Evidence map›Paper›PMID 32219586›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2020

Metabolomic profiling of gastric cancer tissues identified potential biomarkers for predicting peritoneal recurrence.

Sanae Kaji, Tomoyuki Irino, Masatoshi Kusuhara, Rie Makuuchi, Yushi Yamakawa, Masanori Tokunaga, Yutaka Tanizawa, Etsuro Bando, Taiichi Kawamura, Kenjiro Kami and 6 more

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In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Targeted metabolomic profiling of gastric cancer biopsies.The Indian journal of medical research · 2026
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  16. Multiomics insights into BMI-related intratumoral microbiota in gastric cancer.Frontiers in cellular and infection microbiology · 2025
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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 3 institutions in 1 country.

Sanae KajiDivision of Gastric Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Tomoyuki IrinoDivision of Gastric Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Masatoshi KusuharaDivision of Gastric Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Rie MakuuchiDivision of Gastric Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Yushi YamakawaDivision of Gastric Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Masanori TokunagaDivision of Gastric Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Yutaka TanizawaDivision of Gastric Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Etsuro BandoDivision of Gastric Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Taiichi KawamuraDivision of Gastric Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
Kenjiro KamiHuman Metabolome Technologies, Inc, Tsuruoka, Yamagata, 997-0052, Japan.
Yoshiaki OhashiHuman Metabolome Technologies, Inc, Tsuruoka, Yamagata, 997-0052, Japan.
Shun ZhangDepartment of Gastroenterology and Minimally Invasive Surgery, Juntendo University Hospital, Bunkyo‑ku, Tokyo, 113-8431, Japan.
Hajime OritaDepartment of Gastroenterology and Minimally Invasive Surgery, Juntendo University Hospital, Bunkyo‑ku, Tokyo, 113-8431, Japan.
Hyeon-Cheol Lee-OkadaDepartment of Biochemistry, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, 113-8431, Japan.
Tetsu FukunagaDepartment of Gastroenterology and Minimally Invasive Surgery, Juntendo University Hospital, Bunkyo‑ku, Tokyo, 113-8431, Japan.
Masanori TerashimaDivision of Gastric Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan. m.terashima@scchr.jp.
Shizuoka Cancer Center · JPJuntendo University Hospital · JPJuntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolomics is useful for analyzing the nutrients necessary for cancer progression, as the proliferation is regulated by available nutrients. We studied the metabolomic profile of gastric cancer (GC) tissue to elucidate the associations between metabolism and recurrence.

methodsCancer and adjacent non-cancerous tissues were obtained in a pair-wise manner from 140 patients with GC who underwent gastrectomy. Frozen tissues were homogenized and analyzed by capillary electrophoresis time-of-flight mass spectrometry (CE-TOFMS). Metabolites were further assessed based on the presence or absence of recurrence.

resultsNinety-three metabolites were quantified. In cancer tissues, the lactate level was significantly higher and the adenylate energy charge was lower than in non-cancerous tissues. The Asp, β-Ala, GDP, and Gly levels were significantly lower in patients with recurrence than in those without. Based on ROC analyses to determine the cut-off values of the four metabolites, patients were categorized into groups at high risk and low risk of peritoneal recurrence. Logistic regression and Cox proportional hazard analyses identified β-Ala as an independent predictor of peritoneal recurrence (hazard ratio [HR] 5.21 [95% confidence interval 1.07-35.89], p = 0.029) and an independent prognostic factor for the overall survival (HR 3.44 [95% CI 1.65-7.14], p < 0.001).

conclusionsThe metabolomic profiles of cancer tissues differed from those of non-cancerous tissues. In addition, four metabolites were significantly associated with recurrence in GC. β-Ala was both a significant predictor of peritoneal recurrence and a prognostic factor.

Indexed as

MetabolomeAgedApoptosisBiomarkers, TumorCase-Control StudiesCell MovementCell ProliferationFemaleGastrectomyHumansMaleNeoplasm Recurrence, LocalPeritoneal NeoplasmsPrognosisStomach NeoplasmsSurvival RateBiomarkers, TumorBeta-alanineBiomarkersMetabolomicsRecurrenceStomach neoplasms

Identifiers

PMID32219586
OpenAlexW3013624312

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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.