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HUANG Shao-jun, CHENG Zheng-jiang, WANG Jing-jing. Clinical Significance of Quantitative Detection of survivin mRNA in Peripheral Blood of Gastrointestinal Cancer Patients before and after Operation[J]. Cancer Research on Prevention and Treatment, 2011, 38(09): 1050-1052. DOI: 10.3971/j.issn.1000-8578.2011.09.019
Citation: HUANG Shao-jun, CHENG Zheng-jiang, WANG Jing-jing. Clinical Significance of Quantitative Detection of survivin mRNA in Peripheral Blood of Gastrointestinal Cancer Patients before and after Operation[J]. Cancer Research on Prevention and Treatment, 2011, 38(09): 1050-1052. DOI: 10.3971/j.issn.1000-8578.2011.09.019

Clinical Significance of Quantitative Detection of survivin mRNA in Peripheral Blood of Gastrointestinal Cancer Patients before and after Operation

  • ObjectiveTo study the change of survivin mRNA expression in peripheral blood of gastrointestinal cancers patients before and after operation and explore its feasibility of predicting gastrointestinal cancers recurrence and metastasis. Methods survivin mRNA were detected by real time quantitative RT-PCR in peripheral blood of 40 gastrointestinal cancers patients before and after operation.The follow-up lasted 6 months after operation.Ten resected patients with appendicitis or gall-stone as controls. Results Post-operative survivin expression in 18 (45%) was signifcantly lower than pre-operative expression in 35(87.5%) of 40 cancer patients.Post-operative survivin levels were all non-detectable in 5 cancer patients non-detectable pre-operatively.Post-operative survivin levels were non-detectable in 17 cancer patients and were signifcantly lower than pre-operative levels in 12 cancer patients and were higher than pre-operative levels in 6 cancer patients of 35 resected patients.In 6 months liver metastasis were signifcantly detected in 4 patients of 6 patients that survivin detected higher than pre-operative. Conclusion The change of survivin mRNA levels in peripheral blood before and after operation was a non-invasive and detectable impersonal data to predict cancer recurrence and metastasis.
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