Evidence map›Paper›PMID 34527339›Full record

ArticleJournal of thoracic disease2021

Genomic alteration profiles of lung cancer and their relationship to clinical features and prognosis value using individualized genetic testing.

Fan Zhang, Junyan Wang, Minting Ma, Yu Xu, Xiangjun Lu, Suju Wei

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Fan ZhangDepartment of Oncology, The 4th Hospital of Hebei Medical University, Shijiazhuang, China.
Junyan WangDepartment of Oncology, The 4th Hospital of Hebei Medical University, Shijiazhuang, China.
Minting MaDepartment of Oncology, The 4th Hospital of Hebei Medical University, Shijiazhuang, China.
Yu XuDepartment of Oncology, The 4th Hospital of Hebei Medical University, Shijiazhuang, China.
Xiangjun LuDepartment of Oncology, The 4th Hospital of Hebei Medical University, Shijiazhuang, China.
Suju WeiDepartment of Oncology, The 4th Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to use a panel targeting 197 genes and 38 fusions to observe the features of gene variations in lung cancer patients, as well as their prognostic values.

methodsPatients admitted to our hospital between 2016 and 2017 were enrolled. All patients received OseqTM-Drug genetic testing using peripheral venous blood, followed by 1-2 years of observation.

resultsFor all included patients, 32 genes were observed with mutations. EGFR exhibited the highest mutation rate (46.5%), followed by TP53. The majority of patients carried only one mutant gene. Interestingly, 18 (41.8%) patients showed no mutations, and some cases carried mutations in six genes simultaneously. There was no statistical relationship between mutations and demographic influence. Pathological subtypes were associated with mutations including

conclusionsTogether, individualized genetic testing is a feasible and minimally invasive approach in cancer genetic analysis. However, gene mutation detection has a limited efficacy in the prediction of prognosis.

Indexed as

genomic DNAindividualized genetic testingLung cancermutationsequencing

Identifiers

PMID34527339
PMCPMC8411145

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.