2016
DOI: 10.1016/j.lungcan.2016.09.007
|View full text |Cite
|
Sign up to set email alerts
|

Diagnostic algorithm for detection of targetable driver mutations in lung adenocarcinomas: Comprehensive analyses of 205 cases with immunohistochemistry, real-time PCR and fluorescence in situ hybridization methods

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 11 publications
(6 citation statements)
references
References 39 publications
0
6
0
Order By: Relevance
“…Real-time PCR was performed using the StepOnePlus™ Real-Time PCR System (Applied Biosystems). The mutation status of a sample was determined by using the parameter described previously [26]. Samples were considered as mutation positive if a specific sigmoid curve was observed with Ct of mutation reaction ≤37 and/or ΔCt value ≤7.…”
Section: Methodsmentioning
confidence: 99%
“…Real-time PCR was performed using the StepOnePlus™ Real-Time PCR System (Applied Biosystems). The mutation status of a sample was determined by using the parameter described previously [26]. Samples were considered as mutation positive if a specific sigmoid curve was observed with Ct of mutation reaction ≤37 and/or ΔCt value ≤7.…”
Section: Methodsmentioning
confidence: 99%
“…Data on patient demographics, clinicopathologic characteristics, and outcomes were collected retrospectively from medical records. EGFR mutation status was previously determined for lung adenocarcinomas in cohort B [ 25 ]. Overall survival (OS) was defined as the interval between the date of surgical resection and that of either death or last follow-up.…”
Section: Methodsmentioning
confidence: 99%
“…The increase in the number of therapeutic targets for detection on smaller and smaller samples has led to the development of algorithms for use with IHC in combination with MB techniques [ 8 , 45 , 107 , 108 ]. Irrespective of the algorithm they must integrate different parameters that can be modified from case to case.…”
Section: Which Algorithms? For Which Patients? For Which Samples?mentioning
confidence: 99%