Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2025 Oct 1.
Published in final edited form as: Nat Rev Cancer. 2025 Jun 27;25(9):740–748. doi: 10.1038/s41568-025-00841-8

Advancing cancer research via comparative oncology

Orsolya Vincze 1,2, Benjamin Spada 1, David Bilder 3, Alex Cagan 4, James DeGregori 5, Vera Gorbunova 6, Carlo C Maley 7, Joshua D Schiffman 8,9, Andrei Seluanov 6, Mathieu Giraudeau 2,*, Thomas Pradeu 1,10,*
PMCID: PMC12483146  NIHMSID: NIHMS2101960  PMID: 40579566

Abstract

In the ongoing battle against cancer, the natural world provides promising inspiration for designing novel therapeutic strategies. The field of comparative oncology offers a valuable source of such inspiration. By combining evolutionary biology, ecology, veterinary medicine, and clinical oncology, comparative oncology aims to better understand cancer, especially by highlighting taxa that are strongly resistant or susceptible to cancer and to identify the molecular and cellular mechanisms underlying the remarkable cancer resistance of some taxa. Such studies hold profound implications for human cancer research and treatment and increase the probability of detecting therapeutic avenues that are non-toxic to healthy cells and tissues. This Perspective underscores the importance of comparative oncology, emphasizes its relevance, and showcases recent breakthroughs in identifying natural cancer resistance mechanisms and opportunities for clinical translation. We advocate for a better integration of cancer research on non-conventional model species into oncology and we urge enhanced cooperation between clinicians and comparative oncologists to advance cancer prevention or treatment strategies.

Table of Contents summary

Comparative oncology combines evolutionary biology, ecology, veterinary medicine, and clinical oncology to better understand cancer, for example, by identifying the molecular and cellular mechanisms underlying the remarkable cancer resistance of some taxa. Therefore, this Perspective by Vincze et al. calls for the increased use of non-conventional model organisms in cancer research to advance cancer prevention and treatment strategies.

Introduction

The landscape of cancer research is evolving rapidly, driven by the mounting prevalence of the disease and by new hopes of finding effective treatments for patients. The field of comparative oncology broadens the conventional view of cancer by shedding light on manifestations of this disease across the tree of life, including mechanisms of its initiation and progression and different resistance mechanisms on a broad scale. Comparative oncology has two main driving goals. The first is to offer a deeper and more integrative understanding of what cancer is. The second is to find novel treatments for patients, by drawing inspiration from natural cancer resistance mechanisms that have evolved in diverse species. Comparative oncology has deep historical roots. Comparisons of tumorigenic processes and discussions over possible common etiologies in humans, animals, and even plants have been taking place since the late 19th and early 20th centuries (e.g., 1,2). Nonetheless, this approach has been largely overlooked, hindering the possibility of drawing fruitful lessons for the clinic. Thus, it is now critical to showcase the value of comparative oncology in order to promote crosstalk between cancer researchers and oncologists.

In this Perspective, we reflect on thirty years of modern comparative oncology and highlight five key insights that can be gleaned from studying cancer across a variety of species. We underscore the invaluable contribution of both truly comparative studies (i.e., offering comparisons over a wide range of taxa) and species-specific investigations (i.e., focusing on individual non-standard model organisms with unique cancer risk or resistance mechanisms). These approaches not only advance our understanding of cancer from molecular, physiological, and evolutionary perspectives, but may also serve as a source of inspiration for innovative cancer therapies in both human and veterinary oncology.

Cancer is an ancient disease

Cancer represents the second leading cause of mortality in humans, with incidences projected to increase in the coming decades3. However, contrary to common perception, cancer is not a modern disease. The ancient history of cancer is emphasized by fossilized and mummified records of neoplasia. Evidence of tumors has been found in extinct species such as dinosaurs4,5, giant sloths6 and ancestral turtles7, where bones dating from 150–240 million years ago are suspected to have been affected by cancer, sometimes with morphology characteristic of human metastatic tumors5. In a study comprising around 10,000 bone specimens, it was shown that cancer affected dinosaurs from the hadrosauridae family, with evidence of metastases in the Edmontosaurus genus4.

More closely related to modern humans, evidence of cancer has been repeatedly found in extinct species of homini living 1.8–1.6 million years ago8. The oldest written mention of cancer in our own species lies in the Edwin Smith Papyrus, a medical text from ancient Egypt likely written in 3000 Before Common Era (BCE)9. It describes eight cases of breast tumors that were removed by cauterization. More recently, a rectal cancer has been diagnosed in an Egyptian mummy of the Ptolemaic period (200 Common Era (CE) to 400 CE)10,11.

The scarcity of examples of cancer in ancient times should be understood in context. Most tumors do not affect the bones (which is the only tissue that is generally well preserved during fossilization) or affect the bone interiors, making it more difficult to detect them in ancient specimens. Challenges lie in distinguishing actual bone tumors from other bone-related diseases or injuries in fossils, with soft tissue malignancies being even more difficult to determine based on ancient skeletal remains12. Furthermore, bone tumors increase the fragility of skeletal elements, leading to a decreased probability of preservation6. Despite these challenges, the available data strongly indicate that cancer has existed for millions of years in a wide range of taxa.

Cancer is widespread across animals

While clinical oncology logically focuses on humans and their close mammalian relatives, the premise of comparative oncology is that much may be learned by extending the scope of cancer research across a broader phylogenetic spectrum. Cancer is known to occur in a very wide range of non-human animals. In non-mammalian vertebrates, unambiguous cancers are found in birds, amphibians, reptiles, and fish13. Cancer-like phenomena are also seen in invertebrates, as described below1,14.

Cancers in nondomestic animals are increasingly documented through surveys based on data from zoos15 and recently from wild populations16. Crucially, zoo-based studies have shown significant variance in cancer risk in different species15,17. For instance, certain carnivorous marsupials have an exceptionally high risk of cancer-associated mortality (as much as 57% in the Kowari), while even-toed ungulates (such as deer or giraffes) generally have very low risks15. Carnivores overall are more prone to cancer-associated mortality than animals with other lifestyles, which raises interesting perspectives on the impact of diet on cancer. Amongst many other insights, these surveys highlight animals that show unusually high or low cancer rates and can prompt targeted studies to uncover the underlying mechanisms of cancer susceptibility or resistance (see related discussion below). Moreover, comparative studies underscore how animals across the phylogenetic tree exhibit very different patterns of neoplasia (Box 1), not just in cancer risk, but also the proportion of benign and malignant tumors18, as well as the risk of mortality associated with these15. For instance, birds, reptiles and amphibians appear better protected against all tumor types, including malignant ones, than mammals18,19.

