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Serum microRNA expression profiling predict response to R-CHOP treatment in diffuse large B cell lymphoma patients

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Abstract

MicroRNAs (miRNAs) are stably expressed in serum, which could serve as great potential prognostic biomarkers in a variety of diseases, including various cancers. We analyzed the miRNA expression profiles to investigate the role of serum miRNA in predicting response to rituximab, cyclophosphamide, Adriamycin, vincristine, and prednisone (R-CHOP) treatment in diffuse large B cell lymphoma (DLBCL) patients. The present study proceeded through three phases. In the discovery phase, real-time polymerase chain reaction (PCR)-based miRNA profiling was used to test the difference in levels of serum miRNAs between 20 patients with complete remission after 6 cycles of R-CHOP treatment and 20 patients with primary refractory disease matched by age, sex, and stage. After the marker selection phase, the selected serum miRNAs were validated in 133 patients using the quantitative reverse transcriptase-PCR assays during the validation phases. Fifteen serum miRNAs were found to be altered more than 10-fold by real-time PCR-based miRNA profiling between the complete remission and primary refractory groups. The levels of five miRNAs (miR-224, miR-455-3p, miR-1236, miR-33a, and miR-520d-3p) were significantly associated with response to R-CHOP treatment in DLBCL patients. The five-miRNA signature was also a significant predictor of response independent from the International Prognostic Index score. The expression levels of these five serum miRNAs may serve as novel prognostic biomarkers to predict the clinical outcome of DLBCL patients treated with R-CHOP regimen.

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Acknowledgments

The authors thank Xinyi Xia from the Nanjing General Hospital of Nanjing Command, Lirong Zhang from the First People’s Hospital of Changzhou, Hui Yu and Zhuqiong Xu from the Jiangsu Provincial Hospital of Traditional Chinese Medicine, Jun Qian from the Affiliated People’s Hospital of Jiangsu University, Qingdi Zeng from the Affiliated Hospital of Jining Medical College, and Xin Jiang and Zhangqing Zhou from the Affiliated Hospital of Nantong University for collecting the serum samples and clinical data.

Conflict of interest

The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. Department of Hematology, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226001, China

    Guoqi Song, Junhong Li & Hong Liu

  2. Central Laboratory of Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, 210006, China

    Ling Gu, Zhipeng Tang, Bangsun He, Yuqin Pan & Shukui Wang

  3. Department of Life Sciences, Nanjing Normal University, Nanjing, Jiangsu, 210097, China

    Ling Gu

  4. Department of Hematology, Zhongda Hospital, Medical School, Southeast University, Nanjing, Jiangsu, 210012, China

    Baoan Chen

  5. Department of Hematology, Jiangsu Provincial Hospital of Traditional Chinese Medicine, Affiliated to Nanjing University of Traditional Chinese Medicine, Nanjing, Jiangsu, 210029, China

    Xuemei Sun

  6. Department of Clinical Oncology, Queen Elizabeth Hospital, Room 1305, 13/F, Block R, 30 Gascoigne Road, Kowloon, Hong Kong, China

    William C. Cho

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  1. Guoqi Song
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  2. Ling Gu
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  3. Junhong Li
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  4. Zhipeng Tang
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  5. Hong Liu
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  7. Xuemei Sun
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  8. Bangsun He
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  9. Yuqin Pan
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  10. Shukui Wang
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  11. William C. Cho
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Corresponding authors

Correspondence to Shukui Wang or William C. Cho.

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Guoqi Song, Ling Gu, and Junhong Li contributed equally to this work.

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Song, G., Gu, L., Li, J. et al. Serum microRNA expression profiling predict response to R-CHOP treatment in diffuse large B cell lymphoma patients. Ann Hematol 93, 1735–1743 (2014). https://doi.org/10.1007/s00277-014-2111-3

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  • DOI: https://doi.org/10.1007/s00277-014-2111-3

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