ArticleVirchows Archiv : an international journal of pathology2020
EGFR mutation genotyping and ALK status determination in liquid-based cytology samples of non-small cell lung cancer.
Article in Virchows Archiv : an international journal of pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 17 citations in OpenAlex.
- Guidelines for Handling of Cytological Specimens in Cancer Genomic Medicine.Pathobiology : journal of immunopathology, molecular and cellular biology · 2023Review
- Review
- Case Report: Treatment of Alectinib in NSCLC With Brain Metastasis Patient Refractory to Radiotherapy After Resistance to Crizotinib.Frontiers in oncology · 2021Article
- Survival of Lung Cancer Patients Dependent on the LOH Status forInternational journal of molecular sciences · 2020Article
- Evaluation of liquid based cytology in detection of EGFR mutation in NSCLC by large samples.Journal of thoracic disease · 2020Article
- Methodological and TNM Focus-Based Comparison of EGFR Mutation Status in Non-Small-Cell Lung Carcinomas.Journal of cytologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Personalised medicine for primary lung cancers (PLCs) requires molecular analysis of cancer tissue or cells. The primary objective of the present prospective study was to assess the concordance between epidermal growth factor receptor (EGFR) gene mutation detection and echinoderm microtubule-associated protein-like (EML) 4-anaplastic lymphoma kinase protein (ALK) expression using liquid-based cytology (LBC) samples and matched histology samples of PLC patients. A total of 117 patients who underwent surgical resection of non-small cell PLC were enrolled. Cytological specimens scratched from the resected PLC lesion were fixed in CytoRich Red. DNA extracted from LBC samples was examined for EGFR gene mutations. Anaplastic lymphoma kinase arrangement was analysed by immunostaining and fluorescence in situ hybridisation. Our patient cohort comprised 93 cases of adenocarcinoma, 16 squamous cell carcinoma, three adenosquamous carcinoma, two large cell neuroendocrine carcinoma, one pleomorphic carcinoma and two other cases. Sixty-six (58.4%) LBC samples harboured EGFR gene mutations. The overall concordance rate in EGFR gene mutation status, including minor mutations, between histologic and paired LBC specimens (N = 105) was 100%. The overall concordance rate of EGFR gene mutation status, including minor mutations and ALK status according to immunostains between histologic and paired LBC specimens, was 100% (105/105) and 100% (48/48), respectively. Genotyping and protein expression studies can be reliably performed using LBC samples prepared with CytoRich Red. Analysis of such samples may guide individual therapy in PLC patients.
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.