Decreased binding sites of angiotensin II in rat LY-80 and AH109A tumour and human gastric cancer using quantitative in vitro autoradiography.
Bibliographic record
Abstract
BACKGROUND: Under systemic hypertension induced by angiotensin II (AII) infusion, an attenuated vasoconstrictive response to the infusion in tumours was observed and a marked increase in tumour blood flow was observed in comparison with that in normal tissues. The results show a parallel circuit that connects the vascular bed of the pre-existing tissue to that of the tumour. The phenomenon was absent when hypertension was provoked by other vasoconstrictive agents such as norepinephrine or endothelin-1. However, the biological basis for this attenuated vasoconstrictive response to angiotensin II observed in tumours has not been fully elucidated. METHODS: We assessed this response to characterise the angiotensin II receptor density and affinity in normal and tumour tissues. AH109A and LY80 tumour cell lines were transplanted to the skin in nude rats. Four weeks later, the rats were sacrificed. 125I-[Sar1, Ile8] angiotensin II was used to map its receptors in rat tissues using in vitro computerised autoradiography. Operated human gastric cancer tissues from a 49-year-old and a 66-year-old male patients were also investigated. RESULTS: The numbers of angiotensin II receptors were markedly reduced in tumour tissues without a change of affinity. The numbers in AII-R in tumours were shown to be mainly AT1 by the marked reduction in radioligand binding achieved by losartan but not by PD123177. The same results were observed in human gastric cancer. CONCLUSIONS: These results suggest that the decrease in angiotensin II receptors in tumours may explain the haemodynamic effect of angiotensin II-induced hypertension on tumour blood flow. This condition for drug delivery to tumour tissue may play a major role in enhancing the therapeutic effects of chemotherapy.
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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 | 0.001 | 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) | 0.003 | 0.001 |
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.
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".