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. 2026 Jul 15;17:1881594. doi: 10.3389/fimmu.2026.1881594

Commentary: Post-translational modifications in retinoblastoma: mechanisms, immune regulation, and therapeutic opportunities

Lidetian Hu 1,†, Haixing Cao 1,†, Yujie Zhang 1,†, Xiang Ma 1,*
PMCID: PMC13415367  PMID: 42528866

1. Introduction

Xu and colleagues provide a timely and wide-ranging review of post-translational modifications (PTMs) in retinoblastoma, linking RB-centered signaling, chromatin regulation, metabolic adaptation, therapeutic resistance, and emerging immunotherapeutic opportunities (1). This synthesis is valuable because retinoblastoma research increasingly requires mechanism-based strategies that preserve not only life, but also the globe and vision. The key challenge, however, is not whether PTMs are biologically relevant in retinoblastoma, but whether PTM-associated observations can be prioritized into clinically testable dependencies. Several conceptual and methodological boundaries therefore require sharper definition before PTM biology can be interpreted as a translational roadmap.

2. Target specificity and evidence hierarchy

A major issue is that heterogeneous evidence streams are often integrated into a common therapeutic narrative. Human tumor observations, orthotopic models, conventional xenografts, established cell lines, and mechanistic studies from non-retinoblastoma systems do not provide equivalent support for clinical prioritization. For example, in Xu et al. usefully summarizes numerous compounds reported to modulate PTM-related pathways in retinoblastoma; however, many entries are supported primarily by established cell-line systems such as Y79 or WERI-Rb1, with limited orthogonal validation in human tumor or patient-derived models. A PTM axis inferred from a non-retinal cancer model, a phosphorylation change in standard cell lines, and a dependency reproduced in patient-derived or orthotopic retinoblastoma systems should carry different inferential weight. Preclinical oncology has repeatedly shown that insufficiently validated experimental findings can impede rather than accelerate clinical translation (2). Without such evidence, PTM observations from non-retinal models or standard cell lines should be explicitly labeled as hypothesis-generating rather than validated retinoblastoma dependencies.

A related concern is the definition of “PTM-directed therapy.” Not every compound that changes phosphorylation, acetylation, ubiquitination, glycosylation, or metabolic readouts should be classified as a PTM-targeting intervention. Some agents directly modulate PTM writers, erasers, readers, or substrate-specific modification events. Others alter PTM markers indirectly through oxidative stress, apoptosis, mitochondrial dysfunction, growth-factor signaling, or nonspecific pathway inhibition. For instance, HDAC inhibitors more directly engage acetylation machinery, whereas 2-deoxy-D-glucose may alter glycosylation-related or metabolic stress readouts without necessarily constituting a substrate-specific PTM intervention. This distinction is not semantic. A secondary decrease in phosphorylated AKT or ERK does not establish a PTM-specific therapeutic mechanism. Future reviews should separate direct PTM-enzyme targeting, substrate-selective PTM modulation, PTM-associated pathway inhibition, and nonspecific cytotoxic effects. Most PTM enzymes modify multiple substrates, making therapeutic-index optimization particularly challenging in a pediatric intraocular tumor. Broader PTM drug-discovery literature similarly emphasizes that feasibility depends not only on biochemical modulation, but also on target selectivity, substrate context, delivery, and safety (3).

3. Clinical translation, ocular safety, and biomarker validation

This issue is particularly important in retinoblastoma. Unlike many systemic cancers, retinoblastoma therapy must be judged through the combined endpoints of survival, globe salvage, visual preservation, ocular toxicity, developmental safety, and feasibility of local drug delivery. A PTM regulator may be chemically tractable yet clinically implausible if tumor-selective dependence, intraocular pharmacokinetics, retinal safety, or compatibility with existing treatment routes is not established.

Targeted protein degraders, including PROTACs, molecular glues, and related ubiquitin-proteasome–directed platforms, represent a further extension of ubiquitination-centered PTM intervention. In retinoblastoma, however, their translational relevance should be assessed through an ocular-delivery and safety framework. PROTACs and some degrader platforms may face challenges related to molecular size, permeability, formulation, and tissue exposure, whereas molecular glues may be more drug-like but still require confirmation of adequate intraocular exposure, tumor engagement, and retinal safety (4–6). This issue is particularly relevant because posterior-segment drug delivery is constrained by anatomical and physiological ocular barriers, including the blood-retinal barrier (6). Because ubiquitin-proteasome pathways also regulate normal retinal, neuronal, and developing tissues, degrader-based PTM strategies should be prioritized only when tumor-selective dependency, ocular pharmacokinetic feasibility, compatibility with local delivery routes, and acceptable toxicity profiles have been demonstrated.

