Prospective Grant of Exclusive License: FDA Cleared Pediatric Cancer Diagnostics and Prognostics, 49289-49290 [E7-16930]
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Federal Register / Vol. 72, No. 166 / Tuesday, August 28, 2007 / Notices
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visit.
(Catalogue of Federal Domestic Assistance
Program Nos. 93.879, Medical Library
Assisance, National Institutes of Health,
HHS)
Dated: August 22, 2007.
Jennifer Spaeth,
Director, Office of Federal Advisory
Committee Policy.
[FR Doc. 07–4215 Filed 8–27–07; 8:45 am]
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DEPARTMENT OF HEALTH AND
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Agenda: To review and evaluate grant
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Program Nos. 93.879, Medical Library
Assistance, National Institutes of Health,
HHS)
Dated: August 22, 2007.
Jennifer Spaeth,
Director, Office of Federal Advisory
Committee Policy.
[FR Doc. 07–4223 Filed 8–27–07; 8:45 am]
BILLING CODE 4140–01–M
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
National Institutes of Health
Prospective Grant of Exclusive
License: FDA Cleared Pediatric Cancer
Diagnostics and Prognostics
National Institutes of Health,
Public Health Service, HHS.
ACTION: Notice.
AGENCY:
SUMMARY: This is notice, in accordance
with 35 U.S.C. 209(c)(1) and 37 CFR
404.7(a)(1)(I), that the National
Institutes of Health (NIH), Department
of Health and Human Services, is
contemplating the grant of an exclusive
license to practice the invention
embodied in Patent Applications U.S.
10/133,937, filed 04/25/2002, entitled
‘‘Methods for Analyzing High
Dimensional Data for Classifying,
Diagnosing, Prognosticating and/or
Predicting Diseases and Other Biological
States’’; and U.S. 10/159,563, filed 05/
31/2002, entitled ‘‘Selections of Genes
And Methods of Using The Same For
Diagnosis And For Targeting The
Therapy of Select Cancers’’; to Althea
Technologies, Inc. having a place of
business in San Diego, California. The
patent rights in this invention have been
PO 00000
Frm 00043
Fmt 4703
Sfmt 4703
49289
assigned to the United States of America
(PHS ref E–324–2001/0,1).
DATE: Only written comments and/or
application for a license that are
received by the NIH Office of
Technology Transfer on or before
October 29, 2007 will be considered.
ADDRESS: Requests for a copy of the
patent application, inquiries, comments
and other materials relating to the
contemplated license should be directed
to: Cristina Thalhammer-Reyero, Ph.D.,
M.B.A., Office of Technology Transfer,
National Institutes of Health, 6011
Executive Boulevard, Suite 325,
Rockville, MD 20852–3804; e-mail:
ThalhamC@mail.nih.gov; Telephone:
301–435–4507; Facsimile: 301–402–
0220.
SUPPLEMENTARY INFORMATION: The
prospective exclusive license will be
royalty bearing and will comply with
the terms and conditions of 35 U.S.C.
209 and 37 CFR 404.7. The prospective
exclusive license may be granted unless,
within 60 days from the date of this
published Notice, NIH receives written
evidence and argument that establishes
that the grant of the license would not
be consistent with the requirements of
35 U.S.C. 209 and 37 CFR 404.7.
The invention relates to a method of
using supervised pattern recognition
methods for classifying, diagnosing,
predicting, or prognosticating various
diseases. The method includes
obtaining high dimensional
experimental data, such as gene
expression profiling data, filtering the
data, reducing the dimensionality of the
data through use of one or more
methods, training artificial neural
networks (ANN, a supervised pattern
recognition method), ranking individual
data points from the data, choosing
multiple data points from the data based
on the relative ranking, and using the
multiple data points to determine if an
unknown set of experimental data
indicates a diseased condition, a
predilection for a diseased condition, or
a prognosis about a diseased condition.
