Evidence map›Paper›PMID 35451698›Full record

ReviewJournal of cancer research and clinical oncology2022

Liquid biopsy: early and accurate diagnosis of brain tumor.

Zhenjie Yi, Chunrun Qu, Yu Zeng, Zhixiong Liu

Abstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Cell-Free miRNAs as Non-Invasive Biomarkers in Brain Tumors.Diagnostics (Basel, Switzerland) · 2023
    Review
  9. Review
  10. Article
  11. Review
  12. 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

4 authors.

Zhenjie YiDepartment of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan province, China.
Chunrun QuDepartment of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan province, China.
Yu ZengDepartment of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan province, China. zengyu@csu.edu.cn.ORCID http://orcid.org/0000-0003-4432-6443
Zhixiong LiuDepartment of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan province, China. zhixiongliu@csu.edu.cn.

Funding

Postdoctoral Research Foundation of China 2018M643006
6 · The paper itself

Abstract

Noninvasive examination is an emerging area in the field of neuro-oncology. Liquid biopsy captures the landscape of genomic alterations of brain tumors and revolutionizes the traditional diagnosis approaches. Rapidly changing sequencing technologies and more affordable prices put the screws on more application of liquid biopsy in clinical settings. In the past few years, extensive application of liquid biopsy has been seen throughout the whole diagnosis and treatment process of brain tumors, including early and accurate detection, characterization and dynamic monitoring. Here, we summarized and compared the most advanced techniques and target molecules or macrostructures related to brain tumor liquid biopsy. We further reviewed and emphasized recent progression in different clinical settings for brain tumors in blood and CSF. The preferred protocol, potential novel biomarkers and future development are discussed in the last part.

Indexed as

Brain NeoplasmsNeoplastic Cells, CirculatingBiomarkers, TumorGenomicsHumansLiquid BiopsyBiomarkers, TumorBrain metastasesCancer biomarkersGliomasLiquid biopsy

Identifiers

PMID35451698
PMCPMC11800921

What Socratic 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 Socratic graph.