BOX 1. -. Transmissible cancers.

While most cancers arise within and die with their host, a handful of transmissible cancers have evolved the ability to spread between individuals and continue proliferation and tumor-formation in new hosts. These cancers challenge the conventional definitions of cancer and provide unique insights into immune evasion strategies and clonal evolution of cancer cells. Though absent in humans and generally rare among vertebrates, three lineages of transmissible cancers are currently known in mammals: two in Tasmanian devils (Sarcophilus harrisii) known as devil facial tumor disease (DFTD1 and DFTD2), and one in domestic dogs (Canis lupus familiaris) known as canine transmissible venereal tumor (CTVT). DFTD cells reversibly suppress MHCI expression via epigenetic modifications of histones, effectively becoming ‘invisible’ to T-cells82. Similarly, CTVT cells transiently lose MHCII expression during transmission to avoid immune rejection83. These adaptations parallel findings in human cancers, where MHC loss is a hallmark of immune escape in metastatic and therapy-resistant tumors84. Studying transmissible cancers provides a unique perspective to investigate how malignant cells overcome immune barriers, a process critical to understanding metastasis and immunotherapy resistance in human cancers.

What is less clear is whether we consider cancer to exist beyond vertebrates. To address this, we must start with definitions of cancer that encompass the diversity of metazoan body plans, and which can be satisfied by evidence from basic pathology. One simple definition of cancer is an inappropriately proliferating group of cells that grows invasively out of its site of origin. By this criterion, cancer can indeed be found in invertebrates. The most species-rich group of animals on Earth are the insects, which include the fruit fly (Drosophila melanogaster) where both naturally-occurring and experimentally-induced tumors match the aforementioned definition2022. Tumors have been documented in other arthropods, as well as mollusks25, corals13, and Hydra2324, but some of these do not meet all the criteria for the cancer definition provided above (e.g. calicoblastic neoplasms of corals or tumors in general in Hydra lack invasive behavior). Evidence for tumors is lacking in phyla such as echinoderms (e.g. starfishes), nematodes, and sponges, although more systematic studies may reveal the presence of such tumors. Thus, more work is needed to determine the true scope of cancer across the animal kingdom.

Fruit flies, the best-studied host of cancer among invertebrates, highlight issues that arise when considering species less closely related to humans21. Fly tumors share many characteristics with human tumors, including uncontrolled division of immortalized cells, defects in differentiation, destruction of the basement membrane, and migration into neighboring tissues. Fly tumors also induce remarkably analogous tumor–host interactions, including the co-option of an oxygen supply, recognition by immune cells, and the ability to induce systemic (paraneoplastic) cachexia and coagulopathy (impaired blood clotting)20. However, unlike human tumors, fly tumors can result from transformation through only one or two genetic insults and are genetically relatively stable; moreover, since insects do not have a vascular circulatory system, whether they metastasize is ambiguous26,27. Thus, it is important to keep in mind the particular anatomy and lifestyle of the organism under scrutiny when looking for cancer features.

Nevertheless, the basic cellular processes that are corrupted by transformation in human tumors are fundamental to all animal cells. Moreover, the tumor-suppressor genes (e.g. TP53) and proto-oncogenes (e.g. Ras genes) that are frequently mutated in human cancers are highly conserved throughout the metazoan lineage, where they play very similar roles. Combined with the widespread tumors documented throughout animal phylogeny, these data support the idea that a comparative approach can shed light on both the ancient origins of tumor formation and the host response to a tumor.

Evolution of cancer resistance mechanisms

All things being equal, we might expect that the likelihood of accumulating mutations would increase with the number of cells and cell divisions within an organism. Therefore, cancer risk should increase with both body size and lifespan. Nonetheless, the existence of animal species such as whales and elephants that show very low cancer incidence despite lifespans of several centuries or body sizes of up to 100 tons represents a puzzle and highlights that some species have evolved remarkable cancer resistance mechanisms. Following the foundational work by Richard Peto28, this phenomenon has been coined ‘Peto’s paradox’29. Some smaller animals including naked mole rats or multiple species of bats have also evolved remarkably low cancer rates30,31. While data from the wild are extremely scarce, the exceptional cancer resistance of certain species, both large and small, is widely acknowledged. Molecular or cellular mechanisms contributing to resistance in these animals represent a rich resource for knowledge and inspiration for novel cancer prevention or treatment strategies.

The number of natural cancer resistance mechanisms likely to be found is large, as indicated by the diversity of mechanisms identified to date31,32 (Fig 1). Some mechanisms are general to a wide range of organisms, including through the elimination of expanded clones by normal tissues via cell competition, apoptosis or anoïkis (apoptosis owing to detachment from the extracellular matrix (ECM)), and stabilizing selection within young healthy tissues to limit selection for oncogenic mutations or epigenetic changes, as well as others33,34. Other mechanisms are more specific to a single species or a handful of closely related taxa and the primary mechanism can vary from more efficient prevention of cancer (e.g., by early contact inhibition (where cell growth and/or migration is slowed or halted when cells come into contact with other cells) in naked mole rats31, extrusion of tumors from healthy tissue35, repression of somatic telomerase activity36 and replicative senescence in large bodied taxa37,38), to improved detection and elimination of damaged cells (e.g., p53-mediated apoptosis in elephants39, attenuated DNA methyltransferase 1 (DNMT1) activity and subsequent derepression of transposable elements in response to hyperplasia in the blind mole rat40, and efficient DNA repair in damaged cells e.g., bowhead whales32). All these mechanisms can be framed within what should be an obvious first principle - that animals have evolved mechanisms that limit the fitness impacts of rogue somatic evolution. Thus, natural selection at the organismal level has driven natural selection at the somatic level.

Figure. 1. Diverse cancer resistance mechanisms of organisms across the tree of life.

Figure. 1.

