CDKN1A and FANCD2 are potential oncotargets in Burkitt lymphoma and multiple myeloma

Seong Su Han, Van S. Tompkins, Dong Ju Son, Sangwoo Han, Hwakyung Yun, Natalie L. Kamberos, Casey L. Dehoedt, Chunyan Gu, Carol Holman, Guido Tricot, Fenghuang Zhan, Siegfried Janz

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Background: Comparative genetic and biological studies on malignant tumor counterparts in human beings and laboratory mice may be powerful gene discovery tools for blood cancers, including neoplasms of mature B-lymphocytes and plasma cells such as Burkitt lymphoma (BL) and multiple myeloma (MM). Methods: We used EMSA to detect constitutive NF-kB/STAT3 activity in BL- and MM-like neoplasms that spontaneously developed in single-transgenic IL6 (interleukin-6) or MYC (c-Myc) mice, or in double-transgenic IL6MYC mice. qPCR measurements and analysis of clinical BL and MM datasets were employed to validate candidate NF-kB/STAT3 target genes. Results: qPCR demonstrated that IL6- and/or MYC-dependent neoplasms in mice invariably contain elevated mRNA levels of the NF-kB target genes, Cdkn1a and Fancd2. Clinical studies on human CDKN1A, which encodes the cell cycle inhibitor and tumor suppressor p21, revealed that high p21 message predicts poor therapy response and survival in BL patients. Similarly, up-regulation of FANCD2, which encodes a key member of the Fanconi anemia and breast cancer pathway of DNA repair, was associated with poor outcome of patients with MM, particularly those with high-risk disease. Conclusions: Our findings suggest that CDKN1A and FANCD2 are potential oncotargets in BL and MM, respectively. Additionally, the IL-6- and/or MYC-driven mouse models of human BL and MM used in this study may lend themselves to the biological validation of CDKN1A and FANCD2 as molecular targets for new approaches to cancer therapy and prevention.

Original languageEnglish (US)
Article number9
JournalExperimental Hematology and Oncology
Issue number1
StatePublished - Mar 27 2015

All Science Journal Classification (ASJC) codes

  • Hematology
  • Oncology
  • Cancer Research


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