77173-3
LaboratoryHepatocyte growth factor receptor Ag [Presence] in Tissue by Immune stain
Definition
The stain is interpreted as positive if 50% or more of the tumor cells show moderate to strong (2+, 3+) membranous staining, indicating MET amplification. MET amplification (positive) has been seen in approximately 22% of non-small-cell lung cases with acquired resistance to anti-EGFR inhibitors. Recent Phase II clinical trails (OAM4558g) results were released at ASCO in 2011 showed that patients who were c-MET positive (2+ or 3+) lived twice as long without disease progression (PFS) when they received MetMAb therapy in combination with erlotinib versus receiving erlotinib alone.
LOINC 6-Axis Classification
Component
Hepatocyte growth factor receptor Ag
Property
PrThr
Time Aspect
Pt
System
Tiss
Scale Type
Ord
Method Type
Immune stain
Details
Class
PATH
Order/Observation
Both
Short Name
HGFR Ag Tiss Ql ImStn
Display Name
Hepatocyte growth factor receptor Ag Immune stain Ql (Tiss)
Related Names
Frequently Asked Questions
What is LOINC code 77173-3?
LOINC code 77173-3 identifies "Hepatocyte growth factor receptor Ag [Presence] in Tissue by Immune stain". The stain is interpreted as positive if 50% or more of the tumor cells show moderate to strong (2+, 3+) membranous staining, indicating MET amplification. MET amplification (positive) has been seen in approximately 22% of non-small-cell lung cases with acquired resistance to anti-EGFR inhibitors. Recent Phase II clinical trails (OAM4558g) results were released at ASCO in 2011 showed that patients who were c-MET positive (2+ or 3+) lived twice as long without disease progression (PFS) when they received MetMAb therapy in combination with erlotinib versus receiving erlotinib alone.
What does 77173-3 measure?
This code measures Hepatocyte growth factor receptor Ag in Tiss. It belongs to the PATH class in the LOINC classification.
What is LOINC?
LOINC (Logical Observation Identifiers Names and Codes) is a universal standard for identifying laboratory and clinical observations. It is maintained by the Regenstrief Institute and used worldwide for health data exchange.