Further, the invention relates to sets of
genes expressed in cancer cells that
function to characterize each cancer
type, and methods of using the sets of
genes for diagnosis and for targeting the
therapy of selected cancers. In
particular, the methods apply to classify
cancers which often present diagnostic
dilemmas in clinical practice, such as
the pediatric small round blue cell
tumors (SRBCTs), including
neuroblastoma (NB),
rhabdomyosarcoma (RMS), Burkitt’s
lymphoma (BL), and the Ewing family
of tumors (EWS). Specifically, the
invention is an application of ANNs for
E:\FR\FM\28AUN1.SGM
28AUN1
49290
Federal Register / Vol. 72, No. 166 / Tuesday, August 28, 2007 / Notices
the diagnostic classification of cancers
based on gene expression profiling data
derived from cDNA microarrays. The
ANNs were first trained to be used as
models, and then correctly classified all
samples tested and identified the genes
most relevant to the classification. Their
study demonstrated the potential
applications of these methods for tumor
diagnosis and for the identification of
candidate targets for therapy. The
uniqueness of this method is taking
gene expression data generated by
microarrays, minimizing the genes from
the original 1000s to less than 100,
identifying which genes are the most
relevant to a classification, which gives
an immediate clue to the actual
biological processes involved, not just
surrogate markers which have no
bearing on the biology.
The field of use may be limited to
‘‘FDA Cleared Pediatric Cancer
Diagnostics and Prognostics’’.
Properly filed competing applications
for a license filed in response to this
notice will be treated as objections to
the contemplated license. Comments
and objections submitted in response to
this notice will not be made available
for public inspection, and, to the extent
permitted by law, will not be released
under the Freedom of Information Act,
5 U.S.C. 552.
Dated: August 20, 2007.
Steven M. Ferguson,
Director, Division of Technology Development
and Transfer, Office of Technology Transfer,
National Institutes of Health.
[FR Doc. E7–16930 Filed 8–27–07; 8:45 am]
BILLING CODE 4140–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
National Institutes of Health
Prospective Grant of Exclusive
License: Method for Determining the
Redox Status of a Tissue
National Institutes of Health,
Public Health Service, HHS.
ACTION: Notice.
pwalker on PROD1PC71 with NOTICES
AGENCY:
SUMMARY: This is notice, in accordance
with 35 U.S.C. 209(c)(1) and 37 CFR
404.7(a)(1)(I), that the National
Institutes of Health (NIH), Department
of Health and Human Services, is
contemplating the grant of an exclusive
license to practice the inventions
embodied in: PCT Application No. PCT/
US2006/031208 (E–258–2005/0–PCT–
02) filed August 10, 2006 claiming
priority to U.S. Provisional Application
No. 60/707,518 (E–258–2005/0–US–01),
titled ‘‘Method for Determining the
VerDate Aug<31>2005
19:52 Aug 27, 2007
Jkt 211001
Redox Status of a Tissue’’ (Inventors: Dr
James Mitchell et al.) to Mitos
Pharmaceutical, Inc. (hereafter Mitos),
having a place of business in Newport
Beach, California. The patent rights in
these inventions have been assigned to
the United States of America.
DATES: Only written comments and/or
application for a license, which are
received by the NIH Office of
Technology Transfer on or before
October 29, 2007 will be considered.
ADDRESSES: Requests for a copy of the
patent application, inquiries, comments
and other materials relating to the
contemplated license should be directed
to: Chekesha Clingman, PhD, Office of
Technology Transfer, National Institutes
of Health, 6011 Executive Boulevard,
Suite 325, Rockville, MD 20852–3804;
e-mail: clingmac@mail.nih.gov;
Telephone: (301) 435–5018; Facsimile:
(301) 402–0220.
