Evidence map›Paper›PMID 27821646›Full record

ArticleGut2018

Protein and glycomic plasma markers for early detection of adenoma and colon cancer.

Jung-Hyun Rho, Jon J Ladd, Christopher I Li, John D Potter, Yuzheng Zhang, David Shelley, David Shibata, Domenico Coppola, Hiroyuki Yamada, Hidenori Toyoda and 5 more

Abstract read
In one paragraph

Article in Gut, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 4 pooled it
3.3field-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

41 citing papers in PubMed, 4 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Review
  8. Article
  9. A CMTM6 Nanobody Overcomes EGFR-TKI Resistance in Non-Small Cell Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Article
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  16. Article
  17. CD133 as a Biomarker for an Autoantibody-to-ImmunoPET Paradigm for the Early Detection of Small Cell Lung Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  18. Review
  19. Article
  20. 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

15 authors at 7 institutions in 3 countries.

Jung-Hyun RhoTranslational Research Program, Public Health Sciences Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Jon J LaddTranslational Research Program, Public Health Sciences Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Christopher I LiTranslational Research Program, Public Health Sciences Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
John D PotterTranslational Research Program, Public Health Sciences Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Yuzheng ZhangTranslational Research Program, Public Health Sciences Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
David ShelleyTranslational Research Program, Public Health Sciences Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
David ShibataUniversity of Tennessee Health Science Center, Memphis, Tennessee, USA.
Domenico CoppolaMoffitt Cancer Center, Tampa, Florida, USA.
Hiroyuki YamadaWako Life Sciences, Inc., Mountain View, California, USA.
Hidenori ToyodaDepartment of Gastroenterology, Ogaki Municipal Hospital, Gifu, Japan.
Toshifumi TadaDepartment of Gastroenterology, Ogaki Municipal Hospital, Gifu, Japan.
Takashi KumadaDepartment of Gastroenterology, Ogaki Municipal Hospital, Gifu, Japan.
Dean E BrennerGreat Lakes New England (GLNE) Clinical Validation Center of EDRN, University of Michigan Medical Center, Ann Arbor, Michigan, USA.
Samir M HanashDepartment of Clinical Cancer Prevention, Red and Charline McCombs Institute for the Early Detection and Treatment of Cancer, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Paul D LampeTranslational Research Program, Public Health Sciences Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Fred Hutch Cancer Center · USOgaki Municipal Hospital · JPMoffitt Cancer Center · USThe University of Texas MD Anderson Cancer Center · USUniversity of Michigan–Ann Arbor · USUniversity of Tennessee Health Science Center · USUniversity of Washington · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
Great Lakes/New England Clinical Validation CenterU01CA086400 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI RICCIARDIELLO, LUIGI, SYNGAL, SAPNA · 2000 to 2025
$26.0M
Fred Hutchinson Breast Cancer Clinical Validation CenterU01CA152637 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Christopher I Li, Savannah Corrina Partridge · 2010 to 2026
$14.6M
Translational Research in GI CancerP50CA130810 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRENNER, DEAN E. · 2010 to 2016
$11.8M
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 P30 CA076292NCI NIH HHS P50 CA130810NCI NIH HHS U01 CA086400NCI NIH HHS U01 CA152637NCI NIH HHS U01 CA152746
6 · The paper itself

Abstract

objectiveTo discover and confirm blood-based colon cancer early-detection markers.

designWe created a high-density antibody microarray to detect differences in protein levels in plasma from individuals diagnosed with colon cancer <3 years after blood was drawn (ie, prediagnostic) and cancer-free, matched controls. Potential markers were tested on plasma samples from people diagnosed with adenoma or cancer, compared with controls. Components of an optimal 5-marker panel were tested via immunoblotting using a third sample set, Luminex assay in a large fourth sample set and immunohistochemistry (IHC) on tissue microarrays.

resultsIn the prediagnostic samples, we found 78 significantly (t-test) increased proteins, 32 of which were confirmed in the diagnostic samples. From these 32, optimal 4-marker panels of BAG family molecular chaperone regulator 4 (BAG4), interleukin-6 receptor subunit beta (IL6ST), von Willebrand factor (VWF) and CD44 or epidermal growth factor receptor (EGFR) were established. Each panel member and the panels also showed increases in the diagnostic adenoma and cancer samples in independent third and fourth sample sets via immunoblot and Luminex, respectively. IHC results showed increased levels of BAG4, IL6ST and CD44 in adenoma and cancer tissues. Inclusion of EGFR and CD44 sialyl Lewis-A and Lewis-X content increased the panel performance. The protein/glycoprotein panel was statistically significantly higher in colon cancer samples, characterised by a range of area under the curves from 0.90 (95% CI 0.82 to 0.98) to 0.86 (95% CI 0.83 to 0.88), for the larger second and fourth sets, respectively.

conclusionsA panel including BAG4, IL6ST, VWF, EGFR and CD44 protein/glycomics performed well for detection of early stages of colon cancer and should be further examined in larger studies.

Indexed as

Adaptor Proteins, Signal TransducingAdenomaAdultAgedAged, 80 and overBiomarkers, TumorCA-19-9 AntigenCase-Control StudiesColonic NeoplasmsCytokine Receptor gp130Early Detection of CancerErbB ReceptorsFemaleHumansHyaluronan ReceptorsLewis X AntigenAdaptor Proteins, Signal TransducingBAG4 protein, humanBiomarkers, TumorCA-19-9 AntigenCD44 protein, humanCytokine Receptor gp130ErbB ReceptorsHyaluronan ReceptorsIL6ST protein, humanLewis X AntigenOligosaccharidesvon Willebrand FactorCOLORECTAL ADENOMASCOLORECTAL CANCERCOLORECTAL CANCER SCREENINGTUMOUR MARKERS

Identifiers

PMID27821646
PMCPMC5420499
OpenAlexW2552138686

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.