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IRL-1620 Increases the Efficacy of Radiation Treatment in Mice Bearing Lymphoma Cell Induced Tumors.

2006· article· en· W2530085416 on OpenAlexaboutno aff
Luigi Lenaz, Anil Gulati, E.S. Sunila

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRadiation therapyLymphomaNuclear medicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract PURPOSE. IRL-1620, a selective ETB receptor agonist, has been reported to selectively enhance tumor blood flow and potentiate the efficacy of chemotherapeutics in various tumor models. Improved tumor perfusion is associated with a net increase in tumor oxygenation, which may be exploited to increase the effectiveness of radiotherapy. Since tumor oxygenation increases the radiation-induced cellular damage, IRL-1620 may be helpful to increase radiation sensitivity of tumor. The present study was conducted to determine whether administration of IRL-1620 prior to radiation enhances the efficacy of radiotherapy. STUDY DESIGN. Male Swiss albino mice (6–8 weeks old; 25–30 g) were used for the study. Tumor was induced by the subcutaneous inoculation of Dalton’s Lymphoma cells (1 million) on the right hind limb. Tumor volume was measured using a digital caliper. Animals with a tumor volume of about 1cc were selected for the study and were divided into six groups (10 mice per group). Group I: No treatment; Group II: IRL-1620 (9 nmol/kg, 5 doses on alternate days); Group III: Radiation (5 × 4 Gy using Cobalt-60 Teletherapy unit (Theratron 780, Canada) on alternate days administered at 1 Gy/min); Group VI: IRL-1620 (1 nmol/kg) + radiation, 5 doses on alternate days; Group V: IRL-1620 (3 nmol/kg) + radiation, 5 doses on alternate days; Group VI: IRL-1620 (9 nmol/kg) + radiation, 5 doses on alternate days. Mice were shielded with lead except for a 3-cm-diameter circular field where the tumor was centered. IRL-1620 was administered via tail vein 15 minutes prior to radiation administration. Tumor diameter was measured twice a week for a total of 70 days. RESULTS. Tumor bearing mice without any treatment showed a progressive increase in tumor volume and all the animals died by 53 days after tumor induction. Radiation alone did not significantly reduce tumor volume when compared to controls (possible due to hypoxic condition). There was no significant increase in the survival. All the animals (10 out of 10) died by 56 days after tumor induction. Animals treated with radiation 15 min after administration of 9 nmol/kg IRL-1620 reduced the tumor volume significantly and there was significant increase in life span. It was found that only 4 out 10 animals died by 70 days after tumor induction. Animals treated with radiation 15 min after administration of 3 nmol/kg IRL-1620 delayed the development of tumors. It was found that 7 out 10 animals died by 70 days after tumor induction. Animals treated with radiation 15 min after administration of 1 nmol/kg IRL-1620 along with radiation delayed tumor development. It was found that 9 out 10 animals died by 70 days after tumor induction. CONCLUSION. It is concluded that IRL-1620 significantly enhanced the efficacy of radiation treatment in Dalton’s Lymphoma cells induced tumor model by reducing tumor volumes and increasing the survival.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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".

Quick stats

Citations1
Published2006
Admission routes1
Has abstractyes

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