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A Bird’s Eye View: A Close Look into Avian CAM Models for Translational Blood Cancer Research

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10 December 2025

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11 December 2025

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Abstract
The chorioallantoic membrane (CAM) is a well-vascularised extra-embryonic mem-brane that supports avian embryonic development, and can be used as an implantation site for xenograft models of various cancers. CAM tumour research models are powerful and versatile, offering a rapid, cost-effective and ethical complement to mouse xenograft studies. Their capacity for real-time observation of tumour growth, angiogenesis and metastasis within an immunocompetent living organism are particularly compelling. While CAM models have been extensively utilised for investigating solid cancers such as breast, lung and pancreatic, their potential for haematological malignancy research remains comparatively underexplored. This review examines the relevance, advantages and translational potential of avian CAM models in studying blood cancers. Their ap-plications across three primary categories are discussed – leukaemias, lymphomas and myelomas – highlighting experimental approaches that replicate aspects of human disease progression and therapeutic responsiveness. Moreover, the review evaluates species-specific considerations relevant to model fidelity, including evolutionary dis-tance and functional parallels between avian and human haematopoiesis. These com-parisons underscore both the opportunities and limitations for utilising CAM models in haematologic malignancy research. For their potential to investigate mechanisms of cancer development and treatment in simple but immunocompetent in vivo settings, we propose that CAM tumour models offer high value as a bridge between in vitro and mammalian in vivo studies for haematology translational research.
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1. Introduction

Blood cancers, broadly categorised into Leukaemias, Lymphomas and Myelomas, represent a diverse group of malignancies originating from haematopoietic and lymphatic cells [1,2]. Over 120 different types of blood cancers have been described [3], with leukaemia, non-Hodgkin’s lymphoma, Hodgkin’s lymphoma and multiple myeloma collectively accounting for >1.2 million incidences and 700,000 deaths worldwide in 2020 alone [4]. This represented approximately 10% of all cancers recorded that year [4], with similar incidence rates recorded for the US [5,6] and the EU in 2022 [7]. The incidence and mortality rates for blood cancers are higher in men than in women [4].
Most blood cancers begin where all blood cells are made; the bone marrow. In a healthy person, white blood cells are continuously produced to replace those that are no longer viable or functional. However, leukaemia patients experience the overproduction of white blood cells from either the myeloid or lymphoid lineages, lymphoma involves abnormalities in lymphocytes, while myeloma arises from abnormal plasma cell proliferation [8,9] (Table 1). Neoplastic proliferation highlights two key hallmarks of cancer, namely sustaining proliferative signalling and resisting cell death; as neoplastic cells bypass regulatory checkpoints and evade apoptosis [10,11]. The systemic nature of blood cancers poses a significant challenge in understanding their pathophysiology and developing effective treatment strategies [12]. Unlike solid tumours, which often induce angiogenesis to sustain growth within a localised area [10,13], the dispersal of blood cancer through haematopoietic and lymphatic cells makes it difficult to follow disease progression and to isolate specific microenvironmental causative factors [14]. Treatment avenues are also complicated by widespread disease progression, affecting multiple organs such as the spleen, liver, or lymph nodes [14]. Moreover, blood cancers often evade immune destruction either by downregulating antigen presentation mechanisms, by directly manipulating T- or NK-cell activity, or by disrupting immune surveillance mechanisms through the PD-1/PD-L1 pathways [10,15]. This in turn can influence the surrounding microenvironment, inducing tumour-promoting pro-inflammatory events [16].
Furthermore, blood cancers often present significant heterogeneity in cell populations. Distinct clonal expansions underscore the diversity, complexity and dynamic nature of individual blood cancers [17], further complicating the study of cancer progression and the prediction of responsiveness to therapy, while highlighting the unlikelihood of universal therapeutic targets [18,19,20].
Although there are numerous factors that influence patient overall survival, including patient-related factors like age or comorbidities, disease-related factors like disease burden or cytogenetic risk and treatment-related factors such as response or resistance; the prognosis remains poor for patients diagnosed with certain blood cancers (Table 1).
To study the mechanisms underlying these complex hallmarks and to develop effective therapies, current laboratory models for haematological research will next be discussed.

