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1.
Sci Rep ; 12(1): 1494, 2022 01 27.
Article in English | MEDLINE | ID: mdl-35087199

ABSTRACT

To implement precision oncology, analytical validity as well as clinical validity and utility are important. However, proficiency testing (PT) to assess validity has not yet been systematically performed in Japan. To investigate the quality of next-generation sequencing (NGS) platforms and cancer genome testing prevalent in laboratories, we performed pilot PT using patient samples. We prepared genomic DNA from the cancer tissue and peripheral blood of 5 cancer patients and distributed these to 15 laboratories. Most participating laboratories successfully identified the pathogenic variants, except for two closely located KRAS variants and 25 bp delins in EGFR. Conversely, the EGFR L858R variant was successfully identified, and the allele frequency was similar for all the laboratories. A high DNA integrity number led to excellent depth and reliable NGS results. By conducting this pilot study using patient samples, we were able to obtain a glimpse of the current status of cancer genome testing at participating laboratories. To enhance domestic cancer genome testing, it is important to conduct local PT and to involve the parties concerned as organizers and participants.


Subject(s)
Neoplasms
2.
Cancer Cell ; 7(4): 337-50, 2005 Apr.
Article in English | MEDLINE | ID: mdl-15837623

ABSTRACT

To predict the prognosis of neuroblastoma patients and choose a better therapeutic protocol, we developed a cDNA microarray carrying 5340 genes obtained from primary neuroblastomas and examined 136 tumor samples. We made a probabilistic output statistical classifier that provided a high accuracy in prognosis prediction (89% at 5 years) and a highly reliable method to validate it. Kaplan-Meier analysis indicated that the patients in an intermediate group defined by existing markers are divided by microarray into two further groups with 5 year survivals for 36% and 89% of patients (p < 10(-4)), i.e., with unfavorably and favorably predicted neuroblastomas, respectively. According to these results, we developed a gene subset chip for a clinical tool, for which our classifier exhibited 88% prediction accuracy.


Subject(s)
Gene Expression Profiling/methods , Neuroblastoma/diagnosis , Oligonucleotide Array Sequence Analysis/methods , Algorithms , Artificial Intelligence , Gene Expression Profiling/statistics & numerical data , Humans , Models, Statistical , Neoplasm Staging , Neoplasms/diagnosis , Neoplasms/genetics , Neuroblastoma/classification , Neuroblastoma/genetics , Oligonucleotide Array Sequence Analysis/statistics & numerical data , Prognosis , Reproducibility of Results , Sensitivity and Specificity , Survival Analysis
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