Studies Find Connection Between Age and Melanoma Treatment Resistance
Two studies have directly linked mechanisms of aging to melanoma spread and treatment resistance. Melanoma cells cultured with fibroblasts from older patients consistently increased uptake of fatty acids from the environment in and around the tumor, providing the cancer protection from cell death. Researchers also found that older patients showed decreased expression of the angiogenesis-promoting gene VEGF, which the drug Avastin is designed to block.
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https://www.docwirenews.com/hematology-oncology/studies-find-connection-between-age-and-melanoma-treatment-resistance/
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When It Comes to Pediatric Cancer Symptoms, Who Should We Listen To: Caregivers or Children?
Caregivers for pediatric patients with cancer may not be able to report patients’ symptoms as accurately as the children themselves, according to a study. Caregivers were found to report a higher symptom burden than the children. In their conclusion the researchers recommended that “elicitation of the child’s own report should be pursued whenever possible.”
https://www.docwirenews.com/hematology-oncology/when-it-comes-to-pediatric-cancer-symptoms-who-should-we-listen-to-caregivers-or-children-the-answer-may-surprise-you/
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Saad Usmani, M.D., MBA, FACP Discusses Treatments in Multiple Myeloma Patients
DocWire News sat down with Saad Usmani, M.D., MBA, FACP to discuss an indirect treatment comparison study which assesses DARZALEX® (daratumumab) Plus Lenalidomide and Dexamethasone (D-Rd) and Bortezomib-Containing Regimens in Patients with Newly Diagnosed Transplant-Ineligible Multiple Myeloma.
https://www.docwirenews.com/hematology-oncology/saad-usmani-m-d-mba-facp-assesses-treatments-in-multiple-myeloma-patients/
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Artificial Intelligence May Help Improve Detection of Breast Cancer on Mammography
The use of artificial intelligence (AI) is becoming more widespread in medicine, including in the oncology field. Among its potential uses may be to aid in breast cancer detection on mammography, according to the findings of a study. Use of AI improved the diagnostic performance of radiologists and was shown to reduce false negatives without affecting the specificity.
https://www.docwirenews.com/docwire-pick/hem-onc-picks/artificial-intelligence-may-help-improve-detection-of-breast-cancer-on-mammography/
Two studies have directly linked mechanisms of aging to melanoma spread and treatment resistance. Melanoma cells cultured with fibroblasts from older patients consistently increased uptake of fatty acids from the environment in and around the tumor, providing the cancer protection from cell death. Researchers also found that older patients showed decreased expression of the angiogenesis-promoting gene VEGF, which the drug Avastin is designed to block.
https://www.docwirenews.com/hematology-oncology/studies-find-connection-between-age-and-melanoma-treatment-resistance/
–
When It Comes to Pediatric Cancer Symptoms, Who Should We Listen To: Caregivers or Children?
Caregivers for pediatric patients with cancer may not be able to report patients’ symptoms as accurately as the children themselves, according to a study. Caregivers were found to report a higher symptom burden than the children. In their conclusion the researchers recommended that “elicitation of the child’s own report should be pursued whenever possible.”
https://www.docwirenews.com/hematology-oncology/when-it-comes-to-pediatric-cancer-symptoms-who-should-we-listen-to-caregivers-or-children-the-answer-may-surprise-you/
–
Saad Usmani, M.D., MBA, FACP Discusses Treatments in Multiple Myeloma Patients
DocWire News sat down with Saad Usmani, M.D., MBA, FACP to discuss an indirect treatment comparison study which assesses DARZALEX® (daratumumab) Plus Lenalidomide and Dexamethasone (D-Rd) and Bortezomib-Containing Regimens in Patients with Newly Diagnosed Transplant-Ineligible Multiple Myeloma.
https://www.docwirenews.com/hematology-oncology/saad-usmani-m-d-mba-facp-assesses-treatments-in-multiple-myeloma-patients/
–
Artificial Intelligence May Help Improve Detection of Breast Cancer on Mammography
The use of artificial intelligence (AI) is becoming more widespread in medicine, including in the oncology field. Among its potential uses may be to aid in breast cancer detection on mammography, according to the findings of a study. Use of AI improved the diagnostic performance of radiologists and was shown to reduce false negatives without affecting the specificity.
https://www.docwirenews.com/docwire-pick/hem-onc-picks/artificial-intelligence-may-help-improve-detection-of-breast-cancer-on-mammography/
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