Animals exhibit diverse proposed cancer resistance mechanisms, including DNA protection (e.g. e.g. efficient genotoxic drug efflux mediated by the ATP-binding cassette transporters in bats protects the DNA51), efficient DNA repair (e.g., high levels of cold-inducible RNA-binding protein (CIRBP) and replication protein A2 (RPA2) are present in bowhead whale fibroblasts and increase the efficiency and fidelity of DNA repair32), effective elimination of damaged cells (e.g., high rates of p53-mediated apoptosis in response to DNA damage in elephants39), preventing clonal expansion of pre-malignant cells (e.g., naked mole rat fibroblasts secrete extremely high molecular weight hyaluronan acting as signal to CD44 receptors and triggering early contact inhibition52), elimination of over-proliferating pre-malignant cells (e.g. blind mole rat cells express very low levels of DNA methyltransferase 1 that fails to maintain DNA methylation on retrotransposable elements during rapid cell proliferation; derepression of RTEs triggers the formation of cytoplasmic RNA-DNA hybrids, which activate the cGAS-STING pathway and induce concerted cell death40), and removal of cancer cells via cell competition (e.g., in fruit flies, genetically fitter cells eliminate neighboring abnormal cells, such as those with mutations or altered polarity, through apoptosis triggered by signaling imbalances, innate immune responses, or mechanical stress53).

Even intensively studied and more traditional cancer resistance mechanisms can benefit from the comparative approach. For instance, the immune system and its associated ‘cancer immunosurveillance’ activity41 are a current frontier of therapy42,43. Foundational work in the 1990s in fruit flies led to insights into the origins of immune responses in animals44,45, and immune elimination of tumors was recently described in D. melanogaster, via both phagocytosis by macrophage-like cells46 and a humoral-like response based on antimicrobial peptides47. In parallel, it has become increasingly clear that immune-based anticancer mechanisms in mammals involve innate as well as adaptive immunity, providing an important complement to the exclusive focus on adaptive immunity of the original immunosurveillance hypothesis48. As research turns towards harnessing innate immune responses to cancer in humans49, studying immunological elimination of non-mammalian cancer opens up the possibility of testing hypotheses of conserved mechanisms and exploring informative connections, such as the parallels between immunological responses to cancer and to persistent wounds20,50.

A combination of complementary methods

From its deep historical roots, the field of comparative oncology has expanded substantially in the last two decades, in at least two ways. First, it has become truly comparative, in the sense that studies today incorporate data on many taxa (Table 1). Second, it has capitalized on cutting-edge approaches and technologies, especially at the genomic level. Consequently, we now exist in an era when comparative oncology can truly flourish.

Table 1. Species-specific cancer rates in non-domestic vertebrates.

A list of publicly available primary databases reporting species-specific cancer rates in non-domestic vertebrates (ordered chronologically). Note that all these cancer risk datasets are based on populations under human care (e.g. zoos) and provide disease risk at the time of death (obtained through necropsy). While these databases were compiled independently, some degree of overlap among the recorded individuals is expected, although the extent remains unknown. Minimum number of individuals per species reflects the minimum number of necropsy reports required to estimate cancer rate.

Dataset Parameter Taxonomic coverage Number of species Number of inspected individuals Minimum number of individuals per species
Boddy et al. 202017 Neoplasia prevalence; malignancy prevalence Mammals 41 869 4
Vincze et al. 202215 Cancer mortality risk Mammals 191 11840 20
Vincze et al. 202215 Age-standardized incidence of cancer mortality Mammals 172 11192 20
Compton et al. 202418 Neoplasia prevalence; malignancy prevalence Amphibians 41 3061 20
Compton et al. 202418 Neoplasia prevalence; malignancy prevalence Reptiles 71 2693 20
Compton et al. 202418 Neoplasia prevalence; malignancy prevalence Birds 113 5939 20
Compton et al. 202418 Neoplasia prevalence; malignancy prevalence Mammals 102 5843 20

The last decade has seen an exponential growth of publicly available databases that allow for cross-species explorations of cancer risk and mechanisms of cancer evasion. Data on cancer prevalence in zoo animals allows for the exploration of life-history, ecological, and phylogenetic risk factors of cancer using computational analysis and modeling. High-quality reference genomes of several hundred species are now available, which serve as a basis for powerful comparative genomic studies39, for instance to study the evolution of tumor suppressor mechanisms, or cancer predisposition in taxa at the level of genes and genetic backgrounds. Comparative transcriptomics54 (e.g., to identify key regulatory pathways or biomarkers of cancer and potentially pinpoint therapeutic targets), proteomics (e.g. to identify shared or unique protein signatures of cancer development, progression, or to predict treatment response), and metabolomics (e.g., to identify metabolic alterations or metabolic vulnerabilities in cancer) are also more accessible for multiple species. Moreover, advances in high-precision genome sequencing of individuals have improved estimates of mutation rates across different species and tissues55, helping to understand mutational events driving cancer across the tree of life. The advent of ultra-accurate duplex sequencing methods promises to enable the quantification of somatic mutational processes from any cell type in any species55,56, removing technical barriers that have hitherto prevented their study. Similarly, epigenetic biomarkers of aging based on DNA methylation data can be studied across species57, potentially helping to understand how epigenetic alterations shape the aging phenotype and the risk of cancer. Finally, artificial intelligence and machine learning is being applied to determine whether conservation of tumor cell morphology across taxa58, which can illuminate shared biology, guide drug development, and improve both diagnosis and therapeutic targeting in humans as well as in model and non-model species. All these approaches benefit from improved molecular phylogenies (using DNA sequences to understand the evolutionary relationships between taxa and to reconstruct their evolutionary history) that now provide a robust framework for comparative studies. Collectively, such advances have strongly elevated the opportunities and impact of comparative oncology, enabling researchers to feasibly study how cancer resistance unfolded over evolutionary time.

Using comparative oncology as a starting point, we can now rationally identify novel model organisms for cancer research and perform species-specific studies with the aim of understanding which molecular or cellular mechanisms shape their cancer resistant phenotypes. The study of such taxa is still in its infancy, with only a handful of non-model organisms having been inspected so far (e.g. naked mole rats, elephants, bowhead whales, bats)3032. Along with the plethora of methods listed above, advances in gene editing, including CRISPR-Cas9, can be considered to study and validate candidate cancer resistance mechanisms across species. While making genetically modified elephants or whales presents both technical and ethical challenges, these organisms can be used to discover novel mechanisms of cancer resistance, which can then be modeled in mice and ultimately translated to patients.

