Abstract 2988: Microenvironmental distribution of trastuzumab is heterogeneous and decreases sharply when administered following a single dose of bevacizumab in Her2+ve xenografts and metastases models
Bibliographic record
Abstract
Abstract We have previously shown that trastuzumab distributes heterogeneously within MDA-435-Her2 xenografts. Though peak accumulation occurs 24h after administration & trastuzumab was detected greater than 150 µm from many vessels, there remained substantial Her2+ve areas that were negative for bound drug. Methods: Her2+ve human carcinoma xenografts were grown in NOD/SCID mice as solid tumors or as metastatic models following ip or iv injection. Tumors were MR-imaged (T1-weighted) with a 500kDa Gd-labeled hyperbranched polyglycerol (HPG) contrast agent (CA). Treatments included bevacizumab (BvMAb, 10 mg/kg), trastuzumab (TsMab, 10 mg/kg) and human IgG (10 mg/kg). Multiplexed staining and imaging of whole tumor sections was used to evaluate the distribution of TsMAb in the context of the tumor microenvironment. Findings: BT474, MDA361 and SKOV3 primary tumor xenografts all show highly heterogeneous distribution of TsMAb at 24h, where some areas are highly saturated with TsMAb and others contain unbound Her2+ tissue. Small metastases in the peritoneal cavity and lung also exhibit substantial proportions of tissue that are negative for TsMAb. CD31-stained vessels dual-labeled for a perfusion marker are often seen to have little or no bound TsMAb on perivascular tumor cells. Pretreatment with BvMAb for 24-72h results in significant reductions in tumor accumulation of TsMAb, with tumors showing 60-90% of bound TsMAb relative to IgG-treated controls (p<0.05). BvMAb -treated xenografts had reduced fractions of perfused vessels and reduced measures of vascular function assessed using DCE-MRI (49% reduction in CA, p<0.05). Corresponding parameter maps of MR-imaged high vascular function and histological images of bound TsMAb do not consistently correlate. Detailed maps of the tumor microenvironment show that even with VEGF blockade, the distribution of TsMAb still does not correspond to vessels that are perfused. Significant numbers of perfused vessels persist with no perivascular bound TsMAb despite the presence of Her2+ cells; saturation with bound TsMAb is also not consistently correlated with the presence or absence of smooth muscle, collagen or ZO-1 stained tight junctions, examined using immunohistochemistry. Summary: The extravascular distribution of TsMAb in Her2-overexpressing xenografts, including micrometastases, is heterogeneous and is not explained simply by the presence or absence of vascular function. Pre-treatment with BvMAb for even short exposures of 24-72h worsens the distribution of TsMAb within the tumor microenvironment. The persistence of tissues that are unbound for trastuzumab suggests the possibility of inadequate drug exposure as a mechanism for drug resistance that may be exacerbated by pre-treatment with a VEGF blockade. Citation Format: Jennifer H. E. Baker, Alastair H. Kyle, Stefan A. Reinsberg, Firas Moosvi, Jordan Cran, Urs Hafeli, Katayoun Saatchi, Andrew I. Minchinton. Microenvironmental distribution of trastuzumab is heterogeneous and decreases sharply when administered following a single dose of bevacizumab in Her2+ve xenografts and metastases models. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2988. doi:10.1158/1538-7445.AM2014-2988
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".