2. Laboratory Models for Research in Haematological Cancers

2.1. Mouse Models for Haematological Research

In vivo models have been instrumental in advancing our knowledge of haematological malignancies, particularly humanised rodent models which allow detailed study of disease progression, metastasis and therapy responsiveness [30,31,32].
Some key advantages of rodent blood cancer models include their genetic tractability and physiological similarity to humans [32,33]. These features enable researchers to replicate human disease conditions, including genetic alterations and tumour microenvironments, thus serving as a foundation for preclinical drug development. However, rodent blood cancer models also have some significant limitations, including:
Cost: Rodent models are expensive to establish and maintain, particularly for cancers with long latency periods [34] or when specific pathogen-free (SPF) facilities are required to house transgenic and immunodeficient strains used in haematological malignancy research [34,35,36]. High costs impact scalability, potentially restricting comprehensive drug testing and mechanistic studies [35,37].
Model incompatibility: Some immunodeficient mouse models, such as Foxn1-/- nude and C.B17-SCID mice, are unsuitable for haematological malignancy research due to their limited immune cell interaction with tumour cells. Foxn1-/- nude mice lack a thymus and T-cells, but retain residual immune responses, restricting tumour cell engraftment. C.B17-SCID mice can develop functional T- and B- cells with age, complicating long-term blood cancer studies via cytotoxicity to transplanted cells [38,39]. Furthermore, as the immunotherapy era continues to revolutionise blood cancer treatment, studying immunotherapeutic treatments in immunodeficient mouse models, despite their suitability for patient-derived xenografting (PDX), remains challenging. Of course, mouse models are plastic and may be humanised to form a representative immune system, but the creation of such resources is complex, timely and costly [40].
Genetic incompatibility: Inbred murine models lack genetic diversity, which limits generalisability in capturing disease mechanisms or drug responsiveness at cancer patient population level [40,41].
Ethical, cost, and time considerations: In Europe, Directive 2010/63/EU ensures the protection and care of animals used in research. This directive enforces the 3R principles (Replacement, Reduction and Refinement) and mandates ethics committee reviews, licensing and inspections for facilities conducting animal experimentation.
Of note, in 2016, the Dutch government expressed intention to make the Netherlands “largely free of animal testing” by 2025 [42]. However, achieving this goal has proven challenging. In fact, over 400,000 animal tests were conducted in the Netherlands in 2022 alone [43,44], with some EU safety regulations mandating animal testing for new chemical substances, hampering the Netherlands’ ability to unilaterally eliminate such practices [45]. While the nation has looked into alternatives, their validation is in its infancy and approval processes can take decades. Accordingly, the goal of freedom from animal testing has been delayed.
Collectively, this highlights the value of complementary and alternative models that can bridge the gap between in vitro studies and in vivo validation; or even between in vitro studies and pre-clinical in vivo validation in rodents. For a more complete summary of rodent models in blood cancers, the reader is directed to several excellent reviews [46,47,48,49,50]. Instead, the current review will evaluate the potential of the chick embryo chorioallantoic membrane (CAM) model to bridge the gap between in vitro and in vivo validation studies for blood cancer research, in line with the 3Rs principles.

2.2. The CAM Model as a Gateway to Living Systems

The chorioallantoic membrane (CAM) of avian development forms following the fusion of two extraembryonic tissues, the allantois and chorion, and appears at embryonic development day (EDD) 3.5 [51,52,53,54,55]. This double-layered membrane connects directly to the allantoic arteries and vein, making it a highly-vascularised structure that functions like a homologue of the human placenta in protecting and nourishing the developing embryo [53,55].
Notably, chick embryos have been used for decades to generate preliminary insights into the toxicity of drugs or exogenous chemicals, offering a valuable platform for preclinical toxicology studies.
However, in 1911 the chick embryo CAM was first used by Rous and Murphy as a tumour xenograft site, supporting the growth of chick sarcoma tumours [56,57]. CAM tumour models have since been extensively used for the study of the core hallmarks of cancer, across various different solid and liquid cancers, extensively reviewed by recent experts [40].
With this in mind, the CAM model provides a promising complement/alternative as a cost-effective and scalable in vivo model for studying blood cancers [58,59,60,61,62,63].
Some of its advantages are as follows:
Cost: Chick embryos are cheap, easily purchased and require no specialised husbandry.
Fast, easy and accurate data acquisition: The short gestational timeline of the chicken embryo (21 days) allows for faster experimental turnover compared to rodents.
Dynamic Observation: The highly-vascularized CAM supports tumour grafting and its accessibility through a “window” cut into the eggshell permits real-time visualisation of tumour growth and angiogenesis. Furthermore, CAM-grown tumours have been noted to histologically and morphologically resemble those at primary tumour sites [64], and metastasis to end organs can be readily studied.
Transient immunodeficiency at implantation: Avian embryos are highly tolerant to non-host cancer cell implantation on the CAM early during development [40,55]. This is because avian T cells principally develop functionality in the third and final trimester of development [65]. That avian embryos possess both innate and adaptive immune systems is also unknown to many. In fact the term “B-cell” derives not from the human bone marrow location where these cells mature, but rather from the avian lymphoid organ known as the “Bursa of Fabricius” where B cells were first identified [66,67].
Genetic Background: Most embryos utilised in CAM experiments are sourced commercially and are not inbred, offering genetic variability that better recapitulates biological diversity and responsiveness to treatment (including tumour evolution). Additionally, since embryos develop outside of the maternal environment, minimising the influence of sex hormones that affect differentiation later in development, the model reduces gender bias and provides a mixed population of responses to therapies [68]. However, gender manipulation and phenotypical sex reversal is theoretically still possible in chicken embryos, further complementing model plasticity [69,70,71].
Ethical Considerations: In most jurisdictions, CAM experiments can be undertaken without the need for scientific animal protection licences as long as the chick is not allowed to hatch. This not only speeds up workflows but is compliant with the 3R principles of Reduction, Replacement and Refinement [7].
Toxicity Assessment: As a fully integrated and vascularised system, the chick enables the evaluation of compound toxicity in a living biological system prior to progression into vertebrate models. This makes it particularly valuable for early-stage dose-finding and safety screening. The ability to observe local and systemic responses in real time—including tissue damage, haemorrhage, inflammation, and lethality—allows for the determination of tolerable dose ranges with a high degree of translational relevance. Importantly, this approach reduces the number of higher-order animals required for preliminary toxicological studies.

