(TORONTO, Canada — Dec. 7, 2016)-- Leukemia researchers at Princess Margaret Cancer Centre have developed a 17 - gene signature derived from leukemia stem cells that can
predict at diagnosis if patients with acute myeloid leukemia (AML) will respond to standard treatment.
Leukemia researchers at Princess Margaret Cancer Centre have developed a 17 - gene signature derived from leukemia stem cells that can
predict at diagnosis if patients with acute myeloid leukemia (AML) will respond to standard treatment.
Today's findings augment recent research also published in Nature (Dec. 7, 2016) detailing the team's development of a «stemness biomarker» — a 17 - gene signature derived from leukemia stem cells that can
predict at diagnosis which AML patients will respond to standard treatment.
Not exact matches
«
At the same time, as the human ZNF217 is associated with poor survival in a variety of cancers, understanding how this protein operates in physiological conditions may help to
predict cancer risk, achieve earlier
diagnosis and provide novel therapeutic approaches.»
In announcing the first rough draft of the human «book of life»
at a White House ceremony in the summer of 2000, President Bill Clinton
predicted that the genome project would «revolutionize the
diagnosis, prevention and treatment of most, if not all, human diseases.»
«Our findings emphasize the importance of patients» attitudes and beliefs about CAM and may
predict patients» CAM use following cancer
diagnoses,» said Mao, who is also an associate professor in the department of Epidemiology and Biostatistics
at Penn..
Scientists are not
at the point where they can factor in finger length to arrive
at a
diagnosis, but they've gathered evidence that shows how this prenatal hormone imbalance can affect a person for life, from increasing or decreasing your risk of certain diseases, to
predicting how easily you get lost or lose your temper.
In February, Piven and his colleagues
predicted the
diagnoses of baby sibs using snapshots of brain structure collected
at multiple time points during childhood.
«The hope is that in the not - so - distant future a miRNA - based blood test can be used in conjunction with imaging features and other factors to aid the medical team in accurately
predicting disease severity of IPMNs and other pancreatic cysts
at the time of
diagnosis or follow - up so that more informed personalized medical management decisions can be made,» explained Permuth - Wey.
Each alternative performed better
at predicting regional mortality than the current Medicare
diagnosis - based method.
The findings, published online today in Nature, could potentially transform patient care in AML by giving clinicians a risk scoring tool that within a day or two of
diagnosis can
predict individual response and help guide treatment decisions, says co-principal investigator Dr. Jean Wang, Affiliate Scientist
at the Princess Margaret, University Health Network (UHN).
For example, in working with canine lymphoma they have developed a genetic test that allows us to
predict how long dogs diagnosed with lymphoma,
at time of
diagnosis, will respond to doxorubicin based chemotherapy.
Thoracic radiographs can show lesions
at the alveolar sac, diffused lung cells or a lobar fusion, thus a tentative
diagnosis can only be
predicted for canine lung cancer.
As a result, they tend to spend more time onlooking (watching other children without joining) and hovering on the edge of social groups.8, 11 There is some evidence to suggest that young depressive children also experience social impairment.12 For example, children who display greater depressive symptoms are more likely to be rejected by peers.10 Moreover, deficits in social skills (e.g., social participation, leadership) and peer victimization
predict depressive symptoms in childhood.13, 14 There is also substantial longitudinal evidence linking social withdrawal in childhood with the later development of more significant internalizing problems.15, 16,17 For example, Katz and colleagues18 followed over 700 children from early childhood to young adulthood and described a pathway linking social withdrawal
at age 5 years — to social difficulties with peers
at age 15 years — to
diagnoses of depression
at age 20 years.
Next, a logistic regression was conducted to test whether MDD
diagnosis at baseline
predicted MDD
diagnosis at follow - up (12 and / or 24 months after baseline) while statistically controlling for demographic variables, comorbid
diagnoses (split into separate disruptive and anxiety categories), stressful life events, and maternal and family history of affective disorders
at baseline.
They serve children birth to age 36 months who have a medical
diagnosis that
predicts delay, or are considered to be
at - risk for developmental delay.
Maternal current and lifetime
diagnoses predicted the presence of an anxiety
diagnosis at follow - up.
Finally, we used criterion outcome measures
at age 5, which included parent - reported
diagnoses of ADHD and ASD / AS and teacher - reported measures of personal, social, and emotional (PSE) development to assess the utility of the preschool SDQ to
predict clinical outcomes 2 years later.