Not exact matches
The method involves tagging a molecular drug delivery vehicle with synthetic DNA that can then be used to see
how cancerous
tumors are responding to specific
treatments (the drugs themselves are placed into these tagged nanoparticles).
Appearing alongside the heads of five of NIH's 27 institutes and centers, Collins instead offered examples of
how NIH research has led to new drugs for cystic fibrosis and cancer
treatments that help the immune system fight
tumors.
Although there have been great advances made in the
treatment of leukemias and other cancers, little is known about
how Glioblastomas are formed and
how these
tumors infiltrate the brain tissue.
If hypofractionated radiation with curative intent can reduce the
treatment time for lung cancer patients by half with no greater toxicity, and with equivalent — if not better —
tumor control and survival outcomes, this research could result in a change in the paradigm of
how a large subset of locally advanced NSCLC patients are treated.»
Now that we know more about
how cancer originates and
how tumors re-grow after
treatment, we can design new therapies to prevent this.
However, some human
tumor cells may also be hard to infect with viral therapies, Dr. Cripe reasoned, and knowing
how cells respond in those situations could also be important to improving cancer
treatments.
Anil Potti had published papers in prominent journals identifying gene signatures in
tumors that could predict
how a patient would respond to
treatment.
Detecting the presence of
tumor estrogen or HER2 receptors with PET scans would enable oncologists to examine all sites of cancer for each patient, choose the appropriate drug
treatment more quickly, monitor the
tumor for changes that would necessitate a switch to another
treatment, and even evaluate
how well a drug is hitting its receptor targets.
A UNC Lineberger Comprehensive Cancer Center discovery of just
how a certain
tumor suppressor molecule works to prevent
tumor growth could lead to a personalized
treatment approach for colon cancer.
«By understanding
how stress accelerates invasion in aggressive breast
tumor cells, this work will inform future studies into whether beta - blockers could be a useful adjuvant therapy in the
treatment of some aggressive breast cancers.»
«We had a hypothesis about
how these
treatments would work together, and when we did biopsies of patients»
tumors we found that they were cooperating in just the way we thought they would,» says lead author Antoni Ribas, director of the Immunology Program at the UCLA Jonsson Comprehensive Cancer Center.
Writing in the Journal of Experimental Medicine last week, researchers revealed
how some cancer
treatments can trigger an inflammatory response that makes
tumors stronger.
The study also suggests
how ovarian cancer
treatments can be tailored based on the metabolic profile of a particular
tumor.
This finding may help researchers decipher
how to inhibit the growth of
tumors that have become resistant to other
treatments.
In their report that has received advance online publication in Nature Nanotechnology, a research team based at the Wellman Center for Photomedicine at Massachusetts General Hospital (MGH) describes
how a nanomedicine that combines photodynamic therapy — the use of light to trigger a chemical reaction — with a molecular therapy drug targeted against common
treatment resistance pathways reduced a thousand-fold the dosage of the molecular therapy drug required to suppress
tumor progression and metastatic outgrowth in an animal model.
This was reflected in
how much more efficient PMIL - delivered
treatment was in the animal models compared to either
treatment alone, since PDT simultaneously sensitized the
tumor to the second therapy.
The new findings could help physicians prescribe the most effective
treatments for each patient based on
how genes are activated in the individual
tumor.
Of particular interest are
how tumor - specific metabolic changes promote oncogenic progression and
how these changes can be exploited to develop more effective
treatment options.
Answering important clinical questions — such as whether genetic diversity is a risk factor for aggressive
tumor development or
how it relates to
treatment resistance — requires analyzing samples from many patients with different types of cancer.
The idea was immediately controversial but Hendrix and others have since pieced together a picture of
how tumors build their own blood vessels and
how they can affect prognosis and
treatment.
Sequencing RNA, not just DNA, could help doctors predict
how prostate cancer
tumors will respond to
treatment, according to research published in the open access journal Genome Biology.
Therefore, it is useful to identify
tumor features that can serve as «predictive biomarkers» to forecast
how a person's
tumor might respond to a particular
treatment.
«The surprise was
how well this worked in clearing so much
tumor so rapidly,» says immunologist Bruce Levine of the University of Pennsylvania, one of the scientists who created the new
treatment.
