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Branche Synthèse des données et classification (ESC)

Publications

Publications recentes


  1. Miranda-Filho A, Turner MC, Warnakulasuriya S, Richardson DB, Hosseini B, Kamangar F, et al. (2023). The carcinogenicity of opium consumption: a systematic review and meta-analysis. Eur J Epidemiol. Forthcoming
  2. Schmitt FC, Bubendorf L, Canberk S, Chandra A, Cree IA, Engels M, et al. (2023). The World Health Organization Reporting System for Lung Cytopathology. Acta Cytol. 67(1):80–91. https://doi.org/10.1159/000527580 PMID:36509066
  3. Schubauer-Berigan MK, Richardson DB, Fox MP, Fritschi L, Guseva Canu I, Pearce N, et al. (2023). IARC-NCI Workshop on an epidemiological toolkit to assess biases in human cancer studies for hazard identification: beyond the algorithm. Occup Environ Med. 2023 Jan 30:oemed-2022-108724. Epub ahead of print. http://dx.doi.org/10.1136/oemed-2022-108724 PMID: 36717257
  4. Bouvard V, Nethan ST, Singh D, Warnakulasuriya S, Mehrotra R, Chaturvedi AK, et al. (2022). IARC Perspective on Oral Cancer Prevention. N Engl J Med. 387(21):1999–2005. https://doi.org/10.1056/NEJMsr2210097 PMID:36378601
  5. Cierco Jimenez R, Lee T, Rosillo N, Cordova R, Cree IA, Gonzalez A, et al. (2022). Machine learning computational tools to assist the performance of systematic reviews: A mapping review. BMC Med Res Methodol. 22(1):322. https://doi.org/10.1186/s12874-022-01805-4 PMID:36522637
  6. Lauby-Secretan B, Mackie A, Wentzensen N (2022). The IARC Perspective on Cervical Cancer Screening. Reply. [Reply]. N Engl J Med. 386(6):607–8. https://doi.org/10.1056/NEJMc2119177 PMID:35139285
  7. Pitman MB, Centeno BA, Reid MD, Siddiqui MT, Layfield LJ, Perez-Machado M, et al. (2022). The World Health Organization Reporting System for Pancreaticobiliary Cytopathology. Acta Cytol. ••:1–17. https://doi.org/10.1159/000527912 PMID:36516741
  8. Samet JM, Berrington de Gonzalez A, Lunn RM, Schubauer-Berigan MK (2022). Commentary: Role and communications of cancer hazard determinations. Carcinogenesis. 43(2):79–81. https://doi.org/10.1093/carcin/bgac001 PMID:35016221
  9. Barupal DK, Schubauer-Berigan MK, Korenjak M, Zavadil J, Guyton KZ (2021). Prioritizing cancer hazard assessments for IARC Monographs using an integrated approach of database fusion and text mining. Environ Int. 156:106624. https://doi.org/10.1016/j.envint.2021.106624 PMID:33984576
  10. Bouvard V, Wentzensen N, Mackie A, Berkhof J, Brotherton J, Giorgi-Rossi P, et al. (2021). The IARC Perspective on Cervical Cancer Screening. N Engl J Med. 385(20):1908–18. https://doi.org/10.1056/NEJMsr2030640 PMID:34758259
  11. Bruford EA, Antonescu CR, Carroll AJ, Chinnaiyan A, Cree IA, Cross NCP, et al. (2021). HUGO Gene Nomenclature Committee (HGNC) recommendations for the designation of gene fusions. Leukemia. 35(11):3040–3. https://doi.org/10.1038/s41375-021-01436-6 PMID:34615987
  12. Louis DN, Perry A, Wesseling P, Brat DJ, Cree IA, Figarella-Branger D, et al. (2021). The 2021 WHO Classification of Tumors of the Central Nervous System: a summary. Neuro Oncol. 23(8):1231–51. https://doi.org/10.1093/neuonc/noab106 PMID:34185076
  13. Nagtegaal ID, Odze RD, Klimstra D, Paradis V, Rugge M, Schirmacher P, et al.; WHO Classification of Tumours Editorial Board (2020). The 2019 WHO classification of tumours of the digestive system. Histopathology. 76(2):182–8. https://doi.org/10.1111/his.13975 PMID:31433515
  14. Samet JM, Chiu WA, Cogliano V, Jinot J, Kriebel D, Lunn RM, et al. (2020). The IARC Monographs: updated procedures for modern and transparent evidence synthesis in cancer hazard identification. J Natl Cancer Inst. 112(1):30–7. https://doi.org/10.1093/jnci/djz169 PMID:31498409
  15. Smith MT, Guyton KZ, Kleinstreuer N, Borrel A, Cardenas A, Chiu WA, et al. (2020). The key characteristics of carcinogens: relationship to the hallmarks of cancer, relevant biomarkers, and assays to measure them. Cancer Epidemiol Biomarkers Prev. 29(10):1887–903. https://doi.org/10.1158/1055-9965.EPI-19-1346 PMID:32152214
  16. Steenland K, Schubauer-Berigan MK, Vermeulen R, Lunn R, Straif K, Zahm S, et al. (2020). Risk of bias assessments for evidence syntheses of observational epidemiologic studies of environmental and occupational exposures: strengths and limitations. Environ Health Perspec. https://doi.org/10.1289/EHP6980
  17. Marques M, Berrington GA, Beland F, Browne P, Demers P, Lachenmeier D, et al.; IARC Monographs Priorities Group (2019). Advisory Group recommendations on priorities for the IARC Monographs. Lancet Oncol. 20(6):763–4. https://doi.org/10.1016/S1470-2045(19)30246-3 PMID:31005580
  18. Lauby-Secretan B, Vilahur N, Bianchini F, Guha N, Straif K; International Agency for Research on Cancer Handbook Working Group (2018). The IARC Perspective on Colorectal Cancer Screening. N Engl J Med. 378(18):1734–40. https://doi.org/10.1056/NEJMsr1714643 PMID:29580179
  19. Pinsky P, Rabeneck L, Lauby-Secretan B (2018). The IARC Perspective on Colorectal Cancer Screening. N Engl J Med. 379(3):301–2. https://doi.org/10.1056/NEJMc1807173 PMID:30021099
  20. Rindi G, Klimstra DS, Abedi-Ardekani B, Asa SL, Bosman FT, Brambilla E, et al. (2018). A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal. Mod Pathol. 31(12):1770–86. https://doi.org/10.1038/s41379-018-0110-y PMID:30140036

 

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