Association between high-density lipoprotein cholesterol level and risk of hematologic malignancy

Jeong, Su‐Min; Choi, Taewoong; Kim, Dahye; Han, Kyungdo; Kim, Seok Jin; Rhee, Sang Youl; Giovannucci, Edward; Shin, Dong Wook

doi:10.1038/s41375-020-01081-5

Cited by 17 publications

(21 citation statements)

References 28 publications

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“…This study clearly confirmed inverse association between lipid level and the risk of MM consistent with previous studies [ 18 , 19 , 20 ]. The magnitude of association was also similar at 1.5~2.0 times risk when comparing lowest to highest quartile of HDL-C.…”

Section: Discussionsupporting

confidence: 93%

“…A Women’s Health Initiative study involving 24 thousand women showed a borderline inverse association between HDL-C and MM (adjusted hazard ratio (aHR), 95% confidence interval (95% CI) for highest to lowest quartile = 0.56, 0.31–1.01) [ 18 ] and a recent Danish study involving 117 thousand people reported that low levels of HDL-C cholesterol were significantly associated with increased risk of MM (aHR (95% CI) for one standard deviation (SD) decrease in HDL-C = 1.73 (1.28–2.35)) [ 19 ]. Recently, our previous study showed that low HDL was associated with higher hematological cancer risk, including MM (aHR, 95% CI for lowest to highest quartile = 1.63, 1.48–1.78) [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

“…Recent epidemiologic data suggest that visit-to-visit variability in lipid levels is associated with various health outcomes, such as coronary heart disease [ 24 , 25 , 26 , 27 ], stroke [ 24 , 27 ], end-stage renal disease [ 28 ], and mortality [ 26 , 27 ]. However, to our knowledge, the role of lipid variability as a risk factor for MM has not been evaluated, including our previous study regarding lipid levels and hematological cancer risk [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

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

Choi

Han

et al. 2021

Cancers

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(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.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Choi

Han

et al. 2021

Cancers

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“…NHIDinformationhasbeenusedforvariousepidemiologic andpolicyresearch,includingtheevaluationofprevalence orincidence [87,88],identificationofdiseaseriskfactors [89][90][91][92][93][94],descriptionoftreatmentpatternordiseasecontrolstatus [95],andpharmacoepidemiology [96,97].Severalfact sheetswerealsomadewithGHSPdatafromtheNHID [98,99].…”

Section: Research Using Ghsp Informationmentioning

confidence: 99%

National General Health Screening Program in Korea: history, current status, and future direction

et al. 2022

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Health screening is an important component of health promotion programs, and countries have promoted general health screening targeting the prevention and early management of common chronic diseases. In Korea, a General Health Screening Program (GHSP) began with workers in the 1950s and continuously expanded its target population, and currently includes the adult population. The main target diseases are cerebroand cardiovascular diseases, including hypertension, diabetes mellitus, dyslipidemia, obesity, and related health behaviors. Other target conditions include other diseases (e.g., anemia, liver disease, visual/auditory impairment), mental health (e.g., depression), and geriatric disease and function (osteoporosis, dementia, risk of fall, etc.). The National Health Information Database, including GHSP information, is now extensively used in clinical and public health research. The participation rate is currently 70% to 80%, but varies according to age, disability, and the socioeconomic status. There is a need for a more systematic evaluation of the screening items, reducing disparity gaps in participation, and linking GHSP to actual health promotion.

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“…Lipid metabolism disorders are important characteristics of cancer cells that are considered potential targets for cancer therapy 13 . To date, few studies have focused on the relationship between the levels of serum lipids and prognosis in patients with MM 14,15 . The correlation between the lipid content and ratios, the prognosis of MM patients and treatment responses suggests that lipid pro les may have potential clinical signi cance both in judgment and decision making.…”

Section: Introductionmentioning

confidence: 99%

A New Prediction Model Integrated Serum Lipid Profile for Patients with Multiple Myeloma

Wang

Shao

Liu

et al. 2021

Preprint

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This study aimed to explore a predictive risk-stratification model combing clinical characteristics and lipid profiles in multiple myeloma (MM) patients. The data of 275 patients in Sun Yat-Sen University Cancer Center were retrospectively analyzed and randomly divided into the training (n = 138) and validation (n = 137) cohorts. Triglyceride, low-density lipoprotein (LDL), high-density lipoprotein (HDL), lactate dehydrogenase (LDH), Apolipoprotein B (Apo B) and Apo B / Apolipoprotein A1 (Apo A1) ratio were the prognostic factors identified through univariate and multivariate Cox analysis. A 6-prognostic factor model was constructed based on Lasso regression. Patients were divided into low- and high-risk groups and the former group showed longer overall survival (OS) time (p<0.05). The area under the curve (AUC) of the risk score model for 5-and 10-year OS were 0.756 [95% CI: 0.661-0.850] and 0.940 [95% CI: 0.883-0.997], which exhibited better accuracy than International Staging System (ISS) and Durie and Salmon (DS) stage. The nomogram integrating ISS stage and risk score increased the prediction accuracy. The model can be used to help monitor the metabolic state and to establish primary prevention strategies to identify new therapeutic targets.

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Association between high-density lipoprotein cholesterol level and risk of hematologic malignancy

Cited by 17 publications

References 28 publications

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

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

National General Health Screening Program in Korea: history, current status, and future direction

A New Prediction Model Integrated Serum Lipid Profile for Patients with Multiple Myeloma

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