Literature DB >> 12853345

Survivin and aven: two distinct antiapoptotic signals in acute leukemias.

S Paydas1, K Tanriverdi, S Yavuz, U Disel, B Sahin, R Burgut.   

Abstract

BACKGROUND: Antiapoptotic signals are important in the development, progression and prognosis of malignant tumors. The aim of this study was to determine the two distinct antiapoptotic signals-survivin and aven-in acute leukemias and compare them with clinical and hematological findings and response to therapy. Real-time quantitative PCR was used and survivin and aven were detected at the messenger (m)RNA level. PATIENTS AND METHODS: Sixty-five patients with acute leukemia [37 with acute myeloblastic leukemia (AML) and 28 with acute lymphoblastic leukemia (ALL)] were used as the study group and 10 healthy subjects were used as the control group.
RESULTS: Survivin was between 0.0 and 0.829 copy number/cell (median 0.0721, mean 0.5424301909 +/- 0.139799488589) and aven was between 0.0 and 0.853 copy number/cell (median 0.0124, mean 0.070335542 +/- 0.1524685709). We found an important association between survivin and aven (P = 0.000). Both survivin and aven were higher in the study group than in the controls (P = 0.001 and 0.035, respectively). When we compared survivin and aven with other clinical and hematological parameters, there was an important association between survivin and extramedullary involvement (P = 0.033), survivin and alkaline phosphatase (P = 0.06), white blood cell (WBC) count and lactate dehydrogenase (LDH) (P = 0.000), WBC count and uric acid (P = 0.074), hemoglobin level and LDH (P = 0.072), LDH and uric acid (P = 0.057), CD7 expression and survivin (P = 0.097), and CD34 expression and aven (P = 0.058). Response to therapy was evaluated according to the survivin and aven levels. Survivin level was lower in refractory patients as compared with complete responders (P = 0.085). Aven level was higher in patients with relapse as compared with non-relapse patients (P = 0.04). There was no important association between survivin or aven and performance status, lymphadenopathy or organomegaly.
CONCLUSIONS: Both survivin and aven are important antiapoptotic signals in acute leukemias, and the association between extramedullary involvement, CD7 expression and CD34 expression, which are important poor prognostic indicators in acute leukemias, suggests that survivin and/or aven may be novel prognostic indicators in acute leukemias. Further studies with a higher number of patients will be more informative.

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Year:  2003        PMID: 12853345     DOI: 10.1093/annonc/mdg277

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  15 in total

1.  Aven-dependent activation of ATM following DNA damage.

Authors:  Jessie Yanxiang Guo; Ayumi Yamada; Taisuke Kajino; Judy Qiju Wu; Wanli Tang; Christopher D Freel; Junjie Feng; B Nelson Chau; Michael Zhuo Wang; Seth S Margolis; Hae Yong Yoo; Xiao-Fan Wang; William G Dunphy; Pablo M Irusta; J Marie Hardwick; Sally Kornbluth
Journal:  Curr Biol       Date:  2008-06-19       Impact factor: 10.834

2.  BIRC5 (survivin) splice variant expression correlates with refractory disease and poor outcome in pediatric acute myeloid leukemia: a report from the Children's Oncology Group.

Authors:  Andrew S Moore; Todd A Alonzo; Robert B Gerbing; Beverly J Lange; Nyla A Heerema; Janet Franklin; Susana C Raimondi; Betsy A Hirsch; Alan S Gamis; Soheil Meshinchi
Journal:  Pediatr Blood Cancer       Date:  2013-10-11       Impact factor: 3.167

3.  Prognostic significance of survivin in pediatric acute lymphoblastic leukemia.

Authors:  Asmaa M Esh; Maha Atfy; Nashwa A Azizi; Mohamed M El Naggar; Ebtesam E Khalil; Layla Sherief
Journal:  Indian J Hematol Blood Transfus       Date:  2011-02-12       Impact factor: 0.900

4.  The Apaf-1-binding protein Aven is cleaved by Cathepsin D to unleash its anti-apoptotic potential.

Authors:  I M Melzer; S B M Fernández; S Bösser; K Lohrig; U Lewandrowski; D Wolters; S Kehrloesser; M-L Brezniceanu; A C Theos; P M Irusta; F Impens; K Gevaert; M Zörnig
Journal:  Cell Death Differ       Date:  2012-03-02       Impact factor: 15.828

5.  A novel small molecular STAT3 inhibitor, LY5, inhibits cell viability, cell migration, and angiogenesis in medulloblastoma cells.

Authors:  Hui Xiao; Hemant Kumar Bid; David Jou; Xiaojuan Wu; Wenying Yu; Chenglong Li; Peter J Houghton; Jiayuh Lin
Journal:  J Biol Chem       Date:  2014-10-13       Impact factor: 5.157

6.  Effect of ligand troglitazone on peroxisome proliferator-activated receptor gamma expression and cellular growth in human colon cancer cells.

Authors:  Mei Ming; Jie-Ping Yu; Xiang-Zhi Meng; Yan-Hong Zhou; Hong-Gang Yu; He-Sheng Luo
Journal:  World J Gastroenterol       Date:  2006-12-07       Impact factor: 5.742

7.  Identification of dAven, a Drosophila melanogaster ortholog of the cell cycle regulator Aven.

Authors:  Sige Zou; Joy Chang; Leesa LaFever; Wangli Tang; Erika L Johnson; Jack Hu; Ronit Wilk; Henry M Krause; Daniela Drummond-Barbosa; Pablo M Irusta
Journal:  Cell Cycle       Date:  2011-03-15       Impact factor: 4.534

8.  Clinical relevance of survivin as a biomarker in neoplasms, especially in adult T-cell leukemias and acute leukemias.

Authors:  Kazuyuki Sugahara; Akiko Uemura; Hitomi Harasawa; Hiroshi Nagai; Yoichi Hirakata; Masao Tomonaga; Kenn Murata; Hiroshi Sohda; Toru Nakagoe; Sin-ichi Shibasaki; Yasuaki Yamada; Shimeru Kamihira
Journal:  Int J Hematol       Date:  2004-07       Impact factor: 2.490

9.  Procyanidin B2 3,3(″)-di-O-gallate, a biologically active constituent of grape seed extract, induces apoptosis in human prostate cancer cells via targeting NF-κB, Stat3, and AP1 transcription factors.

Authors:  Alpna Tyagi; Komal Raina; Suraj Prakash Shrestha; Bettina Miller; John A Thompson; Michael F Wempe; Rajesh Agarwal; Chapla Agarwal
Journal:  Nutr Cancer       Date:  2013-11-05       Impact factor: 2.900

10.  Aven recognition of RNA G-quadruplexes regulates translation of the mixed lineage leukemia protooncogenes.

Authors:  Palaniraja Thandapani; Jingwen Song; Valentina Gandin; Yutian Cai; Samuel G Rouleau; Jean-Michel Garant; Francois-Michel Boisvert; Zhenbao Yu; Jean-Pierre Perreault; Ivan Topisirovic; Stéphane Richard
Journal:  Elife       Date:  2015-08-12       Impact factor: 8.140

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