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Abstract PR06: Formation of lymph node metastases is not angiogenesis dependent

2015· article· en· W2346218376 on OpenAlexaff
Dennis Jones, Han‐Sin Jeong, Shan Liao, Timothy P. Padera

Bibliographic record

VenueMolecular Cancer Therapeutics · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLymph nodeLymphMedicineAngiogenesisLymphatic systemSprouting angiogenesisPathologyCancerOncologyCancer researchInternal medicineNeovascularization

Abstract

fetched live from OpenAlex

Abstract Background: To date, antiangiogenic therapy has failed to improve overall survival in cancer patients when used in the adjuvant setting. The presence of lymph node metastases dictate treatment decisions, however their reliance on angiogenesis for growth has not been described. Furthermore, recent data show that radiation and chemotherapy can treat limited lymph node disease in breast cancer patients with equal efficacy to complete lymph node dissection. This has led to a reduction in the use of complete lymph node dissection as the primary treatment option in these patients. Thus, greater numbers of patients will have cancer in lymph nodes after surgery that requires adjuvant therapy. Methods: Here, we developed a novel chronic lymph node window (CLNW) model to longitudinally image the growth and spread of lymph node metastases using intravital optical microscopy techniques. We use the CLNW in multiple models of spontaneous lymphatic metastases in mice to study the vasculature of metastatic lymph nodes. We further test our results in murine and patient samples using molecular and biochemical methods. Finally, we test the ability of antiangiogenic therapy to inhibit metastatic growth in the CLNW. Results: We reveal the surprising lack of sprouting angiogenesis during metastatic growth in lymph nodes using both intravital microscopy and ex vivo methods. Vascular endothelial growth factor was not produced by the metastatic lesion despite the presence of hypoxia in some lesions. Treatment with two different antiangiogenic therapies showed no effect on the growth or vascular density of lymph node metastases in our models. We confirmed these findings in clinical specimens, including the lack of reduction in blood vessel density in lymph node metastases in patients treated with bevacizumab. Conclusion: We provide pre-clinical and clinical evidence that sprouting angiogenesis does not occur during the growth of lymph node metastases, which reveals a mechanism of treatment resistance to antiangiogenic therapy in adjuvant settings. The targets of clinically approved angiogenesis inhibitors are not active during early cancer progression in the lymph node, suggesting that inhibitors of sprouting angiogenesis as a class will not be effective in treating lymph node metastases. Based on longitudinal intravital imaging, it appears that metastatic cancer cells in the lymph node invade the lymph node parenchyma where the native blood vessels reside in order to secure a supply of oxygen and nutrients for the survival and growth of the metastatic lesion. Citation Format: Dennis Jones, Han-sin Jeong, Shan Liao, Timothy P. Padera. Formation of lymph node metastases is not angiogenesis dependent. [abstract]. In: Proceedings of the AACR Special Conference: Tumor Angiogenesis and Vascular Normalization: Bench to Bedside to Biomarkers; Mar 5-8, 2015; Orlando, FL. Philadelphia (PA): AACR; Mol Cancer Ther 2015;14(12 Suppl):Abstract nr PR06.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.041
GPT teacher head0.298
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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