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1. Consumption of Fish and ω-3 Fatty Acids and Cancer Risk: An Umbrella Review of Meta-Analyses of Observational Studies

Author

Hans Oh, Mingyang Song, Jae Il Shin, Ai Koyanagi, Louis Jacob, Andreas Kronbichler, Gaeun Kim, Michael Eisenhut, Eun Kyoung Choi, Sun Jae Jung, Lin Yang, Marco Solmi, Gwang Hun Jeong, Eunyoung Jung, Brendon Stubbs, Keum Hwa Lee, Eunyoung Cho, Joaquim Radua, Edward Giovannucci, NaNa Keum, Hyo Jin Seong, Nicola Veronese, Hyunbong Park, Lee Smith, Gabriele Gamerith, Giuseppe Grosso, Trevor Thompson, Elena Dragioti, Sarah E Jackson, Leandro Fórnias Machado de Rezende, Shuji Ogino, Jong Yeob Kim, Hans van Vliet, Sung Hwi Hong, Université de Versailles Saint-Quentin-en-Yvelines - UFR Sciences de la santé Simone Veil (UVSQ Santé), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), South London and Maudsley NHS Foundation Trust National Institute for Health Research, NIHR NIHR Collaboration for Leadership in Applied Health Research and Care South London National Institutes of Health, NIH: R35 CA197735 Maudsley Charity King’s College London National Institutes of Health, NIH: R35 CA197735, KHL, HJS, GK, GHJ, and JYK contributed equally to this work. The authors report no funding received for this study. Author Disclosures: The authors report no conflicts of interest. BS is supported by a Clinical Lectureship (ICA-CL-2017-03-001) jointly funded by Health Education England (HEE) and the National Institute for Health Research (NIHR), is in part funded by the NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, and is also supported by the Maudsley Charity, King’s College London, and the NIHR South London Collaboration for Leadership in Applied Health Research and Care (CLAHRC) funding. The time effort of SO was in part supported by US National Institutes of Health grant R35 CA197735. This paper presents independent research. The views expressed in this publication are those of the authors and not necessarily those of the acknowledged institutions. Address correspondence to JIS (e-mail: shinji@yuhs.ac) or EKC (e-mail: ekchoi@yuhs.ac). Supplemental Table 1 is available from the 'Supplementary data'link in the online posting of the article and from the same link in the online table of contents at https://academic.oup.com/advances. Abbreviation used: ALA, α-linolenic acid, AMSTAR2, A Measurement Tool to Assess Systematic Reviews 2, CUP, Continuous Update Project, DPA, docosapentaenoic acid, GRADE, Grading of Recommendations Assessment, Development and Evaluation, HCC, hepatocellular carcinoma, NA, not assessable, PI, prediction interval, PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses, WCRF/AICR, Word Cancer Research Fund/American Institute for Cancer Research., The time effort of SO was in part supported by US National Institutes of Health grant R35 CA197735., Lee, K.H., Seong, H.J., Kim, G., Jeong, G.H., Kim, J.Y., Park, H., Jung, E., Kronbichler, A., Eisenhut, M., Stubbs, B., Solmi, M., Koyanagi, A., Hong, S.H., Dragioti, E., De Rezende, L.F.M., Jacob, L., Keum, N., Van Der Vliet, H.J., Cho, E., Veronese, N., Grosso, G., Ogino, S., Song, M., Radua, J., Jung, S.J., Thompson, T., Jackson, S.E., Smith, L., Yang, L., Oh, H., Choi, E.K., Shin, J.I., Giovannucci, E.L., and Gamerith, G.

Subjects
Male, Risk, Oncology, medicine.medical_specialty, [SDV]Life Sciences [q-bio], BF, Medicine (miscellaneous), Review, Cohort Studies, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, Breast cancer, ω-3 fatty acid, Meta-Analysis as Topic, Neoplasms, Internal medicine, Fatty Acids, Omega-3, medicine, Animals, Humans, cancer, 030212 general & internal medicine, ω-3 fatty acid, fish, cancer, umbrella review, meta-analysis, chemistry.chemical_classification, fish, Nutrition and Dietetics, umbrella review, business.industry, Endometrial cancer, Fishes, Fatty acid, Cancer, medicine.disease, R1, 3. Good health, meta-analysis, Observational Studies as Topic, chemistry, Case-Control Studies, 030220 oncology & carcinogenesis, Meta-analysis, Female, Skin cancer, business, Liver cancer, Food Science
Abstract

