Evidence map›Paper›PMID 29112225›Full record

ArticleCancer2018

Global and targeted circulating microRNA profiling of colorectal adenoma and colorectal cancer.

Jinhua Zhang, Gottumakkala S Raju, David W Chang, Shu-Hong Lin, Zhinan Chen, Xifeng Wu

Abstract read
In one paragraph

Article in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Review
  7. The Double-Edged Sword Property of Mesenchymal Stem Cell-Derived Exosomal microRNAs in Colorectal Cancer.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024
    Review
  8. Review
  9. Article
  10. The Role of Tumor Parenchymal and Stromal Ratios in Colorectal Cancer.Journal of family & reproductive health · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
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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

6 authors.

Jinhua ZhangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Gottumakkala S RajuDepartment of Gastroenterology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
David W ChangDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Shu-Hong LinDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Zhinan ChenCollege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing, China.
Xifeng WuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-5174-3769

Funding

Genetic Susceptibility Modifiers in Renal Cell CarcinomaR01CA098897 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WU, XIFENG · 2003 to 2007
$2.5M
NCI NIH HHS R01 CA098897
6 · The paper itself

Abstract

backgroundCirculating microRNAs (miRNAs) are emerging as promising biomarkers for cancer. The objective of the current study was to investigate the potential of circulating cell-free miRNAs as biomarkers for colorectal cancer (CRC) and its precursor lesion, colorectal adenoma.

methodsThe serum levels of 800 miRNAs were assessed in a discovery set of 21 patients with CRC, 19 patients with adenoma, and 21 healthy controls using the NanoString miRNA analysis platform. Significantly differentially expressed miRNAs were examined further in a validation cohort of 34 patients with CRC, 33 patients with adenoma, and 35 healthy controls using Fluidigm quantitative polymerase chain reaction assays.

resultsThe ratios between the expression values of the differentially expressed miRNAs were computed. Three miRNA ratios (miR-17-5p/miR-135b, miR-92a-3p/miR135b, and miR-451a/miR-491-5p) were validated for discriminating patients with adenoma and those with CRC from the healthy control group, and 5 miRNA ratios (let-7b/miR-367-3p, miR-130a-3p/miR-409-3p, miR-148-3p/miR-27b, miR-148a-3p/miR-409-3p, and miR-21-5p/miR-367-3p) were validated for discriminating patients with CRC from those with adenoma and healthy controls. The area under the receiver operating characteristic curve values for the 3 miRNA ratios in discriminating patients with adenoma from healthy controls were 0.831 and 0.735, respectively, in the discovery and validation sets. The area under the receiver operating characteristic curve values for the 5 miRNA ratios in discriminating patients with CRC from those with adenoma were 0.797 and 0.732, respectively, in the discovery and validation sets. Pathway analysis revealed that target genes regulated by the miRNAs from the miRNA ratios were enriched mainly in metabolism-related and inflammation-related pathways.

conclusionsThe data from the current study suggest that circulating miRNAs can distinguish patients with CRC and those with adenoma and may represent novel biomarkers for the early, noninvasive detection of CRC. Cancer 2018;124:785-96. © 2017 American Cancer Society.

Indexed as

Gene Expression Regulation, NeoplasticAdenomaAgedBiomarkers, TumorCirculating MicroRNACohort StudiesColorectal NeoplasmsDiagnosis, DifferentialFemaleGene Expression ProfilingHumansMaleMiddle AgedROC CurveBiomarkers, TumorCirculating MicroRNAbiomarkercirculating microRNA (miRNA)colorectal adenomacolorectal cancerearly detection

Identifiers

PMID29112225
PMCPMC5801195

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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.