Evidence map›Paper›PMID 24488015›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2015

New molecular staging with G-factor supplements TNM classification in gastric cancer: a multicenter collaborative research by the Japan Society for Gastroenterological Carcinogenesis G-Project committee.

Tetsuji Sawada, Masakazu Yashiro, Kazuhiro Sentani, Naohide Oue, Wataru Yasui, Kohji Miyazaki, Keita Kai, Sachio Fushida, Takashi Fujimura, Masaichi Ohira and 8 more

Abstract readMulticenter Study
In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. The prognostic significance of p53 expression in gastric cancer: a meta-analysis.Journal of cancer research and clinical oncology · 2015
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  13. Expression ofTranslational cancer research · 2020
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  14. Prognostic Implications of Novel Gene Signatures in Gastric Cancer Microenvironment.Medical science monitor : international medical journal of experimental and clinical research · 2020
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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

18 authors.

Tetsuji SawadaDepartment of Surgical Oncology, Osaka City University Graduate School of Medicine, 1-4-3 Asahimachi, Abeno-ku, Osaka, 545-8585, Japan, t_sawada@osaka-ekisaikai.jp.
Masakazu Yashiro
Kazuhiro Sentani
Naohide Oue
Wataru Yasui
Kohji Miyazaki
Keita Kai
Sachio Fushida
Takashi Fujimura
Masaichi Ohira
Yoshihiro Kakeji
Shoji Natsugoe
Ken Shirabe
Sachiyo Nomura
Yutaka Shimada
Naohiro Tomita
Kosei Hirakawa
Yoshihiko Maehara

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe G-Project committee was erected by the Japan Society for Gastroenterological Carcinogenesis with an aim of establishing a new classification scheme based on molecular biological characteristics that would supplement the conventional TNM classification to better predict outcome.

methodsIn a literature search involving 822 articles on gastric cancer, eight molecules including p53, vascular endothelial growth factor (VEGF)-A, VEGF-C, matrix metalloproteinase-7 (MMP-7), human epidermal growth factor receptor 2, Regenerating islet-derived family, member 4, olfactomedin-4 and Claudin-18 were selected as candidates to be included in the new molecular classification scheme named G-factor. A total of 210 cases of gastric cancer who underwent curative R0 resection were registered from four independent facilities. Immunohistochemical staining for the aforementioned molecules was performed for the surgically resected specimens of the 210 cases to investigate the correlation between clinicopathological factors and expression of each molecule.

resultsNo significant correlation was observed between the immunostaining expression of any of the eight factors and postoperative recurrence. However, the expressions of p53 and MMP-7 were significantly correlated with overall survival (OS). When 210 gastric cancer patients were divided into three groups based on the expression of p53 and MMP-7 (G0 group: negative for both p53 and MMP-7, n = 69, G1 group: positive for either p53 or MMP-7, n = 97, G2 group: positive for both of the molecules, n = 44), G2 group demonstrated significantly higher recurrence rate (59%) compared to 38% in G0 (p = 0.047). The multivariate regression analysis revealed that G2 group was independently associated with a shorter disease-free survival (DFS) (hazard ratio 1.904, 95% CI 1.098-3.303; p = 0.022), although the association with OS was not significant. Stage II patients among the G2 group had significantly inferior prognosis both in terms of OS and DFS when compared with those among the G0/G1 group, with survival curves similar to those of Stage III cases.

conclusionsG-factor based on the expression of p53 and MMP-7 was found to be a promising factor to predict outcome of Stage II/III gastric cancer, and possibly to help select the treatment for Stage II cancer, thus supplementing the conventional TNM system.

Indexed as

Biomarkers, TumorClaudinsDisease-Free SurvivalErb-b2 Receptor Tyrosine KinasesFemaleHumansImmunohistochemistryJapanKaplan-Meier EstimateMaleMatrix Metalloproteinase 7Neoplasm StagingPrognosisSocieties, ScientificStomach NeoplasmsVascular Endothelial Growth Factor ABiomarkers, TumorClaudinsCLDN18 protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesMatrix Metalloproteinase 7MMP7 protein, humanVascular Endothelial Growth Factor AVascular Endothelial Growth Factor CVEGFA protein, human

Identifiers

PMID24488015
PMCPMC4257995

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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.