TumorColorectal NeoplasmsEnzyme-Linked Immunosorbent AssayHumansMass SpectrometryMiceMicrotubule-Associated ProteinsReproducibility of ResultsROC CurveSensitivity and SpecificityAdenylate Kinaseadenylate kinase 1Biomarkers, TumorCarcinoembryonic AntigenMAPRE1 protein, humanMAPRE1 protein, mouseMicrotubule-Associated Proteins

Identifiers

PMID26342024
PMCPMC4633385
OpenAlexW1881380685

What OpenQuestion holds

Textmetadata
LicenceTDM
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.