2.3. Evolutionary Distance, Functional Relevance (or) Model Relevance: Avians and Humans Compared

The avian immune system and its associated lymphomyeloid organs are situated phylogenetically between those of reptiles and humans. Similar to humans, the avian adaptive immune system relies on two main cell types, T-cells and B-cells. Primary (central) lymphoid organs are the thymus, bone marrow and the Bursa of Fabricius. The latter is a feature unique to birds, responsible for the amplification and differentiation of B-cell progenitors. In humans, this process occurs in the bone marrow. The yolk sac is the primary haematopoietic site in the chicken embryo between EDD4 and EDD12 [72,73]. Haematopoiesis then occurs in the bone marrow and yolk sac between EDD13 and EDD20 [73]. Further, the spleen has an important role in embryonic lymphopoiesis, as B-cell progenitors undergo rearrangement of their Ig genes before colonizing the Bursa of Fabricius [74].
Secondary (peripheral) lymphoid organs are widespread in birds and consist of spleen, caecal tonsils, Peyer’s patches and lymphoid aggregates in the glands and parenchymal organs. These are populated by T and B cells after their development in the thymus and Bursa of Fabricius, respectively. Well-developed lymph nodes are absent in most avian species including the chicken, giving the spleen a dominant role in the generation of immune responses [75].
Many of the cytokines and chemokines that act as extracellular signals in immunological development and in immune responses identified in mammals are also present in the chicken, although these have only 25–35% amino acid identity with their mammalian orthologs [76].
In galliformes, naturally-occurring blood cancers are common and are mainly virus-associated. The main three neoplasias are: (1) Marek’s disease-associated T-cell lymphomas, (2) avian leukosis tumours of B-cells and other haematopoietic cells and (3) reticuloendotheliosis virus-induced tumours characterized by a variety of syndromes including lymphoid neoplasia [77]. Similar disseminated distribution of malignant immune cells affecting lymphoid and other parenchymal organs including skin and nerves have been described for all three neoplastic diseases [78].
Cytokines play a crucial role in the growth, survival and dissemination of malignant plasma cells in human patients of multiple myeloma (MM): for example Vascular Endothelial Growth Factor (VEGF), Interleukin-6 (IL-6), Tumor Necrosis Factor- alpha (TNF- α), B-cell activating factor (BAFF) and Receptor Activator of Nuclear Factor-κB ligand (RANKL) have all been identified in promoting myeloma intravasation [79,80]. Furthermore, the CXCR4/CXCL12 axis plays a pivotal role in proliferation, invasion, dissemination and drug resistance in human MM patients [81]. Interestingly, VEGF and NF-kB signalling pathways have also been identified as pathways involved in cellular transformation by a Marek's Disease Virus Oncoprotein in chicken [82]. Further, IL-6, TNF-α, RankL, BAFF receptors and CXCR4 have been found to be present in the chicken genome [76].