Multiple studies have suggested that ω-3 fatty acid intake may have a protective effect on cancer risk; however, its true association with cancer risk remains controversial. We performed an umbrella review of meta-analyses to summarize and evaluate the evidence for the association between ω-3 fatty acid intake and cancer outcomes. We searched PubMed, Embase, and the Cochrane Database of Systematic Reviews from inception to December 1, 2018. We included meta-analyses of observational studies that examined associations between intake of fish or ω-3 fatty acid and cancer risk (gastrointestinal, liver, breast, gynecologic, prostate, brain, lung, and skin) and determined the level of evidence of associations. In addition, we appraised the quality of the evidence of significant meta-analyses by using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. We initially screened 598 articles, and 15 articles, including 57 meta-analyses, were eligible. Among 57 meta-analyses, 15 reported statistically significant results. We found that 12 meta-analyses showed weak evidence of an association between ω-3 fatty acid intake and risk of the following types of cancer: liver cancer (n = 4 of 6), breast cancer (n = 3 of 14), prostate cancer (n = 3 of 11), and brain tumor (n = 2 of 2). In the other 3 meta-analyses, studies of endometrial cancer and skin cancer, there were no assessable data for determining the evidence levels. No meta-analysis showed convincing, highly suggestive, or suggestive evidence of an association. In the sensitivity analysis of meta-analyses by study design, we found weak associations between ω-3 fatty acid intake and breast cancer risk in cohort studies, but no statistically significant association in case-control studies. However, the opposite results were found in case of brain tumor risk. Although ω-3 fatty acids have been studied in several meta-analyses with regard to a wide range of cancer outcomes, only weak associations were identified in some cancer types, with several limitations. Considering the nonsignificant or weak evidence level, clinicians and researchers should cautiously interpret reported associations between ω-3 fatty acid consumption and cancer risks. Copyright © 2020 The Author(s) on behalf of the American Society for Nutrition.

Published
2020

2. Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Author

Claire Rodriguez-Lafrasse, Myriam Decaussin-Petrucci, Philippe Pérot, Valérie Cheynet, Alain Ruffion, François Mallet, Guy Oriol, Nathalie Mugnier, BIOMERIEUX, Hospices Civils de Lyon (HCL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, This work was supported by bioMérieux SA, the Hospices Civils de Lyon and the French public agency OSEO (Advanced Diagnostics for New Therapeutic Approaches, a French government-funded program dedicated to personalized medicine). PP, VC, GO, NM, and FM are employees of bioMérieux SA. PP, NM and FM have submitted patent applications covering the findings of this paper, and We thank Cecile Montgiraud, Juliette Gimenez, Magali Jaillard and Bertrand Bonnaud for their contribution to the initial development and optimization of the HERV-V2 protocol. We also wish to thank Hader Haidous for his guidance on ethical considerations.

Subjects
Male, General Chemical Engineering, Endogenous retrovirus, Gene Expression, Genome, Transcriptome, 0302 clinical medicine, Affymetrix, Diagnosis, RNA, Neoplasm, Tumor Markers, Cancer Biology, Oligonucleotide Array Sequence Analysis, MESH: Aged, Genetics, 0303 health sciences, MESH: Middle Aged, General Neuroscience, Prostate, Middle Aged, prostate cancer, 3. Good health, MESH: DNA, Single-Stranded, 030220 oncology & carcinogenesis, Medicine, MESH: Biomarkers, Tumor, microarray, MESH: Endogenous Retroviruses, PCA3, DNA, Complementary, Human Endogenous Retroviruses, NcRNA transcription, DNA, Single-Stranded, [SDV.CAN]Life Sciences [q-bio]/Cancer, Biology, ENCODE, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], [SDV.MHEP.AHA]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO], Biomarkers, Tumor, Humans, Molecular Biology, 030304 developmental biology, Aged, Prostatectomy, MESH: Humans, General Immunology and Microbiology, Microarray analysis techniques, Pharmacological, Endogenous Retroviruses, Prostatic Neoplasms, MESH: DNA, Complementary, MESH: RNA, Neoplasm, Biological, Microarray Analysis, MESH: Male, Retroviridae, MESH: Prostatic Neoplasms, MESH: Oligonucleotide Array Sequence Analysis, Human genome, Issue 81, HERV, Biomarkers
Abstract

International audience; The prostate-specific antigen (PSA) is the main diagnostic biomarker for prostate cancer in clinical use, but it lacks specificity and sensitivity, particularly in low dosage values 1. 'How to use PSA' remains a current issue, either for diagnosis as a gray zone corresponding to a concentration in serum of 2.5-10 ng/ml which does not allow a clear differentiation to be made between cancer and noncancer 2 or for patient follow-up as analysis of post-operative PSA kinetic parameters can pose considerable challenges for their practical application 3,4. Alternatively, noncoding RNAs (ncRNAs) are emerging as key molecules in human cancer, with the potential to serve as novel markers of disease, e.g. PCA3 in prostate cancer 5,6 and to reveal uncharacterized aspects of tumor biology. Moreover, data from the ENCODE project published in 2012 showed that different RNA types cover about 62% of the genome. It also appears that the amount of transcriptional regulatory motifs is at least 4.5x higher than the one corresponding to protein-coding exons. Thus, long terminal repeats (LTRs) of human endogenous retroviruses (HERVs) constitute a wide range of putative/candidate transcriptional regulatory sequences, as it is their primary function in infectious retroviruses. HERVs, which are spread throughout the human genome, originate from ancestral and independent infections within the germ line, followed by copy-paste propagation processes and leading to multicopy families occupying 8% of the human genome (note that exons span 2% of our genome). Some HERV loci still express proteins that have been associated with several pathologies including cancer 7-10. We have designed a high-density microarray, in Affymetrix format, aiming to optimally characterize individual HERV loci expression, in order to better understand whether they can be active, if they drive ncRNA transcription or modulate coding gene expression. This tool has been applied in the prostate cancer field (Figure 1).

Published
2013