Evidence map›Paper›PMID 24338275›Full record

ArticleMedical oncology (Northwood, London, England)2014

Prognostic value of mutational characteristics in gastrointestinal stromal tumors: a single-center experience in 275 cases.

Ming Wang, Jia Xu, Wenyi Zhao, Lin Tu, Weiqing Qiu, Chaojie Wang, Yangyin Shen, Qiang Liu, Hui Cao

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In one paragraph

Article in Medical oncology (Northwood, London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

16 citing papers in PubMed.

  1. Molecular Profiling ofCancers · 2024
    Article
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  3. Article
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  5. Article
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  7. Article
  8. Review
  9. Article
  10. Chinese consensus guidelines for diagnosis and management of gastrointestinal stromal tumor.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2017
    Article
  11. Article
  12. Article
  13. Observational
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  15. Article
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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

9 authors.

Ming WangDepartment of General Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, P.O. Box 200127, Shanghai, China.
Jia Xu
Wenyi Zhao
Lin Tu
Weiqing Qiu
Chaojie Wang
Yangyin Shen
Qiang Liu
Hui Cao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to investigate the impact of KIT/PDGFRA mutations on the prognosis of gastrointestinal stromal tumors (GISTs). In the present study, genotype analyses were performed based on GIST samples from 275 patients. The relationship between mutation and clinicopathological characteristics were explored. All factors were evaluated for their impacts on relapse-free survival (RFS). Briefly, the results of genotype analyses showed that mutations were identified in 258 (93.8 %) patients, and deletion was the most frequent type of mutation accounting for 47.3 % (122/258) of all mutation cases, followed by substitution (87/258, 33.7 %) and duplication (49/258, 19.0 %). Moreover, for KIT exon 11 mutation, the most frequently involved area was from codon 557 to 560. Deep analyses showed that the mutation types were correlated with tumor location (P = 0.005), tumor size (P = 0.022), mitosis rate (P < 0.001), risk grade (P < 0.001), and relapse (P = 0.004). Furthermore, delW557-K558 correlated with mitosis rate (P = 0.042) and relapse (P = 0.036), and delTyr568/570 correlated with tumor origin (P = 0.018). Most importantly, mitotic rate [HR = 2.901 (95 % CI 1.094-7.695), P = 0.032] and risk grade [HR = 9.629 (95 % CI 1.997-46.416), P = 0.005] would be the representative traditional prognostic factors, and deletion with >3 codons would be an novel independent predictor of poor outcome for RFS in GIST patients with deletion mutation of KIT exon 11 [HR = 7.970 (95 % CI 1.774-35.803), P = 0.007]. All results indicated that mutation determined clinicopathological features and prognosis of GISTs, and more than three codons involvement may be a novel adverse indicator.

Indexed as

DNA Mutational AnalysisAdultAgedAged, 80 and overCodonCohort StudiesDisease-Free SurvivalFemaleFollow-Up StudiesGastrointestinal Stromal TumorsGenotypeHumansMaleMiddle AgedMitosisNeoplasm Recurrence, LocalCodon

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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.