Aviara MGISM - Molecular Grade Index
Molecular Tumor Grading to Improve Breast Cancer Management
AviaraDx has developed a 5-gene expression
index used to stratify breast cancer patients into
low or high risk of recurrence.
- MGI – allows quantitative and objective
molecular assessment of tumor grade and
proliferation rate.
- MGI – discriminates between tumor grades
1 and 3 and reclassifies grade 2 tumors into
two distinct groups1:
— Low MGI – low risk of recurrence,
Grade 1-like
— High MGI – high risk of recurrence,
Grade 3-like
MGI is prognostic for estrogen receptor (ER)
positive patients regardless of nodal status.1 The
five genes of MGI are preferentially expressed in4:
- High grade > low grade tumors.
- Invasive tumors > ductal carcinoma in
situ (DCIS).
- Different phases and processes of the
cell cycle.
MGI is significantly associated with Pathological Complete Response (pCR) from chemotherapy5
- High MGI is significantly associated with a
pCR in
ER+ tumors. (P=0.0053)
- Approximately 20% of high MGI tumors
had a pCR.
- No tumors with a low MGI (~55%) had a pCR.
- MGI indicates which tumors will have a
likelihood to be either sensitive or resistant
to chemotherapy.
Clinical Validations
Collaborative studies validating clinical utility of
the MGI have been completed and published in
peer reviewed scientific journals:
- Harvard Medical School/MGH, Boston, MA.1
Sample and Technical Information
- Real-time RT-PCR assay.
- Compatible with formalin-fixed paraffin
embedded samples.
- Patent pending.
View MGI Publications
Click here for Understanding MGI and Tumor Grading
References:
1 Ma X-J, Salunga R, Dahiya S, et al: A five-gene molecular grade index and
HOXB13:IL17BR are complementary prognostic factors in early stage breast
cancer. Clin Cancer Res. 14(9); 2601-2608, May, 2008.
2 Cianfrocca M, Goldstein LJ: Prognostic and predictive factors in early-stage
breast cancer. Oncologist, 9:606-616, 2004
3 Schnitt SJ. Traditional and newer pathologic features. J Natl Cancer Inst Monogr.,
22-26, 2001
4 Whitfield ML, Sherlock G, Saldanha AJ, et al. Identification of genes periodically
expressed in the human cell cycle and their expression in tumors. Mol Biol Cell.,
13:1977-2000. 2002. Also http://genome-www.stanford.edu/Human-
CellCycle/Hela/index.shtml
5 Raw data from Hess KR, Anderson K, Symmans WF, et al. Pharmacogenomic
predictor of sensitivity to preoperative chemotherapy with paclitaxel and
fluorouracil, doxorubicin, and cyclophosphamide in breast cancer. J Clin Oncol.,
24:4236-4244, 2006
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