PURPOSE: We compared the expression of the insulin receptor-related receptor (IRR) in primary human neuroblastomas with other biological and clinical parameters and the impact of its expression on prognostic outcome. EXPERIMENTAL DESIGN: We studied 49 neuroblastomas of different clinical stages and histological subtypes for (a) IRR, insulin-like growth factor 1 receptor (IGF-1R), TrkA, p75 neurotrophin receptor, and MYCN mRNA expression by reverse transcription-PCR; (b) MYCN gene amplification by Southern blot analyses; (c) cyclin A protein expression by Western blot analyses indicating proliferation rate; and (d) apoptotic index (AI) by terminal deoxynucleotidyl transferase (Tdt)-mediated dUTP nick end-labeling assay. RESULTS: IRR mRNA expression was found in 25 (51%) neuroblastomas and correlated with stages 1, 2, 3, and 4S disease and with age </=12 months at diagnosis. IRR was expressed predominantly in neuroblastomas without MYCN gene amplification and coexpressed with IGF-1R, TrkA, and p75 neurotrophin receptor. IRR mRNA expression also correlated with an undifferentiated histology but not with the proliferation rate. In coexpression with IGF-1R, the IRR was associated with enhanced AI. IRR expression was significantly correlated with a good prognosis in all 49 neuroblastomas (6-year survival probability, 91.8% versus 49.7% for IRR nonexpression; P = 0.003). CONCLUSION: IRR expression is a new marker for a favorable prognosis in neuroblastoma that is independent of MYCN amplification and age at diagnosis. Our data suggest an influence of IRR on IGF signaling via IGF-1R because coexpression of these two receptor tyrosine kinases was significantly correlated with an undifferentiated histology, a high AI, and an advanced survival probability.
PURPOSE: We compared the expression of the insulin receptor-related receptor (IRR) in primary humanneuroblastomas with other biological and clinical parameters and the impact of its expression on prognostic outcome. EXPERIMENTAL DESIGN: We studied 49 neuroblastomas of different clinical stages and histological subtypes for (a) IRR, insulin-like growth factor 1 receptor (IGF-1R), TrkA, p75 neurotrophin receptor, and MYCN mRNA expression by reverse transcription-PCR; (b) MYCN gene amplification by Southern blot analyses; (c) cyclin A protein expression by Western blot analyses indicating proliferation rate; and (d) apoptotic index (AI) by terminal deoxynucleotidyl transferase (Tdt)-mediated dUTP nick end-labeling assay. RESULTS:IRR mRNA expression was found in 25 (51%) neuroblastomas and correlated with stages 1, 2, 3, and 4S disease and with age </=12 months at diagnosis. IRR was expressed predominantly in neuroblastomas without MYCN gene amplification and coexpressed with IGF-1R, TrkA, and p75 neurotrophin receptor. IRR mRNA expression also correlated with an undifferentiated histology but not with the proliferation rate. In coexpression with IGF-1R, the IRR was associated with enhanced AI. IRR expression was significantly correlated with a good prognosis in all 49 neuroblastomas (6-year survival probability, 91.8% versus 49.7% for IRR nonexpression; P = 0.003). CONCLUSION:IRR expression is a new marker for a favorable prognosis in neuroblastoma that is independent of MYCN amplification and age at diagnosis. Our data suggest an influence of IRR on IGF signaling via IGF-1R because coexpression of these two receptor tyrosine kinases was significantly correlated with an undifferentiated histology, a high AI, and an advanced survival probability.
Authors: Myrthala Moreno-Smith; Anna Lakoma; Zaowen Chen; Ling Tao; Kathleen A Scorsone; Linda Schild; Kevin Aviles-Padilla; Rana Nikzad; Yankai Zhang; Rikhia Chakraborty; Jan J Molenaar; Sanjeev A Vasudevan; Vivien Sheehan; Eugene S Kim; Silke Paust; Jason M Shohet; Eveline Barbieri Journal: Clin Cancer Res Date: 2017-08-18 Impact factor: 12.531
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Authors: Raushan T Kurmasheva; Lorina Dudkin; Catherine Billups; Larisa V Debelenko; Christopher L Morton; Peter J Houghton Journal: Cancer Res Date: 2009-09-29 Impact factor: 12.701
Authors: Daria D Korotkova; Elena A Gantsova; Alexander S Goryashchenko; Fedor M Eroshkin; Oxana V Serova; Alexey S Sokolov; Fedor Sharko; Svetlana V Zhenilo; Natalia Y Martynova; Alexander G Petrenko; Andrey G Zaraisky; Igor E Deyev Journal: Int J Mol Sci Date: 2022-08-17 Impact factor: 6.208
Authors: Guak-Kim Tan; Brian A Pryce; Anna Stabio; John V Brigande; ChaoJie Wang; Zheng Xia; Sara F Tufa; Douglas R Keene; Ronen Schweitzer Journal: Elife Date: 2020-01-21 Impact factor: 8.140