2.4. Species-Specific Considerations in CAM Models of Haematologic Malignancy

Whether rodent or avian, careful selection of the most appropriate model for cancer xenograft studies is of pivotal importance. Avian CAM models have been developed not only in chickens, but also in quail, duck, turkey, emu and ostrich species. These models not only differ in egg size, but also in the duration of embryonic development, which, in turn, dictates the feasible length of an experiment. For example, chick embryos hatch at ~21 days, with most experimental work conducted up to 18 days. Quail embryos typically hatch after ~18 days (sometimes as early as 16.5), with experimentation usually concluding by EDD 11. Duck and turkey embryos require ~26-28 days of incubation, with experimentation ending around EDD 24. In contrast, ostrich embryos hatch after ~42-46 days, while emus require ~56 days. Such variations offer opportunities in tailoring individual CAM models for specific research applications – for example, long-term studies involving radiation or chemotherapy may benefit from longer-incubation models. Conversely, toxicity assays and anti-angiogenic studies can be efficiently tested in shorter-incubation models. For studies of haematological malignancies, intermediate-incubation models such as chick and turkey embryos appear particularly well suited. For a comprehensive review on chick, quail, turkey and egg embryonic/CAM development, as well as their uses, please refer to references [83,84,85].
The chicken CAM model is the standard and most well-characterised platform for in ovo tumour studies. One review has stated that ~95% of CAM studies use chick embryos, and only ~4% use quail - although turkey, duck or emu models were not captured [85]. Nonetheless, it is evident that other avian models are under-studied across all cancers, let alone blood malignancies. From a technical standpoint, this is reasonable, as chicken eggs are robust and easier to procure than turkey, duck or emu eggs. Importantly, the chick embryo also remains largely immunologically tolerant until late in gestation, permitting xenograft growth for approximately one week without immunological rejection. This window enables rapid tumour vascularisation and expansion prior to the development of functional immunocompetence; consequently, chicken CAM models can recapitulate features of angiogenesis, invasion and metastasis that are difficult to achieve in vitro. Notably, up to 80% of tumour cells injected intravenously (eg. into the allantoic vein) survive in the circulation and extravasate within 1-3 days – a far higher efficiency of dissemination than in adult mouse models [84]. In summary, the ease of use, low cost, rapid tumour formation and ability to model metastasis in the chicken CAM model makes it a highly feasible platform for translational haematologic cancer research.
Quail embryos account for only a minority of CAM studies, despite offering certain practical advantages. The quail eggshell is thinner and easier to open, which simplifies experimental access to the CAM and can improve the success of shell-less ex ovo culture [83]. In fact, quail embryos are small enough to fit into 6-well tissue culture plates; saving incubator space and enabling higher-throughput drug testing [86]. The fundamental biology of the quail CAM is similar to that of the chick, and it likewise tolerates xenograft engraftment. Tumours grafted onto the quail CAM develop faster in absolute terms, and indeed quail embryos enter later developmental stages a few days before chickens. However, while this accelerated timeline can be an asset for rapid assays, it also means shorter experimental windows post-grafting. Nonetheless, quail CAM models are feasible but their use in haematologic malignancy research has been limited so far. Some studies have demonstrated successful tumour cell xenografting onto the quail CAM for angiogenesis and invasion assays [87], suggesting that in principle quail embryos could host blood cancer tumour cells similarly. However, this has yet to be reported. In practice, most researchers default to chickens due to familiarity and scale, but quail remain a viable alternative depending upon experiment size and timeframe. Additionally, the Japanese quail genome was sequenced in 2013 [88,89,90], facilitating molecular studies of tumour-host interactions and broadening the utility of quail CAM assays in cancer and haematologic research.
Larger bird species such as ducks and turkeys have been explored even less frequently in CAM tumour research to date, however, turkey embryos present unique attributes that have been used for a limited number of MM studies. Owing to their proportionally larger eggs, turkey embryos have larger CAM surface areas that could, in theory, accommodate larger (or even multiple) tumour grafts, and offer better graft visualisation over longer observation windows. Additionally, the blood volume of turkey embryos exceeds that of chicks, facilitating serial sampling and simplifying intravenous cell injection or drug administration. However, the slower development of turkey embryos necessitates adjustment of the timing of interventions. For example, a comparative study found that optimal engraftment of chronic myelogenous leukaemia tumour cells occurred after injection on EDD 10 in chickens versus EDD 12 in turkeys [91]. However, engraftment was successfully detected in the turkey bone marrow as early as two days after injection; and, when both chick and turkey were examined seven days after injection, engraftment levels were significantly higher in turkey embryos [91]. This positions turkey embryos as potentially high value models for blood cancer research, although their lower availability, higher cost and thicker shells may limit their adoption.
At the time of writing this review, no articles relating to haematological malignancy research in ostrich or emu embryos were found. However, novel work has introduced the ostrich embryo as an innovative CAM platform for imaging applications. In ovo experiments with ostrich eggs can be performed without the need for dedicated small-animal equipment, as the ostrich egg is large enough to be imaged using standard hospital PET, CT or MRI machines [92]. In one study, methods were established for cannulating ostrich CAM blood vessels and injecting radiotracers, and whole-embryo PET/CT scans with fluorodeoxyglucose (FDG) were successfully conducted to visualise metabolic activity in vivo. Despite the obvious anatomical differences, the biodistribution of FDG in the ostrich embryo was found to be similar to that of chick embryos, rodents, and even humans, with highest glucose uptake in the developing bone growth plates and brain [92]. Ostrich eggs offer potential to bridge a translational gap between CAM assays and imaging; for example, systemic injection of haematological cancer cells followed by whole-body PET/CT could permit observation of their homing to embryonic bone marrow or lymphoid organs, and, in turn, metastasis. Notwithstanding those advantages, ostrich eggs pose their own challenges in terms of higher cost and the need for larger incubators and specialised drilling equipment to penetrate thick shells. Yet, for certain high-impact applications like performing whole-body therapeutic evaluations, the ostrich embryo offers remarkable promise. Bearing in mind that the ostrich embryo has a gestation period of ~42-46 days, it is uniquely positioned to support long-term therapeutic studies such as a breast cancer study in which a 14-day graft period was possible [93]. The same time intervals also align better with clinical treatment cycles of patients, which last about 21-28 days. Taken together with the feasibility of ostrich CAM cannulation and repeated tracer injection/imaging [92], this suggests that longitudinal drug administration is also technically possible and a potentially-attractive model for evaluating multi-cycle chemotherapy.

