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Determination of GP88 (progranulin) expression in breast tumor biopsies improves the risk predictive value of the Nottingham Prognostic Index
- Source :
- Diagnostic Pathology
- Publication Year :
- 2016
-
Abstract
- Background The Nottingham Prognostic Index (NPI), which combines numerical values for nodal status, tumor size and histological grade, is used in the standard of care to provide predictive value information on post-surgery survival for patients with primary breast cancer. Attempts to improve the performance of the NPI algorithm have been carried out by testing the inclusion of other biomarker expression and morphological features such as vascular invasion. In the present study, we investigated whether expression of the autocrine growth and survival factor GP88 (progranulin), known to be overexpressed in breast cancer, would improve NPI’s predictive value. Methods We examined by immunohistochemistry (IHC) the GP88 expression in 508 cases of estrogen receptor positive invasive ductal carcinoma with known clinical outcomes and for which NPI had been determined. GP88 IHC expression was scored by two board certified pathologists and classified into two score groups of GP88 5.4) and GP88 expression showed that for patients within the same NPI subgroup, patients having tumors with a high GP88 expression (GP88 IHC score of 3+) had a worse DFS than patients with tumors that had a low GP88 expression (GP88 IHC score
- Subjects :
- 0301 basic medicine
Pathology
GP88
Biopsy
Estrogen receptor
Kaplan-Meier Estimate
0302 clinical medicine
Progranulins
Breast
Stage (cooking)
10. No inequality
Aged, 80 and over
Hazard ratio
General Medicine
Middle Aged
Prognosis
Predictive value
Immunohistochemistry
humanities
3. Good health
Receptors, Estrogen
030220 oncology & carcinogenesis
Nottingham Prognostic Index
Biomarker (medicine)
Intercellular Signaling Peptides and Proteins
Female
Adult
medicine.medical_specialty
Progranulin
Histology
Breast Neoplasms
Prognostic
Pathology and Forensic Medicine
03 medical and health sciences
Young Adult
Breast cancer
Predictive Value of Tests
mental disorders
Breast Cancer
medicine
Biomarkers, Tumor
Humans
Aged
Proportional Hazards Models
Retrospective Studies
business.industry
Research
Biomarker
medicine.disease
030104 developmental biology
business
Subjects
Details
- ISSN :
- 17461596
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Diagnostic pathology
- Accession number :
- edsair.doi.dedup.....3b401742bd121f0702c818d2e9cf07b9