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Increased expression predicts poor prognosis and disease recurrence in acute myeloid leukemia. | LitMetric

AI Article Synopsis

  • Scientists discovered that a family member's expression in cancer cells can affect how bad the cancer gets and how well treatments work.
  • A special treatment called S63845 kills certain cancer cells and might be helpful for patients in the future.
  • In a study of patients with a type of blood cancer, higher levels of this family member were linked to worse outcomes, meaning patients didn’t do as well as those with lower levels.

Article Abstract

Altered expression of the family member has been linked to the progression and outcome of various malignancies. Recently, inhibitor S63845 was reported to kill -dependent cancer cells and has potential value in clinical application. Herein, we reported expression pattern in Chinese acute myeloid leukemia (AML) and its impact on prognosis and may provide theoretical basis for AML patients using inhibitor in clinics. Real-time quantitative PCR was carried out to detect the transcript of in AML patients. expression was significantly up-regulated in AML compared with controls (=0.042). We divided the patients into two groups (higher and lower expression of ) based on the median level. Among both non-acute promyelocytic leukemia (APL) and cytogenetically normal AML (CN-AML), patients with higher expression of correlated with lower complete remission (CR) rate (=0.031 and 0.004, respectively) and shorter overall survival (OS) time (=0.008 and 0.004, respectively) compared with those with lower expression of . Meanwhile, Cox regression analyses revealed that overexpression of acted as an independent risk factor for OS in non-APL patients and CN-AML patients (=0.011 and 0.045, respectively). In follow-up patients, expression level decreased after CR compared with newly diagnosis time (=0.020) and increased after relapse (=0.004). Our findings suggest that higher expression of predicts poor prognosis and can be used for disease monitoring.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503339PMC
http://dx.doi.org/10.2147/OTT.S194549DOI Listing

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