Evidence map›Paper›PMID 27439755›Full record

ArticleJournal of translational medicine2016

Increased MACC1 levels in tissues and blood identify colon adenoma patients at high risk.

Hassan Ashktorab, Pia Hermann, Mehdi Nouraie, Babak Shokrani, Edward Lee, Tahmineh Haidary, Hassan Brim, Ulrike Stein

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 16 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

8 authors at 3 institutions in 2 countries.

Hassan AshktorabDepartment of Medicine and Cancer Center, Howard University, 2041 Georgia Avenue NW, Washington, DC, 20059, USA. hashktorab@howard.edu.
Pia HermannExperimental and Clinical Research Center, Charité University Medicine Berlin and Max-Delbrück-Center for Molecular Medicine, Robert-Rössle-Straße 10, 13125, Berlin, Germany.
Mehdi NouraieDepartment of Medicine and Cancer Center, Howard University, 2041 Georgia Avenue NW, Washington, DC, 20059, USA.
Babak ShokraniDepartment of Pathology, Howard University, 2041 Georgia Avenue NW, Washington, DC, 20059, USA.
Edward LeeDepartment of Pathology, Howard University, 2041 Georgia Avenue NW, Washington, DC, 20059, USA.
Tahmineh HaidaryDepartment of Medicine and Cancer Center, Howard University, 2041 Georgia Avenue NW, Washington, DC, 20059, USA.
Hassan BrimDepartment of Pathology, Howard University, 2041 Georgia Avenue NW, Washington, DC, 20059, USA. hbrim@howard.edu.
Ulrike SteinExperimental and Clinical Research Center, Charité University Medicine Berlin and Max-Delbrück-Center for Molecular Medicine, Robert-Rössle-Straße 10, 13125, Berlin, Germany. ustein@mdc-berlin.de.
Howard University · USCharité - Universitätsmedizin Berlin · DEDeutschen Konsortium für Translationale Krebsforschung · DE

Funding

PROTEOMICS CORE FACILITYG12MD007597 · NIMHD · HOWARD UNIVERSITY · PI SOUTHERLAND, WILLIAM M. · 2012 to 2018
$14.8M
NIMHD NIH HHS G12 MD007597
6 · The paper itself

Abstract

backgroundColorectal cancer is a preventable disease if caught at early stages. This disease is highly aggressive and has a higher incidence in African Americans. Several biomarkers and mutations of aggressive tumor behavior have been defined such as metastasis-associated in colon cancer 1 (MACC1) that was associated with metastasis in colorectal cancer patients. Here, we aim to assess colon tissue MACC1 protein and circulating MACC1 transcripts in colon preneoplastic and neoplastic African American patients.

methodsPatients' tissue samples (n = 143) have been arranged on three tissue microarrays for normal (n = 26), adenoma (n = 68) and cancer (n = 49) samples. Immunohistochemistry was used to detect MACC1 expression. Blood samples (n = 93) from normal (n = 45), hyperplastic (n = 15) and tubular adenoma (n = 33) patients were used to assess MACC1 transcripts using qRT-PCR. Distribution of continuous variables was tested between different diagnoses with Kruskal-Wallis test. Categorical variables were tested by Chi square test. We assessed the prognostic ability of IHC staining by calculating area under receiver operating characteristics curve (ROC) for adenoma and cancer separately. Differences between groups in terms of MACC1 transcript levels in plasma were calculated by using non-parametric (exact) Wilcoxon-Mann-Whitney tests. We performed all calculations with SPSS, version 21.

resultsIn patient tissues, there was a statistically significant difference in MACC1 expression in normal vs. adenoma samples (p = 0.004) and normal vs. cancer samples (p < 0.001). There was however no major difference in MACC1 expression between adenoma vs. cancer cases or tubular adenomas vs tubulovillous adenomas. The area under the curve for both normal vs. adenoma and normal vs. cancer cases were 70 and 67 %, respectively. MACC1 expression was not correlated to age, gender or anatomical sample location. In patient plasma, MACC1 transcripts in adenoma patients were significantly higher than in plasma from normal patients (p = 0.014). However, the difference between normal and hyperplastic plasma MACC1 transcripts was not statistically significant.

conclusionMetastasis-associated in colon cancer 1 is expressed at early stages of colorectal oncogenesis within the affected colonic tissue in this patient cohort. The plasma transcripts can be used to stratify African American patients at risk for potential malignant colonic lesions.

Indexed as

AdenomaAgedColorectal NeoplasmsDemographyFemaleGene Expression Regulation, NeoplasticHumansHyperplasiaImmunohistochemistryMaleMiddle AgedPrecancerous ConditionsRisk FactorsRNA, MessengerTissue Array AnalysisTrans-ActivatorsMACC1 protein, humanRNA, MessengerTrans-ActivatorsTranscription FactorsAdenomaColorectal cancerMACC1Prognosis

Identifiers

PMID27439755
PMCPMC4955242
OpenAlexW2495285156

What OpenQuestion holds

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LicenceCC BY
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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.