Evidence map›Paper›PMID 32711494›Full record

ArticleBMC cancer2020

Detection of genes mutations in cerebrospinal fluid circulating tumor DNA from neoplastic meningitis patients using next generation sequencing.

Yue Zhao, Jun Ying He, Jun Zhao Cui, Zi-Qi Meng, Yue Li Zou, Xiao Su Guo, Xin Chen, Xueliang Wang, Li-Tian Yan, Wei Xin Han and 3 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Yue ZhaoDepartment of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, China.
Jun Ying HeDepartment of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, China.
Jun Zhao CuiDepartment of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, China.
Zi-Qi MengWenzhou Medical University, Wenzhou, China.
Yue Li ZouDepartment of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, China.
Xiao Su GuoDepartment of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, China.
Xin ChenDepartment of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, China.
Xueliang WangSan Valley Biotechnology Incorporated, Beijing, China.
Li-Tian YanDepartment of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, China.
Wei Xin HanDepartment of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, China.
Chunyan LiDepartment of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, China.
Li GuoDepartment of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, China.
Hui BuDepartment of Neurology, The Second Hospital of Hebei Medical University, 215 Heping West Road, Shijiazhuang, Hebei, China. buhuisci@163.com.ORCID http://orcid.org/0000-0001-6539-6219
Hebei Medical University · CNWenzhou Medical University · CN

Funding

Hospital level fund of the second hospital of Hebei medical university 2h2019019National Key Research and Development Program of China 2016YFC0904503
6 · The paper itself

Abstract

backgroundThis study profiled the somatic genes mutations and the copy number variations (CNVs) in cerebrospinal fluid (CSF)-circulating tumor DNA (ctDNA) from patients with neoplastic meningitis (NM).

methodsA total of 62 CSF ctDNA samples were collected from 58 NM patients for the next generation sequencing. The data were bioinformatically analyzed by (Database for Annotation, Visualization and Integrated Discovery) DAVID software.

resultsThe most common mutated gene was TP53 (54/62; 87.10%), followed by EGFR (44/62; 70.97%), PTEN (39/62; 62.90%), CDKN2A (32/62; 51.61%), APC (27/62: 43.55%), TET2 (27/62; 43.55%), GNAQ (18/62; 29.03%), NOTCH1 (17/62; 27.42%), VHL (17/62; 27.42%), FLT3 (16/62; 25.81%), PTCH1 (15/62; 24.19%), BRCA2 (13/62; 20.97%), KDR (10/62; 16.13%), KIT (9/62; 14.52%), MLH1 (9/62; 14.52%), ATM (8/62; 12.90%), CBL (8/62; 12.90%), and DNMT3A (7/62; 11.29%). The mutated genes were enriched in the PI3K-Akt signaling pathway by the KEGG pathway analysis. Furthermore, the CNVs of these genes were also identified in these 62 samples. The mutated genes in CSF samples receiving intrathecal chemotherapy and systemic therapy were enriched in the ERK1/2 signaling pathway.

conclusionsThis study identified genes mutations in all CSF ctDNA samples, indicating that these mutated genes may be acted as a kind of biomarker for diagnosis of NM, and these mutated genes may affect meningeal metastasis through PI3K-Akt signaling pathway.

Indexed as

DNA Copy Number VariationsHigh-Throughput Nucleotide SequencingMutationAcrylamidesAdultAgedAniline CompoundsAntineoplastic AgentsCirculating Tumor DNAClass I Phosphatidylinositol 3-KinasesCrown EthersFemaleGenes, erbB-1HumansIndolesKarnofsky Performance StatusAcrylamidesAniline CompoundsAntineoplastic AgentsCirculating Tumor DNAClass I Phosphatidylinositol 3-KinasesCrown EthersicotinibIndolesosimertinibPik3cd protein, mouseProto-Oncogene Proteins c-aktPyrimidinesQuinazolinesCancer-associated genes mutationsCerebrospinal fluid ctDNANeoplastic meningitisNext generation sequencingPI3K-Akt pathway

Identifiers

PMID32711494
PMCPMC7382072
OpenAlexW3044445669

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.