3. Modelling Blood Cancers in the CAM Model

Despite its potential, the application of the CAM model for blood cancer research remains underexplored relative to solid tumour research [85]. This gap underscores an opportunity to leverage the CAM system for gaining preliminary insights into haematological malignancies. It has been noted that the capacity of the CAM model to replicate aspects of the tumour microenvironment assists in uncovering phenomena not observable in conventional in vitro systems, thus providing a complementary bridge to more complex in vivo models [40].

3.1. Leukaemia

Leukaemia is a group of malignant disorders characterised by uncontrolled proliferation of abnormal white blood cells, disrupting normal haematopoiesis and leading to immunosuppression, anaemia and impaired blood function [107].
Although the CAM model remains underutilised for leukaemia research, a small subset of studies has nonetheless demonstrated its utility for modelling this family of haematological malignancies. Specifically, one study has demonstrated the successful engraftment of human leukaemia cell lines (K562 and DAMI) via both intra-amniotic and intravenous injections into chick embryos, as well as the demonstration of detectable tumour nodules on the CAM within seven days post-cell delivery [94]. Furthermore, the same study confirmed consistent tumour regression following treatment with the anticancer agent doxorubicin [94], highlighting the CAM model as a potential in vivo screening tool for leukaemia therapeutics (and haematological malignancy therapeutics in general).
Grinberg et al. extended this approach using turkey embryos, confirming the broader potential of avian hosts for modelling human leukaemia [91]. This study demonstrated consistent engraftment of leukaemia cell lines in both haematopoietic and extramedullary tissues of turkey embryos; plus a consistent pattern of reduced tumour load following single-dose treatment with doxorubicin [91]. The research was further supported by another study in which primary CD34+ leukaemic stem cells intravenously injected into the chick CAM evoked the detection of CD34 transcripts in embryonic haematopoietic tissues and hepatic lesions [95]. Additional evidence of tumour-host signalling was provided by a study showing that conditioned medium from Friend erythroleukaemia cells triggered angiogenesis upon application to the chick CAM [96]. Other research in this area has demonstrated anti-angiogenic therapeutic responsiveness in K562 chronic myeloid leukaemia cells implanted onto the CAM [97].
Collectively, these focused examples offer compelling evidence for embryonic avian environments as supportive platforms for leukaemic cell and stem cell colonisation, angiogenesis research and therapeutic advancement studies.

3.2. Lymphoma

Lymphoma is the most prevalent blood cancer affecting lymphocytes. It can be classified into Hodgkin’s lymphoma (HL) characterized by multinucleated Reed Sternberg (B cells) or Non-Hodgkin’s lymphoma (NHL), involving both B and T cells.

3.2.1. Hodgkin’s Lymphoma (HL)

To elucidate the mechanistic role of macrophages in lymphoma dissemination, the CAM model has been utilised by Arlt et al. [99]. Co-inoculation of human HL L428 cells with/without CD14+ PBMCs or macrophages onto the CAM EDD 10 elicited differences in functional tumorigenic responses, with co-cultured xenografts exhibiting significant reductions in tumour size and haemorrhaging in vivo. Moreover, α-CD30 immunostaining revealed variations in tumour morphology, compartmentalization and invasion characteristics in the presence of macrophages. These in vivo findings provide a foundation for future studies on immune-mediated invasion in HL chick embryo models.

