Literature DB >> 28425616

Statin use and risk of multiple myeloma: An analysis from the cancer research network.

Mara M Epstein1, George Divine2, Chun R Chao3, Karen E Wells2, Heather Spencer Feigelson4, Delia Scholes5, Douglas Roblin6, Marianne Ulcickas Yood7, Lawrence S Engel8, Andrew Taylor2, Joan Fortuny9, Laurel A Habel10, Christine C Johnson2.   

Abstract

Animal and human data suggest statins may be protective against developing multiple myeloma; however, findings may be biased by the interrelationship with lipid levels. We investigated the association between statin use and risk of multiple myeloma in a large US population, with an emphasis on accounting for this potential bias. We conducted a case-control study nested within 6 US integrated healthcare systems participating in the National Cancer Institute-funded Cancer Research Network. Adults aged ≥40 years who were diagnosed with multiple myeloma from 1998-2008 were identified through cancer registries (N = 2,532). For each case, five controls were matched on age, sex, health plan, and membership duration prior to diagnosis/index date. Statin prescriptions were ascertained from electronic pharmacy records. To address potential biases related to lipid levels and medication prescribing practices, multivariable marginal structural models were used to model statin use (≥6 cumulative months) and risk of multiple myeloma, with examination of multiple latency periods. Statin use 48-72 months prior to diagnosis/index date was associated with a suggestive 20-28% reduced risk of developing multiple myeloma, compared to non-users. Recent initiation of statins was not associated with myeloma risk (risk ratio range 0.90-0.99 with 0-36 months latency). Older patients had more consistent protective associations across all latency periods (risk ratio range 0.67-0.87). Our results suggest that the association between statin use and multiple myeloma risk may vary by exposure window and age. Future research is warranted to investigate the timing of statin use in relation to myeloma diagnosis.
© 2017 UICC.

Entities:  

Keywords:  marginal structural models; multiple myeloma; statin; time-varying confounding

Mesh:

Substances:

Year:  2017        PMID: 28425616      PMCID: PMC5508532          DOI: 10.1002/ijc.30745

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  41 in total

1.  Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures.

Authors:  Babette A Brumback; Miguel A Hernán; Sebastien J P A Haneuse; James M Robins
Journal:  Stat Med       Date:  2004-03-15       Impact factor: 2.373

2.  Statin prescriptions and breast cancer recurrence risk: a Danish nationwide prospective cohort study.

Authors:  Thomas P Ahern; Lars Pedersen; Maja Tarp; Deirdre P Cronin-Fenton; Jens Peter Garne; Rebecca A Silliman; Henrik Toft Sørensen; Timothy L Lash
Journal:  J Natl Cancer Inst       Date:  2011-08-02       Impact factor: 13.506

Review 3.  Statins are associated with reduced risk of gastric cancer: a systematic review and meta-analysis.

Authors:  P P Singh; S Singh
Journal:  Ann Oncol       Date:  2013-04-18       Impact factor: 32.976

4.  Exploiting the mevalonate pathway to distinguish statin-sensitive multiple myeloma.

Authors:  James W Clendening; Aleksandra Pandyra; Zhihua Li; Paul C Boutros; Anna Martirosyan; Richard Lehner; Igor Jurisica; Suzanne Trudel; Linda Z Penn
Journal:  Blood       Date:  2010-04-01       Impact factor: 22.113

Review 5.  Building a research consortium of large health systems: the Cancer Research Network.

Authors:  Edward H Wagner; Sarah M Greene; Gene Hart; Terry S Field; Suzanne Fletcher; Ann M Geiger; Lisa J Herrinton; Mark C Hornbrook; Christine C Johnson; Judy Mouchawar; Sharon J Rolnick; Victor J Stevens; Stephen H Taplin; Dennis Tolsma; Thomas M Vogt
Journal:  J Natl Cancer Inst Monogr       Date:  2005

6.  Risk of multiple myeloma following medication use and medical conditions: a case-control study in Connecticut women.

Authors:  Ola Landgren; Yawei Zhang; Sheila Hoar Zahm; Peter Inskip; Tongzhang Zheng; Dalsu Baris
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-11-28       Impact factor: 4.254

7.  Use of hydroxy-methyl-glutaryl coenzyme A reductase inhibitors is associated with risk of lymphoid malignancies.

Authors:  Hiroshi Iwata; Keitaro Matsuo; Shigeo Hara; Kengo Takeuchi; Tomonori Aoyama; Naoko Murashige; Yoshinobu Kanda; Shin-Ichiro Mori; Risturo Suzuki; Shintaro Tachibana; Masaaki Yamane; Masato Odawara; Yoshitomo Mutou; Masahiro Kami
Journal:  Cancer Sci       Date:  2006-02       Impact factor: 6.716

Review 8.  The Role of Cholesterol in Cancer.

Authors:  Omer F Kuzu; Mohammad A Noory; Gavin P Robertson
Journal:  Cancer Res       Date:  2016-04-05       Impact factor: 12.701

Review 9.  Statins are associated with reduced risk of esophageal cancer, particularly in patients with Barrett's esophagus: a systematic review and meta-analysis.

Authors:  Siddharth Singh; Abha Goyal Singh; Preet Paul Singh; Mohammad Hassan Murad; Prasad G Iyer
Journal:  Clin Gastroenterol Hepatol       Date:  2013-01-26       Impact factor: 11.382

10.  Thalidomide, dexamethasone and lovastatin with autologous stem cell transplantation as a salvage immunomodulatory therapy in patients with relapsed and refractory multiple myeloma.

Authors:  Marek Hus; Norbert Grzasko; Marta Szostek; Andrzej Pluta; Grzegorz Helbig; Dariusz Woszczyk; Maria Adamczyk-Cioch; Dariusz Jawniak; Wojciech Legiec; Marta Morawska; Justyna Kozinska; Piotr Waciński; Anna Dmoszynska
Journal:  Ann Hematol       Date:  2011-06-23       Impact factor: 3.673

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  5 in total

Review 1.  Lipid rafts as signaling hubs in cancer cell survival/death and invasion: implications in tumor progression and therapy: Thematic Review Series: Biology of Lipid Rafts.

Authors:  Faustino Mollinedo; Consuelo Gajate
Journal:  J Lipid Res       Date:  2020-11-07       Impact factor: 5.922

Review 2.  Lipid rafts as signaling hubs in cancer cell survival/death and invasion: implications in tumor progression and therapy.

Authors:  Faustino Mollinedo; Consuelo Gajate
Journal:  J Lipid Res       Date:  2020-01-27       Impact factor: 5.922

3.  Components of metabolic syndrome in patients with multiple myeloma and smoldering multiple myeloma.

Authors:  Efrat Markus; Svetlana Trestman; Yael Cohen; Yoel Angel; Yael Sofer; Moshe Mittelman; Irit Avivi; Naftali Stern; Elena Izkhakov
Journal:  BMC Cancer       Date:  2020-05-30       Impact factor: 4.430

Review 4.  Metabolic Disorders in Multiple Myeloma.

Authors:  Maria Gavriatopoulou; Stavroula A Paschou; Ioannis Ntanasis-Stathopoulos; Meletios A Dimopoulos
Journal:  Int J Mol Sci       Date:  2021-10-22       Impact factor: 5.923

5.  A new prediction model integrated serum lipid profile for patients with multiple myeloma.

Authors:  Huizhong Wang; Biyun Chen; Ruonan Shao; Wenjian Liu; Lang Xiong; Li Li; Yue Lu
Journal:  J Cancer       Date:  2022-03-14       Impact factor: 4.207

  5 in total

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