Evidence map›Paper›PMID 34655611›Full record

ArticleHuman pathology2022

Validation of genetic classifiers derived from mouse and human tumors to identify molecular subtypes of colorectal cancer.

Santina M Snow, Kristina A Matkowskyj, Morgan Maresh, Linda Clipson, Tien N Vo, Katherine A Johnson, Dustin A Deming, Michael A Newton, William M Grady, Perry J Pickhardt and 1 more

Abstract readComparative StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Human pathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Santina M SnowDepartment of Oncology, University of Wisconsin, Madison, WI, 53705, USA.
Kristina A MatkowskyjCarbone Cancer Center, University of Wisconsin, Madison, WI, 53705, USA; Department of Pathology and Laboratory Medicine, University of Wisconsin, Madison, WI, 53705, USA; William S. Middleton VA Medical Center, Madison, WI, 53705, USA.
Morgan MareshDepartment of Oncology, University of Wisconsin, Madison, WI, 53705, USA.
Linda ClipsonDepartment of Oncology, University of Wisconsin, Madison, WI, 53705, USA.
Tien N VoDepartment of Statistics, University of Wisconsin, Madison, WI, 53706, USA; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, 53792, USA.
Katherine A JohnsonDepartment of Oncology, University of Wisconsin, Madison, WI, 53705, USA.
Dustin A DemingDepartment of Oncology, University of Wisconsin, Madison, WI, 53705, USA; Carbone Cancer Center, University of Wisconsin, Madison, WI, 53705, USA; Division of Hematology, Medical Oncology, and Palliative Care, Department of Medicine, University of Wisconsin, Madison, WI, 53705, USA.
Michael A NewtonDepartment of Statistics, University of Wisconsin, Madison, WI, 53706, USA; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, 53792, USA.
William M GradyClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA; Department of Internal Medicine, University of Washington School of Medicine, Seattle, WA, 98195, USA.
Perry J PickhardtDepartment of Radiology, University of Wisconsin, Madison, WI, 53705, USA.
Richard B HalbergCarbone Cancer Center, University of Wisconsin, Madison, WI, 53705, USA; Division of Gastroenterology and Hepatology, Department of Medicine, University of Wisconsin, Madison, WI, 53705, USA. Electronic address: richard.halberg@wisc.edu.

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
Training in Cancer Biology Training GrantT32CA009135 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI SUGDEN, WILLIAM M. · 1985 to 2024
$10.4M
(PQ6) Radiogenomics of colorectal polyps to assess benign proliferative vs. premalignant states.R01CA220004 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GRADY, WILLIAM MALLORY, HALBERG, RICHARD BROTT · 2017 to 2021
$3.2M
(PQC1) Accelerated biological aging and colon polyp to cancer progressionR01CA194663 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GRADY, WILLIAM MALLORY · 2015 to 2018
$1.6M
NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA194663NCI NIH HHS R01 CA220004NCI NIH HHS T32 CA009135
6 · The paper itself

Abstract

Colorectal cancer (CRC) is a leading cause of cancer death in the United States. Standard treatment for advanced-stage CRC for decades has included 5-fluorouracil-based chemotherapy. More recently, targeted therapies for metastatic CRC are being used based on the individual cancer's molecular profile. In the past few years, several different molecular subtype schemes for human CRC have been developed. The molecular subtypes can be distinguished by gene expression signatures and have the potential to be used to guide treatment decisions. However, many subtyping classification methods were developed using mRNA expression levels of hundreds to thousands of genes, making them impractical for clinical use. In this study, we assessed whether an immunohistochemical approach could be used for molecular subtyping of CRCs. We validated two previously published, independent sets of immunohistochemistry classifiers and modified the published methods to improve the accuracy of the scoring methods. In addition, we evaluated whether protein and genetic signatures identified originally in the mouse were linked to clinical outcomes of patients with CRC. We found that low DDAH1 or low GAL3ST2 protein levels in human CRCs correlate with poor patient outcomes. The results of this study have the potential to impact methods for determining the prognosis and therapy selection for patients with CRC.

Indexed as

ImmunohistochemistryAdenocarcinomaAgedAmidohydrolasesAnimalsBiomarkers, TumorColorectal NeoplasmsFemaleGenes, APCHumansMaleMice, TransgenicMiddle AgedPredictive Value of TestsPrognosisReproducibility of ResultsAmidohydrolasesBiomarkers, TumordimethylargininaseGAL3ST2 protein, humanSulfotransferasesColorectal cancerConsensus molecular subtypesImmunohistochemistryNovel biomarkersPatient outcome

Identifiers

PMID34655611
PMCPMC9936405

What OpenQuestion holds

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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.