Evidence map›Paper›PMID 31289671›Full record

ReviewMolecular and clinical oncology2019

Global serum metabolomics profiling of colorectal cancer.

Nurul Azmir Amir Hashim, Sharaniza Ab-Rahim, Leny Suzana Suddin, Mohd Shahril Ahmad Saman, Musalmah Mazlan

Open access · diamondAbstract readReview
In one paragraph

Review in Molecular and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.9field-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

35 citing papers in PubMed, 47 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

5 authors at 1 institution in 1 country.

Nurul Azmir Amir HashimFaculty of Medicine, Universiti Teknologi MARA, Cawangan Selangor, Sungai Buloh, Selangor 47000, Malaysia.
Sharaniza Ab-RahimFaculty of Medicine, Universiti Teknologi MARA, Cawangan Selangor, Sungai Buloh, Selangor 47000, Malaysia.
Leny Suzana SuddinFaculty of Medicine, Universiti Teknologi MARA, Cawangan Selangor, Sungai Buloh, Selangor 47000, Malaysia.
Mohd Shahril Ahmad SamanFaculty of Medicine, Universiti Teknologi MARA, Cawangan Selangor, Sungai Buloh, Selangor 47000, Malaysia.
Musalmah MazlanFaculty of Medicine, Universiti Teknologi MARA, Cawangan Selangor, Sungai Buloh, Selangor 47000, Malaysia.
Universiti Teknologi MARA · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate diagnosis of colorectal cancer (CRC) relies on the use of invasive tools such as colonoscopy and sigmoidoscopy. Non-invasive tools are less sensitive in detecting the disease, particularly in the early stage. A number of researchers have used metabolomics analyses on serum/plasma samples of patients with CRC compared with normal healthy individuals in an effort to identify biomarkers for CRC. The aim of the present review is to compare reported serum metabolomics profiles of CRC and to identify common metabolites affected among these studies. A literature search was performed to include any experimental studies on global metabolomics profile of CRC using serum/plasma samples published up to March 2018. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool was used to assess the quality of the studies reviewed. In total, nine studies were included. The studies used various analytical platforms and were performed on different populations. A pathway enrichment analysis was performed using the data from all the studies under review. The most affected pathways identified were protein biosynthesis, urea cycle, ammonia recycling, alanine metabolism, glutathione metabolism and citric acid cycle. The metabolomics analysis revealed levels of metabolites of glycolysis, tricarboxylic acid cycle, anaerobic respiration, protein, lipid and glutathione metabolism were significantly different between cancer and control samples. Although the majority of differentiating metabolites identified were different in the different studies, there were several metabolites that were common. These metabolites include pyruvic acid, glucose, lactic acid, malic acid, fumaric acid, 3-hydroxybutyric acid, tryptophan, phenylalanine, tyrosine, creatinine and ornithine. The consistent dysregulation of these metabolites among the different studies suggest the possibility of common diagnostic biomarkers for CRC.

Indexed as

biomarkerscolorectal cancermetabolomicspathwaysserum

Identifiers

PMID31289671
PMCPMC6535638
OpenAlexW2944491666

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.