Contemporary retinoblastoma treatment reviews emphasize that current therapeutic progress is closely linked to eye-directed approaches such as ophthalmic artery chemotherapy and intravitreal chemotherapy, whereas novel drugs, oncolytic viruses, and immunotherapy remain emerging rather than established components of routine care (7). Moreover, a recent systematic review of intravitreal chemotherapy identified retinal toxicity, cataract, and vitreous hemorrhage among the most common ocular complications, reinforcing the need to evaluate local safety alongside antitumor activity (8). A minimal translational score should assign credit for human tumor PTM validation, genetic or pharmacologic rescue in retinoblastoma-relevant models, ocular pharmacokinetic feasibility, and retinoblastoma-specific immune or biomarker endpoints.

The PTM–immunotherapy interface requires a similarly retinoblastoma-specific validation pathway. Evidence from RB1 biology, immune checkpoint regulation, or PTM-mediated immune modulation in other malignancies can generate important hypotheses, but it cannot by itself establish immune targetability in pediatric intraocular retinoblastoma. Antigen density, intratumoral heterogeneity, immune-cell infiltration, prior chemotherapy exposure, differentiation status, and metastatic context may substantially modify therapeutic relevance. Recent retinoblastoma data suggest that B7-H3 and GD2 are promising immunotherapeutic targets, while also underscoring variability in antigen expression across tumor samples (9). PTM–immunotherapy combinations should therefore be evaluated using measurable retinoblastoma-specific endpoints, including antigen density, immune recruitment, ocular inflammatory toxicity, antigen loss, and resistance evolution.

Biomarker strategy is the practical bridge between mechanistic hypotheses and patient-level translation. Direct tumor biopsy is generally avoided in intraocular retinoblastoma, making aqueous humor liquid biopsy particularly relevant for molecular monitoring. Prospective work has shown that aqueous humor can support diagnostic, prognostic, and therapeutic biomarker development in retinoblastoma (10). Notably, Xu et al. themselves acknowledge that some PTM classes, such as SUMOylation in retinoblastoma, remain essentially unreported, and that lactylation warrants further investigation. This reinforces rather than weakens the need for a graded translational framework. Integrating PTM-related biomarkers with aqueous humor analyses, antigen profiling, and longitudinal treatment response may provide a more realistic translational route than relying on static tissue, cell-line, or cross-cancer evidence alone.

4. Conclusion

The broader lesson from this review is that translational oncology frameworks should separate discovered biology, validated dependency, biomarker-ready mechanism, and clinically plausible intervention. This distinction is especially important in retinoblastoma, where experimental enthusiasm must be balanced against the pediatric, intraocular, and vision-preserving context of care. Incorporating evidence hierarchy, a stricter definition of PTM-directed therapy, retinoblastoma-specific immune validation, ocular safety assessment, and longitudinal biomarker strategies would strengthen the field. These refinements would not diminish the value of PTM research; rather, they would help convert a compelling molecular catalog into a prioritized, testable, and clinically disciplined translational agenda. The next step for the field is not a longer PTM catalog, but a ranked translational map linking mechanism, biomarker, delivery route, and clinically meaningful endpoints.

Acknowledgments

The authors acknowledge Xu and colleagues for their valuable review on post-translational modifications in retinoblastoma, which provided an important basis for further scholarly discussion on evidence hierarchy, target specificity, and translational interpretation in this field.

Funding Statement

The author(s) declared that financial support was received for this work and/or its publication. This research was funded by financial support from the National Natural Science Foundation of China, awarded to Xiang Ma, under grant number 81271022.

Footnotes

Edited by: Xiangpeng Dai, Jilin University, China

Reviewed by: Guoqian He, Sichuan University, China

Author contributions

LH: Conceptualization, Writing – original draft, Writing – review & editing. HC: Writing – original draft, Writing – review & editing, Conceptualization. YZ: Writing – original draft, Investigation, Writing – review & editing. XM: Supervision, Conceptualization, Project administration, Writing – review & editing.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was used in the creation of this manuscript. Generative artificial intelligence was not used to create the original scientific content of this manuscript, formulate the scientific arguments, conduct independent literature screening, generate research data, perform statistical analyses, draw conclusions, or make authorship-level scientific decisions. During manuscript preparation, ChatGPT 5.5 Thinking, developed by OpenAI, was used only to assist with language polishing, grammar correction, editorial refinement, and wording optimization. All AI-assisted text was critically reviewed, verified, and revised by the authors, who take full responsibility for the accuracy, integrity, and final content of the manuscript.

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