Evidence map›Paper›PMID 30003531›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2019

Molecular biomarkers for prognosis of gastrointestinal stromal tumor.

X Liu, K-M Chu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  14. Prognostic significance of MCM6 expression in gastrointestinal stromal tumor.International journal of clinical and experimental pathology · 2021
    Article
  15. Review
  16. Review
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  18. Article
  19. A Population-Based Study of the Incidence and Survival of Anorectal Gastrointestinal Stromal Tumor.Medical science monitor : international medical journal of experimental and clinical research · 2019
    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

2 authors.

X LiuDepartment of Surgery, The University of Hong Kong, Pokfulam, Hong Kong. melx1301@hku.hk.ORCID http://orcid.org/0000-0002-5795-2948
K-M ChuDepartment of Surgery, The University of Hong Kong, Pokfulam, Hong Kong. chukm@hku.hk.ORCID http://orcid.org/0000-0002-0332-4321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastrointestinal stromal tumor (GIST) is the most common mesenchymal tumor of the gastrointestinal tract. However, the development of molecular markers, especially circulating biomarkers, remains largely undone for the prognosis of GIST. We discussed the clinical-pathological characteristics of GIST and identified potential biomarkers for guidance of therapy and prognosis of GIST. Around 90% of GISTs contain mutations in KIT or PDGFRA and the remaining 10% of GISTs are wild-type. Recent studies have indicated that various DNAs and miRNAs could serve as potential biomarkers for prognosis of GIST, including KIT, PDGFRA, other DNAs (such as BRAF, SDH, SETD2 and ROR2), and microRNAs (miRNAs). The pressing need and challenges in the development of circulating prognostic biomarkers for GIST are also discussed. Although challenges remain, DNAs and miRNAs are promising circulating biomarkers for surveillance and prognosis of GIST. Advances in clarification of aberrant molecular alterations may open new avenues for exploration of reliable and robust biomarkers to improve the management of GIST.

Indexed as

Biomarkers, TumorGastrointestinal Stromal TumorsHumansPrognosisBiomarkers, TumorDNA markersGISTKITmiRNA markersPDGFRAPrognosis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.