Results 171 to 180 of about 749,314 (382)
Role of eIF4A1 in triple‐negative breast cancer stem‐like cell‐mediated drug resistance
Cancer Reports, Volume 5, Issue 12, December 2022., 2022 Abstract In cap‐dependent translation, the eukaryotic translation initiation factor 4A (eIF4A1) is an mRNA helicase is involved in unwinding of the secondary structure, such as the stem‐loops, at the 5′‐leader regions of the key oncogenic mRNAs. This facilitates ribosomal scanning and translation of the oncogenic mRNAs.
Dayanidhi Raman, Amit K. Tiwari
wiley +1 more source
Cancer Reports, Volume 5, Issue 12, December 2022., 2022 Abstract Background Calreticulin (CRT), an endoplasmic reticulum–resident protein generally overexpressed in cancer cells, is associated with radiation resistance. CRT shows higher transacetylase activity, as shown by us earlier, in the presence of the polyphenolic acetates (like 7, 8‐diacetoxy‐4‐methylcoumarin, DAMC) and modifies the activity of a ...
Amit Verma +6 more
wiley +1 more source
Lipidomic approach for stratification of Acute Myeloid Leukemia patients [PDF]
arXiv, 2016 The pathogenesis and progression of many tumors, including hematologic malignancies is highly dependent on enhanced lipogenesis. De novo fatty-acid synthesis permits accelerated proliferation of tumor cells by providing structural components to build the membranes.
arxiv
Myasthenia Gravis in a Patient with Chronic Myeloid Leukemia Treated by Busulfan [PDF]
, 1968 M Djaldetti +5 more
openalex +1 more source
Marrow adherent cell colony-stimulating activity production in acute myeloid leukemia [PDF]
, 1978 PL Greenberg, B Mara, P Heller
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Granulopoiesis in chronic myeloid leukemia. II. serial cloning of blood and bone marrow cells in agar culture [PDF]
, 1976 T Olofsson, Inge Olsson
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Involvement of the erythroid series in acute myeloid leukemia [PDF]
, 1979 Elke Beutler +2 more
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Treatment of juvenile chronic myeloid leukemia with sequential subcutaneous cytarabine and oral mercaptopurine [PDF]
, 1977 JS Lilleyman, JF Harrison, JA Black
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Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification [PDF]
arXivAutomated disease diagnosis using medical image analysis relies on deep learning, often requiring large labeled datasets for supervised model training. Diseases like Acute Myeloid Leukemia (AML) pose challenges due to scarce and costly annotations on a single-cell level.
arxiv