BACKGROUND: Apolipoprotein E (ApoE), a protein primarily involved in lipoprotein metabolism, occurs in three isoforms (E2, E3 and E4). Studies evaluating the association between APOE genotype and incidence of malignancies have given inconclusive results. OBJECTIVE: The objective of the present study was to analyze the association between APOE genotype and incidence of cancer by a meta-analysis. METHODS: We conducted a literature search in the electronic databases for studies with information on APOE genotype in malignancies. Sixteen studies (14 case-control and 2 cohort; 77,970 controls and 12,010 cases) were included for the present meta-analysis. Pooled odds ratios (OR) with 95 % confidence intervals (CI) were calculated assuming a random-effect model for all the genotypes and alleles. Subgroup analyses based on study design, ethnicity of populations, site of cancer and source of controls were performed as a post hoc measure. Appropriate tests to detect heterogeneity, publication bias and sensitivity were done at all stages. The review protocol is registered with the PROSPERO database vide registration number CRD42013006496. RESULTS: The pooled effect measure for the comparisons did not reveal an association in primary analyses. In the subgroup analyses, we observed a negative association between APOE4+ genotypes and overall risk of cancer in the cohort study subgroup (pooled OR 0.86; 95 % CI 0.82-0.91; p < 0.00001; I (2) = 0 %). Sensitivity analyses did not alter the overall pooled effect measure, and there were no evidences to suggest a publication bias. CONCLUSION: Overall, the present meta-analysis did not show any association between APOE alleles and genotypes with incidence of cancer in general.
BACKGROUND:Apolipoprotein E (ApoE), a protein primarily involved in lipoprotein metabolism, occurs in three isoforms (E2, E3 and E4). Studies evaluating the association between APOE genotype and incidence of malignancies have given inconclusive results. OBJECTIVE: The objective of the present study was to analyze the association between APOE genotype and incidence of cancer by a meta-analysis. METHODS: We conducted a literature search in the electronic databases for studies with information on APOE genotype in malignancies. Sixteen studies (14 case-control and 2 cohort; 77,970 controls and 12,010 cases) were included for the present meta-analysis. Pooled odds ratios (OR) with 95 % confidence intervals (CI) were calculated assuming a random-effect model for all the genotypes and alleles. Subgroup analyses based on study design, ethnicity of populations, site of cancer and source of controls were performed as a post hoc measure. Appropriate tests to detect heterogeneity, publication bias and sensitivity were done at all stages. The review protocol is registered with the PROSPERO database vide registration number CRD42013006496. RESULTS: The pooled effect measure for the comparisons did not reveal an association in primary analyses. In the subgroup analyses, we observed a negative association between APOE4+ genotypes and overall risk of cancer in the cohort study subgroup (pooled OR 0.86; 95 % CI 0.82-0.91; p < 0.00001; I (2) = 0 %). Sensitivity analyses did not alter the overall pooled effect measure, and there were no evidences to suggest a publication bias. CONCLUSION: Overall, the present meta-analysis did not show any association between APOE alleles and genotypes with incidence of cancer in general.
Authors: Gordon H Guyatt; Andrew D Oxman; Gunn E Vist; Regina Kunz; Yngve Falck-Ytter; Pablo Alonso-Coello; Holger J Schünemann Journal: BMJ Date: 2008-04-26
Authors: K B Moysich; J L Freudenheim; J A Baker; C B Ambrosone; E D Bowman; E F Schisterman; J E Vena; P G Shields Journal: Mol Carcinog Date: 2000-01 Impact factor: 4.784
Authors: Andrew J Murphy; Mani Akhtari; Sonia Tolani; Tamara Pagler; Nora Bijl; Chao-Ling Kuo; Mi Wang; Marie Sanson; Sandra Abramowicz; Carrie Welch; Andrea E Bochem; Jan Albert Kuivenhoven; Laurent Yvan-Charvet; Alan R Tall Journal: J Clin Invest Date: 2011-10 Impact factor: 14.808
Authors: L A Farrer; L A Cupples; J L Haines; B Hyman; W A Kukull; R Mayeux; R H Myers; M A Pericak-Vance; N Risch; C M van Duijn Journal: JAMA Date: 1997 Oct 22-29 Impact factor: 56.272
Authors: Shantell C Nolen; Marcella A Evans; Avital Fischer; Maria M Corrada; Claudia H Kawas; Daniela A Bota Journal: Mech Ageing Dev Date: 2017-05-11 Impact factor: 5.432
Authors: Benjamin N Ostendorf; Jana Bilanovic; Nneoma Adaku; Kimia N Tafreshian; Bernardo Tavora; Roger D Vaughan; Sohail F Tavazoie Journal: Nat Med Date: 2020-05-25 Impact factor: 53.440
Authors: Alexander M Kulminski; Nalini Raghavachari; Konstantin G Arbeev; Irina Culminskaya; Liubov Arbeeva; Deqing Wu; Svetlana V Ukraintseva; Kaare Christensen; Anatoliy I Yashin Journal: Biogerontology Date: 2016-07-22 Impact factor: 4.277
Authors: Sandra Mastroianno; Giuseppe Di Stolfo; Davide Seripa; Michele Antonio Pacilli; Giulia Paroni; Carlo Coli; Maria Urbano; Carmela d'Arienzo; Carolina Gravina; Domenico Rosario Potenza; Giovanni De Luca; Antonio Greco; Aldo Russo Journal: PLoS One Date: 2017-03-01 Impact factor: 3.240