Evidence map›Paper›PMID 36374529›Full record

ArticleJournal of the Chinese Medical Association : JCMA2023

The clinicopathological and genetic differences among gastric cancer patients with no recurrence, early recurrence, and late recurrence after curative surgery.

Meng-Chao Chen, Hsuan-Yu Su, Yen-Hao Su, Kuo-Hung Huang, Wen-Liang Fang, Chii-Wann Lin, Ming-Huang Chen, Yee Chao, Su-Shun Lo, Anna Fen-Yau Li and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Chinese Medical Association : JCMA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  6. One risk factor predicts another risk factor.Journal of the Chinese Medical Association : JCMA · 2023
    Article
  7. Can one outcome be used to predict the other outcome?Journal of the Chinese Medical Association : JCMA · 2023
    Article
  8. Reply to "Can one outcome be used to predict the other outcome?"Journal of the Chinese Medical Association : JCMA · 2023
    Article
  9. Article
  10. Molecular pathology-integrated clinicopathological prognostic factors.Journal of the Chinese Medical Association : JCMA · 2023
    Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Meng-Chao ChenDepartment of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, ROC.
Hsuan-Yu SuDivision of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Yen-Hao SuDepartment of Surgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, ROC.
Kuo-Hung HuangDivision of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Wen-Liang FangDivision of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Chii-Wann LinDepartment of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, ROC.
Ming-Huang ChenSchool of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Yee ChaoSchool of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Su-Shun LoSchool of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Anna Fen-Yau LiSchool of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Chew-Wun WuDivision of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Taipei Veterans General Hospital · TWNational Yang Ming Chiao Tung University · TWChina Medical University Hospital · TWNational Taiwan University · TWNational Yang Ming University Hospital · TWTaipei Medical University-Shuang Ho Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo date, few reports have investigated the genetic alterations and clinicopathological features among gastric cancer (GC) patients with no tumor recurrence, early recurrence, and late recurrence following curative surgery.

methodsA total of 473 GC patients undergoing curative surgery were included. The clinicopathological characteristics, patient prognosis, recurrence patterns, and genetic alterations were compared between GC patients with early recurrence and late recurrence.

resultsAmong the 473 GC patients, 119 had early recurrence (<2 years) and 45 had late recurrence (≥2 years). Patients with early recurrence had tumor size larger than 5 cm, fewer superficial-type tumors, more lymphovascular invasion, more advanced pathological T and N categories and Tumor, Node, Metastasis (TNM) stages, and worse 5-year overall survival than patients with late recurrence and no recurrence. For intestinal-type GC, patients with no tumor recurrence had more Helicobacter pylori infection than patients with early recurrence and late recurrence; for diffuse-type GC patients, the frequency of PIK3CA amplification was the highest in early recurrence, followed by late recurrence and no recurrence. GC patients with single-site recurrence had more ARID1A mutations than those with multiple-site recurrence. Multivariate analysis demonstrated that age, tumor recurrence, and pathological N categories were independent prognostic factors.

conclusionPIK3CA amplifications were more common in diffuse-type GC with early recurrence, whereas ARID1A mutations were more common in patients with single-site recurrence. Targeted therapy and immunotherapy might be helpful for these patients.

Indexed as

Helicobacter InfectionsHelicobacter pyloriStomach NeoplasmsClass I Phosphatidylinositol 3-KinasesHumansNeoplasm Recurrence, LocalNeoplasm StagingPrognosisRecurrenceRetrospective StudiesClass I Phosphatidylinositol 3-Kinases

Identifiers

PMID36374529
PMCPMC12755660
OpenAlexW4308959571

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.