Evidence map›Paper›PMID 32612370›Full record

ArticleOncoTargets and therapy2020

Differential Metabolic Alterations and Biomarkers Between Gastric Cancer and Colorectal Cancer: A Systematic Review and Meta-Analysis.

Jingshen Tian, Weinan Xue, Huihui Yin, Nannan Zhang, Junde Zhou, Zhiping Long, Chengwei Wu, Zhengzi Liang, Kun Xie, Shuo Li and 6 more

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 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

16 authors at 2 institutions in 1 country.

Jingshen Tian *Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.
Weinan Xue *Department of Colorectal Surgery, The Tumor Hospital of Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.
Huihui YinDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.
Nannan ZhangDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.
Junde ZhouDepartment of Colorectal Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.
Zhiping LongDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.ORCID 0000-0002-2325-6477
Chengwei WuDepartment of Colorectal Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.
Zhengzi LiangDepartment of Colorectal Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, People's Republic of China.
Kun XieDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.ORCID 0000-0002-1408-9216
Shuo LiDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.
Liangliang LiDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.
Zhen WuDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.
Volontovich DariaDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.ORCID 0000-0002-7081-1576
Yashuang ZhaoDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.ORCID 0000-0002-7425-5773
Fan WangDepartment of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.ORCID 0000-0002-9869-9504
Maoqing WangNational Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, Heilongjiang Province, People's Republic of China.
Harbin Medical University · CNGuiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNumerous metabolomics studies have been conducted to detect the metabolic mechanisms and biomarkers related to gastric cancer and colorectal cancer. Because of the common metabolic features between gastric cancer and colorectal cancer, a differential diagnosis is difficult. Here, we performed a systematic review and meta-analysis to identify differential metabolic biomarkers between these two types of cancers. MATERIALS AND

methodsPubMed, Embase, and ScienceDirect were searched to identify all metabolomics studies of gastric cancer and colorectal cancer published up to September 2018. Differential metabolites or altered pathways were extracted. The intersections and differences for these metabolites and pathways between gastric cancer and colorectal cancer were compared. Candidate biomarker sets for diagnosis were proposed from biofluid or feces by comparing them with tumor tissues.

resultsTotally, 24 and 65 studies were included in gastric cancer and colorectal cancer, and 223 and 472 differential metabolites were extracted, respectively. Eight pathways were reproducibly enriched in blood, tissue and urine in gastric cancer, while, 11 pathways were reproducibly enriched in blood, urine, feces and tissue in colorectal cancer. Candidate metabolic biomarker sets in blood, urine, or feces for these two cancers were proposed. We found 27 pathways (categorized into eight classifications) common to both cancers, five pathways involving 35 metabolites enriched only in gastric cancer, and eight pathways involving 54 metabolites enriched only in colorectal cancer.

conclusionThe altered metabolic pathways showed signatures of abnormal metabolism in gastric cancer and colorectal cancer; the potential metabolic biomarkers proposed in this study have important implications for the prospective validation of gastric cancer and colorectal cancer.

Indexed as

colorectal cancergastric cancermetabolic biomarkermetabolomics study

Identifiers

PMID32612370
PMCPMC7323803
OpenAlexW3037058166

What OpenQuestion holds

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LicenceCC BY-NC
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.