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Articles by Q Ma
Total Records ( 3 ) for Q Ma
  Z Han , Z Hong , C Chen , Q Gao , D Luo , Y Fang , Y Cao , T Zhu , X Jiang , Q Ma , W Li , L Han , D Wang , G Xu , S Wang , L Meng , J Zhou and D. Ma

Tumor cells acquire the ability to proliferate uncontrollably, resist apoptosis, sustain angiogenesis and evade immune surveillance. Signal transducer and activator of transcription (STAT) 3 regulates all of these processes in a surprisingly large number of human cancers. Consequently, the STAT3 protein is emerging as an ideal target for cancer therapy. This paper reports the generation of an oncolytic adenovirus (M4), which selectively blocks STAT3 signaling in tumor cells as a novel therapeutic strategy. M4 selectively replicated in tumor cells and expressed high levels of antisense STAT3 complementary DNA during the late phase of the viral infection in a replication-dependent manner. The viral progeny yield of M4 in tumor cells was much higher than that of the parent adenoviral mutants, Ad5/dE1A. M4 effectively silenced STAT3 and its target genes in tumor cells while sparing normal cells and exhibited potent antitumoral efficacy in vitro and in vivo. Systemic administration of M4 significantly inhibited tumor growth in an orthotopic gastric carcinoma mouse model, eliminated abdominal cavity metastases and prolonged survival time. In summary, M4 has low toxicity and great potential as a therapeutic agent for different types of cancers.

  J. L Koyner , V. S Vaidya , M. R Bennett , Q Ma , E Worcester , S. A Akhter , J Raman , V Jeevanandam , M. F O'Connor , P Devarajan , J. V Bonventre and P. T. Murray

Background and objectives: Several novel urinary biomarkers have shown promise in the early detection and diagnostic evaluation of acute kidney injury (AKI). Clinicians have limited tools to determine which patients will progress to more severe forms of AKI at the time of serum creatinine increase. The diagnostic and prognostic utility of novel and traditional AKI biomarkers was evaluated during a prospective study of 123 adults undergoing cardiac surgery.

Design, setting, participants, & measurements: Urinary neutrophil gelatinase-associated lipocalin (NGAL), cystatin C (CyC), kidney injury molecule-1 (KIM-1), hepatocyte growth factor (HGF), -glutathione-S-transferase (-GST), -GST, and fractional excretions of sodium and urea were all measured at preoperative baseline, postoperatively, and at the time of the initial clinical diagnosis of AKI. Receiver operator characteristic curves were generated and the areas under the curve (AUCs) were compared.

Results: Forty-six (37.4%) subjects developed AKI Network stage 1 AKI; 9 (7.3%) of whom progressed to stage 3. Preoperative KIM-1 and -GST were able to predict the future development of stage 1 and stage 3 AKI. Urine CyC at intensive care unit (ICU) arrival best detected early stage 1 AKI (AUC = 0.70, P < 0.001); the 6-hour ICU NGAL (AUC = 0.88; P < 0.001) best detected early stage 3 AKI. -GST best predicted the progression to stage 3 AKI at the time of creatinine increase (AUC = 0.86; P = 0.002).

Conclusion: Urinary biomarkers may improve the ability to detect early AKI and determine the clinical prognosis of AKI at the time of diagnosis.

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