Evidence map›Paper›PMID 29468422›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2018

Molecular profiling and comprehensive genome-wide analysis of somatic copy number alterations in gastric intramucosal neoplasias based on microsatellite status.

Tamotsu Sugai, Makoto Eizuka, Noriyuki Arakawa, Mitsumasa Osakabe, Wataru Habano, Yasuko Fujita, Eiichiro Yamamoto, Hiroo Yamano, Masaki Endoh, Takayuki Matsumoto and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. The molecular profile of gastric intraepithelial foveolar type neoplasia based on somatic copy number alterations and multiple mutation analysis.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Molecular Landscapes of Gastric Pre-Neoplastic and Pre-Invasive Lesions.International journal of molecular sciences · 2021
    Review
  7. Molecular alterations in gastric cancer and the surrounding intestinal metaplastic mucosa: an analysis of isolated glands.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2021
    Article
  8. Early Gastric Cancer: identification of molecular markers able to distinguish submucosa-penetrating lesions with different prognosis.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2021
    Article
  9. The clinicopathological and molecular features of sporadic gastric foveolar type neoplasia.Virchows Archiv : an international journal of pathology · 2020
    Article
  10. Article
  11. Article
  12. Article
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

11 authors at 2 institutions in 1 country.

Tamotsu SugaiDepartment of Molecular Diagnostic Pathology, School of Medicine, Iwate Medical University, 19-1, Uchimaru, Morioka, 020-8505, Japan. tsugai@iwate-med.ac.jp.
Makoto EizukaDepartment of Molecular Diagnostic Pathology, School of Medicine, Iwate Medical University, 19-1, Uchimaru, Morioka, 020-8505, Japan.
Noriyuki ArakawaDepartment of Molecular Diagnostic Pathology, School of Medicine, Iwate Medical University, 19-1, Uchimaru, Morioka, 020-8505, Japan.
Mitsumasa OsakabeDepartment of Molecular Diagnostic Pathology, School of Medicine, Iwate Medical University, 19-1, Uchimaru, Morioka, 020-8505, Japan.
Wataru HabanoDepartment of Pharmacodynamics and Molecular Genetics, School of Pharmacy, Iwate Medical University, 19-1, Uchimaru, Morioka, 020-8505, Japan.
Yasuko FujitaDepartment of Molecular Diagnostic Pathology, School of Medicine, Iwate Medical University, 19-1, Uchimaru, Morioka, 020-8505, Japan.
Eiichiro YamamotoDepartment of Molecular Biology, Sapporo Medical University, School of Medicine, Cyuuouku, Sapporo, 060-0061, Japan.
Hiroo YamanoDepartment of Gastroenterology, Sapporo Medical University, School of Medicine, Cyuuouku, Sapporo, 060-0061, Japan.
Masaki EndohDivision of Gastroenterology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 19-1, Uchimaru, Morioka, 020-8505, Japan.
Takayuki MatsumotoDivision of Gastroenterology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 19-1, Uchimaru, Morioka, 020-8505, Japan.
Hiromu SuzukiDepartment of Molecular Biology, Sapporo Medical University, School of Medicine, Cyuuouku, Sapporo, 060-0061, Japan.
Iwate Medical University · JPSapporo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe attempted to identify the molecular profiles of gastric intramucosal neoplasia (IMN; low-grade dysplasia, LGD; high-grade dysplasia, HGD; intramucosal cancer, IMC) by assessing somatic copy number alterations (SCNAs) stratified by microsatellite status (microsatellite stable, MSS; microsatellite instable, MSI). Thus, microsatellite status was determined in 84 tumors with MSS status and 16 tumors with MSI status.

methodsOne hundred differentiated type IMNs were examined using SCNAs. In addition, genetic mutations (KRAS, BRAF, PIK3CA, and TP53) and DNA methylation status (low, intermediate and high) were also analyzed. Finally, we attempted to identify molecular profiles using a hierarchical clustering analysis.

resultsThree patterns could be categorized according to SCNAs in IMNs with the MSS phenotype: subgroups 1 and 2 showing a high frequency of SCNAs, and subgroup 3 displaying a low frequency of SCNAs (subgroup 1 > 2 > 3 for SCNA). Subgroup 1 could be distinguished from subgroup 2 by the numbers of total SCNAs (gains and losses) and SCN gains (subgroup 1 > 2). The SCNA pattern of LGD was different from that of HGD and IMC. Moreover, IMNs with the MSI phenotype could be categorized into two subtypes: high frequency of SCNAs and low frequency of SCNAs. Genetic mutations and DNA methylation status did not differ among subgroups in IMNs.

conclusionMolecular profiles stratified by SCNAs based on microsatellite status may be useful for elucidation of the mechanisms of early gastric carcinogenesis.

Indexed as

DNA Copy Number VariationsMicrosatellite RepeatsAgedAged, 80 and overClass I Phosphatidylinositol 3-KinasesCluster AnalysisDNA MethylationFemaleGastric MucosaGenome-Wide Association StudyHumansMaleMicrosatellite InstabilityMiddle AgedMutationProto-Oncogene Proteins B-rafBRAF protein, humanClass I Phosphatidylinositol 3-KinasesKRAS protein, humanPIK3CA protein, humanProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)TP53 protein, humanTumor Suppressor Protein p53Comprehensive genomic analysisCopy number alterationGastric intramucosal neoplasiaMicrosatellite instabilityMutation

Identifiers

PMID29468422
PMCPMC6097076
OpenAlexW2793950838

What OpenQuestion holds

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LicenceCC BY
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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.