SynthesisZhongguo fei ai za zhi = Chinese journal of lung cancer2016
[Value of Immunohistochemical Methods in Detecting EML4-ALK Fusion Mutations: A Meta-analysis].
Synthesis in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- A Systematic Review of Companion Diagnostic Tests by Immunohistochemistry for the Screening of Alectinib-Treated Patients in ALK-Positive Non-Small Cell Lung Cancer.Diagnostics (Basel, Switzerland) · 2022Review
- [Association between the ALK Gene Status and the Efficacy of First-line Pemetrexed Chemotherapy in Patients with Advanced Lung Adenocarcinoma].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2017Article
- [Clinical Advanced in Early-stage ALK-positive Non-small Cell Lung Cancer Patients].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveThe fusion between echinoderm microtubule-associated protein 4 (EML4) and anaplastic lymphatic tumor kinase (ALK) rearrangement is present in approximately 5% of non-small cell lung cancer (NSCLC) patients. It has been regarded as another new target gene after epidermal growth factor receptor (EGFR) and K-ras. Figures showed that the disease control rate could reach up to 80% in NSCLC patients with EML4-ALK fusion gene after treated with ALK inhibitors. Thus, exploring an accurate and rapid detecting method is the key in screening NSCLC patients with EML4-ALK expressions. The aim of this study is to analyze the specificity and sensitivity of IHC in detecting EML4-ALK fusion mutations. To evaluate the accuracy and clinical value of this method, and then provide basis for individual molecular therapy of NSCLC patients.
methodsUsing Pubmed database to search all documents required. The deadline of retrieval was February 25, 2015. Then further screening the articles according to the inclusion and exclusion criteria. Using diagnostic test meta-analysis methods to analyze the sensitivity and specificity of the immunohistochemistry (IHC) method compared with fluorescence in situ hybridization (FISH) method.
resultsEleven literatures were added into the meta analysis, there were 3,234 of total cases. The diagnostic odds ratio (DOR) was 1,135.00 (95%CI: 337.10-3,821.46); the area under curve (AUC) of summary receiver operating characteristic curve (SROC) curve was 0.992,3 (SEAUC=0.003,2), the Q* was 0.964,4 (SEQ*=0.008,7).
conclusionsImmunohistochemical detection of EML4-ALK fusion gene mutation with specific antibody is feasible. It has high sensitivity and specificity. IHC can be a simple and rapid way in screening EML4-ALK fusion gene mutation and exhibits important clinical values.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.