3.2.2. Non-Hodgkin’s Lymphoma (NHL)

This diverse group of lymphomas is characterized by the clonal expansion of malignant T cells in the skin. Given the high frequency of disease relapse in cutaneous T-cell lymphoma (CTCL) patients, novel therapeutic strategies are urgently needed. In one dual in vitro-in vivo study, a combination treatment with ruxolitinib and resminostat was investigated for its efficacy in inhibiting T cell lymphoma proliferation [100]. Specifically, inoculation of MyLa or SeAx NHL cells onto the CAM on EDD 12 yielded large primary tumours weighing 100–200 mg within seven days. Topical combination treatment with ruxolitinib and resminostat evoked significant reductions in tumour AKT or ERK phosphorylation, in tumour cell extravasation from terminal CAM capillaries, and in metastasis (quantified as human-specific Alu sequences detected by PCR in downstream organs) [100]. Collectively, this underscores the value of the CAM model for assessing the therapeutic potential of JAK/HDAC inhibitor combinations (or other treatment modalities) in CTCL treatment [100].
It is noteworthy that current CTCL models mostly use severe combined immunodeficient (SCID) or athymic nude mice as tumour hosts. However, the absence of functional T cells in these models limits their ability to accurately replicate the lymphoma microenvironment. Accordingly, the CAM model, in which functional T cells emerge by EDD 11 and fully mature by EDD 18, offers a promising alternative as a preclinical system for establishing CTCL tumours in vivo [100].

3.2.3. B-Cell Lymphoma

Burkitt lymphoma (BL) is a rare lymphoma strongly associated with Epstein-Barr Virus (EBV) infection. For most adult patients, relapse occurs within one year of remission, highlighting the need for improved understanding of BL biology. To address this, Klingenberg et al. [101] explored the suitability of the CAM as an in vivo model. Inoculation of BL2B95 cells onto the CAM yielded highly-vascularized solid tumours morphologically resembling BL tumours in 100% of embryos. Moreover, serial intravital imaging between EDD 12-17 captured the movement of single GFP-expressing tumour cells within the CAM [101], establishing this as a viable preclinical model for studying the dissemination of individual BL cells in real time.
Following their success in establishing an in ovo model of BL, Klingenberg et al. [102] tested imipramine blue, an analogue of the tricyclic antidepressant imipramine, for its potential to impede BL dissemination to lymphatics. Imipramine blue, which has recently been investigated in medulloblastoma and CML, significantly reduced both tumour size and dissemination in the BL CAM model, underscoring the value of this model for drug screening and pharmacodynamic evaluation at clinically-translatable concentrations.

3.3. Multiple Myeloma

Multiple myeloma (MM) is the second most common haematological malignancy, accounting for 1% of all cancers diagnosed [108]. It is characterised by abnormal proliferation of plasma B cells in the bone marrow, crowding out healthy plasma cells and other lymphocytes as well as erythrocytes and platelets, ultimately leading to bone lesions, anaemia and persistent infections in patients [109,110]. MM can present as two precursor disease states, Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smouldering Multiple Myeloma (SMM), with progression rates to active MM of respectively 1% and 10% per year [108]. Despite improvements in patient progression-free and overall survival spurred by drug treatments like Bortezomib (Velcade) and Lenalidomide (Revlimid), MM remains incurable and nearly all patients will relapse.

Modelling MM Angiogenesis on the CAM

Angiogenesis, the growth and remodelling of pre-existing blood vessels that facilitates tumour progression [111,112,113], has been well-studied in CAM models. In 1999, Vacca et al. reported a superior angiogenic response in the CAM vasculature following the application of conditioned medium from patients with active MM versus that from patients with non-active disease or with MGUS [104]. This further correlated with vascularisation in the bone marrow. Furthermore, Ribatti et al. showed significantly higher vasoproliferative activity between EDD 8-10 in CAM blood vessels overlain with gelatin sponges containing plasma cell suspensions from patients with active MM versus non-active MM or MGUS [105]. These data strengthened the previous findings with cell-free extracts [104,105], and furthermore were linked to higher mitotic activity in the CAM endothelium during this period [51]. Importantly, this work also identified a critical angiogenic window midway during development (as implants in older embryos had diminished vasoproliferative responses), and highlighted the potential role of cytokines such as fibroblast growth factor-2 and vascular endothelial growth factor (VEGF) as drug targets to reduce MM-induced angiogenesis [105].

MM Solid Mass Growth on CAM

Isolated solid forms of MM, known as solitary plasmacytomas, can occur in bone or soft tissue independently of haematogenous disease; but do not necessarily precede it. Nonetheless, patients with solitary plasmacytomas have an increased risk of progressing to full-blown MM, and accordingly the CAM model has high value in recapitulating this type of tumour mass and assessing its responsiveness to treatment.
In one such study, human MM xenografts were established on the chick CAM using OPM-2 and RPMI-8226 cells pre-cultured with human mesenchymal cells in a collagen type-I matrix and implanted as spheroids atop the CAM ex ovo [41]. Using 4 onplants per embryo, angiogenic responses to plitidepsin and bortezomib were assessed using fluorescent stereomicroscopy. Bortezomib significantly inhibited MM xenograft growth, as measured by GFP ELISA, and Plitidepsin significantly reduced xenograft vascularisation, measured as the number of blood vessels sprouting into the onplant.

