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Record W3206895537

The effects of exercise training on antitumor efficacy of doxorubicin in MDA-MB-231 breast cancer xenografts

2005· article· en· W3206895537 on OpenAlexaff
Lee W. Jones, Neil D. Eves, Kerry S. Courneya, Brian Chiu, Vickie E. Baracos, John Hanson, John R. Mackey

Bibliographic record

VenueCancer Research · 2005
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineChemotherapyBreast cancerCancerDoxorubicinInternal medicineUrologyOncologySurgery
DOInot available

Abstract

fetched live from OpenAlex

1092 In recent years a growing number of reports have examined the role of exercise as a supportive intervention for cancer patients during adjuvant chemotherapy. All studies to date have focused exclusively on the ability of exercise to improve physical functioning or help patients cope with side-effects of treatment in order to improve quality of life. However, a critical and previously unexplored question is whether exercise training influences the efficacy of chemotherapy. To address this question, MDA-MB-231 breast carcinoma cells (5 X 106) were subcutaneously injected into the right flank of female athymic mice (age 3-4 weeks). Following tumor establishment (14 days), mice were stratified by tumor volume and randomly assigned to one of four groups (n=21 per group): (i) control (CO), (ii) exercise only (EX), (iii) chemotherapy only (CT), or (iv) exercise + chemotherapy (EX+CT). Doxorubicin was administered through weekly intravenous lateral tail vein injections at 4mg/kg for 8 weeks. Exercise groups performed progressive treadmill running up to 18m/min at 0% grade for 45mins, 5 days/wk for 8 weeks. Mice were sacrificed when tumor volume reached 1100mm3 as required by institutional guidelines or 48 hours following the final exercise training session. Tumor volume was measured twice weekly. The primary endpoint was tumor growth delay, calculated as the median number of days for tumor burden to reach 1100mm3. Survival times were compared using the log-rank test and all tests were two-sided. Median tumor growth delay was significantly longer in the CT and EX+CT groups compared with the CO (42 days vs. 25 days, RR 0.38, p=0.0084; 36 days vs. 25 days, RR 0.46, p=0.029, respectively) and EX groups (42 days vs. 25 days, RR 0.45, p=0.029; 36 days vs. 25 days, RR 0.54, p=0.080, respectively). There was no significant difference between CT and EX+CT groups (42 days vs. 36 days, RR 1.44, p=0.33). At 56 days, Kaplan-Meier estimates indicated a 35% (95% CI=17% to 54%) survival rate for the CT mice compared with 20% (95% CI=7% to 33 %) in the EX+CT group, 16% (95% CI=2% to 31%) in the EX group and 0% in the CO group. This data suggests that moderate intensity endurance exercise does not significantly influence doxorubicin-induced tumor growth delay in athymic mice implanted with breast carcinoma cell line MDA-MB 231. However, the trend for longer survival with doxorubicin only, suggests that exercise training during chemotherapy may inhibit the efficacy of this therapy. Future studies are underway to explore mechanisms of this potential interaction. This study was supported by a grant from the United States Department of Defense Breast Cancer Research Program - Concept Award.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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.

Opus teacher head0.070
GPT teacher head0.457
Teacher spread0.387 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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