scholarly journals Genomic Grade Index predicts postoperative clinical outcome of GIST

2012 ◽  
Vol 107 (8) ◽  
pp. 1433-1441 ◽  
Author(s):  
F Bertucci ◽  
P Finetti ◽  
J Ostrowski ◽  
W K Kim ◽  
H Kim ◽  
...  
Keyword(s):  
Clinical Outcome ◽  
Genomic Grade Index ◽  
Grade Index

scholarly journals The Genomic Grade Index predicts postoperative clinical outcome in patients with soft-tissue sarcoma

2018 ◽  
Vol 29 (2) ◽  
pp. 459-465 ◽  
Author(s):  
F. Bertucci ◽  
A. De Nonneville ◽  
P. Finetti ◽  
D. Perrot ◽  
M. Nilbert ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Clinical Outcome ◽  
Genomic Grade Index ◽  
Grade Index

Transforming genomic grade index (GGI) into a user-friendly qRT-PCR tool which will assist clinicians and patients in optimizing treatment of early breast cancer (BC)

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 21058-21058 ◽  
Author(s):  
V. Durbecq ◽  
J. Toussaint ◽  
B. Haibe-Kains ◽  
C. Desmedt ◽  
G. Rouas ◽  
...  
Keyword(s):  
Prognostic Value ◽  
Pcr Assay ◽  
Available N ◽  
Genomic Grade Index ◽  
Qrt Pcr ◽  
Ffpe Tumor ◽  
Er Positive ◽  
Ffpe Tissues ◽  
Grade Index ◽  
Reproducible Manner

21058 Background: We have recently shown that proliferation captured by the genomic grade index (GGI) is the most important prognostic factor in BC, far beyond estrogen receptor (ER) status and may encompass a significant portion of the predictive power of many previously published prognostic signatures. Furthermore, we have demonstrated that GGI can identify two clinically distinct ER-positive molecular subtypes in a simple and highly reproducible manner across multiple datasets. The aims of this study were to convert and validate by qRT-PCR assay the prognostic value of the GGI using frozen (FS) and paraffin-embedded tumor samples (FFPE) from early BC patients. Methods: We first developed a qRT-PCR assay based on 8 selected GGI genes involved in different phases of the cell cycle and 4 reference genes. We then tested its accuracy and concordance with the original microarray derived GGI using a BC population from which FS, FFPE tissues and microarray data were available (N=30). Finally, we assessed its prognostic value on an independent ER-positive tamoxifen only treated BC population (N=82). Results: A statistically significant correlation was observed between GGI generated by microarray and qRT-PCR assay using FS material (r=0.91; p<0.0001) as well as between GGI using qRT-PCR derived from FS and FFPE tumor samples (r=0.86; p<0.0001). A high GGI levels assessed by qRT-PCR (GGRI) was associated with a higher risk of recurrence in the ER-positive tamoxifen only treated patients [HR= 2.319 (95% CI: 1.245–4.321), p=0.008] in accordance with our previous microarray results. Interestingly, in a multivariate analysis, GGRI remained significant [HR=1.956 (95% CI: 1.031–3.710), p=0.04] together with age (<50y) and tumor size (>2cm). Conclusions: In this study, we report a qRT-PCR assay based on a limited number of genes, which recapitulates in an accurate and reproducible manner the prognostic power of the microarray derived GGI using both FS and FFPE tumor samples. Further validation of its prognostic value is currently ongoing on two independent populations totaling over 500 BC patients. No significant financial relationships to disclose.

Fine Tuning of the Van Nuys Prognostic Index (VNPI) 2003 by Integrating the Genomic Grade Index (GGI): New Tools for Ductal Carcinoma In Situ (DCIS)

2011 ◽  
Vol 17 (4) ◽  
pp. 343-351 ◽  
Author(s):  
Sevilay Altintas ◽  
Jerome Toussaint ◽  
Virginie Durbecq ◽  
Kathleen Lambein ◽  
Manon T. Huizing ◽  
...  
Keyword(s):  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Prognostic Index ◽  
Fine Tuning ◽  
Genomic Grade Index ◽  
Van Nuys Prognostic Index ◽  
Grade Index

scholarly journals Genomic Grade Index (GGI): Feasibility in Routine Practice and Impact on Treatment Decisions in Early Breast Cancer

PLoS ONE ◽  
2013 ◽  
Vol 8 (8) ◽  
pp. e66848 ◽  
Author(s):  
Otto Metzger-Filho ◽  
Aurélie Catteau ◽  
Stefan Michiels ◽  
Marc Buyse ◽  
Michail Ignatiadis ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Breast Cancer ◽  
Treatment Decisions ◽  
Routine Practice ◽  
Genomic Grade Index ◽  
Impact On Treatment ◽  
Grade Index
Sign in / Sign up

Export Citation Format

Share Document