SUPPLEMENTARY INFORMATION: The
present invention relates to a method of
determining the redox status of tissues
by administering a cell-permeable
nitroxide, such as 4-hydroxy-2,2,6,6tetramethylpiperidine-1-oxyl (or
Tempol), as a contrast agent and
employing magnetic resonance imaging
(MRI). Also provided by the invention
are a method for diagnosing a tumor and
other pathologies associated with
oxidative stress and a method for
determining a cancer treatment
protocol. Tumor tissues exhibit viable
but hypoxic regions that allow them to
reduce nitroxide compounds more
efficiently than normal tissue. The
paramagnetic relaxivity of nitroxide
compounds makes it possible to use
standard MRI scanners to determine the
redox status of tissue in vivo. By
determining the redox status of a tumor
it is possible to not only diagnose a
tumor due to its enhanced reduction of
intracellular nitroxide contrast agent,
but also to determine appropriate
radiation treatment fields spatially to
deliver therapeutic doses of radiation,
and to determine appropriate timing
sequences after the administration of a
nitroxide contrast agent such that the
maximum difference between normal
and tumor tissue with respect to the
radioprotective form of the nitroxide is
present in the normal tissue, thereby
limiting collateral damage to the normal
tissue.
The prospective exclusive license will
be royalty bearing and will comply with
the terms and conditions of 35 U.S.C.
209 and 37 CFR 404.7. The prospective
exclusive license may be granted unless,
within 60 days from the date of this
published Notice, NIH receives written
evidence and argument that establishes
PO 00000
Frm 00044
Fmt 4703
Sfmt 4703
that the grant of the license would not
be consistent with the requirements of
35 U.S.C. 209 and 37 CFR 404.7.
The field of use may be limited to
methods for determining the redox
status of tissues by utilizing nitroxide
contrast agents in combination with
MRI for diagnosis of cancer and other
pathologies.
Properly filed competing applications
for a license filed in response to this
notice will be treated as objections to
the contemplated license. Comments
and objections submitted in response to
this notice will not be made available
for public inspection, and, to the extent
permitted by law, will not be released
under the Freedom of Information Act,
5 U.S.C. 552.
Dated: August 20, 2007.
Steven M. Ferguson,
Director, Division of Technology Development
and Transfer, Office of Technology Transfer,
National Institutes of Health.
[FR Doc. E7–16931 Filed 8–27–07; 8:45 am]
BILLING CODE 4140–01–P
DEPARTMENT OF HEALTH AND
HUMAN SERVICES
National Institutes of Health
Policy for Sharing of Data Obtained in
NIH Supported or Conducted GenomeWide Association Studies (GWAS)
AGENCY:
National Institutes of Health,
HHS.
ACTION:
Notice.
Background
The NIH is interested in advancing
genome-wide association studies
(GWAS) to identify common genetic
factors that influence health and
disease. For the purposes of this policy,
a genome-wide association study is
defined as any study of genetic variation
across the entire human genome that is
designed to identify genetic associations
with observable traits (such as blood
pressure or weight), or the presence or
absence of a disease or condition.1
Whole genome information, when
combined with clinical and other
phenotype data, offers the potential for
increased understanding of basic
biological processes affecting human
health, improvement in the prediction
of disease and patient care, and
1 To meet the definition of a GWAS, the density
of genetic markers and the extent of linkage
disequilibrium should be sufficient to capture (by
the r2 parameter) a large proportion of the common
variation in the genome of the population under
study, and the number of samples (in a case-control
or trio design) should provide sufficient power to
detect variants of modest effect.
E:\FR\FM\28AUN1.SGM
28AUN1
Agencies
[Federal Register Volume 72, Number 166 (Tuesday, August 28, 2007)]
[Notices]
[Pages 49289-49290]
From the Federal Register Online via the Government Printing Office [www.gpo.gov]
[FR Doc No: E7-16930]
-----------------------------------------------------------------------
DEPARTMENT OF HEALTH AND HUMAN SERVICES
National Institutes of Health
Prospective Grant of Exclusive License: FDA Cleared Pediatric
Cancer Diagnostics and Prognostics
AGENCY: National Institutes of Health, Public Health Service, HHS.
ACTION: Notice.
