Evidence map›Paper›PMID 34386520›Full record

ArticleFrontiers in molecular biosciences2021

Molecular Characterization of Advanced Colorectal Cancer Using Serum Proteomics and Metabolomics.

Jun Rao, Xianghui Wan, Fangfang Tou, Qinsi He, Aihua Xiong, Xinyi Chen, Wenhao Cui, Zhi Zheng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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 4 institutions in 2 countries.

Jun RaoJiangxi Cancer Hospital, Jiangxi Cancer Hospital of Nanchang University, Nanchang, China.
Xianghui WanJiangxi Cancer Hospital, Jiangxi Cancer Hospital of Nanchang University, Nanchang, China.
Fangfang TouJiangxi Cancer Hospital, Jiangxi Cancer Hospital of Nanchang University, Nanchang, China.
Qinsi HeJiangxi Cancer Hospital, Jiangxi Cancer Hospital of Nanchang University, Nanchang, China.
Aihua XiongJiangxi Cancer Hospital, Jiangxi Cancer Hospital of Nanchang University, Nanchang, China.
Xinyi ChenDepartment of Hematology and Oncology, Beijing University of Chinese Medicine, Beijing, China.
Wenhao CuiDepartment of Pharmacology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Zhi ZhengJiangxi Cancer Hospital, Jiangxi Cancer Hospital of Nanchang University, Nanchang, China.
Jiangxi Provincial Cancer Hospital · CNBeijing University of Chinese Medicine · CNKyoto Prefectural University of Medicine · JPNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is a growing public health concern due to its high mortality rate. Currently, there is a lack of valid diagnostic biomarkers and few therapeutic strategies are available for CRC treatment, especially for advanced CRC whose underlying pathogenic mechanisms remain poorly understood. In the present study, we investigated the serum samples from 20 patients with stage III or IV advanced CRC using data-independent acquisition (DIA)-based proteomics and ultra-performance liquid chromatography coupled to time-of-flight tandem mass spectrometry (UPLC-TOF-MS/MS) metabolomics techniques. Overall, 551 proteins and 719 metabolites were identified. Hierarchical clustering analysis revealed that the serum proteomes of advanced CRC are more diversified than the metabolomes. Ten biochemical pathways associated with cancer cell metabolism were enriched in the detected proteins and metabolites, including glycolysis/gluconeogenesis, biosynthesis of amino acids, glutathione metabolism, and arachidonic acid metabolism, etc. A protein-protein interaction network in advanced CRC serum was constructed with 80 proteins and 21 related metabolites. Correlation analysis revealed conserved roles of lipids and lipid-like molecules in a regulatory network of advanced CRC. Three metabolites (hydroquinone, leucenol and sphingomyelin) and two proteins (coagulation factor XIII A chain and plasma kallikrein) were selected to be potential biomarkers for advanced CRC, which are positively and significantly correlated with CEA and/or CA 19-9. Altogether, the results expanded our understanding of the physiopathology of advanced CRC and discovered novel potential biomarkers for further validation and application to improve the diagnosis and monitoring of advanced CRC.

Indexed as

biomarkercolorectal cancercorrelation analysisDIA-MSUPLC/Q-TOF-MS/MS

Identifiers

PMID34386520
PMCPMC8353147
OpenAlexW3168675040

What OpenQuestion holds

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LicenceCC BY
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.