Abstract #3129: Vascular endothelial growth factor receptor 1 expressing tumor side-population cells are involved in the formation of \#8220;tumor initiating niche\#8221; in vivo
Bibliographic record
Abstract
Recently, we isolated a small fraction of migratory and hypoxia resistant side-population cells [SPm(hox)] from several solid tumors and demonstrated their in vivo localization in the hypoxic niche (1). These SPm (hox) cells are highly tumorigenic and express embryonic stem cell signature genes Oct 4 and Nanog, whereas non-migratory SP cells and non-SP cells are poorly tumorigenic and do not express Oct4/Nanog (1). The SPm (hox) fraction expressed a higher level of VEGFR1 (VEGF receptor, Flt1) compared to the non-SP fraction (2). Treatment with neutralizing anti-VEGF antibody rapidly converted SP to non-SP cells in vitro (3). Therefore, we hypothesized that VEGFR1 expressing SPm(hox) cells may initiate the formation of a \#8220;tumor initiation niche\#8221; in vivo. The \#8220;niche\#8221; may secrete a high level of VEGF to maintain the \#8220;stemness\#8221; state of the SPm(hox) cells. To investigate this possibility, SPm(hox) cells were isolated from SK-N-BE2 (neuroblastoma) and RH-4 (rhabdomyosarcoma) cell lines as described (1), mixed with matrigel and injected subcutaneously into Balb/c nude mice (50000 cells/plug; 8 mice). Ten days after the injection, matrigel plugs were studied for the microenvironmental changes including stromal cell infiltration, vessel cooption, angiogenesis, secretion of growth factors, and hypoxia/oxidative stress microenvironment as described (4). The SPm (hox) plug showed rapid proliferation of tumor cells, vessel cooption and marked infiltration of stromal cells within ten days of injection as compared to non-migratory SP cells (P Citation Information: In: Proc Am Assoc Cancer Res; 2009 Apr 18-22; Denver, CO. Philadelphia (PA): AACR; 2009. Abstract nr 3129.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".