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Approaches and methods to study wildlife cancer

  • Mathieu Giraudeau
  • , Orsolya Vincze
  • , Sophie M. Dupont
  • , Tuul Sepp
  • , Ciara Baines
  • , Jean Francois Lemaitre
  • , Karin Lemberger
  • , Sophie Gentès
  • , Amy Boddy
  • , Antoine M. Dujon
  • , Georgina Bramwell
  • , Valerie Harris
  • , Beata Ujvari
  • , Catherine Alix-Panabières
  • , Stephane Lair
  • , David Sayag
  • , Dalia A. Conde
  • , Fernando Colchero
  • , Tara M. Harrison
  • , Samuel Pavard
  • Benjamin Padilla-Morales, Damien Chevallier, Rodrigo Hamede, Benjamin Roche, Tamas Malkocs, Athena C. Aktipis, Carlo Maley, James DeGregori, Guillaume Le Loc’h, Frédéric Thomas
  • Littoral Environnement et Sociétés (LIENSs)
  • University of Bordeaux
  • Babeş-Bolyai University
  • HUN-REN–UD Conservation Biology Research Group
  • Institut d'Astrophysique de Paris
  • University of Tartu
  • Leeds Metropolitan University
  • Université Claude Bernard Lyon 1
  • Vet Diagnostics
  • University of California Santa Barbara
  • Deakin University
  • IRD 224–CNRS5290–Université de Montpellier
  • Arizona State University
  • Centre de Recherches Ecologiques et Evolutives sur le Cancer
  • University Medical Centre of Montpellier
  • Université de Montréal
  • ONCOnseil—Unité d'expertise en oncologie vétérinaire
  • University of Southern Denmark
  • Max Planck Institute for Evolutionary Anthropology
  • North Carolina State University
  • Université Paris Cité
  • Centre for Therapeutic Innovation University of Bath
  • University of Tasmania
  • Centre de Recherche en Écologie et Évolution de la Santé (CREES)
  • Universidad Nacional Autónoma de México
  • IUEM
  • University of Colorado School of Medicine
  • École Nationale Vétérinaire de Toulouse

Research output: Contribution to journalArticlepeer-review

2   Link opens in a new tab Citations (SciVal)

Abstract

The last few years have seen a surge of interest from field ecologists and evolutionary biologists to study neoplasia and cancer in wildlife. This contributes to the One Health Approach, which investigates health issues at the intersection of people, wild and domestic animals, together with their changing environments. Nonetheless, the emerging field of wildlife cancer is currently constrained by methodological limitations in detecting cancer using non-invasive sampling. In addition, the suspected differential susceptibility and resistance of species to cancer often make the choice of a unique model species difficult for field biologists. Here, we provide an overview of the importance of pursuing the study of cancer in non-model organisms and we review the currently available methods to detect, measure and quantify cancer in the wild, as well as the methodological limitations to be overcome to develop novel approaches inspired by diagnostic techniques used in human medicine. The methodology we propose here will help understand and hopefully fight this major disease by generating general knowledge about cancer, variation in its rates, tumour-suppressor mechanisms across species as well as its link to life history and physiological characters. Moreover, this is expected to provide key information about cancer in wildlife, which is a top priority due to the accelerated anthropogenic change in the past decades that might favour cancer progression in wild populations.

Original languageEnglish
Pages (from-to)1410-1428
Number of pages19
JournalJournal of Animal Ecology
Volume93
Issue number10
Early online date27 Aug 2024
DOIs
Publication statusPublished - 31 Oct 2024

