Of the 311 immunomolecular marker genes that we have been monitoring, we have identified 6-20 genes that serve as molecular indicators for cancerous condition
Using the hybrid expression of an array of these genes, we have developed an algorithm which can predictively indicate the distant occurrence of cancer in healthy individuals or relapse (in case of treated individuals)
The algorithm can also be extended to speculate the various stages of cancer (I, II, III, IV) based on the genetic mutation
The test requires an individual's peripheral blood sample
We have filed a US Patent for our diagnostic technology
1. Neoplasia / Abnormal clonal proliferation
2. Benign / malignant
Together these two let us know whether cancer is absent / present / imminent.
Secondly, The level of the HrC lets us know the stage of cancer.
Thirdly, organ level gene mutations together with HrC lets us know the site of the cancer.
Total number of enrollment (N=1000)
Non-cancer = 500
cancer = 500)
Type of Cancer | Number | Accuracy | |
---|---|---|---|
Non Cancer* |
498 |
||
High Risk* |
7 |
||
Stage I |
11 |
||
Stage II |
94 |
||
Stage III |
133 |
||
Stage IV |
257 |
||
Total |
1000 |
Type of Cancer | Number | Accuracy | |
---|---|---|---|
On Rx |
431 |
||
RO* |
21 |
||
Rx Naïve |
48 |
||
Total |
500 |
* 2 non cancer and 5 RO patients...