Publications by authors named "H Azimian"

Radiotherapy as a treatment method for glioblastoma is limited due to the intrinsic apoptosis resistance mechanisms of the tumor. Administration of higher radiation doses contributes to toxicities in normal tissues and organs at risk, like optic chiasma. Cellular senescence represents an alternative mechanism to apoptosis following radiotherapy in glioblastoma, occurring in both normal and neoplastic cells.

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Despite the success of radiotherapy for prostate cancer treatment, the recent discovery of radiation resistance prevents it from reaching its full potential. This study aims to use hsa-miR-7-5p for the expression of anti-apoptotic genes. The search for anti-apoptotic genes was carried out through databases.

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Article Synopsis
  • Radiotherapy is a common treatment for breast cancer, but patients respond differently due to variations in their intrinsic radiosensitivity (RS). Researchers are exploring alternatives to the standard clonogenic assay for predicting RS.
  • In this study, blood samples from 10 breast cancer patients were analyzed using clonogenic, γ-H2AX, and apoptosis assays to evaluate their RS levels, revealing three distinct RS groups: high, medium, and low.
  • Results indicated that high RS patients had fewer double-strand breaks in their DNA, but their DNA repair systems were less active compared to others. The study concluded that using a combination of assays is necessary for more accurate predictions of intrinsic RS in breast cancer patients.
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Exosomes are crucial for the growth and spread of glioblastomas, an aggressive form of brain cancer. These tiny vesicles play a crucial role in the activation of signaling pathways and intercellular communication. They can also transfer a variety of biomolecules such as proteins, lipids and nucleic acids from donor to recipient cells.

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Introduction: The challenge of treating Glioblastoma (GBM) tumors is due to various mechanisms that make the tumor resistant to radiation therapy. One of these mechanisms is hypoxia, and therefore, determining the level of hypoxia can improve treatment planning and initial evaluation of its effectiveness in GBM. This study aimed to design an intelligent system to classify glioblastoma patients based on hypoxia levels obtained from magnetic resonance images with the help of an artificial neural network (ANN).

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