With the new MIT sensor, doctors could track the state of the
tumor and predict
how it might respond to radiation
treatment, according to the researchers.
That unpredictability includes
how the
tumor will react to
treatment.
Using 80 of the successful
tumor xenografts — from the Greek «xenos» meaning «foreign» — he compared
how the mouse's
tumor responded to a drug or drug combination with the
treatment response of the corresponding human patient.
What followed is an illuminating tale of
how one woman's intersection with experimental research helped open a new frontier in cancer
treatment — with approval of a drug that, for the first time, capitalizes on a genetic feature in a
tumor rather than on the disease's location in the body.
The technology successfully tracked in real - time
how the diversity of
tumor cell populations were changing in response to particular therapies for all of the patients studied, and was highly predictive of
treatment effectiveness and patient outcomes.
Those early results are very positive, and strongly indicate that the nanoparticles could be useful for assessing
how effective a therapy is on a much shorter time scale than current
treatments, which usually rely on observing the size of the
tumor.
To that end, Sharma gave an overview of MD Anderson's efforts to comprehensively characterize the activity of the immune cells in the patients they treat, and they've already analyzed over 42,000
tumor tissue samples, from both before and after
treatment, looking for clues regarding
how treatment outcomes relate to immune cell infiltration into
tumors.
Their next steps are to characterize
how these
treatments affected NK cell function as well as determine the reactivity of patients» T cells against
tumor mutations.
«The technology could also greatly improve our ability to study
how tumor cells change in response to
treatment and could help answer important biological questions about
how treatment resistance arises.»
By uncovering new biological markers, the scientists hope to develop tests that individualize
treatment by showing
how the GPS system of a
tumor operates.
These research collaborations have the power to answer questions critical to improving cancer outcomes, such as
how tumors develop drug resistance, and what
treatments are most effective against particular genomic traits.
For each
treatment scenario, the model hosts millions of competitions to simulate
how the
tumor will most likely progress over time.
He's studying
how tumor heterogeneity affects
treatment and the role of microRNAs in pediatric cancers and leukemia.
Patients were often put through grueling — and expensive —
treatment protocols without knowing
how their
tumors would react.
Other radiation
treatments that require targeting the
tumor from an external source, which exposes healthy tissues and limits
how high a dose can be safely delivered.
Her goal is to define the molecular architecture and functional significance of a niche, determine
how tumor growth impacts the niche, learn
how benign and malignant cells compete within a niche, and use this knowledge to design precisely targeted anti-cancer
treatments that spare normal bone marrow and improve the efficacy of stem cell - based therapies.
Areas of focus include: understanding
how tumour - reactive T cells and B cells promote patient survival in cancer; defining the effects of standard
treatments on
tumor immunity; and using genomic approaches to identify novel tumour mutations that can serve as target antigens for immunotherapy.
How tumor cells gain resistance and / or avoid these therapies and which patients may benefit from these
treatments is currently unknown.
how detoxing is gentle and simple and pushes out the
treatment chemicals and
tumor waste (the dead cancer cells that remain after
treatment)
;
How Tumors Use Meat to Grow; 98 % of American Diets Potassium Deficient; Best
Treatment for Constipation; Breast Cancer & Alcohol:
How Much Is Safe?
Your veterinarian will be able to explain
how the specific
tumor in your animal is likely to respond to
treatment and behave in the future.
When ultrasound is used to measure the
tumor size and to determine
how well the
treatment is working over time, it is critical to use a standardized ultrasound protocol.
Find out the symptoms of dog
tumors,
how to determine if they're cancer and your options for
treatment.
Like the
treatment for skin cancer, the prognosis varies significantly depending on the type of
tumor and
how advanced the disease is.
Conventional
treatment for skin cancer depends on the type of
tumor and
how advanced the disease is at the time of diagnosis.
When we find a
tumor on your pet we will be sure and go over
how we need to determine an accurate diagnosis and all of the options for
treatment so you can make the best choice in your pet's care.
Recent evidence provides essential clues into
how these
tumors grow and progress, generating new ideas for
treatment approaches.