Literature DB >> 33572660

Lipid Level, Lipid Variability, and Risk of Multiple Myeloma: A Nationwide Population-Based Study of 3,527,776 Subjects.

Taewoong Choi1, In Young Choi2, Kyungdo Han3, Su-Min Jeong4,5, Jung Eun Yoo6, Sang Youl Rhee7, Yong-Gyu Park8, Dong Wook Shin9,10,11.   

Abstract

(1) Background: There is evidence that abnormality in lipid metabolism promotes cancer development. This study investigated whether lipid level and its variability are associated with the development of MM at a population level. (2)
Methods: A retrospective cohort study included a total of 3,527,776 subjects aged 40 and above who participated in ≥3 health examinations within the previous five years, including the index year (2012-2013). Total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglyceride (TG) were measured, and visit-to-visit lipid variability were calculated by variability independent of the mean (VIM) method. The study population was followed from the health examination date in the index year until the diagnosis of MM, death, or the last follow-up date (31 December 2017). (3)
Results: During a median (5-95%) 5.1 years of follow-up, 969 subjects developed MM. A lower risk of MM was observed with higher quartiles of baseline lipid levels compared to the lowest quartile group (Q4 vs. Q1: adjusted hazard ratios (aHRs) 0.51, 95% confidence interval (CI) (0.42-0.61) for TC; 0.50 (0.41-0.61) for HDL-C; 0.65 (0.54-0.77) for LDL-C; and 0.72 (0.60-0.87) for TG in model (3). Among all lipid measures, only variability in HDL-C was associated with risk of MM: aHRs (95% CI) were 1.12 (0.91-1.38), 1.19 (0.97-1.46), and 1.34 (1.09-1.65) in the Q2, Q3, and Q4, respectively, compared to the Q1 of VIM of HDL-C. (4) Conclusions: This study shows that patients with lower lipid levels and high HDL-C variability are at increased risk of developing MM.

Entities:  

Keywords:  lipid level; lipid variability; multiple myeloma; risk

Year:  2021        PMID: 33572660      PMCID: PMC7866996          DOI: 10.3390/cancers13030540

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  4 in total

1.  Serum Abnormal Metabolites for Evaluating Therapeutic Response and Prognosis of Patients With Multiple Myeloma.

Authors:  Yujun Wei; Jinying Wang; Fei Chen; Xin Li; Jiajia Zhang; Man Shen; Ran Tang; Zhongxia Huang
Journal:  Front Oncol       Date:  2022-02-28       Impact factor: 6.244

2.  Association between Cholesterol Level and the Risk of Hematologic Malignancy According to Menopausal Status: A Korean Nationwide Cohort Study.

Authors:  Wonyoung Jung; Keun Hye Jeon; Jihun Kang; Taewoong Choi; Kyungdo Han; Sang-Man Jin; Su-Min Jeong; Dong Wook Shin
Journal:  Biomedicines       Date:  2022-07-06

3.  Association of Metabolic Parameter Variability with Esophageal Cancer Risk: A Nationwide Population-Based Study.

Authors:  Ji Eun Lee; Kyungdo Han; Juhwan Yoo; Yohwan Yeo; In Young Cho; Belong Cho; Hyuktae Kwon; Dong Wook Shin; Jong Ho Cho; Yong-Moon Park
Journal:  J Pers Med       Date:  2022-03-01

Review 4.  Modulation of Cellular Redox Parameters for Improving Therapeutic Responses in Multiple Myeloma.

Authors:  Alessandro Allegra; Claudia Petrarca; Mario Di Gioacchino; Marco Casciaro; Caterina Musolino; Sebastiano Gangemi
Journal:  Antioxidants (Basel)       Date:  2022-02-25
  4 in total

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