Funding

We express our gratitude to the two anonymous reviewers and the Associate Editor for their meticulous reviews and valuable contributions that greatly enhanced the quality of this work. MG was supported by the ANR COVER (ANR-23-CE02-0019) and the Chaire d'excellence \u2018Cancer et Biodiversit\u00E9\u2019. OV was supported by the National Scientific Research Fund (OTKA K143421). SMD was supported by the Fonds Europ\u00E9en de D\u00E9veloppement R\u00E9gional PO/FEDER/FSE 2014-2020 - Collectivit\u00E9 Territoriale de Martinique (Convention N\u00B0 MQ0017449). CCM was supported in part by NIH grants U54 CA217376, U2C CA233254, P01 CA91955 and R01 CA140657 as well as CDMRP Breast Cancer Research Program Award BC132057 and the Arizona Biomedical Research Commission grant ADHS18-198847. FT is supported by the CNRS, the Hoffmann Family and by the following grant: EVOSEXCAN project (ANR-23-CE13-0007). TS was supported by the Estonian Research Council grant PSG653, RH by Australian Research Council (DE170101116 and LP170101105), AOU by a PAPPIT-DGAPA-UNAM grant (IN200920), a Natural Environment Research Council grant (NE/P004121/1), and Royal Society Funding (DH071902, RG0870644 and RG080272), CAP by the ELBA project that has received funding from the European Union Horizon 2020 Research and Innovation Program under the Marie Sk\u0142odowska-Curie grant agreement no.: 765492. CAP is also supported by the National Institute of Cancer (INCa, http://www.e-cancer.fr), SIRIC Montpellier Cancer Grant INCa_Inserm_DGOS_12553 and the ERA-NET TRANSCAN 2 JTC 2016 PROLIPSY. We thank Vivian Klimushev for authoring Figure\u00A01. We express our gratitude to the two anonymous reviewers and the Associate Editor for their meticulous reviews and valuable contributions that greatly enhanced the quality of this work. MG was supported by the ANR COVER (ANR\u201023\u2010CE02\u20100019) and the Chaire d'excellence \u2018Cancer et Biodiversit\u00E9\u2019. OV was supported by the National Scientific Research Fund (OTKA K143421). SMD was supported by the Fonds Europ\u00E9en de D\u00E9veloppement R\u00E9gional PO/FEDER/FSE 2014\u20102020 \u2010 Collectivit\u00E9 Territoriale de Martinique (Convention N\u00B0 MQ0017449). CCM was supported in part by NIH grants U54 CA217376, U2C CA233254, P01 CA91955 and R01 CA140657 as well as CDMRP Breast Cancer Research Program Award BC132057 and the Arizona Biomedical Research Commission grant ADHS18\u2010198847. FT is supported by the CNRS, the Hoffmann Family and by the following grant: EVOSEXCAN project (ANR\u201023\u2010CE13\u20100007). TS was supported by the Estonian Research Council grant PSG653, RH by Australian Research Council (DE170101116 and LP170101105), AOU by a PAPPIT\u2010DGAPA\u2010UNAM grant (IN200920), a Natural Environment Research Council grant (NE/P004121/1), and Royal Society Funding (DH071902, RG0870644 and RG080272), CAP by the ELBA project that has received funding from the European Union Horizon 2020 Research and Innovation Program under the Marie Sk\u0142odowska\u2010Curie grant agreement no.: 765492. CAP is also supported by the National Institute of Cancer (INCa, http://www.e\u2010cancer.fr ), SIRIC Montpellier Cancer Grant INCa_Inserm_DGOS_12553 and the ERA\u2010NET TRANSCAN 2 JTC 2016 PROLIPSY. We thank Vivian Klimushev for authoring Figure 1 .

FundersFunder number
H2020 Marie Skłodowska-Curie Actions
Centre national de la recherche scientifique
National Cancer Institute
ELBA
PAPPIT-DGAPA-UNAM
EU - Horizon 2020765492
Arizona Biomedical Research CommissionADHS18‐198847
Australian Research CouncilDE170101116, LP170101105
Institut National Du Cancer12553, DGOS_12553
Eesti TeadusagentuurPSG653
Collectivité Territoriale de MartiniqueMQ0017449
American Ornithologists' UnionIN200920
European Regional Development FundMQ0017449
French National Research AgencyANR‐23‐CE02‐0019
National Institutes of HealthBC132057, U54 CA217376, P01 CA91955, U2C CA233254, R01 CA140657
Royal SocietyDH071902, RG080272, RG0870644
Natural Environment Research CouncilNE/P004121/1
National Scientific Research FundOTKA K143421
Hoffmann FamilyANR‐23‐CE13‐0007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cancer
  • cancer diagnostic
  • disease ecology
  • One Health
  • wildlife disease

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Animal Science and Zoology

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