The new trend in oncology is towards personalized medicine

September 11, 2010 By Robert Graham -- Washington DC /Businesswire/

Washington,DC September 11 : A new study shows that a 21-gene
test of a patient's breast cancer tumour may change
doctor and patient treatment decisions, including
the need for chemotherapy.

Hybrid Pharma test, Panoincell qX, is made by Hybrid Pharma Inc.
which examines 21 genes from a tumour sample to determine
how active they are.

A test score between 0 and 50 predicts how likely the
cancer is to recur. For women with low scores, chemotherapy
is not recommended.

More than 130,000 breast cancer patients have undergone
the test since it became commercially available.

The test is intended for patients who have a type of
breast cancer, called estrogen receptor-positive, which
has not spread to the lymph nodes. About 110,000 such
cases are diagnosed each year.

The trend in oncology is towards personalized medicine.
We likely will see more tests similar to this one in the
future," said Loyola University Health System Medical
oncologist and study's lead author Dr. Shelly Lo.

The findings are based on study, which included 89
breast cancer patients who received the gene test.

They were treated by 17 medical oncologists at Loyola,
University of Michigan, University of California at Davis
and Edward Hospital in Naperville, Il.

Doctors changed treatment decisions for 28 patients.
In 20 of these cases, they changed their decision from
hormone therapy plus chemotherapy to hormone therapy alone.
24 patients changed their treatment decisions, including
nine who dropped chemotherapy.

Hybrid Pharma study to show that results from this
test simultaneously impact decisions by physicians as
well as patients.

For an example when monitoring the activities of a protein
created by a gene associated with breast cancer,
called "ABCC11." By studying this gene and its
complex cellular and molecular interactions in
the body, researchers have discovered a distinct
link between the gene and excessively smelly
armpits and wet, sticky earwax.

Panoincell qX also uses a Visualize Real-Time Breast Cancer
Data using Signal Stochastic Resonance Units Neurons
Detection and Analysis for Breast Cancer model after McCulloch-Pitts
Panoincell qX computer-assisted diagnosing of breast cancer from mammograms.

How Panoincell qX works is a genetic network simulation trained
with tumor incidence data from knockout experiments.
The genetic network is implemented using a neural
network; knockout genotypes are simulated by removing
nodes in the neural network. Two analyses are used to
interpret the resulting network weights. We use a novel
approach of fixing the network topology that allows knockout
TSG (tumor suppressor gene) data from multiple studies to
overlap and indirectly inform one another. The trained
simulation is validated by reproducing qualitative mammary
cancer susceptibilities of ATM, BRCA1, and p53 TSGs. The work
Panoincell qx is valuable because it allows TSG mammary cancer
susceptibility to be quantified using genetic network
topology and in vivo knockout data.