MM Drug Testing on the CAM

Another study subsequently utilized the CAM model to test novel marine-derived compounds for inhibitory activity against MM cell-induced angiogenesis [103]. Specifically, GFP-transfected MM cell lines were combined with human bone marrow mesenchymal stromal cells into collagen matrix onplants, and then grafted ex ovo onto the chick CAM on EDD 7 and examined by fluorescence microscopy and GFP ELISA after 5 days of growth. Two compounds were identified as exerting superior tumour-inhibitory effects compared to the clinically-used drug bortezomib [103].
The same researchers also searched for potential anti-angiogenenic activity in these compounds [103], via the “gelatin-sponge” CAM technique pioneered by Ribatti and Vacca [106,114]. Specifically, gelatin sponges soaked in conditioned medium of bone marrow-derived endothelial cells from MM patients were grafted onto the CAM on EDD 8, and exposed to the compounds of interest. Sponges from MM patient samples induced the formation of new capillaries in a characteristic “spoked -wheel” pattern by EDD 12, which was significantly reduced after treatment with four marine compounds [103].
These results highlight the CAM model’s effectiveness in identifying compounds with both anti-tumour and anti-angiogenic properties.

Repurposing Drugs for MM

It is an emerging trend that drugs for different blood cancers (such as the BCL-2 inhibitor Venetoclax used in leukaemia patients) are now being tested for relapsed/refractory MM patients [115,116,117]; and data would suggest that the CAM model offers promise for evaluating their potential benefit. In 2019, Willenbacher et al. [118] tested pixantrone, a monotherapy approved for the treatment of adult patients with aggressive Non-Hodgkin B-cell Lymphoma, against MM onplants in the CAM model. Encouragingly, pixantrone was found to exert strong anti-proliferative activity and to significantly reduce tumour burden. This confirmed and extended parallel in vitro data for the anti-MM effects of pixantrone [118], and further supports the validity of the CAM approach as an effective in vivo model for the testing of MM disease mechanisms and drug responsiveness.

4. Conclusions and Considerations

Avian CAM xenograft models continue to redefine the experimental landscape in cancer research, standing as an agile and ethically-compliant bridge between in vitro systems and mammalian in vivo models. Their ability to support tumour engraftment, vascularisation and therapeutic manipulation within a living organism positions them as a valuable complement to murine xenograft studies, offering a fast and cost-effective triage option to potentially reduce the number of mice used (rather than replace them completely). In the context of haematological malignancies, the CAM platform provides a unique opportunity to assess drug efficacy, toxicity, angiogenesis and tumour-microenvironment interactions in a dynamic, accessible and cost-effective setting (summarised in Table 2). Its simplicity, rapid turnaround and compatibility with modern molecular and imaging tools make it a particularly attractive option for early-stage investigations and mechanistic exploration.
However, the CAM model remains under-utilised as a whole, and therefore, lacks standardisation, including (but not limited to) the field of haematological cancer research. Variations in experimental design, such as the day of implantation, can significantly affect tumour-developmental outcomes and model reproducibility, given the dependence on the cut-off point for embryo sacrifice. Similarly, methods of tumour cell delivery vary widely: some studies apply cells directly onto the CAM surface without a matrix, others use 3-D matrices to inoculate in situ, inject cells into the vasculature (a technically demanding and mortality-prone method), or transfer pre-formed “on-plants” generated in vitro. Additionally, others utilise only conditioned media to assess angiogenic responses, bypassing cell implantation entirely. While such methodological diversity reflects the adaptability of the model, it also complicates cross-study comparisons and obscures consensus on best practices. For example, no uniform agreement exists regarding the optimal implantation day – an especially important factor when injection techniques are employed; as late-stage manipulation of the allantoic vein has been associated with high embryonic death rates. This counteracts the model’s ethical advantages.
Another area requiring clarification concerns experimental replication. Across published studies, distinctions between biological and technical replicates are inconsistently defined. In the view of much of the CAM community, embryos derived from the same batch – identical in age, parental origin, and farm/hatchery – are considered technical replicates, not biological ones, given their shared developmental and genetic backgrounds. Establishing these distinctions will be essential for ensuring experimental transparency and reproducibility across laboratories.
Furthermore, although EU Directive 2010/63/EU provides clear ethical boundaries for CAM experimentation, national and institutional interpretations of these regulations vary, leading to inconsistencies in permissible experimental durations and endpoints across countries. Harmonising these ethical and procedural frameworks would enhance comparability.
Despite these challenges, the CAM model holds remarkable promise for advancing blood cancer research, as exemplified in this review. Its experimental flexibility positions it for high-throughput drug screening and mechanistic studies of tumour-stroma and tumour-vascular interactions. Furthermore, its compatibility with live imaging, molecular analysis and personalised therapy screening further strengthens its position as a translational bridge between cell culture and mammalian models. Importantly, by providing an in vivo context with less complexity and fewer regulatory constraints than higher-order mammalian systems, avian CAM models thereby enable rapid hypothesis testing which can be easily integrated into prospective research – potentially accelerating discovery cycles in preclinical studies. As not all therapeutics can be effectively studied in vitro (eg. therapeutic monoclonal antibodies which require an active immune response to exert their effects), immunocompetent avian CAM models offer unique advantages over many immunodeficient mouse models traditionally used for xenograft studies. However, while mouse models may remain more suitable for long-term metastasis studies, strategic usage of CAM-based assays to pre-screen and optimise pharmacokinetic or toxicity parameters could have a positive impact on reducing the massive numbers of mice currently used for experimental cancer studies.
Looking forward, progress will depend on the establishment of shared standards to enhance model fidelity. As researchers continue to balance ethical refinement with experimental precision, the question may become not which model should prevail, but should the egg or mouse come first? This rhetorical reflection encapsulates the evolving recognition that both systems are interdependent, each addressing distinct but complementary facets of preclinical discovery.