Translatability of cross-species studies

Understanding diverse tumor-suppressive mechanisms and variance in cancer predisposition across animals holds more than just intellectual interest. It can lead to the development of new cancer therapies and cancer prevention interventions for patients. Mechanisms and genetic adaptations identified in naturally cancer resistant animals can be mimicked in more cancer-prone species using pharmacological or genetic manipulations. Furthermore, investigating how evolution has fine-tuned tumor-suppressive mechanisms in concert with the natural lifespan and reproductive pattern of various animals could reveal how these mechanisms are shaped by natural selection. Such an understanding could provide the opportunity to design interventions mimicking the effects of natural selection. Below we present several examples where comparative biology has resulted in clinically relevant insights.

Autophagy.

Studies in model organisms have revealed that genetically enhancing autophagy can extend lifespans and reduce or delay cancer incidence59,60. This suggests that variability in autophagy could contribute to variations in lifespans and cancer patterns across organisms. Can we, then, alter the autophagy pathway in individuals to mimic the evolutionary changes brought about by natural selection? Indeed, evidence already exists to support this concept. Lifestyles that enhance autophagy, such as dietary restriction (or altered nutrient intake without restriction) and exercise, have been shown to reduce cancer incidence61. Nonetheless, the beneficial effects of autophagy-enhancing strategies may apply primarily to cancer prevention or early intervention, since authophagy can also supports cancer cell survival in established tumors85.

High molecular mass hyaluronan.

Naked mole rats are exceptionally long-lived for their size and are very resistant to cancer with only a handful of cancer cases reported after decades of observation52. High molecular mass hyaluronan plays an important role in the cancer resistance of naked mole rats by preventing hyperplasia52. Remarkably, overexpression in mice of the naked mole rat gene encoding the enzyme involved in hyaluronan synthesis reduced cancer incidence and extended mouse lifespan62. This provides proof-of-principle that anticancer mechanisms that evolved in cancer-resistant species can be ‘exported’ into other species even if this will need to be shown with more phylogenetically distant species.

Downregulation of DNMT1 to activate transposable elements.

A second mole-rat species, the blind mole rat, which is phylogenetically distant from the naked mole rat even though it too displays long lifespan and cancer resistance, has evolved low DNMT1 activity, which leads to the rapid activation of transposable elements in hyperplastic cells triggering the activation of the interferon response and elimination of affected cells40. Remarkably, DNMT1 inhibitors are already actively used in cancer treatment to induce the death of cancer cells through activation of the interferon response63.

Enhanced p53.

Another example of the translatability of comparative oncology to human medicine relates to the extensive work performed on elephants over the last decade. In 2015, two groups of researchers independently concluded that the high cancer resistance of elephants must be related to their genetic architecture39,64. These researchers showed that the elephant genome harbors 20 copies of the key tumor suppressor gene, TP53, of which most other animal taxa possess a single copy. This remarkable gene expansion retains one ‘ancestral copy’ similar to the TP53 conserved across the animal phylogeny and at least 19 additional truncated copies of TP53 reinserted into the elephant genome over evolutionary time as retrogenes65. TP53 codes for the p53 DNA-binding transcription factor and plays a prominent role in DNA repair and, when repair is not possible, in triggering apoptosis. Selection for multiple copies of this gene could contribute to the increased protection against cancer in elephants, which are large and long-lived, through a more efficient p53-mediated DNA damage response. Although some argue that the TP53 retrogenes appear to be inactive and not under evident selection66, recent efforts demonstrate that at least one of these retrogenes can trigger non-transcriptional apoptosis through the mitochondria when expressed in human cancer cells67, supporting a functional role and potential selection for tumor suppressor gene amplification as a cancer resistance mechanism. This discovery triggered research into a clinical application to prevent or treat human cancer using the elephant TP53. Initial results have confirmed that transgenic mice expressing elephant TP53 survive longer following carcinogenic exposure68.

Enhanced DNA repair.

Organisms can achieve cancer resistance not only through enhanced action of tumor suppressive mechanisms that eliminate the damaged cells, but also by improved genome maintenance. This strategy has recently been described in the bowhead whale, which is very large and perhaps the longest-lived mammal. Compared to other mammals, the bowhead whale shows significantly lower rates of mutations achieved through more efficient and accurate DNA double-strand break repair32. This is likely aided by two proteins present in high levels in bowhead whale cells (cold-inducible RNA-binding protein (CIRBP) and replication protein A2 (RPA2)), which increase the efficiency and fidelity of DNA repair even when overexpressed in human cells.

Inherent challenges of translation

The identification of natural tumor-suppressor mechanisms, such as those listed above, highlight the potential of learning from different species to impact the outcomes of patients with cancer. Moreover, given the diversity of life on Earth, it is highly plausible that numerous other natural anti-cancer mechanisms will be discovered in the near future69. Translation of such mechanisms to human medicine should be feasible, especially considering the conserved biological processes common to all animals. While promising opportunities may exist, we must acknowledge the inherent challenges. For instance, natural selection has had a considerable amount of time to balance the tradeoffs associated with alteration to pathways contributing to tumor suppression across species (or in particular species). Such costs of pathway manipulations remain poorly understood and we need to recognize the pleiotropic nature of many genes, pathways and processes. A prominent example is TP53, whose upregulation can lead to premature ageing70.

Perspectives and Future Directions

As outlined above, comparative oncology has matured into a well-established research field, with specific questions, rich methods, innovative technologies, and robust results. As a cross-disciplinary group of researchers involved in this domain, we outline below key directions that we envision for the advancement of comparative oncology in the coming years.

Interdisciplinary integration.

A crucial imperative for comparative oncology is to improve the integration between medical oncology, veterinary medicine, evolutionary biology, and ecology. Indeed, a major limitation in the application of knowledge gained from comparative oncology has been that medical doctors often lack a background in evolutionary thinking, while laboratory scientists often have limited knowledge of therapies or lack experience of working with non-model animals. Therefore, the translation of findings in comparative oncology can only be achieved by tight cooperation between these groups. In practical terms, we advocate for three changes. International cancer meetings should devote regular sessions to comparative and evolutionary approaches to cancer. Equally, more conferences of an interdisciplinary nature, bringing all of this expertise together should be organised to trigger cooperation among these teams. Major cancer journals should be open to data-driven and conceptual submissions in comparative oncology (instead of limiting such work to evolutionary biology journals, which are generally not read by clinical oncologists). Finally, educational curricula (beginning as early as undergraduate education and continuing through graduate and professional training) should be restructured to reflect the importance of evolutionary approaches to understanding cancer. We must both provide better background in evolutionary biology to medical trainees and convince students of evolutionary biology and ecology to embrace cancer as their main topic of interest. Ultimately, these changes to disseminate knowledge about comparative oncology will drive the connection to clinical practice.

