Evidence map›Paper›PMID 29620244›Full record

ArticleMolecular medicine reports2018

EGFR mutations subset in Chinese lung squamous cell carcinoma patients.

Ying Sun, Xin Yin, Miao-Miao Wen, Jiao Zhang, Xue-Jiao Wang, Jing-Hua Xia, Yan-Ning Zhang, Zhi-Pei Zhang, Xiao-Fei Li

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. [Advances of Molecular Targeted Therapy in EGFR-mutated Squamous Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

9 authors at 1 institution in 1 country.

Ying SunDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, P.R. China.
Xin YinDepartment of Radiotherapy, Xianyang Hospital, Yanan University, Xianyang, Shaanxi 712000, P.R. China.
Miao-Miao WenDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, P.R. China.
Jiao ZhangDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, P.R. China.
Xue-Jiao WangDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, P.R. China.
Jing-Hua XiaDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, P.R. China.
Yan-Ning ZhangDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, P.R. China.
Zhi-Pei ZhangDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, P.R. China.
Xiao-Fei LiDepartment of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, P.R. China.
Air Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research has identified that epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) possess large benefits for adenocarcinoma (ADC), although little benefit for squamous cell carcinoma (SCC). The aim of the present study was to investigate the percentage of patients with SCC with the EGFR mutations subset and the benefits of EGFR TKIs in SCC. In the present study, the EGFR mutations subset was detected with an amplification refractory mutation system in 1,359 clinical SCC tissues. The association of the EGFR mutations subset with clinicopathological parameters was evaluated using the Mann‑Whitney U test, and Kruskal‑Wallis H. Kaplan‑Meier survival analysis was used to estimate the effect of the EGFR mutations subset on SCC patient survival rates. A total of 94 out of 1,359 SCC patients were identified as having EGFR mutations, an EGFR mutation rate of 6.92%. The EGFR mutations subset in the 94 cases was identified as follows: 37.2% (35/94) in exon 19; 39.4% (37/94) in L858R; 5.3% (5/94) in T790M; 4.3% (4/94) in G719X; 2.1% (2/94) in L861Q; and 11.7% (11/94) in other mutations. Kaplan‑Meier survival analysis identified that the differentiation, pathological tumor, node, metastasis stage, lymph node metastasis and distant metastases were significantly associated with patients' survival (P>0.05; log‑rank test), and no significant difference was observed between TKI therapy and chemotherapy in terms of patient survival rates (P>0.05). In addition, the overall discordant rate of the EGFR mutations subset in SCC patients was relatively low. Due to the non‑significant difference between TKI therapy and chemotherapy in terms of patient survival and the lower discordance rate of the EGFR mutations subset in SCC patients, EGFR TKIs could be a recommended treatment for SCC.

Indexed as

MutationAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Non-Small-Cell LungChinaErbB ReceptorsFemaleHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedNeoplasm GradingNeoplasm MetastasisBiomarkers, TumorErbB ReceptorsProtein Kinase Inhibitors

Identifiers

PMID29620244
PMCPMC5983943
OpenAlexW2795973050

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.