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Table 1. Overview of Common Blood Cancers: Classification, Diagnosis, Treatment, and Survival.
Table 1. Overview of Common Blood Cancers: Classification, Diagnosis, Treatment, and Survival.
Cancer Type Main Cell Type Affected Symptoms Diagnostic Methods Median Age at Diagnosis Common Treatment Regime 5-Year Survival Rate
Leukaemia Acute Lymphocytic Leukaemia (ALL) Immature B lymphocytes
(lymphoblasts)
Fatigue, frequent infection, bruising, bone pain, swollen lymph nodes Blood tests (CBC), BM biopsy, cytogenetic analysis Younger patients, (17 years) [21] Antimetabolites/Chemotherapy,
Steroids, Asparaginase-Specific
Enzyme Therapies,
Targeted therapy (CAR-T, Bispecifics), Anthracyclines, SCT
~90% (children), ~60% young adolescent, ~20-40% (adults) [21]
Chronic Lymphocytic Leukaemia (CLL) Mature B lymphocytes Fatigue, swollen lymph nodes, night sweats, weight loss, frequent infections Blood tests (lymphocytosis), BM biopsy, biomarker testing Older adults
(~70 years) [22]
Targeted therapy (Bruton Tyrosine/Phosphatidylinositol 3- Kinase/B-cell lymphoma 2- Inhibitors). Monoclonal Abs, Chemo(immuno-)therapy ~90% [23], (advanced/cytogenetic dependent reduced survival) [22,24]
Acute Myeloid Leukaemia (AML) Myeloid precursors (myeloblasts) Fatigue, fever, infections, anaemia, easy bruising, bleeding Blood tests, BM biopsy, cytogenetic/biomarker analysis Older adults
(~69 years) [25]
Induction chemo (cytarabine+anthracycline) (7+3 regimen), targeted therapies (e.g., FLT3 inhibitors), SCT ~33% [25]
Chronic Myeloid Leukaemia
(CML)
Myeloid cells (granulocytes) Fatigue, weakness, bone pain, enlarged spleen, unexplained weight-loss Blood tests, BM biopsy, cytogenetic/biomarker analysis Older patients (~66 years) [26] Targeted therapy (tyrosine kinase inhibitors), Immunotherapies, ASCT ~71% [26]
Lymphoma Hodgkin’s Lymphoma Mature B lymphocytes (Reed-Sternberg cells present) Rapidly enlarging lymph nodes, night sweats, fever, weight loss, persistent cough Biopsy of affected lymph node, PET/CT scan, biomarker analysis Younger adults (~39 years) [27] Chemotherapy, radiation, immunotherapy, SCT ~90% [27]
Non-Hodgkin’s Lymphoma Mature B lymphocytes (Reed-Sternberg cells absent) Painless swollen lymph nodes, fatigue, fever, night sweats, cough, abdominal pain Lymph node biopsy, biomarker analysis, imaging Middle-aged to older adults (~68 years) [28] Chemoimmunotherapy (e.g., R-CHOP), radiation, SCT ~74% [28]
Myeloma Multiple Myeloma (Plasma Cell Myeloma) Plasma cells Bone pain, fractures, fatigue, anaemia, kidney dysfunction (CRAB symptoms) Blood tests (M-protein, free light chain), BM biopsy, skeletal survey Older adults (median ~70 years) [29] Proteasome inhibitors, immunomodulators, Steroids, monoclonal Ab therapy, ASCT ~62% [29]
Table 2. Avian Models Used in Human Haematological Research with Cancer Cells.
Table 2. Avian Models Used in Human Haematological Research with Cancer Cells.
Chick Turkey Quail Ostrich/Emu
Leukaemia ✓[94,95,96,97] ✓[91] ✗[98]
Lymphoma ✓[99,100,101,102] ✓[91]
Myeloma ✓[41,103,104,105,106] ✓[91]
† Used to study anti-angiogenic effect of anticancer compounds on CAM without cancer cells.
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