Evidence map›Paper›PMID 26485760›Full record

ArticleOncotarget2015

IDH1 mutation detection by droplet digital PCR in glioma.

Jing Wang, Yi-ying Zhao, Jian-feng Li, Cheng-cheng Guo, Fu-rong Chen, Hong-kai Su, Hua-fu Zhao, Ya-kang Long, Jian-yong Shao, Shing shun Tony To and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Molecular Biomarker Testing for the Diagnosis of Diffuse Gliomas.Archives of pathology & laboratory medicine · 2022
    Guideline
  2. Detection ofBiomolecules · 2021
    Trial
  3. Ultra-Fast IntraoperativeInternational journal of molecular sciences · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Liquid Biomarkers for Improved Diagnosis and Classification of CNS Tumors.International journal of molecular sciences · 2021
    Review
  11. Article
  12. Review
  13. Article
  14. OExperimental and therapeutic medicine · 2017
    Article
  15. Article
  16. 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

11 authors at 4 institutions in 2 countries.

Jing WangDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Yi-ying ZhaoDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Jian-feng LiDepartment of Neurosurgery, Affiliated Shantou Hospital of Sun Yat-Sen University, Shantou, China.
Cheng-cheng GuoDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Fu-rong ChenDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Hong-kai SuDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Hua-fu ZhaoDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.
Ya-kang LongDepartment of Molecular Diagnosis, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Jian-yong ShaoDepartment of Molecular Diagnosis, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Shing shun Tony ToDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.
Zhong-ping ChenDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
State Key Laboratory of Oncology in South ChinaSun Yat-sen University · CNHong Kong Polytechnic University · HKSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is the most frequent central nervous system tumor in adults. The overall survival of glioma patients is disappointing, mostly due to the poor prognosis of glioblastoma (Grade IV glioma). Isocitrate dehydrogenase (IDH) is a key factor in metabolism and catalyzes the oxidative decarboxylation of isocitrate. Mutations in IDH genes are observed in over 70% of low-grade gliomas and some cases of glioblastoma. As the most frequent mutation, IDH1(R132H) has been served as a predictive marker of glioma patients. The recently developed droplet digital PCR (ddPCR) technique generates a large amount of nanoliter-sized droplets, each of which carries out a PCR reaction on one template. Therefore, ddPCR provides high precision and absolute quantification of the nucleic acid target, with wide applications for both research and clinical diagnosis. In the current study, we collected 62 glioma tissue samples (Grade II to IV) and detected IDH1 mutations by Sanger direct sequencing, ddPCR, and quantitative real-time PCR (qRT-PCR). With the results from Sanger direct sequencing as the standard, the characteristics of ddPCR were compared with qRT-PCR. The data indicated that ddPCR was much more sensitive and much easier to interpret than qRT-PCR. Thus, we demonstrated that ddPCR is a reliable and sensitive method for screening the IDH mutation. Therefore, ddPCR is able to applied clinically in predicting patient prognosis and selecting effective therapeutic strategies. Our data also supported that the prognosis of Grade II and III glioma was better in patients with an IDH mutation than in those without mutation.

Indexed as

Mutation, MissenseAdolescentAdultAgedBiomarkers, TumorChildChild, PreschoolDNA Mutational AnalysisFemaleGliomaHumansIsocitrate DehydrogenaseMaleMiddle AgedNeoplasm GradingPolymerase Chain ReactionBiomarkers, TumorIDH1 protein, humanIsocitrate Dehydrogenasedroplet digital PCR (ddPCR)gliomaisocitrate dehydrogenase (IDH)quantitative real-time PCR (qRT-PCR)sensitivity

Identifiers

PMID26485760
PMCPMC4741852
OpenAlexW2233554087

What OpenQuestion holds

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LicenceCC BY
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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.