External Qi of Yan Xin Qigong Induces Apoptosis and Inhibits Migration and Invasion of Estrogen-Independent Breast Cancer Cells Through Suppression of Akt/NF-ĸB Signaling
Bibliographic record
Abstract
The antitumor effects of external Qi of Yan Xin Qigong (YXQ-EQ) have been widely described over the past three decades. To gain a better understanding of the mechanisms underlying YXQ-EQ's antitumor effects, in the present study we investigated its effects on growth, migration, invasion and apoptosis of breast cancer cells and the underlying molecular mechanisms. We show that YXQ-EQ treatment caused a time-dependent reduction in viability, blocked clonogenic growth and induced apoptosis in estrogen-independent breast cancer MDA-MB-231 cells. Furthermore, YXQ-EQ treatment blocked migration and invasion of MDA-MB-231 cells. Biochemically, YXQ-EQ treatment markedly inhibited constitutive and EGF-induced Akt phosphorylation. YXQ-EQ also substantially repressed NF-kappaB activity, resulting in decreased expression of anti-apoptotic Bcl-2, Bcl-X(L), XIAP and survivin proteins. These findings suggest that YXQ-EQ may induce apoptosis and inhibition of migration and invasion of MDA-MB-231 cells through the repression of Akt/NF-kappaB signaling.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".