Publications by authors named "K Porkka"

Article Synopsis
  • The study addresses the challenge of treating advanced cancers, where cellular diversity requires therapies targeting multiple cancer cell populations.* -
  • A machine learning tool called scTherapy uses single-cell transcriptomic data to identify personalized multi-targeting treatment options for patients with various cancers, like acute myeloid leukemia and ovarian carcinoma.* -
  • Results show that 96% of the proposed treatments are effective and selective for cancer cells, with 83% having low toxicity to healthy cells, suggesting a promising avenue for safer and more effective cancer therapies.*
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The B-cell lymphoma 2 inhibitor venetoclax has shown promise for treating acute myeloid leukemia (AML). However, identifying patients likely to respond remains a challenge, especially for those with relapsed/refractory (R/R) disease. We evaluated the utility of ex vivo venetoclax sensitivity testing to predict treatment responses to venetoclax-azacitidine in a prospective, multicenter, phase 2 trial.

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BCR::ABL1-independent pathways contribute to primary resistance to tyrosine kinase inhibitor (TKI) treatment in chronic myeloid leukemia (CML) and play a role in leukemic stem cell persistence. Here, we perform ex vivo drug screening of CML CD34 leukemic stem/progenitor cells using 100 single drugs and TKI-drug combinations and identify sensitivities to Wee1, MDM2, and BCL2 inhibitors. These agents effectively inhibit primitive CD34CD38 CML cells and demonstrate potent synergies when combined with TKIs.

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Article Synopsis
  • In many cancers, including acute myeloid leukemia (AML), the challenge of relapse often involves multidrug resistance (MDR) linked to changes in cancer cell genetics.
  • Researchers employed acute myeloid leukemia patient-derived xenografts (PDX) to explore drug sensitivity and resistance mechanisms, revealing that resistance often correlates with diminished mitochondrial apoptotic priming and affects responses to various drug types.
  • Their findings suggest that by using dynamic BH3 profiling (DBP), it's possible to identify effective drugs for patients experiencing drug-resistant relapses, highlighting the potential for this method in developing personalized treatment strategies.
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Venetoclax-azacitidine is approved for treatment of patients with newly diagnosed acute myeloid leukemia (AML) ineligible for intensive chemotherapy based on the interim overall survival (OS) analysis of the VIALE-A study (NCT02993523). Here, long-term follow-up is presented to address survival benefit and long-term outcomes with venetoclax-azacitidine. Patients with newly diagnosed AML who were ineligible for intensive chemotherapy were randomized 2:1 to receive venetoclax-azacitidine or placebo-azacitidine.

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