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Repression of Multiple Myeloma Cell Growth In Vivo by Single-wall Carbon Nanotube SWCNT-delivered MALAT1 Antisense Oligos
Published on: December 13, 2018
Long non-coding RNA T-cell factor 7 in multiple myeloma: A potential biomarker for deteriorated clinical features and
Cui Zhang1, Min Chu1, Yingchao Fan1
1Department of Medical Laboratory, Shidong Hospital of Yangpu District, Shanghai, China.
Background:
This study aimed to investigate the correlation of long non-coding RNA T-cell factor 7 (lnc-TCF7) with clinical features and prognosis in patients with multiple myeloma (MM).
Methods:
Totally, 216 newly diagnosed symptomatic MM patients and 60 healthy controls (HCs) were enrolled. Bone marrow samples were collected from patients before treatment and from HCs on donation to detect lnc-TCF7 expression in plasma cells by reverse transcription quantitative polymerase chain reaction. Besides, clinical response, progression-free survival (PFS), and overall survival (OS) of patients were assessed.
Results:
Lnc-TCF7 expression was increased in patients with MM compared with HCs. Lnc-TCF7 expression was highest in international staging system (ISS) stage III patients, followed by ISS stage II patients, and then ISS stage I patients, while lnc-TCF7 expression was similar in patients with different immunoglobulin subtypes and Durie-Salmon stages. Regarding chromosomal abnormalities, lnc-TCF7 expression positively correlated with t(4; 14) and Del(17p), whereas no correlation of lnc-TCF7 expression with t(14; 16), 1q21 amplification, Del(13q), or hyperdiploid was observed in patients with MM. Furthermore, lnc-TCF7 expression positively correlated with serum creatinine, beta-2-microglobulin, and lactate dehydrogenase in patients. Besides, lnc-TCF7 was negatively associated with complete response but not overall response rate in patients. Additionally, patients with lnc-TCF7 high expression exhibited shorter PFS and OS compared to patients with lnc-TCF7 low expression.
Conclusion:
Lnc-TCF7 might have clinical value in aiding disease management and prognosis prediction of MM.

