Evidence map›Paper›PMID 25525358›Full record

ArticleInternational journal of nanomedicine2014

Quantum dots immunofluorescence histochemical detection of EGFR gene mutations in the non-small cell lung cancers using mutation-specific antibodies.

Yan-Gang Qu, Qian Zhang, Qi Pan, Xian-Da Zhao, Yan-Hua Huang, Fu-Chun Chen, Hong-Lei Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Histochemistry for Molecular Imaging in Nanomedicine.International journal of molecular sciences · 2024
    Review
  3. Review
  4. Review
  5. Review
  6. Expression of Tiam1 and Rac1 proteins in renal cell carcinoma and its clinical-pathological features.International journal of clinical and experimental pathology · 2017
    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

7 authors at 3 institutions in 1 country.

Yan-Gang QuDepartment of Pathology, The Central Hospital of Enshi Autonomous Prefecture, Enshi, Hubei, People's Republic of China.
Qian ZhangDepartment of Molecular Pathology, Wuhan Nano Tumor Diagnosis Engineering Research Center, Wuhan, Hubei, People's Republic of China.
Qi PanDepartment of Thoracosurgery, Traditional Chinese Medical Hospital of Wenling, Wenling, Zhejiang, People's Republic of China.
Xian-Da ZhaoDepartment of Pathology, School of Basic Medical Science, Wuhan University, Wuhan, Hubei, People's Republic of China.
Yan-Hua HuangDepartment of Molecular Pathology, Wuhan Nano Tumor Diagnosis Engineering Research Center, Wuhan, Hubei, People's Republic of China.
Fu-Chun ChenDepartment of Thoracosurgery, Traditional Chinese Medical Hospital of Wenling, Wenling, Zhejiang, People's Republic of China.
Hong-Lei ChenDepartment of Pathology, School of Basic Medical Science, Wuhan University, Wuhan, Hubei, People's Republic of China.
Wuhan University · CNWenzhou Hospital of Traditional Chinese Medicine · CNThe Central Hospital of Enshi Tujia and Miao Autonomous Prefecture · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor (EGFR) mutation status plays an important role in therapeutic decision making for non-small cell lung cancer (NSCLC) patients. Since EGFR mutation-specific antibodies (E746-A750del and L858R) have been developed, EGFR mutation detection by immunohistochemistry (IHC) is a suitable screening test. On this basis, we want to establish a new screening test, quantum dots immunofluorescence histochemistry (QDs-IHC), to assess EGFR gene mutation in NSCLC tissues, and we compared it to traditional IHC and amplification refractory mutation system (ARMS). MATERIALS AND

methodsEGFR gene mutations were detected by QDs-IHC, IHC, and ADx-ARMS in 65 cases of NSCLC composed of 55 formalin-fixed, paraffin-embedded specimens and ten pleural effusion cell blocks, including 13 squamous cell carcinomas, two adenosquamous carcinomas, and 50 adenocarcinomas.

resultsPositive rates of EGFR gene mutations detected by QDs-IHC, IHC, and ADx-ARMS were 40.0%, 36.9%, and 46.2%, respectively, in 65 cases of NSCLC patients. The sensitivity of QDs-IHC when detecting EGFR mutations, as compared to ADx-ARMS, was 86.7% (26/30); the specificity for both antibodies was 100.0% (26/26). IHC sensitivity was 80.0% (24/30) and the specificity was 92.31% (24/26). When detecting EGFR mutations, QDs-IHC and ADx-ARMS had perfect consistency (κ  =0.882; P<0.01). Excellent agreement was observed between IHC and ADx-ARMS when detecting EGFR mutations (κ  =0.826; P<0.01).

conclusionQDs-IHC is a simple and standardized method to detect EGFR mutations with its high sensitivity and specificity, as compared with real-time polymerase chain reaction. In addition, the development of specific antibodies against EGFR mutation proteins might be useful for the diagnosis and treatment of lung cancer.

Indexed as

Quantum DotsAntibodies, MonoclonalCarcinoma, Non-Small-Cell LungErbB ReceptorsFluorescent Antibody TechniqueHumansLung NeoplasmsMutationReal-Time Polymerase Chain ReactionAntibodies, MonoclonalErbB ReceptorsEGFRgene mutationimmunohistochemistrylung cancerquantum dotsreal-time PCR

Identifiers

PMID25525358
PMCPMC4266265
OpenAlexW1981531674

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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.