Evidence map›Paper›PMID 28881738›Full record

ArticleOncotarget2017

Expression analysis of microRNA as prognostic biomarkers in colorectal cancer.

Jie Yang, Dongling Ma, Andrew Fesler, Haiyan Zhai, Apisri Leamniramit, Wenzhe Li, Song Wu, Jingfang Ju

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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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.

Jie Yang *Department of Family, Population and Preventive Medicine, Stony Brook, NY 11794, USA.
Dongling Ma *The NMS Laboratory, Stony Brook University, Stony Brook, NY, 11794, USA.
Andrew Fesler *Translational Research Laboratory, Department of Pathology, Stony Brook University, Stony Brook, NY 11794, USA.
Haiyan ZhaiTranslational Research Laboratory, Department of Pathology, Stony Brook University, Stony Brook, NY 11794, USA.
Apisri LeamniramitThe NMS Laboratory, Stony Brook University, Stony Brook, NY, 11794, USA.
Wenzhe LiThe NMS Laboratory, Stony Brook University, Stony Brook, NY, 11794, USA.
Song WuDepartment of Applied Mathematics, Stony Brook University, Stony Brook, NY, 11794, USA.
Jingfang JuTranslational Research Laboratory, Department of Pathology, Stony Brook University, Stony Brook, NY 11794, USA.

Funding

Roles of miR-129 in colorecal cancerR01CA197098 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI JU, JINGFANG · 2016 to 2020
$1.8M
Molecular Mechanism of miR-140 in Colon CancerR01CA155019 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI JU, JINGFANG · 2011 to 2014
$1.5M
NCI NIH HHS R01 CA155019NCI NIH HHS R01 CA197098
6 · The paper itself

Abstract

microRNA (miRNA) based biomarkers have unique advantages due to their critical regulatory function, superior stability, and relatively small number compared to mRNAs. A number of miRNAs play key roles in colon cancer stem cell chemoresistance and have clinical potential as prognostic biomarkers. The purpose of this study is to systematically validate the prognostic potential of miRNAs in colorectal cancer. In this study, we validated the prognostic potential of a panel of miRNAs using 205 stage II, III, and IV colorectal cancer specimens by qRT-PCR analysis. We cross validated our results using The Cancer Genome Atlas (TCGA) database. Many of the miRNAs we investigated have been functionally validated to be important in contributing to chemoresistance to 5-fluorouracil (5-FU) based chemotherapy. We determined that miR-16 is the most consistent miRNA for expression normalization in colorectal cancer. We have validated several miRNAs (miR-15b, miR-215, miR-145, miR-192, let-7g) that are significantly associated with progression free survival (PFS) and/or overall survival (OS) of colorectal cancer patients independent of tumor stage and age at diagnosis. These 5 miRNAs are significantly associated with OS of colorectal cancer even after tumor location (left side vs. right side) is adjusted for. Furthermore, the prognostic value of let-7g for overall survival was independently validated using the RNA-Seq results from TCGA colorectal cancer database. These results, taken together, establish a solid foundation towards miRNA based precision management of colorectal cancer.

Indexed as

chemotherapycolorectal cancermicroRNAprognosis

Identifiers

PMID28881738
PMCPMC5581037

What OpenQuestion holds

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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.