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High-throughput molecular genotyping for small biopsy samples in advanced non-small cell lung cancer patients.
- Source :
-
Anticancer research [Anticancer Res] 2013 Nov; Vol. 33 (11), pp. 5127-33. - Publication Year :
- 2013
-
Abstract
- Background: Despite the key role of mutational analysis in targeted therapy, the difficulty in acquisition of adequate tumor tissues for molecular genotyping in advanced non-small cell lung cancer (NSCLC) has led to the need for a fast and efficient method for detecting genetic alterations for targeted therapy.<br />Patients and Methods: We analyzed tissue specimens of advanced NSCLC. A mass spectrometry-based assay was used to investigate 471 oncogenic mutations. All tumor specimens were prepared from fresh-frozen tissues.<br />Results: In total, there were 59 hotspot mutations in 67% of the entire patient group (41 out of 61 patients). The most frequent mutation was in TP53 (n=24, 39.3%), followed by EFGR (n=19, 31.1%). Others included MLH1, KRAS, PIK3CA, ERBB2, ABL1 and HRAS.<br />Conclusion: Our results suggest that molecular genotyping using high-throughput technology such as OncoMap v4 is feasible, even with small biopsied specimens from patients with advanced NSCLC.
- Subjects :
- Adenocarcinoma mortality
Adenocarcinoma therapy
Adult
Aged
Aged, 80 and over
Carcinoma, Non-Small-Cell Lung mortality
Carcinoma, Non-Small-Cell Lung therapy
Carcinoma, Squamous Cell mortality
Carcinoma, Squamous Cell therapy
DNA Mutational Analysis
Female
Follow-Up Studies
Genotype
High-Throughput Screening Assays
Humans
Lung Neoplasms mortality
Lung Neoplasms therapy
Male
Middle Aged
Neoplasm Recurrence, Local mortality
Neoplasm Recurrence, Local therapy
Neoplasm Staging
Prognosis
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Survival Rate
Adenocarcinoma genetics
Biomarkers, Tumor genetics
Carcinoma, Non-Small-Cell Lung genetics
Carcinoma, Squamous Cell genetics
Lung Neoplasms genetics
Mutation genetics
Neoplasm Recurrence, Local genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1791-7530
- Volume :
- 33
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- Anticancer research
- Publication Type :
- Academic Journal
- Accession number :
- 24222160