-----------------------------------------------------------------------
SUMMARY: This is notice, in accordance with 35 U.S.C. 209(c)(1) and 37
CFR 404.7(a)(1)(I), that the National Institutes of Health (NIH),
Department of Health and Human Services, is contemplating the grant of
an exclusive license to practice the invention embodied in Patent
Applications U.S. 10/133,937, filed 04/25/2002, entitled ``Methods for
Analyzing High Dimensional Data for Classifying, Diagnosing,
Prognosticating and/or Predicting Diseases and Other Biological
States''; and U.S. 10/159,563, filed 05/31/2002, entitled ``Selections
of Genes And Methods of Using The Same For Diagnosis And For Targeting
The Therapy of Select Cancers''; to Althea Technologies, Inc. having a
place of business in San Diego, California. The patent rights in this
invention have been assigned to the United States of America (PHS ref
E-324-2001/0,1).
DATE: Only written comments and/or application for a license that are
received by the NIH Office of Technology Transfer on or before October
29, 2007 will be considered.
ADDRESS: Requests for a copy of the patent application, inquiries,
comments and other materials relating to the contemplated license
should be directed to: Cristina Thalhammer-Reyero, Ph.D., M.B.A.,
Office of Technology Transfer, National Institutes of Health, 6011
Executive Boulevard, Suite 325, Rockville, MD 20852-3804; e-mail:
ThalhamC@mail.nih.gov; Telephone: 301-435-4507; Facsimile: 301-402-
0220.
SUPPLEMENTARY INFORMATION: The prospective exclusive license will be
royalty bearing and will comply with the terms and conditions of 35
U.S.C. 209 and 37 CFR 404.7. The prospective exclusive license may be
granted unless, within 60 days from the date of this published Notice,
NIH receives written evidence and argument that establishes that the
grant of the license would not be consistent with the requirements of
35 U.S.C. 209 and 37 CFR 404.7.
The invention relates to a method of using supervised pattern
recognition methods for classifying, diagnosing, predicting, or
prognosticating various diseases. The method includes obtaining high
dimensional experimental data, such as gene expression profiling data,
filtering the data, reducing the dimensionality of the data through use
of one or more methods, training artificial neural networks (ANN, a
supervised pattern recognition method), ranking individual data points
from the data, choosing multiple data points from the data based on the
relative ranking, and using the multiple data points to determine if an
unknown set of experimental data indicates a diseased condition, a
predilection for a diseased condition, or a prognosis about a diseased
condition. Further, the invention relates to sets of genes expressed in
cancer cells that function to characterize each cancer type, and
methods of using the sets of genes for diagnosis and for targeting the
therapy of selected cancers. In particular, the methods apply to
classify cancers which often present diagnostic dilemmas in clinical
practice, such as the pediatric small round blue cell tumors (SRBCTs),
including neuroblastoma (NB), rhabdomyosarcoma (RMS), Burkitt's
lymphoma (BL), and the Ewing family of tumors (EWS). Specifically, the
invention is an application of ANNs for
[[Page 49290]]
the diagnostic classification of cancers based on gene expression
profiling data derived from cDNA microarrays. The ANNs were first
trained to be used as models, and then correctly classified all samples
tested and identified the genes most relevant to the classification.
Their study demonstrated the potential applications of these methods
for tumor diagnosis and for the identification of candidate targets for
therapy. The uniqueness of this method is taking gene expression data
generated by microarrays, minimizing the genes from the original 1000s
to less than 100, identifying which genes are the most relevant to a
classification, which gives an immediate clue to the actual biological
processes involved, not just surrogate markers which have no bearing on
the biology.
The field of use may be limited to ``FDA Cleared Pediatric Cancer
Diagnostics and Prognostics''.
Properly filed competing applications for a license filed in
response to this notice will be treated as objections to the
contemplated license. Comments and objections submitted in response to
this notice will not be made available for public inspection, and, to
the extent permitted by law, will not be released under the Freedom of
Information Act, 5 U.S.C. 552.
Dated: August 20, 2007.
Steven M. Ferguson,
Director, Division of Technology Development and Transfer, Office of
Technology Transfer, National Institutes of Health.
[FR Doc. E7-16930 Filed 8-27-07; 8:45 am]
BILLING CODE 4140-01-P