Dual-Receptor-Targeted (DRT) Radiation Nanomedicine Labeled with <sup>177</sup>Lu Is More Potent for Killing Human Breast Cancer Cells That Coexpress HER2 and EGFR Than Single-Receptor-Targeted (SRT) Radiation Nanomedicines
Bibliographic record
Abstract
Resistance to HER2-targeted therapies in breast cancer (BC) is associated in some cases with an increased expression of epidermal growth factor receptors (EGFR). We describe a dual-receptor-targeted (DRT) radiation nanomedicine for local intratumoral (i.t.) treatment of BC composed of 15 nm sized gold nanoparticles (AuNPs) modified with trastuzumab (TmAb) to target HER2 and panitumumab (PmAb) to target EGFR. The AuNPs were modified with poly(ethylene glycol) (PEG3k) linked to 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid (DOTA) chelators to complex the β-particle emitter, 177Lu. Our aim was to compare the properties of these DRT-AuNP-177Lu with single-receptor-targeted (SRT)-TmAb-AuNP-177Lu or PmAb-AuNP-177Lu or nontargeted (NT)-AuNP-177Lu using human BC cells that expressed HER2, EGFR, or both receptors. To construct these radiation nanomedicines, PEG5K was linked to TmAb or PmAb, while PEG3k was linked to DOTA. These polymers were conjugated to AuNP via two Au–thiol bonds using a terminal lipoic acid (LA) group on the polymers. NT-AuNP-177Lu were constructed without modification with TmAb or PmAb. MDA-MB-231-H2N, MDA-MB-468, and BT-474 human BC cells were designated as HER2mod/EGFRmod, EGFRhigh/HER2neg, and HER2high/EGFRlow, respectively, based on the expression of these receptors. Specific binding to HER2 and/or EGFR was assessed by incubating BC cells with DRT-AuNP-177Lu or TmAb-AuNP-177Lu or PmAb-AuNP-177Lu, or NT-AuNP-177Lu in the absence or presence of an excess of TmAb or PmAb or both competitors. Binding and internalization of AuNP by BC cells were assessed by dark-field microscopy. Cell fractionation studies were conducted to quantify AuNP-177Lu bound and internalized. The cytotoxicity of DRT-AuNP-177Lu was determined in clonogenic survival (CS) assays after an exposure of 5 × 105 BC cells to 3 MBq (1.4 × 1012 AuNP) for 16 h and then seeding and culturing the cells for 7−15 days. CS was compared to exposure to TmAb-AuNP-177Lu and PmAb-AuNP-177Lu or NT-AuNP-177Lu. The absorbed doses to the nucleus in these CS assays were estimated. DRT-AuNP-177Lu were specifically bound by BC cells that expressed HER2 or EGFR or both receptors. In contrast, SRT-TmAb-AuNP-177Lu and PmAb-AuNP-177Lu were bound and internalized only by BC cells that expressed HER2 or EGFR, respectively. NT-AuNP-177Lu exhibited very low binding to BC cells. DRT-AuNP-177Lu and SRT-TmAb-AuNP-177Lu or PmAb-AuNP-177Lu were internalized by BC cells in accordance with the receptor expression. Importantly, DRT-AuNP-177Lu were more potent in vitro than PmAb-AuNP-177Lu for killing MDA-MB-231-H2N cells that coexpress HER2 and EGFR (CS = 18.8 ± 1.0 vs 51.5 ± 10.4%; P = 0.006). Furthermore, DRT-AuNP-177Lu were more potent for killing BT-474 cells with high HER2 but low EGFR expression than TmAb-AuNP-177Lu (CS = 8.9 ± 3.3 vs 20.7 ± 2.4%; P = 0.007) or PmAb-AuNP-177Lu (CS = 63.9 ± 1.7%; P < 0.0001). Even for MDA-MB-468 cells that overexpress EGFR but have negligible HER2, DRT-AuNP-177Lu were more potent for cell killing than PmAb-AuNP-177Lu (CS = 3.2 ± 3.0 vs 7.5 ± 1.8%; P = 0.001) or TmAb-AuNP-177Lu (63.2 ± 3.2%; P = 0.0002). All targeted forms of AuNP-177Lu were more cytotoxic to BC cells than those of NT-AuNP-177Lu. High absorbed doses (36–119 Gy) were deposited in the nucleus of BC cells by DRT-AuNP-177Lu. We conclude that a DRT radiation nanomedicine is more potent for killing BC cells that coexpress HER2 and EGFR than SRT radiation nanomedicines. These results are promising for further evaluation of these DRT-AuNP-177Lu in vivo for the local radiation treatment of human BC tumors that coexpress HER2 and EGFR in mice following i.t. injection, especially tumors that are resistant to HER2-targeted therapies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".