Evidence map›Paper›PMID 29928422›Full record

ArticleOncology letters2018

Analyzing EGFR mutations and their association with clinicopathological characteristics and prognosis of patients with lung adenocarcinoma.

Xiuzhi Zhou, Li Cai, Junjie Liu, Xiaomin Hua, Ying Zhang, Huilin Zhao, Bin Wang, Boqing Li, Pengzhou Gai

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 14% 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, 25 citations in OpenAlex.

  1. Trial
  2. RELAY Subgroup Analyses by EGFR Ex19del and Ex21L858R Mutations for Ramucirumab Plus Erlotinib in Metastatic Non-Small Cell Lung Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Trial
  3. Review
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  13. International journal of general medicine · 2022
    Article
  14. Observational
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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

9 authors at 4 institutions in 1 country.

Xiuzhi ZhouDepartment of Microbiology, Qingdao University, Qingdao, Shandong 266071, P.R. China.
Li CaiDepartment of Pathology and Medicine, Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong 264000, P.R. China.
Junjie LiuSchool of Basic Medical Sciences, Binzhou Medical University, Yantai, Shandong 264003, P.R. China.
Xiaomin HuaDepartment of Microbiology, Qingdao University, Qingdao, Shandong 266071, P.R. China.
Ying ZhangSchool of Basic Medical Sciences, Binzhou Medical University, Yantai, Shandong 264003, P.R. China.
Huilin ZhaoSchool of Basic Medical Sciences, Binzhou Medical University, Yantai, Shandong 264003, P.R. China.
Bin WangDepartment of Microbiology, Qingdao University, Qingdao, Shandong 266071, P.R. China.
Boqing LiSchool of Basic Medical Sciences, Binzhou Medical University, Yantai, Shandong 264003, P.R. China.
Pengzhou GaiDepartment of Pathology and Medicine, Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong 264000, P.R. China.
Qingdao University · CNBinzhou Medical University · CNBinzhou University · CNYuhuangding Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) is an important gene in the development of lung adenocarcinoma. However, there is controversy regarding the association between EGFR mutations and survival time of patients with lung adenocarcinoma. In the present study, tissue specimens and clinical data were collected from 219 patients with lung adenocarcinoma who had not undergone prior radiotherapy or chemotherapy. EGFR mutations were detected using a fluorescence polymerase chain reaction method, and the association between EGFR mutations and clinicopathological characteristics was analyzed. Overall survival (OS) curves were constructed using the Kaplan-Meier method and the influence of clinicopathological characteristics on OS was analyzed using the Cox regression model. The EGFR mutation rate was 50.7%, and the most common mutations were the L858R substitution mutation in exon 21 (L858R; 54.9%) and the deletion mutation in exon 19 (19-Del; 36%). The presence of EGFR mutations varied significantly with sex, smoking history, T stage, vascular invasion and adenocarcinoma subtypes (P<0.05). The survival time was significantly longer for female, young (<60 years-old), non-smokers or patients exhibiting EGFR mutations (G719X, 19-Del, L858R and L861Q). The survival time was also significantly longer for patients with a 19-Del mutation, early stage tumors, tyrosine kinase inhibitors targeted therapy-treated patients, for those not exhibiting nerve or vascular invasion, and for those without disease recurrence (P<0.05). Multivariate analysis revealed that tumor pathological Tumor-Node-Metastasis (pTNM) stage, nerve invasion, vascular invasion, EGFR mutation and the 19-Del mutation were independent predictors (P<0.05). Therefore, tumor pTNM stage, nerve invasion, vascular invasion and EGFR mutation status, particularly that of 19-Del, were independent prognostic factors for patients with lung adenocarcinoma.

Indexed as

clinicopathological characteristicsepidermal growth factor receptorlung adenocarcinomamutationprognosistyrosine kinase inhibitors

Identifiers

PMID29928422
PMCPMC6006462
OpenAlexW2799524048

What OpenQuestion holds

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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.