Comparison of the hallmarks of cancer across taxa.

Until now, comparative oncology has focused, understandably, on assessing cancer risk and/or cancer mortality across taxa. Yet a plethora of new discoveries awaits those who will explore the phylogenetic diversity in mechanisms for each of the hallmarks of cancer (e.g., resistance to cell death, genome instability, deregulation of cell metabolism, and replicative immortality71). We know very little about the cell biology of neoplasms in non-human animals. Crucially, this line of thought does not assume that these traits co-occur with cancer in all taxa where they are found; for instance, knowing in which taxa and through which mechanisms deregulation of cell metabolism occurs will be informative for understanding the connection between cancer and deregulation of cell metabolism in humans, even if it turns out that some taxa undergo deregulation of cell metabolism without having cancer.

Comparison of cancer-associated traits across taxa.

Following observations on the cross-species diversity in cancer risk, researchers were hoping to reveal the key life-history predictors of tumor prevalence across taxa. While many attempts have been made (by examining the effect of body size, lifespan, reproductive rates and others), and while statistical significance was observed in some cases, the proportion of variance in cross-species cancer prevalence explained by these predictors remains negligible. This highlights that cancer risk is likely influenced by a complex interplay of multiple factors beyond the commonly examined life-history traits, potentially including genetic, immunological, and ecological variables that have yet to be fully understood. An important future direction in comparative oncology will be to establish cancer-associated traits across species (i.e., traits that co-occur with cancer although they have yet to be defined as hallmarks of cancer). For example, microbiome composition has been linked to both cancer risk and responses to cancer therapies in humans and model organisms72. But can one find interesting correlations between microbiome composition and/or microbiome disruption and cancer risk and/or mortality across the tree of life? This question should be explored systematically in future research. Interestingly, polymorphic microbiomes have been added as an ‘enabling characteristic’ in Hanahan’s most recent update on the hallmarks of cancer73. Other major examples of cancer-associated traits that could be explored across taxa include biological aging, regenerative capabilities, and the regulation of inflammation.

Improving the search for anti-cancer mechanisms.

More rigorous conceptualizations of anti-cancer mechanisms will be needed to explore their impact on cancer risk and mortality across taxa. One potential classification is based on the stage in cancer progression at which anti-cancer mechanisms act: some may function to prevent the initiation of neoplasms, others to prevent the transformation of a benign neoplasm into a cancer, or prevent a cancer from metastasizing, or even prevent a cancer from causing death. The analysis of each transition depends on distinct data (e.g., prevalence of neoplasia versus cancer mortality) and the mechanisms for preventing each of these transitions are likely to be different. Furthermore, even for already well-recognized anti-cancer mechanisms, much more specific work is needed, particularly comparative studies involving multiple taxa. For example, immunological surveillance is often described as one of the major anti-cancer mechanisms, but the most detailed insights into immune components relevant to cancer (e.g., T-cell subsets, cytokines, checkpoint molecules) derive from human or murine studies. While in humans the role of specific immune components is relatively well understood, far less is known about how these components function across species, and under which evolutionary or ecological conditions they are effective. Future work will certainly generate more precise insights through the development of ‘comparative oncoimmunology’. For instance, do phagocytic cells impact cancer initiation and progression in all metazoans (as they do in many mammals and in some insects)? Other promising examples for study include natural killer (NK) cells (which are widespread across metazoans74) and immune components that, like cyclic GMP-AMP synthase (cGAS) for instance, display strong homologies across a wideWhile detailed studies in humans—such as Jerome Galon’s work on immune contexture and the immunoscore—have elucidated the role of specific immune components, far less is known about how these components function across species, and under which evolutionary or ecological conditions they are effective or ineffective. variety of taxa75 and are known to play a role in cancer resistance in mammals including humans76).

Understanding taxonomic variation in metastatic disease.

How much does the incidence of metastasis vary across species, and what explains that variation? Natural selection may have prevented cancer mortality by preventing the evolution of metastasis. So far, we have very little data on the risk of metastatic disease. We also lack hypotheses about which selective pressures might lead to susceptibility to metastatic disease. Progress will likely require access to full necropsy reports from zoos and wildlife sevices, which is currently difficult but not impossible. If there are species that are prone to malignancy but do not develop metastasis, they may have evolved mechanisms to prevent metastasis. We might also test if the organotropism of metastasis seen in humans is similar or different in non-human animals.

Systematic exploration of the impact of environmental exposures on carcinogenesis.

Cancer prevention, whilst perhaps the ultimate goal, has received considerably less attention than its potential treatment. Environmental stressors and contaminants, including industrial, pharmaceutical or agricultural chemicals, air pollution, radiation or light pollution, markedly contribute to carcinogenesis in humans and animals alike7779. Despite growing global concern, substantial amounts of pollutants continue to be released into the environment yearly and many currently banned pollutants will persist in our environment for decades or even centuries80. A key obstacle is that too little is known about the impact of most environmental factors, for many reasons including long latency from exposure to cancer development, complex interactions between genetic predisposition and environmental contaminants, multiple and often simultaneous exposures to various contaminants, ethical constraints of performing exposure experiments on human subjects and the difficulty of identifying and controlling all potential confounding effects. By developing systematic comparisons of correlations between cancer incidence and exposure to environmental factors in wild taxa and animals living in anthropogenic environments, such as domestic animals, those living in urbanized areas, zoos or degraded habitats, one might highlight key carcinogenic factors that will elicit the formulation of precise and specific hypotheses that can be tested in the lab. Animals that are particularly susceptible to cancer, as well as animals with shorter lifespans, might act as sentinels for the detection of carcinogens that are not yet apparent in humans. Animal populations that experience unusually high cancer rates could also provide insight into environmental conditions (likely resulting from more recent human activities) that have contributed to these greater cancer rates.

