Reframing RB Tumor Suppressor Dysfunction as a Therapeutic Vulnerability in Cancer
Simple Summary
Abstract
1. Introduction
2. RB Protein
2.1. The RB Family Proteins: Composition and Functional Roles in Cell-Cycle Regulation
2.2. Heterogeneity of RB
3. Targeting Cell-Cycle Dysregulation
3.1. Questioning RB’s Reliability as a Therapeutic Marker
3.2. RB-Independent CDK4/6i Efficacy
4. RB Biology and Its Multifaceted Role in Cancer
4.1. Role of RB in Apoptosis
4.2. RB in Stemness and Differentiation
4.3. RB and Maintaining Genomic Stability
5. Therapeutic Implications of RB Status
5.1. Impact of RB Status on Chemotherapy Response and Maintaining Genomic Stabiltiy
| Groups | Eligibility | Results | Ref. |
|---|---|---|---|
| A. Chemotherapy Response in Sarcomas | |||
| Treatment groups: DOX v DOX + palifosfamide | Patients with untreated metastatic STS (NCT01168791) | No significant difference between groups. Median PFS was 5.2 and 6 months for DOX alone and combination therapy, respectively | [56] |
| Treatment groups: DOX v gemcitabine + docetaxel | Previously untreated advanced or metastatic STS (ISRCTN07742377) | Median PFS was 23.3 and 23.7 weeks for DOX and combination, respectively. | [57] |
| Treatment groups: DOX v DOX + ifosfamide | Patients with advanced or metastatic STS (NCT00061984) | No difference in overall survival in groups using DOX alone (12.8 months) or its combination (14.3 months). | [58] |
| B. Identification of Biomarkers of Chemotherapy Sensitivity | |||
| Identify biomarkers in sarcoma patients treated with radiation + DOX + ifosfamide | Patients with aggressive STS treated with chemoradiotherapy (NCT03651375) | High expression of HIF-1 correlated with poor response while high H2AX correlated with favorable response to therapy. | [63] |
| Identify biomarkers that predict response to chemotherapy | 64 head and neck cancer patients (ages 31–79) treated with cisplatin + 5-FU and radiation | High mRNA expression of TP53, BCL-2, VEGF, ERCC1, XPA, MDR1 was associated with chemotherapy sensitivity (RB p-value = 0.13). | [64] |
| Determine is RB loss increases sensitivity to antimetabolites | 518 patients (ages 25–89) who had breast cancer surgical resection | Loss of RB was the only predictive factor of improved response to cyclophosphamide, methotrexate, and 5-FU chemotherapy | [69] |
| Identify tumors that respond/fail to respond to various therapies | Patients with bone or solid tumors (NCT00580385) | Determine resistance mechanisms after methotrexate. Also test sensitivity in vitro to therapy and correlate it with molecular studies. | [70] |
| C. Targeted Therapy Response and Biomarkers in various cancers | |||
| Treatment groups: palbociclib + letrozole vs letrozole | ER+/HER2- patients from the PALOMA-2 trial (NCT01740427) | Found that expression levels of genes in the RB/Cyclin/CDK pathway didn’t correlate with therapeutic efficacy. | [71] |
| RB positive or CDK4/6 altered tumors treated with palbociclib | Breast cancer and solid tumor patients from (NCT01037790) | Biomarker study found that neither RB, Ki-67, and p16 were significantly associated with benefit in all groups. | [72] |
| Sarcomas treated with palbociclib targeted therapy | Sarcomas with high CDK4 and low/normal p16 expression (mRNA) (NCT01740427) | Biomarkers from 22 patients found that CDK4 expression above the median had 6-month PFS compared to only 2-months in those with low CDK4 expression. | [73] |
| Therapeutic vulnerability to PARPi, olaparib | Osteosarcoma cell lines and xenografts in NRG mice are treated with PARPi. | RB loss causes hypersensitivity to PARPi in osteosarcoma cell lines and mice grafts. | [74] |
| RB loss and CHK1, PLK1, and aurora kinase inhibitors | CRISPR screens in TNBC cell lines with RB alterations | Knudsen et al. have shown that RB loss can be exploited to make cells highly sensitive to drugs that inhibit CDC25, CHK1, or PLK1. | [75] |
5.2. Impact of RB Status on Targeted Therapies
6. Conclusions and Future Directions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| RB | Retinoblastoma |
| CDK | Cyclin dependent kinase |
| CDK4/6i | Cyclin dependent kinase 4/6 inhibitors |
| PARPi | Poly (ADP-ribose) polymerase inhibitors |
| CIN | Chromosomal instability |
| BETi | Bromodomain and extraterminal domain inhibitors |
| DOX | Doxorubicin |
| STS | Soft tissue sarcoma |
| PFS | Progression free survival |
| TNBC | Triple negative breast cancer |
| DREAM | Dimerization partner, RB-like, E2F, and the multi-vulval class B |
| HDACs | Histone deacetylases |
| CHR | Cell-cycle gene homology regions |
| ESC | Embryonic stem cell |
| CSC | Cancer stem cells |
| EMT | Epithelial-mesenchymal transition |
| DSB | Double-strand breaks |
| NHEJ | Non-homologous end joining |
| HR | Homologous recombination |
| ER | Estrogen receptor |
| 5-FU | 5-Fluorouracil |
| CRISPR | Clustered regularly interspaced short palindromic repeats |
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Malko, R.; Shannon, H.E.; Dobrota, E.A.; Kreklau, K.E.; Stevens, L.K.; Jackson, K.W.; Saadatzadeh, M.R.; Pandya, P.H.; Pollok, K.E. Reframing RB Tumor Suppressor Dysfunction as a Therapeutic Vulnerability in Cancer. Cancers 2026, 18, 1175. https://doi.org/10.3390/cancers18071175
Malko R, Shannon HE, Dobrota EA, Kreklau KE, Stevens LK, Jackson KW, Saadatzadeh MR, Pandya PH, Pollok KE. Reframing RB Tumor Suppressor Dysfunction as a Therapeutic Vulnerability in Cancer. Cancers. 2026; 18(7):1175. https://doi.org/10.3390/cancers18071175
Chicago/Turabian StyleMalko, Rada, Harlan E. Shannon, Erika A. Dobrota, Keiko E. Kreklau, Lauren K. Stevens, Kyle W. Jackson, M. Reza Saadatzadeh, Pankita H. Pandya, and Karen E. Pollok. 2026. "Reframing RB Tumor Suppressor Dysfunction as a Therapeutic Vulnerability in Cancer" Cancers 18, no. 7: 1175. https://doi.org/10.3390/cancers18071175
APA StyleMalko, R., Shannon, H. E., Dobrota, E. A., Kreklau, K. E., Stevens, L. K., Jackson, K. W., Saadatzadeh, M. R., Pandya, P. H., & Pollok, K. E. (2026). Reframing RB Tumor Suppressor Dysfunction as a Therapeutic Vulnerability in Cancer. Cancers, 18(7), 1175. https://doi.org/10.3390/cancers18071175

