Evidence map›Paper›PMID 31620276›Full record

ArticleMolecular and clinical oncology2019

Detection of gene mutations in gastric cancer tissues using a commercial sequencing panel.

Tomoaki Ito, Ryo Matoba, Hiroshi Maekawa, Mutsumi Sakurada, Tomoyuki Kushida, Hajime Orita, Ryo Wada, Koichi Sato

Abstract read
In one paragraph

Article in Molecular and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Cervical carcinomas with serous-like papillary and micropapillary components: illustrating the heterogeneity of primary cervical carcinomas.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Article
  6. 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

8 authors.

Tomoaki ItoDepartment of Surgery, Juntendo University Shizuoka Hospital, Juntendo University School of Medicine, Shizuoka 410-2295, Japan.
Ryo MatobaDNA Chip Research Inc., Tokyo 105-0022, Japan.
Hiroshi MaekawaDepartment of Surgery, Juntendo University Shizuoka Hospital, Juntendo University School of Medicine, Shizuoka 410-2295, Japan.
Mutsumi SakuradaDepartment of Surgery, Juntendo University Shizuoka Hospital, Juntendo University School of Medicine, Shizuoka 410-2295, Japan.
Tomoyuki KushidaDepartment of Surgery, Juntendo University Shizuoka Hospital, Juntendo University School of Medicine, Shizuoka 410-2295, Japan.
Hajime OritaDepartment of Surgery, Juntendo University Shizuoka Hospital, Juntendo University School of Medicine, Shizuoka 410-2295, Japan.
Ryo WadaDepartment of Pathology, Juntendo University Shizuoka Hospital, Juntendo University School of Medicine, Shizuoka 410-2295, Japan.
Koichi SatoDepartment of Surgery, Juntendo University Shizuoka Hospital, Juntendo University School of Medicine, Shizuoka 410-2295, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting malignancy is important for adequate adjuvant therapy in patients with cancer. Due to cancer being a genetic disease, the detection of gene mutations could be helpful in predicting the prognosis and efficacy of drugs. Gastric cancer is the fifth most common cancer and is the third leading cause of cancer associated mortality worldwide. Mutations in genes may correlate with clinical information in patients with gastric cancer after surgery and, therefore, may be useful for predicting the prognosis of this disease. In the present study, to assess the usefulness of a commercial sequencing panel, TruSeq

Indexed as

adenomatous polyposis colicancer panelformalin-fixed paraffin-embeddedgastric cancermutationnext-generation sequencingsequencing paneltumor protein 53 function lossV-KI-RAS2 Kirsten rat sarcoma viral oncogene homolog

Identifiers

PMID31620276
PMCPMC6787944

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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.