Evidence map›Paper›PMID 28693197›Full record

ArticleOncology letters2017

Recent developments in predictive biomarkers of pediatric glioma.

Zhengwei Li, Yiyu Yin, Fengli Liu

Abstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Zhengwei LiDepartment of Pediatric Surgery, Xuzhou Children's Hospital, Xuzhou, Jiangsu 221002, P.R. China.
Yiyu YinDepartment of Pediatric Surgery, Xuzhou Children's Hospital, Xuzhou, Jiangsu 221002, P.R. China.
Fengli LiuDepartment of Pediatric Surgery, Xuzhou Children's Hospital, Xuzhou, Jiangsu 221002, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of certain cancer-related genetic and epigenetic alterations in the tumor affects patient response to specific cancer therapies. The accurate screening of these predictive biomarkers in molecular diagnostics is important since it enables the tailoring of optimal treatment based on molecular characteristics of the tumor. We searched the electronic database PubMed for preclinical as well as clinical controlled trials reporting on various multiple predictors of glioma. It was observed clearly that multiple approaches are evolving and a few of them have also shown promising results. Depending on the type of gene alteration, a wide variety of methods may be applied in biomarker testing. Among the novel methods is next-generation sequencing (NGS) technology, enabling simultaneous detection of multiple alterations. The aim of this review is to discuss the predictive or potentially predictive genetic and epigenetic alterations of diffuse gliomas. The review concludes that NGS technology is the future and may likely replace, at least to some extent, the current routinely used methods, including FISH, IHC, and PCR-based methods, in clinical diagnostics.

Indexed as

gliomasnext-generation sequencingpredictive markers

Identifiers

PMID28693197
PMCPMC5494731

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.