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Aviara DX
 
 

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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