Developing studies on cancer in wildlife.

Cancer surveillance programs for wildlife are scarce and must be encouraged. By comparing cancer in animals in the wild versus those in captivity, we might be able to better distinguish the role of environmental factors from intrinsic cancer susceptibility or resistance in shaping cancer prevalence, which may help to inform human cancer epidemiology. However, collecting data on cancer risk in diverse wild animals, especially those living in their natural habitats, is challenging, including due to the diverse nature of cancer and that small but lethal tumors can often go undetected during necropsies. Moreover, recovering carcasses of wild animals alone is very challenging, especially before decomposition or consumption by scavengers, which would affect their suitability for necropsy79. Additionally, disentangling cancer-related mortalities from other sources of more obvious deaths, such as predation or other illnesses triggered by cancer-related health issues, poses further issues. Collaborative endeavors involving oncologists, veterinarians, and researchers from diverse fields are essential to overcome these challenges.

Studying critical transitions in the history of life with respect to cancer incidence.

Clearly the transition from unicellular life to multicellular life was a necessary but perhaps not sufficient condition for the development of cancer81. It is likely that the presence of cell turnover in adult tissues is a key cancer vulnerability. For many organisms, such as Caenorhabditis elegans for instance, cell proliferation ends with development and the adult body is almost entirely composed of quiescent fully differentiated cells, except for the germline, and such organisms do not develop cancer. What is the relationship across taxa (and across organs) between the presence of adult somatic stem cells and the probability of developing cancer? Is indeterminate growth a risk factor for cancer? What process(es) in mammals make them more susceptible to cancer than other vertebrates?

Comparative genomics and functional validation of putative resistance mechanisms

One of the primary goals of comparative oncology is to discover the mechanisms of cancer resistance that have evolved in non-human species and then translate those discoveries to improved cancer prevention and management in humans. Genomic studies that compare cancer resistant to cancer susceptible species, particularly when closely related, can identify genomic regions that appear to have changed by natural selection independently in multiple cancer resistant species. Those genomic changes are putative molecular mechanisms of cancer resistance that we can then engineer into cell lines67 and model organisms to test for cancer resistance phenotypes.

Fostering methodological advances in non-model organisms to advance human cancer research.

Applying and refining state-of-the-art molecular techniques (e.g., single-cell DNA and RNA sequencing, metabolomics, proteomics, epigenetic profiling and CRISPR-Cas9) in cancer-resistant, non-model taxa can provide deeper insights into how specific molecular pathways are regulated in cancer resistant species. While such approaches have already provided some fascinating results in a handful of cancer resistant taxa, applying them at a wide taxonomic scale could help identify conserved pathways of tumor prevention, suppression or elimination across species. Such knowledge might help to uncover universal targets for cancer therapy or prevention.

Conclusion

The advancements and insights gained to date from comparative oncology call for a better integration of this approach into oncological research. With increased attention, continuous collaboration between disciplines, and a stronger commitment from conventional cancer biologists and clinical researchers to explore cancer from a new perspective, comparative oncology can truly reshape the landscape of cancer research and treatment.

Acknowledgements:

We are grateful for the financial supported by the Gordon and Betty Moore Foundation (GBMF9021 to Thomas Pradeu), Agence Nationale de la Recherche (COVER ANR-23-CE02–0019 to M. Giraudeau), Région Nouvelle-Aquitaine (Chaire d’excellence “Cancer et Biodiversité” to M. Giraudeau); National Scientific Research Fund (OTKA K143421 to OV), NIH (R01AG066544 to JD), US National Institute on Aging, Impetus Grant, and the Milky Way Research Foundation (to VG) and the US National Institute on Aging and Hevolution Foundation (AS).

Footnotes

Competing interests

J.D.S. reports being a cofounder and shareholder of Peel Therapeutics outside the submitted work. All other authors declare no competing interests.

