Abstract
Aims: EGFR and ALK analysis is routinely undertaken prior to targeted treatment of non-squamous non-small cell lung carcinoma (NSCLC). Increasingly limited resources require molecular pathology services to be cost effective without detriment to patient care.
Methods: Data from an audit of molecular pathology testing in the South East of Scotland Cancer network has been used to explore different testing strategies with the aim of reducing costs; including investigation of TTF1 expression as a negative predictor for EGFR mutations.
Results: TTF1 immunohistochemistry had a high negative predictive value for EGFR mutations (99%). Reflex testing all non-squamous NSCLC had the highest costs whereas limiting testing to those who might be considered for treatment would save 7.5%; the serial model could save 32.7%.
Conclusions: Testing only patients being considered for EGFR and ALK inhibitors represented small savings; more significant savings would be achievable if testing algorithms utilized known associations between clinical biomarkers.
Methods: Data from an audit of molecular pathology testing in the South East of Scotland Cancer network has been used to explore different testing strategies with the aim of reducing costs; including investigation of TTF1 expression as a negative predictor for EGFR mutations.
Results: TTF1 immunohistochemistry had a high negative predictive value for EGFR mutations (99%). Reflex testing all non-squamous NSCLC had the highest costs whereas limiting testing to those who might be considered for treatment would save 7.5%; the serial model could save 32.7%.
Conclusions: Testing only patients being considered for EGFR and ALK inhibitors represented small savings; more significant savings would be achievable if testing algorithms utilized known associations between clinical biomarkers.
| Original language | English |
|---|---|
| Pages (from-to) | 938-941 |
| Journal | Journal of Clinical Pathology |
| Volume | 69 |
| Issue number | 10 |
| Early online date | 7 Jul 2016 |
| DOIs | |
| Publication status | Published - Oct 2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Fingerprint
Dive into the research topics of 'Could molecular pathology testing in lung cancer be more cost effective?'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver