Cell Therapies in Solid Tumors
The precision and efficacy of cell therapies in oncology have raised new hopes for patients
battling refractory and relapsed liquid cancers. Chimeric antigen receptor (CAR)-T cell therapy,
relying on the engineering of autologous T cells to target surface antigens of haematopoietic
malignancies, bridged synthetic biology with medicine (Zugasti et
al.,
2025). There are currently six FDA approved CAR-T cell therapies against haematological
cancers. All of them represent the second out of five CAR generations, characterised by an
intracellular co-stimulatory domain at the tail of a CAR. Third-generation CARs incorporate
multiple co-stimulatory domains, fourth-generation ('TRUCKs') add inducible cytokine expression
to modulate the tumor environment, and fifth-generation CARs include additional signaling motifs
such as JAK/STAT for enhanced activation and control (Korell et
al.,
2022).
However, about 90% of human cancers are solid tumors. Solid cancers create a characteristic
tumor microenvironment (TME) that consists of distinct physical features like
hypoxia and acidity, mechanical features like vascularity, metabolic gradients,
inflammation, and immune modulation (Y.
Wang et al., 2025). Tumors mitigate native immune defense actively, by
upregulating
checkpoint ligands (PD-L1), secreting immunosuppressive factors (TGF-β, IL-10), and recruiting
regulatory T-cells that inhibit their anti-tumoral counterparts. Additionally, passive immune
evasion mechanisms hinder immune reaction by minimizing neoantigen display, and limiting the
T-cell infiltration into dense, vascular extracellular matrix (ECM) (B. Wu
et al., 2024).
Even though extensive effort has been invested in unlocking CAR-T cell therapy for solid
tumors, major hurdles prevent their treatment with currently approved measures. These encompass
immunosuppressive TME, antigen loss and heterogeneity, hostile tumor metabolism, limited
persistence, and laborious personalized manufacturing (Uslu & June, 2025). Another important
area for improvement in CAR T-cell therapy is controlling their excessive activation, which can
trigger life-threatening cytokine release syndrome (CRS) in a significant proportion of patients
(Lu et al., 2024).
Our System
Inspired by the efficacy of CAR T cell therapy in haematological cancers, yet aware of its limitations, we identified an opportunity to separate the immune effector function from native immune mechanisms to enhance their accuracy and efficacy for solid tumors. We used a bottom-up approach to engineer therapeutic cells, insensitive to cancer immunosuppression, while allowing precise control of therapeutic response.
To keep pace with the latest advancements in cell therapy, we have incorporated the most extensively researched and clinically most promising features into our system:
Background
Current approved CAR T-cell therapies lack safety switches, and uncontrolled immune activation can lead to cytokine release syndrome (CRS), a life-threatening condition characterized by an exaggerated immune response. This response results in the excessive release of cytokines such as interferon-γ, granulocyte-macrophage colony-stimulating factor, proinflammatory interleukins, and tumor necrosis factor-α (B. Liu et al., 2024). CRS rate ranges from 42-100% and is the most common side effect in CAR T patients, while immune effector cell-associated neurotoxicity syndrome (ICANS) constitutes another major threat (X. Xiao et al., 2021).
- Improved safety of PHOENICS cells - We implemented an inhibitory input receptor that senses ligands indicative of healthy tissue to prevent immune overreaction.
- Dephosphorylation of the substrate - The inhibitory input receptor is connected to a phosphatase, which reverses substrate phosphorylation
- Dynamic response reversal - Dephosphorylation restrains the immune-like effector functions when the cell is located in healthy tissue
- Kill switch - We plan to implement the inducible iCasp9 kill switch for complete termination of PHOENICS cell activity when they pose a danger to the patient.
State of Research:
Currently available mechanisms of switching therapeutic cells’ response fall into two classes: reversible switches and irreversible ‘suicide’ system. Reversible switches are either small-molecule-gated or adapter-controlled and allow dose-tunable, temporary suppression of cells’ activity. The function is restored when the adapter is withdrawn. Irreversible safety switches based on iCasp9 or HSV-TK permanently eliminate CAR T-cells via induced apoptosis. iCasp9-based switches have progressed to phase I/II clinical testing, and some two adapter switches are in phase one (Lu et al., 2024; Minagawa et al., 2019). By implementing these safety layers into our PHOENICS cells, we are aligning our project with the latest research and developments in cell therapy.
Background
Immunotherapies often target cancer-specific surface ligands to engage immune cells or directly kill the cancer cells. However, TME is characterized by a distinct repertoire of secreted proteins. Soluble ligand gradients can be universal for many cancer entities, including TGF-β, IL-10, IL-8 or cancer specific, like GDF15 for pancreatic cancer or LY6K for many cervical tumors (Luo et al., 2016, p. 201; Melero et al., 2025; J. Yang et al., 2025, p. 202).
- Soluble protein sensing via GPCRs - We engineered the PHOENICS circuit to target soluble protein ligands within the TME and have shown a selective gene expression and secretion of effector proteins controlled by VEGF sensing.
- Soluble protein sensing via MESA-receptors - We demonstrated PHOENICS' ability to process soluble TNF-alpha concentrations to regulate gene expression via MESA-receptors.
- De novo design of protein binding domains - To integrate various soluble protein cues of the TME, we created and screened a library of cancer-relevant de novo binders for possible stimulatory and inhibitory ligands, using our dry lab model SPARC. With that, the PHOENICS circuit can be expanded to sense any soluble protein-ligands characteristic of a patient's TME and express or secrete therapeutic effectors of choice.
State of Research
Several phase I and II clinical trials sought to leverage the characteristic cues of the TME by specifically targeting the tumor secretome in solid tumors. These approaches often involve blocking immunosuppressive effector proteins through small molecules, monoclonal antibodies, or antibody-drug conjugates (J. Yang et al., 2025). The influence of soluble ligands in the TME on the immune response was also acknowledged in the field of cell therapy. An example, currently in phase I clinical trials for myeloma are TGF-β induced NK cells equipped with engineered dominant-negative TGF-β receptor II. Though they bind soluble TGF-β, it does not induce immunosuppressive signaling (B. Yang et al., 2013). Inverted cytokine receptors are currently engineered to sense immunosuppressive IL-4 cytokines, but convert the downstream signal to that of the immunostimulatory IL-7 receptor, propagating pro-T-cell signaling (Y. Wang et al., 2019). Moreover, CAR T cells have also been adjusted to sense soluble ligands, but platforms whose primary logic relies on endogenous soluble-factor sensing have not yet entered clinical trials (Chang et al., 2018). Building upon these precedents of engineering immune cells to respond to TME-derived soluble factors, we have designed PHOENICS cells to specifically activate in TME.
Background
Aberrant small molecule repertoires in TME, such as high lactate concentrations, is one of many strategies of cancer to evade immune response (X. Jin et al., 2025; Peralta et al., 2024). Some molecules, like succinate, are simply byproducts of aberrant metabolism, but others, like extracellular lactate or ATP, not only accumulate due to metabolic changes but also actively signal to promote tumor progression, including processes like angiogenesis (X. Jin et al., 2025; Tannahill et al., 2013; Vultaggio-Poma et al., 2020).
- Small-molecule sensing via synthetic Receptors - Both, our MESA-receptors and synthetic GPCRs are able to sense small molecules. By retargeting them to lactate, ATP or other small-molecules upregulated in the TME, we can tap into a wide variety of cancer-relevant ligands to precisely activate our system.
- Proof of concept with SalB - We optimized an ultrasensitive small molecule input, achieving a reproducible 151-fold change in phosphorylation-dependent reporter expression.
- ATP sensing receptor - Based on our proof of concept, we engineered a receptor that translates environmental ATP levels into substrate phosphorylation levels, and response.
State of Research:
Although small molecule sensing has not yet been applied for tumor targeting, there are existing tools for coupling effector response to the environmental concentration of small molecules. Zhang et. al recently reengineered CAR receptor architecture to selectively bind antigens in TME-specific high ATP concentrations (Q. Zhang et al., 2024). Another approach to harness small molecules to control CAR activation is through an ON-switch. Some proof-of-concept systems have been developed to gate either extra- or intracellular transduction of stimulatory signals based on small molecule dependence (Park et al., 2021; C.-Y. Wu et al., 2015). By integrating the ability to sense not only proteins but also to process small-molecule cues, we equip the PHOENICS toolbox with exceptional flexibility by design.
Background
The recognition of two ligands simultaneously is mostly combined with the logic gates of the effector function of a cell. Main types of logic gates include AND, OR, and NOT gates, and they are frequently combined in more sophisticated decision computation to ensure the precision of the output of a system (Savanur et al., 2021).
- Multi-ligand integration in PHOENICS cells - Our PHOENICS circuit computes two opposing inputs and only activates when the stimulatory signal outweighs the inhibitory one. We demonstrated TNFα (stimulatory) and rapalog (inhibitory) to show that gene expression activation is stopped once the inhibitory cue is sensed.
- AND-gate using PAGER - Our Synthetic nanobody-fused PAGER GPCRs are a small-molecule-protein AND-gate, enabling more complex cellular processing of extracellular ligands.
- Expanded MESA extracellular domain library - We integrate Bindcraft-generated binders into extracellular domains design, allowing the user to adjust the response activation thresholds based on select TME cues.
State of Research:
The potential of simple gates in cell therapies is constantly explored in preclinical studies, but only few sophisticated gate combinations have progressed to clinical trials. SynNotch, an universal receptor architecture for various logic gates implementation in cells, is in phase 1 for irreversibly induced CAR expression against glioblastoma (Okada, 2025; Shirzadian et al., 2025). Another trial involving multiple solid cancer entities, implements the NIMPLY gated CAR receptors, that sense heterozygous gene loss, and trigger the response when HLA surface protein is absent (A2 Biotherapeutics Inc., 2025; Tokatlian et al., 2022). Lastly, a Phase 1 CAR-NK therapy integrates OR with NOT logic by engaging leukemia targets but switching off when sensing HSC markers to protect hematopoietic stem cells (Garrison et al., 2021). PHOENICS serves as a framework for cellular processing of extracellular ligand cues with logic operations. With it we lay the foundation for cell therapies with different levels of complexity.
Background
Interleukins mediate communication in innate and adaptive immunity. In immunotherapy, suppressive interleukins are blocked, while stimulatory ones are delivered to activate immune responses at the tumor site (Briukhovetska et al., 2021). IL-12 is a powerful cytokine that stimulates anti-tumor immunity. However, its systemic use causes severe toxicity, making locally confined delivery necessary for safe cancer therapies (Nguyen et al., 2020). TNF-related apoptosis-inducing ligand (TRAIL) is a cytokine used in cancer immunotherapy. TRAIL binds to receptors specifically expressed on cancer cells, triggering their apoptosis while sparing healthy cells. Continuous tumor evolution often leads to TRAIL resistance, limiting its effectiveness. This resistance can be overcome through the combined secretion of kinase inhibitors that prevent the development of TRAIL resistance, restoring its tumor-killing capabilities (Montinaro & Walczak, 2023).
- Phosphorylation-controlled release - In PHOENICS effector proteins can be retained in the endoplasmic reticulum and released in a burst upon activation.
- Localized therapeutic delivery - Precise TME-mediated activation of PHOENICS cells ensures robust secretion of tumor-relevant IL-12 or TRAIL of tumor tissue while minimizing off-target effects.
- Adaptable secretion platform - Our proof-of-concept for a robust secretion platform, allows to adapt the PHOENICS cells to secrete a wide range of therapeutically-relevant proteins.
Gene and cell therapy approaches, including intratumoral delivery
of IL-12-encoding plasmids and engineering of adoptive T cells
(TRUCKs) to secrete IL-12 upon antigen recognition, have to
successfully enhance antitumor immune responses in early
clinical trials. These therapies leverage IL-12's ability to
stimulate immune activation specifically within the TME,
avoiding the severe side effects reported upon systemic IL-12
administration (Briukhovetska et
al.,
2021).
TRAIL remains another potent pro-apoptotic agent, showing
clinical effectiveness when delivered with CDK9 kinase
inhibitors. One clinical trial for TRAIL release by ACTs in
metastatic melanoma has reached phase II but was terminated
later (Rosenberg, 2015). Another trial for ACTs involves
tumor-homing MSCs, expressed as lung cancer therapy (University
College, London, 2021). Current development focuses on
combination therapies and engineered cells secreting TRAIL to
overcome resistance and improve tumor selectivity (Snajdauf et al., 2021). The
PHOENICS
toolbox features two powerful effector moieties that are
currently the focus of extensive research for their use in cell
therapy applications. Its modular architecture enables the
seamless integration of additional effectors, which can be
customized for specific cancer types.
We envision that the specificity of PHOENICS cells will make them a safe and effective solution for metastatic and solid tumors. The modularity of the circuit and the interchangeability of its components will allow scientists and clinicians to adapt our platform as a tunable cell therapy. Using our dry lab model SPARC, additional components can easily be integrated and activation thresholds can be specifically tailored to cancer types or patient needs. Ultimately, we foresee that the universal design of the circuit will provide a foundation for experiments in different cellular chassis, enabling the identification of the optimal chassis for specific tumor moieties. This approach could pave the way toward an off-the-shelf therapy against common tumor entities with a defined, standardized secretome while also enabling personalized treatments specifically tailored to patients' TME profiles.
Example Applications of the PHOENICS circuit
Pancreatic Cancer
Pancreatic cancer is an exceedingly aggressive solid tumor that originates in
the digestive tract. It is characterized by a high risk of local invasion and
metastasis. For patients with pancreatic cancer, the preferred treatment is
early surgical restriction. Nevertheless, the tumor is usually diagnosed in advanced
stages, when surgical restriction is only an option in 20% of the time, and the
overall prognosis is poor (Zheng et al., 2024).
Advanced unretractable tumors are most frequently treated with a neoadjuvant chemotherapy
regimen, such as FOLFIRINOX, consisting of the drugs 5-fluorouracil, leucovorin, irinotecan, and
oxaliplatin. Although, this harsh treatment only marginally increases the short
5-year survival rate, from 5% to 8%. For patients with metastatic pancreatic
cancer, palliative chemotherapy still often remains the
only option (Czaplicka et al., 2024; Zheng
et al.,
2024).
Standard therapeutic interventions including, radiation therapy, and chemotherapy are
associated with severe adverse effects and a low overall survival rate,
particularly in cases of pancreatic cancer (Zheng et al.,
2024).
Immune checkpoint inhibitors (ICIs) such as anti-programmed death receptor 1 (PD-1) antibodies,
anti-programmed cell death ligand (PDL-1) antibodies, and anti-cytotoxic T-lymphocyte-associated
protein 4 (CTLA-4) antibodies have been approved for the treatment of various tumors, including
pancreatic cancer (Czaplicka et al., 2024). In combination
with
chemotherapy, the PD-1 antibody nivolumab leads to an increased 1-year survival rate of 35% for
pancreatic cancer patients. A downside is that ICIs that target PD-1 can only be applied to the
minority of patients whose tumors express PD-1. Therefore, the heterogeneity of cancer limits
the efficacy of the limited therapeutic options (Q. Yang
et al., 2024).
Regarding the application in pancreatic cancer, we consulted Prof. Dr. Rienk Offringa, an expert in cell therapies for gastrointestinal tumors at DKFZ, who advised us to target ATP as a small-molecule input and GDF15 as a soluble protein ligand.Click to see interview
PHOENICS circuit design
We propose the PHOENICS circuit design to accurately compute the concentrations of soluble ligands within the TME of pancreatic cancer. The therapeutic response is triggered by integrating signals from cancer-specific stimulatory ligands and inhibitory ligands, thereby protecting healthy tissue from off-target effects. High cancer specificity and minimized tissue damage can be achieved by the PHOENICS cells, computing the ratio between upregulated ligands such as GDF15, OGN, and LY6K, and those downregulated, like SPOCK2.
Positive Ligands
GDF15
Growth Differentiation Factor 15, a member of the TGF-β family, is normally expressed at low levels in healthy tissues but becomes strongly upregulated under conditions of cellular stress, tissue damage, and inflammation. Upregulated GDF15 promotes proliferation and metastasis in pancreatic cancer (Zhu et al., 2024). It is released into the ECM (Guo & Zhao, 2024) which makes a perfect potential stimulatory input for pancreatic cancer
OGN
Osteoglycin is a proteoglycan of the small leucine-rich proteoglycan (SLRP) family, which is found in the ECM. OGN can act as a tumor suppressor or promoter, with its function varying in different cancer types. For Pancreatic Cancer, overexpression compared to healthy tissue was found during all stages of the malignancy (Qin et al., 2022).
LY6K
Lymphocyte antigen 6 family member K, member of the LY6 family, was found to be upregulated across multiple solid tumors, including pancreatic and cervical cancer. Elevated LY6K expression in these malignancies is linked to poor clinical outcomes, marking it as both a potential prognostic biomarker and a promising target for therapeutic intervention (Luo et al., 2016).
Negative Ligands
SPOCK2
SPOCK2 is an ECM proteoglycan found to be significantly downregulated in pancreatic cancer cell lines secretome, compared to healthy pancreatic tissue. Its decreased expression is associated with enhanced tumor cell proliferation and migration, while higher SPOCK2 levels correlate with better patient prognosis, making it a promising inhibitory input ligand for PHOENICS cells against pancreatic cancer (Aghamaliyev et al., 2023).
Our dry lab team generated binders for all of the ligands mentioned above. To demonstrate the relevance of the synthetic binder generation, we functionally validated the GDF15 binder in the wet lab (link to GDF15).
Outlook in Cell Therapies
Adoptive cell therapies (ACT) are a rapidly advancing approach
in cancer
treatment, offering new hope for patients with challenging, heterogeneous solid tumors like
pancreatic cancer. For instance, the use of CAR-T cells has recently reached phase III clinical
trials. Patients with advanced pancreatic cancer overexpressing mesothelin were treated with
anti-mesothelin 7*19 CAR-T cells. For the majority, the therapy resulted in a near-complete
tumor eradication within 240 days. These results show the potential of ACT and the
importance of further research in this field, for the treatment of advanced solid tumors (Pang et al., 2021).
Regardless of the recent advances, all ACTs are associated with a range of adverse effects
and limitations. A critical limitation pertains to interpatient and intratumoral tumor
heterogeneity, owing to the highly variable and dynamic antigen landscape of solid tumors, which
severely restricts the efficacy and broad applicability of ACT. Additional barriers include the
poor tumor infiltration capability of immune cells or the persistence of the therapeutic agents
within the tumor microenvironment. Another major concern is on-target off-tumor toxicity, which
occurs when the targeted antigens are not strictly tumor-specific. This can lead to collateral
damage to healthy tissue. Finally, cytokine release syndrome (CRS) represents a potentially
life-threatening systemic inflammatory response. CRS is caused by excessive immune activation
and can result in high fever, hypotension, multi–organ dysfunctions, and in severe cases, death
(Y. Jin et al., 2021).
Cervical Cancer
Cervical cancer is a common and potentially lethal malignancy of the female reproductive tract,
ranking as the fourth most frequent cancer in women worldwide. Almost all cases
(~95%) are attributable to persistent infection with high-risk human papillomavirus (HPV),
particularly genotypes 16 and 18, which drive oncogenesis through viral oncoproteins E6 and E7
that inactivate the tumor suppressors p53 and pRb. Despite being largely preventable through HPV
vaccination and screening programs, cervical cancer continues to represent a major
global health burden, particularly in low- and middle-income
countries where access to preventive strategies is limited due to socioeconomic
factors (Caruso et al., 2024).
The prognosis of cervical cancer is closely tied to the stage at diagnosis. Early-stage
disease is mostly curable with radical hysterectomy, a surgical removal of the whole uterus and
cervix. For locally advanced disease, chemoradiation with cisplatin and brachytherapy remains
the standard of care. However, patients with recurrent or
metastatic cervical cancer face a poor prognosis, with a
5-year survival rate of only ~19%. These cases have historically relied on
chemotherapy, sometimes combined with bevacizumab immunotherapy, but responses have been modest
(Caruso et al., 2024; Tewari, 2025). Recent advances in
immunotherapy have reshaped the treatment of cervical cancer. In the metastatic
setting, the PD-1 inhibitor pembrolizumab combined with chemotherapy ± bevacizumab is
FDA-approved, improving survival but adding risks of anemia, neutropenia, and other
severe side effects. In locally advanced disease, pembrolizumab with
chemoradiation is now FDA-approved, providing a progression-free treatment, regardless of PD-L1
status. Other checkpoint strategies, including or bispecific antibodies are in clinical trials.
New systemic options include antibody-drug conjugates (ADCs). The tissue
factor-targeted ADC tisotumab vedotin received full FDA approval in 2024 after demonstrating a
survival benefit, but it also carries notable ocular toxicities and
peripheral neuropathy. In addition, HER2-directed therapy (trastuzumab
deruxtecan) received accelerated approval for the small subset of HER2-positive cervical cancers
(Caruso et al., 2024; Tewari, 2025; Yu et al.,
2023).
PHOENICS circuit design
Efficiency and safety of cervical cancer treatment can be achieved by recruiting PhoENICS cells to sense ligands upregulated in the cervical cancer secretome, namely LY6K and Cyr61, and reverse therapeutic response once inhibitory ligands such as OGN and CKRT13 are detected.
Positive Ligands
LY6K
Except for its role in pancreatic cancer, LY6K is severely overexpressed in cervical cancer secretome and found to regulate its malignant character of cervical cancer (Chen et al., 2016). With a fold change between 4.9 and 5.6 in healthy tissue compared to cancerous tissue (Luo et al., 2016; Robinson et al., 2019), LY6K poses as a promising candidate as stimulatory input.
CYR61
In more than half of primary cervical cancers, the pro-angiogenic protein CYR61 is significantly upregulated. Overexpression is associated with aggressive tumor features, such as increased depth of invasion and unfavorable prognosis, suggesting a role for CYR61 in driving tumor progression. CYR61 is a known inducer of inflammatory cytokines shaping the TME. Once secreted, it associates with the ECM and cell surfaces, influencing cell adhesion, migration, and angiogenesis (Mayer et al., 2017).
Negative Ligands
DPT
Dermatopontin is a protein involved in the ECM assembly and interactions, negatively regulates cell adhesion, and is downregulated in cervical cancer (Bettadapura et al., 2025). With a fold change between -5.7 and -5.4, DPT is a possible inhibitory input for PHOENICS cells in cervical cancer (Robinson et al., 2019).
OGN
Osteoglycin is notably downregulated in squamous cervical cancer, which accounts for approximately 83% of all cervical cancer cases (M. Wang et al., 2024). With a fold change between -6.4 and -7.9 in healthy tissue compared to cancerous tissue, OGN is a promising candidate as an inhibitory input for cervical cancer therapies (Robinson et al., 2019).
CKRT13
Proteomic analysis and immunohistochemistry confirm significantly lower Keratin 13 (CKRT13) expression in cervical cancer tissues compared to normal cervical mucosa. CKRT13 secretion reflects the disruption of the epithelial cell differentiation and integrity. Its loss marks dedifferentiation of tumor cells and correlates with invasive phenotypes (Lomnytska et al., 2010).
Outlook in Cell Therapies
Cell therapies for cervical cancer are still experimental. Tumor-infiltrating
lymphocytes (TILs) therapy has shown durable responses in some patients but is limited by
complex manufacturing and IL-2-related toxicities (Yu et al.,
2023).
Another TILs cell therapy targets both viral and non-viral tumor antigens, helping to overcome
immune evasion. CAR-T and TCR-T therapies targeting HPV E6/E7 and other antigens remain in early
trials, with challenges including CRS and on-target toxicity. TCR therapies targeting HPV
antigens in clinical trials aim to enhance specificity and efficacy while therapeutic vaccines
like the Listeria-based ADXS11-001 and DNA vaccines induce HPV-specific immunity.
Although promising, challenges such as immune suppression within the tumor microenvironment,
response variability, and manufacturing remain significant (Burmeister et
al., 2022).
Glioma
Gliomas are a diverse group of brain tumors originating from glial cells. They can progress to
glioblastoma, the most aggressive form, marked by rapid growth, microvascular
proliferation, necrosis, and specific metabolic mutations. Glioblastoma presents as the most
devastating primary malignancy of the central nervous system, with patients facing a
median survival of 12-15 months despite maximal intervention. The disease's
infiltrative growth makes complete surgical removal nearly
impossible, as tumor cells spread extensively into healthy brain tissue. While
neurosurgeons aim for the safest, most complete resection, often aided by fluorescence-guided
techniques using 5-aminolevulinic acid, microscopic disease usually remains, leading to
recurrence (Singh et al., 2025).
Post-operative management combines radiotherapy with the alkylating agent temozolomide
(TMZ). This treatment improves the two-year survival rate from 10.4% to only 26.5%. This
minimal improvement of survival rate is dependent on the tumor's molecular
profile. Only half of the patients whose tumors exhibit MGMT promoter methylation favorably
respond to TMZ treatment, while the rest minimally benefit from systemically toxic
chemotherapeutic (Singh et al., 2025). Initially responsive
tumors can
develop resistance to TMZ or even alter their microenvironment, promoting the
evolution into a more aggressive phenotype (Chien et al.,
2021).
Multiple approaches to replace the unspecific chemoradiation have been undertaken, mainly
targeted against immunomasking PD-1. However, the results of phase III trials immunotherapeutic
approaches against glioblastomas have proven profoundly disappointing. PD-1 inhibitors like nivolumab and
pembrolizumab, either as monotherapy or combined with standard systemic chemotherapy, have
consistently failed to improve survival rates. The tumor establishes an intensely
immunosuppressive microenvironment, homing the regulatory T cells, myeloid-derived suppressor
cells, and M2-polarized macrophages to actively suppress cytotoxic immune responses. The
blood-brain barrier compounds additionally limit both drug penetration and immune cell
trafficking. Another obstacle for implementing immunotherapy is glioblastomas' relatively stable genome,
which provides few neoantigens.
As an expert in the field of CAR T-cells development, Dr. Mirco Friedrich advised us to use 2-HG as a stimulatory input.
PHOENICS circuit design
The PhoENICS circuit could harness the complex TME of glioma by activating its effector functions upon sensing a hallmark of glioma - 2-HG. Response can be silenced in an increasing gradient of RELN, an ECM protein abundantly secreted by neurons, but diminished in glioma tissue.
Positive Ligands
2-HG
2-hydroxyglutarate is a product of mutated isocitrate dehydrogenase (IDH), produced in approximately 80% of lower-grade gliomas and secondary glioblastomas. This metabolite plays a crucial role in shaping the TME by promoting immunosuppressive state in infiltrating myeloid cells. This induces a tolerogenic phenotype in T-cells and suppresses antigen presentation, enabling the cancer to evade the immune response (Friedrich et al., 2021).
Negative Ligands
RELN
RELN is an ECM protein crucial in neural development, primarily regulating neuronal migration and brain development. RELN downregulation in gliomas correlates with increased tumor malignancy. RELN signaling prevents cancer cell migration, and its loss in glioma cells enhances the migratory behavior, contributing to tumor progression and metastasis (Li et al., 2020).
Outlook in Cell Therapies
Recent clinical trials have explored autologous tumor-infiltrating lymphocytes,
engineered to secrete anti-PD-1 antibodies. Another approach that has reached phase I and II
utilized CAR-T cells targeting antigens like IL-13Rα2 and EGFRvIII. Only bivalent linked CAR-T
cells targeting both IL-13Rα2 and EGFR showed tumor reduction in patients. Although the criteria
for overall response rate were not met, this approach highlighted the potential of dual-target
strategies for overcoming antigen escape (Y. Liu et al.,
2024).
Moreover, NK cell-based therapies, including autologous NK cell infusion, have shown safety in
early Phase I trials, but the cytotoxic efficacy remains limited. Stem cell-based strategies
have also reached phase I/II stages, with trials like the use of mesenchymal (MSCs) or or neural
stem cells (NSCs). Their tumor-tropic migration makes them promising vehicles that locally
deliver therapeutic enzymes, prodrug-activators, or oncolytic viruses (G. Wang & Wang, 2022).
Additionally, the combination of dendritic cell vaccines, such as Deca®-L, with tumor treatment
with electrical fields is being explored in Phase III trials, with indications of improved
overall survival (Van Gool et al., 2023).
Challenges such as the high variability in tumor response, difficulty in determining
progression, and the complex immunological dynamics hindered many trial designs and patient
recruitment (G. Wang & Wang, 2022).
Chassis Cell Candidates for PHOENICS Cell Therapy
The selection of an appropriate cellular chassis is critical in the development of engineered cell therapies for cancer treatment. An ideal chassis cell must fulfill several key requirements: capacity for genetic modification to accommodate synthetic signaling circuits, tumor-homing capabilities to ensure localization within the tumor microenvironment (TME), an acceptable safety profile, and scalability for clinical manufacturing. Our phosphorylation-based signaling platform PHOENICS is designed to compute stimulatory and inhibitory ligand signals coupled to therapeutic effector functions such as IL-12 or TRAIL secretion. It demands a chassis that can support signal processing while maintaining viability within the hostile TME.
While autologous CAR-T cells have achieved remarkable success in hematological malignancies - largely due to their inherent cytotoxic capabilities - their limitations in solid tumor applications have spurred exploration of alternative cellular platforms. By bringing customizable, built-in effector functions to the table, the design of the PHOENICS toolbox allows for a more flexible chassis cell selection compared to classical cell therapy approaches, without the need for inherent cytotoxicity.
Mesenchymal Stem Cells
MSCs are hypoimmunogenic as they express low levels of MHC class I to protect themselves from being attacked by NK cells, while their lack of MHC class II prevents other immune responses (Shi et al., 2025). Therefore, MSCs pose a promising chassis cell candidate for allogenic cell therapies without host rejection, showcased by MSC-based Ryoncil, the first off-the-shelf allogeneic cell therapy product to be approved by the FDA (Barrett & Digaudio, 2025). MSCs are resistant to hypoxia in TME, due to the low oxygen conditions in which they maturate in bone marrow. MSCs generally tolerate genetic modifications through viral vectors and are compatible with TRAIL and IL-12 payloads which have been implemented and experimentally validated in the PHOENICS toolbox (Shi et al., 2025).
MSCs can be derived from bone marrow, adipose tissue, placenta, or cord blood among other sources (Pirsadeghi et al., 2024), providing broad sourcing availability with low ethical risks. Clinical trials have confirmed MSCs safety profile as vectors for therapeutic agents including cytokines and oncolytic viruses (Ruano et al., 2020).
Their reported antitumor activity can be enhanced with our PHOENICS circuit arming the cells with precisely controlled potent effectors. Shi et al. (2025) note that "due to the complexity of the tumor microenvironment and the heterogeneous expression patterns of solid tumor antigens, any strategy relying solely on a single effector targeting one antigen may not achieve complete tumor eradication" - which directly supports our multi-input synthetic circuit approach.
Natural Killer Cells
Macrophages
Roadmap to Clinical Trials
Preclinical Development
Our clinical translation strategy is aimed to expand our network of scientific advisors and key opinion leaders who bring expertise in cell therapy development to the table. Early engagement with patient advocacy groups and disease-specific boards has helped us to identify unmet clinical needs. With PHOENICS, we are addressing a critical gap in oncology by developing a cell therapy platform designed for the unique challenges of solid tumor microenvironments, where current approaches have been largely ineffective. Therein, PHOENICS aims to mitigate common adverse events such as CRS and ICANS, offering an improved safety profile compared to existing cell therapies.PHOENICS will initially be developed as a last-line therapy for relapsed, metastatic, and refractory solid tumors, where conventional treatments offer limited benefit and patients face poor prognoses. This allows us to demonstrate efficacy in the most challenging cases while establishing a comprehensive safety profile. Upon demonstrating robust in vivo efficacy and safety, PHOENICS could advance to second-line therapy, applied after chemo- or radiotherapy, or be deployed as a combination therapy enhancing systemic responses through localized, tumor-targeted cytokine delivery.
Our next milestone on this path is establishing a Target Product Profile (TPP), which serves as a communication tool for all stakeholders. It defines desired product characteristics, clinical endpoints, and the studies required to demonstrate efficacy and safety. To generate the data that anchors the TPP, we aim to expand validation of tumor-specific targeting in vitro, then confirm performance in patient-derived organoids. Finally, we plan to advance towards in vivo models, establishing pharmacology, biodistribution, and toxicology. This stepwise approach will enable us to define and commit to our lead indication, based on our most promising results.
In parallel, Chemistry, Manufacturing, and Controls (CMC) must be implemented to ensure that development is conducted under cGLP and GMP standards. This includes defining product specifications, establishing manufacturing processes, and validating analytical methods. A regulatory gap analysis will identify any deficiencies in our data or regulatory strategy before initiating clinical development. Securing seed funding during this phase is essential to generate robust proof-of-concept data for our target indication.
Clinical Trials and Regulatory Milestones
Upon completion of comprehensive pharmacology and toxicology studies in relevant animal models, the Clinical Trial Application (CTA) for approval in Europe or Investigational New Drug (IND) application for the US must be completed. This application must be supported by the Investigational Medicinal Product Dossier (IMPD), which includes all CMC, clinical, and non-clinical data necessary for regulatory review.Once application is approved, clinical development will progress through three standard phases. Phase I ensures safety and the highest tolerated dose in a small group of patients. Phase II assesses clinical activity and preliminary efficacy. Phase III involves randomized, double-blind, placebo-controlled studies to provide definitive evidence of the drug’s potency. Upon successful completion of these phases, we would prepare a Marketing Authorization Application with a comprehensive Common Technical Document. These would undergo regulatory review by the EMA and other authorities, with Phase IV post-marketing surveillance studies to follow.
We recognize the ambitious scope of our endeavor, but PHOENICS is built on a vision to improve patients' lives through the power of bioengineered living therapeutics. We approach this challenge with both determination and humility. Each milestone we achieve, successful or not, contributes to the field and brings the broader scientific community closer to offering cancer patients safer, more effective options that could fundamentally change their prognosis and quality of life.
Outlook
Knowing that the complete eradication of a solid tumor often comes with careful combination therapy, we envision PHOENICS to complement CAR T-cell platforms. For example, engineering PHOENICS to secrete matrix metalloproteinases would result in the degradation of the ECM, which poses a key barrier in solid tumor immunotherapy. This could enhance the tumor infiltration by another living therapeutic cell. PHOENICS cells could also secrete chemokines as they migrate to the tumor, guiding immune cells or other cell therapeutics such as velocity CAR-T cells (Johnston et al., 2024).
Beyond secreted small-molecule or protein cues, we have established first promising results in implementing sensors for elevated temperature, pH, and hypoxia in our system. Equipping cells with the ability to couple effector outputs to these additional environmental signals characteristic of tumors provides additional safety mechanisms, increasing the system's accuracy and further reducing adverse events.
A critical future direction involves engineering PHOENICS to counteract tumor immune evasion and therapy resistance. This could include cells designed to disrupt immunosuppressive signaling (e.g., targeting TGF-β or adenosine pathways), overcome antigen escape through multi-target recognition, or reverse T cell exhaustion through localized checkpoint inhibitor delivery. Through these capabilities, PHOENICS could address current gaps in therapeutic regimens and serve to complement rather than replace existing therapeutic approaches.
- A2 Biotherapeutics Inc. (2025). A Seamless Phase 1/2 Study to Evaluate the Safety and Efficacy of A2B694, an Autologous Logic-gated TmodTM CAR T, in Heterozygous HLA-A*02 Adults With Recurrent Unresectable, Locally Advanced, or Metastatic Solid Tumors That Express MSLN and Have Lost HLA-A*02 Expression (Clinical Trial Registration No. NCT06051695). clinicaltrials.gov. https://clinicaltrials.gov/study/NCT06051695
- Abdin, S. M., Paasch, D., Kloos, A., Oliveira, M. C., Jang, M.-S., Ackermann, M., Stamopoulou, A., Mroch, P. J., Falk, C. S., von Kaisenberg, C. S., Schambach, A., Heuser, M., Moritz, T., Hansen, G., Morgan, M., & Lachmann, N. (2023). Scalable generation of functional human iPSC-derived CAR-macrophages that efficiently eradicate CD19-positive leukemia. Journal for ImmunoTherapy of Cancer, 11(12). https://doi.org/10.1136/jitc-2023-007705
- Aghamaliyev, U., Su, K., Weniger, M., Koch, D., D’Haese, J. G., Werner, J., & Bazhin, A. V. (2023). SPOCK2 gene expression is downregulated in pancreatic ductal adenocarcinoma cells and correlates with prognosis of patients with pancreatic cancer. Journal of Cancer Research and Clinical Oncology, 149(11), 9191–9200. https://doi.org/10.1007/s00432-023-04845-5
- Antoon, R., Overdevest, N., Saleh, A. H., & Keating, A. (2024). Mesenchymal stromal cells as cancer promoters. Oncogene, 43(49), 3545–3555. https://doi.org/10.1038/s41388-024-03183-1
- Barrett, D., & Digaudio, D. (2025). The landscape of cell and gene therapy today. Molecular Therapy, 33(6), 2316–2323. https://doi.org/10.1016/j.ymthe.2025.05.006
- Basak, U., Sarkar, T., Mukherjee, S., Chakraborty, S., Dutta, A., Dutta, S., Nayak, D., Kaushik, S., Das, T., & Sa, G. (2023). Tumor-associated macrophages: An effective player of the tumor microenvironment. Frontiers in Immunology, 14, 1295257. https://doi.org/10.3389/fimmu.2023.1295257
- Briukhovetska, D., Dörr, J., Endres, S., Libby, P., Dinarello, C. A., & Kobold, S. (2021). Interleukins in cancer: From biology to therapy. Nature Reviews Cancer, 21(8), 481–499. https://doi.org/10.1038/s41568-021-00363-z
- Burmeister, C. A., Khan, S. F., Schäfer, G., Mbatani, N., Adams, T., Moodley, J., & Prince, S. (2022). Cervical cancer therapies: Current challenges and future perspectives. Tumour Virus Research, 13, 200238. https://doi.org/10.1016/j.tvr.2022.200238
- Caruso, G., Wagar, M. K., Hsu, H.-C., Hoegl, J., Rey Valzacchi, G. M., Fernandes, A., Cucinella, G., Sahin Aker, S., Jayraj, A. S., Mauro, J., Pareja, R., & Ramirez, P. T. (2024). Cervical cancer: A new era. International Journal of Gynecological Cancer, 34(12), 1946–1970. https://doi.org/10.1136/ijgc-2024-005579
- Chancellor, D., Barrett, D., Nguyen-Jatkoe, L., Millington, S., & Eckhardt, F. (2023). The state of cell and gene therapy in 2023. Molecular Therapy, 31(12), 3376–3388. https://doi.org/10.1016/j.ymthe.2023.11.001
- Chang, Z. L., Lorenzini, M. H., Chen, X., Tran, U., Bangayan, N. J., & Chen, Y. Y. (2018). Rewiring T-cell responses to soluble factors with chimeric antigen receptors. Nature Chemical Biology, 14(3), 317–324. https://doi.org/10.1038/nchembio.2565
- Chen, A., Xu, Y., Qiu, S., Xu, K., Zhou, L., Li, C., & Chen, W. (2016). LY6K promotes cervical cancer growth, invasion and migration through regulating VEGFA.Int J Clin Exp Pathol 2016;9(11):10981-10991
- Chien, C.-H., Hsueh, W.-T., Chuang, J.-Y., & Chang, K.-Y. (2021). Dissecting the mechanism of temozolomide resistance and its association with the regulatory roles of intracellular reactive oxygen species in glioblastoma. Journal of Biomedical Science, 28(1), 18. https://doi.org/10.1186/s12929-021-00717-7
- Cuiffo, B. G., & Karnoub, A. E. (2012). Mesenchymal stem cells in tumor development: Emerging roles and concepts. Cell Adhesion & Migration, 6(3), 220–230. https://doi.org/10.4161/cam.20875
- Cutmore, L. C., & Marshall, J. F. (2021). Current perspectives on the use of off the shelf CAR-T/NK cells for the treatment of cancer. Cancers, 13(8). https://doi.org/10.3390/cancers13081926
- Czaplicka, A., Lachota, M., Pączek, L., Zagożdżon, R., & Kaleta, B. (2024). Chimeric antigen receptor T cell therapy for pancreatic cancer: A review of current evidence. Cells, 13(1), 101. https://doi.org/10.3390/cells13010101
- Friedrich, M., Sankowski, R., Bunse, L., Kilian, M., Green, E., Ramallo Guevara, C., Pusch, S., Poschet, G., Sanghvi, K., Hahn, M., Bunse, T., Münch, P., Gegner, H. M., Sonner, J. K., von Landenberg, A., Cichon, F., Aslan, K., Trobisch, T., Schirmer, L., … Platten, M. (2021). Tryptophan metabolism drives dynamic immunosuppressive myeloid states in IDH-mutant gliomas. Nature Cancer, 2(7), 723–740. https://doi.org/10.1038/s43018-021-00201-z
- Garrison, B. S., Deng, H., Yucel, G., Frankel, N. W., Guzman-Ayala, M., Gordley, R., Hung, M., Lee, D., Gainer, M., Loving, K., Chien, J., Pan, T., Gorman, W., Leemans, N., Lam, A., Wood, T., Wong, W., Lee, P., Lu, T., & Lee, G. (2021). FLT3 OR CD33 NOT EMCN Logic Gated CAR-NK Cell Therapy (SENTI-202) for Precise Targeting of AML. Blood, 138, 2799. https://doi.org/10.1182/blood-2021-154201
- Guo, M., & Zhao, H. (2024). Growth differentiation factor-15 may be a novel biomarker in pancreatic cancer: A review. Medicine, 103(6), e36594. https://doi.org/10.1097/MD.0000000000036594
- Huang, T., Bei, C., Hu, Z., & Li, Y. (2024). CAR-macrophage: Breaking new ground in cellular immunotherapy. Frontiers in Cell and Developmental Biology,12:1464218. https://doi.org/10.3389/fcell.2024.1464218
- Jin, X., Zhang, N., Yan, T., Wei, J., Hao, L., Sun, C., Zhao, H., & Jiang, S. (2025). Lactate-mediated metabolic reprogramming of tumor-associated macrophages: Implications for tumor progression and therapeutic potential. Frontiers in Immunology, 16. https://doi.org/10.3389/fimmu.2025.1573039
- Jin, Y., Dong, Y., Zhang, J., Sun, J., Liu, Y., & Chen, Y. (2021). The toxicity of cell therapy: Mechanism, manifestations, and challenges. Journal of Applied Toxicology, 41(5), 659–667. https://doi.org/10.1002/jat.4100
- Johnson, A., Townsend, M., & O’Neill, K. (2022). Tumor microenvironment immunosuppression: A roadblock to CAR T-cell advancement in solid tumors. Cells, 11(22). https://doi.org/10.3390/cells11223626
- Johnston, A. C., Alicea, G. M., Lee, C. C., Patel, P. V., Hanna, E. A., Vaz, E., Forjaz, A., Wan, Z., Nair, P. R., Lim, Y., Chen, T., Du, W., Kim, D., Nichakawade, T. D., Rebecca, V. W., Bonifant, C. L., Fan, R., Kiemen, A. L., Wu, P.-H., & Wirtz, D. (2024). Engineering self-propelled tumor-infiltrating CAR T cells using synthetic velocity receptors. bioRxiv. https://doi.org/10.1101/2023.12.13.571595
- Kong, R., Liu, B., Wang, H., Lu, T., & Zhou, X. (2025). CAR-NK cell therapy: Latest updates from the 2024 ASH annual meeting. Journal of Hematology & Oncology, 18(1), 22. https://doi.org/10.1186/s13045-025-01677-3
- Korell, F., Berger, T. R., & Maus, M. V. (2022). Understanding CAR T cell-tumor interactions: Paving the way for successful clinical outcomes. Med, 3(8), 538–564. https://doi.org/10.1016/j.medj.2022.05.001
- Li, X., Fan, W., Yao, A., Song, H., Ge, Y., Yan, M., Shan, Y., Zhang, C., Li, P., & Jia, L. (2020). Downregulation of reelin predicts poor prognosis for glioma. Biomarkers in Medicine, 14(8), 651–663. https://doi.org/10.2217/bmm-2019-0609
- Liu, B., Zhou, H., Tan, L., Siu, K. T. H., & Guan, X.-Y. (2024). Exploring treatment options in cancer: Tumor treatment strategies. Signal Transduction and Targeted Therapy, 9(1), 175. https://doi.org/10.1038/s41392-024-01856-7
- Liu, Y., Zhou, F., Ali, H., Lathia, J. D., & Chen, P. (2024). Immunotherapy for glioblastoma: Current state, challenges, and future perspectives. Cellular & Molecular Immunology, 21(12), 1354–1375. https://doi.org/10.1038/s41423-024-01226-x
- Lomnytska, M. I., Becker, S., Hellman, K., Hellström, A.-C., Souchelnytskyi, S., Mints, M., Hellman, U., Andersson, S., & Auer, G. (2010). Diagnostic protein marker patterns in squamous cervical cancer. PROTEOMICS – Clinical Applications, 4(1), 17–31. https://doi.org/10.1002/prca.200900086
- Lu, L., Xie, M., Yang, B., Zhao, W., & Cao, J. (2024). Enhancing the safety of CAR-T cell therapy: Synthetic genetic switch for spatiotemporal control. Science Advances, 10(8), eadj6251. https://doi.org/10.1126/sciadv.adj6251
- Luo, L., McGarvey, P., Madhavan, S., Kumar, R., Gusev, Y., & Upadhyay, G. (2016). Distinct lymphocyte antigens 6 (Ly6) family members Ly6D, Ly6E, Ly6K and Ly6H drive tumorigenesis and clinical outcome. Oncotarget, 7(10), 11165–11193. https://doi.org/10.18632/oncotarget.7163
- Mayer, S., Gabriel, B., Erbes, T., Timme-Bronsert, S., Jäger, M., Rücker, G., Kuf, F., Bouda, J., Bartakova, A., Hausen, A. Z., Stickeler, E., Gitsch, G., & Hirschfeld, M. (2017). Cyr61 expression pattern and association with clinicopathological factors in patients with cervical cancer. Anticancer Research, 37(5), 2451–2456. https://doi.org/10.21873/anticanres.11585
- Melero, I., de Miguel Luken, M., de Velasco, G., Garralda, E., Martín-Liberal, J., Joerger, M., Alonso, G., Goebeler, M.-E., Schuler, M., König, D., Dummer, R., Reig, M., Rodriguez Ruiz, M.-E., Calvo, E., Esteban-Villarrubia, J., Oberoi, A., Sabat, P., Soto-Castillo, J. J., Koster, K.-L., … Leo, E. (2025). Neutralizing GDF-15 can overcome anti-PD-1 and anti-PD-L1 resistance in solid tumours. Nature, 637(8048), 1218–1227. https://doi.org/10.1038/s41586-024-08305-z
- Miller, M. L., Jensen, L. J., Diella, F., Jørgensen, C., Tinti, M., Li, L., Hsiung, M., Parker, S. A., Bordeaux, J., Sicheritz-Ponten, T., Olhovsky, M., Pasculescu, A., Alexander, J., Knapp, S., Blom, N., Bork, P., Li, S., Cesareni, G., Pawson, T., … Linding, R. (2008). Linear motif atlas for phosphorylation-dependent signaling. Science Signaling, 1(35), ra2–ra2. https://doi.org/10.1126/scisignal.1159433
- Minagawa, K., Al-Obaidi, M., & Di Stasi, A. (2019). Generation of suicide gene-modified chimeric antigen receptor-redirected T-cells for cancer immunotherapy. Methods in Molecular Biology (Clifton, N.J.), 1895, 57–73. https://doi.org/10.1007/978-1-4939-8922-5_5
- Mohseni, R., Mahdavi Sharif, P., Behfar, M., Shojaei, S., Shoae-Hassani, A., Jafari, L., Khosravi, A., Nikfetrat, Z., & Hamidieh, A. A. (2024). Phase I study of safety and efficacy of allogeneic natural killer cell therapy in relapsed/refractory neuroblastomas post autologous hematopoietic stem cell transplantation. Scientific Reports, 14(1), 20971. https://doi.org/10.1038/s41598-024-70958-7
- Montinaro, A., & Walczak, H. (2023). Harnessing TRAIL-induced cell death for cancer therapy: A long walk with thrilling discoveries. Cell Death and Differentiation, 30(2), 237–249. https://doi.org/10.1038/s41418-022-01059-z
- Morva, A., Arroyo, A. B., Andreeva, L., Tapia-Abellán, A., & Luengo-Gil, G. (2025). Unleashing the power of CAR-M therapy in solid tumors: A comprehensive review. Frontiers in Immunology, 16, 1615760. https://doi.org/10.3389/fimmu.2025.1615760
- Natural killer cells for cancer immunotherapy: A new CAR is catching up. (2019). EBioMedicine, 39, 1–2. https://doi.org/10.1016/j.ebiom.2019.01.018
- Nayyar, G., Chu, Y., & Cairo, M. S. (2019). Overcoming resistance to natural killer cell based immunotherapies for solid tumors. Frontiers in Oncology, 9, 51. https://doi.org/10.3389/fonc.2019.00051
- Nguyen, K. G., Vrabel, M. R., Mantooth, S. M., Hopkins, J. J., Wagner, E. S., Gabaldon, T. A., & Zaharoff, D. A. (2020). Localized interleukin-12 for cancer immunotherapy. Frontiers in Immunology, 11, 575597. https://doi.org/10.3389/fimmu.2020.575597
- Okada, H. (2025). Phase 1 Study of Autologous Anti-EGFRvIII synNotch Receptor Induced Anti-EphA2/IL-13R alpha2 CAR (E-SYNC) T Cells in Adult Participants With EGFRvIII+ Glioblastoma (Clinical Trial Registration No. NCT06186401). clinicaltrials.gov. https://clinicaltrials.gov/study/NCT06186401
- Pang, N., Shi, J., Qin, L., Chen, A., Tang, Y., Yang, H., Huang, Y., Wu, Q., Li, X., He, B., Li, T., Liang, B., Zhang, J., Cao, B., Liu, M., Feng, Y., Ye, X., Chen, X., Wang, L., … Zhang, Z. (2021). IL-7 and CCL19-secreting CAR-T cell therapy for tumors with positive glypican-3 or mesothelin. Journal of Hematology & Oncology, 14(1), 118. https://doi.org/10.1186/s13045-021-01128-9
- Park, S., Pascua, E., Lindquist, K. C., Kimberlin, C., Deng, X., Mak, Y. S. L., Melton, Z., Johnson, T. O., Lin, R., Boldajipour, B., Abraham, R. T., Pons, J., Sasu, B. J., Van Blarcom, T. J., & Chaparro-Riggers, J. (2021). Direct control of CAR T cells through small molecule-regulated antibodies. Nature Communications, 12(1), 710. https://doi.org/10.1038/s41467-020-20671-6
- Peralta, R. M., Xie, B., Lontos, K., Nieves-Rosado, H., Spahr, K., Joshi, S., Ford, B. R., Quann, K., Frisch, A. T., Dean, V., Philbin, M., Cillo, A. R., Gingras, S., Poholek, A. C., Kane, L. P., Rivadeneira, D. B., & Delgoffe, G. M. (2024). Dysfunction of exhausted T cells is enforced by MCT11-mediated lactate metabolism. Nature Immunology, 25(12), 2297–2307. https://doi.org/10.1038/s41590-024-01999-3
- Pirsadeghi, A., Namakkoobi, N., Behzadi, M. S., Pourzinolabedin, H., Askari, F., Shahabinejad, E., Ghorbani, S., Asadi, F., Hosseini-Chegeni, A., Yousefi-Ahmadipour, A., & Kamrani, M. H. (2024). Therapeutic approaches of cell therapy based on stem cells and terminally differentiated cells: Potential and effectiveness. Cells & Development, 177, 203904. https://doi.org/10.1016/j.cdev.2024.203904
- Porter, C. M., & Miller, B. G. (2012). Cooperativity in monomeric enzymes with single ligand-binding sites. Bioorganic Chemistry, 43, 44–50. https://doi.org/10.1016/j.bioorg.2011.11.001
- Qin, W., Zhang, J., Rong, R., Zhang, L., Gao, H., Liu, C., Ren, Q., Zheng, G., Wang, J., Meng, L., Qiao, S., Qian, R., Zhou, C., Wang, H., & Zhang, Y. (2022). Osteoglycin (OGN) promotes tumorigenesis of pancreatic cancer cell via targeting ID4. Tissue and Cell, 78, 101867. https://doi.org/10.1016/j.tice.2022.101867
- Robinson, J. L., Feizi, A., Uhlén, M., & Nielsen, J. (2019). A systematic investigation of the malignant functions and diagnostic potential of the cancer secretome. Cell Reports, 26(10), 2622–2635.e5. https://doi.org/10.1016/j.celrep.2019.02.025
- Rodriguez-Cruz, A., Vesin, D., Ramon-Luing, L., Zuñiga, J., Quesniaux, V. F. J., Ryffel, B., Lascurain, R., Garcia, I., & Chávez-Galán, L. (2019). CD3(+) macrophages deliver proinflammatory cytokines by a CD3- and transmembrane TNF-dependent pathway and are increased at the BCG-infection site. Frontiers in Immunology, 10, 2550. https://doi.org/10.3389/fimmu.2019.02550
- Rosenberg, S. (2015). Phase I/II Study of Metastatic Melanoma Using Lymphodepleting Conditioning Followed by Infusion of Tumor Infiltrating Lymphocytes Genetically Engineered to Express IL-12 (Clinical Trial Registration No. NCT01236573). clinicaltrials.gov. https://clinicaltrials.gov/study/NCT01236573
- Ruano, D., López-Martín, J. A., Moreno, L., Lassaletta, Á., Bautista, F., Andión, M., Hernández, C., González-Murillo, Á., Melen, G., Alemany, R., Madero, L., García-Castro, J., & Ramírez, M. (2020). First-in-human, first-in-child trial of autologous MSCs carrying the oncolytic virus Icovir-5 in patients with advanced tumors. Molecular Therapy, 28(4), 1033–1042. https://doi.org/10.1016/j.ymthe.2020.01.019
- Sabouri, M., Dogonchi, A. F., Shafiei, M., & Tehrani, D. S. (2024). Survival rate of patient with glioblastoma: A population-based study. Egyptian Journal of Neurosurgery, 39(1), 42. https://doi.org/10.1186/s41984-024-00294-5
- Savanur, M. A., Weinstein-Marom, H., & Gross, G. (2021). Implementing logic gates for safer immunotherapy of cancer. Frontiers in Immunology, 12, 780399. https://doi.org/10.3389/fimmu.2021.780399
- Shi, Y., Zhang, J., Li, Y., Feng, C., Shao, C., Shi, Y., & Fang, J. (2025). Engineered mesenchymal stem/stromal cells against cancer. Cell Death & Disease, 16(1), 113. https://doi.org/10.1038/s41419-025-07443-0
- Shirzadian, M., Moori, S., Rabbani, R., & Rahbarizadeh, F. (2025). SynNotch CAR-T cell, when synthetic biology and immunology meet again. Frontiers in Immunology, 16. https://doi.org/10.3389/fimmu.2025.1545270
- Singh, S., Dey, D., Barik, D., Mohapatra, I., Kim, S., Sharma, M., Prasad, S., Wang, P., Singh, A., & Singh, G. (2025). Glioblastoma at the crossroads: Current understanding and future therapeutic horizons. Signal Transduction and Targeted Therapy, 10(1), 213. https://doi.org/10.1038/s41392-025-02299-4
- Snajdauf, M., Havlova, K., Vachtenheim, J., Ozaniak, A., Lischke, R., Bartunkova, J., Smrz, D., & Strizova, Z. (2021). The TRAIL in the treatment of human cancer: An update on clinical trials. Frontiers in Molecular Biosciences, 8, 628332. https://doi.org/10.3389/fmolb.2021.628332
- Suck, G., Odendahl, M., Nowakowska, P., Seidl, C., Wels, W. S., Klingemann, H. G., & Tonn, T. (2016). NK-92: An “off-the-shelf therapeutic” for adoptive natural killer cell-based cancer immunotherapy. Cancer Immunology, Immunotherapy: CII, 65(4), 485–493. https://doi.org/10.1007/s00262-015-1761-x
- Sugawara, S., Lee, E., Craemer, M. A., Pruitt, A., Balachandran, H., Gressens, S. B., Kroll, K., Manickam, C., Li, Y., Jost, S., Woolley, G., & Reeves, R. K. (2024). Knockdowns of CD3zeta chain in primary NK cells illustrate modulation of antibody-dependent cellular cytotoxicity against human immunodeficiency virus-1. AIDS Research and Human Retroviruses, 40(11), 631–636. https://doi.org/10.1089/AID.2023.0114
- Tannahill, G. M., Curtis, A. M., Adamik, J., Palsson-McDermott, E. M., McGettrick, A. F., Goel, G., Frezza, C., Bernard, N. J., Kelly, B., Foley, N. H., Zheng, L., Gardet, A., Tong, Z., Jany, S. S., Corr, S. C., Haneklaus, M., Caffrey, B. E., Pierce, K., Walmsley, S., … O’Neill, L. A. J. (2013). Succinate is an inflammatory signal that induces IL-1β through HIF-1α. Nature, 496(7444), 238–242. https://doi.org/10.1038/nature11986
- Tewari, K. S. (2025). Cervical cancer. New England Journal of Medicine, 392(1), 56–71. https://doi.org/10.1056/NEJMra2404457
- Tokatlian, T., Asuelime, G. E., Mock, J.-Y., DiAndreth, B., Sharma, S., Warshaviak, D. T., Daris, M. E., Bolanos, K., Luna, B. L., Naradikian, M. S., Deshmukh, K., Hamburger, A. E., & Kamb, A. (2022). Mesothelin-specific CAR-T cell therapy that incorporates an HLA-gated safety mechanism selectively kills tumor cells. Journal for ImmunoTherapy of Cancer, 10(1). https://doi.org/10.1136/jitc-2021-003826
- Turk, O. M., Woodall, R. C., Gutova, M., Brown, C. E., Rockne, R. C., & Munson, J. M. (2021). Delivery strategies for cell-based therapies in the brain: Overcoming multiple barriers. Drug Delivery and Translational Research, 11(6), 2448–2467. https://doi.org/10.1007/s13346-021-01079-1
- University College London. (2021). Targeted stem cells expressing TRAIL as a therapy for lung cancer (Clinical Trial Registration No. NCT03298763). clinicaltrials.gov. https://clinicaltrials.gov/study/NCT03298763
- Uslu, U., & June, C. H. (2025). Beyond the blood: Expanding CAR T cell therapy to solid tumors. Nature Biotechnology, 43(4), 506–515. https://doi.org/10.1038/s41587-024-02446-2
- Van Gool, S. W., Makalowski, J., Kampers, L. F. C., Van de Vliet, P., Sprenger, T., Schirrmacher, V., & Stücker, W. (2023). Dendritic cell vaccination for glioblastoma multiforme patients: Has a new milestone been reached? Translational Cancer Research, 12(8), 2224–2228. https://doi.org/10.21037/tcr-23-603
- Vultaggio-Poma, V., Sarti, A. C., & Di Virgilio, F. (2020). Extracellular ATP: A feasible target for cancer therapy. Cells, 9(11). https://doi.org/10.3390/cells9112496
- Wang, G., & Wang, W. (2022). Advanced cell therapies for glioblastoma. Frontiers in Immunology, 13, 904133. https://doi.org/10.3389/fimmu.2022.904133
- Wang, M., Huang, K., Wong, M. C. S., Huang, J., Jin, Y., & Zheng, Z.-J. (2024). Global cervical cancer incidence by histological subtype and implications for screening methods. Journal of Epidemiology and Global Health, 14(1), 94–101. https://doi.org/10.1007/s44197-023-00172-7
- Wang, S., Wang, G., Zhang, L., Li, F., Liu, K., Wang, Y., Shi, Y., & Cao, K. (2020). Interleukin-17 promotes nitric oxide-dependent expression of PD-L1 in mesenchymal stem cells. Cell & Bioscience, 10(1), 73. https://doi.org/10.1186/s13578-020-00431-1
- Wang, S., Yang, Y., Ma, P., Zha, Y., Zhang, J., Lei, A., & Li, N. (2022). CAR-macrophage: An extensive immune enhancer to fight cancer. eBioMedicine, 76, 103873. https://doi.org/10.1016/j.ebiom.2022.103873
- Wang, Y., Jiang, H., Luo, H., Sun, Y., Shi, B., Sun, R., & Li, Z. (2019). An IL-4/21 inverted cytokine receptor improving CAR-T cell potency in immunosuppressive solid-tumor microenvironment. Frontiers in Immunology, 10, 1691. https://doi.org/10.3389/fimmu.2019.01691
- Wang, Y., Zhou, H., Ju, S., Dong, X., & Zheng, C. (2025). The solid tumor microenvironment and related targeting strategies: A concise review. Frontiers in Immunology, 16. https://doi.org/10.3389/fimmu.2025.1563858
- Wu, B., Zhang, B., Li, B., Wu, H., & Jiang, M. (2024). Cold and hot tumors: From molecular mechanisms to targeted therapy. Signal Transduction and Targeted Therapy, 9(1), 274. https://doi.org/10.1038/s41392-024-01979-x
- Wu, C.-Y., Roybal, K. T., Puchner, E. M., Onuffer, J., & Lim, W. A. (2015). Remote control of therapeutic T cells through a small molecule–gated chimeric receptor. Science, 350(6258), aab4077. https://doi.org/10.1126/science.aab4077
- Xiao, X., Huang, S., Chen, S., Wang, Y., Sun, Q., Xu, X., & Li, Y. (2021). Mechanisms of cytokine release syndrome and neurotoxicity of CAR T-cell therapy and associated prevention and management strategies. Journal of Experimental & Clinical Cancer Research, 40(1), 367. https://doi.org/10.1186/s13046-021-02148-6
- Xiao, Y., Zhu, T., Chen, Z., & Huang, X. (2025). Lung metastasis and recurrence is mitigated by CAR macrophages, in-situ-generated from mRNA delivered by small extracellular vesicles. Nature Communications, 16(1), 7166. https://doi.org/10.1038/s41467-025-62506-2
- Yang, B., Liu, H., Shi, W., Wang, Z., Sun, S., Zhang, G., Hu, Y., Liu, T., & Jiao, S. (2013). Blocking transforming growth factor-β signaling pathway augments antitumor effect of adoptive NK-92 cell therapy. International Immunopharmacology, 17(2), 198–204. https://doi.org/10.1016/j.intimp.2013.06.003
- Yang, J., Tang, S., Saba, N. F., Shay, C., & Teng, Y. (2025). Tumor secretome shapes the immune landscape during cancer progression. Journal of Experimental & Clinical Cancer Research, 44(1), 47. https://doi.org/10.1186/s13046-025-03302-0
- Yang, Q., Barbachano-Guerrero, A., Fairchild, L. M., Rowland, T. J., Dowell, R. D., Allen, M. A., Warren, C. J., & Sawyer, S. L. (2024). Macrophages derived from human induced pluripotent stem cells (iPSCs) serve as a high-fidelity cellular model for investigating HIV-1, dengue, and influenza viruses. Journal of Virology, 98(3), e0156323. https://doi.org/10.1128/jvi.01563-23
- Yu, L., Lanqing, G., Huang, Z., Xin, X., Minglin, L., Fa-hui, L., Zou, H., & Min, J. (2023). T cell immunotherapy for cervical cancer: Challenges and opportunities. Frontiers in Immunology, 14, 1105265. https://doi.org/10.3389/fimmu.2023.1105265
- Zhang, Q., Wu, L., Zhang, Y., Wang, D., Sima, Y., Wang, Z., Yin, Z., Wu, H., Zhuo, Y., Zhang, Y., Wang, L., Chen, Y., Liu, Y., Qiu, L., & Tan, W. (2024). Aptamer-based nongenetic reprogramming of CARs enables flexible modulation of T cell-mediated tumor immunotherapy. ACS Central Science, 10(4), 813–822. https://doi.org/10.1021/acscentsci.3c01511
- Zhang, X., Edwards, J. P., & Mosser, D. M. (2009). The expression of exogenous genes in macrophages: Obstacles and opportunities. Methods in Molecular Biology (Clifton, N.J.), 531, 123–143. https://doi.org/10.1007/978-1-59745-396-7_9
- Zheng, R., Liu, X., Zhang, Y., Liu, Y., Wang, Y., Guo, S., Jin, X., Zhang, J., Guan, Y., & Liu, Y. (2024). Frontiers and future of immunotherapy for pancreatic cancer: From molecular mechanisms to clinical application. Frontiers in Immunology, 15, 1383978. https://doi.org/10.3389/fimmu.2024.1383978
- Zhu, X., Olson, B., Keith, D., Norgard, M. A., Levasseur, P. R., Diba, P., Protzek, S., Li, J., Li, X., Korzun, T., Sattler, A. L., Buenafe, A. C., Grossberg, A. J., & Marks, D. L. (2024). GDF15 and LCN2 for early detection and prognosis of pancreatic cancer. Translational Oncology, 50, 102129. https://doi.org/10.1016/j.tranon.2024.102129
- Zugasti, I., Espinosa-Aroca, Lady, Fidyt, K., Mulens-Arias, V., Diaz-Beya, M., Juan, M., Urbano-Ispizua, Á., Esteve, J., Velasco-Hernandez, T., & Menéndez, P. (2025). CAR-T cell therapy for current challenges and future directions. Signal Transduction and Targeted Therapy, 10(1), 210. https://doi.org/10.1038/s41392-025-02269-w