References

  • 1.Scharrer B & Lochhead MS Tumors in the Invertebrates: A Review. Cancer Research 10, 403–419 (1950). [PubMed] [Google Scholar]
  • 2.Smith EF FURTHER EVIDENCE THAT CROWN GALL OF PLANTS IS CANCER. Science 43, 871–889 (1916). [DOI] [PubMed] [Google Scholar]
  • 3.Sung H et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians 71, 209–249 (2021). [DOI] [PubMed] [Google Scholar]
  • 4.Rothschild BM, Tanke DH, Helbling M & Martin LD Epidemiologic study of tumors in dinosaurs. Naturwissenschaften 90, 495–500 (2003). [DOI] [PubMed] [Google Scholar]
  • 5.Rothschild BM, Witzke BJ & Hershkovitz I Metastatic cancer in the Jurassic. Lancet 354, 398 (1999). [DOI] [PubMed] [Google Scholar]
  • 6.de S. Barbosa FH, de O. Porpino K, Rothschild BM, da Silva RC & Capone D First cancer in an extinct Quaternary non-human mammal. Historical Biology 33, 2878–2882 (2021). [Google Scholar]
  • 7.Haridy Y et al. Triassic Cancer—Osteosarcoma in a 240-Million-Year-Old Stem-Turtle. JAMA Oncology 5, 425 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Odes EJ et al. Earliest hominin cancer: 1.7-million-year-old osteosarcoma from Swartkrans Cave, South Africa. South African Journal of Science 112, 5–5 (2016). [Google Scholar]
  • 9.Breasted JH. The Edwin Smith Surgical Papyrus. (University of Chicago Press, Chicago, 1930). [Google Scholar]
  • 10.The Scientific Study of Mummies | Biological anthropology and primatology. Cambridge University Press; https://www.cambridge.org/fr/academic/subjects/life-sciences/biological-anthropology-and-primatology/scientific-study-mummies, https://www.cambridge.org/fr/academic/subjects/life-sciences/biological-anthropology-and-primatology. [Google Scholar]
  • 11.David AR & Zimmerman MR Cancer: an old disease, a new disease or something in between? Nat Rev Cancer 10, 728–733 (2010). [DOI] [PubMed] [Google Scholar]
  • 12.Capasso L Antiquity of cancer. Article in International Journal of Cancer (2005) doi: 10.1002/ijc.20610. [DOI] [PubMed] [Google Scholar]
  • 13.Aktipis CA et al. Cancer across the tree of life: cooperation and cheating in multicellularity. Philosophical Transactions of the Royal Society B: Biological Sciences 370, 20140219 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Robert J Comparative study of tumorigenesis and tumor immunity in invertebrates and nonmammalian vertebrates. Dev Comp Immunol 34, 915–925 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Vincze O et al. Cancer risk across mammals. Nature 601, 264–267 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Madsen T et al. Cancer Prevalence and Etiology in Wild and Captive Animals. in Ecology and Evolution of Cancer 11–46 (Elsevier, 2017). doi: 10.1016/B978-0-12-804310-3.00002-8. [DOI] [Google Scholar]
  • 17.Boddy AM et al. Lifetime cancer prevalence and life history traits in mammals. Evolution, Medicine, and Public Health 2020, 187–195 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Compton ZT et al. Cancer Prevalence across Vertebrates. Cancer Discovery OF1–OF18 (2024) doi: 10.1158/2159-8290.CD-24-0573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Effron M, Griner L & Benirschke K Nature and Rate of Neoplasia Found in Captive Wild Mammals, Birds, and Reptiles at Necropsy. JNCI: Journal of the National Cancer Institute 59, 185–198 (1977). [DOI] [PubMed] [Google Scholar]
  • 20.Bilder D, Ong K, Hsi T-C, Adiga K & Kim J Tumour-host interactions through the lens of Drosophila. Nat Rev Cancer 21, 687–700 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Gonzalez C Drosophila melanogaster: a model and a tool to investigate malignancy and identify new therapeutics. Nat Rev Cancer 13, 172–183 (2013). [DOI] [PubMed] [Google Scholar]
  • 22.Gateff E Malignant neoplasms of genetic origin in Drosophila melanogaster. Science 200, 1448–1459 (1978). [DOI] [PubMed] [Google Scholar]
  • 23.Boutry J et al. Spontaneously occurring tumors in different wild-derived strains of hydra. Sci Rep 13, 7449 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Domazet-Lošo T et al. Naturally occurring tumours in the basal metazoan Hydra. Nat Commun 5, 4222 (2014). [DOI] [PubMed] [Google Scholar]
  • 25.Metzger MJ, Reinisch C, Sherry J & Goff SP Horizontal transmission of clonal cancer cells causes leukemia in soft-shell clams. Cell 161, 255–263 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Bilder D Epithelial polarity and proliferation control: links from the Drosophila neoplastic tumor suppressors. Genes Dev 18, 1909–1925 (2004). [DOI] [PubMed] [Google Scholar]
  • 27.Sharpe JL, Morgan J, Nisbet N, Campbell K & Casali A Modelling Cancer Metastasis in Drosophila melanogaster. Cells 12, 677 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Peto Richard & Peto R Epidemiology, Multistage Models, and Short-term Mutagenicity Tests. in Origins of Human Cancer (eds. Hiatt H, Watson J & Winsten J) vol. 45 1403–1428 (Cold Spring Harbor Laboratory, New York, 1977). [Google Scholar]
  • 29.Nunney L Lineage selection and the evolution of multistage carcinogenesis. Proceedings of the Royal Society B: Biological Sciences 266, 493–498 (1999). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Hua R et al. Experimental evidence for cancer resistance in a bat species. Nat Commun 15, 1401 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Seluanov A, Gladyshev VN, Vijg J & Gorbunova V Mechanisms of cancer resistance in long-lived mammals. Nature Reviews Cancer 18, 433–441 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Firsanov D et al. DNA repair and anti-cancer mechanisms in the longest-living mammal: the bowhead whale. 2023.05.07.539748 Preprint at 10.1101/2023.05.07.539748 (2023). [DOI]
  • 33.Marongiu F & DeGregori J The sculpting of somatic mutational landscapes by evolutionary forces and their impacts on aging-related disease. Mol Oncol 16, 3238–3258 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Marongiu F, Cheri S & Laconi E Cell competition, cooperation, and cancer. Neoplasia 23, 1029–1036 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Fortunato A, Fleming A, Aktipis A & Maley CC Upregulation of DNA repair genes and cell extrusion underpin the remarkable radiation resistance of Trichoplax adhaerens. PLoS Biol 19, e3001471 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Seluanov A et al. Telomerase activity coevolves with body mass not lifespan. Aging Cell 6, 45–52 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Gomes NMV et al. Comparative biology of mammalian telomeres: hypotheses on ancestral states and the roles of telomeres in longevity determination. Aging Cell 10, 761–768 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Seluanov A et al. Distinct tumor suppressor mechanisms evolve in rodent species that differ in size and lifespan. Aging Cell 7, 813–823 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Abegglen LM et al. Potential Mechanisms for Cancer Resistance in Elephants and Comparative Cellular Response to DNA Damage in Humans. JAMA 314, 1850 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Zhao Y et al. Transposon-triggered innate immune response confers cancer resistance to the blind mole rat. Nat Immunol 22, 1219–1230 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Dunn GP, Bruce AT, Ikeda H, Old LJ & Schreiber RD Cancer immunoediting: from immunosurveillance to tumor escape. Nat Immunol 3, 991–998 (2002). [DOI] [PubMed] [Google Scholar]
