Literature DB >> 32799782

Correlation of A-Kinase Interacting Protein 1 With Clinical Features, Treatment Response, and Survival Profiles in Patients With Multiple Myeloma.

Wei Wang1, Yinghua Xie2, Xiyao Han2, Yihan Liu2, Pei Li1.   

Abstract

OBJECTIVE: The present study aimed to detect A-kinase interacting protein 1 expression and further explore the association of A-kinase interacting protein 1 with clinical features and prognosis in patients with multiple myeloma.
METHODS: Totally, 152 de novo symptomatic patients with multiple myeloma and 30 healthy donors were enrolled. Bone marrow mononuclear cells derived plasma cells were collected from patients with multiple myeloma before initial treatment and from healthy donors on the enrollment, respectively, and then A-kinase interacting protein 1 protein/messenger RNA expressions were detected by Western blot and reverse transcription quantitative polymerase chain reaction. Treatment response (complete response and overall response rate) was assessed, and survival profiles (progression-free survival and overall survival) were calculated in patients with multiple myeloma.
RESULTS: A-kinase interacting protein 1 protein/messenger RNA expressions were elevated in patients with multiple myeloma compared to healthy donors, and A-kinase interacting protein 1 (area under the curve: 0.809, 95% confidence interval: 0.726-0.891)/messenger RNA (area under the curve: 0.839, 95% confidence interval: 0.764-0.914) presented good value in differentiating patients with multiple myeloma from healthy donors. In patients with multiple myeloma, A-kinase interacting protein 1 /messenger RNA expressions negatively correlated with albumin while positively correlated with Beta-2-microglobulin, lactate dehydrogenase, International Staging System stage, and t (4;14). Meanwhile, there were 39 (25.7%) complete response patients, 113 (74.3%) noncomplete response patients, 112 (73.7%) overall response rate patients, and 40 (26.3%) nonoverall response rate patients. Complete response and overall response rates were decreased in patients with high A-kinase interacting protein 1 compared to patients with low A-kinase interacting protein 1. Additionally, progression-free survival and overall survival were reduced in patients with high A-kinase interacting protein 1 compared to patients with low A-kinase interacting protein 1.
CONCLUSION: A-kinase interacting protein 1 exhibits the potency as a biomarker for multiple myeloma progression and prognosis, which implies the clinical application of A-kinase interacting protein 1 in multiple myeloma management.

Entities:  

Keywords:  A-kinase interacting protein 1; clinical features; multiple myeloma; survival; treatment response

Year:  2020        PMID: 32799782      PMCID: PMC7436786          DOI: 10.1177/1533033820935856

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  24 in total

Review 1.  The Diagnosis and Treatment of Multiple Myeloma.

Authors:  Christian Gerecke; Stephan Fuhrmann; Susanne Strifler; Martin Schmidt-Hieber; Hermann Einsele; Stefan Knop
Journal:  Dtsch Arztebl Int       Date:  2016-07-11       Impact factor: 5.594

2.  AKIP1 promotes angiogenesis and tumor growth by upregulating CXC-chemokines in cervical cancer cells.

Authors:  Wenying Zhang; Qiongwei Wu; Chao Wang; Longtao Yang; Ping Liu; Chengbin Ma
Journal:  Mol Cell Biochem       Date:  2018-03-08       Impact factor: 3.396

3.  International staging system for multiple myeloma.

Authors:  Philip R Greipp; Jesus San Miguel; Brian G M Durie; John J Crowley; Bart Barlogie; Joan Bladé; Mario Boccadoro; J Anthony Child; Herve Avet-Loiseau; Jean-Luc Harousseau; Robert A Kyle; Juan J Lahuerta; Heinz Ludwig; Gareth Morgan; Raymond Powles; Kazuyuki Shimizu; Chaim Shustik; Pieter Sonneveld; Patrizia Tosi; Ingemar Turesson; Jan Westin
Journal:  J Clin Oncol       Date:  2005-04-04       Impact factor: 44.544

4.  [2014 International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma].

Authors: 
Journal:  Nihon Rinsho       Date:  2016-07

Review 5.  Immunomodulatory Drugs in Multiple Myeloma: Mechanisms of Action and Clinical Experience.

Authors:  Sarah A Holstein; Philip L McCarthy
Journal:  Drugs       Date:  2017-04       Impact factor: 9.546

6.  AKIP1 enhances NF-kappaB-dependent gene expression by promoting the nuclear retention and phosphorylation of p65.

Authors:  Nan Gao; Kaori Asamitsu; Yurina Hibi; Takaharu Ueno; Takashi Okamoto
Journal:  J Biol Chem       Date:  2008-01-04       Impact factor: 5.157

Review 7.  NF-κB dysregulation in multiple myeloma.

Authors:  Geoffrey M Matthews; Ricardo de Matos Simoes; Eugen Dhimolea; Michal Sheffer; Sara Gandolfi; Olga Dashevsky; Jeffrey D Sorrell; Constantine S Mitsiades
Journal:  Semin Cancer Biol       Date:  2016-08-17       Impact factor: 15.707

8.  A-kinase interacting protein 1 might serve as a novel biomarker for worse prognosis through the interaction of chemokine (C-X-C motif) ligand 1/chemokine (C-X-C motif) ligand 2 in acute myeloid leukemia.

Authors:  Xiaohong Hao; Mianmian Gu; Jie Sun; Lin Cong
Journal:  J Clin Lab Anal       Date:  2019-10-16       Impact factor: 2.352

9.  MiR-320 regulates cardiomyocyte apoptosis induced by ischemia-reperfusion injury by targeting AKIP1.

Authors:  Zhi-Qiang Tian; Hong Jiang; Zhi-Bing Lu
Journal:  Cell Mol Biol Lett       Date:  2018-08-28       Impact factor: 5.787

10.  Upregulation of AKIP1 contributes to metastasis and progression and predicts poor prognosis of patients with colorectal cancer.

Authors:  Weifang Jiang; Weiji Yang; Li Yuan; Fanlong Liu
Journal:  Onco Targets Ther       Date:  2018-10-11       Impact factor: 4.147

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  2 in total

1.  Prognostic significance of A-kinase interacting protein 1 expression in various cancers: A meta-analysis based on the Chinese population.

Authors:  Shanshan Xue; Chuanmeng Zhang; Jie Xu; Chenglin Zhou
Journal:  Medicine (Baltimore)       Date:  2022-06-24       Impact factor: 1.817

2.  Upregulation of a kinase interacting protein 1 in tongue squamous cell carcinoma correlates with lymph node metastasis and poor overall survival.

Authors:  Ying Sun; Guang Shi; Chao Ma; Jianjun Jiao; Yingqi Liu; Qingling Gao; Xueqiang Zhang; Qiang Feng
Journal:  Medicine (Baltimore)       Date:  2021-04-09       Impact factor: 1.889

  2 in total

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