  • 42.Hiam-Galvez KJ, Allen BM & Spitzer MH Systemic immunity in cancer. Nat Rev Cancer 21, 345–359 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Bruni D, Angell HK & Galon J The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy. Nat Rev Cancer 20, 662–680 (2020). [DOI] [PubMed] [Google Scholar]
  • 44.Lemaitre B, Nicolas E, Michaut L, Reichhart JM & Hoffmann JA The dorsoventral regulatory gene cassette spätzle/Toll/cactus controls the potent antifungal response in Drosophila adults. Cell 86, 973–983 (1996). [DOI] [PubMed] [Google Scholar]
  • 45.Lemaitre J-F et al. Early-late life trade-offs and the evolution of ageing in the wild. Proceedings of the Royal Society B: Biological Sciences 282, 20150209–20150209 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Pastor-Pareja JC, Wu M & Xu T An innate immune response of blood cells to tumors and tissue damage in Drosophila. Dis Model Mech 1, 144–154; discussion 153 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Parvy J-P et al. The antimicrobial peptide defensin cooperates with tumour necrosis factor to drive tumour cell death in Drosophila. Elife 8, e45061 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Burnet FM The Concept of Immunological Surveillance. Progress in experimental tumor research. Fortschritte der experimentellen Tumorforschung. Progres de la recherche experimentale des tumeurs 13, 1–27 (1970). [DOI] [PubMed] [Google Scholar]
  • 49.Demaria O et al. Harnessing innate immunity in cancer therapy. Nature 574, 45–56 (2019). [DOI] [PubMed] [Google Scholar]
  • 50.Dvorak HF Tumors: wounds that do not heal. Similarities between tumor stroma generation and wound healing. N Engl J Med 315, 1650–1659 (1986). [DOI] [PubMed] [Google Scholar]
  • 51.Koh J et al. ABCB1 protects bat cells from DNA damage induced by genotoxic compounds. Nat Commun 10, 2820 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Tian X et al. High-molecular-mass hyaluronan mediates the cancer resistance of the naked mole rat. Nature 499, 346–349 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Baker NE Emerging mechanisms of cell competition. Nat Rev Genet 21, 683–697 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Liu W et al. Large-scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals. The EMBO Journal n/a, e112740 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Cagan A et al. Somatic mutation rates scale with lifespan across mammals. Nature 2022 604:7906 604, 517–524 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Liu MH et al. Single-strand mismatch and damage patterns revealed by single-molecule DNA sequencing. 2023.02.19.526140 Preprint at 10.1101/2023.02.19.526140 (2023). [DOI] [Google Scholar]
  • 57.Horvath S & Raj K DNA methylation-based biomarkers and the epigenetic clock theory of ageing. Nat Rev Genet 19, 371–384 (2018). [DOI] [PubMed] [Google Scholar]
  • 58.AbdulJabbar K et al. Bridging clinic and wildlife care with AI-powered pan-species computational pathology. Nat Commun 14, 2408 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Nakamura S & Yoshimori T Autophagy and Longevity. Mol Cells 41, 65–72 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Wilhelm T & Richly H Autophagy during ageing - from Dr Jekyll to Mr Hyde. FEBS J 285, 2367–2376 (2018). [DOI] [PubMed] [Google Scholar]
  • 61.Singletary K & Milner J Diet, Autophagy, and Cancer: A Review. Cancer Epidemiology, Biomarkers & Prevention 17, 1596–1610 (2008). [DOI] [PubMed] [Google Scholar]
  • 62.Zhang Z et al. Increased hyaluronan by naked mole-rat Has2 improves healthspan in mice. Nature 621, 196–205 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Yang S-C et al. Inhibition of DNMT1 potentiates antitumor immunity in oral squamous cell carcinoma. Int Immunopharmacol 111, 109113 (2022). [DOI] [PubMed] [Google Scholar]
  • 64.Sulak M et al. TP53 copy number expansion is associated with the evolution of increased body size and an enhanced DNA damage response in elephants. eLife 5, (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Tollis M et al. Elephant Genomes Reveal Accelerated Evolution in Mechanisms Underlying Disease Defenses. Molecular Biology and Evolution 38, 3606–3620 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Nunney L Cancer suppression and the evolution of multiple retrogene copies of TP53 in elephants: A re-evaluation. Evolutionary Applications 15, 891–901 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Preston AJ et al. Elephant TP53-RETROGENE 9 induces transcription-independent apoptosis at the mitochondria. Cell Death Discov. 9, 1–11 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Abegglen LM et al. Abstract 45: Elephant p53 protects mice from carcinogen induced death. Cancer Research 83, 45 (2023). [Google Scholar]
  • 69.Noble K, Rohaj A, Abegglen LM & Schiffman JD Cancer therapeutics inspired by defense mechanisms in the animal kingdom. Evolutionary Applications 13, 1681–1700 (2020). [Google Scholar]
  • 70.Wu D & Prives C Relevance of the p53–MDM2 axis to aging. Cell Death Differ 25, 169–179 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Hanahan D & Weinberg RA Hallmarks of cancer: The next generation. Cell 144, 646–674 (2011). [DOI] [PubMed] [Google Scholar]
  • 72.Sepich-Poore GD et al. The microbiome and human cancer. Science 371, eabc4552 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Hanahan D Hallmarks of Cancer: New Dimensions. Cancer Discovery 12, 31–46 (2022). [DOI] [PubMed] [Google Scholar]
  • 74.Khalturin K, Becker M, Rinkevich B & Bosch TCG Urochordates and the origin of natural killer cells: identification of a CD94/NKR-P1-related receptor in blood cells of Botryllus. Proc Natl Acad Sci U S A 100, 622–627 (2003). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Jenson JM & Chen ZJ cGAS goes viral: A conserved immune defense system from bacteria to humans. Mol Cell 84, 120–130 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Kwon J & Bakhoum SF The Cytosolic DNA-Sensing cGAS-STING Pathway in Cancer. Cancer Discov 10, 26–39 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Baines C et al. Linking pollution and cancer in aquatic environments: A review. Environment International 149, (2021). [DOI] [PubMed] [Google Scholar]
  • 78.McAloose D & Newton AL Wildlife cancer: a conservation perspective. Nature Reviews Cancer 2009 9:7 9, 517–526 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Pesavento PA, Agnew D, Keel MK & Woolard KD Cancer in wildlife: patterns of emergence. Nature Reviews Cancer 18, 646–661 (2018). [DOI] [PubMed] [Google Scholar]
  • 80.Jepson PD & Law RJ Persistent pollutants, persistent threats. Science 352, 1388–1389 (2016). [DOI] [PubMed] [Google Scholar]
  • 81.Pradeu T et al. Reuniting philosophy and science to advance cancer research. Biol Rev Camb Philos Soc 98, 1668–1686 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Siddle HV et al. Reversible epigenetic down-regulation of MHC molecules by devil facial tumour disease illustrates immune escape by a contagious cancer. Proceedings of the National Academy of Sciences 110, 5103–5108 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Murgia C, Pritchard JK, Kim SY, Fassati A & Weiss RA Clonal Origin and Evolution of a Transmissible Cancer. Cell 126, 477–487 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Garrido F & Aptsiauri N Cancer immune escape: MHC expression in primary tumours versus metastases. Immunology 158, 255–266 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.White E Deconvoluting the context-dependent role for autophagy in cancer. Nature Reviews Cancer 12, 401–410 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES